Evidence map›Paper›PMID 39023697›Full record

ArticleAging clinical and experimental research2024

Health literacy and falls among community-dwelling older people in China: is there a sex difference?

Shaojie Li, Jingjing Wang, Longbing Ren, Pengpeng Ye, Wenyi Niu, Mingzhi Yu, Yang Hu, Yuling Jiang, Yifei Wu, Maoyi Tian and 2 more

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Article in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Shaojie LiSchool of Public Health, Peking University, Beijing, China.
Jingjing WangSchool of Public Health, Peking University, Beijing, China.
Longbing RenSchool of Public Health, Peking University, Beijing, China.
Pengpeng YeNational Centre for Non-Communicable Disease Control and Prevention, Chinese Centre for Disease Control and Prevention, Beijing, China.
Wenyi NiuSchool of Public Health, Peking University, Beijing, China.
Mingzhi YuSchool of Public Health, Peking University, Beijing, China.
Yang HuSchool of Public Health, Peking University, Beijing, China.
Yuling JiangSchool of Public Health, Peking University, Beijing, China.
Yifei WuSchool of Public Health, Peking University, Beijing, China.
Maoyi TianSchool of Public Health, Harbin Medical University, Harbin, 150081, China.
Yali ZhaoCentral Laboratory, Hainan Hospital of Chinese People's Liberation Army General Hospital, Sanya, China. zhaoyl301@163.com.
Yao YaoSchool of Public Health, Peking University, Beijing, China. yao.yao@bjmu.edu.cn.

Funding

National Natural Science Foundation of China 72374013Specific Research Fund of The Innovation Platform for Academicians of Hainan Province YSPTZX202216
6 · The paper itself

Abstract

backgroundHealth literacy is one of the important determinants of healthy aging, yet few studies have focused on the association between health literacy and falls.

aimsThis study aims to explore the relationship between health literacy and falls, with a focus on sex differences among older people in China.

methodsThis cross-sectional study enrolled 2,144 older people aged ≥ 60 years from Shandong Province, China in 2021. We used general health literacy screening scale to assess health literacy, and collected the incidence of falls in the past year. Logistic regression models were employed to analyze the relationship between health literacy and falls. We investigated the sex differences by subgroup analyses.

resultsThe prevalence of adequate health literacy and falls was 21.7% (95% CI: 20.0-23.5%) and 25.4% (95% CI: 23.6-27.3%), respectively. In a fully-adjusted model, adequate health literacy was associated with a lower prevalence of falls in older adults (OR = 0.71, 95%CI: 0.52-0.96). Subgroup analysis revealed sex differences in this relationship (P

conclusionsOlder people with adequate health literacy have lower prevalence of falls, which appears to differ by sex. This relationship was significant among men but not among women. These findings emphasize the need for policymakers and healthcare providers to consider sex differences when designing and implementing programs aimed at improving health literacy and preventing falls in the older population. Improving health literacy among older women could be a strategic component in bridging sex inequality in falls.

Indexed as

Accidental FallsHealth LiteracyIndependent LivingAgedAged, 80 and overChinaCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceSex FactorsCross-sectional studyFallsHealth literacySex difference

Identifiers

PMID39023697
PMCPMC11258050

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.