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SYSTEMATIC REVIEW article

Front. Oral. Health, 30 May 2024
Sec. Oral Epidemiology

Biopsychosocial factors in oral and systemic diseases: a scoping review

\r\nAbby L. J. Hensel,
Abby L. J. Hensel1,2*Kathryn NicholsonKathryn Nicholson2Kelly K. Anderson,,Kelly K. Anderson2,3,4Noha A. Gomaa,,\r\nNoha A. Gomaa1,2,4
  • 1Dentistry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
  • 2Epidemiology and Biostatistics, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
  • 3Psychiatry, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada
  • 4Children's Health, Lawson Health Research Institute, London, ON, Canada

Background: The association between chronic oral diseases and other major systemic health conditions, commonly referred to as the oral-systemic health connection, has been previously studied with several underlying common risk factors and pathways linking both groups of diseases. Psychosocial factors contribute to an increased susceptibility to chronic oral and non-oral diseases. The aim of this review is to summarize the current state of knowledge on the role of psychosocial stress in chronic oral and systemic diseases.

Methods: A search strategy was built and a literature search was conducted using four databases (CINAHL, Embase, Medline, PsycINFO). A combination of search terms related to psychosocial stress, systemic disease, and oral conditions were used. Studies were eligible for inclusion if they included human adults (aged 18 years and older), included psychosocial factors as an exposure measure, and outcome measures of both an oral and systemic condition. Only English-language articles were considered. Pilot testing of the data extraction form and calibration were conducted and data were extracted independently by one researcher.

Results: A total of fifteen articles out of eighty full-text articles screened were determined to be eligible for inclusion in this review. Periodontal disease was the most commonly studied oral disease, measured in 53% of included articles, with the most commonly studied systemic diseases being of mental health conditions (40%) and diabetes (47%). Psychosocial stress was measured using a range of psychometric indicators and/or biomarkers, including perceived stress, individual behaviours, childhood adversity, and cortisol. In total, fourteen studies found a positive association between measures of psychosocial stress and oral-systemic health.

Conclusion: Psychosocial stress may be a common contributor to both chronic oral and non-oral diseases.

1 Introduction

The oral-systemic disease or the link between oral and other health conditions continues to be a dynamic area of interest and relevance to dental practice and policy (1). This relationship can be bidirectional where various systemic diseases and related medications can have oral manifestations, while oral pathologies can have a systemic impact (2, 3). Studies, theories and postulations about how oral and systemic diseases are linked have been ongoing for several decades (2, 4). Through the focal infection theory, defined more than a century ago, W.D. Miller suggested the mouth as a source of infection, theorizing that oral microorganisms and/or their products are able to access other areas and organs that are adjacent to or distant from the oral cavity (5, 6). More recently, research on the oral-systemic disease connection has considerably intensified and evolved, and there is now a plethora of studies that demonstrate that both groups of diseases are linked through social and biological pathways. For example, periodontal disease has been consistently associated with atherosclerosis, heart disease, diabetes, osteoporosis, and other conditions through an underlying inflammatory process (712). The number of functional teeth has also been suggested as a predictor of mortality and cognitive health in older adults (13, 14). Importantly, both groups of diseases are known to stem from adverse social exposures such as precarious living conditions, poor social support and the inability to afford medical and/or dental care (15). Therefore, deciphering the pathways that link these common social exposures to disease outcomes is important to identify “mid-stream” and modifiable points of intervention (16).

The biomedical model, which focuses on health purely in terms of biological factors (1719), has traditionally be used to explain the oral-systemic disease connection and has dominated discussions in this area. However, the biomedical model is often criticized due to the biomedical approach treating independent organs or systems in isolation may alleviate some symptoms without solving the “root cause” of the condition (17, 20, 21). In doing so, the biomedical model reduces an individual to an object of illness rather than as an active part of the healing process (22). Alternatively, to address the limitations and criticisms of the biomedical model, George Engel (1977) proposed a new model in the 1970s to better understand the various factors involved in health and disease (23). The biopsychosocial model is commonly used to explain how biological (e.g., viruses, bacteria, immune responses, etc.), psychological (e.g., stress, coping strategies, health behaviours, etc.), and social (e.g., race/ethnicity, level of education, employment, etc.) factors work to influence and shape health across the lifespan (2427). It also acknowledges modern medical advances while also emphasizing that many illnesses cannot be understood by looking for changes at the cellular or molecular levels (24, 25, 28, 29).

Following the biopsychosocial approach, social and psychosocial exposures are known as common risk factors and pathways to oral and systemic health conditions (30). According to the American Psychological Association (APA), a psychosocial stressor refers to “a life situation that creates an unusual or intense level of stress that may contribute to the development or aggravation of mental disorder, illness, or maladaptive behaviour” (31). Previous research has demonstrated that stress may alter the internal homeosis. The hypothalamic-pituitary-adrenal (HPA) axis is considered one of the major endocrine systems that maintains homeostasis (32, 33). The parvocellular neurons of the paraventricular nucleus of the hypothalamus secrete corticotropin releasing hormone (CRH) and arginine vasopressin (AVP) during periods of acute stress, which activates the HPA axis (34, 35). These neuropeptides activate the synthesis and release of adrenocorticotropin hormone (ACTH) from the pituitary (3235). ACTH secretion then stimulates the adrenal cortex to synthesize glucocorticoids, such as cortisol, which helps regulate inflammatory responses and lymphocytic activity (3235). Although short-term elevations in glucocorticoids can reduce inflammation and mobilize immune components, when these hormones are produced over an extended period of time under conditions of chronic stress, they may impair immune function by inhibiting the activity of immunoglobulin A (IgA), immunoglobulin G (IgG), and neutrophils (36). IgA antibodies reduce the initial colonization of periodontal organisms, and IgG antibodies may make periodontal pathogens more vulnerable to phagocytosis by neutrophils (36, 37). Therefore, depressed immunity and chronically elevated cortisol may contribute to in higher levels of inflammation and exacerbation of numerous physical diseases over the lifespan, including periodontitis, heart disease, and diabetes (3643).

In addition to altering physiological responses, psychosocial stress can be linked to health-harming behaviours that lead to oral and systemic diseases (44, 45). For example, a recent study has shown that smoking, alcohol consumption, and less frequent tooth-brushing concentrated in more stressed individuals (46). Psychosocial stress has also been shown to impact stress-coping mechanisms and to dysregulate central autonomic functions involved (47, 48). The latter has demonstrated how social adversity links to altered structure and function of stress-regulating brain areas including the hippocampus and associated behavioural inclinations (49). Inadequate coping skills have also been shown to exacerbate the association between periodontal disease and diabetes (50), as well as stress and heart disease (51, 52).

