Gender differences in the interaction effect of cumulative risk and problem-focused coping on depression among adult employees
Autoři:
Shi-Min Chen aff001; Pei-Zhen Sun aff002
Působiště autorů:
School of Public Administration, China University of Mining and Technology, Xuzhou, China
aff001; School of Educational Science, Jiangsu Normal University, Xuzhou, China
aff002
Vyšlo v časopise:
PLoS ONE 14(12)
Kategorie:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0226036
Souhrn
The adult employees suffer from various pressure and their mental health has been paid more and more attention to. This study has two purposes, namely, (1) to investigate the gender differences in the stressors and utilization frequency of problem-focused coping among adult employees and (2) to explore the gender differences in the interaction effect of cumulative risk and problem-focused coping on depression among adult employees. The cumulative risk of employees was assessed in the following six ways: health pressure, family economic pressure, love and marriage problems, conflicts among family members, work stress and friend support. Problem-focused coping was measured by the three dimensions of active coping, planning, and using instrumental support from the Brief COPE scale, and depression was assessed by the Self-rating Depression Scale. The participants consisted of 406 Chinese employees. The results showed that (1) the cumulative risk of male employees was marginally significantly higher than that of female employees; (2) there was no significant difference in the utilization frequency of problem-focused coping between male and female employees; and (3) problem-focused coping moderated the relationship between cumulative risk and depression for male employees but not for female employees. This study indicates that problem-focused coping has a stronger effect on depression for male employees than for female employees.
Klíčová slova:
Adolescents – Adults – Depression – Employment – Labor economics – Medical risk factors – Research validity – Household economics
Zdroje
1. Strawbridge WJ, Deleger S, Roberts RE, Kaplan GA. Physical activity reduces the risk of subsequent depression for older adults. American Journal of Epidemiology. 2002; 156:328–34. doi: 10.1093/aje/kwf047 12181102
2. Hammarstrom A, Lehti A, Danielsson U, Bengs C, Johansson EE. Gender-related explanatory models of depression: A critical evaluation of medical articles. Public Health. 2009; 123:689–93. doi: 10.1016/j.puhe.2009.09.010 19853877
3. Hankin BL, Mermelstein R, Roesch L. Sex differences in adolescent depression: Stress exposure and reactivity models. Child Development. 2007; 78(1):279–95. doi: 10.1111/j.1467-8624.2007.00997.x 17328705
4. Marcotte D, Alain M, Gosselin M-J. Gender differences in adolescent depression: Gender-typed characteristics or problem-solving skills deficits? Sex Roles. 1999; 41(1–2):31–48.
5. Salk RH, Hyde JS, Abramson LY. Gender differences in depression in representative national samples: Meta-analyses of diagnoses and symptoms. Psychological Bulletin. 2017; 143(8):783–822. doi: 10.1037/bul0000102 28447828
6. Evans GW, Li D-P, Whipple SS. Cumulative Risk and Child Development. Psychological Bulletin. 2013; 139(6):1342–96. doi: 10.1037/a0031808 23566018
7. Masten AS. Global Perspectives on Resilience in Children and Youth. Child Development. 2014; 85(1):6–20. doi: 10.1111/cdev.12205 24341286
8. Buehler C, Gerard JM. Cumulative family risk predicts increases in adjustment difficulties across early adolescence. Journal of Youth and Adolescence. 2013; 42:905–20. doi: 10.1007/s10964-012-9806-3 22915131
9. Day J, Ji P, Dubois DL, Silverthorn N, Flay B. Cumulative social-environmental adversity exposure as predictor of psychological distress and risk behavior in urban youth. Child and Adolescent Social Work Journal. 2016; 33(3):219–35.
10. Gerard J, Buehler C. Cumulative environmental risk and youth maladjustment: The role of youth attributes. Child Development. 2004; 75(6):1832–49. doi: 10.1111/j.1467-8624.2004.00820.x 15566383
11. Newsome J, Vaske JC, Gehring KS, Boisvert DL. Sex differences in sources of resilience and vulnerability to risk for delinquency. Journal of Youth and Adolescence. 2016; 45:730–45. doi: 10.1007/s10964-015-0381-2 26525388
12. Yang M-Y, Maguire-Jack K. Individual and cumulative risks for child abuse and neglect. Family Relations. 2018; 67:287–301.
13. Stoltenborgh M, Bakermans-Kranenburg MJ, Alink LRA, van Ijzendoorn MH. The prevalence of child maltreatment across the globe: Review of a series of meta-analyses. Child Abuse Review. 2014; 24(1):37–50.
