IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i10p3395-d357556.html
   My bibliography  Save this article

Multimorbidity among Two Million Adults in China

Author

Listed:
  • Xiaowen Wang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China)

  • Shanshan Yao

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

  • Mengying Wang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China)

  • Guiying Cao

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

  • Zishuo Chen

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

  • Ziting Huang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

  • Yao Wu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China)

  • Ling Han

    (Department of Medicine, Yale School of Medicine, New Haven, CT 06510, USA)

  • Beibei Xu

    (Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

  • Yonghua Hu

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing 100191, China
    Medical Informatics Center, Peking University Health Science Center, Beijing 100191, China)

Abstract

To explore the multimorbidity prevalence and patterns among middle-aged and older adults from China. Data on thirteen chronic diseases were collected from 2,097,150 participants aged over 45 years between January 1st 2011 and December 31st 2015 from Beijing Medical Claim Data for Employees. Association rule mining and hierarchical cluster analysis were applied to assess multimorbidity patterns. Multimorbidity prevalence was 51.6% and 81.3% in the middle-aged and older groups, respectively. The most prevalent disease pair was that of osteoarthritis and rheumatoid arthritis (OARA) with hypertension (HT) (middle-aged: 22.5%; older: 41.8%). Ischaemic heart disease (IHD), HT, and OARA constituted the most common triad combination (middle-aged: 11.0%; older: 31.2%). Among the middle-aged group, the strongest associations were found in a combination of cerebrovascular disease (CBD), OARA, and HT with IHD in males (lift = 3.49), and CBD, OARA, and COPD with IHD in females (lift = 3.24). Among older patients, glaucoma and cataracts in females (lift = 2.95), and IHD, OARA, and glaucoma combined with cataracts in males (lift = 2.45) were observed. Visual impairment clusters, a mixed cluster of OARA, IHD, COPD, and cardiometabolic clusters were detected. Multimorbidity is prevalent among middle-aged and older Chinese individuals. The observations of multimorbidity patterns have implications for improving preventive care and developing appropriate guidelines for morbidity treatment.

Suggested Citation

  • Xiaowen Wang & Shanshan Yao & Mengying Wang & Guiying Cao & Zishuo Chen & Ziting Huang & Yao Wu & Ling Han & Beibei Xu & Yonghua Hu, 2020. "Multimorbidity among Two Million Adults in China," IJERPH, MDPI, vol. 17(10), pages 1-13, May.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:10:p:3395-:d:357556
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/10/3395/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/10/3395/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lili Wang & Lei Si & Fiona Cocker & Andrew J. Palmer & Kristy Sanderson, 2018. "A Systematic Review of Cost-of-Illness Studies of Multimorbidity," Applied Health Economics and Health Policy, Springer, vol. 16(1), pages 15-29, February.
    2. Luc F. Van Gaal & Ilse L. Mertens & Christophe E. De Block, 2006. "Mechanisms linking obesity with cardiovascular disease," Nature, Nature, vol. 444(7121), pages 875-880, December.
    3. Chavent, Marie & Kuentz-Simonet, Vanessa & Liquet, Benoît & Saracco, Jérôme, 2012. "ClustOfVar: An R Package for the Clustering of Variables," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 50(i13).
    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. Yaqin Zhong & Hanqing Xi & Xiaojun Guo & Tiantian Wang & Yanan Wang & Jian Wang, 2022. "Gender and Socioeconomic Differences in the Prevalence and Patterns of Multimorbidity among Middle-Aged and Older Adults in China," IJERPH, MDPI, vol. 19(24), pages 1-11, December.

