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Osong Public Health and Research Perspectives ; (6): 11-25, 2017.
Article Dans Anglais | WPRIM | ID: wpr-648351

Résumé

OBJECTIVES: This was a comparative study between Australia and Korea that investigated whether and to what extent factors related to self-rated good health (SRGH) differ by gender among age groups. METHODS: This study was a secondary analysis of data that were collected in nationally representative, cross-sectional, and population-based surveys. We analyzed Australian and Korean participants > 20 years of age using 2011 data from the Australian National Nutritional Physical Activity Survey (n = 9,276) and the Korean National Health and Nutritional Examination Survey (n = 5,915). Analyses were based on multiple logistic regression after controlling for covariates. RESULTS: Factors associated with SRGH and the extent of their influence differed by gender among age groups within each nation. Australian SRGH was associated with more factors than Korean SRGH, except in participants > 65 years old. Many differences among adults aged 20–44 years were observed, particularly with regard to the influence of socioeconomic factors. Living with a spouse only influenced SRGH in men 20–44 years old in both countries, negatively for Korean men and positively for Australian men. In this same age group, SRGH was positively influenced by employment and attainment of a higher education level in Australian men but not among Korean men; among women, income, but not education, affected SRGH in Korea, whereas in Australia, women were more influenced by education than by income. Lack of chronic disease had a strong influence on SRGH in both countries and was influential in all Australians and Koreans except those ≥ 65 years old. CONCLUSION: Broad features of society should be considered when discussing health and differences in associated factors and their influences. For focused public health interventions of population groups, it is also necessary to consider gender and age groups within social environments.


Sujets)
Adulte , Femelle , Humains , Mâle , Australie , Maladie chronique , Éducation , Emploi , Corée , Modèles logistiques , Activité motrice , Groupes de population , Santé publique , Environnement social , Facteurs socioéconomiques , Conjoints
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