Figures
Abstract
Background
Accumulated evidence suggests a weak positive relationship between psychosocial stress and body mass index (BMI), but little is known about stress coping strategies and BMI.
Objective
We aimed to examine if perceived stress and coping strategies are related to BMI, with any of their mutual interactions on BMI.
Methods
This cross-sectional study included 5,063 men and 6,982 women aged 40-69 years. A self-administered questionnaire ascertained perceived stress and 5 items of coping strategies (emotion expression, emotional support seeking, positive reappraisal, problem solving, and disengagement). Analyses were performed by gender with adjustment for age, socioeconomic status, and lifestyle factors.
Results
No significant associations were detected between perceived stress and BMI in either men (Ptrend = 0.09) or women (Ptrend = 0.58). In men, however, ‘disengagement’ showed an inverse association with BMI (Ptrend < 0.001), and ‘positive reappraisal’ and ‘problem solving’ revealed a positive association with BMI (Ptrend = 0.04 and 0.007, respectively) even after controlling for perceived stress. A possible interaction between perceived stress and ‘disengagement’ on BMI was found in men (Pinteraction = 0.027); the inverse association between ‘disengagement’ and BMI was more evident in higher levels of stress (β = −0.13, Ptrend = 0.21 in low; β = −0.22, Ptrend = 0.01 in medium; and β = −0.24, Ptrend = 0.06 in high). In men, ‘disengagement’ was inversely associated with overweight/obesity (odds ratio 0.79, 95% confidential interval 0.67-0.95), and “positive reappraisal” was positively associated with it (1.25, 1.02-1.54).
Citation: Shimanoe C, Hara M, Nishida Y, Nanri H, Otsuka Y, Nakamura K, et al. (2015) Perceived Stress and Coping Strategies in Relation to Body Mass Index: Cross-Sectional Study of 12,045 Japanese Men and Women. PLoS ONE 10(2): e0118105. https://doi.org/10.1371/journal.pone.0118105
Academic Editor: Keitaro Matsuo, Kyushu University Faculty of Medical Science, JAPAN
Received: June 9, 2014; Accepted: November 25, 2014; Published: February 12, 2015
Copyright: © 2015 Shimanoe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Data Availability: The authors confirm that, for approved reasons, some access restrictions apply to the data underlying the findings. Data from the “Japan Multi-Institutional Collaborative Cohort Study in Saga region” are not publicly available due to participants’ privacy concerns. Individuals seeking access may contact at Dr. Keitaro Tanaka (tanakake@cc.saga-u.ac.jp), Saga University Faculty of Medicine, and the J-MICC Study Central Office: http://www.jmicc.com/en/.
Funding: This work was supported by Grants-in-Aid for Scientific Research on the Special Priority Areas of Cancer (No. 17015018) and Innovative Areas (No. 221S0001); Scientific Research (A) (No. 20249038) and (B) (No. 18390182); and Young Scientists (A) (No. 20689014) and (B) (No. 18790380) from the Ministry of Education, Culture, Sports, Science and Technology, Japan. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Competing interests: The authors have declared that no competing interests exist.
Introduction
Psychosocial factors have been independently associated with cardiovascular diseases (CVD) [1] although they have shown weaker associations than other established risk factors such as smoking and obesity [2]. Psychosocial stress may lead to CVD possibly through developing obesity[3], and thus its association with indices of adiposity including the body mass index (BMI) have been investigated [4,5]. In a recent meta-analysis of 14 longitudinal studies on psychosocial stress and adiposity (evaluated mostly with BMI), the majority (69%) of correlation coefficients (r) revealed no significant relationships, followed by significant positive associations (25%) and significant inverse ones (6%), with an overall very weak positive association (combined r = 0.014, 95% confidence interval 0.002–0.025) [4]. Additional two longitudinal studies suggested a positive association [6] or no association [7] whereas two large cross-sectional studies demonstrated a weak positive association [5,8]. Accordingly, the overall evidence appears to support a positive association between psychosocial stress and BMI although the magnitude of the association is very weak.
