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Seungmin Jeong 2 Articles
Poor People and Poor Health: Examining the Mediating Effect of Unmet Healthcare Needs in Korea
Youngsoo Kim, Saerom Kim, Seungmin Jeong, Sang Guen Cho, Seung-sik Hwang
J Prev Med Public Health. 2019;52(1):51-59.   Published online January 23, 2019
DOI: https://doi.org/10.3961/jpmph.18.162
  • 6,969 View
  • 197 Download
  • 14 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
The purpose of this study was to estimate the mediating effect of subjective unmet healthcare needs on poor health. The mediating effect of unmet needs on health outcomes was estimated.
Methods
Cross-sectional research method was used to analyze Korea Health Panel data from 2011 to 2015, investigating the mediating effect for each annual dataset and lagged dependent variables.
Results
The magnitude of the effect of low income on poor health and the mediating effect of unmet needs were estimated using age, sex, education level, employment status, healthcare insurance status, disability, and chronic disease as control variables and selfrated health as the dependent variable. The mediating effect of unmet needs due to financial reasons was between 14.7% to 32.9% of the total marginal effect, and 7.2% to 18.7% in lagged model.
Conclusions
The fixed-effect logit model demonstrated that the existence of unmet needs raised the likelihood of poor self-rated health. However, only a small proportion of the effects of low income on health was mediated by unmet needs, and the results varied annually. Further studies are necessary to search for ways to explain the varying results in the Korea Health Panel data, as well as to consider a time series analysis of the mediating effect. The results of this study present the clear implication that even though it is crucial to address the unmet needs, but it is not enough to tackle the income related health inequalities.
Summary
Korean summary
이 연구에서는 2011년부터 2015년까지의 한국의료패널 자료를 이용하여 미충족의료과 불건강의 관련성을 살펴보고, 불건강을 매개하는 미충족의료의 크기를 추정했다. 미충족의료는 개인고정효과를 보정하였을 때 불건강에 유의한 영향 준다는 것을 확인할 수 있었고, 미충족의료가 매개하는 저소득의 건강 효과는 저소득이 불건강에 미치는 전체 효과 중 일부에 지나지 않았으며, 효과의 크기는 분석 연도 별로 일정하지 않게 나타났다. 이는 건강불평등을 줄이기 위한 정책 개입에서 미충족의료 해소가 유의미한 정책 목표로 가치가 있지만 그 한계 또한 명확하다는 것을 의미한다.

Citations

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  • How did unmet care needs during the pandemic affect health outcomes of older European individuals?
    Julien Bergeot, Florence Jusot
    Economics & Human Biology.2024; 52: 101317.     CrossRef
  • Unmet healthcare needs among older people in South Korea
    Yong-Sook Eo, Jinpil Um
    International Journal of Healthcare Management.2024; : 1.     CrossRef
  • The prevalence and determinants of unmet healthcare needs in Bulgaria
    Ivan Maslyankov, Mónica Hernández, Noorsuzana Mohd Shariff
    PLOS ONE.2024; 19(10): e0312475.     CrossRef
  • Unmet healthcare needs among the population aged 50+ and their association with health outcomes during the COVID-19 pandemic
    Carlota Quintal, Luis Moura Ramos, Micaela Antunes, Óscar Lourenço
    European Journal of Ageing.2023;[Epub]     CrossRef
  • THE EFFECT OF PARTICIPATION IN JKN ON UNMET NEEDS FOR HEALTHCARE SERVICES
    Farikh Alfa Firori, I Dewa Gede Karma Wisana
    Jurnal Administrasi Kesehatan Indonesia.2023; 11(2): 186.     CrossRef
  • Factors and at-risk group associated with hypertension self-management patterns among people with physical disabilities: a latent class analysis
    Hye Jin Nam, Ju Young Yoon
    BMC Public Health.2022;[Epub]     CrossRef
  • Changes in Barriers That Cause Unmet Healthcare Needs in the Life Cycle of Adulthood and Their Policy Implications: A Need-Selection Model Analysis of the Korea Health Panel Survey Data
    Woojin Chung
    Healthcare.2022; 10(11): 2243.     CrossRef
  • Intergenerational Differences in Factors Affecting Unmet Health Care Needs in South Korea: Comparison of Middle-aged and Older Adults
    Eunjeong Noh
    Journal of Intergenerational Relationships.2021; 19(1): 144.     CrossRef
  • Identification of Unmet Healthcare Needs: A National Survey in Thailand
    Sukanya Chongthawonsatid
    Journal of Preventive Medicine and Public Health.2021; 54(2): 129.     CrossRef
  • Factors affecting unmet healthcare needs of low-income overweight and obese women in Korea: analysis of the Korean National Health and Nutrition Examination Survey 2017
    Ju-Hee Nho, Sook Kyoung Park
    Korean Journal of Women Health Nursing.2021; 27(2): 93.     CrossRef
  • Factors Affecting Unmet Healthcare Needs among Adults with Chronic Diseases
    Ji-Young Han, Hyeon-Sook Park
    Journal of Korean Academy of Community Health Nursing.2021; 32(2): 131.     CrossRef
  • Association between osteoarthritis and unmet medical needs in Korea: limitations in activities as a mediator
    Hooin Jo, Eun-san Kim, Boyoung Jung, Soo-Hyun Sung, In-Hyuk Ha
    BMC Public Health.2020;[Epub]     CrossRef
  • Unmet Healthcare Needs and Associated Factors in Rural and Suburban Vietnam: A Cross-Sectional Study
    Ju Young Kim, Dae In Kim, Hwa Yeon Park, Yuliya Pak, Phap Ngoc Hoang Tran, Truc Thanh Thai, Mai Thi Thanh Thuy, Do Van Dung
    International Journal of Environmental Research and Public Health.2020; 17(17): 6320.     CrossRef
  • Factors Underlying Unmet Medical Needs: A Cross-Sectional Study
    Young Suk Yoon, Boyoung Jung, Dongsu Kim, In-Hyuk Ha
    International Journal of Environmental Research and Public Health.2019; 16(13): 2391.     CrossRef
Concordance in the Health Behaviors of Couples by Age: A Cross-sectional Study
Seungmin Jeong, Sung-Il Cho
J Prev Med Public Health. 2018;51(1):6-14.   Published online November 27, 2017
DOI: https://doi.org/10.3961/jpmph.17.137
  • 10,852 View
  • 256 Download
  • 15 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
To investigate concordance in the health behaviors of women and their partners according to age and to investigate whether there was a stronger correlation between the health behaviors of housewives and those of their partners than between the health behaviors of non-housewives and those of their partners.
Methods
We used data obtained from women participants in the 2015 Korea Community Health Survey who were living with their partners. The outcome variables were 4 health behaviors: smoking, drinking, eating salty food, and physical activity. The main independent variables were the partners’ corresponding health behaviors. We categorized age into 4 groups (19-29, 30-49, 50-64, and ≥ 65 years) and utilized multivariate logistic regression analysis, stratifying by age group. Another logistic regression analysis was stratified by whether the participant identified as a housewife.
Results
Data from 64 971 women older than 18 years of age were analyzed. Of the 4 health behaviors, the risk of smoking (adjusted odds ratio [aOR], 4.65; 95% confidence interval [CI], 3.93 to 5.49) was highest when the participant’s partner was also a smoker. Similar results were found for an inactive lifestyle (aOR, 2.56; 95% CI, 2.45 to 2.66), eating salty food (aOR, 2.48; 95% CI, 2.36 to 2.62); and excessive drinking (aOR, 1.89; 95% CI, 1.80 to 1.98). In comparison to non-housewives, housewives had higher odds of eating salty food.
Conclusions
The health behaviors of women were positively correlated with those of their partners. The magnitude of the concordance differed by age group.
Summary

