Evidence map›Paper›PMID 28540157›Full record

ArticleOsong public health and research perspectives2017

Sex-based Association between Depression and Metabolic Syndrome in Korean Middle-aged and Older Adults.

Jin Suk Ra, Hye Sun Kim

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2017. 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.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Depression among Middle-aged Persons.Osong public health and research perspectives · 2017
    Article
  10. 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.

Jin Suk RaCollege of Nursing, Chungnam National University, Daejeon, Korea.
Hye Sun KimCollege of Nursing, Chungnam National University, Daejeon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to identify the sex-based association between depression and the development of metabolic syndrome (Mets) among middle-aged and older Korean adults.

methodsA cross-sectional design was used for the secondary analysis of the 2010-2014 Korean National Health and Nutrition Examination Survey. Data from 1,938 men and 2,404 women were analyzed. Mets was defined in accordance with the criteria used for clinical diagnosis. Depression was assessed with a question about having clinical depression. The association between depression and the development of Mets with or without adjustment for covariates was identified by conducting logistic regression analysis on weighted data using a complex sample procedure.

resultsMore women than men had depression. Before covariate adjustment, depression was significantly associated with the development of Mets among women (odds ratio [OR], 1.586; 95% confidence interval [CI], 1.152-2.183) and with a higher triglyceride level among men (OR, 1.679; 95% CI, 1.001-2.818). After covariate adjustment; depression was significantly associated with higher waist circumference among women (adjusted OR [AOR], 1.532; 95% CI, 1.046-2.245) and higher triglyceride level (AOR, 1.511; 95% CI, 1.029-2.219) than was Mets. Conversely, depression did not have significant effects on the development of Mets among men.

conclusionDepression was associated with the development of Mets among middle-aged and older Korean women. Healthcare providers in communities should assess women with depression for the presence of Mets components. Interventions for relieving depressive symptoms should also be provided to women at risk for Mets.

Indexed as

depressionmetabolic syndrome Xsex characteristics

Identifiers

PMID28540157
PMCPMC5441435

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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.