ArticleFrontiers in public health2023
General health literacy, COVID-19-related health literacy, and protective behaviors: evidence from a population-based study in Japan.
Article in Frontiers in public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Health literacy and associated factors in adult Korean women: a correlational study using the 2023 Korea National Health and Nutrition Examination Survey data.Women's health nursing (Seoul, Korea) · 2026Article
- COVID-19-related health literacy, general health literacy, and mental health problems: evidence from a population-based study in Japan.Environmental health and preventive medicine · 2026Article
- Changes in Viral Dynamics Following the Legal Relaxation of COVID-19 Mitigation Measures in Japan From Children to Adults: A Single Center Study, 2020-2023.Influenza and other respiratory viruses · 2024Article
- Gut microbiota in post-acute COVID-19 syndrome: not the end of the story.Frontiers in microbiology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Health literacy (HL) can be regarded as a key element of non-pharmaceutical interventions used in emergency responses. The present study aimed to determine the associations of combinations of general HL and COVID-19-related HL with COVID-19 protective behaviors and healthy lifestyle behaviors. Methods: A questionnaire survey was conducted from December 2020 to January 2021 among residents in Japanese metropolitan areas. Valid responses were received from 1,443 residents. The levels of HL were categorized into four groups: low level in both HLs (reference), high level in general HL only, high level in COVID-19-related HL only, and high level in both HLs. The total scores of eight COVID-19 protective behaviors were dichotomized into low and high adherence. Healthy lifestyle behaviors included healthy and balanced diet, adequate sleep, and regular exercise. Poisson regression analyses were conducted to examine the associations between the HL groups and high adherence to COVID-19 protective behaviors. Results: High level in COVID-19-related HL only was associated with high adherence to COVID-19 protective behaviors [prevalence ratio (PR), 1.25; 95% confidence interval (CI), 1.09-1.45], while high level in general HL only was associated with healthy and balanced diet (PR, 1.49; 95% CI, 1.04-2.13), adequate sleep (PR, 1.46; 95% CI, 1.02-2.10), and regular exercise (PR, 2.00; 95% CI, 1.29-3.13). High level in both HLs showed the highest prevalence of high adherence to COVID-19 protective behaviors and healthy lifestyle behaviors. Conclusion: These findings indicate that COVID-19-related HL and general HL can both be considered to enhance protective behaviors.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.