Evidence map›Paper›PMID 32463786›Full record

Trial reportPreventing chronic disease2020

Comparative Effectiveness of 2 Diabetes Prevention Lifestyle Programs in the Workplace: The City and County of San Francisco Diabetes Prevention Trial.

Assiamira Ferrara, Julia C McDonald, Susan D Brown, Janet G Alexander, Jennifer L Christian-Herman, Stephanie Fisher, Charles P Quesenberry

Open access · diamondAbstract readComparative StudyRandomized Controlled Trial
In one paragraph

Trial report in Preventing chronic disease, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 pooled it
1.1field-weighted citation impact, top 17% 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, 2 syntheses or guidelines pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Digital versus nondigital behavioral interventions on cardiovascular risk reduction: systematic review and meta-analysis.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2025
    Pooled it
  3. Article
  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

7 authors at 3 institutions in 1 country.

Assiamira FerraraDivision of Research, Kaiser Permanente Northern California, 2000 Broadway, Oakland, CA 94612. Email: assiamira.ferrara@kp.org.
Julia C McDonaldDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Susan D BrownDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Janet G AlexanderDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Jennifer L Christian-HermanKaiser Foundation Health Plan, Oakland, California.
Stephanie FisherSan Francisco Health Service System, San Francisco, California.
Charles P QuesenberryDivision of Research, Kaiser Permanente Northern California, Oakland, California.
Kaiser Permanente · USKaiser Foundation Hospital · USSan Francisco VA Health Care System · US

Funding

Translational Research Core - Health Engagement & Action Translational (HEAT)P30DK092924 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI Alyce Sophia Adams, HILARY Kessler SELIGMAN · 2011 to 2026
$9.2M
Engaging At-Risk Minority Women in Health System Diabetes Prevention ProgramsK01DK099404 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI BROWN, SUSAN DENISE · 2014 to 2017
$643k
NIDDK NIH HHS K01 DK099404NIDDK NIH HHS P30 DK092924
6 · The paper itself

Abstract

introductionData on the comparative effectiveness of Diabetes Prevention Programs (DPPs) in the workplace are limited.

methodsBetween September 2015 and July 2016, employees of the City and County of San Francisco who were at risk for type 2 diabetes (N = 158) were randomly assigned to one of 2 DPP-derived programs recognized by the Centers for Disease Control and Prevention: an in-person YMCA-DPP (n = 78) or an online virtual lifestyle management DPP (VLM-DPP) offered through Canary Health (n = 80). The primary outcome was change in body weight assessed at 6 and 12 months. Follow-up ended in August 2017.

resultsBoth the YMCA-DPP and VLM-DPP yielded a significant reduction in percentage body weight at 6 months. For the YMCA-DPP, mean percentage change at 6 months was -2.70% (95% confidence interval [CI], -3.91% to -1.48%) and at 12 months was -2.46% (95% CI, -4.24% to -0.68%). For the VLM-DPP, mean percentage change at 6 months was -2.41% (95% CI, -4.07% to -0.77%) and at 12 months was -1.59% (95% CI, -3.51% to 0.33%). The mean between-condition difference at 6 months was -0.25% (95% CI, -2.04% to 1.55%) and at 12 months was -0.84% (95% CI, -3.03% to 1.34%). No significant differences were observed between conditions. The YMCA-DPP had a slightly higher reduction in waist circumference than VLM-DDP at 6 months (mean between-condition difference -2.00 cm [95% CI, -4.24 to 0.25 cm]). Participant engagement, expressed as mean number of completed core program sessions, was significantly higher for the YMCA-DPP than the VLM-DPP. Participants of the YMCA-DPP completed an average of 10.2 sessions (95% CI, 9.0 to 11.4), and participants of the VLM-DPP completed an average of 5.9 sessions (95% CI, 4.7 to 7.1). The adjusted mean between-condition difference was 4.2 sessions (95% CI, 2.54 to 5.99).

conclusionBoth the YMCA-DPP and VLM-DPP yielded weight loss at 6 months, which was maintained at 12 months in the YMCA-DPP. The workplace may be an effective setting to offer DPPs.

Indexed as

Healthy LifestyleAdultBody WeightDiabetes Mellitus, Type 2ExerciseFemaleHumansMaleMiddle AgedSan FranciscoVirtual RealityWeight Reduction ProgramsWorkplace

Identifiers

PMID32463786
PMCPMC7279062
OpenAlexW3031015439

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.