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REVIEW article

Front. Public Health, 02 August 2024
Sec. Children and Health

Can physical activity counteract the negative effects of sedentary behavior on the physical and mental health of children and adolescents? A narrative review

  • 1College of Physical Education, Southwest University, Research Centre for Exercise Detoxification, Chongqing, China
  • 2College of Liberal Studies (Sports Work Department), Chongqing Industry Polytechnic College, Chongqing, China

Background: The increase in sedentary behavior (SB) in children and adolescents is one of the major threats to global public health, and the relationship between physical activity (PA) and SB has always been a key topic.

Methods: The literature search was conducted through PubMed, Web of Science, CNKI, Wanfang, and Scopus, and 121 pieces of literature were included in this study after screening and evaluation.

Results: (1) SB caused by screen time such as mobile phones and TVs has varying degrees of negative impact on obesity, cardiovascular metabolism, skeletal muscle development, and cognitive, and psychological disorders in children and adolescents. (2) Regular physical activity could effectively prevent, offset, or improve the harm of SB to the physical and mental health of children and adolescents, mainly by reducing the incidence of obesity, and cardiovascular and metabolic risks, promoting skeletal muscle development, and improving cognitive function and mental health. (3) The mechanism of physical activity to prevent or ameliorate the harm of SB was relatively complex, mainly involving the inhibition or activation of neurobiomolecules, the improvement of blood and cell metabolic factors, and the enhancement of brain functional connectivity.

Conclusions: Children and adolescents should avoid excessive SB, and through a variety of moderate to vigorous physical activity (MVPA) to replace or intermittent SB, which could effectively prevent or improve the harm of SB to physical and mental health.

1 Introduction

It has been reported that children and adolescents around the world have a prevailing phenomenon of excessive sedentary behavior (SB), and it was believed to reduce the physical and mental health of children and adolescents and lead to the increase of social public health burden (1, 2). The Global Action Plan on Physical Activity (2018–2030) issued by the World Health Organization (WHO) for the first time included the reduction of SB as one of the global chronic disease prevention and control strategies in 2019 (3) and has successively published global guidelines on physical activity and SB for subgroups such as children, adolescents, adults, the older adult, pregnant women, and postpartum women, as well as patients with chronic diseases or disabilities (4).

The SB usually refers to any behavior in the waking state, which is characterized by energy consumption ≤ 1.5 metabolic equivalents in sitting, reclining, or lying posture (5), and it was an inactive life state throughout the whole day, with cumulative, intermittent, and long-term characteristics. The study has shown that those who achieve moderate to vigorous physical activity (MVPA) on a daily or weekly basis were still at risk for severe SB (6), meaning that “sedentary” was not equivalent to “physical inactivity or insufficient exercise.” The data showed that more than 80% of the world's children and adolescents were physically inactive and sedentary/screen time was on the rise (4, 7), indicating that the unhealthy lifestyle of “less physical activity—how much sedentary time” was increasingly common among children and adolescents. The harm of SB to the physical and mental health of children and adolescents was well-recognized, mainly involving obesity (8), cardiovascular and metabolic diseases (9), skeletal muscle development (10), cognitive function development (11), and mental health (12). Therefore, many international researchers have explored the issues related to SB and physical activity in children and adolescents from different perspectives, but there was a lack of systematic analysis of the associated effects and mechanisms among SB, physical activity (PA), and physical and mental health. Given this, the purpose of this review is to elaborate on the harm of SB to children and adolescents from the physiological and psychological aspects, reveal the effect and mechanism of PA on improving the negative influence of SB, provide a theoretical basis and reference for promoting the formation of healthy behaviors and healthy physical and mental development of children and adolescents.

2 Method

2.1 Literature search

The literature search was conducted simultaneously in PubMed, Web of Science, CNKI, Wanfang, and Scopus citation databases. The Boolean operators were used to retrieve keywords, and they mainly include (Physical activity OR sport OR exercise) AND (Sedentary behavior OR physical activity) AND (Adolescent) AND (children). The titles, abstracts, full texts, and references of the literature were reviewed step by step, and the literature meeting the criteria was screened and supplemented, and the retrieval period was from January 1, 2000, to October 28, 2022.

Inclusion criteria: (1) The samples were children and adolescents (3–18 years old); (2) Associated with physical activity; (3) The sample meets the standard definition of SB; (4) Research indicators involve physiological or psychological aspects. Exclusion criteria: (1) The sample exceeds the specified upper and lower age limits; (2) The empirical research literature did not use physical activity or physical exercise as intervention methods; (3) Non-English or Chinese literature.

2.2 Search procedure

The literature search was divided into three steps: (1) The total of 6,862 literatures was obtained in the preliminary search, and the remaining 4,218 literatures were eliminated after the literature with similar themes and non-journal papers. (2) After carefully reading the title, abstract, and keywords of this literature, the three researchers obtained a total of 468 literatures closely related to the topic of this study after screening and statistics in Excel software; (3) Judge whether the articles fit the research theme by reading the full text, mainly excluding the polysemy of the literature. Among them, the PEDro Scale was used to examine experimental studies (such as randomized controlled trial designs) and assess their quality, and a higher score indicates better research quality. Each literature was scored independently by two researchers, if the scoring items were inconsistent, a consensus was reached after discussion. A paper with a score of 5 or more points was considered to be of high quality, while a paper with a score of 4 or less was considered to be of low quality. The literature selection was carried out by two people in parallel, and the contradictions were resolved through discussion, and the evaluation of qualified full-text articles, 121 valid literatures were finally included in this study (Figure 1).

Figure 1
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Figure 1. Flow chart of literature retrieval.

3 Results

3.1 The relationship between SB and the health of children and adolescents

3.1.1 SB and obesity

SB is closely related to the occurrence of obesity in children and adolescents, and SB dominated by screen time is an important cause of overweight and obesity, eating behavior and physical activity may be the moderating variables between SB and obesity. Studies have shown that obesity among children and adolescents was on the rise (13), and inadequate physical activity and a sedentary lifestyle were behavioral factors contributing to the rising prevalence of obesity among adolescents (14). For example, sitting for more than 4 h a day increases the risk of being overweight and obese (15). Stone et al. (16) found that the sitting time of children was positively correlated with waist circumference and body mass index (BMI), showing that with every 1 h increase in SB, waist circumference will increase by 3.4 cm and BMI will increase by 1.4 kg/m2. Among them, SB caused by prolonged screen time appears to be a major contributor to obesity. Such as the study has shown that most Chinese children and adolescents spend more than 2 h a day watching videos (17), and SB caused by excessive screen time will increase the obesity rate (1). A survey of 2,200 Australian adolescents aged 9–16 found a strong correlation between screen time and obesity and overweight among adolescents, especially among boys (18). Meanwhile, overweight/obese children tend to have longer screen time, and there was a positive correlation between TV watching time and overweight/obesity (19). Excessive sitting time in children and adolescents will lead to obesity and poor metabolism (8), which was manifested as those children who watch TV for more than 5 h every day were 5.3 times more likely to develop obesity than children who watch TV for <2 h, and shortening TV watching time will help promote children's physical health (20). However, some studies suggested that there was little correlation between SB and obesity in children and adolescents (21), and the obesity effect of SB may be mediated by unhealthy eating behavior and low physical activity levels (22, 23).

3.1.2 SB and cardiovascular metabolism

SB is a potential cause for the development of cardiovascular and metabolic diseases at a younger age and is related to the decline of cardiovascular and metabolic levels such as inflammation, oxidative stress, and insulin secretion. In recent years, the occurrence of cardiovascular metabolic risk factors such as dyslipidemia and hypertension in children and adolescents has been on the rise (24, 25), and unhealthy lifestyle is strongly associated with chronic diseases such as hypertension and coronary heart disease (26). Studies have shown that SB is closely related to cardiovascular and metabolic diseases and their risk factors (27), the data measured by the accelerometer that people whose SB was frequently interrupted have better cardiovascular and metabolic status than those who sit for a long time (28). A study of 111 children ages 3–8 in the United States found that there was no significant correlation between children's activity and blood pressure when sedentary, but there was a significant correlation between the amount of time spent watching TV and the total screen time and the systolic and diastolic blood pressure of children (29). Meanwhile, the daily TV-watching time of adolescents was correlated with the increase in systolic blood pressure, showing a significant gender difference, and the correlation was stronger in boys (30). Further study indicated that there was a strong linear correlation between the total sedentary time and SB over 20 min and diastolic blood pressure (31), and obese children who sit and watch TV for 4 h or more per day have a 3.3 times higher risk of hypertension than children who sit and watch TV for <2 h per day (32). SB caused by watching TV for a long time or with high frequency was not only closely associated with a high-risk score of clustered cardiac metabolic diseases in children and adolescents (9, 33), but more seriously, spending more than 2 h a day on a digital screen was associated with a 5% increased risk of cardiovascular disease death in adulthood (34). The results suggested that there was a linear relationship between SB and cardiovascular disease in children and adolescents, and the time of SB more than 2 h per day was likely to increase the incidence of cardiovascular disease. The mechanism of action between sitting and cardiovascular disease can be explained as that sitting reduces the blood flow rate of the body, changes the glucose metabolism, inflammatory pathway, and oxidative stress pathway, and thus causes vascular dysfunction (35, 36). Meanwhile, SB was likely to cause pathological changes in the hemodynamic characteristics of healthy people, which were manifested as increased inflammatory response, decreased oxidation capacity of muscle mitochondria, fat oxidation, and storage capacity, resulting in decreased insulin sensitivity and insulin secretion (37), thus increasing the incidence of cardiovascular and metabolic diseases, such as diabetes and hypertension.

