Evidence map›Paper›PMID 37231363›Full record

ArticleBMC public health2023

Effect modification by geographic area on the association between health literacy and self-rated health: a nationwide cross-sectional study in Japan.

Hirono Ishikawa, Runa Ogawa, Aki Otsuki, Junko Saito, Akiko Yaguchi-Saito, Aya Kuchiba, Maiko Fujimori, Yoshiharu Fukuda, Taichi Shimazu, INFORM Study Group

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  4. Article
  5. Health Literacy in People with Type 1 Diabetes: A Scoping Review.International journal of environmental research and public health · 2025
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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

10 authors at 4 institutions in 3 countries.

Hirono IshikawaTeikyo University Graduate School of Public Health, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan. hirono-tky@umin.ac.jp.
Runa OgawaTeikyo University Graduate School of Public Health, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan.
Aki OtsukiDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Junko SaitoDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Akiko Yaguchi-SaitoDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Aya KuchibaGraduate School of Health Innovation, Kanagawa University of Human Services, 3-25-10 Tonomachi, Kawasaki-Ku, Kawasaki-Shi, Kanagawa, 210-0821, Japan.
Maiko FujimoriDivision of Survivorship Research, National Cancer Center Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan.
Yoshiharu FukudaTeikyo University Graduate School of Public Health, 2-11-1 Kaga, Itabashi-Ku, Tokyo, 173-8605, Japan.
Taichi ShimazuDivision of Behavioral Sciences, National Cancer Center Institute for Cancer Control, National Cancer Center, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan. tshimazu@ncc.go.jp.
INFORM Study Group
Teikyo University · JPNational Cancer Center · USNational Cancer Research Institute · GBTokiwa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHealth literacy (HL) has gained increasing attention as a factor related to health behaviors and outcomes. This study aimed to investigate geographic differences in HL levels and effect modification by geographic area on their relationship with self-rated health in the Japanese population using a nationwide sample.

methodsData for this study were derived from a nationally representative cross-sectional survey on health information access for consumers in Japan using a mailed self-administered questionnaire in 2020 (INFORM Study 2020). Valid responses from 3,511 survey participants, selected using two-stage stratified random sampling, were analyzed in this study. HL was measured using the Communicative and Critical Health Literacy Scale (CCHL). Multiple regression and logistic regression analyses were conducted to examine the associations between geographic characteristics and HL and effect modification on the association between HL and self-rated health by geographic area, controlling for sociodemographic characteristics.

resultsThe mean HL score was 3.45 (SD = 0.78), somewhat lower compared with previous studies on the Japanese general population. HL was higher in Kanto area than in Chubu area, after controlling for sociodemographic factors and municipality size. Furthermore, HL was positively associated with self-rated health after controlling for sociodemographic and geographic factors; however, this association was more evident in eastern areas than in western areas.

conclusionThe findings indicate geographic differences in HL levels and effect modification by geographic area on the relationship between HL and self-rated health in the general Japanese population. HL was more strongly associated with self-rated health in eastern areas than in western areas. Further investigation is needed to explore the moderating effects of areal features, including the distribution of primary care physicians and social capital, when formulating strategies to improve HL in different contexts.

Indexed as

Health LiteracyCross-Sectional StudiesHealth BehaviorHumansJapanSurveys and QuestionnairesGeographic differencesHealth literacyINFORM StudyJapanSelf-rated health

Identifiers

PMID37231363
PMCPMC10209573
OpenAlexW4378222335

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.