The impact of social and psychosocial exposures on health outcomes may be influenced by the magnitude and the timing at which the exposure occurs over the lifespan (26, 53). The life-course model envisions current health to be shaped by earlier exposures to physical, environmental, and psychosocial factors that mold biological outcomes (54). According to the developmental theory of the life-course perspective (life-span development), which focuses on the role of critical and sensitive periods in shaping health overtime, adverse childhood experiences (ACEs) such as growing up in poverty and/or experiencing neglect or abuse may alter the regulation of the HPA axis and increase the risk for health problems that manifest later in life (5457). Although responses to an adverse environment may initially appear adaptive, prolonged dysregulation of physiologic stress mechanisms can persist into adulthood and older age (54, 58). For example, adults who report ACEs have been shown to have worse oral health outcomes than those who did not report ACEs (59). ACEs such as abuse in its various forms (physical, psychological, emotional abuse and/or sexual) and neglect have been shown to be associated with oral health problems including tooth loss, dental pain, and periodontal diseases (59). Additionally, early life stress has been shown to increase the risk of diabetes (60), ischemic heart disease (61), stroke (61), and hypertension (62). Some studies have also demonstrated that there is a graded dose-response relationship between ACEs and health outcomes in which the risk of diseases increases as the number of ACEs which an individual has experienced rises (63).

To this end, we recognize that psychosocial stress may play a pivotal role in the disease process, with a magnitude of effect that can vary according to the timing of the exposure and age of the individual. However, knowledge of empirical studies that have examined the role of psychosocial stress at different timepoints in life and how it can contribute to both oral and systemic health connection needs delineation. Therefore, in this review, we aim to map and identify gaps in the literature relating to the role of psychosocial factors in the co-occurrence of chronic oral and systemic health conditions. First, we provide an overview of the pathways and risk factors that are common to both oral and systemic diseases. We then present our systematic search in which we summarize the role of psychosocial stress, assessed both biologically and psychometrically, in the oral-systemic disease connection to identify knowledge gaps and future research opportunities.

2 Methods

This scoping review aims to describe knowledge on the contribution of psychosocial factors to the co-existence of oral and systemic diseases in adults. A scoping review methodology was selected to examine the available literature, summarize findings, and identify knowledge gaps, and was conducted following the approach suggested by Arksey and O'Malley (64). Searches, data extraction, and reporting of results were conducted following the PRISMA-ScR (Preferred Reporting Items for Systematic Review and Meta-Analysis extension for Scoping Reviews) checklist (Supplementary File) (65). The central research question for this scoping review was: “What is the state of current knowledge on the role of biopsychosocial factors in the co-occurrence of oral and systemic diseases in adults?”. This was curated using the following parameters:

Population: Adults aged 18 years and older

Exposure: Psychosocial factors (e.g., psychological stress, life stress, cortisol)

Comparison: Adults without psychosocial stress

Outcomes: Oral health conditions (e.g., periodontal disease, dental caries) and systemic disease (e.g., asthma, dementia, stroke)

2.1 Search strategy

A systematic search of the literature was done using the following electronic databases: CINAHL, Embase, Medline, and PsycINFO in March 2022, and updated in March 2023. Individual search strategies were developed for each database to account for unique indexing terms. The search strategy for each database is shown in the Supplementary File. A combination of keywords and search terms using Boolean operators, truncation, phrase searching, and MeSH terms were used in the search strategy. These included: (i) psychosocial stress (e.g., psychological stress, adverse childhood experiences, life stress, (ii) oral health conditions (e.g., periodontal disease, dental caries, oral health), and (iii) systemic diseases were selected based on the chronic conditions that were consistent with the recommendation of the Public Health Agency of Canada (PHAC) (66). Systemic conditions search terms included arthritis, asthma, cancer, COPD, dementia, diabetes, heart disease, stroke. The search included relevant published and unpublished literature found in theses retrieved from online accessible university repositories available in the English language without other restriction on study design or article type. The reference lists and bibliographies of relevant studies were hand searched for further references.

2.2 Eligibility criteria, article selection, and data extraction

Titles and abstracts were reviewed using the following inclusion criteria: human empirical studies of adults (aged 18 years and above), psychosocial stress as an exposure measure, and outcome measures that included both an oral and systemic condition. Other criteria for inclusion were: (i) population-based observational studies; (ii) peer-reviewed publication to assure a minimal threshold for quality of the studies; (iii) no geographical restrictions were placed so as to allow for a global perspective; (iv) studies published in the English language. Studies were excluded if they were conducted in animals, assessed only inflammatory biomarkers in relation to stress without a disease outcome, conducted in children (0–17 years), or were COVID-19 related. The reference lists and bibliographies of relevant systematic reviews, meta-analyses, case-reports, overviews, and commentaries were scanned to identify relevant studies; however, the reviews themselves were excluded.

Search results were extracted to Endnote and duplicates of identified records were removed and screened before title/abstract/full-text assessment. One author (A.H.) then independently conducted the eligibility screening process based on titles, abstracts, and full text. To ensure reviewer consistency, the first 50 articles were re-screened for inclusion after all other articles. Records that passed the initial screening had their full text downloaded and key information extracted using a Microsoft Excel 2019 sheet (Microsoft Corporation, United States) to assess for inclusion. Data extraction form and the extraction categories were determined based on discussions between co-authors. Pilot testing of the data extraction form for calibration was conducted. Key information included: author(s) and year of publication; study design; study focus/aim; country of origin; sample size and demographics; exposure variable(s); outcome variables; and key findings. Results and key extracted information are reported in a narrative and table format following PRISMA-ScR guidelines. Consistent with the scoping review approach and as we report the results in narrative form, no critical appraisal of studies was conducted (65).

3 Results

A total of 778 articles were identified and underwent titles/abstract screening for relevance. After screening by title and abstract, 556 articles were excluded. The most common reason for exclusion was assessing inflammatory biomarkers as an outcome, or not assessing oral and systemic conditions together. After evaluating the full text of 80 articles, a total of 15 studies met the inclusion criteria for the current review (Figure 1).

Figure 1
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Figure 1. PRISMA flow diagram depicting the article selection process.

3.1 Characteristics of included studies

Of the fifteen articles included in this review, twelve studies used a psychometric measure of stress (Table 1) (6778), five studies measured stress biologically via cortisol (Table 2) (72, 74, 7981), and two studies assessed stress both psychometrically and biologically (72, 74). In total, the studies in this review involved 43,472 individuals, where the weighted mean age of participants was 60.0 years (range 17–82 years) and 45.9% were female. With regard to study design, six studies were of case-control design (69, 7173, 79, 80), five were cross-sectional (67, 7476, 81), three were cohort studies (68, 70, 78), and one was a clinical trial including baseline data comparing darapladib, a selective oral inhibitor of lipoprotein-associated phospholipase A2, with placebo in patients with coronary heart disease (77). There was also variation in geographical location, with four studies conducted in North America (67, 70, 74, 76), four in the Middle-East (68, 73, 79, 80), two in Europe (69, 71), three in Asia (72, 75, 81), one in New Zealand (78), and one multi-country study (77).

