Evidence map›Paper›PMID 37675206›Full record

ArticleJournal of family & community medicine

Predictors of depression among the elderly persons with disabilities in Indonesia.

The Maria M Widagdo, Bernadeta D Widyaningsih, Setywanty Layuklinggi

Open access · goldAbstract read
In one paragraph

Article in Journal of family & community medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 2 countries.

The Maria M WidagdoDepartment of Public Health, Faculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia.
Bernadeta D WidyaningsihDepartment of Psychology, Parahita Padma Institute, Yogyakarta, Indonesia.
Setywanty LayuklinggiDepartment of Public Health, Faculty of Medicine, Duta Wacana Christian University, Yogyakarta, Indonesia.
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDepression is a major mental problem in the elderly, particularly those with disability. This study's aim was to identify variables that predict depression in the elderly with disabilities. MATERIALS AND

methodsThis cross-sectional study was conducted in Gunungkidul Regency and Yogyakarta City from April to June 2021. The study participants were community-dwelling elderly aged 60 years and above with disabilities, who could communicate verbally without any apparent cognitive impairment. Data was collected by interviewing participants using structured questionnaire on following sections: Demographic characteristics, Mini-Mental State Examination (MMSE), Washington Group Short Set (WG-SS), Barthel Index of activities of daily living (ADL), Lawton Instrumental ADL (IADL) Scale, and Geriatric Depression Scale-30 (GDS-30). Multivariate linear regression analysis applied to identify variables significantly correlated with depression. Multinomial logistic regression analysis performed to obtain the odds ratio (OR).

resultsStudy included 115 elderly persons with disabilities. Most of them had mobility impairment. Higher independence in ADL and being married were related with lower risk of depression, whereas increased age at disability increased the risk of depression (

conclusionIndependence in the ADL, being married, and being disabled as a young adult are negative predictors of depression in the elderly with disability.

Indexed as

Activities of daily livingdepressiondisabilityelderlymarital status

Identifiers

PMID37675206
PMCPMC10479030
OpenAlexW4385559010

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.