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. Cheolmin Kang & Akira Kawamura & Haruko Noguchi, 2021. "Benefits of knowing own health status: effects of health check-ups on health behaviours and labour participation," Applied Economics Letters, Taylor & Francis Journals, vol. 28(11), pages 926-931, June.
    4. Gaggero, A. & Gil, J. & Jiménez-Rubio, D. & Zucchelli, E., 2021. "Health information and lifestyle behaviours: the impact of a diabetes diagnosis," Health, Econometrics and Data Group (HEDG) Working Papers 21/02, HEDG, c/o Department of Economics, University of York.
    5. Ordoñez, Pablo J., 2020. "Power Plants, Air Pollution, and Health in Colombia," 2020 Annual Meeting, July 26-28, Kansas City, Missouri 304284, Agricultural and Applied Economics Association.
    6. 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.
    7. 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.
    8. Tao Zhang, 2016. "Socioeconomic determinants of obesity and hypertension at the county level in China," Mathematical Population Studies, Taylor & Francis Journals, vol. 23(4), pages 239-252, October.
    9. Zhen Wang & Mingzhi Hu & Yu Zhang & Zhuo Chen, 2022. "Housing Security and Settlement Intentions of Migrants in Urban China," IJERPH, MDPI, vol. 19(16), pages 1-16, August.
    10. 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.
    11. Yanjun Yang & Rui Xue & Dong Yang, 2020. "Does market segmentation necessarily discourage energy efficiency?," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-19, May.
    12. Alessio Gaggero & Joan Gil & Dolores Jiménez-Rubio & Eugenio Zucchelli, 2023. "Sick and depressed? The causal impact of a diabetes diagnosis on depression," Health Economics Review, Springer, vol. 13(1), pages 1-13, December.
    13. 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.
    14. 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.
    15. Wen Liu & Guosheng Han & Xiangzi Yan & Xuan Zhang & Guangjie Ning & Armigon Ravshanovich Akhmedov & William Cannon Hunter, 2021. "The Impact of Mental Health Status on Health Consumption of the Elderly in China," IJERPH, MDPI, vol. 18(12), pages 1-17, June.
    16. Huimin Du & Jing Song & Si-ming Li, 2021. "‘Peasants are peasants’: Prejudice against displaced villagers in newly-built urban neighbourhoods in China," Urban Studies, Urban Studies Journal Limited, vol. 58(8), pages 1598-1614, June.
    17. 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.
    18. Dickie, Mark & Adamowicz, Wiktor & Gerking, Shelby & Veronesi, Marcella, 2022. "Risk Perception, Learning, and Willingness to Pay to Reduce Heart Disease Risk," Journal of Benefit-Cost Analysis, Cambridge University Press, vol. 13(3), pages 363-382, October.
    19. Pengyu Chen & Guanglin He & Xing Zou & Mengge Wang & Fuquan Jia & Huiru Bai & Jida Li & Jian Yu & Yanyan Han, 2018. "Forensic characterization and genetic polymorphisms of 19 X-chromosomal STRs in 1344 Han Chinese individuals and comprehensive population relationship analyses among 20 Chinese groups," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-21, September.
    20. Ling Zhang & Xiaodong Tan, 2021. "Educational Assortative Mating and Health: A Study in Chinese Internal Migrants," IJERPH, MDPI, vol. 18(4), pages 1-14, 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.