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Factors Influencing Depression in Stressed Adults by Age

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초록

This study aimed to identify the factors that influence depression in stressed adults by age. Data were extracted from the 7th Korea National Health and Nutrition Examination Survey, covering 3,333 adults aged 20 to 59 years who were highly aware of stress. Linear regression analysis was performed using the IBM SPSS 25.0 program. The study found that in the case of people in their 20s, education level, health-related quality of life, obesity, weight change, smoking, and subjective body type were significant influencing factors, with an explanatory power of 60.3%. In the case of people in their 30s, gender, household income level, living with spouse, economic activity, health-related quality of life, food intake, obesity, alcohol consumption, smoking, and subjective health were significant influencing factors, with an explanatory power of 30.3%. For people in their 40s, household income level, living with spouse, economic activity, health-related quality of life, smoking, aerobic exercise, and subjective health were significant influencing factors, with an explanatory power of 34.4%. For people in their 50s, gender, education level, income, economic activity, health-related quality of life, protein intake, fat intake, high blood pressure, diabetes, weight control, aerobic exercise, subjective health, and subjective body type were significant influencing factors, with an explanatory power of 42.3%. Therefore, as it was found through this study that the factors affecting depression in stressed adults differ by age, it is necessary to establish an intervention strategy for each age when trying to lower depression in stressed adults.

Abstract

This study aimed to identify the factors that influence depression in stressed adults by age. Data were extracted from the 7th Korea National Health and Nutrition Examination Survey, covering 3,333 adults aged 20 to 59 years who were highly aware of stress. Linear regression analysis was performed using the IBM SPSS 25.0 program. The study found that in the case of people in their 20s, education level, health-related quality of life, obesity, weight change, smoking, and subjective body type were significant influencing factors, with an explanatory power of 60.3%. In the case of people in their 30s, gender, household income level, living with spouse, economic activity, health-related quality of life, food intake, obesity, alcohol consumption, smoking, and subjective health were significant influencing factors, with an explanatory power of 30.3%. For people in their 40s, household income level, living with spouse, economic activity, health-related quality of life, smoking, aerobic exercise, and subjective health were significant influencing factors, with an explanatory power of 34.4%. For people in their 50s, gender, education level, income, economic activity, health-related quality of life, protein intake, fat intake, high blood pressure, diabetes, weight control, aerobic exercise, subjective health, and subjective body type were significant influencing factors, with an explanatory power of 42.3%. Therefore, as it was found through this study that the factors affecting depression in stressed adults differ by age, it is necessary to establish an intervention strategy for each age when trying to lower depression in stressed adults.

참고문헌 (36)