Table 1
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Table 1. Summary of studies using psychometric assessments for the role of psychosocial stress in co-existence of oral and systemic diseases.

Table 2
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Table 2. Summary of studies using biological assessments of psychosocial stress (i.e., cortisol) in the oral-systemic health connection.

3.2 Oral and systemic diseases

Periodontal disease was the most common oral health outcome measured, included in 53% (n = 8) of all included studies (69, 71, 72, 74, 75, 78, 79, 81). The majority of studies (n = 12) recorded oral disease using clinical examinations or diagnosis of participants (80%) (6775, 7880), while the remaining three studies assessed oral health using self-report questionnaires (76, 77, 81). Clinically assessed outcomes included periodontal disease (69, 71, 72, 74, 75, 78, 79, 81), dental caries (70, 78, 81), tooth loss (68, 74, 77, 80), clinical attachment loss (68, 72, 74, 78, 79), burning mouth syndrome (73), and poor oral health (67, 76, 81). Self-reported outcomes included self-reported oral health (67, 76, 81), tooth loss (77), and bleeding gums (77). Diabetes (67, 68, 70, 72, 75, 76, 80), heart diseases (e.g., coronary heart disease, myocardial infarction) (70, 7678), and mental health conditions (e.g., depression and schizophrenia) (69, 71, 73, 74, 78, 79) were the most common systemic diseases studied, comprising 47%, 27%, 40% of eligible studies, respectively. Other systemic diseases included hypertension (76), arthritis (76), sleep disorders (73), chronic obstructive pulmonary disorders (COPD) (76), and Alzheimer's disease (81). Four articles studied more than one systemic disease outcome (69, 70, 73, 76). Physical measures, such as BMI, blood samples, and clinical exams, were used to assess 60% of systemic disease outcomes (67, 68, 72, 75, 7781), while self-report questionnaires, standardized assessment scales, and interviews were used in 40% of studies (6971, 73, 74, 76).

Periodontal disease including gingival bleeding and clinical attachment loss were most commonly studied in relation to depression (69, 71, 74, 78) and diabetes (68, 72, 75). Self-reported oral health, dental caries and tooth loss were also studied in relation to heart disease (70, 7678), diabetes (67, 68, 70, 76, 80) and depression (74, 78). Burning mouth syndrome was assessed in relation to depression (73). One study used only self-report questionnaires to assess both oral and systemic health outcomes (76), seven used only clinical examinations (67, 68, 72, 75, 7981), and seven used a combination of self-report questionnaires and clinical exams (6971, 73, 74, 77, 78) to assess oral and systemic health outcomes.

3.3 Psychosocial stress in oral and systemic diseases

Twelve articles (80%) included in this review measured stress psychometrically, investigating its association with oral and systemic diseases (6778). Psychometric stress variables fell into four main categories: “perceived stress”, “lifestyle or individual behaviour”, and “childhood adversity”. Of the articles that assessed perceived stress (6774), two studies employed Cohen's Perceived Stress Scale (PSS) (71, 72), one used the Depression, Anxiety and Stress Scale (DASS) (73), and one study used the Derogatis Stress Profile (DSP) (74). The remaining four perceived stress studies (6770) interviewed participants, either in person or using questionnaires, with questions pertaining to experiencing life stress, such as “Have you ever been told by a doctor or other health professional that you had an anxiety or stress disorder?”. Lifestyle or individual behaviours were measured using questionnaires that focused on living conditions and behaviours and included questions on smoking, alcohol consumption, diet, distress, financial stress, etc. (7577). Finally, childhood adversity was assessed in a cohort study using socioeconomic disadvantage in childhood (78).

Eight articles (53%) concluded that perceived life stress was higher in individuals with both oral and systemic disease outcomes (6774). Higher prevalence of depression and perceived stress were found in both burning mouth syndrome (73) and periodontal disease (71, 74). Perceived stress was also found to be higher in individuals with both periodontal disease and diabetes when compared to healthy controls (68, 72). Participants with heart disease experienced greater psychosocial stress and demonstrated increased risk for periodontitis (69). Individuals with emotional distress and heart disease had a higher risk of developing dental caries (70). However, one study found no evidence for an association between psychological stress, depression, and periodontitis (73).

Poor living conditions, such as low income and food insecurity, increased the odds of the co-occurrence of oral-systemic disease (76), and negative lifestyle was associated with poor gingival health in diabetic patients (75) and increased the odds of tooth loss in coronary heart disease patients (77).

Only one study explored the association between childhood adversity and adult health (78). As part of a longitudinal cohort, health and behaviour of participants was assessed from birth until 26 years old (78). In this study, researchers found that children who grew up in families of lower socioeconomic backgrounds were at a greater risk of having poor cardiovascular health, depression, and periodontal disease in adulthood (78). However, we did not identify studies using an adverse childhood experiences (ACEs) score in association with oral and systemic diseases.

3.4 Biomarkers of psychosocial stress in the oral-systemic health connection

Biomarkers of psychosocial stress were used in five studies (33%), with four studies (26%) finding a positive association between stress and oral and systemic diseases (72, 74, 7981). Psychosocial stress was measured biologically using cortisol in salivary samples. Although other biomarkers of psychosocial stress were included in the search strategy, namely ACTH and brain-derived neurotrophic factor (BDNF), no studies assessing their association to oral-systemic health link were identified.

Salivary cortisol was correlated with greater clinical attachment loss, tooth loss, and periodontal disease in individuals with depression (74). Another study concluded that clinical attachment loss and mean cortisol levels were highest in individuals with both periodontitis and diabetes (72). A third article reported that salivary cortisol and DMFT (decayed, missing, and filled teeth) scores were higher in diabetic patients, and also found an association between salivary cortisol and the DMFT index (80).

The role of cortisol in periodontal disease severity among people with schizophrenia was not supported; although there were significantly higher values of periodontal disease parameters in people with schizophrenia, cortisol levels were much lower in cases compared to healthy controls (79). However, in individuals with Alzheimer's disease, higher cortisol levels and poorer oral health indicators were present compared to those with subjective cognitive decline or mild cognitive impairment (81).

4 Discussion

The aim of this scoping review was to map and identify gaps in the literature relating to the role of psychosocial factors in the co-occurrence of oral and systemic health conditions in the adult population. This review included a total of fifteen original research articles and focused on a range of both psychometric and biological measures of psychosocial stress. Among the psychometric indicators of stress were perceived stress, living conditions and lifestyle factors, and childhood adversity, in addition to biological measures of psychosocial stress using cortisol. The findings of the present review demonstrate an overall positive association between indicators of psychosocial stress with oral and systemic diseases, where higher levels of psychosocial stress were associated with a greater risk of both groups of conditions.

