Evidence map›Paper›PMID 29642655›Full record

ArticleEpidemiology and health2018

Factors related to cancer screening behaviors.

Boyoung Choi, Tae Rim Um, Kwang-Soo Lee

Abstract read
In one paragraph

Article in Epidemiology and health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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

3 authors.

Boyoung ChoiDepartment of Public Health and Medical Administration, Dongyang University, Yeongju, Korea.ORCID 0000-0002-9343-4101
Tae Rim UmDepartment of Health Administration, Yonsei University Graduate School, Wonju, Korea.ORCID 0000-0003-0432-6692
Kwang-Soo LeeDepartment of Health Administration, Yonsei University College of Health Sciences, Wonju, Korea.ORCID 0000-0003-4492-6019

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate the factors related to cancer screening behaviors (CSB).

methodsThe 2014 Korean Community Health Survey used for analysis. The dependent variable was CSB, and the independent variables were demographic, health behavioral, and regional factor. Propensity score matching (PSM) used to control health behavior and regional factors, which were influencing CSB. For statistical analysis, chi-square test and logistic regression analysis used.

resultsLogistic regression analysis after PSM showed that gender, age, marital status, educational level, monthly household income, employment type, alcohol drinking, smoking, body mass index group, chronic disease, and subjective health status influenced the CSB, there were statistical differences.

conclusionsTo improve cancer screening (CS), it is necessary to educate individuals on the need for CS and to carry out a personalized CS program based on an individual's demographic status and health behavior.

Indexed as

Health BehaviorAdultAgedEarly Detection of CancerFemaleHealth SurveysHumansMaleMiddle AgedNeoplasmsPropensity ScoreRepublic of KoreaSocioeconomic FactorsDemographyEarly detection of cancerKorean Community Health SurveyPropensity score

Identifiers

PMID29642655
PMCPMC5968203

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.