14. Assari S, Smith JR, Caldwell CH, Zimmerman MA. Gender differences in longitudinal links between neighborhood fear, parental support, and depression among African American emerging adults. Societies. 2015; 5(1):151–70.
15. Kort-Butler LA. Coping styles and sex differences in depressive symptoms and delinquent behavior. Journal of Youth and Adolescence. 2009; 38(1):122–36. doi: 10.1007/s10964-008-9291-x 19636796
16. Wiggins JS. Agency and communion as conceptual coordinates for the understanding and measurement of interpersonal behavior. In: Grove WM, Cicchetti D, editors. Thinking clearly about psychology. Minneapolis: University of Minnesota Press; 1991.
17. Tamres LK, Janicki D, Helgeson VS. Sex differences in coping behavior: A meta-analytic review and an examination of relative coping. Personality and Social Psychology Review. 2002; 6(1):2–30.
18. Frosta A, Hoytb LT, Chungc AL, Adamcd EK. Daily life with depressive symptoms: Gender differences in adolescents’ everyday emotional experiences. Journal of adolescence. 2015; 43:132–41. doi: 10.1016/j.adolescence.2015.06.001 26107805
19. Granrud MD, Steffenak AKM, Theander K. Gender differences in symptoms of depression among adolescents in Eastern Norway: Results from a cross-sectional study. Scandinavian Journal of Public Health. 2019; 47(2):157–65. doi: 10.1177/1403494817715379 28669279
20. McGuinness TM, Dyer JG, Wade EH. Gender Differences in Adolescent Depression. Journal of Psychosocial Nursing and Mental Health Services. 2012; 50(12):17–20. doi: 10.3928/02793695-20121107-04 23457713
21. Salk RH, Petersen JL, Abramson LY, Hyde JS. The contemporary face of gender differences and similarities in depression throughout adolescence: Development and chronicity. Journal of Affective Disorders. 2016; 205:28–35. doi: 10.1016/j.jad.2016.03.071 27391269
22. Choi NG, Kim J. Relationship between spouse/partner support and depressive symptoms in older adults: Gender difference. Aging and Mental Health. 2011; 15(3):307–17. doi: 10.1080/13607863.2010.513042 21140305
23. Guo M, Chi I, Silverstein M. Intergenerational support and depression among Chinese older adults: Do gender and widowhood make a difference? Ageing and Society. 2017; 37(4):695–724.
24. Kim J, Richardson V, Park B, Park M. A multilevel perspective on gender differences in the relationship between poverty status and depression among older adults in the United States. Journal of Women Aging. 2013; 25(3):207–26. doi: 10.1080/08952841.2013.795751 23767837
25. Lim EJ. Gender differences in the relationship between physical functioning and depressive symptoms in low-income older adults living alone. Nursing and Health Sciences. 2014; 16(3):381–6. doi: 10.1111/nhs.12119 24636204
26. Lin H-W, Hsu H-C, Chang M-C. Gender differences in the association between stress trajectories and depressive symptoms among middle aged and older adults in Taiwan. Journal of Women and Aging. 2011; 23(3):233–45. doi: 10.1080/08952841.2011.587738 21767087
27. Chang X-D, Ma D-Y. The correlation between job burnout and depression among enterprise employees. Chinese Journal of Health Psychology. 2013; 21(11):1663–6.
28. Zhang S-W, Li D-M, Chen X-R. An investigation of the condition of depression and its influencing factors among 400 employees in Guangzhou. Journal of Guangdong Medical College. 2012; 30(6):655–8.
29. Xu J-P, Zhao R, Li X-L. The condition of depression and its influencing factors among employees of an electronic enterprise. Occupational Health and Emergency Rescue. 2017; 35(1):6–8.
30. Valente MSS, Menezes PR, Pastor-Valero M, Lopes CS. Depressive symptoms and psychosocial aspects of work in bank employees. Occupational Medicine 2016; 66:54–61. doi: 10.1093/occmed/kqv124 26416843
31. Shin Y-C, Lee D, Seol J, Lim S-W. What kind of stress is associated with depression, anxiety and suicidal ideation in Korean employees? Journal of Korean Medical Science. 2017; 32(5):843–9. doi: 10.3346/jkms.2017.32.5.843 28378560
32. Aldao A, Nolen-Hoeksema S. The influence of context on the implementation of adaptive emotion regulation strategies. Behaviour Research and Therapy. 2012; 50(7–8):493–501. doi: 10.1016/j.brat.2012.04.004 22659159
33. Aldao A, Nolen-Hoeksema S, Schweizer S. Emotion-regulation strategies across psychopathology: A meta-analytic review. Clinical Psychology Review. 2010; 30(2):217–37. doi: 10.1016/j.cpr.2009.11.004 20015584
34. Hill LK, Hoggard LS. Active coping moderates associations among race-related stress, rumination, and depressive symptoms in emerging adult African American women. Development and Psychopathology. 2019; 30:1817–35.
