Literature DB >> 26344870

The Prevalence and Determinants of Using Traditional Chinese Medicine Among Middle-aged and Older Chinese Adults: Results From the China Health and Retirement Longitudinal Study.

Tingting Liu1, Xiang Li2, Zhi-Yong Zou3, Changwei Li4.   

Abstract

BACKGROUND: Although traditional Chinese medicine (TCM) is known as an integrative part of China's health care system, little is known on the prevalence and determinants of using TCM among the middle-aged and older Chinese population, especially among those with chronic conditions.
METHODS: The nationwide survey data of 17,708 Chinese adults aged 45 and older from the China Health and Retirement Longitudinal Study were used to estimate the prevalence of TCM. SAS SURVEYLOGISTIC procedure was applied to identify factors associated with using TCM. Analysis took into account the complex survey design and nonresponse rate.
RESULTS: The prevalence of using TCM was 19.3% (95% CI 18.4%-20.1%) among the overall participants and 24.5% (95% CI 23.4%-25.5%) among those with self-reported chronic conditions. Participants with stroke, cardiovascular disease, and chronic kidney diseases were the most frequent users of TCM to treat their conditions. Age, individual income, and family income were associated with TCM use; however, when further controlling for chronic diseases, these variables became nonsignificant. Besides TCM, 4.4% (3.8%-5.0%) and 4.6% (4.0%-5.2%) of the overall participants and those with chronic conditions, respectively, used other forms of complementary and alternative medicine.
CONCLUSIONS: The prevalence of using TCM was high among the middle-aged and older Chinese population. The use of TCM was mainly driven by chronic conditions. The main conditions that patients used TCM to treat were stroke, cardiovascular disease, and chronic kidney disease.
Copyright © 2015 AMDA – The Society for Post-Acute and Long-Term Care Medicine. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Traditional Chinese medicine; chronic diseases; determinants; prevalence

Mesh:

Year:  2015        PMID: 26344870     DOI: 10.1016/j.jamda.2015.07.011

Source DB:  PubMed          Journal:  J Am Med Dir Assoc        ISSN: 1525-8610            Impact factor:   4.669


  10 in total

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  10 in total

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