Skip to main content
Download PDF

Association between regular physical exercise and depressive symptoms mediated through social support and resilience in Japanese company workers: a cross-sectional study

BMC Public Health volume 16, Article number: 553 (2016) Cite this article

Abstract

Background

Regular physical exercise has been reported to reduce depressive symptoms. Several lines of evidence suggest that physical exercise may prevent depression by promoting social support or resilience, which is the ability to adapt to challenging life conditions. The aim of this study was to compare depressive symptoms, social support, and resilience between Japanese company workers who engaged in regular physical exercise and workers who did not exercise regularly. We also investigated whether regular physical exercise has an indirect association with depressive symptoms through social support and resilience.

Methods

Participants were 715 Japanese employees at six worksites. Depressive symptoms were assessed with the Center for Epidemiologic Studies Depression (CES-D) scale, social support with the short version of the Social Support Questionnaire (SSQ), and resilience with the 14-item Resilience Scale (RS-14). A self-report questionnaire, which was extracted from the Japanese version of the Health-Promoting Lifestyle Profile, was used to assess whether participants engage in regular physical exercise, defined as more than 20 min, three or more times per week. The group differences in CES-D, SSQ, and RS-14 scores were investigated by using analysis of covariance (ANCOVA). Mediation analysis was conducted by using Preacher and Hayes’ bootstrap script to assess whether regular physical exercise is associated with depressive symptoms indirectly through resilience and social support.

Results

The SSQ Number score (F = 4.82, p = 0.03), SSQ Satisfaction score (F = 6.68, p = 0.01), and RS-14 score (F = 6.01, p = 0.01) were significantly higher in the group with regular physical exercise (n = 83) than in the group without regular physical exercise (n = 632) after adjusting for age, education, marital status, and job status. The difference in CES-D score was not significant (F = 2.90, p = 0.09). Bootstrapping revealed significant negative indirect associations between physical exercise and CES-D score through the SSQ Number score (bias-corrected and accelerated confidence interval (BCACI) = −0.61 to −0.035; 95 % confidence interval (CI)), SSQ Satisfaction score (BCACI = −0.92 to −0.18; 95 % CI), and RS-14 score (BCACI = −1.89 to −0.094; 95 % CI).

Conclusion

Although we did not find a significant direct association between exercise and depressive symptoms, exercise may be indirectly associated with depressive symptoms through social support and resilience. Further investigation is warranted.

Peer Review reports

Background

Depressive symptoms are common in the workplace and can result in outcomes such as suicide, impaired job performance [1], long absences due to sickness [2], and the need to pay disability pensions [3]. Depressive symptoms therefore represent a substantial economic burden to society [4, 5]. Preventing the development of depressive symptoms in the workplace is therefore of great importance for both employees and employers, as well as for society as a whole. Depressive symptoms in the workplace have been associated with psychosocial factors, such as poor social support and job strain, defined as high demands and low decision latitude in the workplace [6].

Accumulated evidence has shown that moderate-intensity regular physical exercise has beneficial effects on depressive symptoms, as well as diseases such as type 2 diabetes and coronary heart disease. A meta-analysis revealed that exercise has moderate beneficial effects on depressive disorders [7], and several studies have suggested that exercise can reduce the risk of depressive symptoms in the workplace [8, 9]. Guidelines for the treatment of depressive disorders developed by the Japanese Society of Mood Disorders recommend exercise three or more times per week for mild depressive disorders [10], although the precise dose of physical exercise needed to treat depression remains elusive.

Both biological factors and psychosocial factors have been proposed as possible mechanisms for the beneficial effect of regular physical exercise on depression. Social support is an important preventive factor for depressive symptoms [11–13]. Physical exercise is often undertaken in a social environment, leading to the ‘social interaction’ hypothesis [14]. For example, contact with the person supervising the exercise in interventional trials of exercise may have provided social support, resulting in improvement of depressive symptoms [15–17]. As discussed in systematic reviews of the effects of physical exercise interventions on depressive symptoms, a number of studies did not control for variables such as social support, although participants were required to exercise under supervision or in group situations [7, 14, 16]. Thus, physical exercise may prevent depression by promoting social support.

Resilience, which is defined as a dynamic process and the ability to adapt to challenging life conditions [18–20], is key to adapting to the daily psychological burden in the workplace and to preventing the development of depressive symptoms. Resilience has been negatively associated with depressive symptoms, and positively associated with emotional regulation [21, 22]. Compared with persons with low resilience scores, persons with high resilience scores were reported to have more positive emotions even in stressful situations [22] and to have more emotional flexibility in response to a rapidly changing stressful psychological task [23]. Resilience is also associated with quick recovery from cardiovascular arousal [22]. Exercise has been shown to have effects similar to those of resilience. It is well recognized that physical exercise has a beneficial effect on positive mood [24]. Childs and de Wit demonstrated that those who reported exercising at least once per week also reported a lesser decline in positive affect after an emotional stress task than those who did not report physical exercise [25]. A meta-analysis demonstrated a positive effect of acute aerobic exercise on stress-related blood pressure responses [26]. Furthermore, exercise increases brain-derived neurotrophic factor, which protects neurons in regions of the brain such as the striatum and hippocampus in stressful situations [27, 28]. Zschucke et al. demonstrated that physical exercise activated the hippocampus, inactivated the prefrontal cortex, and reduced the cortisol response to an emotional task. Physical exercise might thus enhance resilience by regulating the hypothalamic-pituitary-adrenal axis to buffer the effect of daily stress [29]. Physical exercise may therefore prevent depression by promoting resilience. To the best our knowledge, however, no studies have investigated the association of regular physical exercise and resilience by using a validated resilience scale.

