The effects of work on cognitive functions: a systematic review

Introduction: Cognitive functions play a crucial role in individual’s life since they represent the mental abilities necessary to perform any activity. During working life, having healthy cognitive functioning is essential for the proper performance of work, but it is especially crucial for preserving cognitive abilities and thus ensuring healthy cognitive aging after retirement. The aim of this paper was to systematically review the scientific literature related to the effects of work on cognitive functions to assess which work-related factors most adversely affect them.

Method: We queried the PubMed and Scopus electronic databases, in February 2023, according to the PRISMA guidelines (PROSPERO ID number = CRD42023439172), and articles were included if they met all the inclusion criteria and survived a quality assessment. From an initial pool of 61,781 papers, we retained a final sample of 64 articles, which were divided into 5 categories based on work-related factors: shift work (n = 39), sedentary work (n = 7), occupational stress (n = 12), prolonged working hours (n = 3), and expertise (n = 3).

Results: The results showed that shift work, occupational stress, and, probably, prolonged working hours have detrimental effects on cognitive functioning; instead, results related to sedentary work and expertise on cognitive functions are inconclusive and extremely miscellaneous.

Discussion: Therefore, workplace health and well-being promotion should consider reducing or rescheduling night shift, the creation of less demanding and more resourceful work environments and the use of micro-breaks to preserve workers’ cognitive functioning both before and after retirement.

Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023439172, identifier CRD42023439172.

1 Introduction

Cognitive functions play a crucial role in the daily life of every human being because they represent the basic mental abilities for performing any activity. They include attention, memory and learning, perceptual motor function, executive functions, and language; each of these allows human beings to perceive the world around them and to make decisions, but also to perform from the simplest task, such as remembering a telephone number or brushing teeth, to more complex ones such as reading a book or using the internet. Among the various activities that we are able to perform with the support of cognitive functions is clearly included the execution of any kind of work. During working life, having healthy cognitive functioning is essential for the proper performance of work, but it is especially crucial for preserving cognitive abilities and thus ensuring healthy cognitive aging after retirement (Cohen et al., 2019). In everyday life, there are a lot of different factors that can contribute to the preservation of adequate cognitive abilities, such as physical activity and social engagement (Ihle et al., 2015), mental activities (e.g., taking courses, learning new languages) or cognitively stimulating leisure activities (e.g., go to the theatre) (Hultsch et al., 1993; Schooler and Mulatu, 2001), and it is well known that even a high cognitive level of one’s job leads to cognitive enrichment (Stern et al., 1995; Schooler et al., 1999), in the same way as all other variables. On the contrary, however, there are also many factors that negatively impact cognitive functions such as, for example, prolonged exposure to stress leading to the loss of neurons, particularly in the hippocampus, which is altered by the increase in glucocorticoids and results in cognitive impairment (McEwen and Sapolsky, 1995), sleep problems such as insomnia can induce cognitive impairment (Brownlow et al., 2020) but even acute states of sleep deprivation can trigger deterioration in one or more cognitive functions (Wang et al., 2021; Bufano et al., 2023), and sedentary behaviour is associated with lower cognitive performance (Falck et al., 2017). All these factors, both positive and negative, may be intrinsic in different types of work and may contribute to both adequate preservation of cognitive functions and cognitive impairment. Therefore, the study of how work can have an impact on cognitive function, both in a positive way and, above all, in a preventive health perspective, in a negative way, has become a priority in the field of prevention and healthy aging, as shown by the growing interest of the European community (Salazar-Xirinachs, 2012; Vendramin et al., 2012; Belin et al., 2016) and latest research on the topic (Vives et al., 2018; Rinsky-Halivni et al., 2022; Bonzini et al., 2023).

If we look at cognitive aging from the perspective of normative aging, there are three main theories explaining the effects of work on cognitive functions and take into account both the level of mental activity experienced during working life and the type of working environment encountered by the worker. The primary theory, which currently guides the line of research, is the “use-it-or-lose-it” hypothesis (Hultsch et al., 1999; Salthouse, 2006, 2016), according to which the individual level of cognitive functioning depends on two mechanisms: differential preservation and preserved differentiation. For the first one, individuals who are mentally active tends to preserve their cognitive functions more than those who are not mentally active; the second one postulates that individuals with higher levels of cognitive functioning during life retain these beneficial levels as they age. There are two other prominent theories: “the Brain or Cognitive reserve hypothesis” (Mortimer and Graves, 1993; Stern, 2002; Fratiglioni and Wang, 2007) and “Schooler’s theory of environmental influences on cognitive functioning” (Schooler, 1984, 1990). The cognitive reserve hypothesis states that people who attend mentally stimulating environments will have improved neuronal development, resulting in increased cognitive reserve. This cognitive reserve could be critical in facing neuronal insults and cognitive decline, increasing individual resilience, and thus leading to healthier aging (Mortimer and Graves, 1993; Stern, 2002; Fratiglioni and Wang, 2007). The Schooler’s theory holds that complex environments that promotes cognitive effort lead people to develop their intellect and apply new cognitive processes, thereby improving cognitive functioning. Conversely, if the environment do not stimulate high levels of cognitive functioning, intellectual abilities will not be maintained and there will be a decrease in cognitive functioning (Schooler, 1984, 1990). All these theoretical frameworks follow the same line: by stimulating cognitive functions in a positive way, either through mentally active jobs or enriched working environments, cognitive functions are preserved and protected, and people move toward healthier cognitive aging.

On the other hand, however, these theories remain valid and applicable as long as we talk about normative aging, since there are several factors intrinsic to various types of work that can have a negative impact on cognitive functions, causing short-term cognitive impairment and early cognitive decline after retirement. Referring to the negative factors mentioned above (i.e., sleep disturbances, stress, and sedentary behaviour), there are several studies in the literature that relate them to different types of work and show the negative effects they could have on cognitive functioning. Shift work (i.e., an employment practice designed to keep a service or production line operational at all times, even during the night) is certainly linked to sleep disturbances that can induce cognitive impairment, but also to cardiovascular diseases (Kantermann et al., 2012) which can lead to the same outcome (Picano et al., 2014). Highly demanding jobs that induce work-related stress (i.e., a response that people may have when exposed to job demands and pressures that do not match their knowledge and skills) may increase the risk of dementia (Andel et al., 2012), and sedentary behaviour [i.e., any waking behaviour characterized by an energy expenditure ≤1.5 metabolic equivalents (METs), while in a sitting, reclining, or lying posture (Marconcin et al., 2021)], caused by office work has as a potential outcome cognitive impairment (Park et al., 2020), although its effects are often mixed (Magnon et al., 2018).

We identified some work-related factors that can adversely affect cognitive functions and lead to cognitive impairment and probable pathological aging after retirement, but they are probably not the only ones; a comprehensive understanding of what all these factors are would be very important both from a prevention perspective and from a care perspective, with the aim of protecting their cognitive health and trying to ensure healthy cognitive aging.

Therefore, to achieve this goal and obtain a comprehensive overview of work-related factors influencing cognitive functions, our idea is to gather all the scientific literature on the topic through a systematic review using both, specific keywords related to the above-mentioned factors that negatively adverse cognitive functions, and generic keywords to try to broaden the search and discover other factors that may also exist.

2 Materials and methods

2.1 Study design and search strategy

We conducted this systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines (Moher et al., 2009; Page et al., 2021). PRISMA comprises a 27-item checklist to ensure and promote the quality of systematic reviews; this checklist is reported in Supplementary Tables S1, S3 (for abstract checklist). The protocol employed in the current systematic review has been submitted for registration (ID number = CRD42023439172) to the international prospective register for systematic reviews database (PROSPERO. Available online https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42023439172; accessed on July 06, 2023). The retrieval process consisted of three phases.

2.2 Systematic search phases

2.2.1 Preliminary research and definition of keywords

During the first phase, started in February 2023, we carried out preliminary research in absence of specific keywords based on the review of Fisher et al. (2017), to define search criteria and identify the specific keywords to be used. Before defining the final list of keywords, we started from a very large list that, when entered into search engines, produced a massive number of results. We therefore removed nonspecific keywords and, on the fourth attempt, based on our research question, defined specific keywords (see Table 1) related to two domains: “Work” and “Cognitive Functions,” for inclusion in search engines to conduct the systematic research.

Table 1

Table 1. List of selected keywords.

2.2.2 Systematic search and definition of PICOS

The second phase, conducted in February 2023, consisted of a systematic search among titles, abstracts, and keywords of scientific papers, using the electronic databases PubMed and Scopus, based on the selected keywords, properly combined through the Boolean operators “AND” and “OR”; no temporal restriction was set, so all articles published up to February 2023 in Italian and English were included in the systematic search. The search strategy, including all keywords used and the number of studies found from each database, was analytically reported in Table 2.

Table 2

Table 2. Search strategy.

The final selection of papers for inclusion was carried out according to the Population, Intervention, Comparison, Outcomes, and Study Design (PICOS) worksheet (Moher et al., 2009; Page et al., 2021), summarised in Table 3. We defined the following PICOS criteria: Population, we chose “Healthy Workers (or not diagnosed)” as the inclusion criteria and “Clinical based population” as exclusion criteria because we aimed to avoid including populations in which, an organic disease or mental disorder could affect cognitive functions by generating a bias in the assessment; Interventions, we chose as inclusion criteria “Assessment of cognitive function without chemical/ or neurotoxic, or physical hazard exposure” to avoid including jobs where the worker’s exposure to various substances could create a bias in the assessment of cognitive function; Comparisons, we chose as inclusion criteria “Control Group (Between or Within design)” in order to have a comparison between two populations working different jobs (e.g., shift work vs. non-shift work), or between the same population during different shifts (night shift work vs. day shift work), in order to see if there was a variation in cognitive functioning due to the factor the study was investigating; Outcomes, we chose as inclusion criteria “Change or non-change of cognitive function according to different conditions,” to have a real evaluation of cognitive functioning through the use of cognitive test, thus studies with a quantitative measure of cognitive functioning; Study Design, we chose “Review, Scoping Review, Narrative Review, Systematic Review, Meta-Analysis, Editorial, Book, Case Report, Conference Review, and Conference Paper” as exclusion criteria following the guidelines to carry out a Systematic Review.

