Evidence map›Paper›PMID 38954806›Full record

ArticleJMIR formative research2024

Characterizing Mental Health Status and Service Utilization in Chinese Americans With Type 2 Diabetes in New York City: Cross-Sectional Study.

Yun Shi, Bei Wu, Nadia Islam, Mary Ann Sevick, Amanda J Shallcross, Natalie Levy, Kosuke Tamura, Han Bao, Ricki Lieu, Xinyi Xu and 2 more

Abstract read
In one paragraph

Article in JMIR formative research, 2024. 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
–field-weighted citation impact
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.

  1. Review
  2. 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

12 authors.

Yun Shi *Department of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-1936-072X
Bei WuNew York University Rory Meyers College of Nursing, New York, NY, United States.ORCID https://orcid.org/0000-0002-6891-244X
Nadia IslamDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-1470-2073
Mary Ann SevickDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0002-5482-7535
Amanda J ShallcrossDepartment of Wellness and Preventive Medicine, Cleveland Clinic, Cleveland, OH, United States.ORCID https://orcid.org/0000-0003-3166-8786
Natalie LevyDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0003-2956-5876
Kosuke TamuraSocio-Spatial Determinants of Health Laboratory, Population and Community Health Sciences Branch, Division of Intramural Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, United States.ORCID https://orcid.org/0000-0002-4920-2856
Han BaoJacobi Medical Center, Bronx, NY, United States.ORCID https://orcid.org/0009-0007-1626-0615
Ricki LieuDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-7813-1068
Xinyi XuDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0009-0007-8758-1360
Yulin JiangDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0009-0000-5323-6330
Lu HuDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-6465-6779

Funding

A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansR00MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2020 to 2022
$737k
A Mobile Health Intervention to Reduce Diabetes Disparities in Chinese AmericansK99MD012811 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI HU, LU · 2018 to 2019
$207k
NIMHD NIH HHS K99 MD012811NIMHD NIH HHS R00 MD012811
6 · The paper itself

Abstract

backgroundEmerging evidence indicates that individuals with type 2 diabetes (T2D) are more prone to mental health issues than the general population; however, there is a significant lack of data concerning the mental health burden in Chinese Americans with T2D.

objectiveThe aim of this study was to explore the comorbid mental health status, health-seeking behaviors, and mental service utilization among Chinese Americans with T2D.

methodsA cross-sectional telephone survey was performed among 74 Chinese Americans with T2D in New York City. We used standardized questionnaires to assess mental health status and to gather data on mental health-seeking behaviors and service utilization. Descriptive statistics were applied for data analysis.

resultsA total of 74 Chinese Americans with T2D completed the survey. Most participants (mean age 56, SD 10 years) identified as female (42/74, 57%), were born outside the United States (73/74, 99%), and had limited English proficiency (71/74, 96%). Despite nearly half of the participants (34/74, 46%) reporting at least one mental health concern (elevated stress, depressive symptoms, and/or anxiety), only 3% (2/74) were currently using mental health services. Common reasons for not seeking care included no perceived need, lack of information about Chinese-speaking providers, cost, and time constraints. The cultural and language competence of the provider was ranked as the top factor related to seeking mental health care.

conclusionsChinese Americans with T2D experience relatively high comorbid mental health concerns yet have low service utilization. Clinicians may consider team-based care to incorporate mental health screening and identify strategies to provide culturally and linguistically concordant mental health services to engage Chinese Americans with T2D.

Indexed as

anxietyChinese Americancross-sectionaldepressiondepressive symptomsdiabetesdiabetes distressmental healthmental health burdenmental health caremental health screeningpsychological distressservice utilizationstresstelephone surveytype 2 diabetesUnited States

Identifiers

PMID38954806
PMCPMC11252619

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.