The individuals’ efforts to manage stressors, coping strategies [9], have been conceptualized as moderators of the association between psychosocial stress and health-related outcomes [10]. Excess cortisol secretion is considered to be one of the mechanisms for the relationship between psychosocial stress and weight gain [11], and one recent study indicated that the lack of a coping strategy (i.e., each of self-protection, problem engagement, and seeking social support) was associated with elevated glucocorticoids [12,13]. We therefore hypothesized that coping strategies may be potential predictors of obesity as well as moderators of the link between stress and obesity. To our knowledge, only one study suggested an inverse association between a coping strategy (i.e., confrontive coping) and BMI in 180 women [14], and little is known about whether coping strategies moderate the association between psychosocial stress and BMI, or vice versa. The impact of gender difference on the association between coping strategies and BMI may also be of concern due to the paucity of such data.
We conducted a cross-sectional study of a middle-aged and older general Japanese population in order to examine if perceived stress and coping strategies are related to BMI, with any mutual interactions and gender differences in their possible relations to BMI.
Methods
Study population
The Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) was initiated in 2005 with the aim of obtaining fundamental data for the prevention of life-style related diseases, mainly cancer, according to genetic traits [15,16]. As part of participants in the baseline survey of the J-MICC Study between 2005 and 2007, we enrolled 12,078 men and women who were aged 40–69 years and resident in Saga city, Japan [17–19]. Ten subjects withdrew later, and the remaining 12,068 subjects constituted the study population of this cross-sectional study. Baseline measures included height (cm), weight (kg), socioeconomic status (SES: occupation, working hours, and years of schooling), lifestyle factors (alcohol consumption, smoking, physical activity, sleeping hours, and energy intake), and psychosocial factors (perceived stress and coping strategies). The subjects completed a self-administered questionnaire, and any missing or inconsistent answers were checked by a research nurse at the survey location.
All subjects gave written informed consent, and the study protocol was approved by the ethics committees at both Saga University Faculty of Medicine and Nagoya University Graduate School of Medicine.
Perceived stress and Coping strategies
Perceived mental stress in daily life was assessed by a single question [19,20], “How much stress did you feel during the last year?” Four response categories were given as: 1) “I felt much stress”, 2) “I felt moderate stress”, 3) “I felt little stress”, and 4) “I felt no stress at all.” The perceived stress level was regarded as high for the response category 1); medium for the category 2); and low for the categories 3) and 4) combined. We assigned scores of 1–3 to low, medium, and high levels of perceived stress, respectively. The weighted κ for this question in a 1-year reproducibility survey on a random sample (n = 431) was 0.55 [19], which was analogous to that reported in the INTERHEART study (Cohen’s κ = 0.5) [1].
For coping strategies, we used 5 items selected from a dispositional version of the General Coping Questionnaire [21,22] or the brief COPE [23]. These coping strategies were evaluated as follows. After a query, “How do you cope with various problems and unfavorable events you experience in daily life?”, subjects were requested to answer the frequency (four response categories: “seldom”, “sometimes”, “often”, and “very often”) of each of the following coping strategies: 1) “I express my negative feelings and thoughts” (termed ‘emotion expression’), 2) “I consult with someone close and ask him/her for encouragement” (termed ‘emotional support seeking’ [ESS]), 3) “I try to interpret the problem in a favorable way” (termed ‘positive reappraisal’), 4) “I try hard to solve the problem” (termed ‘problem solving’), and 5) “I let the problem take its own course” (termed ‘disengagement’). The level of each coping strategy was classified as low for the frequency of “seldom”, medium for “sometimes”, and high for “often” or “very often”. The weighted κ in the reproducibility survey ranged from 0.30 to 0.55 for these coping strategies [19].
Covariates
Occupation, working hours (including those for housework), and years of schooling were considered as indicators of SES. Subjects’ occupation at the baseline survey was asked in an open-ended manner, and their responses were classified according to the International Standard Classification of Occupations, 2008 (ISCO−08) into 4 categories: 0–2 (armed forces occupations, managers, and professionals); 3–5 (technicians, associate professionals, clerical support workers, and service and sales workers); 6–9 (skilled agricultural, forestry and fishery workers, craft and related trades workers, plant and machine operators, assemblers, and elementary occupations); and unemployed subjects including retired persons and housewives. Years of schooling were estimated based on the school from which subjects graduated.