The aim of this study was to investigate differences in depressive symptoms, social support, and resilience between a group of Japanese company workers who engaged in regular physical exercise and a group of workers who did not and to determine whether regular physical exercise has an indirect association with depressive symptoms through social support and resilience.

Methods

Participants

We conducted a research in 6 workplaces in Kanto area of a company which agreed to cooperate. We instructed occupational health staffs in 6 workplaces of a company, and they explained the details of research to the company workers in face-to-face interviews. Participants were provided with a written explanation of the research, a consent form, and the self-report questionnaires by the company’s occupational health staff. Workers who agreed to participate in this study provided consent by returning the consent form and questionnaires by postal mail. This study was conducted by using a database which was collected in a previous study [20, 30]. Of the 15,071 workers at six separate worksites of a large company located in an urban area of Japan, 2159 workers (13.4 %) were approached. Among them, 741 (34.3 %) agreed to participate in the study. We excluded 26 participants with missing responses to items related to the subscales used, leaving 715 participants for analysis in this study. The workers who did not participate did not differ significantly from the participants in terms of age or sex.

Measures

Demographic information on sex, marital status, educational attainment, and job status were collected by self-report.

Assessment of depressive symptoms

The Center for Epidemiologic Studies Depression (CES-D) questionnaire was administered to assess depressive symptoms. CES-D is a self-report questionnaire consisting of 20 items, and the scores are summed to yield a total score between 0 and 60, with a higher score indicating more severe depressive symptoms. This scale is one of the most widely used scales to assess depressive symptoms in the past week [31]. The reliability and validity of the Japanese version have been verified [32].

Assessment of social support

The short version of the Social Support Questionnaire (SSQ) was administered to assess social support. The short version of SSQ consists of six items with 12 questions [33]. Each item has two parts. The first part assesses the number of others to whom the individual feels he or she can turn in times of need in various situations. The second part measures the individual’s degree of satisfaction with the perceived support available in that particular situation. Responses are rated on a 6-point Likert scale (1 = “very dissatisfied”; 6 = “very satisfied,”). Two scores are obtained: the SSQ Number score for the perceived number of social supports, and the SSQ Satisfaction score for satisfaction with the social support that is available. The scores for each participant were calculated by averaging the scores of all items. Sarason et al. developed the SSQ as a reliable, valid, and convenient index of social support [34]. The Japanese version of the SSQ has been verified to be reliable and valid [35].

Assessment of resilience

The 14-item Resilience Scale (RS-14) was administered to assess resilience. The RS-14 is an abbreviated version of the Resilience Scale (RS), which is a self-report questionnaire consisting of 25 items that measure the degree of individual resilience [18]. Each item is rated on a 7-point Likert scale (total score range, 14–98), with a higher score indicating more resilience [18]. The RS was developed through a qualitative study of people who had experienced a recent loss (e.g., of a spouse, health, or employment) and had adapted successfully [18, 36–40]. The RS scale was recommended as an excellent and widely used scale to assess psychological resilience in a review by Ahern [41]. The RS-14 strongly correlates with the RS. The reliability and validity of the Japanese version have been verified [42].

Assessment of frequency of physical exercise

To evaluate physical exercise habits, we extracted a single item from the Japanese version of the Health-Promoting Lifestyle Profile [43]. Physical exercise was assessed with a frequency question: “The next question is about your physical exercise habits. In the last six months, how often did you do relatively hard exercise for more than 20 min, such as jogging or running, cycling, aerobics, and stepping exercise?.” Four response options were given for each question: 1) never, 2) 1–3 times a month, 3) 1–2 times a week, and 4) 3 or more times per week.

Statistical analysis

All of the analyses were performed using SPSS, version 23 (SPSS Inc., Chicago). Alpha levels were all set at p < 0.05. We divided the participants into two groups based on their frequency of relatively hard exercise: those exercising more than 20 min, three or more times per week, were defined as the regular physical exercise group, and all others were defined as the group without regular exercise. We also dichotomized the participants by demographic data, as follows: marital status into whether married or not, educational attainment into whether graduated from college or university or not, and job status into whether in a management position or not. Age was compared between the two groups with Student’s t test. Differences in the categorical variables of marital status, educational attainment, and job status were analyzed with chi-square tests or Fisher’s exact test. The group differences in CES-D score, SSQ Number score, SSQ Satisfaction score, and RS-14 score were compared between the groups with and without regular physical exercise after adjusting for age, sex, marital status, educational attainment, and job status by using analysis of covariance (ANCOVA).