Previous research has identified stress as a premorbid factor associated with many risk factors for chronic disease (82, 83). Stress can stem from external events, such as major stressful life events or minor daily stressors, or from one's own perception of those experiences (84). Resilience and coping mechanisms aid in controlling emotions and changing the interaction between the person and the stressor, which reduces the stressor's physiologic effects (8486). Adverse psychosocial factors in early childhood may also contribute to higher susceptibility to maladaptive stress responses that may manifest in adulthood since it can be imprinted on the developing brain (87, 88). For example, individuals who experience chronic stress as children often have a higher prevalence of systemic illnesses as adults, including heart disease (89) and autoimmune diseases (90). Despite the evidence on the crucial role of negative exposures in childhood on the risk of chronic disease later in life, we identified only one study that investigated the impact of psychosocial factors in childhood on oral health in relation to cardiovascular health and depression, thereby indicating a possible knowledge gap in this area.

We found the majority of studies included in this review assessed psychosocial stress in adults using psychometric measures. Exposure to psychosocial stress through various factors, including precarious social and living conditions in adulthood, takes a significant toll on biological mechanisms that are known to contribute to increased risk for oral and systemic health conditions. Our findings agree with other studies investigating the role of psychosocial stress in health outcomes. For example, low job control has been linked to an increased risk of all-cause and coronary heart disease mortality (91). Similarly, other factors, such as life satisfaction and social isolation, have been associated with a higher risk of stroke and transient ischemic attacks (92). On the contrary, social support has been found to be protective against dental pain (93), while individuals with greater perceived stress are more likely to report poor oral health (94).

In addition to psychometric measures of psychosocial stress, this review also investigated the association of the stress hormone cortisol as a biologic indicator of psychosocial stress with oral and systemic health. It is well established that higher levels of serum cortisol may be associated with psychosocial factors due to activation of the HPA axis (9597). Cortisol is also engaged in additional long-term stress-related changes, such as regulating a number of physiological systems, including immunological responsiveness, in addition to short-term adaptive alterations. While it is normal for cortisol levels to fluctuate and remain elevated at specific times of the day (e.g., in the morning), when cortisol levels are persistently high throughout the day, this can be reflective of a the HPA axis hyperactivity (96, 97). In this review, we found the majority of the studies investigating the role of cortisol to support its association with both oral and systemic diseases. Examining other biomarkers that may be sensitive to the stress response can also provide new insights into the role of psychosocial stress in the development and progression of the oral-systemic disease link.

4.1 Strengths and limitations

The present study included fifteen observational studies from several countries reporting data of more than 50,000 participants with numerous psychometric and biological measures of psychosocial stress. Our review is the first to assess the role of psychosocial stress in oral and systemic disease conditions on a large scale while using both psychometric and biological measures of stress. This was done by following a systematic method for retrieving and analyzing the studies included in this scoping review. However, limitations of this study also exist. First, as our review included only studies published in English, we may have omitted relevant research written in other languages. Our results are also not reflective of the impact of psychosocial stress on oral and systemic health in children as this age group was excluded from our search strategy. However, with the exception of neurodevelopmental problems, systemic diseases are more common in adults and therefore including children may not have significantly altered our results. Future research and reviews should investigate the impact of psychosocial stress on oral and systemic health in the pediatric population.

5 Conclusion

Findings from the current scoping review suggest that biopsychosocial factors, as measured by psychometric and biological indicators, contribute to oral and systemic diseases. As an increasing proportion of the population grows older, it is integral to take a multidisciplinary approach to addressing social determinants of health, such as psychosocial stress, that contribute to disease. Our findings highlight the need to develop policies enhancing the common risk factors that lie within social and living conditions to mitigate the impact of oral-systemic disease in the population.

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

AH: Conceptualization, Data curation, Formal Analysis, Investigation, Methodology, Project administration, Writing – original draft, Writing – review & editing. KN: Writing – review & editing. KA: Supervision, Writing – review & editing. NG: Conceptualization, Formal Analysis, Investigation, Supervision, Writing – review & editing.

Funding

The author(s) declare that no financial support was received for the research, authorship, and/or publication of this article.

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/froh.2024.1378467/full#supplementary-material

References

1. Jin L, Lamster I, Greenspan J, Pitts N, Scully C, Warnakulasuriya S. Global burden of oral diseases: emerging concepts, management and interplay with systemic health. Oral Dis. (2016) 22(7):609–19. doi: 10.1111/odi.12428

PubMed Abstract | Crossref Full Text | Google Scholar

2. Kane SF. The effects of oral health on systemic health. Gen Dent. (2017) 65:30–4. PMID: 29099363.29099363

PubMed Abstract | Google Scholar

3. Raber-Durlacher JE, Epstein JB, Touger-Decker R, van der Molen L. Bidirectional associations between oral and systemic health. In: Touger-Decker R, Mobley C, Epstein JB, editors. Nutrition and Oral Medicine. New York, NY: Springer (2014). p. 65–82. Available online at: https://doi.org/10.1007/978-1-60761-490-6_5 (cited April 26, 2024).

Google Scholar

4. Alpert PT. Oral health: the oral-systemic health connection. Home Health Care Manag Pract. (2017) 29(1):56–9. doi: 10.1177/1084822316651658

Crossref Full Text | Google Scholar

5. Graham D. Focal infection. Can Med Assoc J. (1931) 25(4):422–4.20318466

PubMed Abstract | Google Scholar

6. Miller W. The human mouth as a focus of infection. Dental Cosmos. (1891) 33:689–713.

Google Scholar

7. Mattila KJ, Nieminen MS, Valtonen VV, Rasi VP, Kesäniemi YA, Syrjälä SL, et al. Association between dental health and acute myocardial infarction. Br Med J. (1989) 298(6676):779–81. doi: 10.1136/bmj.298.6676.779

Crossref Full Text | Google Scholar

8. Rydén L, Buhlin K, Ekstrand E, de Faire U, Gustafsson A, Holmer J, et al. Periodontitis increases the risk of a first myocardial infarction. Circulation. (2016) 133(6):576–83. doi: 10.1161/CIRCULATIONAHA.115.020324

Crossref Full Text | Google Scholar

9. Bokhari SAH, Khan AA, Butt AK, Azhar M, Hanif M, Izhar M, et al. Non-surgical periodontal therapy reduces coronary heart disease risk markers: a randomized controlled trial. J Clin Periodontol. (2012) 39(11):1065–74. doi: 10.1111/j.1600-051X.2012.01942.x

PubMed Abstract | Crossref Full Text | Google Scholar

10. Pihlstrom BL, Michalowicz BS, Johnson NW. Periodontal diseases. Lancet. (2005) 366(9499):1809–20. doi: 10.1016/S0140-6736(05)67728-8

PubMed Abstract | Crossref Full Text | Google Scholar

11. Kuo LC, Polson AM, Kang T. Associations between periodontal diseases and systemic diseases: a review of the inter-relationships and interactions with diabetes, respiratory diseases, cardiovascular diseases and osteoporosis. Public Health. (2008) 122(4):417–33. doi: 10.1016/j.puhe.2007.07.004

