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Risk of fall in patients with chronic kidney disease: results from the China health and retirement longitudinal study (CHARLS).
Lin, Pinli; Wan, Biyu; Zhong, Jintao; Wang, Mengya; Tang, Fang; Wang, Lingzhen; Guo, Junjun; Ye, Yuling; Liu, Xusheng; Peng, Lu; Deng, Lili.
Affiliation
  • Lin P; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Wan B; School of Nursing, Hunan University of Chinese Medicine, Changsha, China.
  • Zhong J; The Second Clinical College of Guangzhou University of Chinese Medicine, Guangzhou, China.
  • Wang M; School of Nursing, Hunan University of Chinese Medicine, Changsha, China.
  • Tang F; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
  • Wang L; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
  • Guo J; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
  • Ye Y; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
  • Liu X; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China.
  • Peng L; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China. yuexiangzi@163.com.
  • Deng L; The Second Affiliated Hospital of Guangzhou University of Chinese Medicine (Guangdong Provincial Hospital of Traditional Chinese Medicine), Guangzhou, China. denglili@gzucm.edu.cn.
BMC Public Health ; 24(1): 499, 2024 Feb 16.
Article de En | MEDLINE | ID: mdl-38365639
ABSTRACT

BACKGROUND:

Chronic kidney disease (CKD), often coexisting with various systemic disorders, may increase the risk of falls. Our study aimed to assess the prevalence and risk of falls among patients with CKD in China.

METHODS:

We included patients with/without CKD from China Health and Retirement Longitudinal Study (CHARLS). Our primary outcome was the occurrence of fall accidents within the past 2 years. To enhance the robustness of our findings, we employed a multivariable logistic regression model, conducted propensity score analysis, and applied an inverse probability-weighting model.

RESULTS:

A total of 12,658 participants were included, the prevalence of fall accident rates were 17.1% (2,028/11,837) among participants without CKD and 24.7% (203/821) among those with CKD. In the inverse probability-weighting model, participants with CKD exhibited higher fall accident rates (OR = 1.28, 95% CI 1.08-1.53, p = 0.005 ). Sensitivity and subgroup analysis showed the results still stable.

CONCLUSIONS:

The population in China afflicted with CKD has a significantly heightened risk of experiencing falls, underscoring the crucial importance of intensifying efforts in assessing and preventing fall risks.
Sujet(s)
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Retraite / Insuffisance rénale chronique Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: BMC Public Health Sujet du journal: SAUDE PUBLICA Année: 2024 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Retraite / Insuffisance rénale chronique Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: BMC Public Health Sujet du journal: SAUDE PUBLICA Année: 2024 Type de document: Article Pays d'affiliation: Chine