Evidence map›Paper›PMID 34384359›Full record

ArticleEnvironmental health and preventive medicine2021

The effect of health literacy on health status among residents in Qingdao, China: a path analysis.

Yiqing Huang, Fei Qi, Rui Wang, Xiaorong Jia, Yani Wang, Peng Lin, Meiyun Geng, Shanpeng Li

Abstract read
In one paragraph

Article in Environmental health and preventive medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

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22citing 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

22 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Yiqing Huang *Department of Epidemiology and Health Statistics, The School of Public Health of Qingdao University, Qingdao, China.
Fei Qi *Qingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Rui WangQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Xiaorong JiaQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Yani WangQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Peng LinQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Meiyun GengQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China.
Shanpeng LiQingdao Municipal Center for Disease Control and Prevention, Qingdao, Shandong, China. lshpeng@163.com.ORCID http://orcid.org/0000-0003-0940-8742

Funding

Health Scientific Research Program of Qingdao 2017-WJZD130Medical and Health Discipline Construction Project of Qingdao 2020B047
6 · The paper itself

Abstract

backgroundHealth literacy is a public health goal which can be used as an independent factor of health outcomes. This study aimed to assess the association between health literacy and health status, as well as the two mediating factors of behavior and self-efficacy among residents aged 15-69 years in Qingdao.

methodsA cross-sectional survey was implemented among residents aged 15-69 years (N = 3793) in Qingdao, China. A combination of stratified cluster random and proportional probability sampling methods was used to select subjects for this study. Data were collected using "The Chinese Citizen Health Literacy Questionnaire (2019)". We proposed a hypothetical model for the relationship between sociodemographic characteristics, health literacy, self-efficacy, health behavior, and health status, and used path analysis to validate the hypothesis.

resultsThe path analysis showed that higher education (β = 0.293) and income (β = 0.135) are positively and directly associated with greater health literacy, which was positively associated with health status (β = 0.057). Health literacy is a direct influencing factor of health behavior (β = 0.070) and self-efficacy (β = 0.099). Health behavior (β = 0.041) and self-efficacy (β = 0.173) exerted a positive direct effect on health status. The model explained 14.1% of variance for health literacy, 3.8% for self-efficacy, 5.7% for health behavior, and 15.0% for health status.

conclusionsHealth literacy was identified to be a critical factor in health status. The results emphasized that the dissemination of health knowledge, development of healthy behavior, and cultivation of self-efficacy should be jointly promoted to reinforce the level of health status among residents in future work.

Indexed as

Health BehaviorHealth Knowledge, Attitudes, PracticeHealth StatusAdolescentAdultAgedChinaCross-Sectional StudiesFemaleHealth LiteracyHumansMaleMiddle AgedYoung AdultHealth behaviorHealth literacyHealth statusPath analysisSelf-efficacy

Identifiers

PMID34384359
PMCPMC8361851

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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.