Analysis of Factors Affecting Depression in Older Adults in South Korea
Abstract
:1. Introduction
2. Material and Methods
2.1. Participants and Data Analysis
2.2. Factors
2.2.1. Personal Factors
2.2.2. Lifestyle
2.2.3. Depression
2.2.4. Life Satisfaction
2.2.5. Level of Cognition
2.3. Analysis Methods
3. Results
3.1. Demographic Characteristics
3.2. Correlation between Depression and the Analyzed Factors
3.3. Effects of the Factors on Depression
3.4. Accuracy of the Factors Affecting Depression
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
- National Statistical Office (NSO). The Ratio of the Elderly Population (City/Country/District). In NSO Website [Internet]. Available online: http://www.kosis.kr/ (accessed on 3 June 2021).
- National Statistical Office (NSO). Life Expectancy/Country. In NSO Website [Internet]. Available online: http://kosis.kr/ (accessed on 3 June 2021).
- National Statistical Office (NSO). Satisfaction with life. In NSO Website [Internet]. Available online: Htto://kosis.kr/ (accessed on 3 June 2021).
- Kim, J.W. Subjective happiness of Koreans and Japanese: A comparative analysis of determinants across the life cycle. Korean J. Sociol. 2017, 51, 1–46. [Google Scholar] [CrossRef]
- Heller, D.; Watson, D.; Ilies, R. The role of person versus situation in life satisfaction: A critical examination. Psychol. Bull. 2004, 130, 574–600. [Google Scholar] [CrossRef]
- Hayes, N.; Joseph, S. Big 5 correlates of three measures of subjective well-being. Personal. Individ. Differ. 2003, 34, 723–727. [Google Scholar] [CrossRef]
- Copeland, J. Depression of older age: Origins of the study. Br. J. Psychiatry 1999, 174, 304–306. [Google Scholar] [CrossRef] [PubMed]
- Li, C.M.; Zhang, X.; Hoffman, H.J.; Cotch, M.F.; Themann, C.L.; Wilson, M.R. Hearing impairment associated with depression in US adults, National Health and Nutrition Examination Survey 2005–2010. JAMA Otolaryngol. Head Neck Surg. 2014, 140, 293–302. [Google Scholar] [CrossRef]
- Park, S.A.; Hur, J.S. The effects of Functional capacity and depression on the life satisfaction among the elderly: Focused on the mediating effects of spirituality. J. Korea Gerontol. Soc. 2017, 37, 125–149. [Google Scholar]
- Joshi, S.; Mooney, S.J.; Kennedy, G.J.; Benjamin, E.O.; Ompad, D.; Rundle, A.G.; Beard, J.R.; Cerdá, M. Beyond METs: Types of physical activity and depression among older adults. Age Ageing 2016, 45, 103–109. [Google Scholar] [CrossRef] [Green Version]
- Kim, B.J. Factors influencing depressive symptoms in the elderly: Using the 7th Korean National Health and Nutrition Examination Survey (KNHANES VII-1). J. Health Inform. Stat. 2020, 45, 165–172. [Google Scholar] [CrossRef]
- Kimura, Y.; Ogawa, H.; Yoshihara, A.; Yamaga, T.; Takiguchi, T.; Wada, T.; Sakamoto, R.; Ishimoto, Y.; Fukutomi, E.; Chen, W.; et al. Evaluation of chewing ability and its relationship with activities of daily living, depression, cognitive status and food intake in the community-dwelling elderly. Geriatr. Gerontol. Int. 2013, 13, 718–725. [Google Scholar] [CrossRef]
- Lee, H.Y.; Lee, J.A.; Brar, J.S.; Rush, E.B.; Jolley, C. Physical activity and depressive symptoms in older adults. Geriatr. Nurs. 2014, 35, 37–41. [Google Scholar] [CrossRef] [Green Version]
- Mammen, G.; Faulkner, G. Physical activity and the prevention of depression: A systematic review of prospective studies. Am. J. Prev. Med. 2013, 45, 649–657. [Google Scholar] [CrossRef]
- Park, S.Y. Relation of leisure time, occupational, transport physical activity, and inactivity behaviors to stress, subjective health and health-related quality of life. Korean J. Phys. Educ. 2018, 57, 331–344. [Google Scholar] [CrossRef]
- Bishop, C.M. Pattern Recognition and Machine Learning, 1st ed.; Springer: Berlin/Heidelberg, Germany, 2006. [Google Scholar]
- Korea Employment Information (KEIS). KLoSA Survey Overview. In KEIS Website [Internet]. Available online: http://survey.keis.or.kr/klosa/klosa01.jsp (accessed on 3 June 2021).
- Jeo, Y.J.; Hong, S.Y. Comparison of utilization and need of educational applications between elderly and younger adults. J. Educ. Cult. 2014, 20, 99–124. [Google Scholar]
- National Center for Mental Health (NCMH). Standard Guidelines for 2019 Mental Health Examination Tools and Use. IN NCMH Website [Internet]. Available online: http://www.ncmh.go.kr/ncmh/main.do (accessed on 3 June 2021).