35. Gavin AR, Chae DH, Takeuchi D. Association between family structure in childhood and lifetime depressive disorder in adulthood among a nationally representative sample of Blacks. General Hospital Psychiatry. 2009; 31:484–93. doi: 10.1016/j.genhosppsych.2009.06.002 19703643
36. Hawkins MA, Goldstein CM, Dolansky MA, Gunstad J, Redle JD, Josephson R, et al. Depressive symptoms are associated with obesity in adults with heart failure: An analysis of gender differences. European Journal of Cardiovascular Nursing. 2015; 14(6):516–24. doi: 10.1177/1474515114542558 25031311
37. Gallo EAG, Munhoz TN, Mola CLd, Murray J. Gender differences in the effects of childhood maltreatment on adult depression and anxiety: A systematic review and meta-analysis. Child Abuse and Neglect. 2018; 79:107–14. doi: 10.1016/j.chiabu.2018.01.003 29428878
38. Shieh G. Detecting interaction effects in moderated multiple regression with continuous variables: Power and sample size considerations. Organizational Research Methods. 2009; 12(3):510–28.
39. Zheng Y-P, Yang D-S. A survey of life events of Chinese. Chinese Journal of Mental Health. 1990; 4(6):262–7.
40. Bai Y-L. Relationship among work stress, organizational support and job burtout [Doctoral Dissertation]. Beijing: Capital University of Economics and Business; 2010.
41. Bai Y-L. Influence of organizational support on work stress. Journal of Beijing Institute of Fashion Technology. 2011; 31(3):59–70.
42. Cooper CL, Sloan S, Williams S. Occupational Stress Indicator. Windsor: NFER-Nelson; 1988.
43. Zimet GD, Dahlem NW, Zimet SG, Farley GK. The multidimensional scale of perceived social support. Journal of Personality Assessment. 1988; 52(1):30–41.
44. Huang L, Jiang QJ, Ren WH. Relationship among coping style, social support and mental health in cancer patients. Chinese Journal of Mental Health. 1996; 10(4):160–1.
45. Carver CS. You want to measure coping but your protocol’s too long: Consider the brief COPE. International Journal of Behavioral Medicine. 1997; 4(1):92–100. doi: 10.1207/s15327558ijbm0401_6 16250744
46. Zung WW. A Self-rating Depression Scale. Archives of General Psychiatry. 1965; 12:63–70. doi: 10.1001/archpsyc.1965.01720310065008 14221692
47. Wang Z-Y, Chi Y-F. Self-rating Depression Scale. Shanghai Archives of Psychiatry. 1984; (2):71–2.
48. Shao Z. Psychological and Educational Statistics. Shanghai: Shanghai Science Press; 2004.
49. Aiken L, West SG. Multiple regression: Testing and interpreting interactions. Newbury Park: CA: Sage; 1991.
50. Hayes AF, Matthes J. Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods. 2009; 41(3):924–36. doi: 10.3758/BRM.41.3.924 19587209
51. Preacher KJ, Curran PJ, Bauer DJ. Computational tools for probing interactions in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics. 2006; 31(4):437–48.
52. Spiller SA, Fitzsimons GJ, Lynch JG, McClelland GH. Spotlights, floodlights, and the magic number zero: Simple effects tests in moderated regression. Journal of Marketing Research. 2013; 50(4):277–88.
53. Kaliterna L, Larsen ZP, Franc R. Age and gender differences in affect regulation strategies. Journal for General Social Issues. 2009; 18(6):1075–88.
54. Monteiro NM, Balogun SK, Oratile KN. Managing stress: The influence of gender, age and emotion regulation on coping among university students in Botswana. International Journal of Adolescence and Youth. 2014; 19(2):153–73. doi: 10.1080/02673843.2014.908784 24910491
55. Sun Y-Y. An analysis of the symbolic meaning of "manly women". Studies in Chinese Youth. 2014; 7:11–5.
56. Li C, Chu F, Wang H, Wang X-P. Efficacy of Williams Life Skills training for improving psychological health: A pilot comparison study of Chinese medical students. Asia-Pacific Psychiatry. 2014; 6:161–9. doi: 10.1111/appy.12084 23857943
Článek vyšel v časopise
PLOS One
2019 Číslo 12
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