PubMed Abstract | Crossref Full Text | Google Scholar

12. Stanko P, Izakovicova Holla L. Bidirectional association between diabetes mellitus and inflammatory periodontal disease. A review. Biomed Pap Med Fac Univ Palacky Olomouc Czech Repub. (2014) 158(1):035–8. doi: 10.5507/bp.2014.005

Crossref Full Text | Google Scholar

13. Cerutti-Kopplin D, Feine J, Padilha DM, de Souza RF, Ahmadi M, Rompré P, et al. Tooth loss increases the risk of diminished cognitive function: a systematic review and meta-analysis. JDR Clin Transl Res. (2016) 1(1):10–9. doi: 10.1177/2380084416633102

Crossref Full Text | Google Scholar

14. Galindo-Moreno P, Lopez-Chaichio L, Padial-Molina M, Avila-Ortiz G, O’Valle F, Ravida A, et al. The impact of tooth loss on cognitive function. Clin Oral Invest. (2022) 26(4):3493–500. doi: 10.1007/s00784-021-04318-4

Crossref Full Text | Google Scholar

15. Liang A, Gomaa N. Social capital associates with better cognitive health, oral health and epigenetic age deceleration: findings from the Canadian longitudinal study on aging. Int J Aging Hum Dev. (2023):914150231208689. doi: 10.1177/00914150231208689

PubMed Abstract | Crossref Full Text | Google Scholar

16. Sabbagh HJ, Abdelaziz W, Quritum M, AlKhateeb NA, Abourdan J, Qureshi N, et al. Cigarettes' use and capabilities-opportunities-motivation-for-behavior model: a multi-country survey of adolescents and young adults. Front Public Health. (2022) 10:875801. doi: 10.3389/fpubh.2022.875801

PubMed Abstract | Crossref Full Text | Google Scholar

17. Rocca E, Anjum RL. Complexity, reductionism and the biomedical model. In: Anjum RL, Copeland S, Rocca E, editors. Rethinking Causality, Complexity and Evidence for the Unique Patient: A CauseHealth Resource for Healthcare Professionals and the Clinical Encounter. Cham: Springer International Publishing (2020). p. 75–94. Available online at: https://doi.org/10.1007/978-3-030-41239-5_5 (cited June 21, 2023).

Google Scholar

18. Wade DT, Halligan PW. The biopsychosocial model of illness: a model whose time has come. Clin Rehabil. (2017) 31(8):995–1004. doi: 10.1177/0269215517709890

PubMed Abstract | Crossref Full Text | Google Scholar

19. Boorse C. Health as a theoretical concept. Philos Sci. (1977) 44(4):542–73. doi: 10.1086/288768

Crossref Full Text | Google Scholar

20. Strickland CM, Patrick CJ. Biomedical model. In: Cautin RL, Lilienfeld SO, editors. The Encyclopedia of Clinical Psychology. John Wiley & Sons, Ltd (2015). p. 1–3. doi: 10.1002/9781118625392.wbecp476

Google Scholar

21. Phelan JC, Link BG. Fundamental cause theory. In: Cockerham WC, editors. Medical Sociology on the Move: New Directions in Theory. Dordrecht: Springer Netherlands (2013). p. 105–25. Available online at: https://doi.org/10.1007/978-94-007-6193-3_6 (cited July 6, 2023).

Google Scholar

22. Tyreman S. How to work with the anthropo-ecological narrative in clinical use. In: Mayer J, Standen C, editors. Textbook of Osteopathic Medicine. Munich: Elsevier (2018). p. 277–83.

Google Scholar

23. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. (1977) 196(4286):129–36. doi: 10.1126/science.847460

PubMed Abstract | Crossref Full Text | Google Scholar

24. Engel GL. The clinical application of the biopsychosocial model. J Med Philos. (1981) 6(2):101–24. doi: 10.1093/jmp/6.2.101

PubMed Abstract | Crossref Full Text | Google Scholar

25. Gomaa N, Tenenbaum H, Glogauer M, Quiñonez C. The biology of social adversity applied to oral health. J Dent Res. (2019) 98(13):1442–9. doi: 10.1177/0022034519876559

PubMed Abstract | Crossref Full Text | Google Scholar

26. Gomaa N. Social epigenomics: conceptualizations and considerations for oral health. J Dent Res. (2022) 101(11):1299–306. doi: 10.1177/00220345221110196

PubMed Abstract | Crossref Full Text | Google Scholar

27. Gomaa N, Glogauer M, Nicolau B, Tenenbaum H, Siddiqi A, Fine N, et al. Stressed-out oral immunity: a gateway from socioeconomic adversity to periodontal disease. Psychosom Med. (2020) 82(2):126. doi: 10.1097/PSY.0000000000000774

PubMed Abstract | Crossref Full Text | Google Scholar

28. Borrell-Carrió F, Suchman AL, Epstein RM. The biopsychosocial model 25 years later: principles, practice, and scientific inquiry. Ann Fam Med. (2004) 2(6):576–82. doi: 10.1370/afm.245

Crossref Full Text | Google Scholar

29. Gomaa N, Glogauer M, Tenenbaum H, Siddiqi A, Quiñonez C. Social-biological interactions in oral disease: a ‘cells to society’ view. PLoS One. (2016) 11(1):e0146218. doi: 10.1371/journal.pone.0146218

PubMed Abstract | Crossref Full Text | Google Scholar

30. Sheiham A, Watt RG. The common risk factor approach: a rational basis for promoting oral health. Community Dent Oral Epidemiol. (2000) 28(6):399–406. doi: 10.1034/j.1600-0528.2000.028006399.x

PubMed Abstract | Crossref Full Text | Google Scholar

31. American Psychological Association. Psychosocial stressor. APA dictionary of Psychology (n.d.). Available online at: https://dictionary.apa.org/psychosocial-stressor (retrieved March 3, 2022).

Google Scholar

32. Smith SM, Vale WW. The role of the hypothalamic-pituitary-adrenal axis in neuroendocrine responses to stress. Dialogues Clin Neurosci. (2006) 8(4):383–95. doi: 10.31887/DCNS.2006.8.4/ssmith

PubMed Abstract | Crossref Full Text | Google Scholar

33. Herman JP, McKlveen JM, Ghosal S, Kopp B, Wulsin A, Makinson R, et al. Regulation of the hypothalamic-pituitary-adrenocortical stress response. Compr Physiol. (2016) 6(2):603–21. doi: 10.1002/cphy.c150015

PubMed Abstract | Crossref Full Text | Google Scholar

34. de Kloet ER, Joëls M, Holsboer F. Stress and the brain: from adaptation to disease. Nat Rev Neurosci. (2005) 6(6):463–75. doi: 10.1038/nrn1683

PubMed Abstract | Crossref Full Text | Google Scholar

35. Faravelli C, Lo Sauro C, Godini L, Lelli L, Benni L, Pietrini F, et al. Childhood stressful events, HPA axis and anxiety disorders. World J Psychiatry. (2012) 2(1):13–25. doi: 10.5498/wjp.v2.i1.13

