Evidence map›Paper›PMID 33374642›Full record

ArticleInternational journal of environmental research and public health2020

The Impact of Transitions in Caregiving Status on Depressive Symptoms among Older Family Caregivers: Findings from the Korean Longitudinal Study of Aging.

Kyungduk Hurh, Hin Moi Youn, Yoon Sik Park, Eun-Cheol Park, Sung-In Jang

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 17% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 2 institutions in 1 country.

Kyungduk HurhDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0002-8295-7767
Hin Moi YounInstitute of Health Services Research, Yonsei University, Seoul 03722, Korea.
Yoon Sik ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
Eun-Cheol ParkDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.ORCID 0000-0002-2306-5398
Sung-In JangDepartment of Preventive Medicine, Yonsei University College of Medicine, Seoul 03722, Korea.
Yonsei University · KRYonsei University Health System · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study identifies the effects of transitions in caregiving status on depressive symptoms among middle-aged or older adults who care for family members with limitations in activities of daily living (ADL). Data were collected from the 2006-2018 Korean Longitudinal Study of Aging. A total of 7817 subjects were included. On the basis of their caregiving status transition, participants were categorized into four groups: started caregiving, continued caregiving, stopped caregiving, and noncaregivers. Depressive symptoms were measured using the 10 item Center for Epidemiologic Studies Depression Scale. Analysis using a generalized estimating equation model and subgroup analyses were conducted. Compared to noncaregivers, women who started caregiving showed more depressive symptoms in the following year (β 0.761,

Indexed as

AgingDepressionActivities of Daily LivingAgedCaregiversFamilyFemaleHumansLongitudinal StudiesMaleMiddle AgedRepublic of KoreaStress, Psychologicalactivities of daily livingcaregiving statusdepressive symptomsfamily caregiversmental health

Identifiers

PMID33374642
PMCPMC7793498
OpenAlexW3113994876

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.