Additionally, to investigate indirect associations between regular physical exercise and depressive symptoms through social support and resilience, we conducted a mediation analysis using the statistical analysis framework defined by Baron and Kenny [44], as follows. First, a regression analysis was conducted to evaluate the c path (Fig. 1), in which CES-D score was the dependent variable and regular physical exercise was the independent variable. Second, regression analysis was conducted to evaluate the a n paths; each mediator variable (n = 1: SSQ Number score; n = 2: SSQ Satisfaction score; n = 3: RS-14 score) was entered as a dependent variable, and regular physical exercise was the independent variable. Third, regression analysis was conducted to evaluate the b n paths and c′ path, with CES-D score as the dependent variable and each mediator variable as an independent variable. Next, the sizes of the indirect associations between regular physical exercise and the CES-D score through SSQ Number score (a 1  × b 1 ), SSQ Satisfaction score (a 2  × b 2 ), and RS-14 score (a 3  × b 3 ) were estimated, using a bias-corrected bootstrapping method [45] with 5000 replications, and bootstrap 95 % confidence intervals (CIs) were obtained. The mediation model and any indirect associations were assessed by using Preacher and Hayes’ bootstrap script for SPSS [45], which can handle nonparametric data. The CES-D score was the dependent variable; regular physical exercise was entered as the independent variable; the RS-14, SSQ Number, and SSQ Satisfaction scores were entered as mediator variables; and age, sex, marital status, educational attainment, and job status were entered as control variables. When the bootstrap 95 % CI did not include zero, the indirect association was taken to be significant, equivalent to testing for significance at the 0.05 level.

Fig. 1
figure 1

Models of associations between exercise and depressive symptoms. a Illustration of a direct association between regular physical exercise and depressive symptoms. Path c represents the total effect of regular physical exercise on the total score of the Center for Epidemiologic Studies Depression (CES-D) scale. b Illustration of an indirect association between regular physical exercise and depressive symptoms (CES-D) mediated by resilience (14-item Resilience Scale, RS-14) and social support (Social Support Questionnaire, SSQ). The paths a n represent the association between regular physical exercise and each mediator. The paths b n represent the association between each mediator and depressive symptoms (CES-D). Path c′ is the association between the regular physical exercise and depressive symptoms (CES-D), without mediators

Full size image

Results

Demographics

All 715 participants were Japanese. Other demographic characteristics, and mean scores in the CES-D, SSQ, and RS-14 instruments, are shown in Table 1. In a univariate analysis of background variables and regular physical exercise, only low educational attainment was significantly associated with regularly engaging in physical exercise (p < 0.01; Table 2).

Table 1 Demographic characteristics
Full size table
Table 2 Univariate analysis of the relationship between demographic variables and regular physical exercise
Full size table

Regular physical exercise and depressive symptoms, social support, and resilience

There was no significant difference in CES-D score between the group with regular physical exercise and the group without regular physical exercise (F = 2.90, p = 0.09; Table 3). The group with regular physical exercise had significantly higher SSQ Number score (F = 4.82, p = 0.03), SSQ Satisfaction score (F = 6.68, p = 0.01), and RS-14 score (F = 6.01, p = 0.01).

Table 3 Depressive symptoms, social support, and resilience in the groups with and without regular physical exercise
Full size table

Indirect association between regular physical exercise and depressive symptoms through social support and resilience

The results of the regression analysis using Preacher and Hayes’ bootstrap script are as follow. There was no significant association between regular physical exercise and CES-D score (c path: B = −1.51, SE = 0.89, p = 0.09). After controlling for all mediator variables, SSQ Number score, SSQ Satisfaction score, and RS-14 score, no significant association remained between regular physical exercise and CES-D score (c′ path: B = −0.17, SE = 0.72, p = 0.81). Regular physical exercise was significantly associated with SSQ Number score (a 1 path: B = 0.6, SE = 0.28, p = 0.03), SSQ Satisfaction score (a 2 path: B = 0.29, SE = 0.11, p < 0.01), and RS-14 score (a 3 path: B = 3.20, SE = 1.30, p = 0.01). CES-D score was significantly associated with SSQ Number score (b 1 path: B = 0.6, SE = 0.28, p = 0.03), SSQ Satisfaction score (b 2 path: B = −1.63, SE = 0.26, p < 0.01), and RS-14 score (b 3 path: B = −0.30, SE = 0.02, p < 0.01).

The bootstrapping results revealed that there was a significant negative indirect association between physical exercise and CES-D score through the SSQ Number score (bias-corrected and accelerated confidence interval (BCACI)= −0.61 to −0.0350; 95 % confidence interval (CI)), SSQ Satisfaction score (BCACI = −0.92 to −0.18; 95 % CI), and RS-14 score (BCACI = −1.89 to −0.094; 95 % CI).

Discussion

We investigated the association between physical exercise and depressive symptoms, social support, and resilience in Japanese workers. The participants in the current study were mainly men who were highly educated and worked for a large Japanese company that provides good job security and a relatively good balance of effort and reward. Only 11.6 % of participants indicated that they engage in regular physical exercise, which we defined as at least 20 min, three or more times per week, as recommended by the guidelines for treating depressive disorders from the Japanese Society of Mood Disorders.

CES-D scores were numerically lower in participants who engaged in regular physical exercise, but this did not reach statistical significance in the ANCOVA analysis. This result does not seem to support previous findings, which demonstrated a benefit of physical exercise on depressive symptoms [7, 46, 47]. This might be because our participants did not have depressive symptoms severe enough to prevent them from performing the routine duties of their company jobs. Accumulated evidence supports depression as a continuum of disorders, with severity being the only difference between major depression and minor depression [48]. Consistent with our results, a previous randomized, controlled, intervention study of a workplace physical exercise program for white-collar employees with minimal symptoms of depression did not show a statistically significant improvement compared with a control group [9]. Thus, exercise might have more limited effects in individuals with mild depressive symptoms.

Another possible explanation for our results is the dose of physical exercise. There have been several studies showing a U-shaped association between physical exercise and depressive symptoms [49–51]. The risk of depressive symptoms was found to gradually decrease from no exercise to a high dose of leisure-time exercise (16.5 to <25 metabolic equivalent [MET] hours per week), and then to slightly increase again at a very high dose (above 25.5 MET hours per week) in a cohort study of Japanese company workers [49]. A U-shaped association was also found between vigorous-intensity exercise and depressive symptoms in a cohort study of American Black women, with the greatest risk reduction (18 %) occurring at 3–4 h per week of vigorous exercise [50]. The dose of physical exercise in the present study therefore may not be enough to alleviate depressive symptoms, or very high doses of exercise in some participants might have attenuated the benefits of exercise on depressive symptoms.

However, the result of the current study suggest that regular exercise might have a benefit on depressive symptoms in the workplace through social support and resilience. The ANCOVA analysis indicated that participants engaging in regular exercise had significantly higher social support and resilience compared with those who did not engage in regular physical exercise. Furthermore, in the mediation analysis, the bootstrap result showed a statistically significant indirect association between depressive symptoms and physical exercise through resilience and social support. Although our results did not meet the statistical framework in which Baron and Kenny [44] defined mediation as occurring if the a n , b n , c paths are significant and the c′ path is not significant, because the c path was not significant in our analysis, some authors have proposed that a significant total effect is not necessary to show mediation if the indirect effect is significant [52, 53]. Thus the findings of this study were not inconsistent with the hypothesis that regular physical exercise attenuates depressive symptoms in part by promoting social support and resilience, but further investigation is warranted.

Chou reported a beneficial effect of Tai Chi, a traditional Chinese exercise, on depressive symptoms, but found that the effect disappeared when changes in social support were controlled for, indicating that social support might be partly responsible for the effect of the exercise on depressive symptoms. Many kinds of physical exercise need a supervisor or instructor, some require a partner, and some are played in groups or teams. The improvements in mental health following physical exercise are at least partly related to the mutual support and social relationships that are provided when participating in physical exercise with others [54].

Although there are several lines of evidence linking resilience to regular physical exercise, to the best our knowledge, this is the first study to investigate the association between regular physical exercise and resilience by using a validated resilience scale. In this study, only 11.6 % of participants engaged in regular physical exercise. It might not be easy for a busy company worker to get into the habit of regular physical exercise. Substantial drop-out rates have been reported in studies of physical exercise interventions [7], and sustaining physical exercise as a fitness habit for the long term is difficult, although it is important for preventing depressive symptoms [55]. Developing the habit of physical exercise itself might reinforce self-esteem because it is a difficult accomplishment; this is one proposed mechanism for the effect of physical exercise on depressive symptoms [56]. Interventional studies for the prevention of depression might also produce resilience even in the absence of a significant change in depressive symptoms themselves. In fact, several approaches that increase resilience, such as well-being therapy, are used to treat depression, not by attenuating and preventing negative symptoms but by promoting positive emotions in order to increase psychological well-being [57–60].

