Article Data

  • Views 983
  • Dowloads 162

Original Research

Open Access

Gender difference in the relationships between behavioral risk factors and depression in older Korean adults

  • Haeryun Hong1
  • Seamon Kang1
  • Jeonghyeon Kim1
  • Ji-Young Gong1
  • Hyunsik Kang1,*,

1College of Sport Science, Sungkyunkwan University, 16419 Suwon, Republic of Korea

DOI: 10.31083/j.jomh1803067 Vol.18,Issue 3,March 2022 pp.1-8

Submitted: 05 October 2021 Accepted: 02 November 2021

Published: 31 March 2022

*Corresponding Author(s): Hyunsik Kang E-mail: hkang@skku.edu

Abstract

Background: Gender difference regarding the relationship between lifestyle choices and depression is unclear in Korea. This study investigated the relationship between behavioral risk factors and depression by gender in older Korean adults. Methods: The data used in the current study were obtained from 5024 participants aged 60 years and older (56% women) of the sixth and seventh editions of the Korea National Health and Examination Survey (KNHANES). The main outcome was depression, which was assessed using the Patient Health Questionnaire (PHQ)-9. Exposures included smoking, at-risk alcohol consumption, physical inactivity, and inadequate sleep. Body mass index (BMI), household income, educational background, marital status, and number of existing diseases were included as covariates. Results: Depressed persons were older (p = 0.003), had lower income (p < 0.001), lower marital status (p = 0.021), lower education (p < 0.001), lower smoking (p = 0.003), higher rates of physical inactivity (p = 0.009) and inadequate sleep (p = 0.011), and higher number of existing diseases (p < 0.001) compared with not depressed persons. Regression analysis showed that depression was significantly associated with sex (p < 0.001), BMI (p < 0.001), income (p < 0.001), education (p = 0.001), smoking (p = 0.033), physical inactivity (p = 0.021), inadequate sleep (p < 0.001), and number of existing diseases (p < 0.001). Generalized linear regression analysis showed a significant interaction between gender and number of unhealthy behaviors on the PHQ-9 score (p = 0.004), such that depression risk was significantly associated with clustered unhealthy behaviors in women only. Conclusions: The current findings showed that physical inactivity and inadequate sleep were independent predictors for depression in women, with no such relationship in men.

Keywords

Major depressive symptom; Healthy lifestyles; Physical activity; Insomnia; Koreans

Cite and Share

Haeryun Hong,Seamon Kang,Jeonghyeon Kim,Ji-Young Gong,Hyunsik Kang. Gender difference in the relationships between behavioral risk factors and depression in older Korean adults. Journal of Men's Health. 2022. 18(3);1-8.

References

[1] World Health Organization. Depression. 2020. Available at: https://www.who.int/en/news-room/fact-sheets/detail/depression (Accessed: 30 January 2020).

[2] Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010. Lancet. 2013; 382: 1575–1586.

[3] Albert PR. Why is depression more prevalent in women? Jour-nal of Psychiatry & Neuroscience. 2015; 40: 219–221.

[4] Young MA, Fogg LF, Scheftner WA, Keller MB, Fawcett JA. Sex differences in the lifetime prevalence of depression: does varying the diagnostic criteria reduce the female/male ratio?Journal of Affective Disorders. 1990; 18: 187–192.

[5] Salk RH, Hyde JS, Abramson LY. Gender differences in depres-sion in representative national samples: Meta-analyses of diag-noses and symptoms. Psychological Bulletin. 2017; 143: 783–822.

[6] He Q, Yang L, Shi S, Gao J, Tao M, Zhang K, et al. Smoking and major depressive disorder in Chinese women. PLoS ONE. 2014; 9: e106287.

[7] Meng X, D’Arcy C. The projected effect of increasing physical activity on reducing the prevalence of common mental disorders among Canadian men and women: a national population-based community study. Preventive Medicine. 2013; 56: 59–63.

[8] Manninen L, Poikolainen K, Vartiainen E, Laatikainen T. Heavy drinking occasions and depression. Alcohol and Alcoholism. 2006; 41: 293–299.

[9] Nutt D, Wilson S, Paterson L. Sleep disorders as core symp-toms of depression. Dialogues in Clinical Neuroscience. 2008; 10: 329–336.[11] Freeman A, Tyrovolas S, Koyanagi A, Chatterji S, Leonardi M, Ayuso-Mateos JL, et al. The role of socio-economic status in depression: results from the COURAGE (aging survey in Europe). BMC Public Health. 2016; 16: 1098.