Lifestyle factors included drinking and smoking habits, physical activity, sleeping hours, and energy intake. Total ethanol consumption (g/day) was estimated from reported consumption frequencies and amounts of 6 types of alcoholic beverages. Physical activity was assessed with a single-axis accelerometer [24] (Kenz Lifecorder Ex; Suzuken Co., Ltd., Nagoya, Japan) worn by subjects for 10 days after the baseline survey. The physical activity level was calculated as total energy expenditure (kcal/day) divided by basal metabolic rate (kcal/day); the former was estimated from the accelerometer as average daily energy expenditure (excluding the initial 3 days), and the latter was defined as basal metabolism standard [25] × body surface area [26] × 24 hours. Total energy intake was estimated using the information from a validated short food frequency questionnaire [27,28] and standard tables of food composition in Japan (Fifth Revised Edition) [29] as previously described [18].
Statistical analysis
From among the 12,068 participants in the baseline survey, we excluded 23 subjects who had missing data on perceived stress or BMI (n = 19), or a dietary energy intake greater than 4000 kcal/day (n = 4). Consequently, 12,045 subjects (5,063 men and 6,982 women) remained for this study. All analyses were performed separately for men and women with the SAS statistical software package (Ver. 9.3 for Windows; SAS Institute, Cary, NC, USA).
The differences of baseline characteristics by BMI levels (<25 and ≥25 kg/m2) in men or women were tested by t tests (for continuous variables) or chi-square tests (for categorical variables). The associations of perceived stress and 5 coping strategies (each 3 categories [low, medium, and high] converted to an ordinal variable) with BMI (kg/m2) were evaluated by simple and multiple liner regression analyses. Covariates for 1) age (years), 2) SES (occupation [4 categories by ISCO−08 as described above], working hours [4 categories: < 5, ≥ 5−< 7, ≥ 7−< 9, and ≥ 9], and years of schooling [5 categories: ≤ 9, 12, 14, 16, and ≥ 17]), 3) lifestyle factors (drinking [5 categories: never, former, and current drinker consuming 0.1–22.9, 23.0–45.9, and ≥ 46 g ethanol/day], smoking [5 categories: never, former, and current smoker consuming 1–19, 20–39, and ≥ 40 cigarettes/day], physical activity level [continuous], sleeping hours [4 categories: <6, ≥ 6−< 7, ≥ 7−< 8, and ≥ 8], and total energy intake [kcal/day]), and 4) either perceived stress (for each of coping strategies as a main variable) or all coping strategies (for perceived stress as a main variable) were added to the model in a stepwise manner. A linear trend of the association of each of perceived stress and coping strategies with BMI was assessed by the statistical significant of the corresponding regression coefficient. Gender differences of regression coefficients were tested using the model for both genders combined, with an additional interaction term for each psychosocial variable and gender. Whether the association between each coping strategy and BMI varied by occupation (4 categories) or perceived stress levels (low, medium, and high) was examined in stratified analysis, and was tested by including in the model additional interaction term(s) for either occupation (categorical variable) or perceived stress (ordinal variable) and each coping strategy (ordinal variable). Adjusted means of BMI and their 95% confidence intervals (CIs) by the level of each coping strategy were computed as least square means (i.e., analysis of covariance) by using the GLM procedure with the LSMEANS statement and the OBSMARGINS option in SAS.
Multiple logistic regression analyses were applied to estimate adjusted odds ratios and their 95% CIs of overweight/obesity (BMI ≥ 25.0 kg/m2) [30] for each of perceived stress and coping strategies. All P values reported are two-tailed, and those values less than 0.05 were considered statistically significant.
Results
Table 1 shows baseline characteristics of the study subjects with and without overweight/obesity (BMI ≥ 25.0 kg/m2) stratified by gender. Men with overweight/obesity were significantly more likely to be younger, use some coping strategies (positive reappraisal and problem solving), have managerial and professional occupations, and sleep shorter, as compared to those without overweight/obesity. Women with overweight/obesity, as compared to those without it, were older, felt more stress, used emotional support seeking less frequently, worked shorter, had lower education, included fewer drinkers, and had higher physical activity levels.
Perceived stress had significant positive correlations with emotion expression, ESS, and problem solving (Table 2). Perceived stress also showed a weak inverse association with disengagement in women, but not in men. As shown in Table 2, higher levels of stress and all coping strategies were associated with younger age in both men and women. Perceived stress and coping strategies were mostly positively correlated with employment, working hours, years of schooling, and alcohol drinking. Only perceived stress and emotion expression showed a positive correlation with smoking. Perceived stress was inversely related to sleeping hours. In men, higher levels of perceived stress and all coping strategies were associated with higher energy intake.