Our study had several limitations. First, due to the cross-sectional nature of the study design, causal relationships between the factors could not be determined. It is also possible that social support and resilience attenuated the depressive symptoms through regular physical exercise, rather than the effects of exercise being mediated by social support and resilience. However, the findings of the current study do not seem to support such mediation models, because the association between regular physical exercise and depression (b path) was weaker than the association between resilience and depressive symptoms and did not reach statistical significance. There are also possible mutual or bidirectional associations among physical activity, social support, and resilience. These associations might be helpful for developing the habit of physical exercise. Second, a response rate was not satisfactory; we could not exclude the risk of the bias. Those who were depressed and sedentary might be reluctant to participate in the research compared with those were not depressed and active such as with regular physical exercise. These biases may attenuate the association among regular exercise, resilience, and depression. No statistically significant difference in CES-D score between the group with regular physical exercise and the group without regular physical exercise in current study might be due to this low response rate. Third, the participants were mainly men, they were highly educated, and they worked for a large Japanese company that provides good job security and a relatively good balance of effort and reward. The company worker from a single large company may be a vulnerable subject and have a potential about deviated report. These characteristics leave open the possibility that the participants are not representative of workers more generally. Further studies should be conducted in a community level or a multi-company level. Forth, information on the frequency of exercise was self-reported, and nondifferential misclassification may be inevitable and could attenuate the observed associations. Finally, residual confounding by uncontrolled or unmeasured factors may have distorted genuine associations.

Conclusion

We assessed the association between regular physical exercise, which is recommended by guidelines for maintaining health, and depressive symptoms in Japanese company workers, taking into account social support and resilience. The results suggest that regular physical exercise might not affect depressive symptoms directly, but might attenuate depressive symptoms indirectly through social support and resilience. In conclusion, the findings of the current study are not inconsistent with regular exercise providing a benefit for reducing depression through social support and resilience, but further investigation is warranted.

Abbreviations

ANCOVA, analysis of covariance; BCACI, bias-corrected and accelerated confidence interval; CES-D, The Center for Epidemiologic Studies Depression; CI, confidence interval; RS-14, 14-item resilience scale; SSQ, Short version of Social Support Questionnaire

References

  1. Adler DA, McLaughlin TJ, Rogers WH, Chang H, Lapitsky L, Lerner D. Job performance deficits due to depression. Am J Psychiatry. 2006;163:1569–76.

    Article  PubMed  PubMed Central  Google Scholar 

  2. Bültmann U, Rugulies R, Lund T, Christensen KB, Labriola M, Burr H. Depressive symptoms and the risk of long-term sickness absence: a prospective study among 4747 employees in Denmark. Soc Psychiatry Psychiatr Epidemiol. 2006;41:875–80.

    Article  PubMed  Google Scholar 

  3. Mykletun A, Overland S, Dahl AA, Krokstad S, Bjerkeset O, Glozier N, Aarø LE, Prince M. A population-based cohort study of the effect of common mental disorders on disability pension awards. Am J Psychiatry. 2006;163:1412–8.

    Article  PubMed  Google Scholar 

  4. Luppa M, Heinrich S, Angermeyer MC, König H-H, Riedel-Heller SG. Cost-of-illness studies of depression: a systematic review. J Affect Disord. 2007;98:29–43.

    Article  PubMed  Google Scholar 

  5. Cuijpers P, Smit F, Oostenbrink J, de Graaf R, Ten Have M, Beekman A. Economic costs of minor depression: a population-based study. Acta Psychiatr Scand. 2007;115:229–36.

    Article  CAS  PubMed  Google Scholar 

  6. Bonde JPE. Psychosocial factors at work and risk of depression: a systematic review of the epidemiological evidence. Occup Environ Med. 2008;65:438–45.

    Article  CAS  PubMed  Google Scholar 

  7. Rimer J, Dwan K, Da L, Ca G, Mcmurdo M, Morley W, Ge M. Exercise for depression. Cochrane Database Syst Rev. 2012;7:CD004366. doi:10.1002/14651858.CD004366.pub5.

    PubMed  Google Scholar 

  8. Atlantis E, Chow C-M, Kirby A, Singh MF. An effective exercise-based intervention for improving mental health and quality of life measures: a randomized controlled trial. Prev Med (Baltim). 2004;39:424–34.

    Article  Google Scholar 

  9. de Zeeuw ELEJ, Tak ECPM, Dusseldorp E, Hendriksen IJM. Workplace exercise intervention to prevent depression: a pilot randomized controlled trial. Ment Health Phys Act. 2010;3:72–7.

    Article  Google Scholar 

  10. Practice guidline for the treatment of patients with major depressive disorder 2013 Ver 1.1 (Japanese publication) [http://www.secretariat.ne.jp/jsmd/mood_disorder/img/130924.pdf]. Accessed 9 July 2016.

  11. Plaisier I, de Bruijn JGM, de Graaf R, Ten Have M, Beekman ATF, Penninx BWJH. The contribution of working conditions and social support to the onset of depressive and anxiety disorders among male and female employees. Soc Sci Med. 2007;64:401–10.

    Article  PubMed  Google Scholar 

  12. Penninx BW, van Tilburg T, Boeke AJ, Deeg DJ, Kriegsman DM, van Eijk JT. Effects of social support and personal coping resources on depressive symptoms: different for various chronic diseases? Health Psychol. 1998;17:551–8.