[12] Tanaka H, Sasazawa Y, Suzuki S, Nakazawa M, Koyama H. Health status and lifestyle factors as predictors of depression in middle-aged and elderly Japanese adults: a seven-year followup of the Komo-Ise cohort study. BMC Psychiatry. 2011; 11: 20.

[13] Taylor KL, Simpson S, Jelinek GA, Neate SL, De Livera AM, Brown CR, et al. Longitudinal Associations of Modifiable Lifestyle Factors with Positive Depression-Screen over 2.5- Years in an International Cohort of People Living with Multiple Sclerosis. Frontiers in Psychiatry. 2018; 9: 526.

[14] Roh S, Lee S, Soh M, Ryu V, Kim H, Jang JW, et al. Mental health services and R&D in South Korea. International Journal of Mental Health Systems. 2016; 10: 45.

[15] Noh J, Kwon YD, Park J, Oh I, Kim J. Relationship between Physical Disability and Depression by Gender: a Panel Regression Model. PLoS ONE. 2016; 11: e0166238.

[16] Chang SM, Hong J, Cho MJ. Economic burden of depression in South Korea. Social Psychiatry and Psychiatric Epidemiology. 2012; 47: 683–689.

[17] Shin D, Kim NW, Kim MJ, Rhee SJ, Park CHK, Kim H, et al. Cost analysis of depression using the national insurance system in South Korea: a comparison of depression and treatmentresistant depression. BMC Health Services Research. 2020; 20: 286.

[18] Lee S, Park J, Lee S, Oh I, Choi J, Oh C. Changing trends in suicide rates in South Korea from 1993 to 2016: a descriptive study. BMJ Open. 2018; 8: e023144.

[19] Kim GE, Jo M, Shin Y. Increased prevalence of depression in South Korea from 2002 to 2013. Scientific Reports. 2020; 10: 16979.

[20] Jang BN, Lee HJ, Joo JH, Park E, Jang S. Association between health behaviours and depression: findings from a national cross-sectional study in South Korea. BMC Psychiatry. 2020; 20: 238.

[21] Park YS, Kim H. Gender differences in healthy lifestyle clusters and their relationship with depressive symptoms among middleaged and older adults in Korea. Korean Journal of Health Edu-cation and Promotion. 2016; 33: 1–12.

[22] Korean Ministry of Health and Welfare, Korea Center for Dis-ease Control and Prevention. Korea National Health and Nu-trition Examination Survey (KNHANES VII). 2018. Available at: https://knhanes.kdca.go.kr/knhanes/sub03/sub03_02_05.do (Accessed: 20 May 2021).

[23] Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. Journal of General Internal Medicine. 2001; 16: 606–613.

[24] Lee S, Huh Y, Kim J, Hang C. Finding optimal cut off points of the Korean version of the patient health questionnaire-9 (PHQ- 9) for screening depressive disorders. Motivation and Emotion. 2014; 12: 32–36.

[25] Shin C, Kim Y, Park S, Yoon S, Ko YH, Kim YK, et al. Preva-lence and Associated Factors of Depression in General Popula-tion of Korea: Results from the Korea National Health and Nu-trition Examination Survey, 2014. Journal of Korean Medical Science. 2017; 32: 1861–1869.

[26] Shin Y, Kim J, Seol J, Oh K, Shin D, Kim E, et al. Long and short sleep duration are both associated with suicidal ideation in Korean employees. Sleep and Biological Rhythms. 2017; 15: 81–86.

[27] Silva LRB, Seguro CS, de Oliveira CGA, Santos POS, de Oliveira JCM, de Souza Filho LFM, et al. Physical inactivity is associated with increased levels of anxiety, depression, and stress in Brazilians during the COVID-19 pandemic: a cross-sectional study. Front Psychiatry. 2020; 11: 565291.

[28] Sarris J, Thomson R, Hargraves F, Eaton M, de Manincor M, Veronese N, et al. Multiple lifestyle factors and depressed mood: a cross-sectional and longitudinal analysis of the UK Biobank (N  =  84,860). BMC Medicine. 2019; 18: 354.

[29] Stickley A, Leinsalu M, DeVylder JE, Inoue Y, Koyanagi A. Sleep problems and depression among 237 023 community-dwelling adults in 46 low- and middle-income countries. Sci-entific Reports. 2019; 9: 12011.