Table 3 shows the associations of perceived stress and coping strategies with BMI by gender. In men, BMI tended to increase with positive reappraisal and problem solving (Ptrend: 0.001 and < 0.001, respectively) and to decrease with disengagement (Ptrend = 0.016). In women, BMI decreased with perceived stress, emotion expression, and ESS (Ptrend: < 0.001, 0.016, and < 0.001, respectively). In age-adjusted analysis for men, BMI increased with positive reappraisal and problem solving (Ptrend: 0.002 and < 0.001, respectively) and decreased with disengagement (Ptrend = 0. 006). These associations remained significant after adjustment for SES (Ptrend: 0.02, 0.006 and 0.01, respectively) (Table 3, Model 1) and lifestyle factors (Ptrend: 0.03, 0.009 and 0.001, respectively) (Table 3, Model 2), as well as perceived stress or coping strategies (Ptrend: 0.04, 0.007 and < 0.001, respectively) (Table 3, Model 3). In contrast, the univariate associations of perceived stress, emotion expression, and ESS with BMI in women became insignificant after adjustment for age and other factors. In fully adjusted analyses of men and women combined, which correspond to Model 3 in Table 3, there was evidence for gender heterogeneity (i.e., difference between regression coefficients in both genders) in the associations of perceived stress (Pinteraction = 0.004), ESS (Pinteraction = 0.006), positive reappraisal (Pinteraction = 0.003), problem solving (Pinteraction = 0.004), and disengagement (Pinteraction = 0.027) with BMI (data not shown).
In additional analyses stratified by the covariates, we noted some differences by occupation in the above associations of problem solving and disengagement with BMI in men (Table 4). The positive association for problem solving and the inverse association for disengagement tended to be clear in the categories 0–2 (armed forces occupations, managers, and professionals) and the categories 6–9 (skilled agricultural, forestry and fishery workers, craft and related trades workers, plant and machine operators, assemblers, and elementary occupations), but not in the categories 3–5 (technicians, associate professionals, clerical support workers, and service and sales workers) and unemployed subjects, although the corresponding interactions were not significant.
We further examined if the above associations of positive reappraisal, problem solving, and disengagement with BMI in men were modified by perceive stress levels (Fig. 1). The positive association between problem solving and BMI was more evident in higher levels of stress (β = 0.14 with Ptrend = 0.21 in low, β = 0.17 with Ptrend = 0.09 in medium, and β = 0.33 with Ptrend = 0.02 in high) although the corresponding interaction was not significant (Pinteraction = 0.14). In contrast, disengagement revealed a clearer inverse association with BMI in higher levels of stress (β = −0.13 with Ptrend = 0.21 in low, β = −0.22 with Ptrend = 0.01 in medium, and β = −0.24 with Ptrend = 0.06 in high) with a significant interaction (Pinteraction = 0.027).
β represent regression coefficients in kg/m2. Adjustment was made for age, socio-economic status (occupation, working hours, and years of schooling), and lifestyle factors (drinking, smoking, physical activity level, sleeping hours, and energy intake). P values for trend were estimated from multiple linear regression analysis including in the model an ordinal variable (1–3 assigned to low, medium, and high levels, respectively) for each coping strategy. Symbols show means and error bars represent 95% confidential intervals.
Finally, the associations of perceived stress and coping strategies with overweight/obesity (BMI ≥ 25.0kg/m2) were assessed by using multiple logistic regression analyses (Table 5). We observed significant associations of positive appraisal (odds ratio for high vs. low level = 1.25, 95% CI 1.02–1.54; Ptrend = 0.03) and disengagement (odds ratio 0.79, 95% CI 0.67–0.95; Ptrend = 0.01) with overweight/obesity in men. The adjusted odds ratios for problem solving in men were found to be statistically insignificant (odds ratio for high vs. low level = 1.15, 95% CI 0.91–1.46) although the test for linear trend showed statistical significance (Ptrend = 0.03).
Discussion
In the present study, perceived stress was not significantly associated with BMI in either men or women. Instead, we observed that, in men, positive reappraisal and problem solving had a positive association with BMI, and disengagement revealed an inverse association with it even after controlling for perceived stress and other covariates. The associations of problem solving and disengagement with BMI tended to be modified by perceived stress levels, as indicated by a clearer association at higher levels of perceived stress. To examine the clinical relevance of the above findings, we also carried out multiple logistic regression analyses with overweight/obesity as a dependent variable and found that the high level of either positive reappraisal or disengagement was significantly and independently associated with overweight/obesity in men (odds ratios for high vs. low level: 1.25 and 0.79, respectively).