    Article  CAS  PubMed  Google Scholar 

  13. Dormann C, Zapf D. Social support, social stressors at work, and depressive symptoms: testing for main and moderating effects with structural equations in a three-wave longitudinal study. J Appl Psychol. 1999;84:874–84.

    Article  CAS  PubMed  Google Scholar 

  14. Torres ER, Sampselle CM, Gretebeck KA, Ronis DL, Neighbors HW. Physical activity effects on depressive symptoms in black. J Heal Dispar Res Pr Adults. 2012;4:70–87.

    Google Scholar 

  15. Dowlati Y, Herrmann N, Swardfager W, Liu H, Sham L, Reim EK, Lanctôt KL. A meta-analysis of cytokines in major depression. Biol Psychiatry. 2010;67:446–57.

    Article  CAS  PubMed  Google Scholar 

  16. Teychenne M, Ball K, Salmon J. Physical activity and likelihood of depression in adults: a review. Prev Med (Baltim). 2008;46:397–411.

    Article  Google Scholar 

  17. Cho K-L. Effect of Tai Chi on depressive symptoms amongst Chinese older patients with major depression: the role of social support. Med Sport Sci. 2008;52:146–54.

    Article  PubMed  Google Scholar 

  18. Wagnild GM, Young HM. Development and psychometric evaluation of the resilience scale. J Nurs Meas. 1993;1:165–78.

    CAS  PubMed  Google Scholar 

  19. Gartland D, Bond L, Olsson CA, Buzwell S, Sawyer SM. Development of a multi-dimensional measure of resilience in adolescents: the adolescent resilience questionnaire. BMC Med Res Methodol. 2011;11:134.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Nishi D, Uehara R, Yoshikawa E, Sato G, Ito M, Matsuoka Y. Culturally sensitive and universal measure of resilience for Japanese populations: Tachikawa Resilience Scale in comparison with Resilience Scale 14-item version. Psychiatry Clin Neurosci. 2013;67:174–81.

    Article  PubMed  Google Scholar 

  21. Beasley M, Thompson T, Davidson J. Resilience in response to life stress: the effects of coping style and cognitive hardiness. Pers Individ Dif. 2003;34:77–95.

    Article  Google Scholar 

  22. Tugade MM, Fredrickson BL. Resilient individuals use positive emotions to bounce back from negative emotional experiences. J Pers Soc Psychol. 2004;86:320–33.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Waugh CE, Thompson RJ, Gotlib IH. Flexible emotional responsiveness in trait resilience. Emotion. 2011;11:1059–67.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Silverman MN, Deuster PA. Biological mechanisms underlying the role of physical fitness in health and resilience. Interface Focus. 2014;4:20140040.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Childs E, de Wit H. Regular exercise is associated with emotional resilience to acute stress in healthy adults. Front Physiol. 2014;5:161.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Hamer M, Taylor A, Steptoe A. The effect of acute aerobic exercise on stress related blood pressure responses: a systematic review and meta-analysis. Biol Psychol. 2006;71:183–90.

    Article  PubMed  Google Scholar 

  27. Holmes PV. Trophic mechanisms for exercise-induced stress resilience: potential role of interactions between BDNF and Galanin. Front psychiatry. 2014;5:90.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Russell VA, Zigmond MJ, Dimatelis JJ, Daniels WMU, Mabandla MV. The interaction between stress and exercise, and its impact on brain function. Metab Brain Dis. 2014;29:255–60.

    Article  CAS  PubMed  Google Scholar 

  29. Zschucke E, Renneberg B, Dimeo F, Wüstenberg T, Ströhle A. The stress-buffering effect of acute exercise: evidence for HPA axis negative feedback. Psychoneuroendocrinology. 2015;51:414–25.

    Article  CAS  PubMed  Google Scholar 

  30. Yoshikawa E, Nishi D, Matsuoka Y. Fish consumption and resilience to depression in Japanese company workers: a cross-sectional study. Lipids Health Dis. 2015;14:1–8.

    Article  CAS  Google Scholar 

  31. Radloff LS. The CES-D scale: a self-report depression scale for research in the general population. Appl Psychol Meas. 1977;1:385–401. http://course.duruofei.com/wp-content/uploads/2015/05/Radloff_The-CES-D-scale-a-self-report-depression-scale-for-research-in-the-general-population..pdf Accessed 3 June 2016.

    Article  Google Scholar 

  32. Shima S, Shikano T, Kitamura TAM. A new selfreport depression scale. Seishinigaku. 1985;27:717–23.

    Google Scholar 

  33. Sarason IG, Sarason BR, Shearin EN, Pierce GR. A Brief Measure of Social Support: Practical and Theoretical Implications. J Soc Pers Relat. 1987;497–510. http://web.psych.washington.edu/research/sarason/files/SocialSupportQuestionnaireShort.pdf Accessed 3 June 2016.