Table 3

Table 3. Population, intervention, comparison, outcomes and study design (PICOS) worksheet.

2.2.3 Application of PICOS study design exclusion criteria

The final phase consisted of a first step in which, following PICOS criteria related to the Study Design section, we excluded all reviews, both narrative and systematic ones, meta-analyses, and conference papers, to substantially reduce the number of included studies.

2.2.4 Title and abstract selection

By reading the titles and abstract we excluded all studies that did not match with the research question.

2.2.5 Full-text selection according to PICOS criteria

Finally, we included in the systematic review only clinical or epidemiological studies that investigated the effects of work on cognitive functions in groups of workers. The included papers were read thoroughly to obtain the data of our interest.

2.2.6 Synthesis method

The included papers were clustered according to the work-related factors that may affect cognitive functions and then, for each study, we extracted all the information shown in Tables 4–8 as described next:

Table 4

Table 4. Shift work and cognitive function: retrieved studies and their main outcomes.

Table 5

Table 5. Sedentary work and cognitive function: retrieved studies and their main outcomes.

Table 6

Table 6. Occupational stress and cognitive function: retrieved studies and their main outcomes.

Table 7

Table 7. Prolonged working hours and cognitive function: retrieved studies and their main outcomes.

Table 8

Table 8. Expertise and cognitive function: retrieved studies and their main outcomes.

Study = name of authors, year; Country (Region) = where the study took place; Goal of study = Objective of the study; Sample = sample size; Cognitive domains investigated = which cognitive domain were investigated; Cognitive functions assessed for each domain = which cognitive functions were investigated for each domain; Cognitive tests used for each function = which cognitive test were used to evaluate each cognitive function; Synthesis of main results = narrative summary of results.

2.2.7 Study risk of bias assessment

We assessed the risk of bias for each study in Supplementary Table S2 by compiling the AXIS tool (Downes et al., 2016).

3 Results

3.1 Flow diagram

Figure 1 shows all the phases in the systematic review process. The research carried out on PubMed and Scopus yielded 13,455 and 48,066 studies, respectively. These 61,781 papers were merged in a non-redundant database and 49,255 papers remained. Then, by eliminating all studies not related to our research question and all studies that did not match PICOS criteria related to Study Design (exclusion for all types of reviews, meta-analysis, and conference papers), the number of studies was reduced to 703, of which 2 were not retrieved. Finally, by applying all the PICOS criteria, we obtained 64 studies to be included in the systematic review.

Figure 1

Figure 1. Flow diagram.

3.2 Study selection and characteristics

Two independent reviewers (P.B. and M.L.) checked the pool of 49,255 abstracts collected from PubMed and Scopus search engine outputs; any disagreement was discussed with M.B. as the arbiter. Titles and abstracts were screened, and 48,550 were removed through a semi-automatic script created via MATLAB (The MathWorks, Inc., Natick, MA, United States), according to PICOS criteria related to Study Design (14,590 papers) and irrelevance to the research question (34,258 papers). The remaining 703 papers were checked for eligibility according to the remaining PICOS criteria, all clinical based population studies (58), all studies regarding chemical/physical risk (272), all studies with no control group (123) and lastly, all studies without a quantitative evaluation of cognitive functions (184) were excluded, 2 papers were not retrieved even after explicit request to the corresponding authors. Finally, 64 articles were included, summarized in Tables 4–8, which shows the main information of each, divided according to work-related factors that may affect cognitive functions.

3.3 Synthesized findings

In this subsection, for each study, we reported the main findings of pertinence for this systematic review grouped according to work-related factors that may affect cognitive functions.

3.3.1 Shift work and cognitive functions

Among 64 studies included in the systematic review, 39 were related to the effect of shift work on cognitive functions (Table 4) (Deary and Tait, 1987; Orton and Gruzelier, 1989; Lingenfelser et al., 1994; Smith et al., 1995; Petru et al., 2005; Rouch et al., 2005; Saricaoğlu et al., 2005; Griffiths et al., 2006; Chang et al., 2011, 2013a,b; Anderson et al., 2012; Shwetha and Sudhakar, 2012, 2014; Niu et al., 2013; Özdemir et al., 2013; Veddeng et al., 2014; Kazemi et al., 2016, 2018; Maltese et al., 2016; Titova et al., 2016; Vajravelu et al., 2016; Haidarimoghadam et al., 2017; Soares and de Almondes, 2017; Williams et al., 2017; Persico et al., 2018; Taylor et al., 2019; Abdelhamid et al., 2020; Adams and Venter, 2020; Athar et al., 2020; James et al., 2021; Prasad et al., 2021; Stout et al., 2021; Sun et al., 2021; Zhao et al., 2021; An et al., 2022; Benítez-Provedo et al., 2022; Esmaily et al., 2022; Peng et al., 2022).

Abdelhamid et al. (2020) evaluated the differences in cognitive functions among 50 anaesthesia residents before and after a 24-h shift and found that after the shift their cognitive processes were impaired. Adams and Venter (2020) wanted to quantify the effects of shift work on cognitive functions in anaesthesiology trainees and observed that after 14-h night shift they had a decline in reaction time, psychomotor functions and attention. An et al. (2022) explored the effects of different work shifts on cognitive and executive performance in nurses, showing that reported fatigue after the evening shift can negatively affect reaction time. Anderson et al. (2012) sought to quantify the cognitive deterioration due to repeated exposure to 24- to 30-h shift and found progressive impairment due to chronic sleep deficiency. Athar et al. (2020) investigated the influence of shift work on executive functions, finding impairment of areas deputed to executive functions, such as prefrontal area. Benítez-Provedo et al. (2022) evaluated the change in several cognitive functions after a guard shift in physicians, noting lower performance in executive functions and attention. Chang and colleagues carried out three studies (Chang et al., 2011, 2013a,b) on nurses: in the first one (2011) they compared cognitive performance at the time of maximum fatigue (3–4 a.m. on the last night shift of the rotation) among nurses who had been working for two, three, or four consecutive night shifts; the results showed greater impairment of perceptual and motor ability after two consecutive night shifts compared with four consecutive night shifts; in the second (Chang et al., 2013a), they explored changes in cognitive functions in the daytime of nurses working on fast rotating shifts and found a poorer performance on visual attentive task; in the third (Chang et al., 2013b), they explored the same changes as the previous study but after one block of fast forward rotating shift (2 days, 2 evenings, and 2 nights), finding no changes in cognitive performance. Deary and Tait (1987) evaluated the effect of sleep loss due to night shift on cognitive performance of medical house officers and found a negative effect on memory. Esmaily et al. (2022) evaluated the relationship between shift work and cognitive performance in nurses and the study showed that shift work can impair working memory and attention especially after a night shift. Griffiths et al. (2006) characterized the cognitive performance of anaesthetic registrars before and after a night shift noting a deterioration in performance speed at the end of night shift and a decline in cognitive performance after a series of night shifts. Haidarimoghadam et al. (2017) estimated the effects of consecutive night shifts and shift length on cognitive performance in a sample of room operators, finding a significant negative impact on reaction time and a reduction in correct responses and response time to the working memory task. James et al. (2021) determined the extent of changes in cognition in nurses after three consecutive 12-h shifts, detecting a significant negative effect on reaction time and number of psychomotor lapses. Kazemi and colleagues carried out two studies (Kazemi et al., 2016, 2018) on control room operators: in the first (Kazemi et al., 2016), they found a decline in cognitive performance after day and night shifts; in the second (Kazemi et al., 2018), they measured cognitive performance after seven and four consecutive night shifts and detected that those who worked seven consecutive night shifts had significantly better cognitive performance than those who worked four consecutive night shifts. Lingenfelser et al. (1994) evaluated cognitive functions in hospital doctors after a night shift, noting a considerable decrease. Maltese et al. (2016) assessed cognitive performance in a group of intensivist doctors after a night shift and found that it was significantly impaired. Niu et al. (2013) investigated selective attention in nurses with different shifts, noting that after the night shift both attention and operation speed of work were impaired. Orton and Gruzelier (1989) studied the effects of night shifts on young doctors and concluded that working long hours may adversely affect the cognitive functions. Özdemir et al. (2013) analysed the effects of shift work on health care workers’ memory, attention, and learning, finding a significantly poorer cognitive performance after night shift, particularly for working memory. Peng et al. (2022) noted a decrease in decision making competence due to night shift among nurses. Persico et al. (2018) evaluated cognitive performance of emergency physician after a night shift of 14 h or 24 h compared with a rest night at home and found a significant alteration of cognitive abilities after a 24-h shift but not after a 14-h shift. Petru et al. (2005) compared cognitive and psychomotor performance between night shift and early-late shift in a sample of automobile workers; the results indicated that, if chosen voluntarily, night shift had no immediate effects on performance compared with early-late shift. Prasad et al. (2021) evaluated changes in cognitive functions after 6 or 12 h shift compared with a day off in a sample of anaesthesia residents; they found significant differences in sustained attention performance between the 6 and 12 shift and the day off but not for memory and executive functions. Rouch et al. (2005) studied the long-term influence of shift work on verbal memory and speed performances, demonstrating a trend toward impairment over the long term. Saricaoğlu et al. (2005) investigated memory and learning between 12-h day shift and night shift in a sample of anaesthesia residents, noting that cognitive functions may be impaired after the night shift. Shwetha and Sudhakar (2012, 2014) carried out two studies: in both studies they compared cognitive functions in business process outsourcing (BPO) shift workers versus non-BPO employees not working in shifts; it was found that BPO employees performed poorly in mental speed, learning, memory, and response inhibition but not in working memory. Smith et al. (1995) studied the effect of shift work on cognitive performance in nuclear power workers, finding significant variations in alertness and performance during 12-h night shift. Soares and de Almondes (2017) explored the connection between sleep quality (night shift versus day shift) and visuospatial perception in petrochemical workers; the results suggested that good sleep quality (day shift) could be associated with better visuospatial performance. Stout et al. (2021) sought to determine the impact of shift work on cognitive functions in firefighters and reported that even minimal sleep disruption, caused by night shift, affected cognitive functioning, increasing risk of poor work performance or injury. Sun et al. (2021) compared cognitive functions among different work shifts in an emergency department and found night shift work to be associated with a decrease in cognitive performance. Taylor et al. (2019) compared cognitive performance and vigilance at the start and end of each work shift within a three-shift schedule in police forces; the results showed a significant main effect of shift type in visuo-spatial task. Titova et al. (2016) investigated whether self-reported shift work history had an association with cognitive performance and results indicated that shift work history was related to poorer performance. Vajravelu et al. (2016) compared cognitive functions in night shift workers and day workers finding an alteration of attention in night shift workers. Veddeng et al. (2014) assessed whether gynaecologists have impaired laparoscopic skills and/or reduced cognitive functions after long on-call hours; results showed a small increase in reaction time but no other signs of reduced cognitive functions. Williams et al. (2017) investigated whether measurable executive function differences existed following a single overnight call versus routine shift, demonstrating that overnight call residents had both sensorimotor and cognitive slowing compared to routine daytime shift residents. Zhao et al. (2021) explored the effects of shift work on sleep and cognitive functions in middle-aged male miners, noting that night shift workers in adulthood would tend to have impaired working memory (Chang et al., 2013b).