The overall evidence appears to suggest a weak positive association between psychosocial stress and adiposity [4]. Although we could not find any significant positive association between perceived stress and BMI in either gender, this finding is not necessarily inconsistent with previous results as reviewed in a recent meta-analysis showing that null results were most prevalent (69%) [4]. If the true association between psychosocial and adiposity is so weak (combined r = 0.014) [4], this study of a relatively large sample size would still be underpowered to detect such a weak association. Otherwise, some differences between this and other studies in characteristics of study subjects (e.g., occupation and prevalence of mental illness and obesity) [7,8] and measurements of stress (general perceived stress in this study vs. stress related to job, income, and life events in other studies [5–7]) may partly account for the above inconsistency.
Regarding coping strategies, only one study reported that young and middle-aged African American women showed an inverse association between confrontive coping and BMI [14]. However, that study did not control for age. Although we observed similar inverse associations between some coping strategies (i.e., emotion expression and ESS) and BMI in women, these associations disappeared after adjustment for age, suggesting that potential confounding by age might explain the discrepancy between the previous [14] and present studies. The difference in age range of study subjects (18–45 years in the previous study [14] vs. 40–69 years in this study) might also be partly responsible for such a discrepancy.
Psychosocial stress has been suspected to develop obesity partly through its associations with sleeping status [31], eating behaviors [32], and poor physical activity [33], and by similar mechanisms, coping strategies might be connected with obesity. In fact, we found weak positive relations of coping strategies to drinking and energy intake (Table 2). However our findings remained unchanged even after controlling for lifestyle factors (drinking, smoking, physical activity level, sleeping hours, and energy intake) as well as SES and psychosocial variables, so coping strategies might be involved in increased BMI by other mechanisms. Cortisol, a major stress hormone, promotes the accumulation of triglycerides in adipocytes [34], thereby leading to obesity. Because a previous study reported that lower levels of social support seeking and problem engagement were related to higher levels of cortisol over the day [13], we hypothesized that lower coping strategies might be associated with higher BMI. Contrary to this hypothesis, positive reappraisal and problem solving had a positive association with BMI in men although disengagement revealed a male-specific inverse association. Due to the paucity of relevant data on cortisol and coping strategies, this issue warrants further studies.
Positive reappraisal and disengagement are both reinterpreting the meaning of negative stimuli, with a resulting reduction in emotional responses. However, positive reappraisal is changing one’s own emotional reaction whereas disengagement represents avoidant coping [35], indicating some difference between both strategies. In fact, their mutual correlation was very weak in our study (r = 0.022 for men and 0.018 for women) [19]. A previous study reported that lower systolic blood pressure was associated with avoidant coping, but not with positive reappraisal [36], suggesting that these strategies can lead to different health outcomes, as indicated by this study.
We noted gender heterogeneity in the association between coping strategies and BMI; positive reappraisal, problem solving, and disengagement had a significant association with BMI in men only. In a meta-analysis of longitudinal studies regarding psychosocial stress and adiposity, positive effects in men tended to be stronger than those in women [4]. Several studies also reported that the positive association of work stress as evaluated by the effort-reward-imbalance model and over-commitment with cortisol levels was more pronounced in men [37,38]. Although these findings are not directly relevant to coping strategies, some gender-dependent responses of cortisol and other unknown mediators with coping strategies triggered by psychosocial stress might contribute to the male-specific associations between coping strategies and BMI in this study.
In stratified analyses, we found some differences by occupation in the above associations of problem solving and disengagement with BMI in men although the corresponding interactions were not significant. These associations were evident in professionals (categories 0–2) and blue collar workers (categories 6–9), but not in white collar workers (categories 3–5) and unemployed subjects. We currently have no plausible explanations for this finding, and chance could be responsible. Unemployed subjects included retired and jobless people as well as housewives, who may have different significance in coping strategies. Unfortunately, we could not address the significance of heterogeneity in unemployed subjects due to the lack of relevant data.