  34. Sarason IG, Levine HM, Basham RB, Sarason BR. Assessing social support: the social support questionnaire. J Pers Soc Psychol. 1983;44:127–39.

    Article  Google Scholar 

  35. Furukawa TA, Harai H, Hirai T, Kitamura T, Takahashi K. Social support questionnaire among psychiatric patients with various diagnoses and normal controls. Soc Psychiatr Epidemiology. 1999;34:216–22.

    Article  CAS  Google Scholar 

  36. Wagnild GM. The resilience scale User’s guide for the US english version of the resilience scale and the 14-item Reselience Scale (RS-14). Montana: The Resilience Center; 2009.

    Google Scholar 

  37. Abiola T, Udofia O. Psychometric assessment of the Wagnild and Young’s resilience scale in Kano, Nigeria. BMC Res Notes. 2011;4:509.

    Article  PubMed  PubMed Central  Google Scholar 

  38. Perna L, Mielck A, Lacruz ME, Emeny RT, Holle R, Breitfelder A, Ladwig KH. Socioeconomic position, resilience, and health behaviour among elderly people. Int J Public Health. 2012;57:341–9.

    Article  PubMed  Google Scholar 

  39. Salazar-Pousada D, Arroyo D, Hidalgo L, Pérez-López FR, Chedraui P. Depressive symptoms and resilience among pregnant adolescents: a case–control study. Obstet Gynecol Int. 2010;2010:952493.

    Article  PubMed  Google Scholar 

  40. Damásio BF, Borsa JC, da Silva JP. 14-item resilience scale (RS-14): psychometric properties of the Brazilian version. J Nurs Meas. 2011;19:131–45.

    Article  PubMed  Google Scholar 

  41. Ahern NR, Kiehl EM, Sole ML, Byers J. A review of instruments measuring resilience. Issues Compr Pediatr Nurs. 2006;29:103–25.

    Article  PubMed  Google Scholar 

  42. Nishi D, Uehara R, Kondo M, Matsuoka Y. Reliability and validity of the Japanese version of the resilience scale and its short version. BMC Res Notes. 2010;3:310.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Wei CN, Yonemitsu H, Harada K, Miyakita T, Omori S, Miyabayashi T, Ueda A. A Japanese language version of the health-promoting lifestyle profile. Nihon Eiseigaku Zasshi. 2000;54:597–606.

    Article  CAS  PubMed  Google Scholar 

  44. Baron RM, Kenny DA. The moderator-mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986;51:1173–82.

    Article  CAS  PubMed  Google Scholar 

  45. Preacher KJ, Hayes AF. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behav Res Methods. 2008;40:879–91.

    Article  PubMed  Google Scholar 

  46. Chu AHY, Koh D, Moy FM, Müller-Riemenschneider F. Do workplace physical activity interventions improve mental health outcomes? Occup Med (Lond). 2014;64:235–45.

    Article  CAS  Google Scholar 

  47. Brown JC, Huedo-Medina TB, Pescatello LS, Ryan SM, Pescatello SM, Moker E, LaCroix JM, Ferrer RA., Johnson BT. The efficacy of exercise in reducing depressive symptoms among cancer survivors: a meta-analysis. PLoS One. 2012;7:1–9.

    Google Scholar 

  48. de Graaf LE, Huibers MJH, Cuijpers P, Arntz A. Minor and major depression in the general population: does dysfunctional thinking play a role? Compr Psychiatry. 2010;51:266–74.

    Article  PubMed  Google Scholar 

  49. Kuwahara K, Honda T, Nakagawa T, Yamamoto S, Akter S, Hayashi T, Mizoue T. Associations of leisure-time, occupational, and commuting physical activity with risk of depressive symptoms among Japanese workers: a cohort study. Int J Behav Nutr Phys Act. 2015;12:119.

    Article  PubMed  PubMed Central  Google Scholar 

  50. Al Wise LE. Leisure time physical activity in relation to depressive symptoms in the black Women’s health study. Ann Behav Med. 2006;32(1):68–76.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Ekkekakis P, Hall EE, Petruzzello SJ. Variation and homogeneity in affective responses to physical activity of varying intensities: an alternative perspective on dose–response based on evolutionary considerations. J Sports Sci. 2005;23:477–500.

    Article  PubMed  Google Scholar 

  52. Shrout PE, Bolger N. Mediation in experimental and nonexperimental studies: new procedures and recommendations. Psychol Methods. 2002;7:422–45.

    Article  PubMed  Google Scholar 

  53. MacKinnon DP. Contrasts in multiple mediator models. In Multivariate applications in substance use research: New methods for new questions. 2000;141–160.

  54. Ransford CP. A role for amines in the antidepressant effect of exercise: a review. Med Sci Sports Exerc. 1982;14:1–10.

