Trial reportDiabetologia2015

The impact of lifestyle intervention on sedentary time in individuals at high risk of diabetes.

Bonny Rockette-Wagner, Sharon Edelstein, Elizabeth M Venditti, Deepti Reddy, George A Bray, Mary Lou Carrion-Petersen, Dana Dabelea, Linda M Delahanty, Hermes Florez, Paul W Franks and 4 more

Registry-linked trialAbstract readMulticenter StudyRandomized Controlled Trial
In one paragraph

Trial report in Diabetologia, 2015. The graph read 1 number from its abstract, feeding 1 cell of the map, but it casts no vote: the report of the main result of NCT00004992 is not on the map. It reports registered trial NCT00004992. Cited by 19 papers, 2 of them syntheses that pooled it.

1number the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
–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.

Read, but not usablea number the graph found but could not read as for or against

Risk of developing diabetesincreased television watching (per hour) vs baseline television watchingan association or prognostic statement, not a treatment comparison · t2dfeeds one cell of the map
RR 3.40< 0.01
Combining all participants together, there was a significantly increased risk of developing diabetes with increased television watching (3.4% per hour spent watching television), after controlling for age, sex, treatment arm and leisure physical activity (p < 0.01), which was attenuated when time-dependent weight was added to the model.

The authors add: which was attenuated when time-dependent weight was added to the model

clause the extractor read what became the number

2 · Its place on the map

Where it lands on the map

Rows are treatments, columns are outcomes. The coloured squares are the cells this paper feeds, coloured by the vote it casts there. Click one to jump to what this paper adds to it.

supports the treatmentfavours the comparatorno clear differenceread, but no usable result
3 · What it changes

What it adds to each cell

For every cell the paper feeds: the belief in the claim with and without this paper, and this paper's estimate drawn against every other readable study in the cell. The ringed dot is this paper.

Diet, exercise & lifestyle×quality of life & behaviour

No readable resultOpen on the map →What to test next →

No other readable study in this cell yet. This paper is the evidence.

Belief with this paperNo claim has been compiled for this cell yet.
4 · 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.

NCT00004992 phase3completed

Diabetes Prevention Program

Ran1996Enrolled3,234Registered outcomes1Posted comparisons0ConditionsDiabetes Mellitus, Non-Insulin-Dependent, Glucose IntoleranceArmsIntensive lifestyle, Metformin, Placebo
PMID 11832527PMID 16855264other papers from this trial
Open the trial in the graph
5 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Associations Between Serum Folate Level and HOMA-IR in Chinese Patients with Type 2 Diabetes Mellitus.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Prevalence and Determinants of Gestational Diabetes Mellitus: A Cross-Sectional Study in China.International journal of environmental research and public health · 2017
    Article
  16. Review
  17. Article
  18. Article
  19. Review
6 · The record

Corrections and comments

7 · Who and what money

Authors and funding

14 authors.

Bonny Rockette-WagnerDepartment of Epidemiology, University of Pittsburgh, Pittsburgh, PA, USA.
Sharon Edelstein
Elizabeth M Venditti
Deepti Reddy
George A Bray
Mary Lou Carrion-Petersen
Dana Dabelea
Linda M Delahanty
Hermes Florez
Paul W Franks
Maria G Montez
Richard Rubin
Andrea M Kriska
Diabetes Prevention Program Research Group