    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. Hwi Jun Kim & So Yeon Oh & Dong-Woo Choi & Eun-Cheol Park, 2019. "The Association between Eating-Out Rate and BMI in Korea," IJERPH, MDPI, vol. 16(17), pages 1-14, August.
    2. Wendy Hens & Dirk Vissers & Nick Verhaeghe & Jan Gielen & Luc Van Gaal & Jan Taeymans, 2021. "Unsupervised Exercise Training Was Not Found to Improve the Metabolic Health or Phenotype over a 6-Month Dietary Intervention: A Randomised Controlled Trial with an Embedded Economic Analysis," IJERPH, MDPI, vol. 18(15), pages 1-13, July.
    3. Eunkyung Lee & Vanessa Kady & Eric Han & Kayla Montan & Marjona Normuminova & Michael J. Rovito, 2022. "Healthy Eating and Mortality among Breast Cancer Survivors: A Systematic Review and Meta-Analysis of Cohort Studies," IJERPH, MDPI, vol. 19(13), pages 1-24, June.
    4. Kim, Ji-Il & Yu, Chia-Yuan & Woo, Ayoung, 2023. "The impacts of visual street environments on obesity: The mediating role of walking behaviors," Journal of Transport Geography, Elsevier, vol. 109(C).
    5. Sudhirsen Kowlessur & Zhibin Hu & Jaysing Heecharan & Jianming Wang & Juncheng Dai & Jaakko O. Tuomilehto & Stefan Söderberg & Paul Zimmet & Noël C. Barengo, 2018. "Predictors of Hypertension in Mauritians with Normotension and Prehypertension at Baseline: A Cohort Study," IJERPH, MDPI, vol. 15(7), pages 1-12, July.
    6. Àngel Lavado & Júlia Serra-Colomer & Mateu Serra-Prat & Emili Burdoy & Mateu Cabré, 2023. "Relationship of frailty status with health resource use and healthcare costs in the population aged 65 and over in Catalonia," European Journal of Ageing, Springer, vol. 20(1), pages 1-10, December.
    7. Cristhiane Favero de Aguiar & Pedro M Mendes Moraes Vieira, 2018. "M1 Extra Weight in the Balance: The Role of Macrophages in Obesity," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 7(4), pages 72-75, June.
    8. Yifan Zhang & Ranjita Misra & Usha Sambamoorthi, 2020. "Prevalence of Multimorbidity among Asian Indian, Chinese, and Non-Hispanic White Adults in the United States," IJERPH, MDPI, vol. 17(9), pages 1-16, May.
    9. Esposito, Lucio & Villaseñor, Adrián & Rodríguez, Enrique Cuevas & Millett, Christopher, 2020. "The economic gradient of obesity in Mexico: Independent predictive roles of absolute and relative wealth by gender," Social Science & Medicine, Elsevier, vol. 250(C).
    10. Emyr Reisha Isaura & Yang-Ching Chen & Shwu-Huey Yang, 2018. "The Association of Food Consumption Scores, Body Shape Index, and Hypertension in a Seven-Year Follow-Up among Indonesian Adults: A Longitudinal Study," IJERPH, MDPI, vol. 15(1), pages 1-12, January.
    11. Mutaz Ombada & Mulham Ombada, 2020. "Association between Healthy Lifestyle and Management of Hypertension; A Descriptive Study undertaking Sudanese Adult," Global Journal of Health Science, Canadian Center of Science and Education, vol. 12(1), pages 106-106, January.
    12. Seung Yun Lee & Won Park & Young Ju Suh & Mie Jin Lim & Seong-Ryul Kwon & Joo-Hyun Lee & Young Bin Joo & Youn-Kyung Oh & Kyong-Hee Jung, 2019. "Association of Serum Uric Acid with Cardiovascular Disease Risk Scores in Koreans," IJERPH, MDPI, vol. 16(23), pages 1-10, November.
    13. Sung-Woo Kim & Won-Sang Jung & Wonil Park & Hun-Young Park, 2019. "Twelve Weeks of Combined Resistance and Aerobic Exercise Improves Cardiometabolic Biomarkers and Enhances Red Blood Cell Hemorheological Function in Obese Older Men: A Randomized Controlled Trial," IJERPH, MDPI, vol. 16(24), pages 1-11, December.
    14. Dirk Vissers & Wendy Hens & Jan Taeymans & Jean-Pierre Baeyens & Jacques Poortmans & Luc Van Gaal, 2013. "The Effect of Exercise on Visceral Adipose Tissue in Overweight Adults: A Systematic Review and Meta-Analysis," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-10, February.
    15. Ming-Feng Wu & Yu-Hsuan Chen & Hui-Chen Chen & Wei-Chang Huang, 2020. "Interactions among Obstructive Sleep Apnea Syndrome Severity, Sex, and Obesity on Circulatory Inflammatory Biomarkers in Patients with Suspected Obstructive Sleep Apnea Syndrome: A Retrospective, Cros," IJERPH, MDPI, vol. 17(13), pages 1-13, June.
    16. Linda P Bolin & Carolyn E Horne & Patricia B Crane & James R Powell, 2018. "Low‐salt diet adherence in African Americans with hypertension," Journal of Clinical Nursing, John Wiley & Sons, vol. 27(19-20), pages 3750-3757, October.
    17. Goosby, Bridget J. & Cheadle, Jacob E. & McDade, Thomas, 2016. "Birth weight, early life course BMI, and body size change: Chains of risk to adult inflammation?," Social Science & Medicine, Elsevier, vol. 148(C), pages 102-109.
    18. Marzena Ratajczak & Damian Skrypnik & Paweł Bogdański & Edyta Mądry & Jarosław Walkowiak & Monika Szulińska & Janusz Maciaszek & Matylda Kręgielska-Narożna & Joanna Karolkiewicz, 2019. "Effects of Endurance and Endurance–Strength Training on Endothelial Function in Women with Obesity: A Randomized Trial," IJERPH, MDPI, vol. 16(21), pages 1-13, November.
    19. Cristhiane Favero de Aguiar & Pedro M Mendes Moraes Vieira, 2018. "M1 Extra Weight in the Balance: The Role of Macrophages in Obesity," Current Research in Diabetes & Obesity Journal, Juniper Publishers Inc., vol. 7(4), pages 1-4, June.
    20. Luther Elliott & Christopher Keith Haddock & Stephanie Campos & Ellen Benoit, 2019. "Polysubstance use patterns and novel synthetics: A cluster analysis from three U.S. cities," PLOS ONE, Public Library of Science, vol. 14(12), pages 1-17, December.

    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:17:y:2020:i:10:p:3395-:d:357556. 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.