Evidence map›Paper›PMID 33212823›Full record

ArticleInternational journal of environmental research and public health2020

Identifying the Factors That Affect Depressive Symptoms in Middle-Aged Menopausal Women: A Nationwide Study in Korea.

Kisook Kim

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 34% of its field
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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. Article
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  4. 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

1 author at 1 institution in 1 country.

Kisook KimDepartment of Nursing, Chung-Ang University, Seoul 06974, Korea.ORCID 0000-0003-0343-8692
Chung-Ang University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Depressive symptoms do not persistently negatively affect functioning throughout the life span, but they may affect quality of life (QOL), especially in middle-aged women. Therefore, this study aimed to investigate the factors associated with depressive symptoms in premenopausal and postmenopausal women. This descriptive study was a secondary analysis of the data from the seventh Korea National Health and Nutrition Examination Survey that was conducted in 2016. Of the 8150 participants, the analysis included 644 premenopausal women and 459 postmenopausal women aged 40-60 years. The factors associated with depressive symptoms in the participants were examined using multivariate regression analysis. It was found that the depressive symptoms of postmenopausal middle-aged women were greater than those of premenopausal women. While a high perceived stress status and high pain-related discomfort were factors that influenced depressive symptoms among the premenopausal group, a high level of discomfort due to anxiety/depression, a poor perceived health status, shortened weekend sleep time, and smoking were associated with depressive symptoms in the postmenopausal group. Thus, it is necessary to develop an intervention to decrease depressive symptoms in postmenopausal women that considers their QOL, which is associated with depression, their subjective health status, sleep time, and smoking cessation.

Indexed as

DepressionMenopauseQuality of LifeAdultFemaleHumansMiddle AgedMultivariate AnalysisNutrition SurveysRepublic of KoreaRisk FactorsSurveys and Questionnairesdepressive symptommiddle-agedpostmenopausalwomen

Identifiers

PMID33212823
PMCPMC7698336
OpenAlexW3101491233

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.