It was also notable that the associations of problem solving and disengagement with BMI were modified by the level of perceived stress. To our knowledge, no studies have been conducted on this issue, but a few studies demonstrated that the relations of some coping strategies to high-sensitivity C-reactive protein [19] and depression [39] were dependent on the level of psychosocial stress. In this study, the positive association between problem solving and BMI and the inverse association between disengagement and BMI were more evident in higher levels of stress. This finding suggests that these coping strategies may play an important role in the increase or decrease of BMI, particularly among individuals with high stress levels. The lack of information on coping strategies in previous studies might have obscured true associations to some extent.
The strength of our study includes the large sample size and the detailed measures of SES and lifestyle factors as covariates. Meanwhile, several limitations should be mentioned. First, because we could not explicitly exclude subjects with mental illness, our findings may have been affected by some connection of perceived stress or coping strategies with relatively common mental illness (e.g., depression and anxiety disorders) [40]. Although we could not assess the prevalence of such mental illness, our study included 46 subjects (0.4%) with self-reported treatment for depression and 140 subjects (1.2%) with self-reported medication of antipsychotics, antidepressants, and/or anxiolytics. Both prevalences were lower than those reported in Japan [41,42], suggesting that those mental illnesses may have been underrepresented in our study subjects. Second, we did not obtain information on detailed eating behaviors (e.g., eating binges [43], midnight snack intake, and the time of eating, especially of dinner). Thus, we could not exclude the possibility that such eating behaviors might have mediated the association between some coping strategy and BMI although we excluded subjects with an extreme energy intake (> 4000 kcal/day) and adjusted for energy intake. In particular, eating binges is one of the important stress coping behaviors, which is observed more frequently women [43]. In our female subjects, however, the lack of any significant associations between coping strategies and BMI after adjustment for age only (Table 3) suggests the absence of important mediators including eating binges, at least in this study. Third, perceived stress and coping strategies were evaluated by using simple questions. For coping strategies, the poor to fair reproducibility (weighted κ 0.30–0.55) [19,44] may have weakened true associations. Fourth, our results on coping strategies and BMI may not be regarded as causal relationships due to the cross-sectional design. Finally, the study subjects consisted of only the Japanese, so our results may not be generalized to other ethnicities with different psychosocial backgrounds.
In conclusion, we found that lower levels of disengagement and higher levels of positive reappraisal and problem solving were independent predictors of increased BMI and overweight/obesity in Japanese middle-aged and older men. Our findings suggest that some coping strategies may have an important role in developing obesity, so we recommend that future studies should assess the risk of obesity related to psychosocial stress, with taking into account the influence of coping strategies.
Author Contributions
Conceived and designed the experiments: CS M. Hara YH KS KT. Performed the experiments: M. Horita YH. Analyzed the data: CS M. Hara HN KT. Wrote the paper: CS KT. Data acquisition: CS M. Hara YN HN YO KN YH TI NT TS KS KT.
References
- 1. Rosengren A, Hawken S, Ounpuu S, Sliwa K, Zubaid M, et al. (2004) Association of psychosocial risk factors with risk of acute myocardial infarction in 11119 cases and 13648 controls from 52 countries (the INTERHEART study): case-control study. Lancet 364: 953–962. pmid:15364186
- 2. Kivimäki M, Nyberg ST, Batty GD, Fransson EI, Heikkilä K, et al. (2012) Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet 380: 1491–1497. pmid:22981903
- 3. Jiang J, Ahn J, Huang WY, Hayes RB (2013) Association of obesity with cardiovascular disease mortality in the PLCO trial. Prev Med 57: 60–64. pmid:23632233
- 4. Wardle J, Chida Y, Gibson EL, Whitaker KL, Steptoe A (2011) Stress and adiposity: a meta-analysis of longitudinal studies. Obesity (Silver Spring) 19: 771–778. pmid:20948519
- 5. Nyberg ST, Fransson EI, Heikkilä K, Alfredsson L, Casini A, et al. (2013) Job strain and cardiovascular disease risk factors: meta-analysis of individual-participant data from 47,000 men and women. PLoS One 8: e67323. pmid:23840664
- 6. Harding JL, Backholer K, Williams ED, Peeters A, Cameron AJ, et al. (2013) Psychosocial stress is positively associated with body mass index gain over 5 years: Evidence from the longitudinal AusDiab study. Obesity (Silver Spring) 22: 277–286.
