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Original Article
- Health behaviors and health status of Korean middleaged men by marital status: Korea Community Health Study, 2015
- Yongho Jee, Youngtae Cho
- Epidemiol Health. 2019;41:e2019019. Published online May 15, 2019
- DOI: https://doi.org/10.4178/epih.e2019019
- 11,659 View
- 192 Download
- 4 Web of Science
- 6 Crossref
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Abstract
Summary
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AbstractOBJECTIVES
Previous studies have shown that marital status is associated with household composition and living arrangements, which partially explain observed differences in health status according to marital status. However, due to the rapid socioeconomic and demographic transformations of the last few decades, the distribution of marital status among middle-aged adults has become more diverse. Therefore, this study aimed to obtain up-to-date information on the associations between marital status and health and to investigate the implications of these findings for conventional explanations of the health effects of marriage.METHODSThe data for this study were obtained from the 2015 Korean Community Health Study. We compared 4 modifiable lifestyle behaviors—smoking, alcohol consumption, physical activity, and self-rated health status—as outcome variables in association with marital status in Korean middle-aged men (age 40-44) living in Seoul and other regions.RESULTSMarried men showed the lowest cigarette smoking prevalence and the highest subjective health status both before and after adjusting for education and income. The odds of engaging in vigorous physical activity did not show a major difference before and after adjustment for income and education.CONCLUSIONSIn married men, the prevalence of cigarette smoking was lowest and subjective health status was highest, similar to previous studies. However, the prevalence of engaging in physical activity was highest in divorced/widowed/separated men. The health behaviors and health status of Korean middle-aged adults should be more closely followed, since they are representative of demographic changes in the Korean population. -
SummaryKorean summary
결혼 상태에 따른 건강을 다룬 이전연구에서 가구구성행태 위주의 연구, 기혼자일수록 일관되게 양호한 건강상태를 보인다는 결과들이 많이 보고되었으나 저출산 고령화의 흐름속에 1인 가구가 증가하고 가구 형태가 다양화되면서 기존의 연구결과들이 오늘날에도 유의한지에 따른 연구가 필요하며, 따라서 본 연구에서는 한국 중년 남성들의 결혼여부에 따른 건강상태를 분석하고자 하였다. -
Citations
Citations to this article as recorded by
- Marital status, marital transition and health behaviour and mental health outcomes among middle-aged and older adults in Thailand: A national longitudinal study
Supa Pengpid, Karl Peltzer, Dararatt Anantanasuwong
Archives of Gerontology and Geriatrics.2024; 117: 105196. CrossRef - Interaction between Extreme Temperature Events and Fine Particulate Matter on Cardiometabolic Multimorbidity: Evidence from Four National Cohort Studies
Shouxin Peng, Zhaoyuan Li, John S. Ji, Bingbing Chen, Xiaoyi Yin, Wei Zhang, Feifei Liu, Huanfeng Shen, Hao Xiang
Environmental Science & Technology.2024; 58(28): 12379. CrossRef - Changing associations of coronary heart disease incidence with current partnership status and marital history over three decades
Karri Silventoinen, Kaarina Korhonen, Pekka Martikainen
SSM - Population Health.2022; 18: 101080. CrossRef - Socioeconomic disparities between oral cavity cancer patients in Germany
David Muallah, Jan Matschke, Sophie Muallah, Anna Klimova, Lysann Michaela Kroschwald, Tom Alexander Schröder, Günter Lauer, Dominik Haim
Frontiers in Public Health.2022;[Epub] CrossRef - Hemodiyaliz Hastalarında Sigara Kullanımı, Nikotin Bağımlılık Durumu Ve İlişkili Faktörler
Zeynep KENDİ ÇELEBİ, Didem TURGUT
Celal Bayar Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi.2020; 7(2): 188. CrossRef - A Multi-Disciplinary Study Into the Drivers of Smoking Cessation in South Korea
James E. Prieger, Anna Choi
SSRN Electronic Journal.2020;[Epub] CrossRef
- Marital status, marital transition and health behaviour and mental health outcomes among middle-aged and older adults in Thailand: A national longitudinal study