3.3.2 Sedentary work and cognitive functions

Among 64 studies included in the systematic review, 7 were related to the effect of sedentary work on cognitive functions (Table 5) (John et al., 2009; Ohlinger et al., 2011; Russell et al., 2016; Baker et al., 2018a,b,c; Bojsen-Møller et al., 2019).

Baker and colleagues carried out three studies (Baker et al., 2018a,b,c): in the first (Baker et al., 2018a), they examined the impact of prolonged standings on cognitive functions, finding that sustained attention deteriorated, while creative problem solving improved; in the second (Baker et al., 2018b), they investigated whether the use of a movement intervention when undertaking prolonged standing affected discomfort and cognitive functions and found no advantage in discomfort or cognitive functions; in the third (Baker et al., 2018c), they assessed cognitive functioning over 2 h of prolonged sitting and observed that increased discomfort in all areas of the body that can affect cognitive functioning. Bojsen-Møller et al. (2019) explored the associations between physical activity, sitting behaviour (SB) and cognitive functions: they found that duration of moderate-to-vigorous physical activity (MVPA) was associated with better selective attention performance but results did not support the hypothesis that more time spent in MVPA or less time in SB was associated with better cognitive functions. John et al. (2009) assessed the differences between treadmill walking and sitting conditions on motor skills and cognitive functioning during work; results showed that treadmill walking caused a decrease in fine motor skills and math problem solving compared with the sitting condition however no differences were found concerning selective attention, processing speed or reading comprehension. Ohlinger et al. (2011) estimated the ability of performing cognitive tasks in workers while sitting, standing or walking at an active workstation; results indicated that the addition of the walking task did not alter performance in immediate recall and selective attention, but caused a decline in motor speed performance. Russell et al. (2016) examined the effect of sitting versus standing for 1 h per day for five consecutive days on cognitive functions and found no differences between the two conditions.

3.3.3 Occupational stress and cognitive functions

Among 64 studies included in the systematic review, 12 were related to the effect of occupational stress on cognitive functions (Table 6) (Van Der Linden et al., 2005; Elovainio et al., 2009; Nguyen et al., 2012; Vuori et al., 2014; Eskildsen et al., 2015; Gutshall et al., 2017; Landolt et al., 2017; de Souza-Talarico et al., 2020; Gafarov et al., 2021; Zhuo et al., 2021; Farahat et al., 2022; Cano-López et al., 2023).

Cano-López et al. (2023) characterized the level of burnout among primary healthcare professionals and its relationship with cognitive functions; results suggested that burnout was related to poor cognitive functioning. de Souza-Talarico et al. (2020) found that work-related stress was associated with lower performance in delayed recall, verbal fluency, and executive functions in middle aged workers. Eskildsen et al. (2015) examined whether patients presenting work-related stress complaints displayed cognitive impairment. When compared to stress-free, patients showed slightly reduced performance across all measured domains of the neuropsychological test battery. Elovainio et al. (2009) tested the association between high strain, active jobs and cognitive function in middle aged men and women; results showed that longer exposure to high strain job was associated with lower scores in most of the cognitive performance test, but these associations disappeared on adjustment for employment grade. Farahat et al. (2022) assessed work-related stress in healthcare workers and its impact on cognitive functions, noting an impairment due to stress exposure. Gafarov et al. (2021) investigated the effect of workplace stress on cognitive functions of young workers, and those who experienced stress displayed a decrease in cognitive functions. Gutshall et al. (2017) examined the effect of occupational stress on working memory in police officers, finding a deficit after a stressful event. Landolt et al. (2017) assessed the relationship between work stress, decision-making and reaction times in jockeys; higher occupational stress was significantly correlated with decrements in decision-making. Nguyen et al. (2012) examined the relationship between stress and change in cognitive functioning in farmworkers ascertaining that stress was an important risk factor for poor cognitive functioning. Van Der Linden et al. (2005) evaluated the association between burnout levels and attentional deficits, finding that burnout was associated with difficulties in voluntary control over attention and that the level of such difficulties varied along with the severity of burnout symptoms. Vuori et al. (2014) investigated the relationship between work stress and cognitive performance, noting a negative association between work stress and speed of memory retrieval. Zhuo et al. (2021) evaluated the association of job strain with cognitive ability and finding that high strain jobs were associated with lower levels of cognitive ability.

3.3.4 Prolonged working hours and cognitive functions

Among 64 studies included in the systematic review, 3 were related to the effect of prolonged working hours on cognitive functions (Table 7) (Proctor et al., 1996; Ansiau et al., 2008; Virtanen et al., 2009).

Ansiau et al. (2008) examined the consequences of working condition on the previous day on cognitive performance the following day, finding that both physical activity and working before 6 a.m. or after 10 p.m. on the previous day were significantly associated with poorer cognitive performance. Proctor et al. (1996) evaluated whether increased overtime work predicted impairment in cognitive performance, finding that increased overtime was significantly associated with impaired performance on several tests of attention and executive function. Virtanen et al. (2009) examined the association between long working hours and cognitive function in middle age and results showed that long working hours may have a negative effect on cognitive performance in middle age.

3.3.5 Expertise and cognitive functions

Among 64 studies included in the systematic review, 3 were related to the effect of expertise on cognitive functions (Table 8) (Colonia-Willner, 1998; Ovaskainen and Heikkilä, 2007; Wagner-Hartl et al., 2018).

Colonia-Willner (1998) sought to determine differences in cognitive performance in the domain of intelligence between expert and non-expert bank managers, and the results suggested that stabilization of some aspects of intelligence may occur in older age when workers are more experienced. Ovaskainen and Heikkilä (2007) determined the differences in cognitive abilities and productivity between timber harvester operators and students operators; results showed no differences in cognitive abilities but the highest productivity level among students was almost as the lowest productivity of the operators. Wagner-Hartl et al. (2018) examined cognitive functions in young and old (expert) white-collars during extended working time, finding slower reaction time and more error in older workers.

4 Discussion

Building on the three main theories “Use-it-or-lose-it” (Hultsch et al., 1999; Salthouse, 2006, 2016), “the Brain or Cognitive reserve hypothesis” (Mortimer and Graves, 1993; Stern, 2002; Fratiglioni and Wang, 2007) and, “Schooler’s theory of environmental influences on cognitive functioning” (Schooler, 1984, 1990) which describe how different kinds of job and different work environments can influence the cognitive aging in a normative way, the question we asked was: “What happens to this normative functioning when factors intrinsic to the work itself, or factors caused by the work, intrude in workers’ lives and impair their cognitive functioning? “. We were sure that shift work, based on the very extensive literature on the subject, caused sleep disturbances, thus dysregulation of circadian rhythm and many other alterations (Kantermann et al., 2012) that targeted cognitive functioning (Ma et al., 2020). Just as we were certain that stress, including stress in the workplace, increased burnout risk and resulted in cognitive impairment (Lupien et al., 2009) and that sedentary behaviours, on the other hand, had effects on cognitive functioning (Gafni et al., 2021), but there were still doubts about their actual impact (Magnon et al., 2018). But we also had the doubt that these were not the only factors that could influence cognitive functioning, for this reason we decided to draft a systematic review to classify the effects of different work-related factors on cognitive functions.

This review had to include studies that quantitatively assessed workers’ cognitive functions according to different work-related factors, aiming to identify potential variations in cognitive functioning between workers exposed and not exposed to these factors, as well as differences among workers with varying levels of exposure (e.g., the same workers exposed to both night shift and day shift).

At the end of the review process, we classified the included studies according to the strict criteria into five categories: “Shift Work,” “Occupational Stress,” Sedentary Work,” “Prolonged Working Hours,” and “Expertise. Therefore, two new categories (Extended Working Hours and Competence) were introduced in addition to the three assumed during the formulation of the research question.

The category with the largest number of included studies, as expected, was “shift work” (39 studies out of 64): since it is well known the neurocognitive impairment it can cause (Vlasak et al., 2022), particularly when the shift is performed at night (Leso et al., 2021), and therefore many studies dealt with it as a better quantification of the possible damage is essential. The other most studied category is “occupational stress” (12 studies), followed by “sedentary work” (7 studies) and “prolonged working hours” (3 studies), while the last 3 studies are focused on the effect of “expertise” on cognitive functions.