3.1.3 SB and skeletal muscle development

The SB tends to harm healthy skeletal muscle development and is considered an adverse factor that limits normal development such as muscle strength, bone mineral content (BMC), and bone mineral density (BMD). Children and adolescents were in an important period of growth and development, during which skeletal muscle development was crucial for their healthy growth and was also a key stage for improving or promoting BMC and BMD (38). Among them, muscle strength has a significant correlation with BMC and BMD (39), and muscle endurance can have a beneficial effect on the increase of bone mass or BMD through repeated impulse loads (40). Studies have shown that SB is prone to increase the muscle tension of the soft tissues around the joints of the human body slow down the local blood circulation increase joint pressure, and lead to many serious body posture deformation problems such as pelvic forward tilt, unbalanced muscle development, and shortening of the hip flexor muscle group of the lower extremity in sedentary people (41). Meanwhile, prolonged inactivity could disrupt the balance of bone resorption and bone formation, thus negatively affecting bone health (42), while inactivity or low activity levels could also increase gene expression in skeletal muscle (43, 44). SB was also associated with decreased muscle health (maximum strength, muscle strength, and local muscle endurance) (45). Grontved et al. (46) found that screen time was negatively correlated with an individual's isometric trunk muscle strength, so limiting screen time might be beneficial to improving or maintaining the isometric trunk muscle strength. Researchers have found that time previously spent on physical activity may be replaced by the time children spend on SB (such as watching television or playing computer games) which may adversely affect children's bone health (10) and that longer sedentary time was significantly associated with lower muscle strength in children (47). A cross-sectional study showed that BMC of the proximal femoral was inversely associated with adolescents' self-reported total screen time, but not computer time (48), and that total BMC of the body was significantly reduced when more than 3 h of TV viewing per day was observed (49). However, other studies have taken a different view, such as that there was no relationship between the total BMC of adolescent girls and TV watching time (50). There was no strong association between self-reported or objectively measured screen time and bone parameters such as skeleton structure, BMD, or strength in healthy adolescents, and the researchers suggested that differences in measurement location may be responsible for the differences in the effects of sedentary time on bone results (51).

3.1.4 SB and cognitive development

The cognitive function of children and adolescents was the most plastic (52), however, under the influence of certain unhealthy behaviors (such as SB), it may adversely affect the development of cognitive function (11, 53). Studies have shown that excessive sitting time in adolescents was not conducive to the development of executive functions such as emotional control and cognitive conversion (54), and SB formed by watching TV for a long time was negatively correlated with cognitive function (11). Compared with children who watch less TV, those who watch more TV have lower executive function (55). SB could negatively affect overall cognitive function throughout the life cycle, but it was not known exactly which components of cognitive function were involved (56). Coelho et al. (57) pointed out that individuals with less SB perform better on executive function and memory tasks than their sedentary peers. Meanwhile, the relationship between SB and cognitive function may vary according to different activities (such as screen time, reading, learning, and driving) that individuals engage in during sedentary conditions (57), suggesting that the relationship between SB and cognitive function is not simple or linear. Such as children and adolescents daily learning and attending classes belong to learning sedentary behavior (58), which was believed to promote the development of children's executive function (59), but there is currently no corresponding causal association mechanism. Among adults, SB based on computer or internet use was positively associated with improved cognitive function (11, 60). The result suggested that not all SB were associated with reduced cognitive function and were influenced by the individual's environment or social background (55), such as the effects on cognition were different when an individual was engaged in a passive sedentary activity (such as watching television) or a sedentary activity that stimulates cognition (such as using a computer or studying). On the one hand, the passive SB caused by screen time such as watching TV was more likely to inhibit the development of cognitive function in children and adolescents, which may be interpreted as the long-term SB damages the body's glucose and lipid metabolism (42), which was considered to be a risk factor for cognitive decline and all-cause dementia (61, 62). Meanwhile, with the increase in sitting time, the body will correspondingly show an increase in white matter volume, a decrease in brain-derived neurotrophic factor (BDNF) level, and abnormal cerebral blood flow, which will lead to a decline in cognitive function (53). On the other hand, the learning SB formed by learning, reading, or watching the computer could promote the cognitive ability of children and adolescents to some extent, which may be related to the rational allocation of cognitive resources such as attention regulation, cognitive conversion, and emotional control.

3.1.5 SB and mental health

As was known to all, children and adolescents are in an important period of sound personality and rapid psychological development, and once psychological problems occur, they will bring great mental pain to themselves and damage corresponding social functions (63). Studies have found that SB in children and adolescents was associated with poor internalization problems and prosocial behavior (64), and SB itself may harm the emotional state, thus impeding positive motivation (65). Meanwhile, excessive sitting time will affect the mental health of children and adolescents, leading to an increase in the incidence of depression, mood disorders, and other mental diseases, which is not conducive to the development of their emotional control function (54, 66), and long-term watching TV, using the computer, and playing video games was not conducive to the development of prosocial behaviors of children and adolescents (33, 67). The negative effects of SB on prosocial behavior increased with the increase in screen time when the focus was on TV and video games (68), and higher screen time (video games/TV watching) was significantly associated with lower self-esteem and bullying behavior among adolescents (69). A systematic review has also reported an association between screen time and mental health indicators in children and adolescents, including hyperactivity/inattention problems, internalization problems, and perceived quality of life (70), and SB caused by long-term screen time was positively correlated with depression and anxiety disorders (12, 71). Interestingly, a study has found that the time of watching TV was associated with higher depressive symptoms, while internet use and reading were associated with lower depressive symptoms (55), but corresponding research evidence was lacking in children and adolescents. In summary, SB is related to the mental health of children and adolescents, and whether this correlation is negative or positive is easily affected by factors such as the type of and the time of SB. For example, passive SB such as watching TV or playing games harms the mental health of children and adolescents, and appropriate use of the internet may be beneficial to promoting social interpersonal, relieving inner depressive mood, and enhancing the level of mental health (see Table 1 for some details).

Table 1
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Table 1. Effects of SB on the physical and mental health of children and adolescents.

3.2 PA could regulate the effects of SB on the physical and mental health

PA was considered to have regulatory benefits on the physical and mental health of children and adolescents to varying degrees, and severe SB not only reflects the interruption of the continuity of PA but also predicts higher health risks (28). The relationship between SB and physical activity has become a focus of public health researchers, and high levels of physical activity and low levels of SB were closely related to optimal physical and mental health (72). Among them, the iso-temporal substitution model (ISM) was generally considered to be able to better interpret the relationship between the two (7375). However, the replacement of SB by PA was mostly at the phenomenon level, and few studies focused on how PA regulates the influence of SB on the physical and mental health of children and adolescents, and there was a lack of systematic analysis of the relationship among PA, SB, and physical and mental health from the mechanism level (see Figure 2 for relevant details).

Figure 2
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Figure 2. Possible pathways by which physical activity mediates the SB in children and adolescents. “yes” indicates a potential path relationship between two words; “↑” indicates increase or promote; “↓” indicates inhibit or decrease.

