Evidence map›Paper›PMID 36339244›Full record

ArticleFrontiers in public health2022

Self-medication and its typology in Chinese elderly population: A cross-sectional study.

Shangren Qin, Junjie Zhao, Mengqiu Zhou, Yenuan Cheng, Ye Ding

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. 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
1.0field-weighted citation impact, top 18% 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.

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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

5 authors at 2 institutions in 1 country.

Shangren QinSchool of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Junjie ZhaoSchool of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Mengqiu ZhouSchool of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Yenuan ChengSchool of Public Health, Hangzhou Normal University, Hangzhou, Zhejiang, China.
Ye DingSchool of Public Health, Hangzhou Medical College, Hangzhou, Zhejiang, China.
Hangzhou Normal University · CNHangzhou Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: This paper aims to evaluate the prevalence of self-medication and its associated factors among the Chinese elderly. Also, according to whether the elderly communicate with doctors (no matter before or after self-medication), we aimed to categorize self-medication and explore the associated factors. Methods: It was a cross-sectional study. Data were derived from the 2018 wave of the China Health and Retirement Longitudinal Study (CHARLS). According to whether communicate with doctors or not, self-medication was reclassified as "self-medicate and NOT communicating with a doctor," and "self-medicate and communicate with a doctor." A binary logistic regression was used to identify which elderly were more likely to self-medicate, and a multinomial logistic regression was applied to explore the associated influencing factors of self-medication classifications. Results: A total of 17,445 individuals aged ≥45 years were enrolled. The prevalence of self-medication was 58.60%. Self-medication was strongly associated with sex, education level, pension, self-reported general health status, chronic illness, satisfaction with local medical services, and three province-level socioeconomic welfare variables. About 19.64% of self-medication populations had communicated with a doctor. Higher education level and younger age were significantly associated with a higher probability of "self-medication and communication with a doctor." Conclusion: The prevalence of self-medication among the Chinese elderly is increasing over the year. Health education on appropriate medication use targeting elder adults with low education levels is highly recommended. The typology of self-medication and its factors are new research entry points and could be meaningful for future studies.

Indexed as

Cross-Sectional StudiesAdultAgedChinaChronic DiseaseHumansLongitudinal StudiesSelf ReportChinacommunication with a doctorcross-sectional studyelderlyself-medicationtypology

Identifiers

PMID36339244
PMCPMC9627487
OpenAlexW4306842026

What OpenQuestion holds

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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.