Evidence map›Paper›PMID 31344995›Full record

ArticleKorean journal of family medicine2019

Socioeconomic Vulnerability, Mental Health, and Their Combined Effects on All-Cause Mortality in Koreans, over 45 Years: Analysis of Korean Longitudinal Study of Aging from 2006 to 2014.

Eun Mi Kim, Sung Hi Kim, Geon Ho Lee, Yun-A Kim

Abstract read
In one paragraph

Article in Korean journal of family medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. KLoSA-Korean Longitudinal Study of Aging.Korean journal of family medicine · 2020
    Article
4 · The record

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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

4 authors.

Eun Mi KimDepartment of Family Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea.
Sung Hi KimDepartment of Family Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea.
Geon Ho LeeDepartment of Family Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea.
Yun-A KimDepartment of Family Medicine, Catholic University of Daegu School of Medicine, Daegu, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe evaluated the effects of socioeconomic factors and psychosocial factors, both individually and combined, on all-cause mortality risk (mortality risk).

methodsWe conducted an 8-year (2006-2014) longitudinal analysis of 10,247 individuals who took part in the Korean Longitudinal Study of Aging, a nationwide survey of people aged 45-79 years. Socioeconomic vulnerability (SEV) was assessed with factors such as education, household income, commercial health insurance, and residential area. Mental health (MH) was assessed with factors such as depression, social engagement, and life satisfaction. The covariates were age, gender, marital status, cohabiting, number of chronic diseases, and health behaviors such as regular exercise, smoking, and alcohol intake. We used a Cox proportional hazard analysis to investigate the effects of SEV and MH on mortality risk and also to analyze the superimposed effects of SEV-MH on mortality risk.

resultsAfter the controlling for the covariates, high SEV and negative MH were found to be strong predictors of all-cause mortality. The highest quartile of SEV (vs. lowest) had a 1.70 times greater mortality risk (hazard ratio [HR], 1.70; 95% confidence interval [CI], 1.24-2.33) and the highest quartile of MH (vs. lowest) had a 2.13 times greater mortality risk (HR, 2.13; 95% CI, 1.72-2.64). Being in the highest quartile for both SEV and MH (vs. lowest) increased mortality risk more than 3 times (HR, 3.11; 95% CI, 2.20-4.40).

conclusionHigh SEV and negative MH were independently associated with increased mortality risk, and their superimposed effects were associated with an increased risk of mortality.

Indexed as

Mental HealthMortalitySocioeconomic FactorsSuperimposed Effects

Identifiers

PMID31344995
PMCPMC6669393

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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.