Evidence map›Paper›PMID 31623423›Full record

ArticleEpidemiology and health2019

Effects of adults' health behaviors and combinations thereof on health outcomes: an analysis using National Health Insurance Service of Korea cohort data.

Hyun-Jung Park, Eun-Jung Kim

Abstract read
In one paragraph

Article in Epidemiology and health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

2 authors.

Hyun-Jung ParkDepartment of Nursing, Pyeongtaek University, Pyeongtaek, Korea.
Eun-Jung KimDepartment of Nursing, Pyeongtaek University, Pyeongtaek, Korea.

Funding

Pyeongtaek University
6 · The paper itself

Abstract

objectivesThe purpose of this study was to estimate the effects of health-risk behaviors, alone and in combination, on health outcomes.

methodsThis study used sample cohort data provided by the National Health Insurance Service focusing on the use of hospital services, direct medical expenses, length of stay, and re-entry rate according to health-risk behaviors. A frequency analysis and the chi-square test were used to investigate associations between the demographic characteristics of study subjects and their health-risk behaviors. The strength of the association of each factor was calculated as the odds ratio in a crossover analysis.

resultsObesity had the largest effect, especially in combination with smoking and drinking. In particular, significant associations were shown with the duration of hospitalization and direct medical expenses. After adjustment for sex, age, economic status, and pre-existing medical conditions, the duration of hospitalization was 7.37 times longer and that of medical expenses was 5.18 times higher in the obese group relative to the non-obese group. Drinking showed a statistically significant association with the number of days of hospitalization. After adjusting for the control variables, the number of hospital days was 1.24 longer in the drinking group than in the non-drinking group.

conclusionsAn analysis of combinations of health risk factors showed obesity had the largest effect.

Indexed as

Health Risk BehaviorsHealth StatusChronic DiseaseCohort StudiesFemaleHumansMaleMiddle AgedNational Health ProgramsObesityRepublic of KoreaChronic diseaseHealth behaviorKoreaNational Health Insurance ServiceObesityOutcome assessment

Identifiers

PMID31623423
PMCPMC6883024

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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.