Funding

PRIMARY PREVENTION TRIAL--DATA COORDINATING CENTERU01DK048489 · NIDDK · GEORGE WASHINGTON UNIVERSITY · PI JABLONSKI, KATHLEEN ANN, TEMPROSA, MARINELLA · 1994 to 2021
$84.8M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Julie Mathieu · 1986 to 2026
$41.4M
Post-DDP Follow-up StudyU01DK048413 · NIDDK · UNIVERSITY OF WASHINGTON · PI KAHN, STEVEN EMANUEL · 1994 to 2021
$13.7M
PRIMARY PREVENTION TRIAL (DPT-2)U01DK048397 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI NATHAN, DAVID M · 1994 to 2021
$12.0M
NIDDM PRIMARY PREVENTION TRIAL (DPT 2)U01DK048404 · NIDDK · ST. LUKE'S-ROOSEVELT INST FOR HLTH SCIS · PI LAFERRERE, BLANDINE B · 1994 to 2021
$11.6M
PRIMARY PREVENTION TRIAL (DPT-2)U01DK048339 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ARANETA, MARIA ROSARIO GORREZ, MUDALIAR, SUNDER · 1994 to 2022
$11.4M
NIDDM PRIMARY PREVENTION TRIALU01DK048412 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI VENDITTI, ELIZABETH MARY · 1994 to 2021
$11.4M
PRIMARY PREVENTION TRIALU01DK048387 · NIDDK · MEDSTAR RESEARCH INSTITUTE · PI MAGEE, MICHELLE FISCHMANN · 1994 to 2022
$11.1M
TITLE OMITTEDU01DK048349 · NIDDK · YESHIVA UNIVERSITY · PI CRANDALL, JILL P · 1994 to 2021
$11.0M
PRIMARY PREVENTION TRIALU01DK048443 · NIDDK · UNIVERSITY OF SOUTHERN CALIFORNIA · PI WATSON, KAROL E · 1994 to 2021
$10.2M
Post-DPP Follow-up StudyU01DK048375 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DABELEA, DANA · 1994 to 2022
$10.0M
Post-Diabetes Prevention Program (DPP)U01DK048381 · NIDDK · UNIVERSITY OF CHICAGO · PI EHRMANN, DAVID A · 1994 to 2021
$9.6M
Intramural NIH HHSNIDDK NIH HHS P30 DK017047NIDDK NIH HHS R01 DK078907NIDDK NIH HHS U01 DK048339NIDDK NIH HHS U01 DK048349NIDDK NIH HHS U01 DK048375NIDDK NIH HHS U01 DK048377NIDDK NIH HHS U01 DK048380NIDDK NIH HHS U01 DK048381NIDDK NIH HHS U01 DK048387NIDDK NIH HHS U01 DK048397NIDDK NIH HHS U01 DK048400NIDDK NIH HHS U01 DK048404NIDDK NIH HHS U01 DK048406NIDDK NIH HHS U01 DK048407NIDDK NIH HHS U01 DK048412NIDDK NIH HHS U01 DK048413NIDDK NIH HHS U01 DK048434NIDDK NIH HHS U01 DK048437NIDDK NIH HHS U01 DK048443NIDDK NIH HHS U01 DK048468NIDDK NIH HHS U01 DK048485NIDDK NIH HHS U01 DK048489NIDDK NIH HHS U01 DK048514
8 · The paper itself

Abstract

The marked sentences are the ones the graph read a number from.

aims/hypothesisThe Diabetes Prevention Program (DPP) lifestyle intervention successfully achieved its goal of increasing leisure physical activity levels. This current study examines whether the lifestyle intervention also changed time spent being sedentary and the impact of sedentary time on diabetes development in this cohort.

methods3,232 DPP participants provided baseline data. Sedentary behaviour was assessed via an interviewer-administered questionnaire and reported as time spent watching television specifically (or combined with sitting at work). Mean change in sedentary time was examined using repeated measures ANCOVA. The relationship between sedentary time and diabetes incidence was determined using Cox proportional hazards models.

resultsDuring the DPP follow-up (mean: 3.2 years), sedentary time declined more in the lifestyle than the metformin or placebo participants (p < 0.05). For the lifestyle group, the decrease in reported mean television watching time (22 [95% CI 26, 17] min/day) was greater than in the metformin or placebo groups (p < 0.001). Combining all participants together, there was a significantly increased risk of developing diabetes with increased television watching (3.4% per hour spent watching television), after controlling for age, sex, treatment arm and leisure physical activity (p < 0.01), which was attenuated when time-dependent weight was added to the model. CONCLUSIONS/

interpretationIn the DPP, the lifestyle intervention was effective at reducing sedentary time, which was not a primary goal. In addition, in all treatment arms, individuals with lower levels of sedentary time had a lower risk of developing diabetes. Future lifestyle intervention programmes should emphasise reducing television watching and other sedentary behaviours in addition to increasing physical activity.

trial registrationClinicalTrials.gov NCT00004992.

Indexed as

Sedentary BehaviorAdultDiabetes Mellitus, Type 2FemaleFollow-Up StudiesHumansIncidenceLife StyleMaleMetforminMiddle AgedMotor ActivityProportional Hazards ModelsSurveys and QuestionnairesTelevisionMetformin

Identifiers

PMID25851102
PMCPMC4417075

What OpenQuestion holds

Texttitle and abstract
LicenceTDM
Read underepoch 390

Registered trials

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.