Evidence map›Paper›PMID 35820882›Full record

ArticleBMC public health2022

Adaptation of diabetes prevention program for Chinese Americans - a qualitative study.

Ming-Chin Yeh, Wincy Lau, Siqian Chen, Ada Wong, Ho-Jui Tung, Grace X Ma, Judith Wylie-Rosett

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

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  5. 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

7 authors at 6 institutions in 1 country.

Ming-Chin YehNutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, USA. myeh@hunter.cuny.edu.
Wincy LauNutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, USA.
Siqian ChenNutrition Program, School of Urban Public Health, Hunter College, City University of New York, New York, NY, USA.
Ada WongChinese Community Partnership for Health, New York Presbyterian-Lower Manhattan Hospital, New York, NY, USA.
Ho-Jui TungDepartment of Health Policy and Community Health, Jiann-Ping Hsu College of Public Health, Georgia Southern University, Statesboro, GA, USA.
Grace X MaCenter for Asian Health, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, USA.
Judith Wylie-RosettDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
City University of New York · USAlbert Einstein College of Medicine · USCommunity Partners · USGeorgia Southern University · USHunter College · USTemple University · US

Funding

Translational Research CoreP30DK020541 · NIDDK · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI Shuibing Chen · 2015 to 2026
$27.7M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221704 · NCI · HUNTER COLLEGE · PI Sarah Jane Dodd · 2018 to 2026
$10.6M
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
Diabetes Prevention in Chinese Americans: Online Adaptation of Diabetes Prevention ProgramSC3GM131949 · NIGMS · HUNTER COLLEGE · PI YEH, MING-CHIN · 2019 to 2022
$468k
NCI NIH HHS U54 CA221704NIDDK NIH HHS P30 DK020541NIDDK NIH HHS P30 DK111022NIGMS NIH HHS SC3 GM131949
6 · The paper itself

Abstract

backgroundStudies have demonstrated that a culturally and linguistically tailored Diabetes Prevention Program (DPP) can be effective in reducing diabetes risk in Chinese Americans. The purpose of this study was to explore the cultural and linguistic acceptability of the Centers for Disease Control and Prevention's Prevent T2 curriculum in an online format in the Chinese American community in New York City (NYC).

methodsThree focus groups among a total of 24 Chinese Americans with prediabetes and one community advisory board (CAB) meeting with 10 key stakeholders with expertise in diabetes care and lifestyle interventions were conducted. Each focus group lasted approximately 1 to 1.5 h. All groups were moderated by a bilingual moderator in Chinese. The sessions were audiotaped, transcribed and translated to English for analysis. Using Atlas.ti software and open coding techniques, two researchers analyzed transcripts for thematic analysis.

resultsFive key themes were identified: barriers to behavioral changes, feedback on curriculum content and suggestions, web-based intervention acceptability, web-based intervention feasibility, and web-based intervention implementation and modifications. Participants with prediabetes were found to have high acceptability of web-based DPP interventions. Suggestions for the curriculum included incorporating Chinese American cultural foods and replacing photos of non-Asians with photos of Asians. Barriers included lack of access to the internet, different learning styles and low technology self-efficacy for older adults.

conclusionAlthough the acceptability of web-based DPP in the Chinese American community in NYC is high, our focus group findings indicated that the major concern is lack of internet access and technical support. Providing support, such as creating an orientation manual for easy online program access for future participants, is important.

Indexed as

Diabetes Mellitus, Type 2Prediabetic StateAgedAsianHumansLife StyleQualitative ResearchChinese AmericansCultural and linguistic adaptationFocus groupsLifestyle interventionQualitative studyWeb-based diabetes prevention program

Identifiers

PMID35820882
PMCPMC9274623
OpenAlexW4285095113

What Socratic 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 Socratic graph.