3.2.1 The regulating effect of PA on the physiological function of SB

3.2.1.1 Reduce the incidence of obesity

Reviewing the above, SB dominated by screen time was likely to lead to overweight or obesity in children and adolescents, while appropriate physical activity could reduce the increase in childhood obesity rate (76), improve body composition, and reduce body fat content, to prevent the occurrence of overweight and obesity (77). So can the negative effects of SB on body fat be interrupted or offset by being physically active? Studies (78, 79) have shown that both low-intensity physical activity (LPA) and MVPA can effectively regulate the association between sedentary and obesity indicators in children and adolescents, and reduce the incidence of overweight or obesity. However, compared with LPA, MVPA may be more beneficial in reducing the incidence of obesity. The study has found that obesity in children and adolescents could be effectively controlled or alleviated when ISM was used to replace LPA and SB with MVPA equivalent time (10–60 min) (73). Meanwhile, replacing LPA, SB, and sleep with MVPA, as well as replacing sedentary behavior with LPA could reduce the risk of obesity, while replacing MVPA, LPA, and sleep with SB could increase the risk of obesity (74). So why does substituting PA for SB reduce the incidence of obesity? This may be related to the fact that physical activity reduces blood glucose concentration (BGC) and fat content, as well as increases fat oxidation. For example, Kim et al. (80) showed that during a 9 h sedentary period, intermittent LPA walking every 60 min (9 times, accumulated for 3.5 h) would significantly reduce the BGC of the next day after meals and decreased area increase under the curve (i AUC) in Triglyceride (TG) and increased fat oxidation. A similar effect was found in moderate PA, such as 30–60 min/time and 3–5 times per week, which was believed to reduce the total body fat and visceral fat content of children and adolescents (81) and promote the decomposition and reduction of fat mass, significantly increase the level of serum leptin and Adiponectin (ADP) (82), thus reducing the incidence of obesity after sitting for a long time. Moreover, the decrease in BGC and TG and the increase in fat oxidation were also thought to be related to it (80). PA also promotes the synthesis of Dopamine (DA) by upregulation of tyrosine hydroxylase (TH) in the midbrain-striatum system, regulates reward function by reducing the response of midbrain DA neurons to exogenous stimuli, improves adverse behavior, and increases PA levels to achieve the role of weight control (83).

3.2.1.2 Reduce cardiovascular and metabolic risk

A study from the United States found that there was no significant correlation between interrupted SB and cardiovascular risk factors (84), indicating that children and adolescents' cardiovascular and metabolic risks cannot be reduced simply through intermittent sedentary, and appropriate PA may be a more important way (85). Studies have shown that, given the non-linear dose-response relationship between sitting and cardiovascular diseases, it was necessary to avoid sitting while taking more PA per week than recommended by WHO, to reduce the health hazards of sitting to some extent (86), especially in children and adolescents (87, 88). LPA was a favorable factor for cardiometabolic biomarkers (33), and intermittent LPA could regulate the harm of prolonged sitting and thus enhance the cardiometabolic health of individuals (89). The cohort studies have found that the replacement of SB by LPA or MVPA reduces type 2 diabetes risk, cardiovascular mortality, and all-cause mortality (90). In the United States, MVPA was seen as an attractive non-pharmacological intervention strategy for the prevention and management of cardiovascular disease (91). Among people who were sedentary for more than 5 h per day, reassigning time from sedentary to PA of any intensity could reduce the incidence of cardiovascular disease, suggesting that different levels of physical activity were significantly associated with reduced risk of cardiovascular disease (92). Ekelund et al. (93) suggested that physical activity could alter the association between sitting and negative health outcomes and that higher levels of PA could reduce or eliminate the risk of cardiovascular disease induced by SB. The reason was that SB could reduce the activity of lipoprotein lipase (LPL) in slow muscle fibers, while exercise or PA could increase the activity of LPL in fast muscle fibers, and the lipoprotein metabolism was directly regulated by LPL, plays a central role in regional lipid deposition and plasma lipoprotein distribution, and was associated with the clinical prognosis of cardiovascular diseases and chronic metabolic diseases (85). PA could promote PGC-1 gene expression through AMPK, thus improving insulin resistance (94, 95), moreover, exercise could also reduce the inflammatory response, improve vascular endothelial and myocardial mitochondrial function, along with miRNA activation, improve energy utilization and cardiovascular metabolism (96).

3.2.1.3 Promote skeletal muscle development

Studies have suggested that PA may counteract the adverse effects of SB on bone health by improving the incidence of low BMC in children and adolescents associated with prolonged watching TV (49), and was significantly correlated with the increase in BMD (97). The increase in bone trabecula and bone strength in the distal femur was significantly related to PA, which maximizes muscle mass and bone strength and may counteract the development of osteoporosis and bone vulnerability in adulthood (98). This was because appropriate exercise or PA could improve the autophagy level of mitochondria, inhibit apoptosis or accidental death of skeletal muscle and cardiomyocyte (99, 100), and regulate fat, skeletal muscle, and soft tissue, thus exerting direct and indirect influences on skeletal muscle development (101). At present, the promoting effect of MVPA on skeletal muscle development seems to be recognized and supported by more scholars (102). An accelerometer-based study showed that MVPA reduced the adverse effects of children's SB and sedentary time on bone stiffness index (SI), and MVPA participation was more effective than LPA in increasing children's SI (103). Harvey et al. (104) found that 10 min of additional MVPA per day promoted a 1.4% increase in BMC in children, and increasing childhood PA levels and calcium intake may help optimize bone mass gain. Meanwhile, the osteogenic effect of VPA decreased with the decrease in activity intensity. Increasing VPA for 10 min a day could increase SI by nearly 2%, while the same MPA only increases SI by 1% (103). Studies have found that participation in VPA was more significantly correlated with bone strength indicators in children than LPA, MPA, or MVPA (97, 105), and VPA was believed to optimize bone development early in life, thereby preventing age-related bone loss and osteoporotic fractures (106). The result suggested that there was a dose effect between physical activity and skeletal muscle development, and the greater the activity, the better the improvement effect. Moreover, shorter negative heavy PA could enhance the bone mass, density, and structure of different bone parts in children and adolescents (107), which could offset the potential harm of sedentary time to bone health through a small amount of negative heavy PA (51).

3.2.2 Moderating effects of PA on mental cognition of SB

3.2.2.1 Improve cognitive function

Studies have shown that when individuals have a low level of PA, past SB has a negative predictive effect on cognitive inhibition, while PA may have a positive protective effect on cognitive impairment caused by SB (108). Compared with sedentary children, children with high levels of PA have better executive function development, which was attributed to the fact that physically active children were more able to control their activities and behaviors (109). Fairclough et al. (64) believed that reallocating more sedentary or LPA time to MVPA may be more beneficial to the improvement of executive function in children and adolescents. Similarly, reducing discretionary sedentary time to <2 h per day, coupled with ≥150 min of MVPA per week, maybe the best way to promote healthy cognition (56). This might be explained by PA through the optimization of the brain cell and molecular level, brain structure, and function of physiological mechanism, improved cell blood flow environment, promotion the glial cells regeneration, improved synaptic plasticity, and increased neurotransmitter levels, improved children's working memory, perception, movement coordination, and executive function (110). Ishihara et al. (111) also reported that a single 50-min tennis game class could significantly improve the executive function (total scores of inhibitory control, working memory, and cognitive flexibility) of children aged 6–12, and the effect was better than repetitive exercise. The results suggested that regular PA may at least mediate, if not eliminate, the potential negative relationship between SB and cognitive function in children and adolescents, and the moderating effects may depend to some extent on the intensity, time, and frequency of PA.

3.2.2.2 Improve mental health

A study of 2,464 students aged 12–15 in Norway indicated that reducing SB such as watching TV and engaging in more VPA was key to relieving stress in students' lives and preventing depression (112). Excessive screen time and insufficient PA will increase the incidence of various mental diseases in children and adolescents, and reducing screen time and increasing PA participation time were important ways to prevent depressive symptoms and related mental diseases (113, 114). When MVPA was used to replace LPA and SB for 10–60 min, the mental illness of children and adolescents could be effectively controlled or alleviated (115). Similarly, the use of MVPA, such as active recess and walking/running, to replace SB or LPA has also been found to benefit children's self-esteem, mood, and prosocial behavior to a greater extent (64). Meanwhile, PA intervention in the school environment has a significant positive impact on the improvement of children and adolescents' resilience, anxiety (116), and subjective wellbeing (117), which may be due to the combined effect of PA and sedentary discontinuity. The regulatory benefits of PA in mood may be related to the hippocampus and neurotransmitters because the hippocampus is the central brain region that regulates anxiety (118), and PA could effectively promote the growth of the hippocampus nerve (119). Animal experiments have shown that hippocampal BDNF mRNA level increases and anxious behavior in behavioral experiments was significantly reduced when mice ran wheel exercise (120), and regular PA could also increase the release of endorphin (NP), thereby reducing depression, anxiety, and other negative emotions (121). Therefore, PA may eventually moderate the negative effects of sitting on the mental health of children and adolescents by improving psychological indicators such as mental illness and negative emotions.

4 Discussions

In this literature review, we searched and identified 123 published academic papers that explored the relationship between SB, PA, and physical and mental health in children and adolescents based on the logic of the “phenomenal association mechanism.” Although some of the current research was controversial, overall, SB in children and adolescents was harmful to their physical and mental health, and the idea that PA could effectively regulate this harm was supported by the majority of research (51, 56, 103).

