Evidence map›Paper›PMID 34895205›Full record

Observational studyBMC public health2021

Related Factors for Impaired Fasting Glucose in Korean Adults: A Population Based Study.

Hyunjin Lee, Bohyun Kim, Youngshin Song

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

3 authors.

Hyunjin LeeCollege of Nursing, Eulji University, 712, Dongil-ro, Uijeongbu-si, Gyeonggi-do, Republic of Korea.ORCID 0000-0001-6585-0338
Bohyun KimDepartment of Nursing, Hallym Polytechnic University, 48, Janghak-gil, Dong-myeon Chuncheon-si, Gangwon-do, 24210, Republic of Korea. bhkim@hsc.ac.kr.ORCID 0000-0002-0604-1319
Youngshin SongCollege of Nursing, Chungnam National University, Jung-gu, Munhwa-ro 266, Daejeon, Daejeon, 35015, Republic of Korea. yssong87@cnu.ac.kr.ORCID 0000-0002-2203-5840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIndividuals with impaired fasting glucose (IFG) who have poor health behaviors are at a greater risk for various health outcomes. This study compared the health behaviors and health literacy between individuals with non-IFG and IFG; factors that were associated with IFG were identified by sex.

methodsThis study was an observational study with a cross-sectional design based on data from the Korea National Health and Nutrition Examination Survey (KNHANES) that used a stratified, multi-stage, cluster-sampling design to obtain a nationally representative sample. This study analyzed the KNHANES Health Examination Survey and Health Behavior Survey from 2016 to 2018 (N=9919). Multiple logistic regression analysis was employed to compute the odds ratios of health behaviors and health literacy to identify the risk factors for IFG.

resultsThe prevalence of IFG among the total was 29.0% (weighted n=2826, 95% CI 27.8-30.2). In the IFG group, 63.6% were male and 36.4% were female (X

conclusionsStrategies should be targeted to improve health behaviors and health literacy for those in their 40s and 60s, male in shift work, those who frequently dine out, overweight male, female with low economic statuses, and frequent drinkers. Moreover, healthcare providers should understand the barriers to health behaviors and literacy to effectively deliver healthcare service.

Indexed as

Blood GlucoseFastingAdultCross-Sectional StudiesFemaleHumansMaleNutrition SurveysPrevalenceRepublic of KoreaRisk FactorsBlood GlucoseDiabetes mellitusHealth behaviorHealth LiteracyImpaired fasting glucose

Identifiers

PMID34895205
PMCPMC8666061

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.