  1. W. Y. A. Wahed, "Prevalence and associated factors of stress, anxiety and depression among medical Fayoum University students", Alexandria Journal of Medicine, 53(1), pp.77~84 (2017)
  2. Mental health action plan 2013 – 2020, "World Health Organization", WHO, ~ (2018)
  3. Depression and other common mental disorders : global health estimates, "World Health Organization", WHO, ~ (2017)
  4. "Depression" (2022)[URL]
  5. M. Çakıcı, "Depression : point-prevalence and risk factors in a North Cyprus household adult cross-sectional study", BMC Psychiatry, 17(1), pp.1~11 (2017)[DOI]
  6. E. A. Klonoff, "Depressive symptoms and smoking among US black adults : absence of a relationship", Journal of health psychology, 6(6), pp.645~649 (2001)[DOI]
  7. X. Y. Yan, "Marital status and risk for late life depression : a meta-analysis of the published literature", Journal of International Medical Research, 39(4), pp.1142~1154 (2011)
  8. 이지선, "종합병원 여성간호사의 폭력경험이 우울에 미치는 영향", 한국콘텐츠학회 논문지, 18(2), pp.103~112 (2018), 한국콘텐츠학회[DOI]
  9. 공보경, "한국의 젊은 성인에서 우울 관련 요인: 제7기 3차년도국민건강영양 조사(2018)", Korean Journal of Family Practice, 11(4), pp.296~303 (2021), 대한가정의학회[DOI]
  10. 권명진, "성인의 스트레스 원인별 우울에 영향을 미치는 요인", 한국융합학회논문지, 12(12), pp.453~465 (2021), 한국융합학회[DOI]
  11. Z. Luo, "Gender-specific prevalence and associated factors of major depressive disorder and generalized anxiety disorder in a Chinese rural population : the Henan rural cohort study", BMC Public Health, 19, pp.1744~ (2019)[DOI]
  12. 김지인, "에코붐 세대의 우울에 영향을 미치는 요인", 디지털융복합연구, 16(11), pp.341~352 (2018), 한국디지털정책학회[DOI]
  13. 한영란, "재가 노인을 위한 집단인지기능향상프로그램이 인지기능, 우울 및 삶의 질에 미치는 효과", Journal of Korean Academy of Nursing, 40(5), pp.724~735 (2010), 한국간호과학회
  14. 안상현, "12주간 운동 프로그램이 노인의 인지기능, 불안 및 생활 만족도에 미치는 영향", 디지털융복합연구, 17(7), pp.401~408 (2019), 한국디지털정책학회[DOI]
  15. 천숙희, "청소년기 여성의 섭식행동과 우울, 분노 분노표현 및 개인적 특성(BAS", BIS)에 관한 연구, 2007, pp.13(4), 310~319[DOI]
  16. 손숙미, "도시 저소득층 여자노인의 고지혈증과 관련된우울정도와 식생활 요인에 관한 연구", 대한지역사회영양학회지, 8(6), pp.938~950 (2003), 대한지역사회영양학회
  17. 추지은, "만 40세 성인의 우울기분과 생활습관과의 관계", 한국식품영양과학회지, 43(5), pp.772~783 (2014), 한국식품영양과학회
  18. 손애리, "구조방정식 모형을 이용한 스트레스, 우울 및 문제음주 간의 관련성 연구", 보건과 사회과학, (27), pp.61~80 (2010), 한국보건사회학회
  19. D. Vink, "Risk factors for anxiety and depression in the older: a review", Journal of affective disorders, 106(1-2), pp.29~44 (2008)[DOI]
  20. J. K. Djernes, "Prevalence and predictors of depression in populations of elderly : a review", Acta Psychiatrica Scandinavica, 113(5), pp.372~387 (2006)[DOI]
  21. 김정유, "사회적 지지가 중소도시 노인의 우울에 미치는 영향", 한국콘텐츠학회 논문지, 15(4), pp.208~219 (2015), 한국콘텐츠학회[DOI]
  22. T. L. Kuther, "A Life Span Developmental Perspective on Psychosocial Development in Midlife", Adultspan Journal, 18(1), pp.27~39 (2019)[DOI]
  23. 경선정, "다차원적 관계의 지지와 갈등이 우울과 회복탄력성에 미치는 영향: 연령의 상호작용 효과", 한국심리학회지: 발달, 34(3), pp.87~114 (2021), 한국심리학회 산하 한국발달심리학회[DOI]
  24. R. S. Stawski, "Age differences in everyday stressor-related negative affect : A coordinated analysis", Psychology and Aging, 34(1), pp.91~105 (2019)[DOI]
  25. C. L. Rock, "Multivitamin-multimineral supplements: who uses them?", The American journal of clinical nutrition, 85(1), pp.277S~279S (2007)[DOI]
  26. J. E. Lansford, "Handbook of well-being" (2018), DEF Publishers
  27. J. F. Helliwell, "Measuring and Explaining Subjective Well-being in Korea" (2014), Korea Development Institute
  28. 강상경, "사회경제적 지위가 우울수준에 미치는 영향의 생애주기별 차이에 대한 탐색적 고찰", 정신건강과 사회복지, (30), pp.332~355 (2008), 한국정신건강사회복지학회
  29. 구슬, "성인의 외식 빈도와 관련된 식습관 및 생활습관 요인 분석", 한국식품영양과학회지, 42(5), pp.705~712 (2013), 한국식품영양과학회
  30. H. Lim, "Body weight misperception patterns and their association with health-related factors among adolescents in South Korea", Obesity, 21(12), pp.2596~2603 (2013)[DOI]
  31. F. S. Luppino, "Overweight, obesity, and depression : a systematic review and meta-analysis of longitudinal studies", Archives of general psychiatry, 67(3), pp.220~229 (2010)
  32. A. M. Pimenta, "Relationship between body image disturbance and incidence of depression : the SUN prospective cohort", BMC Public Health, 9(1), pp.1~9 (2009)[DOI]
  33. 서지현, "한국 성인의 체질량 지수에 따른 비만도와 주관적 체형인식 간의 차이가 영양소 섭취와 체중조절 및 정신건강에 미치는 영향 : 제 5기 국민건강영양조사 자료를 이용하여", Journal of Nutrition and Health, 49(3), pp.153~164 (2016), 한국영양학회
  34. E. O. Yang, "Relationship between Obesity and Body Image on Depression among women", master, pp.2009
  35. 이석구, "일 도농복합지역 거주 노인의 저체중과 영향 요인", 한국노년학, 28(1), pp.105~121 (2008), 한국노년학회
  36. R. Chen, "Depression in older people in rural China", Archives of internal medicine, 165(17), pp.2019~2025 (2005)

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