PubMed Abstract | Crossref Full Text | Google Scholar

36. Kaufman E, Lamster IB. Analysis of saliva for periodontal diagnosis. J Clin Periodontol. (2000) 27(7):453–65. doi: 10.1034/j.1600-051x.2000.027007453.x

PubMed Abstract | Crossref Full Text | Google Scholar

37. Glassman AH, Miller GE. Where there is depression, there is inflammation․․․Sometimes!. Biol Psychiatry. (2007) 62(4):280–1. doi: 10.1016/j.biopsych.2007.05.032

PubMed Abstract | Crossref Full Text | Google Scholar

38. Bunea IM, Szentágotai-Tătar A, Miu AC. Early-life adversity and cortisol response to social stress: a meta-analysis. Transl Psychiatry. (2017) 7(12):1–8. doi: 10.1038/s41398-017-0032-3

Crossref Full Text | Google Scholar

39. Carr CP, Martins CMS, Stingel AM, Lemgruber VB, Juruena MF. The role of early life stress in adult psychiatric disorders: a systematic review according to childhood trauma subtypes. J Nerv Ment Dis. (2013) 201(12):1007. doi: 10.1097/NMD.0000000000000049

PubMed Abstract | Crossref Full Text | Google Scholar

40. Harris AP, Holmes MC, de Kloet ER, Chapman KE, Seckl JR. Mineralocorticoid and glucocorticoid receptor balance in control of HPA axis and behaviour. Psychoneuroendocrinology. (2013) 38(5):648–58. doi: 10.1016/j.psyneuen.2012.08.007

PubMed Abstract | Crossref Full Text | Google Scholar

41. Keller J, Gomez R, Williams G, Lembke A, Lazzeroni L, Murphy GM, et al. HPA Axis in major depression: cortisol, clinical symptomatology and genetic variation predict cognition. Mol Psychiatry. (2017) 22(4):527–36. doi: 10.1038/mp.2016.120

PubMed Abstract | Crossref Full Text | Google Scholar

42. Pariante CM, Lightman SL. The HPA axis in major depression: classical theories and new developments. Trends Neurosci. (2008) 31(9):464–8. doi: 10.1016/j.tins.2008.06.006

PubMed Abstract | Crossref Full Text | Google Scholar

43. de Tofoli SMC, Baes CVW, Martins CMS, Juruena M. Early life stress, HPA axis, and depression. Psychol Neurosci. (2011) 4:229–34. doi: 10.3922/j.psns.2011.2.008

Crossref Full Text | Google Scholar

44. Slopen N, Kontos EZ, Ryff CD, Ayanian JZ, Albert MA, Williams DR. Psychosocial stress and cigarette smoking persistence, cessation, and relapse over 9–10 years: a prospective study of middle-aged adults in the United States. Cancer Causes Control. (2013) 24(10):1849–63. doi: 10.1007/s10552-013-0262-5

PubMed Abstract | Crossref Full Text | Google Scholar

45. Block JP, He Y, Zaslavsky AM, Ding L, Ayanian JZ. Psychosocial stress and change in weight among US adults. Am J Epidemiol. (2009) 170(2):181–92. doi: 10.1093/aje/kwp104

PubMed Abstract | Crossref Full Text | Google Scholar

46. Kye S, Park K. Psychosocial factors and health behavior among Korean adults: a cross-sectional study. Asian Pac J Cancer Prev. (2012) 13(1):49–56. doi: 10.7314/APJCP.2012.13.1.049

PubMed Abstract | Crossref Full Text | Google Scholar

47. Austregésilo SC, de Goes PSA, de Sena Júnior MR, Pazos CTC. Clustering of oral and general health risk behaviors among adolescents. Prev Med Rep. (2019) 15:100936. doi: 10.1016/j.pmedr.2019.100936

Crossref Full Text | Google Scholar

48. Richards JM, Stipelman BA, Bornovalova MA, Daughters SB, Sinha R, Lejuez CW. Biological mechanisms underlying the relationship between stress and smoking: state of the science and directions for future work. Biol Psychol. (2011) 88(1):1–12. doi: 10.1016/j.biopsycho.2011.06.009

PubMed Abstract | Crossref Full Text | Google Scholar

49. Buwalda B, Kole MHP, Veenema AH, Huininga M, de Boer SF, Korte SM, et al. Long-term effects of social stress on brain and behavior: a focus on hippocampal functioning. Neurosci Biobehav Rev. (2005) 29(1):83–97. doi: 10.1016/j.neubiorev.2004.05.005

PubMed Abstract | Crossref Full Text | Google Scholar

50. Borgnakke WS. Modifiable risk factors for periodontitis and diabetes. Curr Oral Health Rep. (2016) 3(3):254–69. doi: 10.1007/s40496-016-0099-6

Crossref Full Text | Google Scholar

51. Heidari Pahlavian A, Gharakhani M, Mahjub H. A comparative study of stressful life events and stress coping strategies in coronary heart disease patients and non-patients. Avicenna J Clin Med. (2010) 17(3):33–8.

Google Scholar

52. O’Donnell K, Badrick E, Kumari M, Steptoe A. Psychological coping styles and cortisol over the day in healthy older adults. Psychoneuroendocrinology. (2008) 33(5):601–11. doi: 10.1016/j.psyneuen.2008.01.015

Crossref Full Text | Google Scholar

53. Lyu J, Agrigoroaei S. Childhood misfortune and adult health in a national study: the mediational role of the quality of social relations. Int J Aging Hum Dev. (2017) 84(3):213–30. doi: 10.1177/0091415016669147

PubMed Abstract | Crossref Full Text | Google Scholar

54. Jones NL, Gilman SE, Cheng TL, Drury SS, Hill CV, Geronimus AT. Life course approaches to the causes of health disparities. Am J Public Health. (2019) 109(S1):S48–55. doi: 10.2105/AJPH.2018.304738

PubMed Abstract | Crossref Full Text | Google Scholar

55. Heim C, Newport DJ, Mletzko T, Miller AH, Nemeroff CB. The link between childhood trauma and depression: insights from HPA axis studies in humans. Psychoneuroendocrinology. (2008) 33(6):693–710. doi: 10.1016/j.psyneuen.2008.03.008

PubMed Abstract | Crossref Full Text | Google Scholar

56. Taylor SE, Karlamangla AS, Friedman EM, Seeman TE. Early environment affects neuroendocrine regulation in adulthood. Soc Cogn Affect Neurosci. (2011) 6(2):244–51. doi: 10.1093/scan/nsq037

PubMed Abstract | Crossref Full Text | Google Scholar

57. Kalmakis KA, Meyer JS, Chiodo L, Leung K. Adverse childhood experiences and chronic hypothalamic–pituitary–adrenal activity. Stress. (2015) 18(4):446–50. doi: 10.3109/10253890.2015.1023791