The included studies were conducted in developed countries across all continents (North America, South America, Europe, and Asia), while studies conducted in developing countries are still lacking.

In the following paragraphs we will discuss the results for each category one by one in separate sections.

4.1 Principal outcomes

4.1.1 Shift work and cognitive functions

Many studies focused their attention on the negative effects of shift work on circadian rhythm (Schettini et al., 2023) and consequently on sleep and cognitive functions. Particularly, most studies highlighted detrimental effects: such among healthcare workers, medical professionals, as anaesthesiologists had a decline in reaction time, problem-solving, attention, and mental flexibility after night shift (Saricaoğlu et al., 2005; Griffiths et al., 2006; Williams et al., 2017; Abdelhamid et al., 2020; Adams and Venter, 2020; Prasad et al., 2021), nurses had affected reaction time, motor ability, attention, cognitive flexibility, working memory, and decision making after work shift (Chang et al., 2011, 2013a,b; Niu et al., 2013; James et al., 2021; Sun et al., 2021; An et al., 2022; Esmaily et al., 2022; Peng et al., 2022), other categories of physicians(intensivists, emergency doctors, gynaecologists, junior doctors, hospital doctors, medical house officers, postgraduate year one physicians) had a deficit in attention, executive function, memory, motor function, and reaction time after night shift (Deary and Tait, 1987; Orton and Gruzelier, 1989; Lingenfelser et al., 1994; Anderson et al., 2012; Özdemir et al., 2013; Veddeng et al., 2014; Maltese et al., 2016; Persico et al., 2018; Benítez-Provedo et al., 2022). Other workers, such as security staff (Vajravelu et al., 2016; Athar et al., 2020), control room operators (Kazemi et al., 2016, 2018; Haidarimoghadam et al., 2017), business process outsourcing employees (Shwetha and Sudhakar, 2012, 2014), power plant workers (Smith et al., 1995), petrochemical workers (Soares and de Almondes, 2017), firefighters (Stout et al., 2021), police employees (Taylor et al., 2019), miners (Zhao et al., 2021), and generic groups of workers (Rouch et al., 2005; Titova et al., 2016) had an impairment in one or more cognitive functions. The only study reporting a slight difference result from the others was the one involving automotive workers (Petru et al., 2005) which suggest no immediate negative effects in cognitive and psychomotor performance of night shift workers when compared with other workers, but this effect is observed only when the night shift was voluntary. It is therefore clear from all these studies that shift work, particularly night work with the aggravation of altered circadian rhythms and sleep patterns, causes damage to cognitive functions, particularly those related to alertness, sustained attention and working memory, corroborating previous studies on sleep deprivation (Nilsson et al., 2005; Joo et al., 2012). These results are in line with what we expected; the immense literature attesting to the damage to cognitive functioning caused by sleep problems is corroborated by studies involving those types of work that cause dysregulation. Long-term damage may be mitigated in jobs such as physician, which are less monotonous and repetitive than an assembly line in a factory, as asserted by “the Brain or Cognitive reserve hypothesis” (Mortimer and Graves, 1993; Stern, 2002; Fratiglioni and Wang, 2007), but the short-term effects remain equally hazardous to health.

4.1.2 Sedentary work and cognitive functions

Having sedentary behaviour more than 75% of the time was associated with cognitive impairment in middle age (Gafni et al., 2021), however the included studies have different outcomes. Some studies found no correlation between sedentary/standing behaviours and decrease in cognitive functions (Russell et al., 2016; Baker et al., 2018c; Bojsen-Møller et al., 2019); other studies tried to use movement interventions or treadmill walking to counteract sedentary behaviours but, one of these (Baker et al., 2018b) found no advantage on cognitive functions and the other two of these (John et al., 2009; Ohlinger et al., 2011) even found decreased performance in some tasks and no change in others; only one of the studies (Baker et al., 2018a) found a deterioration in sustained attention and reaction time, confirming results of previous studies. The overall results are not conclusive, partly due to the profound heterogeneity in the methods of the studies, which makes them difficult to compare even with the existing literature. Also for this category, as for the previous one, the results of the systematic review confirm the premises, the picture is still not entirely clear regarding the effect sedentary work can have on cognitive health. Sedentary work, combined with a incorrect diet and lack of physical activity, can certainly cause various health problems, such as cardiovascular disorders (Elagizi et al., 2020), which can result in cognitive impairment (Picano et al., 2014), but its effect per se is still not completely clear; more in-depth studies with different designs capable of isolating the sedentary factor and studying it individually, without the influence of other factors causing bias, will be necessary.

4.1.3 Occupational stress and cognitive functions

Stress exposure had a high detrimental effect on cognitive performance (Chen et al., 2022) and accelerated cognitive decline (Aggarwal et al., 2014). Health care workers are generally under great pressure that puts them at high risk of burnout, which has a critical effect on executive functioning (Cano-López et al., 2023), especially when they are on the front-line, such as during COVID-19 pandemic (Farahat et al., 2022). Among hospital workers, memory can be impaired by job stress as well (Vuori et al., 2014). However, not only health care workers are affected by cognitive impairment as a result of stress, even police officers (Gutshall et al., 2017), jockeys (Landolt et al., 2017), and farmworkers (Nguyen et al., 2012). Other studies have found lower cognitive performance related to job stress in young (Gafarov et al., 2021), middle-aged (Elovainio et al., 2009; de Souza-Talarico et al., 2020) workers, and after retirement (Zhuo et al., 2021) explaining that each age group may be affected, although in different ways. In this case, the included studies have very consistent results, all indicating a relationship between stress, burnout and poor cognitive functioning. This category is very consistent with the initial hypothesis we posited: the negative effects of stress can be very insidious and affect any area of health, especially cognitive functioning, which deteriorates with lack of concentration, a sense of hopelessness and then often results or overlaps with much more serious psychiatric disorders such as depression or anxiety disorders (Golonka et al., 2019).

4.1.4 Prolonged working hours and cognitive functions

Prolonged working hours category can be considered in the same way as shift work, but since it does not fit completely into the category, it deserved a separate section because while shift work has precise rules and defined hours, prolonged working hours consists precisely of working long hours without this control, without these rules, to the extent that work pervades almost the totality of a person’s daily routine. This resemblance suggests similar effects on cognitive functions: working after a certain time thereby extending one’s working hours (Ansiau et al., 2008), increasing overtime commitments (Proctor et al., 1996), and work more than 55 h per week compared with to 40 h per week (Virtanen et al., 2009), leads to a poorer cognitive performance in executive functions and attention, and could even have negative effect on cognitive performance in middle age. As expected, all these studies point in the same direction, which is that increased work hours lead to a deterioration of cognitive function that can also be expressed in middle age. In our initial hypothesis, we had not considered this category, partly because, as mentioned, it could be assimilated with shift work, but the three studies included deserved a separate category as they expressed different concepts and looked at cognitive impairment that is not caused by circadian dysregulation leading to sleep problems, but rather by an immersion in work that causes workers to pervade their daily lives.

4.1.5 Expertise and cognitive functions

The studies in this category matched our inclusion criteria, but deserve special mention because they deal with how experience can modify certain cognitive functions both positively and negatively. The three included studies regarding expertise found: a better cognitive functioning on the domain of intelligence in experts compared to non-experts bank managers (Colonia-Willner, 1998), no difference related to experience but only to good mastering of different abilities in timber harvester operators (Ovaskainen and Heikkilä, 2007), and slower reaction time in older but more experienced white-collar workers than in younger workers (Wagner-Hartl et al., 2018). This category is very heterogeneous and it cannot be said whether the experience has a positive or negative effect in general, in the intellectual part of the job certainly the effect can be described as positive but in the physical part the same does not apply, so we can say that the effects vary especially depending on the type of work, so a unified result cannot be obtained.

4.2 Limitations

This systematic review has some limitations. First, the inclusion of keywords such as “work,” however indispensable, massively enlarged the initial pool (on the order of one million papers), forcing us to eliminate less relevant keywords so as not to make it impossible to complete the selection work; conversely, we may have missed some papers to be included. Notwithstanding this, we believe that the initial pool of 61,781 papers constituted a solid starting point for reviewing all the literature regarding the topic. Another limitation concerned the choice of PICOS criteria; we were forced to narrow the field by excluding all work concerning the assessment of cognitive functions in workers exposed to chemicals/or neurotoxic substances, or physical hazard. This choice was made to focus our effort only on work-related risk factors modifiable through workplace health and wellbeing promotion strategies, otherwise the work would have been too dispersed; unfortunately, several interesting papers that could provide information on the effects of these types of jobs on cognitive functions were excluded. The last limitation concerns the included studies, some of which have small sample size but, in some cases these sample size was justified by power analyses, in other cases this lack of reliability is pointed out in AXIS Tool (Supplementary Table S2).

5 Conclusion

In conclusion, our systematic review showed that shift work and occupational stress have a consistent detrimental effect on cognitive functions, which is justified by the large number of studied included that confirm the literature on the topic. Shift work leads to chronic sleep deficiency, which in the long-term causes problems with attention and working memory, especially in the category of healthcare workers (e.g., nurses) who are exposed to shifts at any age and for long periods of time. Work-related stress increases the risk of burnout, which is related to poor cognitive functioning, and this risk cuts across different jobs.

The category of prolonged working hours also shows a strong negative effect on cognitive functions, but only three studies were included, that have very large sample sizes, not sufficient to give this result the same consistency as the two in the previous categories, although the negative effects are very clear; in fact, it can have immediate effects on cognitive functions, but the worst-case scenario is when the effects manifest themselves with early cognitive impairment in middle age.

