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Cited by 14Aging, Health, and DisabilityHealth and Well-being StudiesMental Health Treatment and Access

Gender differences in the trajectories and the risk factors of depressive symptoms in later life

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Lee, Jiae, Jang, Soong-Nang, Cho, Sung-Il·2017·International Psychogeriatrics
DOI 10.1017/s1041610217000709
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Abstract

BACKGROUND: The present study investigated changes in the trajectories of depressive symptoms in the elderly and attempted to identify risk factors that influence these changes according to gender. METHODS: All data were obtained from a subsample of subjects who participated in the Korean Longitudinal Study of Ageing between 2006 and 2012; 3,667 individuals (1,566 men and 2,101 women) aged 60 years and older were included in the present study. A group-based trajectory model was employed to determine the appropriate number of groups and to observe changes in depressive symptoms according to research year. Following the trajectory analysis, a multinomial regression analysis was performed to examine depressive symptom-related risk factors that influenced membership in the different trajectory groups. RESULTS: Significant gender differences were found in the trajectories of depressive symptoms among four groups (normal, mild depressed, worsening, and depressed) in men and five groups (normal, mild depressed, worsening, improving, and depressed) in women. Among the trajectory groups, physical health status such as chronic diseases, self-rated health (SRH), and somatic pain showed statistically significant differences in both genders. In addition, employment in men and social participation in women were associated with the trajectories. CONCLUSIONS: The present study suggested that maintaining one's physical health status played an important role in preventing depressive symptoms and that employment in men and social participation in women were preventative against the development of depressive symptoms.

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  • Factors such as age, social or socioeconomic status, social support, financial strain and deprivation, food insecurity, education, employment status, living arrangements, marital status, race, childhood conflict and bullying, violent crime exposure, abuse, discrimination, (self)-stigma, ethnicity and migrant status, working conditions, adverse or significant life events, illiteracy or health liter

    “Factors such as age, social or socioeconomic status, social support, financial strain and deprivation, food insecurity, education, employment status, living arrangements, marital status, race, childhood conflict and bullying, violent crime exposure, abuse, discrimination, (self)-stigma, ethnicity and migrant status, working conditions, adverse or significant life events, illiteracy or health liter”

    From Biological, Psychological, and Social Determinants of Depression: A Review of Recent Literature (2021) · cites this paper as [52]

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Authors
Lee, J., Jang, S.-N., & Cho, S.-I.
Affiliations
  • Seoul National University (KR)
  • Chung-Ang University (KR)
Corresponding author
Cho, Sung-Il
ORCID
Venue
International Psychogeriatrics
Publisher
Elsevier BV
Published
2017-09
Volume
29
Issue
9
Pages
1495-1505
ISSN
1041-6102 (ISSN-L)
DOI
10.1017/s1041610217000709
OpenAlex
W2617809458
Cited by
14
References
32
Citations by year
2026: 1 · 2025: 2 · 2024: 1 · 2023: 1 · 2022: 3 · 2021: 3 · 2020: 1 · 2019: 1 · 2017: 1
FWCI
0.77
Type
journal article
Language
en
Open access
Licence
Locations
  • International Psychogeriatrics (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
National Research Foundation of Korea (21B20151213037)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
  • Social Sciences › Psychology › Clinical Psychology › Health and Well-being Studies
  • Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
Keywords
depressive symptoms, older adults, gender differences, trajectory analysis, risk factors, physical health, chronic disease, self-rated health, somatic pain, employment, social participation (health and rehabilitation), Korean Longitudinal Study of Aging
MeSH terms
Aged, Aging, Depression, Employment, Female, Humans, Longitudinal Studies, Male, Middle Aged, Models, Psychological, Psychiatric Status Rating Scales, Risk Factors, Sex Factors, Logistic Models, Republic of Korea, Social Participation, Diagnostic Self Evaluation

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