4.1 The harm of SB

It was well-known that sedentary behavior (energy expenditure ≤ 1.5 MEE) was detrimental to the physical health of individuals, especially for children and adolescents who were in the formative stages of growth and mental health. Through literature review, it was found that screen time was an important factor leading to SB in children and adolescents, and long-term passive SB (such as watching TV, and playing video games) was a risk factor for their obesity rate, the incidence of cardiovascular and metabolic diseases, and not only affect the development of skeletal muscle but also hinder the development of cognitive function and mental health. It was important to note that not all SB have negative effects on physical and mental health, and may vary depending on the type of activity an individual was engaged in during a sedentary period. For example, within a reasonable time range, learning-related SB could be beneficial to the development of cognitive function and mental health of children and adolescents to a certain extent (58, 59), including the rational allocation of cognitive resources such as attention regulation, cognitive transformation, and emotional control, but the corresponding mechanism still needs to be explored. Meanwhile, scientific questions such as whether there is a synergistic effect of SB on different health indicators, the dose-effect of sedentary time, and how to regulate the effects of SB on physical and mental health still need to be further explored.

4.2 The regulation of PA

PA has long been recognized as a green, environmentally friendly, and effective way to promote health, with unique value in preventing or improving chronic diseases. On this basis, this study found that the use of PA (especially MVPA) to replace SB was an important way to prevent or improve the physical and mental health diseases caused by excessive sedentary of children and adolescents. To a certain extent, physical activity can effectively interrupt, offset, and improve the harm of SB on the body shape, cardiovascular metabolism, and skeletal muscle development of children and adolescents, and play an important regulatory role in the relationship between SB and health. For example, PA after SB not only promotes the breakdown of fat mass, alleviates the imbalance of adipokines, and increases fat oxidation, but also improves the function of vascular endothelium and myocardial mitochondria, reduces inflammation, and accompanies miRNA activation, improves energy utilization and cardiovascular metabolism. Equally important, PA may ameliorate the risk of reduced BMC and increased BMD in children and adolescents due to SB, as well as promote healthy cognitive and psychological development by regulating brain neurotransmitters and functional connections. However, there was still a lack of direct evidence on whether the health promotion benefits of PA were caused by the increase in PA or the decrease in SB. Meanwhile, more empirical studies are needed to support the dose-effect and regulatory mechanism of PA on SB.

4.3 Limitation

This study systematically integrated and sorted out the studies related to SB and PA in children and adolescents, but the existing studies still cannot effectively solve many relevant hot issues. For example: (1) How to accurately define and distinguish the learning or passive SB of children and adolescents, as well as the best time for intermittent SB, and the future can further explore the positive or negative impact of different types of SB on individual physical and mental health, and reveal the causal mechanism. (2) This study did not consider the individual differences in the age and health status of children and adolescents in terms of SB and physical activity. Therefore, follow-up studies can deeply explore the physiological and psychological effects of SB on children and adolescents with different population differences, as well as the mechanism of action and dose-effect differences of physical activity amount to reduce the harm of SB. (3) Further research may also explore how to measure the fitness of SB and physical activity guidelines for children and adolescents with different demographic characteristics (such as age, sex, and physical fitness status). These key issues need to be enriched and improved by subsequent research. Moreover, due to the regional differences between children and adolescents in different countries, how to develop more scientific, special, and targeted physical activity guidelines needs to be further explored.

5 Conclusions

The long-term passive SB caused by screen time was likely to increase the rate of obesity and cardiovascular and metabolic diseases in children and adolescents and limit the development of skeletal muscle, cognitive function, and mental health shaping and development. Interestingly, regular PA could, to some extent, effectively prevent, offset, or ameliorate the harmful effects of SB on the physical and mental health of children and adolescents. It has the physiological benefits of reducing the incidence of obesity and cardiovascular and metabolic risk and promoting the development of skeletal muscle, as well as the psychological benefits of improving cognitive function and mental health. However, there was still little direct evidence on whether the health-promoting benefits were caused by increased PA or a decline in SB. It was worth noting that the related mechanisms of PA to improve the harm of SB were relatively complex, mainly involving the inhibition or activation of neuro biomolecules, improvement of blood and cell metabolic factors, and enhancement of brain functional connectivity. Children and adolescents should avoid excessive SB and substitute or interrupt SB with different forms of PA, which could effectively prevent or improve the harm of SB to physical and mental health. Among them, the recommended PA consists of two parts: daily PA (60 min or more, moderate to high intensity, daily frequency) and additional PA (high intensity and strong skeletal muscle activity 3 or more times per week).

Author contributions

KW: Conceptualization, Methodology, Writing – original draft. YL: Conceptualization, Resources, Writing – original draft. HL: Data curation, Validation, Writing – review & editing. TZ: Supervision, Writing – review & editing. JL: Project administration, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was supported by the Humanities and Social Sciences Fund of the Ministry of Education of China (Grant No. 20YJA890018).

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.

References

1. Tremblay MS, Leblanc AG, Kho ME, Saunders TJ, Larouche R, Colley RC, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth. Int J Behav Nutr Phys Act. (2011) 8:98. doi: 10.1186/1479-5868-8-98

PubMed Abstract | Crossref Full Text | Google Scholar

2. Yang J, Wu M, Qiu FB, Li AQ, Jiang JY, Zhu T. Research on health-related sedentary behaviors of children and adolescents aged twelve to 17. Chin J Rehabil Theory Practice. (2020) 26:1365–72. doi: 10.3969/j.issn.1006-9771.2020.12.001

Crossref Full Text | Google Scholar

3. World Health Organization. Global Action Plan on Physical Activity 2018–2030: More Active People for a Healthier World. (2018). Available online at: https://www.who.int/publications/i/item/9789241514187 (accessed December 18, 2022).

PubMed Abstract | Google Scholar

4. World Health Organization. WHO Guidelines on Physical Activity and Sedentary Behaviour. Geneva: World Health Organization (2020).

Google Scholar

5. Tremblay MS, Aubert S, Barnes JD, Saunders TJ, Carson V, Latimer-Cheung AE, et al. Sedentary behavior research network (SBRN)—terminology consensus project process and outcome. Int J Behav Nutr Phys Act. (2017) 14:75. doi: 10.1186/s12966-017-0525-8

PubMed Abstract | Crossref Full Text | Google Scholar

6. Guo Q, Wang XZ. Characteristic analysis and cognitive reconstruction of sedentary behavior: public health observation based on change in human behavior pattern. J Phys Educ. (2021) 28:137–44. doi: 10.16237/j.cnki.cn44-1404/g8.20210604.002

Crossref Full Text | Google Scholar

7. Liu Y, Tang Y, Cao ZB, Chen PJ, Zhang JL, Zhu Z, et al. Results from Shanghai's (China) 2016 Report Card on physical activity for children and youth. J Phys Act Health. (2016) 13(11Suppl.2):S124–28. doi: 10.1123/jpah.2016-0362

PubMed Abstract | Crossref Full Text | Google Scholar

8. Carson V, Tremblay MS, Chaput JP, Chastin SFM. Associations between sleep duration, sedentary time, physical activity, and health indicators among Canadian children and youth using compositional analyses. Appl Physiol Nutr Metab. (2016) 41(6Suppl.3):S294–302. doi: 10.1139/apnm-2016-0026

PubMed Abstract | Crossref Full Text | Google Scholar

9. Carson V, Hunter S, Kuzik N, Gray CE, Poitras VJ, Chaput JP, et al. Systematic review of sedentary behaviour and health indicators in school-aged children and youth: an update. Appl Physiol Nutr Metab. (2016) 41:S240–65. doi: 10.1139/apnm-2015-0630

PubMed Abstract | Crossref Full Text | Google Scholar

10. Heidemann M, Molgaard C, Husby S, Schou AJ, Klakk H, Møller NC, et al. The intensity of physical activity influences bone mineral accrual in childhood: the childhood health, activity and motor performance school (the CHAMPS) study. Denmark BMC Pediatr. (2013) 13:32. doi: 10.1186/1471-2431-13-32

PubMed Abstract | Crossref Full Text | Google Scholar

11. Bakrania K, Edwardson CL, Khunti K, Bandelow S, Davies MJ, Yates T. Associations between sedentary behaviors and cognitive function: cross-sectional and prospective findings from the UK biobank. Am J Epidemiol. (2018) 187:441–54. doi: 10.1093/aje/kwx273

PubMed Abstract | Crossref Full Text | Google Scholar

12. Costigan SA, Barnett L, Plotnikoff RC, Lubans DR. The health indicators associated with screen-based sedentary behavior among adolescent girls: a systematic review. J Adolesc Health. (2013) 52:382–92. doi: 10.1016/j.jadohealth.2012.07.018