    Article  CAS  PubMed  Google Scholar 

  55. Torres ER. Physical activity in relation to depressive symptoms in black U.S. adults: Results from the National Survey of American Life. 2009

  56. Daley A. Exercise and depression: a review of reviews. J Clin Psychol Med Settings. 2008;15:140–7.

    Article  PubMed  Google Scholar 

  57. Fava GA, Tomba E. Increasing psychological well-being and resilience by psychotherapeutic methods. J Pers. 2009;77:1903–34.

    Article  PubMed  Google Scholar 

  58. Fava GA, Ruini C, Rafanelli C, Finos L, Conti S, Grandi S. Six-year outcome of cognitive behavior therapy for prevention of recurrent depression. Am J Psychiatry. 2004;161:1872–6.

    Article  PubMed  Google Scholar 

  59. Teasdale JD, Segal ZV, Williams JM, Ridgeway VA, Soulsby JM, Lau MA. Prevention of relapse/recurrence in major depression by mindfulness-based cognitive therapy. J Consult Clin Psychol. 2000;68:615–23.

    Article  CAS  PubMed  Google Scholar 

  60. Waugh CE, Koster EHW. A resilience framework for promoting stable remission from depression. Clin Psychol Rev. 2014;41:49–60.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors thank Koichi Iwata and Toshinari Saeki for their cooperation with the research. We also express special thanks to Mss. Akutsu and Kamoshida for data management and to all participants in this study. We also thank Masami Kashimura for his advice on statistical issues. Dr Yoshikawa has received research support from a Research Promotion Grant of Nippon Medical School and has received lecture fees from Dainippon Pharmaceutical Co., Ltd. and Mochida Pharmaceutical Co., Ltd. Dr. Nishi has received research grants from the Japan Society for the Promotion of Science, the National Center of Neurology and Psychiatry Japan, and Japan Agency for Medical Research and Development, and lecture fees from NTT DoCoMo, Inc., and Otsuka Pharmaceutical Co., Ltd. Dr. Matsuoka has received research support from the Japan Science and Technology Agency, CREST; an Intramural Research Grant for Neurological and Psychiatric Disorders from the National Center of Neurology and Psychiatry Japan, a grant from Pfizer Health Research Foundation; and lecture fees from Ono Pharmaceutical Co. Ltd., Mochida Pharmaceutical Co. Ltd., Takeda Pharmaceutical Company Ltd., Suntory Wellness Ltd., DHA & EPA Association, and Otsuka Pharmaceutical Co., Ltd.

Funding

This study was supported by grants from the Foundation for Total Health Promotion and CREST, Japan Science and Technology Agency.

Availability of data and materials

Not be shared. All the data sets are not deposited in publicly available repositories because when this research plan was approved by the institutional review boards of both the National Disaster Medical Center and the companies, these matter was not included and not discussed. Therefore, we did not obtain consent from the participants about this matter. Furthermore, we have thought that this matter has potentially sensitive topic for companies, which are not willing to disclose their employee’s data in details.

Authors’ contributions

The authors alone are responsible for the content and writing of the paper. EY participated in the study to a significant extent and worked on study conception and design; data collection and carried out the development of this manuscript and data analysis. DN participated in the study to a significant extent and worked on study conception and design; data collection, analysis, interpretation and in drafting and editing the manuscript. YM participated in the study to a significant extent and worked on study conception and design; data collection, in drafting and editing the manuscript. All authors contributed to the intellectual content of the article and read and approved the submitted manuscript.

Competing interests

The authors declare that they have no competing interests.

Consent for publication

Not applicable.

Ethics approval and consent to participate

This study was approved by the institutional review boards of both the National Disaster Medical Center and the companies. All participants have provided written informed consent.

Author information

Authors and Affiliations

  1. Department of Neuropsychiatry, Nippon Medical School Tama Nagayama Hospital, 1-7-1 Nagayama Tama City, Tokyo, 206-8512, Japan

    Eisho Yoshikawa

  2. Department of Neuropsychiatry, Nippon Medical School, 1-1-5 Sendagi, Bunkyo, Tokyo, 113-8602, Japan

    Eisho Yoshikawa

  3. Department of Psychiatry, National Disaster Medical Center, 3256 Midoricho, Tachikawa, Tokyo, 190-0014, Japan

    Daisuke Nishi & Yutaka J. Matsuoka

  4. Department of Mental Health Policy and Evaluation, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawahigashi-cho, Kodaira, Tokyo, 187-8553, Japan

    Daisuke Nishi

  5. Division of Health Care Research, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan

    Yutaka J. Matsuoka

Authors
  1. Eisho Yoshikawa
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Daisuke Nishi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Yutaka J. Matsuoka
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Daisuke Nishi.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yoshikawa, E., Nishi, D. & Matsuoka, Y.J. Association between regular physical exercise and depressive symptoms mediated through social support and resilience in Japanese company workers: a cross-sectional study. BMC Public Health 16, 553 (2016). https://doi.org/10.1186/s12889-016-3251-2

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-016-3251-2

Keywords

BMC Public Health

ISSN: 1471-2458

Contact us