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A Text Mining Approach to Analyzing Stress Among Older Adults Living in Urban and Rural Areas

Title
A Text Mining Approach to Analyzing Stress Among Older Adults Living in Urban and Rural Areas
Alternative Author(s)

Hwang, Sangwon ; Park, Ji Young ; Lee, Sang Yup ; Chung, Moo-Kwon ; Jung, YeonSu ; Kim, Dan-Kyung ; Lee, Jin-kyung

Keyword
Older Adults ; Stress ; Text Mining ; Rural ; Urban
Publication Year
2024-12-31
Publisher
Korea Institute for Health and Social Affairs
Citation
Health and Social Welfare Review Vol.44 No.4, pp.174-199
Abstract
Following weakened health conditions, decreased income after retirement, and the loss of family members, older adults are likely to experience high levels of stress. To better understand stress among older adults, this study analyzed text data collected over two years through open-ended questions in weekly surveys on our smartphone application. In total, 230 participants reported 1,703 times about their stressors. Since stressful life experiences may differ between older adults with agricultural jobs and those with non-agricultural jobs, we divided the data into two groups based on whether the participant worked in agriculture. The results demonstrate several differences between these groups: Older adults with agricultural jobs living in rural areas were more likely to experience stress related to farming or weather, whereas older adults with non-agricultural jobs living in urban areas were more likely to report psychological distress regarding relationships or in self-reflection on their lives. Considering the distinct characteristics of older adults’ lives in rural versus urban areas, we need to develop more sophisticated social policies to reduce stress and prevent mental health problems among community-dwelling older adults.
ISSN
1226-072X
DOI
10.15709/hswr.2024.44.4.174
KIHASA Research
Subject Classification
General social security > Regional social security
Social service > Welfare for older persons
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