IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i10p1721-d231593.html
   My bibliography  Save this article

Health-Related Quality of Life of People with Self-Reported Hypertension: A National Cross-Sectional Survey in China

Author

Listed:
  • Qiang Yao

    (School of Political Science and Public Administration, Wuhan University, Wuhan 430072, China
    School of Psychology and Public Health, La Trobe University, Melbourne 3086, Australia
    Institute of health Research, Wuhan University, Wuhan 430072, China)

  • Chaojie Liu

    (School of Psychology and Public Health, La Trobe University, Melbourne 3086, Australia)

  • Yaoguang Zhang

    (Center for Health Statistics and Information, National Health Commission, Beijing 100810, China)

  • Ling Xu

    (Health Human Resources Development Center, National Health Commission, Beijing 100044, China)

Abstract

This study aimed to determine the health-related quality of life (HRQoL) of people with self-reported diagnosed hypertension and its determinants in China. Data was obtained from the 5th National Health Services Survey. The HRQoL of the respondents who were 15 years or older was assessed with the EQ-5D-3L utility index and visual analogue scale (VAS), and compared between those with ( n = 30,063) and without ( n = 158,657) self-reported hypertension. Multivariate logistic regression, Tobit regression, and linear regression models were established to identify predictors of HRQoL. A difference of half standard deviation was deemed as minimal clinically important difference (MCID) for the utility index (0.03). The respondents with self-reported hypertension were more likely to report problems in the five dimensions (Adjusted Odds Ratio = 1.43–1.70) of the EQ-5D-3L, resulting in a significant lower utility index (β = −0.04) and VAS scores (β = −3.22) compared with those without self-reported hypertension, and the difference of the utility index exceeded MCID. In the respondents with self-reported hypertension, higher utility index and VAS scores were found in those who were female, younger, married, employed, smoking, drinking, exercising regularly, absent from comorbidity, resided in the eastern developed region, had normal body mass index, higher levels of education, and income. Hypertension management programs were associated with higher utility index (β = 0.01) and VAS scores (β = 1.02). Overall, hypertension is associated with lower HRQoL. Higher socioeconomic status and participation in management programs for chronic conditions are independent predictors of higher HRQoL of hypertensive people. This study provides a national representative estimate on the HRQoL of hypertensive people in China, which can be used for calculating the burden of hypertension.