[30] Liu RQ, Bloom MS, Wu QZ, He ZZ, Qian Z, Stamatakis KA, et al. Association between depressive symptoms and poor sleep quality among Han and Manchu ethnicities in a large, rural, Chinese population. PLoS ONE. 2019; 14: e0226562.

[31] Sukegawa T, Itoga M, Seno H, Miura S, Inagaki T, Saito W, et al. Sleep disturbances and depression in the elderly in Japan. Psychiatry and Clinical Neurosciences. 2003; 57: 265–270.

[32] Kim WJ, Joo W, Baek J, Sohn SY, Namkoong K, Youm Y, et al. Factors Associated with Insomnia among the Elderly in a Korean Rural Community. Psychiatry Investigation. 2017 14: 400–406.

[33] Kim YB, Lee SH. Gender Differences in the Relationship be-tween Living alone and Depressive Symptoms in Elderly Korean Adults. Iranian Journal of Public Health. 2019; 48: 465–473.

[34] Daniëlle O, Tibubos AN, Schomerus G, Binder H, Kruse J, Lad-wig KH, et al. Similarities and differences of mental health in women and men: a systematic review of findings in three large German cohorts. Front Public Health. 2021; 9: 553071.

[35] Back JH, Lee Y. Gender differences in the association between socioeconomic status (SES) and depressive symptoms in older adults. Archives of Gerontology and Geriatrics. 2011; 52: e140–e144.

[36] Stegenga BT, King M, Grobbee DE, Torres-González F, Švab I, Maaroos H, et al. Differential Impact of Risk Factors for Women and Men on the Risk of Major Depressive Disorder. Annals of Epidemiology. 2012; 22: 388–396.

[37] Fang H, Tu S, Sheng J, Shao A. Depression in sleep disturbance: a review on a bidirectional relationship, mechanisms and treat-ment. Journal of Cellular and Molecular Medicine. 2019; 23: 2324–2332.

[38] Kang M, Joo M, Hong H, Kang H. The relationship of lifestyle risk factors and depression in Korean adults: a moderating effect of overall nutritional adequacy. Nutrients. 2021; 13: 2626.

[39] Cho J, Jin Y, Kang H. Weight Status, Physical Activity, and Depression in Korean Older Adults. Journal of Epidemiology. 2018; 28: 292–299.

[40] Pan A, Keum N, Okereke OI, Sun Q, Kivimaki M, Rubin RR, et al. Bidirectional association between depression and metabolic syndrome: a systematic review and meta-analysis of epidemio-logical studies. Diabetes Care. 2012; 35: 1171–1180.

[41] Hsu MF, Lee KY, Lin TC, Liu WT, Ho SC. Subjective sleep quality and association with depression syndrome, chronic dis-eases and health-related physical fitness in the middle-aged and elderly. BMC Public Health. 2021; 21: 164.

Abstracted / indexed in

Science Citation Index Expanded (SciSearch) Created as SCI in 1964, Science Citation Index Expanded now indexes over 9,200 of the world’s most impactful journals across 178 scientific disciplines. More than 53 million records and 1.18 billion cited references date back from 1900 to present.

Journal Citation Reports/Science Edition Journal Citation Reports/Science Edition aims to evaluate a journal’s value from multiple perspectives including the journal impact factor, descriptive data about a journal’s open access content as well as contributing authors, and provide readers a transparent and publisher-neutral data & statistics information about the journal.

Directory of Open Access Journals (DOAJ) DOAJ is a unique and extensive index of diverse open access journals from around the world, driven by a growing community, committed to ensuring quality content is freely available online for everyone.

SCImago The SCImago Journal & Country Rank is a publicly available portal that includes the journals and country scientific indicators developed from the information contained in the Scopus® database (Elsevier B.V.)

Publication Forum - JUFO (Federation of Finnish Learned Societies) Publication Forum is a classification of publication channels created by the Finnish scientific community to support the quality assessment of academic research.

Scopus: CiteScore 0.9 (2023) Scopus is Elsevier's abstract and citation database launched in 2004. Scopus covers nearly 36,377 titles (22,794 active titles and 13,583 Inactive titles) from approximately 11,678 publishers, of which 34,346 are peer-reviewed journals in top-level subject fields: life sciences, social sciences, physical sciences and health sciences.

Norwegian Register for Scientific Journals, Series and Publishers Search for publication channels (journals, series and publishers) in the Norwegian Register for Scientific Journals, Series and Publishers to see if they are considered as scientific. (https://kanalregister.hkdir.no/publiseringskanaler/Forside).

Submission Turnaround Time

Conferences

Top