IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p801-d142074.html
   My bibliography  Save this article

Association of Anthropometric Indices of Obesity with Hypertension in Chinese Elderly: An Analysis of Age and Gender Differences

Author

Listed:
  • Qian Wang

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Lingzhong Xu

    (School of Public Health, Shandong University, Jinan 250012, China
    Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China)

  • Jiajia Li

    (School of Public Health, Shandong University, Jinan 250012, China
    Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China)

  • Long Sun

    (School of Public Health, Shandong University, Jinan 250012, China
    Collaborative Innovation Center of Social Risks Governance in Health, School of Public Health, Fudan University, Shanghai 200032, China)

  • Wenzhe Qin

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Gan Ding

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Jing Zhu

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Jiao Zhang

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Zihang Yu

    (School of Public Health, Shandong University, Jinan 250012, China)

  • Su Xie

    (School of Public Health, Shandong University, Jinan 250012, China)

Abstract

This study aims to explore the association of anthropometric indices of obesity with hypertension in Chinese elderly and its possible gender and age differences. A total of 7070 adults age 60 or older were interviewed in a cross-sectional study conducted in 2017. Anthropometric indices for each participant were measured by using standard methods of trained doctoral/master students. We performed two binary logistic regression models to examine the association of the nine different anthropometric indices and hypertension by gender. Lastly, analyses were performed in two steps stratified for age. Comparing individuals with and without hypertension, there were statistically significant differences in anthropometric indices except height, a body shape index (ABSI), and hip index (HI) in males; and except height in females. There were gender differences in the relationship between anthropometric indices and the prevalence of hypertension in Chinese older adults. After stratification by age, the associations of all anthropometric indices became weaker, disappeared, or even went in the opposite direction. Furthermore, body mass index (BMI) in men (except individuals older than 80) and hip circumference (HC) in women showed a significant impact on the risk of hypertension. The association of anthropometric indices of obesity with hypertension in Chinese elderly differ by gender and age. These findings indicate a need to develop gender-specific strategies for the male and female elderly in the primary and secondary prevention of hypertension.

Suggested Citation

  • Qian Wang & Lingzhong Xu & Jiajia Li & Long Sun & Wenzhe Qin & Gan Ding & Jing Zhu & Jiao Zhang & Zihang Yu & Su Xie, 2018. "Association of Anthropometric Indices of Obesity with Hypertension in Chinese Elderly: An Analysis of Age and Gender Differences," IJERPH, MDPI, vol. 15(4), pages 1-14, April.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:801-:d:142074
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/801/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/15/4/801/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Ningze Xu & Shiyu Xie & Yingyao Chen & Jiajia Li & Long Sun, 2020. "Factors Influencing Medication Non-Adherence among Chinese Older Adults with Diabetes Mellitus," IJERPH, MDPI, vol. 17(17), pages 1-10, August.
    2. Rajaa Al-Raddadi & Jawaher Al-Ahmadi & Suhad Bahijri & Ghada M. Ajabnoor & Hanan Jambi & Sumia Enani & Basmah Medhat Eldakhakhny & Lubna Alsheikh & Anwar Borai & Jaakko Tuomilehto, 2021. "Gender Differences in The Factors associated with Hypertension in Non-Diabetic Saudi Adults—A Cross-Sectional Study," IJERPH, MDPI, vol. 18(21), pages 1-14, October.
    3. Machoene D. Sekgala & Ronel Sewpaul & Maretha Opperman & Zandile J. Mchiza, 2022. "Comparison of the Ability of Anthropometric Indices to Predict the Risk of Diabetes Mellitus in South African Males: SANHANES-1," IJERPH, MDPI, vol. 19(6), pages 1-16, March.
    4. Fangfang Hu & Lingzhong Xu & Jinling Zhou & Jiao Zhang & Zhaorong Gao & Zhuang Hong, 2020. "Association between Overweight, Obesity and the Prevalence of Multimorbidity among the Elderly: Evidence from a Cross-Sectional Analysis in Shandong, China," IJERPH, MDPI, vol. 17(22), pages 1-10, November.
    5. Xichen Wang & Mei Sun & Xiaohong Li & Jun Lu & Gang Chen, 2020. "Effects of Disability Type on the Association between Age and Non-Communicable Disease Risk Factors among Elderly Persons with Disabilities in Shanghai, China," IJERPH, MDPI, vol. 17(15), pages 1-13, July.
    6. Zhuang Hong & Lingzhong Xu & Jinling Zhou & Long Sun & Jiajia Li & Jiao Zhang & Fangfang Hu & Zhaorong Gao, 2020. "The Relationship between Self-Rated Economic Status and Falls among the Elderly in Shandong Province, China," IJERPH, MDPI, vol. 17(6), pages 1-9, March.

    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:15:y:2018:i:4:p:801-:d:142074. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.