PubMed Abstract | Crossref Full Text | Google Scholar

13. Ma GS. Report on Childhood Obesity in China. Geneva: People's Medical Publishing House (2017).

Google Scholar

14. Li Y, Yang X, Zhai F, Piao J, Zhao W, Zhang J, et al. Childhood obesity and its health consequence in China. Obes Rev. (2008) 9:82–6. doi: 10.1111/j.1467-789X.2007.00444.x

PubMed Abstract | Crossref Full Text | Google Scholar

15. Gomez-Cabello A, Pedrero-Chamizo R, Olivares PR, Hernandez-Perera R, Rodriguez-Marroyo JA, Mata E, et al. Sitting time increases the overweight and obesity risk independently of walking time in elderly people from Spain. Maturitas. (2012) 73:337–43. doi: 10.1016/j.maturitas.2012.09.001

PubMed Abstract | Crossref Full Text | Google Scholar

16. Stone MR, Faulkner GEJ. Outdoor play in children: associations with objectively-measured physical activity, sedentary behavior and weight status. Prev Med. (2014) 65:122–7. doi: 10.1016/j.ypmed.2014.05.008

PubMed Abstract | Crossref Full Text | Google Scholar

17. Cai Y, Zhu X, Wu X. Overweight, obesity, and screen-time viewing among Chinese school-aged children: national prevalence estimates from the 2016 physical activity and fitness in China: the youth study. J Sport Health Sci. (2017) 6:404–9. doi: 10.1016/j.jshs.2017.09.002

PubMed Abstract | Crossref Full Text | Google Scholar

18. Maher C, Olds TS, Eisenmann JC, Dollman J. Screen time is more strongly associated than physical activity with overweight and obesity in 9-to 16-year-old Australians. Acta Paediatrica. (2012) 11:1170–4. doi: 10.1111/j.1651-2227.2012.02804.x

PubMed Abstract | Crossref Full Text | Google Scholar

19. Al-Ghamdi SH. The association between watching television and obesity in children of school-age in Saudi Arabia. J Family Commun Med. (2013) 20:83–9. doi: 10.4103/2230-8229.114767

PubMed Abstract | Crossref Full Text | Google Scholar

20. Gortmaker SL, Must A, Sobol AM, Peterson K, Colditz GA, Dietz WH. Television viewing as a cause of increasing obesity among children in the United States, 1986–1990. Archiv Pediatr Adolesc Med. (1996) 150:356–62. doi: 10.1001/archpedi.1996.02170290022003

PubMed Abstract | Crossref Full Text | Google Scholar

21. Biddle SJH, Bengoechea EG, Wiesner G. Sedentary behaviour and adiposity in youth: a systematic review of reviews and analysis of causality. Int J Behav Nutr Phys Act. (2017) 14:43. doi: 10.1186/s12966-017-0497-8

PubMed Abstract | Crossref Full Text | Google Scholar

22. Rossi C, Albernaz D, Vasconcelos F, de Assis MAA, Di Pietro PF. Television influence on food intake in children and adolescents: a systematic review. Rev Nutr. (2010) 23:607–20. doi: 10.1590/S1415-52732010000400011

Crossref Full Text | Google Scholar

23. Pearson N, Biddle SJH. Sedentary behavior and dietary intake in children, adolescents, and adults: a systematic review. Am J Prev Med. (2011) 41:178–88. doi: 10.1016/j.amepre.2011.05.002

PubMed Abstract | Crossref Full Text | Google Scholar

24. Ding WQ, Dong HB, Mi J. Prevalence of dyslipidemia in Chinese children and adolescents: a meta-analysis. Chin J Epidemiol. (2015) 36:71–7.

PubMed Abstract | Google Scholar

25. Chen WW, Gao RL, Liu LS, Zhu ML, Wang W, Wang YJ, et al. China cardiovascular diseases report 2015: a summary. J Geriatr Cardiol. (2017) 14:1–10. doi: 10.11909/j.issn.1671-5411.2017.01.012

PubMed Abstract | Crossref Full Text | Google Scholar

26. Chang G, Li J, Pan Y, Zheng WL, Jiang GH. Study on relationship between lifestyle and chronic diseases. Chin J Prev Control Chronic Dis. (2008) 6:555–57.

Google Scholar

27. Honda T, Chen SM, Kishimoto H, Narazaki K, Kumagai S. Identifying associations between sedentary time and cardio-metabolic risk factors in working adults using objective and subjective measures: a cross-sectional analysis. BMC Public Health. (2014) 14:1307. doi: 10.1186/1471-2458-14-1307

PubMed Abstract | Crossref Full Text | Google Scholar

28. Healy GN, Dunstan DW, Salmon J, Cerin E, Shaw JE, Zimmet PZ, et al. Breaks in sedentary time: beneficial associations with metabolic risk. Diabet Care. (2008) 31:661–66. doi: 10.2337/dc07-2046

PubMed Abstract | Crossref Full Text | Google Scholar

29. Martinez-Gomez D, Tucker J, Heelan KA, Welk GJ, Eisenmann JC. Associations between sedentary behavior and blood pressure in young children. Arch Pediatr Adolesc Med. (2009) 163:724–30. doi: 10.1001/archpediatrics.2009.90

PubMed Abstract | Crossref Full Text | Google Scholar

30. Guillaume M, Lapidus L, Bjorntorp P, Lambert A. Physical activity, obesity, and cardiovascular risk factors in children: the Belgian Luxembourg child study II. Obes Res. (1997) 5:549–56. doi: 10.1002/j.1550-8528.1997.tb00576.x

PubMed Abstract | Crossref Full Text | Google Scholar

31. Carson V, Wong SL, Winkler E, Healy GN, Colley RC, Tremblay MS. Patterns of sedentary time and cardiometabolic risk among Canadian adults. Prev Med. (2014) 65:23–7. doi: 10.1016/j.ypmed.2014.04.005

PubMed Abstract | Crossref Full Text | Google Scholar

32. Pardee PE, Norman GJ, Lustig RH, Preud'homme D, Schwimmer JB. Television viewing and hypertension in obese children. Am J Prev Med. (2007) 33:439–43. doi: 10.1016/j.amepre.2007.07.036

PubMed Abstract | Crossref Full Text | Google Scholar

33. Tremblay MS, Carson V, Chaput JP, Gorber SC, Dinh T, Duggan M, et al. Canadian 24-Hour movement guidelines for children and youth: an integration of physical activity, sedentary behaviour, and sleep. Appl Physiol Nutr Metab. (2016) 41:S311–27. doi: 10.1139/apnm-2016-0203

PubMed Abstract | Crossref Full Text | Google Scholar

34. Ford ES, Caspersen CJ. Sedentary behaviour and cardiovascular disease: a review of prospective studies. Int J Epidemiol. (2012) 41:1338–53. doi: 10.1093/ije/dys078

PubMed Abstract | Crossref Full Text | Google Scholar

35. Howard BJ, Balkau B, Thorp AA, Magliano DJ, Shaw JE, Owen N, et al. Associations of overall sitting time and TV viewing time with fibrinogen and C reactive protein: the AusDiab study. Br J Sports Med. (2015) 49:255–69. doi: 10.1136/bjsports-2013-093014

PubMed Abstract | Crossref Full Text | Google Scholar

36. Lavie CJ, Ozemek C, Carbone S, Katzmarzyk PT, Blair SN. Sedentary behavior, exercise, and cardiovascular health. Circ Res. (2019) 124:799–15. doi: 10.1161/CIRCRESAHA.118.312669

PubMed Abstract | Crossref Full Text | Google Scholar

37. Hamburg NM, Mcmackin CJ, Huang AL, Shenouda SM, Widlansky ME, Schulz E, et al. Physical in activity rapidly induces insulin resistance and microvascular dysfunction in healthy volunteers. Arterioscler Thromb Vasc Biol. (2007) 27:2650–56. doi: 10.1161/ATVBAHA.107.153288

PubMed Abstract | Crossref Full Text | Google Scholar

38. Bailey DA, Mckay HA, Mirwald RL, Crocker PR, Faulkner RA. A six-year longitudinal study of the relationship of physical activity to bone mineral accrual in growing children: the university of Saskatchewan bone mineral accrual study. J Bone Miner Res. (1999) 14:1672–79. doi: 10.1359/jbmr.1999.14.10.1672

PubMed Abstract | Crossref Full Text | Google Scholar

39. Wu B, Bai FH, Lin MX, Lin JP. The relationship between calcaneal bone mineral density and bone mineral, fat and muscle content in adolescents. Chin J School Health. (2019) 40:1360–2. doi: 10.16835/j.cnki.1000-9817.2019.09.022

PubMed Abstract | Crossref Full Text | Google Scholar

40. Lee SY, Gallagher D. Assessment methods in human body composition. Curr Opin Clin Nutr Metab Care. (2008) 11:566–72. doi: 10.1097/MCO.0b013e32830b5f23

PubMed Abstract | Crossref Full Text | Google Scholar

41. Xu PY. Experimental Research on the Application of Physical Functional Training in Sedentary People (Master's thesis). Hebei Normal University, Shijiazhuang, China (2019).