Suggested Citation

  • Qiang Yao & Chaojie Liu & Yaoguang Zhang & Ling Xu, 2019. "Health-Related Quality of Life of People with Self-Reported Hypertension: A National Cross-Sectional Survey in China," IJERPH, MDPI, vol. 16(10), pages 1-24, May.
  • Handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1721-:d:231593
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/10/1721/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/16/10/1721/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zhijun Tan & Ying Liang & Siming Liu & Wenjun Cao & Haibo Tu & Lingxia Guo & Yongyong Xu, 2013. "Health-Related Quality of Life as Measured with EQ-5D among Populations with and without Specific Chronic Conditions: A Population-Based Survey in Shaanxi Province, China," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
    2. Chi Zhang, 2017. "Population in China," Europe-Asia Studies, Taylor & Francis Journals, vol. 69(8), pages 1333-1334, September.
    3. Zhao, Meng & Konishi, Yoshifumi & Glewwe, Paul, 2013. "Does information on health status lead to a healthier lifestyle? Evidence from China on the effect of hypertension diagnosis on food consumption," Journal of Health Economics, Elsevier, vol. 32(2), pages 367-385.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Huamin Chai & Rui Fu & Peter C. Coyte, 2021. "Unpaid Caregiving and Labor Force Participation among Chinese Middle-Aged Adults," IJERPH, MDPI, vol. 18(2), pages 1-25, January.
    2. Yaira Barranco-Ruiz & Susana Paz-Viteri & Emilio Villa-González, 2020. "Dance Fitness Classes Improve the Health-Related Quality of Life in Sedentary Women," IJERPH, MDPI, vol. 17(11), pages 1-13, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xinrui Wu & Qian Liu & Qi Li & Zhengwen Tian & Hongzhuan Tan, 2019. "Health-Related Quality of Life and Its Determinants among Criminal Police Officers," IJERPH, MDPI, vol. 16(8), pages 1-12, April.
    2. Chen, Qihui & Deng, Tinghe & Pei, Chunchen & Wang, Chengcheng, 2018. "Memory of Famine – Does Childhood Experience of Severe Food Shortage Affect Food Choice in Old Age?," 2018 Annual Meeting, August 5-7, Washington, D.C. 273897, Agricultural and Applied Economics Association.
    3. Jia Zhang & Xiaoshu Chen & Shiwei Huang & Yi Wang & Wei Lin & Rui Zhou & He Zou, 2018. "Two-minute walk test: Reference equations for healthy adults in China," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-10, August.
    4. Zhongqiang Bai & Juanle Wang & Mingming Wang & Mengxu Gao & Jiulin Sun, 2018. "Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China," Sustainability, MDPI, vol. 10(5), pages 1-15, April.
    5. Kee, Jennifer Y. & Segovia, Michelle S. & Palma, Marco A., 2023. "Slim or Plus-Size Burrito? A natural experiment of consumers’ restaurant choice," Food Policy, Elsevier, vol. 120(C).
    6. Dahlberg, Matz & Mani, Kevin & Öhman, Mattias & Wanhainen, Anders, 2016. "Health Information and Well-Being: Evidence from an Asymptomatic Disease," Working Paper Series 2016:2, Uppsala University, Department of Economics.
    7. Yishu, Li, 2019. "A photovoltaic ecosystem: improving atmospheric environment and fighting regional poverty," Technological Forecasting and Social Change, Elsevier, vol. 140(C), pages 69-79.
    8. Zhongliang Zhou & Yu Fang & Zhiying Zhou & Dan Li & Dan Wang & Yanli Li & Li Lu & Jianmin Gao & Gang Chen, 2017. "Assessing Income-Related Health Inequality and Horizontal Inequity in China," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 132(1), pages 241-256, May.
    9. Luyao Wang & Hong Fan & Yankun Wang, 2018. "Estimation of consumption potentiality using VIIRS night-time light data," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-19, October.
    10. Bin Du & Ying Wang & Jiaxin He & Wai Li & Xiaohong Chen, 2021. "Spatio-Temporal Characteristics and Obstacle Factors of the Urban-Rural Integration of China’s Shrinking Cities in the Context of Sustainable Development," Sustainability, MDPI, vol. 13(8), pages 1-16, April.
    11. Dianxi Wang & Yufeng Zhao, 2021. "A potential new pattern of pathway to adulthood is emerging in China," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 44(42), pages 1023-1056.
    12. JIANG, Qijun & FLORKOWSKI, Wojciech Jan, 2021. "Factors Limiting Quality Assurance Program Implementation In Food Manufacturing Companies In Shanghai, China," Review of Agricultural and Applied Economics (RAAE), Faculty of Economics and Management, Slovak Agricultural University in Nitra, vol. 24(01), March.
    13. Jinjing Wu & Shelby Deaton & Boshen Jiao & Zohn Rosen & Peter A Muennig, 2018. "The cost-effectiveness analysis of the New Rural Cooperative Medical Scheme in China," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-13, December.
    14. Xin Lao & Hengyu Gu, 2020. "Unveiling various spatial patterns of determinants of hukou transfer intentions in China: A multi‐scale geographically weighted regression approach," Growth and Change, Wiley Blackwell, vol. 51(4), pages 1860-1876, December.
    15. Zhishan Ma & Susu Zhang & Sidong Zhao, 2021. "Study on the Spatial Pattern of Migration Population in Egypt and Its Flow Field Characteristics from the Perspective of “Source-Flow-Sink”," Sustainability, MDPI, vol. 13(1), pages 1-27, January.
    16. Bonsang, Eric & Caroli, Eve & Garrouste, Clémentine, 2021. "Gender heterogeneity in self-reported hypertension," Economics & Human Biology, Elsevier, vol. 43(C).
    17. Pauline Rossi & Yun Xiao, 2024. "Spillovers in Childbearing Decisions and Fertility Transitions: Evidence from China," Journal of the European Economic Association, European Economic Association, vol. 22(1), pages 161-199.
    18. Krämer, Marion & Kumar, Santosh & Vollmer, Sebastian, 2021. "Anemia, diet, and cognitive development: Impact of health information on diet quality and child nutrition in rural India," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 495-523.
    19. Manuel B. Huber & Julia Felix & Martin Vogelmann & Reiner Leidl, 2017. "Health-Related Quality of Life of the General German Population in 2015: Results from the EQ-5D-5L," IJERPH, MDPI, vol. 14(4), pages 1-12, April.
    20. Masato Oikawa, 2024. "The role of education in health policy reform outcomes: evidence from Japan," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(1), pages 49-76, February.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:10:p:1721-:d:231593. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.