So, we found evidence that relates to our research question posed as the goal of this paper the work-related factors that most and most negatively affect cognitive function are: shift work (especially night shift), occupational stress, and, most likely although further evidence is needed, prolonged working hours. These findings suggest that workplace health and wellbeing promotion should consider, for example, reducing or rescheduling night shifts to lessen circadian disruption and inadequate sleep quality (Garde et al., 2020) and/or reducing occupational stress by creating less demanding and more resourceful work environments (Bakker and Demerouti, 2014). Another idea, supported by literature, especially during prolonged working hours, but also in the other two harmful categories, is to take micro-breaks as possible cognitive recovery mechanisms in the workplace; specifically, these are not cognitive activities such as reading short magazine articles, doing personal projects or surfing the Internet, which exacerbate the effects of the workload, but rather moments of relaxation such as short naps, walks around the office, stretching, listening to music and daydreaming, or micro-social break activities, which refer to relatively short online or offline interactions with colleagues and other people outside work while at work (Kim et al., 2017).

All these suggestions emphasise the importance of protecting the health of during the working period in order to lead them to a safer working age that can lead to a reduced risk of early cognitive decline in post-retirement life.

In contrast, results related to sedentary work and expertise have been inconclusive and extremely miscellaneous, thus more studies are needed; but on this point it is very important to emphasise, especially for studies on sedentary work, the lack of a common methodological design. These studies would benefit greatly from a group-based design, in which conditions (e.g., sedentary work habits) are isolated and compared in terms of between-subject comparisons (Schumann et al., 2022).

Finally, in order to get a total picture on the impact of work-related factors on cognitive functioning, two future prospective could be: in future systematic reviews include categories excluded a priori from this research (e.g., workers exposed to chemicals/or neurotoxic substances, or physical hazard), and conduct studies with larger samples (Bonzini et al., 2023) and more consistent methodologies.

Data availability statement

The original contributions presented in the study are included in the article/Supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

PB: Conceptualization, Data curation, Investigation, Methodology, Software, Writing – original draft, Writing – review & editing. CT: Funding acquisition, Writing – review & editing. AF: Writing – review & editing. TB: Writing – review & editing. AC: Writing – review & editing. CC: Investigation, Writing – review & editing. LF: Writing – review & editing. FM: Writing – review & editing. ML: Conceptualization, Investigation, Methodology, Software, Supervision, Writing – review & editing. MB: Conceptualization, Methodology, Project administration, Supervision, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This was supported, after peer review, by the Italian National Institute for Insurance against Accidents at Work (INAIL) with the BRIC 2019 project (“PROAGEING – Promuovere la produttività e il benessere dei lavoratori che invecchiano: studio prospettico di work ability, età cognitiva e biologica in un mondo del lavoro in cambiamento”).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fpsyg.2024.1351625/full#supplementary-material

References

Abdelhamid, B. M., Omar, H., Hassan, M. M., Embaby, S. A., Rady, A., and Mohamed Aly, H. (2020). Effects of partial sleep deprivation following night shift on cognitive functions of Egyptian anesthesiologists; prospective observational study. Egypt. J. Anaesth. 36, 61–68. doi: 10.1080/11101849.2020.1768630

Crossref Full Text | Google Scholar

Adams, T. P., and Venter, S. (2020). All night long: An assessment of the cognitive effects of night shift work in anaesthesiology trainees. South. Afr. J. Anaesth. Analg. 26, 287–292. doi: 10.36303/SAJAA.2020.26.6.2361

Crossref Full Text | Google Scholar

Aggarwal, N. T., Wilson, R. S., Beck, T. L., Rajan, K. B., Mendes de Leon, C. F., Evans, D. A., et al. (2014). Perceived stress and change in cognitive function among adults 65 years and older. Psychosom. Med. 76, 80–85. doi: 10.1097/PSY.0000000000000016

PubMed Abstract | Crossref Full Text | Google Scholar

An, R., Li, C., Ai, S., Wu, Y., Luo, X., Li, X., et al. (2022). Effect of shift work on fatigue, reaction time and accuracy of nurses in the Department of Neurology: a cross-sectional observational study. J. Nurs. Manag. 30, 2074–2083. doi: 10.1111/jonm.13665

Crossref Full Text | Google Scholar

Andel, R., Crowe, M., Hahn, E. A., Mortimer, J. A., Pedersen, N. L., Fratiglioni, L., et al. (2012). Work-related stress may increase the risk of vascular dementia. J. Am. Geriatr. Soc. 60, 60–67. doi: 10.1111/j.1532-5415.2011.03777.x

Crossref Full Text | Google Scholar

Anderson, C., Sullivan, J. P., Flynn-Evans, E. E., Cade, B. E., Czeisler, C. A., and Lockley, S. W. (2012). Deterioration of neurobehavioral performance in resident physicians during repeated exposure to extended duration work shifts. Sleep 35, 1137–1146. doi: 10.5665/sleep.2004

Crossref Full Text | Google Scholar

Ansiau, D., Wild, P., Niezborala, M., Rouch, I., and Marquié, J. C. (2008). Effects of working conditions and sleep of the previous day on cognitive performance. Appl. Ergon. 39, 99–106. doi: 10.1016/j.apergo.2007.01.004

Crossref Full Text | Google Scholar

Athar, M. E., Atef-Vahid, M.-K., and Ashouri, A. (2020). The influence of shift work on the quality of sleep and executive functions. J. Circadian Rhythms 18, 1–8. doi: 10.5334/jcr.194

Crossref Full Text | Google Scholar

Baker, R., Coenen, P., Howie, E., Lee, J., Williamson, A., and Straker, L. (2018a). A detailed description of the short-term musculoskeletal and cognitive effects of prolonged standing for office computer work. Ergonomics 61, 877–890. doi: 10.1080/00140139.2017.1420825

Crossref Full Text | Google Scholar

Baker, R., Coenen, P., Howie, E., Lee, J., Williamson, A., and Straker, L. (2018b). Musculoskeletal and cognitive effects of a movement intervention during prolonged standing for office work. Hum. Factors 60, 947–961. doi: 10.1177/0018720818783945

Crossref Full Text | Google Scholar

Baker, R., Coenen, P., Howie, E., Williamson, A., and Straker, L. (2018c). The short term musculoskeletal and cognitive effects of prolonged sitting during office computer work. Int. J. Environ. Res. Public Health 15:15. doi: 10.3390/ijerph15081678

Crossref Full Text | Google Scholar

Bakker, A. B., and Demerouti, E. (2014). “Job demands–resources theory” in Wellbeing: A complete reference guide. eds. P. Y. Chen and C. L. Cooper (New York: John Wiley & Sons), 1–28.

Google Scholar

Belin, A., Dixon, K., Davis, A., Graveling, R., Dupont, C., Crawford, J., et al. (2016). The ageing workforce: implications for occupational safety and health: a research review. Luxembourg: Publication Office of the European Union.

Google Scholar

Benítez-Provedo, C., Talavera, B., García-Azorín, D., and Marcos-Dolado, A. (2022). The cognitive impact of guard shifts in physicians: a before-after study. Neurol. Sci. 43, 1701–1708. doi: 10.1007/s10072-021-05501-x

Crossref Full Text | Google Scholar

Bojsen-Møller, E., Boraxbekk, C.-J., Ekblom, Ö., Blom, V., and Ekblom, M. M. (2019). Relationships between physical activity, sedentary behaviour and cognitive functions in office workers. Int. J. Environ. Res. Public Health 16:4721. doi: 10.3390/ijerph16234721

PubMed Abstract | Crossref Full Text | Google Scholar

Bonzini, M., Comotti, A., Fattori, A., Serra, D., Laurino, M., Mastorci, F., et al. (2023). Promoting health and productivity among ageing workers: a longitudinal study on work ability, biological and cognitive age in modern workplaces (PROAGEING study). BMC Public Health 23:1115. doi: 10.1186/s12889-023-16010-1

PubMed Abstract | Crossref Full Text | Google Scholar

Brownlow, J. A., Miller, K. E., and Gehrman, P. R. (2020). Insomnia and cognitive performance. Sleep Med. Clin. 15, 71–76. doi: 10.1016/j.jsmc.2019.10.002

PubMed Abstract | Crossref Full Text | Google Scholar

Bufano, P., Albertini, N., Chiarelli, S., Barone, V., Valleggi, M., Parrini, G., et al. (2023). Weakened sustained attention and increased cognitive effort after Total sleep deprivation: a virtual reality ecological study. Int. J. Hum. Comput. Interact. 39, 3546–3555. doi: 10.1080/10447318.2022.2099047

Crossref Full Text | Google Scholar

Cano-López, I., Pérez, M. I., and Puig-Pérez, S. (2023). Burnout is related to executive dysfunction in primary healthcare professionals working in rural areas. Rev. Neurol. 76, 91–99. doi: 10.33588/rn.7603.2022283

PubMed Abstract | Crossref Full Text | Google Scholar

Chang, Y.-S., Chen, H.-L., Hsu, C.-Y., Su, S.-F., Liu, C.-K., and Hsu, C. (2013a). Nurses working on fast rotating shifts overestimate cognitive function and the capacity of maintaining wakefulness during the daytime after a rotating shift. Sleep Med. 14, 605–613. doi: 10.1016/j.sleep.2013.03.011

Crossref Full Text | Google Scholar

Chang, Y. S., Wu, Y. H., Hsu, C. Y., Tang, S. H., Yang, L. L., and Su, S. F. (2011). Impairment of perceptual and motor abilities at the end of a night shift is greater in nurses working fast rotating shifts. Sleep Med. 12, 866–869. doi: 10.1016/j.sleep.2011.03.018

Crossref Full Text | Google Scholar

Chang, Y.-S., Wu, Y.-H., Su, S.-F., Hsu, C.-Y., and Chen, H.-L. (2013b). Factors related with the ability to maintain wakefulness in the daytime after fast and forward rotating shifts. Kaohsiung J. Med. Sci. 29, 611–616. doi: 10.1016/j.kjms.2013.01.012