PubMed Abstract | Crossref Full Text | Google Scholar

58. Barker DJP. The developmental origins of adult disease. J Am Coll Nutr. (2004) 23(S6):588S–95S. doi: 10.1080/07315724.2004.10719428

PubMed Abstract | Crossref Full Text | Google Scholar

59. Sartori LRM, Pereira DH, Baker SR, Correa MB. Association between adverse childhood experiences and oral health in adulthood: a systematic scoping review. J Fam Viol. (2022) 83(2):169–76. doi: 10.1007/s10896-022-00470-x

Crossref Full Text | Google Scholar

60. Deschênes SS, Graham E, Kivimäki M, Schmitz N. Adverse childhood experiences and the risk of diabetes: examining the roles of depressive symptoms and cardiometabolic dysregulations in the Whitehall II Cohort Study. Diabetes Care. (2018) 41(10):2120–6. doi: 10.2337/dc18-0932

Crossref Full Text | Google Scholar

61. Felitti VJ, Anda RF, Nordenberg D, Williamson DF, Spitz AM, Edwards V, et al. Relationship of childhood abuse and household dysfunction to many of the leading causes of death in adults: the Adverse Childhood Experiences (ACE) Study. Am J Prev Med. (1998) 14(4):245–58. doi: 10.1016/S0749-3797(98)00017-8

PubMed Abstract | Crossref Full Text | Google Scholar

62. Suglia SF, Sapra KJ, Koenen KC. Violence and cardiovascular health: a systematic review. Am J Prev Med. (2015) 48(2):205–12. doi: 10.1016/j.amepre.2014.09.013

PubMed Abstract | Crossref Full Text | Google Scholar

63. Dong M, Giles WH, Felitti VJ, Dube SR, Williams JE, Chapman DP, et al. Insights into causal pathways for ischemic heart disease. Circulation. (2004) 110(13):1761–6. doi: 10.1161/01.CIR.0000143074.54995.7F

PubMed Abstract | Crossref Full Text | Google Scholar

64. Arksey H, O’Malley L. Scoping studies: towards a methodological framework. Int J Soc Res Methodol. (2005) 8(1):19–32. doi: 10.1080/1364557032000119616

Crossref Full Text | Google Scholar

65. Tricco AC, Lillie E, Zarin W, O’Brien KK, Colquhoun H, Levac D, et al. PRISMA extension for scoping reviews (PRISMA-ScR): checklist and explanation. Ann Intern Med. (2018) 169(7):467–73. doi: 10.7326/M18-0850

PubMed Abstract | Crossref Full Text | Google Scholar

66. Varin M, Baker M, Palladino E, Lary T. At-a-glance—canadian chronic disease indicators, 2019—updating the data and taking into account mental health. Health Promot Chronic Dis Prev Can. (2019) 39(10):281–8. doi: 10.24095/hpcdp.39.10.02

PubMed Abstract | Crossref Full Text | Google Scholar

67. Albright JW, Woo PH, Ji S, Sun B, Lang K, Albright JF. Synergism between obesity and poor oral health associated with diabetes in an elderly human population. Southeast Asian J Trop Med Public Health. (2013) 44(2):318–31. PMID: 23691642.23691642

PubMed Abstract | Google Scholar

68. Cinar AB, Schou L. Health promotion for patients with diabetes: health coaching or formal health education? Int Dent J. (2014) 64(1):20–8. doi: 10.1111/idj.12058

Crossref Full Text | Google Scholar

69. Kjellström B, Gustafsson A, Nordendal E, Norhammar A, Nygren Å, Näsman P, et al. Symptoms of depression and their relation to myocardial infarction and periodontitis. Eur J Cardiovasc Nurs. (2017) 16(6):468–74. doi: 10.1177/1474515116686462

Crossref Full Text | Google Scholar

70. Lim S, Tellez M, Ismail AI. Emotional distress and risk of dental caries: evaluating effect modification by chronic conditions among low-income African American caregivers in Detroit, Michigan. Front Public Health. (2023) 11:1050511. doi: 10.3389/fpubh.2023.1050511

PubMed Abstract | Crossref Full Text | Google Scholar

71. Monteiro da Silva AM, Oakley DA, Newman HN, Nohl FS, Lloyd HM. Psychosocial factors and adult onset rapidly progressive periodontitis. J Clin Periodontol. (1996) 23(8):789–94. doi: 10.1111/j.1600-051X.1996.tb00611.x

PubMed Abstract | Crossref Full Text | Google Scholar

72. Rajhans N, Byakod G, Kumar R, Sable D. Assessment of psychological stress and serum cortisolin patients having chronic periodontitis with and without type II diabetes mellitus: a clinicobiochemical study. World J Dent. (2017) 8(5):378–81. doi: 10.5005/jp-journals-10015-1469

Crossref Full Text | Google Scholar

73. Rezazadeh F, Farahmand F, Hosseinpour H, Shahriarirad R, Sabet Eghlidi A. The association between emotional stress, sleep disturbance, depression, and burning mouth syndrome. BioMed Res Int. (2021) 2021:e5555316. doi: 10.1155/2021/5555316

Crossref Full Text | Google Scholar

74. Rosania AE, Low KG, McCormick CM, Rosania DA. Stress, depression, cortisol, and periodontal disease. J Periodontol. (2009) 80(2):260–6. doi: 10.1902/jop.2009.080334

PubMed Abstract | Crossref Full Text | Google Scholar

75. Negishi J, Kawanami M, Terada Y, Matsuhashi C, Ogami E, Iwasaka K, et al. Effect of lifestyle on periodontal disease status in diabetic patients. J Int Acad Periodontol. (2004) 6:120–4. PMID: 15553978.15553978

PubMed Abstract | Google Scholar

76. Parbhakar K, Farmer JW, Quiñonez C. The influence of living conditions and individual behaviors on the oral-systemic disease connection: a cross-sectional analysis. J Public Health Dent. (2022) 82(2):220–8. doi: 10.1111/jphd.12455

PubMed Abstract | Crossref Full Text | Google Scholar

77. Vedin O, Hagström E, Gallup D, Neely ML, Stewart R, Koenig W, et al. Periodontal disease in patients with chronic coronary heart disease: prevalence and association with cardiovascular risk factors. Eur J Prev Cardiol. (2015) 22(6):771–8. doi: 10.1177/2047487314530660

PubMed Abstract | Crossref Full Text | Google Scholar

78. Poulton R, Caspi A, Milne BJ, Thomson WM, Taylor A, Sears MR, et al. Association between children’s experience of socioeconomic disadvantage and adult health: a life-course study. Lancet. (2002) 360(9346):1640–5. doi: 10.1016/S0140-6736(02)11602-3

PubMed Abstract | Crossref Full Text | Google Scholar

79. Albahli BF, Alrasheed NM, Alabdulrazaq RS, Alasmari DS, Ahmed MM. Association between schizophrenia and periodontal disease in relation to cortisol levels: an ELISA-based descriptive analysis. Egyptian J Neurol Psychiatry Neurosurg. (2021) 57(1):168. doi: 10.1186/s41983-021-00423-z