Google Scholar

42. Tremblay MS, Colley RC, Saunders TJ, Healy GN, Owen N. Physiological and health implications of a sedentary lifestyle. Appl Physiol Nutr Metab. (2010) 35:725–40. doi: 10.1139/H10-079

PubMed Abstract | Crossref Full Text | Google Scholar

43. Bey L, Akunuri N, Zhao P, Hoffman EP, Hamilton DG, Hamilton MT. Patterns of global gene expression in rat skeletal muscle during unloading and low-intensity ambulatory activity. Physiol Genom. (2003) 13:157–67. doi: 10.1152/physiolgenomics.00001.2002

PubMed Abstract | Crossref Full Text | Google Scholar

44. Hamilton MT, Hamilton DG, Zderic TW. Role of low energy expenditure and sitting in obesity, metabolic syndrome, type 2 diabetes, and cardiovascular disease. Diabetes. (2007) 56:2655–67. doi: 10.2337/db07-0882

PubMed Abstract | Crossref Full Text | Google Scholar

45. Ramsey KA, Rojer AGM, D'Andrea L, Otten RHJ, Heymans MW, Trappenburg MC, et al. The association of objectively measured physical activity and sedentary behavior with skeletal muscle strength and muscle power in older adults: a systematic review and meta-analysis. Ageing Res Rev. (2021) 67:101266. doi: 10.1016/j.arr.2021.101266

PubMed Abstract | Crossref Full Text | Google Scholar

46. Grontved A, Ried-Larsen M, Froberg K, Wedderkopp N, Brage S, Kristensen PL, et al. Screen time viewing behaviors and isometric trunk muscle strength in youth. Med Sci Sports Exerc. (2013) 45:1975–80. doi: 10.1249/MSS.0b013e318295af56

PubMed Abstract | Crossref Full Text | Google Scholar

47. Cieśla E, Mleczko E, Bergier J, Markowska M, Nowak-Starz G. Health-related physical fitness, BMI, physical activity and time spent at a computer screen in 6 and 7-year-old children from rural areas in Poland. Ann Agric Environ Med. (2014) 21:617–21. doi: 10.5604/12321966.1120613

PubMed Abstract | Crossref Full Text | Google Scholar

48. Chastin SF, Mandrichenko O, Skelton DA. The frequency of osteogenic activities and the pattern of intermittence between periods of physical activity and sedentary behaviour affects bone mineral content: the cross-sectional NHANES study. BMC Public Health. (2014) 14:4. doi: 10.1186/1471-2458-14-4

PubMed Abstract | Crossref Full Text | Google Scholar

49. Vicente-Rodriguez G, Ortega FB, Rey-Lopez JP, España-Romero V, Blay VA, Blay G, et al. Extracurricular physical activity participation modifies the association between high TV watching and low bone mass. Bone. (2009) 45:925–30. doi: 10.1016/j.bone.2009.07.084

PubMed Abstract | Crossref Full Text | Google Scholar

50. Gracia-Marco L, Rey-Lo'Pez JP, Santaliestra-Pasiás AM, Jiménez-Pavón D, Díaz LE, Moreno LA, et al. Sedentary behaviours and its association with bone mass in adolescents: the HELENA cross-sectional study. BMC Public Health. (2012) 12:971. doi: 10.1186/1471-2458-12-971

PubMed Abstract | Crossref Full Text | Google Scholar

51. Gabel L, Mckay HA, Nettlefold L, Race D, Macdonald HM. Bone architecture and strength in the growing skeleton: the role of sedentary time. Med Sci Sports Exerc. (2015) 47:363–72. doi: 10.1249/MSS.0000000000000418

PubMed Abstract | Crossref Full Text | Google Scholar

52. Khan NA, Raine LB, Drollette ES, Scudder MR, Kramer AF, Hillman CH. Dietary fiber is positively associated with cognitive control among prepubertal children. J Nutr. (2015) 145:143–49. doi: 10.3945/jn.114.198457

PubMed Abstract | Crossref Full Text | Google Scholar

53. Olanrewaju O, Stockwell S, Stubbs B, Smith L. Sedentary behaviours, cognitive function, and possible mechanisms in older adults: a systematic review. Aging Clin Exp Res. (2020) 32:969–84. doi: 10.1007/s40520-019-01457-3

PubMed Abstract | Crossref Full Text | Google Scholar

54. Wilmer HH, Chein JM. Mobile technology habits: patterns of association among device usage, intertemporal preference, impulse control, and reward sensitivity. Psychonom Bull Rev. (2016) 23:1607–14. doi: 10.3758/s13423-016-1011-z

PubMed Abstract | Crossref Full Text | Google Scholar

55. Hamer M, Stamatakis E. Prospective study of sedentary behavior, risk of depression, and cognitive impairment. Med Sci Sports Exerc. (2014) 46:718–23. doi: 10.1249/MSS.0000000000000156

PubMed Abstract | Crossref Full Text | Google Scholar

56. Falck RS, Davis JC, Liu-Ambrose T. What is the association between sedentary behaviour and cognitive function? A systematic review. Br J Sports Med. (2017) 51:800–11. doi: 10.1136/bjsports-2015-095551

PubMed Abstract | Crossref Full Text | Google Scholar

57. Coelho L, Hauck K, Mckenzie K, Copeland JL, Kan IP, Gibb RL, et al. The association between sedentary behavior and cognitive ability in older adults. Aging Clin Exp Res. (2020) 32:2339–47. doi: 10.1007/s40520-019-01460-8

PubMed Abstract | Crossref Full Text | Google Scholar

58. Chen YJ, Zeng X, Liang JH. Reduce students' non-essential sedentary behavior and promote sports and labor education to livelihood. Chin J School Health. (2021) 42:1121–34. doi: 10.16835/j.cnki.1000-9817.2021.08.001

Crossref Full Text | Google Scholar

59. Huber B, Yeates M, Meyer D, Fleckhammer L, Kaufman J. The effects of screen media content on young children's executive functioning. J Exp Child Psychol. (2018) 170:72–85. doi: 10.1016/j.jecp.2018.01.006

PubMed Abstract | Crossref Full Text | Google Scholar

60. Tun PA, Lachman ME. The association between computer use and cognition across adulthood: use it so you won't lose it? Psychol Aging. (2010) 25:560–68. doi: 10.1037/a0019543

PubMed Abstract | Crossref Full Text | Google Scholar

61. Panza F, D'Introno A, Colacicco AM, Capurso C, Pichichero G, Capurso SA, et al. Lipid metabolism in cognitive decline and dementia. Brain Res Rev. (2006) 51:275–92. doi: 10.1016/j.brainresrev.2005.11.007

PubMed Abstract | Crossref Full Text | Google Scholar

62. Craft S. The role of metabolic disorders in Alzheimer disease and vascular dementia. Arch Neurol. (2009) 66:300–5. doi: 10.1001/archneurol.2009.27

PubMed Abstract | Crossref Full Text | Google Scholar

63. Li HJ, Zhang L. The relationship between physical activity and physical health in children and adolescents and suggestions for promotion. People's Educ. (2020) (10):36–41.

Google Scholar

64. Fairclough SJ, Tyler R, Dainty JR, Dumuid D, Richardson C, Shepstone L, et al. Cross-sectional associations between 24-hour activity behaviours and mental health indicators in children and adolescents: a compositional data analysis. J Sports Sci. (2021) 39:1602–14. doi: 10.1080/02640414.2021.1890351

PubMed Abstract | Crossref Full Text | Google Scholar

65. Wen CKF, Liao Y, Maher JP, Huh J, Belcher BR, Dzubur E, et al. Relationships among affective states, physical activity, and sedentary behavior in children: moderation by perceived stress. Health Psychol. (2018) 37:904–14. doi: 10.1037/hea0000639

PubMed Abstract | Crossref Full Text | Google Scholar

66. Carson V, Ezeugwu VE, Tamana SK, Chikuma J, Lefebvre DL, Azad MB, et al. Associations between meeting the Canadian 24-Hour Movement Guidelines for the Early Years and behavioral and emotional problems among 3-year-olds. J Sci Med Sport. (2019) 22:797–02. doi: 10.1016/j.jsams.2019.01.003

PubMed Abstract | Crossref Full Text | Google Scholar

67. Przybylski AK. Electronic gaming and psychosocial adjustment. Pediatrics. (2014) 134:e716–22. doi: 10.1542/peds.2013-4021

PubMed Abstract | Crossref Full Text | Google Scholar

68. Parkes A, Sweeting H, Wight D, Henderson M. Do television and electronic games predict children's psychosocial adjustment? Longitudinal research using the UK Millennium Cohort Study. Arch Dis Child. (2013) 98:341–48. doi: 10.1136/archdischild-2011-301508