- Folstein, M.F.; Folstein, S.E.; McHugh, P.R. “Mini-mental state”: A practical method for grading the cognitive state of patients for the clinical. J. Psychiatr. Res. 1975, 12, 189–198. [Google Scholar] [CrossRef]
- Tombaugh, T.N.; Mclntyre, N.J. The mini-mental state examination: A comprehensive review. J. Am. Geriatr. Soc. 1992, 40, 922–935. [Google Scholar] [CrossRef] [PubMed]
- Kim, S.J.; Kim, M.H.; Kim, S.H. The effect of the rural elderly’s health literacy on depression. Korean J. Gerontol. Soc. Welf. 2020, 75, 159–181. [Google Scholar] [CrossRef]
- Park, K.S.; Park, Y.R.; Son, D.S. The relationship between social connectedness and depressive symptom: A comparison between the rural and urban elderly. J. Korean Contents Assoc. 2020, 20, 667–677. [Google Scholar] [CrossRef]
- Han, J.N. The relationship between employment and depressive symptoms among Korean older adults: The moderation of attitude toward working in later life. Korean J. Gerontol. Soc. Welf. 2019, 74, 93–116. [Google Scholar] [CrossRef]
- Lee, S.H. Impact on the Depression of Elderly Living Environment: Focusing on the Mediating Effects of Self-Esteem. Ph.D. Thesis, Han Sei University, Gunpo, Korea, 2015. [Google Scholar]
- Park, J.H.; Cheong, J.H. The influence of depression on the life satisfaction of the elderly people living alone: A mediating effect of problem drinking. Korean J. Gerontol. Soc. Welf. 2010, 47, 309–329. [Google Scholar]
- Gilhooly, M.L. Reduced drinking with age: Is it normal? Addict. Res. Theory 2005, 13, 267–280. [Google Scholar] [CrossRef]
- Etgen, T.; Sander, D.; Bickel, H.; Forstl, H. Mild cognitive impairment and dementia: The importance of modifiable risk factors. Dtsch. Arztebl. Int. 2011, 108, 743–750. [Google Scholar] [CrossRef]
- Jeong, S.W.; Han, T.K. Effects of 10 weeks complex exercise program by obesity index on elderly women health, cognitive function, fall-effect and depression. Koeran J. Sport 2019, 17, 475–485. [Google Scholar]
- Chi, S.H.; Wang, J.Y.; Tsai, A.C. Combined association of leisure-time physical activity and fruit and vegetable consumption with depressive symptoms in older Taiwanese: Results of a national cohort study. Geriatr. Gerontol. Int. 2016, 16, 244–251. [Google Scholar] [CrossRef]
- Chachamovich, E.; Fleck, M.; Laidlaw, K.; Power, M. Impact of major depression and subsyndromal symptoms on quality of life and attitudes toward aging in an international sample of older adults. Gerontologist 2008, 48, 593–602. [Google Scholar] [CrossRef] [Green Version]
- Cho, S.J.; Kim, B.S. The relationship between stress and life satisfaction among the elderly: The mediating effects of depression, self-efficiency and mindfulness. J. Korean Gerontol. Soc. 2014, 34, 49–71. [Google Scholar]
- Hur, J.S.; Cho, S.H. Acausal model of life satisfaction among the elderly persons: Focused on mediating effects of social participation activities. J. Korea Contents Assoc. 2017, 17, 673–691. [Google Scholar] [CrossRef] [Green Version]
- Jo, K.H.; Kwon, S.O.; Han, J.W.; Kim, K.W.; Kwak, B.J.; Kim, S.G.; Kim, J.L.; Moon, S.W.; Park, J.H. Frequency of depressive disorders according to cognitive continuum in the elderly living in the community. J. Korean Geriatr. Psychiatry 2020, 24, 1–9. [Google Scholar] [CrossRef]
- Tough, H.; Siegrist, J.; Fekete, C. Social relationships, mental health and wellbeing in physical disability: A systematic review. BMC Public Health 2017, 7, 1–18. [Google Scholar] [CrossRef] [Green Version]
- Won, K.A.; Shin, Y.C.; Park, S.M.; Han, A.R.; Park, J.H. Characteristics and effects of lifestyle interventions for community dwelling older adults: A systematic review. Ther. Sci. Rehabil. 2019, 8, 7–30. [Google Scholar] [CrossRef]
- Park, K.H.; Won, K.A.; Park, J.H. A systematic study on the multifaceted lifestyle assessment tools for community-dwelling elderly: Trend and application prospect. Ther. Sci. Rehabil. 2019, 8, 7–29. [Google Scholar] [CrossRef]
