Evidence map›Paper›PMID 35107426›Full record

ArticleJMIR aging2022

Mobile Device Ownership, Current Use, and Interest in Mobile Health Interventions Among Low-Income Older Chinese Immigrants With Type 2 Diabetes: Cross-sectional Survey Study.

Lu Hu, Chau Trinh-Shevrin, Nadia Islam, Bei Wu, Shimin Cao, Jincong Freeman, Mary Ann Sevick

Open access · goldAbstract read
In one paragraph

Article in JMIR aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Trial
  2. Review
  3. The Role of Technology Use in the Context of Social Isolation Among Immigrant Older Adults.The Canadian journal of nursing research = Revue canadienne de recherche en sciences infirmieres · 2025
    Review
  4. Article
  5. Article
  6. Article
  7. Diabetes Distress and Associated Factors Among Chinese Americans with Type 2 Diabetes in New York City.Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    Article
  8. Online Health Information-Seeking Behaviours and eHealth Literacy among First-Generation Chinese Immigrants.International journal of environmental research and public health · 2023
    Article
  9. Article
  10. Article
  11. 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

7 authors at 3 institutions in 1 country.

Lu HuCenter for Healthful Behavior Change, 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/0000-0003-1046-9614
Chau Trinh-ShevrinDepartment of Population Health, New York University Grossman School of Medicine, New York University Langone Health, New York, NY, United States.ORCID https://orcid.org/0000-0001-9635-0512
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
Bei WuRory Meyers College of Nursing, New York University, New York, NY, United States.ORCID https://orcid.org/0000-0002-6891-244X
Shimin CaoCharles B Wang Community Health Center, New York, NY, United States.ORCID https://orcid.org/0000-0002-1639-2550
Jincong FreemanMilken Institute School of Public Health, George Washington University, Washington, DC, United States.ORCID https://orcid.org/0000-0002-1119-2146
Mary Ann SevickCenter for Healthful Behavior Change, 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/0000-0002-5482-7535
New York University · USCommunity Health Center · USMilken Institute · US

Funding

Scaling Community-Clinical Linkage Models to Address Diabetes and Hypertension Disparities in the Southeastern U.S.U54MD000538 · NIMHD · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI KWON, SIMONA, TRINH-SHEVRIN, CHAU · 2017 to 2022
$11.3M
New York Regional Center for Diabetes Translation Research - Translational Intervention Methodology CoreP30DK111022 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI JEFFREY GONZALEZ · 2016 to 2026
$7.8M
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
NIDDK NIH HHS P30 DK111022NIMHD NIH HHS K99 MD012811NIMHD NIH HHS R00 MD012811NIMHD NIH HHS U54 MD000538
6 · The paper itself

Abstract

backgroundChinese immigrants suffer a disproportionately high type 2 diabetes (T2D) burden and tend to have poorly controlled disease. Mobile health (mHealth) interventions have been shown to increase access to care and improve chronic disease management in minority populations. However, such interventions have not been developed for or tested in Chinese immigrants with T2D.

objectiveThis study aims to examine mobile device ownership, current use, and interest in mHealth interventions among Chinese immigrants with T2D.

methodsIn a cross-sectional survey, Chinese immigrants with T2D were recruited from Chinese community centers in New York City. Sociodemographic characteristics, mobile device ownership, current use of social media software applications, current use of technology for health-related purposes, and interest in using mHealth for T2D management were assessed. Surveys were administered face-to-face by bilingual study staff in the participant's preferred language. Descriptive statistics were used to characterize the study sample and summarize technology use.

resultsThe sample (N=91) was predominantly female (n=57, 63%), married (n=68, 75%), and had a high school education or less (n=58, 64%); most participants had an annual household income of less than US $25,000 (n=63, 69%) and had limited English proficiency (n=78, 86%). The sample had a mean age of 70 (SD 11) years. Almost all (90/91, 99%) participants had a mobile device (eg, basic cell phones, smart devices), and the majority (n=83, 91%) reported owning a smart device (eg, smartphone or tablet). WeChat was the most commonly used social media platform (65/91, 71%). When asked about their top source for diabetes-related information, 63 of the 91 participants (69%) reported health care providers, followed by 13 who reported the internet (14%), and 10 who reported family, friends, and coworkers (11%). Less than one-quarter (21/91, 23%) of the sample reported using the internet to search for diabetes-related information in the past 12 months. About one-third of the sample (34/91, 37%) reported that they had watched a health-related video on their cell phone or computer in the past 12 months. The majority (69/91, 76%) of participants reported interest in receiving an mHealth intervention in the future to help with T2D management.

conclusionsDespite high mobile device ownership, the current use of technology for health-related issues remained low in older Chinese immigrants with T2D. Given the strong interest in future mHealth interventions and high levels of social media use (eg, WeChat), future studies should consider how to leverage these existing low-cost platforms and deliver tailored mHealth interventions to this fast-growing minority group.

Indexed as

Chinese immigrantsdiabeteshealth disparitiesimmigrantimmigrant healthinterventionmHealthmobile healthsmartphonetechnology usetype 2 diabetes

Identifiers

PMID35107426
PMCPMC9135111
OpenAlexW4205520191

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.