PubMed Abstract | Crossref Full Text | Google Scholar

69. Busch V, Manders LA, De Leeuw JR. Screen time associated with health behaviors and outcomes in adolescents. Am J Health Behav. (2013) 37:819–30. doi: 10.5993/AJHB.37.6.11

PubMed Abstract | Crossref Full Text | Google Scholar

70. Suchert V, Hanewinkel R, Isensee B. Sedentary behavior and indicators of mental health in school-aged children and adolescents: a systematic review. Prev Med. (2015) 76:48–57. doi: 10.1016/j.ypmed.2015.03.026

PubMed Abstract | Crossref Full Text | Google Scholar

71. Qian QW, Sun Y, Wang CH, Jing GQ, Zhu F, Dong J. Impact of aerobic exercises and sedentary behaviors on psychology and cognition among middle school students in Bengbu, Anhui province. Chin J School Health. (2012) 33:1479–81. doi: 10.16835/j.cnki.1000-9817.2012.12.027

Crossref Full Text | Google Scholar

72. Wilhite K, Booker B, Huang BH, Antczak D, Corbett L, Parker P, et al. Combinations of physical activity, sedentary behavior, and sleep duration and their associations with physical, psychological, and educational outcomes in children and adolescents: a systematic review. Am J Epidemiol. (2023) 192:665–79. doi: 10.1093/aje/kwac212

PubMed Abstract | Crossref Full Text | Google Scholar

73. Dalene KE, Anderssen SA, Andersen LB, Steene-Johannessen J, Ekelund U, Hansen BH, et al. Cross-sectional and prospective associations between physical activity, body mass index and waist circumference in children and adolescents. Obes Sci Pract. 3:249–57. doi: 10.1002/osp4.114

PubMed Abstract | Crossref Full Text | Google Scholar

74. Liang G, Wang LJ, Chen H, Lin H, Chen Y. The association of the body mass index of children with 24-hour activity composition and isotemporal substitution: a compositional data analysis. China Sport Sci. (2022) 42:77–84. doi: 10.16469/j.css.202203008

Crossref Full Text | Google Scholar

75. Huang BY, Tan JY, Liu Q, Zhang DM, Xu HF, Huang ZH, et al. Comparison and empirical study of the application of compositional isotemporal substitution model and non-compositional isotemporal substitution model in the research field of health effects of physical activity. China Sport Sci. (2022) 42:51–73. doi: 10.16469/j.css.202202006

Crossref Full Text | Google Scholar

76. Kracht CL, Katzmarzyk PT, Champagne CM, Broyles ST, Hsia DS, Newton RL, et al. Association between sleep, sedentary time, physical activity, and adiposity in adolescents: a prospective observational study. Med Sci Sports Exer. (2023) 55:110–8. doi: 10.1249/MSS.0000000000003018

PubMed Abstract | Crossref Full Text | Google Scholar

77. Hills AP, Dengel DR, Lubans DR. Supporting public health priorities: recommendations for physical education and physical activity promotion in schools. Progr Cardiovasc Dis. (2015) 57:368–74. doi: 10.1016/j.pcad.2014.09.010

PubMed Abstract | Crossref Full Text | Google Scholar

78. Ayala AMC, Salmon J, Dunstan DW, Arundell L, Timperio A. Does light-intensity physical activity moderate the relationship between sitting time and adiposity markers in adolescents? J Sport Health Sci. (2020) 11:613–19. doi: 10.1016/j.jshs.2020.04.002

PubMed Abstract | Crossref Full Text | Google Scholar

79. Herman KM, Chaput JP, Sabiston CM, Mathieu ME, Tremblay A, Paradis G. Combined physical activity/sedentary behaviour associations with indices of adiposity in 8 to 10 year old children. J Phys Act Health. (2014) 56:421–32. doi: 10.1123/jpah.2013-0019

PubMed Abstract | Crossref Full Text | Google Scholar

80. Kim IY, Park S, Trombold JR, Coyle EF. Effects of moderateand intermittent low-intensity exercise on postprandial lipemia. Med Sci Sports Exerc. (2014) 46:1882–90. doi: 10.1249/MSS.0000000000000324

PubMed Abstract | Crossref Full Text | Google Scholar

81. Physical Activity Guidelines Advisory Committee. Physical Activity Guidelines Advisory Committee Report. Washington, DC: US Department of Health and Human Services (2008).

Google Scholar

82. Gaspar RC, Muñoz VR, Formigari GP, Kuga GK, Nakandakari SCBR, Botezelli JD, et al. Acute physical exercise increases the adaptor protein APPL1 in the hypothalamus of obese mice. Cytokine. (2018) 110:87–93. doi: 10.1016/j.cyto.2018.04.013

PubMed Abstract | Crossref Full Text | Google Scholar

83. Cao SS, Wei LW, Hou LJ, Chen W. Midbrain-striatum dopamine plasticity: an important mechanism of obesity-related physical inactivity. Progr Physiol Sci. (2020) 51:198–02.

Google Scholar

84. Carson V, Janssen I. Volume, patterns, and types of sedentary behavior and cardio -metabolic health in children and adolescents: a cross -sectional study. BMC Public Health. (2011) 11:274–84. doi: 10.1186/1471-2458-11-274

PubMed Abstract | Crossref Full Text | Google Scholar

85. Zhou Y, Wang ZZ. Sedentary hyperactivity and cardiovascular risk factors. Chin J Sports Med. (2015) 34:804–09. doi: 10.16038/j.1000-6710.2015.08.017

Crossref Full Text | Google Scholar

86. Li DZ, Li FH, Liu Y, Jia Y, Li WT, Yao Y, et al. Interpretation of the World Health Organization 2020 guidelines on physical activity and sedentary behaviour. Chin J Clin Thoracic Cardiovasc Surg. (2021) 28:376–83. doi: 10.7507/1007-4848.202012101

PubMed Abstract | Crossref Full Text | Google Scholar

87. Zhang YT, Ma SX, Chen C, Liu SJ, Zhang CF, Cao ZB, et al. Physical activity guide for children and adolescents in China. Chin J Evid Based Pediatr. (2017) 12:401–9. doi: 10.3969/j.issn.1673-5501.2017.06.001

Crossref Full Text | Google Scholar

88. Tremblay MS, Warburton DE, Janssen I, Paterson DH, Latimer AE, Rhodes RE, et al. New Canadian physical activity guidelines. Appl Physiol Nutr Metab. (2011) 36:36–46. doi: 10.1139/H11-009

PubMed Abstract | Crossref Full Text | Google Scholar

89. Bailey DP, Locke CD. Breaking up prolonged sitting with light-intensity walking improves postprandial glycemia, but breaking up sitting with standing does not. J Sci Med Sport. 18:294-8. doi: 10.1016/j.jsams.2014.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

90. Katzmarzyk PT, Powell KE, Jakicic JM, Troiano RP, Piercy K, Tennant B. Sedentary behavior and health: update from the 2018 physical activity guidelines advisory committee. Med Sci Sports Exerc. (2019) 51:1227–41. doi: 10.1249/MSS.0000000000001935

PubMed Abstract | Crossref Full Text | Google Scholar

91. US Department of Health and Human Services. Physical Activity Guidelines for Americans. 2nd ed. Washington, DC: US Department of Health and Human Services (2018).

Google Scholar

92. Liu Q, Liu FC, Li JX, Huang KY, Yang XL, Chen JC, et al. Sedentary behavior and risk of incident cardiovascular disease among Chinese adults. Sci Bullet. (2020) 65:1760–66. doi: 10.1016/j.scib.2020.05.029

PubMed Abstract | Crossref Full Text | Google Scholar

93. Ekelund U, Brown WJ, Steene-Johannessen J, Fagerland MW, Owen N, Powell KE, et al. Do the associations of sedentary behaviour with cardiovascular disease mortality and cancer mortality differ by physical activity level? A systematic review and harmonised meta-analysis of data from 850,060 participants. Br J Sports Med. (2019) 53:886–94. doi: 10.1136/bjsports-2017-098963

PubMed Abstract | Crossref Full Text | Google Scholar

94. Terada S, Goto M, Kato M, Kawanaka K, Shimokawa T, Tabata I. Effects of low-intensity prolonged exercise on PGC-1 mRNA expression in rat epitrochlearis muscle. Biochem Biophys Res Commun. (2002) 296:350–4. doi: 10.1016/S0006-291X(02)00881-1

PubMed Abstract | Crossref Full Text | Google Scholar

95. Ma XW, Li H, Zhang YY. Research progress on the protective effect and related mechanism of exercise rehabilitation training on cardiovascular diseases. Chin J Front Med Sci. (2013) 5:20–3.