Citations

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    Personality and Social Psychology Bulletin.2024; 50(5): 733.     CrossRef
  • Between- and Within-Couple Concordance for Health Behaviors Among Japanese Older Married Couples: Examining the Moderating Role of Working Time
    Kazuhiro Harada, Kouhei Masumoto, Shuichi Okada
    International Journal of Behavioral Medicine.2024; 31(2): 215.     CrossRef
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    F1000Research.2024; 12: 54.     CrossRef
  • Couples-based health behavior change interventions: A relationship science perspective on the unique opportunities and challenges to improve dyadic health
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  • Using Wearables to Study Biopsychosocial Dynamics in Couples Who Cope With a Chronic Health Condition: Ambulatory Assessment Study
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    JMIR mHealth and uHealth.2024; 12: e49576.     CrossRef
  • In sickness and health? Examining the co-occurrence and concordance of healthy lifestyle behaviours among spouses in Namibia
    A. Dunn, E.O. Olamijuwon, N. McGrath
    Public Health.2024; 235: 111.     CrossRef
  • The refusal of COVID-19 vaccination and its associated factors: a systematic review
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    F1000Research.2023; 12: 54.     CrossRef
  • Human height: a model common complex trait
    Mitchell Conery, Struan F. A. Grant
    Annals of Human Biology.2023; 50(1): 258.     CrossRef
  • Evidence of correlations between human partners based on systematic reviews and meta-analyses of 22 traits and UK Biobank analysis of 133 traits
    Tanya B. Horwitz, Jared V. Balbona, Katie N. Paulich, Matthew C. Keller
    Nature Human Behaviour.2023; 7(9): 1568.     CrossRef
  • Similarities in cardiometabolic risk factors among random male-female pairs: a large observational study in Japan
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    BMC Public Health.2022;[Epub]     CrossRef
  • A latent profile analysis of the link between sociocultural factors and health-related risk-taking among U.S. adults
    Jessica K. Perrotte, Eric C. Shattuck, Colton L. Daniels, Xiaohe Xu, Thankam Sunil
    BMC Public Health.2021;[Epub]     CrossRef
  • Spousal similarities in cardiometabolic risk factors: A cross-sectional comparison between Dutch and Japanese data from two large biobank studies
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    Atherosclerosis.2021; 334: 85.     CrossRef
  • Dyadic Profiles of Health Behaviors Among Korean Baby Boomer Couples
    Bon Kim, Kyungmin Kim, Jeffrey A. Burr, Joohyun Kim, Gyounghae Han
    Journal of Applied Gerontology.2021; 40(10): 1320.     CrossRef
  • Spousal Concordance in Dietary Behaviors and Metabolic Components, and Their Association: A Cross-Sectional Study
    Dann-Pyng Shih, Chu-Ting Wen, Hsien-Wen Kuo, Wen-Miin Liang, Li-Fan Liu, Chien-Tien Su, Jong-Yi Wang
    Nutrients.2020; 12(11): 3332.     CrossRef
  • Determinants of successful lifestyle change during a 6-month preconception lifestyle intervention in women with obesity and infertility
    Matty D. A. Karsten, Anne M. van Oers, Henk Groen, Meike A. Q. Mutsaerts, Mireille N. M. van Poppel, Anouk Geelen, Cornelieke van de Beek, Rebecca C. Painter, Ben W. J. Mol, Tessa J. Roseboom, Annemieke Hoek
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JPMPH : Journal of Preventive Medicine and Public Health
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