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Determinants of unhealthy living by gender, age group, and chronic health conditions across districts in Korea using the 2010-2017 Community Health Surveys.
Bui, Thi Tra; Nguyen, Thi Huyen Trang; Lee, Jinhee; Kim, Sun Young; Oh, Jin-Kyoung.
Affiliation
  • Bui TT; Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
  • Nguyen THT; Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
  • Lee J; Division of Cancer Prevention, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
  • Kim SY; Department of Cancer AI and Digital Health, National Cancer Control Institute, National Cancer Center, Goyang, Korea.
  • Oh JK; Department of Cancer Control and Population Health, National Cancer Center Graduate School of Cancer Science and Policy, Goyang, Korea.
Epidemiol Health ; 46: e2024014, 2024.
Article in En | MEDLINE | ID: mdl-38228089
ABSTRACT

OBJECTIVES:

We investigated the prevalence and determinants of unhealthy living by gender, age, and comorbidities across Korean districts.

METHODS:

For 806,246 men and 923,260 women from 245 districts who participated in the 2010-2017 Korean Community Health Surveys, risk scores were calculated based on obesity, physical inactivity, smoking, and high-risk alcohol consumption, each scored from 0 (lowest risk) to 2 (highest risk). A risk score ≥4 was defined as indicating unhealthy living, and weighted proportions were calculated for each district. Using multivariate regression, an ecological model including community socioeconomic, interpersonal, and neighborhood factors was examined by gender, age, and comorbidities.

RESULTS:

The mean age-standardized rate of unhealthy living was 24.05% for men and 4.91% for women (coefficients of variation, 13.94% and 29.51%, respectively). Individuals with chronic diseases more frequently exhibited unhealthy lifestyles. Unhealthy lifestyles were associated with educational attainment (ß-coefficients men, -0.21; women, -0.15), high household income (ß=0.08 and 0.03, respectively), pub density (ß=0.52 and 0.22, respectively), and fast-food outlet density (ß=2.81 and 1.63, respectively). Negative associations were observed with manual labor, social activity participation, and hospital bed density. Unhealthy living was positively associated with living alone among women and with being unemployed among middle-aged men. Access to parks was negatively associated with unhealthy living among young men and women. The ecological model explained 32% of regional variation in men and 41% in women.

CONCLUSIONS:

Improving the neighborhood built and socioeconomic environment may reduce regional disparities in lifestyle behaviors; however, the impacts may vary according to socio-demographic traits and comorbidities.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Life Style Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Epidemiol Health Year: 2024 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Public Health / Life Style Type of study: Prognostic_studies / Risk_factors_studies Aspects: Determinantes_sociais_saude Limits: Female / Humans / Male / Middle aged Country/Region as subject: Asia Language: En Journal: Epidemiol Health Year: 2024 Document type: Article Country of publication: