IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i6p2150-d336235.html
   My bibliography  Save this article

The Relationship between Self-Rated Economic Status and Falls among the Elderly in Shandong Province, China

Author

Listed:
  • Zhuang Hong

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

  • Lingzhong Xu

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

  • Jinling Zhou

    (School of Medicine and Health Management, Shandong University, Jinan 250012, China)

  • Long Sun

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China)

  • Jiajia Li

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

  • Jiao Zhang

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

  • Fangfang Hu

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

  • Zhaorong Gao

    (School of Public Health, Shandong University, Jinan 250012, China
    NHC, Key Laboratory of Health Economics and Policy Research, Shandong University, Jinan 250012, China
    Center for Health Economics Experiment and Public Policy Research, Shandong University, Jinan 250012, China)

Abstract

(1) Background: Older people are more vulnerable and likely to have falls and the consequences of these falls place a heavy burden on individuals, families and society. Many factors directly or indirectly affect the prevalence of falls. The aims of this study were to understand the prevalence and risk factors of falls among the elderly in Shandong, China; the relationship between economic level and falls was also preliminary explored. (2) Methods: Using a multi-stage stratified sampling method, 7070 elderly people aged 60 and over were selected in Shandong Province, China. General characteristics and a self-rated economic status were collected through face to face interviews. Chi-square tests, rank sum tests and two logistic regression models were performed as the main statistical methods. (3) Results: 8.59% of participants reported that they had experienced at least one fall in the past half year. There was a significant difference in experienced falls regarding gender, residence, marital status, educational level, smoking, drinking, hypertension, diabetes, coronary disease, and self-reported hearing. The worse the self-rated economic status, the higher the risk of falling, (poor and worried about livelihood, OR = 3.60, 95%; CI = 1.76–7.35). (4) Conclusions: Women, hypertension, diabetes and self-reported hearing loss were identified as the risk factors of falls in the elderly. The difference of economic level affects the falls of the elderly in rural and urban areas. More fall prevention measures should be provided for the elderly in poverty.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:6:p:2150-:d:336235
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/6/2150/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/17/6/2150/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Cheng, Hong-ru, 2010. "Gap between Urban and Rural Economic Development in Less Developed Areas — A Case of Northern Jiangsu Area, China," Asian Agricultural Research, USA-China Science and Culture Media Corporation, vol. 2(11), pages 1-5, November.
    2. 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.
    Full references (including those not matched with items on IDEAS)

    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. 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.
    2. 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.
    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. 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.

    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:6:p:2150-:d:336235. 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.