Evidence map›Paper›PMID 36819668›Full record

ArticlePreventive medicine reports2023

Effects of COVID-19 shelter-in-place confinement on diabetes prevention health behaviors among US adults with prediabetes: A cross-sectional survey.

Tainayah Whitney Thomas, Rebecca Lindsey, Maher Yassin, Luis A Rodriguez, Michele Heisler, Julie A Schmittdiel

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Preventive medicine reports, 2023. 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
1.3field-weighted citation impact, top 20% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  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

6 authors at 4 institutions in 1 country.

Tainayah Whitney ThomasStanford University, School of Medicine, Department of Epidemiology and Population Health, Stanford, CA, United States.
Rebecca LindseyUniversity of Michigan Medical School, Department of Internal Medicine, Ann Arbor, MI, United States.
Maher YassinKaiser Permanente Northern California, Division of Research, Oakland, CA, United States.
Luis A RodriguezKaiser Permanente Northern California, Division of Research, Oakland, CA, United States.
Michele HeislerUniversity of Michigan Medical School, Department of Internal Medicine, Ann Arbor, MI, United States.
Julie A SchmittdielKaiser Permanente Northern California, Division of Research, Oakland, CA, United States.
Kaiser Permanente · USStanford University · USUniversity of Michigan–Ann Arbor · USVA Center for Clinical Management Research · US

Funding

Research BaseP30DK092926 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARY ELLEN MICHELE HEISLER, ADESUWA B OLOMU · 2011 to 2026
$10.0M
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
Using Peer Support To Aid in PRevention and Treatment in Prediabetes (UPSTART)R18DK113403 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI HEISLER, MARY ELLEN MICHELE, SCHMITTDIEL, JULIE A · 2017 to 2021
$3.3M
T32 Training Program in Diabetes Translational ResearchT32DK116684 · NIDDK · KAISER FOUNDATION RESEARCH INSTITUTE · PI GRANT, RICHARD W, SCHMITTDIEL, JULIE A · 2018 to 2022
$714k
NIDDK NIH HHS P30 DK092924NIDDK NIH HHS P30 DK092926NIDDK NIH HHS R18 DK113403NIDDK NIH HHS T32 DK116684
6 · The paper itself

Abstract

The

Indexed as

Behavior changeCOVID-19Diabetes preventionHealth promotionPrediabetes

Identifiers

PMID36819668
PMCPMC9922670
OpenAlexW4320497992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.