- 7. Block JP, He Y, Zaslavsky AM, Ding L, Ayanian JZ (2009) Psychosocial stress and change in weight among US adults. Am J Epidemiol 170: 181–192. pmid:19465744
- 8. Kouvonen A, Kivimäki M, Cox SJ, Cox T, Vahtera J (2005) Relationship between work stress and body mass index among 45,810 female and male employees. Psychosom Med 67: 577–583. pmid:16046370
- 9. Lazarus RS (1984) Puzzles in the study of daily hassles. J Behav Med 7: 375–389. pmid:6520869
- 10. Taylor SE, Stanton AL (2007) Coping resources, coping processes, and mental health. Annu Rev Clin Psychol 3: 377–401. pmid:17716061
- 11. Dallman MF, la Fleur SE, Pecoraro NC, Gomez F, Houshyar H, et al. (2004) Minireview: glucocorticoids—food intake, abdominal obesity, and wealthy nations in 2004. Endocrinology 145: 2633–2638. pmid:15044359
- 12. Rueggeberg R, Wrosch C, Miller GE, McDade TW (2012) Associations between health-related self-protection, diurnal cortisol, and C-reactive protein in lonely older adults. Psychosom Med 74: 937–944. pmid:23115346
- 13. O’Donnell K, Badrick E, Kumari M, Steptoe A (2008) Psychological coping styles and cortisol over the day in healthy older adults. Psychoneuroendocrinology 33: 601–611. pmid:18329182
- 14. Strickland OL, Giger JN, Nelson MA, Davis CM (2007) The relationships among stress, coping, social support, and weight class in premenopausal African American women at risk for coronary heart disease. J Cardiovasc Nurs 22: 272–278. pmid:17589278
- 15. Wakai K, Hamajima N, Okada R, Naito M, Morita E, et al. (2011) Profile of participants and genotype distributions of 108 polymorphisms in a cross-sectional study of associations of genotypes with lifestyle and clinical factors: a project in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. J Epidemiol 21: 223–235. pmid:21467728
- 16. Hamajima N, Group J-MS (2007) The Japan Multi-Institutional Collaborative Cohort Study (J-MICC Study) to detect gene-environment interactions for cancer. Asian Pac J Cancer Prev 8: 317–323. pmid:17696755
- 17. Hara M, Higaki Y, Imaizumi T, Taguchi N, Nakamura K, et al. (2010) Factors influencing participation rate in a baseline survey of a genetic cohort in Japan. J Epidemiol 20: 40–45. pmid:19897942
- 18. Nanri H, Nakamura K, Hara M, Higaki Y, Imaizumi T, et al. (2011) Association between dietary pattern and serum C-reactive protein in Japanese men and women. J Epidemiol 21: 122–131. pmid:21325731
- 19. Shimanoe C, Otsuka Y, Hara M, Nanri H, Nishida Y, et al. (2014) Gender-specific associations of perceived stress and coping strategies with C-reactive protein in middle-aged and older men and women. Int J Behav Med 21: 821–832. pmid:24085705
- 20. Iso H, Date C, Yamamoto A, Toyoshima H, Tanabe N, et al. (2002) Perceived mental stress and mortality from cardiovascular disease among Japanese men and women: the Japan Collaborative Cohort Study for Evaluation of Cancer Risk Sponsored by Monbusho (JACC Study). Circulation 106: 1229–1236. pmid:12208798
- 21. Sasaki M, Yamasaki K (2002) [Development of a dispositional version of the General Coping Questionnaire (GCQ) and examination of its reliability and validity]. Nihon Koshu Eisei Zasshi 49: 399–408 (in Japanese. ). pmid:12087766
- 22. Sasaki M, Kitaoka-Higashiguchi K, Morikawa Y, Nakagawa H (2009) Relationship between stress coping and burnout in Japanese hospital nurses. J Nurs Manag 17: 359–365. pmid:21456321
- 23. Carver CS (1997) You want to measure coping but your protocol’s too long: consider the brief COPE. Int J Behav Med 4: 92–100. pmid:16250744
- 24. Kumahara H, Schutz Y, Ayabe M, Yoshioka M, Yoshitake Y, et al. (2004) The use of uniaxial accelerometry for the assessment of physical-activity-related energy expenditure: a validation study against whole-body indirect calorimetry. Br J Nutr 91: 235–243. pmid:14756909
- 25.
Health Promotion and Nutrition Division HSB, Ministry of Health and Welfare of Japan (1994) Fifth Revision of the Recommended Dietary Allowances for Japanese. Tokyo: Daiichi Syuppan (in Japanese).