Crossref Full Text | Google Scholar

Chen, R., Williams, D. R., Nishimi, K., Slopen, N., Kubzansky, L. D., and Weuve, J. (2022). A life course approach to understanding stress exposures and cognitive function among middle-aged and older adults. Soc. Sci. Med. 314, 314:115448. doi: 10.1016/j.socscimed.2022.115448

PubMed Abstract | Crossref Full Text | Google Scholar

Cohen, R. A., Marsiske, M. M., and Smith, G. E. (2019). Neuropsychology of aging. Handb. Clin. Neurol. 167, 149–180. doi: 10.1016/B978-0-12-804766-8.00010-8

Crossref Full Text | Google Scholar

Colonia-Willner, R. (1998). Practical intelligence at work: relationship between aging and cognitive efficiency among managers in a bank environment. Psychol. Aging 13, 45–57. doi: 10.1037/0882-7974.13.1.45

Crossref Full Text | Google Scholar

de Souza-Talarico, J. N., Suemoto, C. K., Santos, I. S., Griep, R. H., Yamaguti, S. T. F., Lotufo, P. A., et al. (2020). Work-related stress and cognitive performance among middle-aged adults: the Brazilian longitudinal study of adult health (ELSA-Brasil). Stress. Health 36, 19–30. doi: 10.1002/smi.2906

Crossref Full Text | Google Scholar

Deary, I. J., and Tait, R. (1987). Effects of sleep disruption on cognitive performance and mood in medical house officers. Br. Med. J. (Clin. Res. Ed.) 295, 1513–1516. doi: 10.1136/bmj.295.6612.1513

Crossref Full Text | Google Scholar

Downes, M. J., Brennan, M. L., Williams, H. C., and Dean, R. S. (2016). Development of a critical appraisal tool to assess the quality of cross-sectional studies (AXIS). BMJ Open 6:e011458. doi: 10.1136/bmjopen-2016-011458

PubMed Abstract | Crossref Full Text | Google Scholar

Elagizi, A., Kachur, S., Carbone, S., Lavie, C. J., and Blair, S. N. (2020). A review of obesity, physical activity, and cardiovascular disease. Curr. Obes. Rep. 9, 571–581. doi: 10.1007/s13679-020-00403-z

Crossref Full Text | Google Scholar

Elovainio, M., Feme, J. E., Singh-Manoux, A., Gimeno, D., De Vogli, R., Shipley, M. J., et al. (2009). Cumulative exposure to high-strain and active jobs as predictors of cognitive function: the Whitehall II study. Occup. Environ. Med. 66, 32–37. doi: 10.1136/oem.2008.039305

Crossref Full Text | Google Scholar

Eskildsen, A., Andersen, L. P., Pedersen, A. D., Vandborg, S. K., and Andersen, J. H. (2015). Work-related stress is associated with impaired neuropsychological test performance: a clinical cross-sectional study. Stress 18, 198–207. doi: 10.3109/10253890.2015.1004629

Crossref Full Text | Google Scholar

Esmaily, A., Jambarsang, S., Mohammadian, F., and Mehrparvar, A. H. (2022). Effect of shift work on working memory, attention and response time in nurses. Int. J. Occup. Saf. Ergon. 28, 1085–1090. doi: 10.1080/10803548.2020.1863656

Crossref Full Text | Google Scholar

Falck, R. S., Davis, J. C., and Liu-Ambrose, T. (2017). What is the association between sedentary behaviour and cognitive function? A systematic review. Br. J. Sports Med. 51, 800–811. doi: 10.1136/bjsports-2015-095551

Crossref Full Text | Google Scholar

Farahat, S. A., Amin, O. R., Hamdy, H. S., and Fouad, M. M. (2022). The impact of work-related stress on the cognition domain of executive functioning of health care workers during the COVID-19 pandemic. Int. Arch. Occup. Environ. Health 95, 1079–1090. doi: 10.1007/s00420-021-01814-8

Crossref Full Text | Google Scholar

Fisher, G. G., Chaffee, D. S., Tetrick, L. E., Davalos, D. B., and Potter, G. G. (2017). Cognitive functioning, aging, and work: a review and recommendations for research and practice. J. Occup. Health Psychol. 22, 314–336. doi: 10.1037/ocp0000086

PubMed Abstract | Crossref Full Text | Google Scholar

Fratiglioni, L., and Wang, H.-X. (2007). Brain reserve hypothesis in dementia. J. Alzheimer’s Dis. 12, 11–22. doi: 10.3233/jad-2007-12103

Crossref Full Text | Google Scholar

Gafarov, V. V., Sukhanov, A. V., Gromova, E. A., Panov, D. O., Denisova, D. V., Gagulin, I. V., et al. (2021). Workplace stress and cognitive functions (a population based study of adults aged 25-44 years). Nevrol. Neiropsikhiatr. Psikhosomatika 13, 30–36. doi: 10.14412/2074-2711-2021-4-30-36

Crossref Full Text | Google Scholar

Gafni, T., Shuval, K., Weinstein, G., Barlow, C. E., Gabriel, K. P., Willis, B. L., et al. (2021). Sitting time, physical activity, and cognitive impairment in midlife and older adults. J. Aging Phys. Act. 30, 355–363. doi: 10.1123/japa.2020-0473

PubMed Abstract | Crossref Full Text | Google Scholar

Garde, A. H., Begtrup, L., Bjorvatn, B., Bonde, J. P., Hansen, J., Hansen, Å. M., et al. (2020). How to schedule night shift work in order to reduce health and safety risks. Scand. J. Work Environ. Health 46, 557–569. doi: 10.5271/sjweh.3920

PubMed Abstract | Crossref Full Text | Google Scholar

Golonka, K., Mojsa-Kaja, J., Blukacz, M., Gawłowska, M., and Marek, T. (2019). Occupational burnout and its overlapping effect with depression and anxiety. Int. J. Occup. Med. Environ. Health 32, 229–244. doi: 10.13075/ijomeh.1896.01323

PubMed Abstract | Crossref Full Text | Google Scholar

Griffiths, J. D., McCutcheon, C., Silbert, B. S., and Maruff, P. (2006). A prospective observational study of the effect of night duty on the cognitive function of anaesthetic registrars. Anaesth. Intensive Care 34, 621–628. doi: 10.1177/0310057x0603400512

Crossref Full Text | Google Scholar

Gutshall, C. L., Hampton, D. P. Jr., Sebetan, I. M., Stein, P. C., and Broxtermann, T. J. (2017). The effects of occupational stress on cognitive performance in police officers. Police Pract. Res. 18, 463–477. doi: 10.1080/15614263.2017.1288120

Crossref Full Text | Google Scholar

Haidarimoghadam, R., Kazemi, R., Motamedzadeh, M., Golmohamadi, R., Soltanian, A., and Zoghipaydar, M. R. (2017). The effects of consecutive night shifts and shift length on cognitive performance and sleepiness: a field study. Int. J. Occup. Saf. Ergon. 23, 251–258. doi: 10.1080/10803548.2016.1244422

Crossref Full Text | Google Scholar

Hultsch, D. F., Hammer, M., and Small, B. J. (1993). Age differences in cognitive performance in later life: relationships to self-reported health and activity life style. J. Gerontol. 48, P1–P11. doi: 10.1093/geronj/48.1.p1

PubMed Abstract | Crossref Full Text | Google Scholar

Hultsch, D. F., Hertzog, C., Small, B. J., and Dixon, R. A. (1999). Use it or lose it: engaged lifestyle as a buffer of cognitive decline in aging? Psychol. Aging 14, 245–263. doi: 10.1037/0882-7974.14.2.245

PubMed Abstract | Crossref Full Text | Google Scholar

Ihle, A., Oris, M., Fagot, D., Baeriswyl, M., Guichard, E., and Kliegel, M. (2015). The Association of Leisure Activities in middle adulthood with cognitive performance in old age: the moderating role of educational level. Gerontology 61, 543–550. doi: 10.1159/000381311

PubMed Abstract | Crossref Full Text | Google Scholar

James, L., Elkins-Brown, N., Wilson, M., James, S. M., Dotson, E., Edwards, C. D., et al. (2021). The effects of three consecutive 12-hour shifts on cognition, sleepiness, and domains of nursing performance in day and night shift nurses: a quasi-experimental study. Int. J. Nurs. Stud. 123:104041. doi: 10.1016/j.ijnurstu.2021.104041

Crossref Full Text | Google Scholar

John, D., Bassett, D., Thompson, D., Fairbrother, J., and Baldwin, D. (2009). Effect of using a treadmill workstation on performance of simulated office work tasks. J. Phys. Act. Health 6, 617–624. doi: 10.1123/jpah.6.5.617

PubMed Abstract | Crossref Full Text | Google Scholar

Joo, E. Y., Yoon, C. W., Koo, D. L., Kim, D., and Hong, S. B. (2012). Adverse effects of 24 hours of sleep deprivation on cognition and stress hormones. J. Clin. Neurol. 8, 146–150. doi: 10.3988/jcn.2012.8.2.146

Crossref Full Text | Google Scholar

Kantermann, T., Wehrens, S. M. T., Ulhôa, M. A., Moreno, C., and Skene, D. J. (2012). Noisy and individual, but doable: shift-work research in humans. Prog. Brain Res. 199, 399–411. doi: 10.1016/B978-0-444-59427-3.00022-8

Crossref Full Text | Google Scholar

Kazemi, R., Haidarimoghadam, R., Motamedzadeh, M., Golmohamadi, R., Soltanian, A., and Zoghipaydar, M. R. (2016). Effects of shift work on cognitive performance, sleep quality, and sleepiness among petrochemical control room operators. J. Circadian Rhythms 14, 1–8. doi: 10.5334/jcr.134