Google Scholar

96. Wang TC, Li Y, Zhu LW, Zhang ZB, Zhang B, Feng P, et al. Mechanism of exercise for cardiovascular protection. Chin Heart J. (2019) 31:361–5. doi: 10.12125/j/chj/201810043

Crossref Full Text | Google Scholar

97. Cardadeiro G, Baptista F, Ornelas R, Janz KF, Sardinha LB. Sex specific association of physical activity on proximal femur BMD in 9 to 10 year-old children. PLoS ONE. (2012) 7:e50657. doi: 10.1371/journal.pone.0050657

PubMed Abstract | Crossref Full Text | Google Scholar

98. Farr JN, Laddu DR, Blew RM. Effects of physical activity and muscle quality on bone development in girls. Med Sci Sports Exerc. (2013) 45:2332–40. doi: 10.1249/MSS.0b013e31829c32fe

PubMed Abstract | Crossref Full Text | Google Scholar

99. Golbidi S, Laher I. Molecular mechanisms in exercise-induced cardioprotection. Cardiol Res Pract. (2011) 2011:1–15. doi: 10.4061/2011/972807

PubMed Abstract | Crossref Full Text | Google Scholar

100. He CC, Sumpter R, Levine B. Exercise induces autophagy in peripheral tissues and in the brain. Autophagy. (2012) 8:1548–51. doi: 10.4161/auto.21327

PubMed Abstract | Crossref Full Text | Google Scholar

101. Rosen CJ, Klibanski A. Bone, fat, and body composition: evolving concepts in the pathogenesis of osteoporosis. Am J Med. (2009) 122:409–14. doi: 10.1016/j.amjmed.2008.11.027

PubMed Abstract | Crossref Full Text | Google Scholar

102. Janz KF, Letuchy EM, Burns TL, Eichenberger Gilmore JM, Torner JC, Levy SM. Objectively measured physical activity trajectories predict adolescent bone strength: Iowa bone development study. Br J Sports Med. (2014) 48:1032–36. doi: 10.1136/bjsports-2014-093574

PubMed Abstract | Crossref Full Text | Google Scholar

103. Herrmann D, Buck C, Sioen I, Kouride Y, Marild S, Molnár D, et al. Impact of physical activity, sedentary behaviour and muscle strength on bone stiffness in 2-10-year-old children-cross-sectional results from the IDEFICS study. Int J Behav Nutr Phys Act. (2015) 12:6. doi: 10.1186/s12966-015-0273-6

PubMed Abstract | Crossref Full Text | Google Scholar

104. Harvey NC, Cole ZA, Crozier SR, Kim M, Ntani G, Goodfellow L, et al. Physical activity, calcium intake and childhood bone mineral: a population-based cross-sectional study. Osteoporos Int. (2012) 23:121–30. doi: 10.1007/s00198-011-1641-y

PubMed Abstract | Crossref Full Text | Google Scholar

105. Sayers A, Mattocks C, Deere K, Ness A, Riddoch C, Tobias JH. Habitual levels of vigorous, but not moderate or light, physical activity is positively related to cortical bone mass in adolescents. J Clin Endocrinol Metab. (2011) 96:E793–2. doi: 10.1210/jc.2010-2550

PubMed Abstract | Crossref Full Text | Google Scholar

106. Rizzoli R, Bianchi ML, Garabedian M, McKay HA, Moreno LA. Maximizing bone mineral mass gain during growth for the prevention of fractures in the adolescents and the elderly. Bone. (2010) 46:294–05. doi: 10.1016/j.bone.2009.10.005

PubMed Abstract | Crossref Full Text | Google Scholar

107. Hind K, Burrows M. Weight-bearing exercise and bone mineral accrual in children and adolescents: a review of controlled trials. Bone. (2007) 40:14–27. doi: 10.1016/j.bone.2006.07.006

PubMed Abstract | Crossref Full Text | Google Scholar

108. Magnon V, Vallet GT, Dutheil F, Auxiette C. Sedentary lifestyle matters as past sedentariness, not current sedentariness, predicts cognitive inhibition performance among college students: an exploratory study. Int J Environ Res Public Health. (2021) 18:7649. doi: 10.3390/ijerph18147649

PubMed Abstract | Crossref Full Text | Google Scholar

109. van der Niet AG, Smith J, Scherder EJA, Oosterlaan J, Hartman E, Visscher C. Associations between daily physical activity and executive functioning in primary school-aged children. J Sci Med Sport. (2015) 18:673–7. doi: 10.1016/j.jsams.2014.09.006

PubMed Abstract | Crossref Full Text | Google Scholar

110. Zhou CL, Jin XH. Theory and practice of sports to promote learning efficiency from the perspective of brain science. J Shanghai Univ Sport. (2021) 45:20–8. doi: 10.16099/j.sus.2021.01.003

Crossref Full Text | Google Scholar

111. Ishihara T, Sugasawa S, Mstsuda Y, et al. The beneficial effects of game-based exercise using age-appropriate tennis lessons on the executive functions of 6–12-year-old children. Neurosci Lett. (2017) 642:97–101. doi: 10.1016/j.neulet.2017.01.057

PubMed Abstract | Crossref Full Text | Google Scholar

112. Sund AM, Larsson B, Wichstrom L. Role of physical and sedentary activities in the development of depressive symptoms in early adolescence. Soc Psychiatry Psychiatr Epidemiol. (2011) 46:431–41. doi: 10.1007/s00127-010-0208-0

PubMed Abstract | Crossref Full Text | Google Scholar

113. Wang L, Zhang YA, Wang L. Developments of foreign researches on screen time affecting teenager physical health in recent 10 years. J Phys Educ. (2016) 23:138–44. doi: 10.16237/j.cnki.cn44-1404/g8.2016.02.019

Crossref Full Text | Google Scholar

114. Liu M, Wang Y, LIiu QF. Relationship between sedentary behavior time and physical activity level, mental health status of preschool children. Chin J Child Health Care. (2021) 29:418–34.

Google Scholar

115. Janssen I. Estimating whether replacing time in active outdoor play and sedentary video games with active video games influences youth's mental health. J Adolesc Health. (2016) 59:517–22. doi: 10.1016/j.jadohealth.2016.07.007

PubMed Abstract | Crossref Full Text | Google Scholar

116. Andermo S, Hallgren M, Nguyen TTD, Jonsson S, Petersen S, Friberg M, et al. School-related physical activity interventions and mental health among children: a systematic review and meta-analysis. Sports Med Open. (2020) 6:25. doi: 10.1186/s40798-020-00254-x

PubMed Abstract | Crossref Full Text | Google Scholar

117. Yan HH, Nie X, Zhu YK, Gao JL. Associations between physical activity and health among adolescent. Chin J Health Educ. (2020) 36:987–1023. doi: 10.16168/j.cnki.issn.1002-9982.2020.11.005

Crossref Full Text | Google Scholar

118. Gray JA, Mcnaughton N. The Neuropsychology of Anxiety: An Enquiry Into the Functions of the Septohippocampal System. 2nd ed. New York, NY: Oxford University Press.

Google Scholar

119. Sahay A, Scobie KN, Hill AS, O'Carroll CM, Kheirbek MA, Burghardt NS, et al. Increasing adult hippocampal neurogenesis is sufficient to improve pattern separation. Nature. (2011) 472:466–539. doi: 10.1038/nature09817

PubMed Abstract | Crossref Full Text | Google Scholar

120. Duman CH, Schlesinger L, Russell DS, Duman RS. Voluntary exercise produces antidepressant and anxiolytic behavioral effects in mice. Brain Res. (2008) 1199:148–58. doi: 10.1016/j.brainres.2007.12.047

PubMed Abstract | Crossref Full Text | Google Scholar

121. Deng RH, Yan J, Jin QG. The mechanism and exercise prescription for exercise to improve mental health. J Xi'an Phys Educ Univ. (2003) 3:107–10.

Google Scholar

Keywords: children and adolescents, sedentary behavior, physical activity, physical and mental health, physiological mechanisms

Citation: Wang K, Li Y, Liu H, Zhang T and Luo J (2024) Can physical activity counteract the negative effects of sedentary behavior on the physical and mental health of children and adolescents? A narrative review. Front. Public Health 12:1412389. doi: 10.3389/fpubh.2024.1412389

Received: 04 April 2024; Accepted: 19 July 2024;
Published: 02 August 2024.

Edited by:

Abdulqadir J. Nashwan, Hamad Medical Corporation, Qatar

Reviewed by:

Amudha Pattabi, Hamad Medical Corporation, Qatar
Yasmine Mahmoud Moussa Osman, Hiroshima University, Japan

Copyright © 2024 Wang, Li, Liu, Zhang and Luo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jiong Luo, 784682301@qq.com

These authors have contributed equally to this work

Disclaimer: 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.