Methods
- The unrealized potential: cohort effects and age-period-cohort analysis
- Jongho Heo, Sun-Young Jeon, Chang-Mo Oh, Jongnam Hwang, Juhwan Oh, Youngtae Cho
- Epidemiol Health. 2017;39:e2017056. Published online December 5, 2017
- DOI: https://doi.org/10.4178/epih.e2017056
- 19,435 View
- 461 Download
- 18 Web of Science
- 17 Crossref
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Abstract
Summary
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Supplementary Material -
AbstractThis study aims to provide a systematical introduction of age-period-cohort (APC) analysis to South Korean readers who are unfamiliar with this method (we provide an extended version of this study in Korean). As health data in South Korea has substantially accumulated, population-level studies that explore long-term trends of health status and health inequalities and identify macrosocial determinants of the trends are needed. Analyzing long-term trends requires to discern independent effects of age, period, and cohort using APC analysis. Most existing health and aging literature have used cross-sectional or short-term available panel data to identify age or period effects ignoring cohort effects. This under-use of APC analysis may be attributed to the identification (ID) problem caused by the perfect linear dependency across age, period, and cohort. This study explores recently developed three APC models to address the ID problem and adequately estimate the effects of A-P-C: intrinsic estimator-APC models for tabular age by period data; hierarchical cross-classified random effects models for repeated cross-sectional data; and hierarchical APC-growth curve models for accelerated longitudinal panel data. An analytic exemplar for each model was provided. APC analysis may contribute to identifying biological, historical, and socioeconomic determinants in long-term trends of health status and health inequalities as well as examining Korean’s aging trajectories and temporal trends of period and cohort effects. For designing effective health policies that improve Korean population’s health and reduce health inequalities, it is essential to understand independent effects of the three temporal factors by using the innovative APC models.
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SummaryKorean summary
-건강수준 및 건강불평등의 장기적인 추이에 미치는 연령, 기간, 출생 코호트의 독립적인 영향을 분해하는 방법인 연령-기간-코호트 분석법(Age-Period-Cohort analysis)을 국내 보건의료 연구자들에게 체계적으로 소개함 -APC 분석법은 건강수준 및 건강행태, 건강불평등의 추세 분석 및 고령화, 만성질환, 생애주기 연구 등에 있어서 널리 활용될 수 있음 -APC 연구 결과를 바탕으로 향후 보건의료 정책에 있어서도 기간 또는 연령에 따른 정책뿐 아니라 코호트에 특정한 정책들도 고려되어야 할 필요가 있음 -
Citations
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Public Health Weekly Report.2024; 17(21): 877. CrossRef - The Trend of Chronic Diseases Among Older Koreans, 2004–2020: Age–Period–Cohort Analysis
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The Journals of Gerontology, Series B: Psychological Sciences and Social Sciences.2024;[Epub] CrossRef - Descriptive Analysis of Gastric Cancer Mortality in Korea, 2000-2020
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Cancer Research and Treatment.2023; 55(2): 603. CrossRef - Vehicle ownership rates: The role of lifecycle, period, and cohort effects
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Journal of Korea Planning Association.2023; 58(3): 167. CrossRef - Secular trends in the incidence of major depressive disorder and dysthymia in China from 1990 to 2019
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Journal of Personality Assessment.2022; 104(3): 380. CrossRef - Physical Performance in Older Cohorts: A Comparison of 81-Year-Old Swedish Men and Women Born Twelve Years Apart—Results from the Swedish Study “Good Aging in Skåne”
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Journal of Aging Research.2021; 2021: 1. CrossRef - Recent increase in pertussis incidence in Korea: an age-period-cohort analysis
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Epidemiology and Health.2021; 43: e2021053. CrossRef - Sepsis in the new millennium – Are we improving?
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