Crossref Full Text | Google Scholar

Kazemi, R., Motamedzade, M., Golmohammadi, R., Mokarami, H., Hemmatjo, R., and Heidarimoghadam, R. (2018). Field study of effects of night shifts on cognitive performance, salivary melatonin, and sleep. Saf. Health Work 9, 203–209. doi: 10.1016/j.shaw.2017.07.007

Crossref Full Text | Google Scholar

Kim, S., Park, Y., and Niu, Q. (2017). Micro-break activities at work to recover from daily work demands. J. Organ. Behav. 38, 28–44. doi: 10.1002/job.2109

Crossref Full Text | Google Scholar

Landolt, K., Maruff, P., Horan, B., Kingsley, M., Kinsella, G., O’Halloran, P. D., et al. (2017). Chronic work stress and decreased vagal tone impairs decision making and reaction time in jockeys. Psychoneuroendocrinology 84, 151–158. doi: 10.1016/j.psyneuen.2017.07.238

Crossref Full Text | Google Scholar

Leso, V., Fontana, L., Caturano, A., Vetrani, I., Fedele, M., and Iavicoli, I. (2021). Impact of shift work and long working hours on worker cognitive functions: current evidence and future research needs. Int. J. Environ. Res. Public Health 18:6540. doi: 10.3390/ijerph18126540

PubMed Abstract | Crossref Full Text | Google Scholar

Lingenfelser, T., Kaschel, R., Weber, A., Zaiser-Kaschel, H., Jakober, B., and Küper, J. (1994). Young hospital doctors after night duty: their task-specific cognitive status and emotional condition. Med. Educ. 28, 566–572. doi: 10.1111/j.1365-2923.1994.tb02737.x

Crossref Full Text | Google Scholar

Lupien, S. J., McEwen, B. S., Gunnar, M. R., and Heim, C. (2009). Effects of stress throughout the lifespan on the brain, behaviour and cognition. Nat. Rev. Neurosci. 10, 434–445. doi: 10.1038/nrn2639

Crossref Full Text | Google Scholar

Ma, Y., Liang, L., Zheng, F., Shi, L., Zhong, B., and Xie, W. (2020). Association between sleep duration and cognitive decline. JAMA Netw. Open 3:e2013573. doi: 10.1001/jamanetworkopen.2020.13573

PubMed Abstract | Crossref Full Text | Google Scholar

Magnon, V., Vallet, G. T., and Auxiette, C. (2018). Sedentary behavior at work and cognitive functioning: a systematic review. Front. Public Health 6:239. doi: 10.3389/fpubh.2018.00239

PubMed Abstract | Crossref Full Text | Google Scholar

Maltese, F., Adda, M., Bablon, A., Hraeich, S., Guervilly, C., Lehingue, S., et al. (2016). Night shift decreases cognitive performance of ICU physicians. Intensive Care Med. 42, 393–400. doi: 10.1007/s00134-015-4115-4

PubMed Abstract | Crossref Full Text | Google Scholar

Marconcin, P., Zymbal, V., Gouveia, É. R., Jones, B., Marques, A., Marconcin, P., et al. (2021). “Sedentary behaviour: definition, determinants, impacts on health, and current recommendations” in Sedentary behaviour—a contemporary view. eds. A. Marques and É. R. Gouveia (London: IntechOpen).

Google Scholar

McEwen, B. S., and Sapolsky, R. M. (1995). Stress and cognitive function. Curr. Opin. Neurobiol. 5, 205–216. doi: 10.1016/0959-4388(95)80028-x

Crossref Full Text | Google Scholar

Moher, D., Liberati, A., Tetzlaff, J., and Altman, D. G.PRISMA Group (2009). Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. PLoS Med. 6:e1000097. doi: 10.1371/journal.pmed.1000097

PubMed Abstract | Crossref Full Text | Google Scholar

Mortimer, J. A., and Graves, A. B. (1993). Education and other socioeconomic determinants of dementia and Alzheimer’s disease. Neurology 43, S39–S44,

Google Scholar

Nguyen, H. T., Quandt, S. A., Grzywacz, J. G., Chen, H., Galván, L., Kitner-Triolo, M. H., et al. (2012). Stress and cognitive function in Latino farmworkers. Am. J. Ind. Med. 55, 707–713. doi: 10.1002/ajim.22035

Crossref Full Text | Google Scholar

Nilsson, J. P., Söderström, M., Karlsson, A. U., Lekander, M., Akerstedt, T., Lindroth, N. E., et al. (2005). Less effective executive functioning after one night’s sleep deprivation. J. Sleep Res. 14, 1–6. doi: 10.1111/j.1365-2869.2005.00442.x

PubMed Abstract | Crossref Full Text | Google Scholar

Niu, S.-F., Chu, H., Chen, C.-H., Chung, M.-H., Chang, Y.-S., Liao, Y.-M., et al. (2013). A comparison of the effects of fixed-and rotating-shift schedules on nursing staff attention levels: a randomized trial. Biol. Res. Nurs. 15, 443–450. doi: 10.1177/1099800412445907

Crossref Full Text | Google Scholar

Ohlinger, C. M., Horn, T. S., Berg, W. P., and Cox, R. H. (2011). The effect of active workstation use on measures of cognition, attention, and motor skill. J. Phys. Act. Health 8, 119–125. doi: 10.1123/jpah.8.1.119

PubMed Abstract | Crossref Full Text | Google Scholar

Orton, D. I., and Gruzelier, J. H. (1989). Adverse changes in mood and cognitive performance of house officers after night duty. Br. Med. J. 298, 21–23. doi: 10.1136/bmj.298.6665.21

Crossref Full Text | Google Scholar

Ovaskainen, H., and Heikkilä, M. (2007). Visuospatial cognitive abilities in cut-to-length single-grip timber harvester work. Int. J. Ind. Ergon. 37, 771–780. doi: 10.1016/j.ergon.2007.06.004

Crossref Full Text | Google Scholar

Özdemir, P. G., Selvi, Y., Özkol, H., Aydin, A., Tülüce, Y., Boysan, M., et al. (2013). The influence of shift work on cognitive functions and oxidative stress. Psychiatry Res. 210, 1219–1225. doi: 10.1016/j.psychres.2013.09.022

Crossref Full Text | Google Scholar

Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., et al. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ 372:n71. doi: 10.1136/bmj.n71

PubMed Abstract | Crossref Full Text | Google Scholar

Park, J. H., Moon, J. H., Kim, H. J., Kong, M. H., and Oh, Y. H. (2020). Sedentary lifestyle: overview of updated evidence of potential health risks. Korean J. Fam. Med. 41, 365–373. doi: 10.4082/kjfm.20.0165

PubMed Abstract | Crossref Full Text | Google Scholar

Peng, J., Lu, H., Zhang, J., Shao, Y., Wang, L., and Lv, J. (2022). Need for cognition moderates the impairment of decision making caused by nightshift work in nurses. Sci. Rep. 12:1756. doi: 10.1038/s41598-022-05843-2

Crossref Full Text | Google Scholar

Persico, N., Maltese, F., Ferrigno, C., Bablon, A., Marmillot, C., Papazian, L., et al. (2018). Influence of shift duration on cognitive performance of emergency physicians: a prospective cross-sectional study. Ann. Emerg. Med. 72, 171–180. doi: 10.1016/j.annemergmed.2017.10.005

Crossref Full Text | Google Scholar

Petru, R., Wittmann, M., Nowak, D., Birkholz, B., and Angerer, P. (2005). Effects of working permanent night shifts and two shifts on cognitive and psychomotor performance. Int. Arch. Occup. Environ. Health 78, 109–116. doi: 10.1007/s00420-004-0585-3

Crossref Full Text | Google Scholar

Picano, E., Bruno, R. M., Ferrari, G. F., and Bonuccelli, U. (2014). Cognitive impairment and cardiovascular disease: so near, so far. Int. J. Cardiol. 175, 21–29. doi: 10.1016/j.ijcard.2014.05.004

PubMed Abstract | Crossref Full Text | Google Scholar

Prasad, R. V., Gupta, S. L., and Swaminathan, S. (2021). Evaluation of cognitive and psychomotor functional changes in anesthesiology residents after 12 hours of continuous work in operation theater: an observational study. Anesth. Essays Res. 15, 362–367. doi: 10.4103/aer.aer_153_21

PubMed Abstract | Crossref Full Text | Google Scholar

Proctor, S. P., White, R. F., Robins, T. G., Echeverria, D., and Rocskay, A. Z. (1996). Effect of overtime work on cognitive function in automotive workers. Scand. J. Work Environ. Health 22, 124–132. doi: 10.5271/sjweh.120

Crossref Full Text | Google Scholar

Rinsky-Halivni, L., Hovav, B., Christiani, D. C., and Brammli-Greenberg, S. (2022). Aging workforce with reduced work capacity: from organizational challenges to successful accommodations sustaining productivity and well-being. Soc. Sci. Med. 312:115369. doi: 10.1016/j.socscimed.2022.115369

PubMed Abstract | Crossref Full Text | Google Scholar

Rouch, I., Wild, P., Ansiau, D., and Marquie, J.-C. (2005). Shiftwork experience, age and cognitive performance. Ergonomics 48, 1282–1293. doi: 10.1080/00140130500241670

Crossref Full Text | Google Scholar

Russell, B. A., Summers, M. J., Tranent, P. J., Palmer, M. A., Cooley, P. D., and Pedersen, S. J. (2016). A randomised control trial of the cognitive effects of working in a seated as opposed to a standing position in office workers. Ergonomics 59, 737–744. doi: 10.1080/00140139.2015.1094579

PubMed Abstract | Crossref Full Text | Google Scholar

Salazar-Xirinachs, J. M. (2012). Promoting longer life and ensuring work ability. ILO – International Labour Organization. Available at: https://www.ilo.org/employment/about/executive-director-office/statements-speeches-old/WCMS_190915/lang--en/index.htm

Google Scholar

Salthouse, T. A. (2006). Mental exercise and mental aging: evaluating the validity of the “use it or lose it” hypothesis. Perspect. Psychol. Sci. 1, 68–87. doi: 10.1111/j.1745-6916.2006.00005.x

PubMed Abstract | Crossref Full Text | Google Scholar

Salthouse, T. A. (2016). Theoretical perspectives on cognitive aging. London: Psychology Press.