- 26. Fujimoto S, Watanabe T, Sakamoto A, Yukawa K, Morimoto K (1968) [Studies on the physical surface area of Japanese. 18. Calculation formulas in three stages over all ages]. Nihon Eiseigaku Zasshi 23: 443–450 (in Japanese. ). pmid:5752712
- 27. Tokudome S, Goto C, Imaeda N, Tokudome Y, Ikeda M, et al. (2004) Development of a data-based short food frequency questionnaire for assessing nutrient intake by middle-aged Japanese. Asian Pac J Cancer Prev 5: 40–43. pmid:15075003
- 28. Tokudome Y, Goto C, Imaeda N, Hasegawa T, Kato R, et al. (2005) Relative validity of a short food frequency questionnaire for assessing nutrient intake versus three-day weighed diet records in middle-aged Japanese. J Epidemiol 15: 135–145. pmid:16141632
- 29.
Science Japan and Agency Technology (2000) Standard Tables of Food Composition in Japan, Fifth Revised Edition. Tokyo: Ministry of Finance Printing Bureau (in Japanese. ). pmid:15526759
- 30. WHO (2000) Obesity: preventing and managing the global epidemic. Report of a WHO consultation. World Health Organ Tech Rep Ser 894: i–xii, 1–253. pmid:11234459
- 31. Yang TC, Matthews SA, Chen VY (2014) Stochastic variability in stress, sleep duration, and sleep quality across the distribution of body mass index: insights from quantile regression. Int J Behav Med 21: 282–291. pmid:23385490
- 32. Wardle J, Steptoe A, Oliver G, Lipsey Z (2000) Stress, dietary restraint and food intake. J Psychosom Res 48: 195–202. pmid:10719137
- 33. Barrington WE, Ceballos RM, Bishop SK, McGregor BA, Beresford SA (2012) Perceived stress, behavior, and body mass index among adults participating in a worksite obesity prevention program, Seattle, 2005–2007. Prev Chronic Dis 9: E152 pmid:23036611
- 34. Rosmond R (2005) Role of stress in the pathogenesis of the metabolic syndrome. Psychoneuroendocrinology 30: 1–10. pmid:15358437
- 35. Carver CS, Connor-Smith J (2010) Personality and coping. Annu Rev Psychol 61: 679–704. pmid:19572784
- 36. Martin LA, Critelli JW, Doster JA, Powers C, Purdum M, et al. (2013) Cardiovascular risk: gender differences in lifestyle behaviors and coping strategies. Int J Behav Med 20: 97–105. pmid:22144263
- 37. Eller NH, Netterstrøm B, Hansen AM (2006) Psychosocial factors at home and at work and levels of salivary cortisol. Biol Psychol 73: 280–287. pmid:16824664
- 38. Steptoe A, Siegrist J, Kirschbaum C, Marmot M (2004) Effort-reward imbalance, overcommitment, and measures of cortisol and blood pressure over the working day. Psychosom Med 66: 323–329. pmid:15184690
- 39. Wei-Qing C, Oi-Ling S, Jia-Fang L, Cooper CL, Phillips DR (2009) Work stress and depression: the direct and moderating effects of informal social support and coping. Stress & Health: Journal of the International Society for the Investigation of Stress 25: 431–443.
- 40. Kelly SJ, Daniel M, Dal Grande E, Taylor A (2011) Mental ill-health across the continuum of body mass index. BMC Public Health 11: 765 pmid:21975214
- 41.
Nakagawa A (2011) Ministry of Health, Labour and Welfare. Research Database: Report of Ministry of Health, Labour Science Research Grant Special Research, International Comparison of Psychotropic Medication Prescription Patterns (in Japanese). Available: http://mhlw-grants.niph.go.jp/niph/search/NIDD00.do?resrchNum=201005018A. Accessed 4 November 2014.
- 42. Kawakami N, Takeshima T, Ono Y, Uda H, Hata Y, et al. (2005) Twelve-month prevalence, severity, and treatment of common mental disorders in communities in Japan: preliminary finding from the World Mental Health Japan Survey 2002–2003. Psychiatry Clin Neurosci 59: 441–452. pmid:16048450
- 43. Nicdao EG, Hong S, Takeuchi DT (2007) Prevalence and correlates of eating disorders among Asian Americans: results from the National Latino and Asian American Study. Int J Eat Disord 40 Suppl: S22–26. pmid:17879986
- 44. Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33: 159–174. pmid:843571