Evidence map›Paper›PMID 32548043›Full record

ArticleIranian journal of public health2020

Involuntary Weight Loss and Late-Life Depression in Korean Older Adults.

Youngyun Jin, Jinkyung Cho, Inhwan Lee, Soohyun Park, Donghyun Kim, Jiyoung Kong, Hyunsik Kang

Open access · goldAbstract read
In one paragraph

Article in Iranian journal of public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 16% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Incidence of depression among community-dwelling older adults: A systematic review.Psychogeriatrics : the official journal of the Japanese Psychogeriatric Society · 2024
    Pooled it
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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

7 authors at 1 institution in 1 country.

Youngyun JinCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Jinkyung ChoCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Inhwan LeeCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Soohyun ParkCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Donghyun KimCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Jiyoung KongCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Hyunsik KangCollege of Sport Science, Sungkyunkwan University, Suwon, Republic of Korea.
Sungkyunkwan University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the association between involuntary weight loss (IWL) and late-life depression (LLD) in a population-based cohort study.

methodsData (N=6945) obtained from the 2008 baseline and 2011 follow-up assessments of the Living Profiles of Older People Survey in Korea were used. Changed body weight between the 2008 and 2011 was classified into stable weight (<-5% ∼ <+5%), lightweight loss (≥ -5% ∼ <-10%), moderate weight loss (≥ -10%), lightweight gain (+≥5 ∼ <+10%), and moderate weight gain (≥+10%).

resultsCompared to the stable weight group, the moderate weight loss group had a higher risk of LLD (odds ratio=1.99, 95% confidence interval=1.61-2.46,

conclusionIWL is significantly associated with LLD in Korean older adults, implying the prognostic importance of IWL for presenting mental health issues later in life.

Indexed as

CovariatesInvoluntary weight lossMental healthOlder adult

Identifiers

PMID32548043
PMCPMC7283192
OpenAlexW3015520861

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.