Google Scholar

Saricaoğlu, F., Akinci, S. B., Gözaçan, A., Güner, B., Rezaki, M., and Aypar, U. (2005). The effect of day and night shift working on the attention and anxiety levels of anesthesia residents. Turk. Psikiyatri. Derg. 16, 106–112.

Google Scholar

Schettini, M. A. S., Passos, R. F. D. N., and Koike, B. D. V. (2023). Shift work and metabolic syndrome updates: a systematic review. Sleep Sci. 16, 237–247. doi: 10.1055/s-0043-1770798

PubMed Abstract | Crossref Full Text | Google Scholar

Schooler, C. (1984). Psychological effects of complex environments during the life span: a review and theory. Intelligence 8, 259–281. doi: 10.1016/0160-2896(84)90011-4

Crossref Full Text | Google Scholar

Schooler, C. (1990). “Twenty one—psychosocial factors and effective cognitive functioning in adulthood” in Handbook of the psychology of aging. eds. J. E. Birren and K. W. Schaie. Third ed (Cambridge, MA: Academic Press), 347–358.

Google Scholar

Schooler, C., and Mulatu, M. S. (2001). The reciprocal effects of leisure time activities and intellectual functioning in older people: a longitudinal analysis. Psychol. Aging 16, 466–482. doi: 10.1037//0882-7974.16.3.466

PubMed Abstract | Crossref Full Text | Google Scholar

Schooler, C., Mulatu, M. S., and Oates, G. (1999). The continuing effects of substantively complex work on the intellectual functioning of older workers. Psychol. Aging 14, 483–506. doi: 10.1037//0882-7974.14.3.483

PubMed Abstract | Crossref Full Text | Google Scholar

Schumann, F., Steinborn, M. B., Kürten, J., Cao, L., Händel, B. F., and Huestegge, L. (2022). Restoration of attention by rest in a multitasking world: theory, methodology, and empirical evidence. Front. Psychol. 13:867978. doi: 10.3389/fpsyg.2022.867978

PubMed Abstract | Crossref Full Text | Google Scholar

Shwetha, B., and Sudhakar, H. (2012). Influence of shift work on cognitive performance in male business process outsourcing employees. Indian J. Occup. Environ. Med. 16, 114–118. doi: 10.4103/0019-5278.111751

Crossref Full Text | Google Scholar

Shwetha, B. L., and Sudhakar, H. H. (2014). Learning, memory & executive function in female BPO employees exposed to regular shifts. Natl. J. Physiol. Pharm. Pharmacol. 4, 20–24. doi: 10.5455/njppp.2014.4.140620133

Crossref Full Text | Google Scholar

Smith, L., Spelten, E., and Folkard, S. (1995). Shiftwork effects in nuclear power workers: a field study using portable computers. Work Stress 9, 235–244. doi: 10.1080/02678379508256559

Crossref Full Text | Google Scholar

Soares, C. S., and de Almondes, K. M. (2017). Sleep quality and visuospatial performance in rotating shifts workers from a petrochemical company. Biol. Rhythm. Res. 48, 403–415. doi: 10.1080/09291016.2016.1263025

Crossref Full Text | Google Scholar

Stern, Y. (2002). What is cognitive reserve? Theory and research application of the reserve concept. J. Int. Neuropsychol. Soc. 8, 448–460. doi: 10.1017/S1355617702813248

PubMed Abstract | Crossref Full Text | Google Scholar

Stern, Y., Alexander, G. E., Prohovnik, I., Stricks, L., Link, B., Lennon, M. C., et al. (1995). Relationship between lifetime occupation and parietal flow: implications for a reserve against Alzheimer’s disease pathology. Neurology 45, 55–60. doi: 10.1212/wnl.45.1.55

PubMed Abstract | Crossref Full Text | Google Scholar

Stout, J. W., Beidel, D. C., Brush, D., and Bowers, C. (2021). Sleep disturbance and cognitive functioning among firefighters. J. Health Psychol. 26, 2248–2259. doi: 10.1177/1359105320909861

PubMed Abstract | Crossref Full Text | Google Scholar

Sun, J., Stewart, P., Chiew, A., Becker, T., Siu, W., Varndell, W., et al. (2021). Association between shift work and cognitive performance on the trail making test in emergency department health officers. Emerg. Med. Australas. 33, 711–717. doi: 10.1111/1742-6723.13753

Crossref Full Text | Google Scholar

Taylor, Y., Merat, N., and Jamson, S. (2019). The effects of fatigue on cognitive performance in police officers and staff during a forward rotating shift pattern. Saf. Health Work 10, 67–74. doi: 10.1016/j.shaw.2018.08.003

Crossref Full Text | Google Scholar

Titova, O. E., Lindberg, E., Elmståhl, S., Lind, L., Schiöth, H. B., and Benedict, C. (2016). Association between shift work history and performance on the trail making test in middle-aged and elderly humans: the EpiHealth study. Neurobiol. Aging 45, 23–29. doi: 10.1016/j.neurobiolaging.2016.05.007

Crossref Full Text | Google Scholar

Vajravelu, H. R., Krishnan, P., Ayyavoo, S., and Narayanan, K. (2016). Evaluation of cognition using neurophysiological and neuropsychological tests in rotating night shift workers: a pilot study. Natl. J. Physiol. Pharm. Pharmacol. 6, 146–149. doi: 10.5455/njppp.2016.6.01122015100

Crossref Full Text | Google Scholar

Van Der Linden, D., Keijsers, G. P. J., Eling, P., and Van Schaijk, R. (2005). Work stress and attentional difficulties: An initial study on burnout and cognitive failures. Work Stress 19, 23–36. doi: 10.1080/02678370500065275

Crossref Full Text | Google Scholar

Veddeng, A., Husby, T., Engelsen, I. B., Kent, A., and Flaatten, H. (2014). Impact of night shifts on laparoscopic skills and cognitive function among gynecologists. Acta Obstet. Gynecol. Scand. 93, 1255–1261. doi: 10.1111/aogs.12496

Crossref Full Text | Google Scholar

Vendramin, P., Valenduc, G., Molinié, A.-F., Volkoff, S., Ajzen, M., and Leonard, E. (2012). Sustainable work and the ageing workforce. Eur. Secur. Available at: https://www.eurofound.europa.eu/publications/report/2012/working-conditions-social-policies/sustainable-work-and-the-ageing-workforce

Google Scholar

Virtanen, M., Singh-Manoux, A., Ferrie, J. E., Gimeno, D., Marmot, M. G., Elovainio, M., et al. (2009). Long working hours and cognitive function: the Whitehall II study. Am. J. Epidemiol. 169, 596–605. doi: 10.1093/aje/kwn382

Crossref Full Text | Google Scholar

Vives, A., Gray, N., González, F., and Molina, A. (2018). Gender and ageing at work in Chile: employment, working conditions, work-life balance and health of men and women in an ageing workforce. Ann. Work Expo. Health 62, 475–489. doi: 10.1093/annweh/wxy021

PubMed Abstract | Crossref Full Text | Google Scholar

Vlasak, T., Dujlovic, T., and Barth, A. (2022). Neurocognitive impairment in night and shift workers: a meta-analysis of observational studies. Occup. Environ. Med. 79, 365–372. doi: 10.1136/oemed-2021-107847

PubMed Abstract | Crossref Full Text | Google Scholar

Vuori, M., Akila, R., Kalakoski, V., Pentti, J., Kivimäki, M., Vahtera, J., et al. (2014). Association between exposure to work stressors and cognitive performance. J. Occup. Environ. Med. 56, 354–360. doi: 10.1097/JOM.0000000000000129

Crossref Full Text | Google Scholar

Wagner-Hartl, V., Grossi, N. R., and Kallus, K. W. (2018). Impact of age and hearing impairment on work performance during long working hours. Int. J. Environ. Res. Public Health 15:98. doi: 10.3390/ijerph15010098

Crossref Full Text | Google Scholar

Wang, Z., Chen, W.-H., Li, S.-X., He, Z.-M., Zhu, W.-L., Ji, Y.-B., et al. (2021). Gut microbiota modulates the inflammatory response and cognitive impairment induced by sleep deprivation. Mol. Psychiatry 26, 6277–6292. doi: 10.1038/s41380-021-01113-1

PubMed Abstract | Crossref Full Text | Google Scholar

Williams, G. W., Shankar, B., Klier, E. M., Chuang, A. Z., El Marjiya-Villarreal, S., Nwokolo, O. O., et al. (2017). Sensorimotor and executive function slowing in anesthesiology residents after overnight shifts. J. Clin. Anesth. 40, 110–116. doi: 10.1016/j.jclinane.2017.04.002

Crossref Full Text | Google Scholar

Zhao, X.-C., Han, K.-Y., Gao, Y.-Y., Li, N., Wang, L., Yu, L.-L., et al. (2021). Effects of shift work on sleep and cognitive function among male miners. Psychiatry Res. 297:113716. doi: 10.1016/j.psychres.2021.113716

Crossref Full Text | Google Scholar

Zhuo, L.-B., Pei, J.-J., Yan, Z., Yao, W., Hao, C.-F., and Wang, H.-X. (2021). Working life job strain status and cognitive aging in Europe: a 12-year follow-up study: job strain and cognitive aging. J. Affect. Disord. 295, 1177–1183. doi: 10.1016/j.jad.2021.08.114

Crossref Full Text | Google Scholar