Evidence map›Paper›PMID 32221768›Full record

ArticleJournal of immigrant and minority health2020

Depressive Symptom Severity and Immigration-Related Characteristics in Asian American Immigrants.

Minsun Lee, Aisha Bhimla, Grace X Ma

Abstract read
In one paragraph

Article in Journal of immigrant and minority 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 25% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  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

3 authors at 1 institution in 1 country.

Minsun LeeLewis Katz School of Medicine, Center for Asian Health, Temple University, Philadelphia, PA, USA. tug35171@temple.edu.
Aisha BhimlaLewis Katz School of Medicine, Center for Asian Health, Temple University, Philadelphia, PA, USA.
Grace X MaLewis Katz School of Medicine, Center for Asian Health, Temple University, Philadelphia, PA, USA.
Temple University · US

Funding

TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI Joel Erblich, Jennifer S Ford · 2018 to 2026
$16.3M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221704 · NCI · HUNTER COLLEGE · PI Joel Erblich · 2018 to 2026
$10.6M
NCI NIH HHS U54 CA221704NCI NIH HHS U54 CA221704(5)NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

The study examined immigration factors associated with depressive symptom severity among Asian American immigrants. Participants were 458 Chinese, Korean and Vietnamese adults. Depressive symptom severity was measured by PHQ-9. Overall, the likelihood of being moderately to severely depressed was significantly increased among immigrants living in the US for < 10 years and Korean Americans compared to Chinese Americans. However, mild level of depressive symptoms was not associated with any immigration-related factors. The positive impact of shorter duration of living in the US and a younger age at immigration (≤ 17) on depressive symptoms was evident among women but not among men. For men, marital status and education level were significant predictors of being moderately to severely depressed. Differentiating immigrant factors and identifying depressive symptom severity can help drive community and clinical interventions to detect and treat depression early among Asian American immigrants.

Indexed as

AsianEmigrants and ImmigrantsAdultDepressionEmigration and ImmigrationFemaleHumansMaleAsian AmericansDepressionImmigrantsSymptom severity

Identifiers

PMID32221768
PMCPMC7442700
OpenAlexW3013207892

What OpenQuestion holds

Textmetadata
LicenceTDM
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.