Evidence map›Paper›PMID 36901063›Full record

ArticleInternational journal of environmental research and public health2023

Prevalence of and Factors Associated with Depressive Symptoms among Indonesian Migrant Workers in Taiwan.

Yuni Asri, Kun-Yang Chuang

Open access · goldFull text read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

2 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Yuni AsriSchool of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan.ORCID 0000-0001-7829-6495
Kun-Yang ChuangSchool of Public Health, Taipei Medical University, 250 Wu-Hsing Street, Taipei 11031, Taiwan.
Taipei Medical University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

International migrant workers contribute significantly to the economic growth of the receiving country, and yet their health, especially their mental health, has long been overlooked. The purpose of this study was to identify the factors associated with depressive symptoms among Indonesian migrant workers in Taiwan. This study used cross-sectional data from 1031 Indonesian migrant workers in Taiwan. Demographic, health, and living- and work-related variables, as well as depressive symptom variables assessed using the Center for Epidemiological Study on depressive symptoms scale, were collected. Logistic regression analysis was used to identify related factors. About 15% of the Indonesian migrant workers had depressive symptoms. The significant factors associated with these symptoms were age, educational level, frequency of contact with families, self-rated health, time spent in Taiwan, region of work, satisfaction with the living environment, and freedom to go out after work. The findings thus identify target groups who are more likely than others to suffer from depressive symptoms, and we suggest appropriate approaches for devising interventions to reduce depressive symptoms. The findings of this research suggest the need for targeted approaches to reducing depressive symptoms among this population group.

Indexed as

DepressionTransients and MigrantsCross-Sectional StudiesHumansIndonesiaPrevalenceTaiwandepressive symptomsIndonesianmental healthmigrant workersTaiwan

Identifiers

PMID36901063
PMCPMC10001592
OpenAlexW4321787066

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read26
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.