- Kivipelto, M.; Mangialasche, F.; Ngandu, T. Lifestyle interventions to prevent cognitive impairment, dementia and Alzheimer disease. Nat. Rev. Neurol. 2018, 14, 653–666. [Google Scholar] [CrossRef] [PubMed]
- Jayavasti, I.; Jayasvasti, M.; Pengpid, S.; Peltzer, K.; Nanthananate, P. Participants’ views ion lifestyle intervention program enhancing long-term health-related behaviors improvement among prehypertension and/or prediabetes mellitus older adults: A qualitative study examined in Thailand at health promoting hospitals. INQUIRY: J. Health Care Organ. Provis. Financ. 2021, 58, 1–18. [Google Scholar] [CrossRef]
- Livingston, G.; Sommerlad, A.; Orgeta, V.; Costafreda, S.G.; Huntley, J.; Ames, P.D.; Ballard, P.C.; Banerjee, P.S.; Burns, P.A.; Cohen-Mansfield, P.J.; et al. Dementia prevention, intervention, and care. Lancet 2017, 380, 2673–2743. [Google Scholar] [CrossRef] [Green Version]
N | % | |||
---|---|---|---|---|
Personal | Sex | Male | 2600 | 42.88 |
Female | 3464 | 57.12 | ||
Age | 55–64 | 2468 | 40.70 | |
65–74 | 1937 | 31.94 | ||
75–84 | 1659 | 27.36 | ||
Residential area | Metropolis | 2626 | 43.30 | |
Small and medium-sized city | 1982 | 32.68 | ||
Town and village | 1456 | 24.01 | ||
Educational level | Below the elementary school | 2129 | 35.11 | |
Middle school | 1058 | 17.45 | ||
High school | 2077 | 34.25 | ||
College graduate or higher | 800 | 13.19 | ||
Lifestyle | Drinking | Yes | 2100 | 34.63 |
No | 3964 | 65.37 | ||
Smoking | Yes | 607 | 10.01 | |
No | 5457 | 89.99 | ||
Regular exercise | Yes | 2106 | 34.73 | |
No | 3958 | 65.27 | ||
Life of satisfaction | 0–30 | 383 | 6.32 | |
40–70 | 4241 | 69.94 | ||
80–100 | 1440 | 23.75 | ||
Cognition level | Suspected dementia | 424 | 6.99 | |
Cognitive decline | 1056 | 17.41 | ||
Normal | 4584 | 75.59 | ||
Depression | Normal | 3236 | 53.36 | |
Depression | 2828 | 46.64 |
Correlation Coefficient | p-Value | ||
---|---|---|---|
Personal | Age | 0.192 *** | 0.000 |
Sex | 0.062 *** | 0.000 | |
Residential area | 0.060 *** | 0.000 | |
Final educational level | −0.153 *** | 0.000 | |
Lifestyle | Drinking | 0.089 *** | 0.000 |
Smoking | −0.018 | 0.168 | |
Regular exercise | −0.083 *** | 0.000 | |
Life of satisfaction | −0.286 *** | 0.000 | |
MMSE | −0.286 *** | 0.000 |
B | Exp(B) | p-Value | ||
---|---|---|---|---|
Personal | Age | 0.018 *** | 1.019 | 0.000 |
Sex | 0.031 | 1.032 | 0.051 | |
Residential area | 0.079 * | 1.082 | 0.029 | |
Final educational level | 0.069 * | 1.072 | 0.033 | |
Lifestyle | Drinking | −0.053 | 0.949 | 0.415 |
Regular exercise | 0.030 * | 1.030 | 0.046 | |
Life of satisfaction | −0.032 *** | 0.969 | 0.000 | |
MMSE | −0.096 *** | 0.909 | 0.000 | |
Adjust R2 | 13.08 | |||
−2 log likelihood | 7507.845 | |||
Model x2 | 871.172 *** |
CASE 1 | CASE 2 | CASE 3 | CASE 4 | CASE 5 | |
---|---|---|---|---|---|
Factor | Residential area | Age | Age | Age | Age |
Final educational level | MMSE | Residential area | Residential area | Residential area | |
Regular exercise | Life of satisfaction | Final educational level | Final educational level | Final educational level | |
Regular exercise | Regular exercise | Regular exercise | |||
Life of satisfaction | MMSE | Life of satisfaction | |||
MMSE | |||||
Training data (n) | 5000 | ||||
Test data (n) | 500 | ||||
Max iteration | 10,000 | ||||
Momentum | 0.5 | ||||
Accuracy (%) | 55.6 | 64.4 | 62.4 | 58.6 | 78.2 |
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Kim, A.-R.; Park, J.-H.; Park, H.Y. Analysis of Factors Affecting Depression in Older Adults in South Korea. Int. J. Environ. Res. Public Health 2021, 18, 9887. https://doi.org/10.3390/ijerph18189887
Kim A-R, Park J-H, Park HY. Analysis of Factors Affecting Depression in Older Adults in South Korea. International Journal of Environmental Research and Public Health. 2021; 18(18):9887. https://doi.org/10.3390/ijerph18189887
Chicago/Turabian StyleKim, Ah-Ram, Jin-Hyuck Park, and Hae Yean Park. 2021. "Analysis of Factors Affecting Depression in Older Adults in South Korea" International Journal of Environmental Research and Public Health 18, no. 18: 9887. https://doi.org/10.3390/ijerph18189887