Crossref Full Text | Google Scholar

80. Salehi M, Mesgarani A, Karimipour S, Pasha SZ, Kashi Z, Abedian S, et al. Comparison of salivary cortisol level in type 2 diabetic patients and pre-diabetics with healthy people. Open Access Maced J Med Sci. (2019) 7(14):2321–7. doi: 10.3889/oamjms.2019.340

PubMed Abstract | Crossref Full Text | Google Scholar

81. Yang B, Tao B, Yin Q, Chai Z, Xu L, Zhao Q, et al. Associations between oral health status, perceived stress, and neuropsychiatric symptoms among community individuals with Alzheimer's disease: a mediation analysis. Front Aging Neurosci. (2022) 13:801209. doi: 10.3389/fnagi.2021.801209

PubMed Abstract | Crossref Full Text | Google Scholar

82. Lee DY, Kim E, Choi MH. Technical and clinical aspects of cortisol as a biochemical marker of chronic stress. BMB Rep. (2015) 48(4):209–16. doi: 10.5483/BMBRep.2015.48.4.275

PubMed Abstract | Crossref Full Text | Google Scholar

83. Hensel ALJ, Gomaa N. Social and economic capital as effect modifiers of the association between psychosocial stress and oral health. PLoS One. (2023) 18(5):e0286006. doi: 10.1371/journal.pone.0286006

PubMed Abstract | Crossref Full Text | Google Scholar

84. Spector AM, Postolache TT, Akram F, Scott AJ, Wadhawan A, Reynolds MA. Psychological stress: a predisposing and exacerbating factor in periodontitis. Curr Oral Health Rep. (2020) 7(3):208–15. doi: 10.1007/s40496-020-00282-2

Crossref Full Text | Google Scholar

85. Folkman S, Lazarus RS, Dunkel-Schetter C, DeLongis A, Gruen RJ. Dynamics of a stressful encounter: cognitive appraisal, coping, and encounter outcomes. J Pers Soc Psychol. (1986) 50:992–1003. doi: 10.1037/0022-3514.50.5.992

PubMed Abstract | Crossref Full Text | Google Scholar

86. Tugade M, Fredrickson B. Regulation of positive emotions: emotion regulation strategies that promote resilience. J Happiness Stud. (2007) 8:311–33. doi: 10.1007/s10902-006-9015-4

Crossref Full Text | Google Scholar

87. Danese A, Lewis S. Psychoneuroimmunology of early-life stress: the hidden wounds of childhood trauma? Neuropsychopharmacol. (2017) 42(1):99–114. doi: 10.1038/npp.2016.198

Crossref Full Text | Google Scholar

88. Gomaa N, Konwar C, Gladish N, Au-Young SH, Guo T, Sheng M, et al. Association of pediatric buccal epigenetic age acceleration with adverse neonatal brain growth and neurodevelopmental outcomes among children born very preterm with a neonatal infection. JAMA Network Open. (2022) 5(11):e2239796. doi: 10.1001/jamanetworkopen.2022.39796

PubMed Abstract | Crossref Full Text | Google Scholar

89. Bengtsson J, Elsenburg LK, Andersen GS, Larsen ML, Rieckmann A, Rod NH. Childhood adversity and cardiovascular disease in early adulthood: a Danish cohort study. Eur Heart J. (2023) 44(7):586–93. doi: 10.1093/eurheartj/ehac607

PubMed Abstract | Crossref Full Text | Google Scholar

90. Dube SR, Fairweather D, Pearson WS, Felitti VJ, Anda RF, Croft JB. Cumulative childhood stress and autoimmune diseases in adults. Psychosom Med. (2009) 71(2):243–50. doi: 10.1097/PSY.0b013e3181907888

PubMed Abstract | Crossref Full Text | Google Scholar

91. Taouk Y, Spittal MJ, LaMontagne AD, Milner AJ. Psychosocial work stressors and risk of all-cause and coronary heart disease mortality: a systematic review and meta-analysis. Scand J Work Environ Health. (2020) 46(1):19–31. doi: 10.5271/sjweh.3854

PubMed Abstract | Crossref Full Text | Google Scholar

92. Graber M, Baptiste L, Mohr S, Blanc-Labarre C, Dupont G, Giroud M, et al. A review of psychosocial factors and stroke: a new public health problem. Rev Neurol. (2019) 175(10):686–92. doi: 10.1016/j.neurol.2019.02.001

PubMed Abstract | Crossref Full Text | Google Scholar

93. de Alvarenga MGJ, Rebelo MAB, de Lamarca GA, de Paula JS, Vettore MV. The influence of protective psychosocial factors on the incidence of dental pain. Rev Saúde Pública. (2022) 56:67. doi: 10.11606/s1518-8787.2022056004061

Crossref Full Text | Google Scholar

94. Vasiliou A, Shankardass K, Nisenbaum R, Quiñonez C. Current stress and poor oral health. BMC Oral Health. (2016) 16(1):88. doi: 10.1186/s12903-016-0284-y

PubMed Abstract | Crossref Full Text | Google Scholar

95. Kudielka BM, Wüst S. Human models in acute and chronic stress: assessing determinants of individual hypothalamus–pituitary–adrenal axis activity and reactivity. Stress. (2010) 13(1):1–14. doi: 10.3109/10253890902874913

PubMed Abstract | Crossref Full Text | Google Scholar

96. Nater UM, Skoluda N, Strahler J. Biomarkers of stress in behavioural medicine. Curr Opin Psychiatry. (2013) 26(5):440. doi: 10.1097/YCO.0b013e328363b4ed

PubMed Abstract | Crossref Full Text | Google Scholar

97. Noushad S, Ahmed S, Ansari B, Mustafa UH, Saleem Y, Hazrat H. Physiological biomarkers of chronic stress: a systematic review. Int J Health Sci. (2021) 15(5):46–59. PMID: 34548863.

Google Scholar

Keywords: psychological stress, oral disease, systemic disease, psychosocial factors, cortisol, aging, lifespan, biopsychosocial factors

Citation: Hensel ALJ, Nicholson K, Anderson KK and Gomaa NA (2024) Biopsychosocial factors in oral and systemic diseases: a scoping review. Front. Oral. Health 5:1378467. doi: 10.3389/froh.2024.1378467

Received: 29 January 2024; Accepted: 15 May 2024;
Published: 30 May 2024.

Edited by:

Arheiam Arheiam, University of Benghazi, Libya

Reviewed by:

Marwa Baraka, Alexandria University, Egypt
Abiola Adeniyi, Fairleigh Dickinson University, Canada
Morenike Oluwatoyin Folayan, Nigerian Institute of Medical Research (NIMR), Nigeria

© 2024 Hensel, Nicholson, Anderson and Gomaa. 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: Abby L. J. Hensel, ahensel@uwo.ca

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