Evidence map›Paper›PMID 32846749›Full record

ArticleMedicine2020

Prevalence and risk factors of low health literacy in residents of Anhui province: A cross-sectional survey.

Chao Wang, Lan Zhou

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 82% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Chao WangDepartment of Traditional Chinese Medicine, The First Affiliated Hospital of Bengbu Medical College, Bengbu, China.
Lan Zhou
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This survey aimed to evaluate the prevalence of low health literacy and correlations of demographic characteristics with low health literacy risk in residents of Anhui province.A total of 5120 residents of Anhui province were interviewed in this cross-sectional survey, and 4816 (94.1%) gave valid responses. Sociodemographic characteristics were collected. Health literacy and its 3 subscales, including basic knowledge and concepts, lifestyle, and health-related skill, were assessed. Low health literacy was defined as <80.0% of the total score or score of each subscale.Mean total health literacy score was 62.7±17.2 (maximum 100 points), and was 31.5 ± 9.0 (maximum 47 points), 17.0 ± 4.8 (maximum 28 points), and 14.2 ± 4.1 (maximum 25 points) in terms of basic knowledge and concepts score, lifestyle score, and health-related skill score, respectively. The prevalence of low health literacy was 81.4%, and was 71.3% in terms of basic knowledge and concepts subscale, 87.9% with regard to lifestyle subscale, and 86.3% in view of health-related skill subscale. In addition, older age (P = .001), male (P < .001), decreased education level (P < .001), lower annual household income (P < .001), and location at rural area (P < .001) associated with increased risk of low health literacy. Moreover, multivariate logistic regression revealed that male, lower education level, and location at rural area were independent risk factors of low health literacy (all P < .05).The prevalence of low health literacy is high in residents of Anhui province, and male, lower education level, as well as location at rural area are independent risk factors of low health literacy.

Indexed as

AdultAgedChinaCross-Sectional StudiesFemaleHealth LiteracyHumansMaleMiddle AgedRisk Factors

Identifiers

PMID32846749
PMCPMC7447391
OpenAlexW3063277628

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

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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.