Evidence map›Paper›PMID 25264472›Full record

ArticleTranslational behavioral medicine2014

Using response variation to develop more effective, personalized behavioral medicine?: evidence from the Resist Diabetes study.

Richard A Winett, Brenda M Davy, Jyoti Savla, Elaina L Marinik, Sheila G Winett, Mary Elizabeth Baugh, Kyle D Flack

Abstract read
In one paragraph

Article in Translational behavioral medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–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.

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

12 citing papers in PubMed.

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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.

Richard A WinettPsychology Department, Virginia Tech, Blacksburg, VA 24061 USA.
Brenda M DavyHuman Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA 24061 USA.
Jyoti SavlaCenter for Gerontology and Department of Human Development, Virginia Tech, Blacksburg, VA 24061 USA.
Elaina L MarinikHuman Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA 24061 USA.
Sheila G WinettPersonal Computer Resources, Inc., Blacksburg, VA 24060 USA.
Mary Elizabeth BaughHuman Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA 24061 USA.
Kyle D FlackHuman Nutrition, Foods, and Exercise, Virginia Tech, Blacksburg, VA 24061 USA.

Funding

Maintaining Resistance Training in Older Prediabetic Adults: Theoretical ApproachR01DK082383 · NIDDK · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DAVY, BRENDA M, WINETT, RICHARD A · 2009 to 2013
$3.1M
NIDDK NIH HHS R01 DK082383
6 · The paper itself

Abstract

Health behavior interventions have achieved some notable outcomes through generally higher dose interventions with intensive initial phases and long-term, faded contact maintenance phases with attention to mean changes and adherence rates. Interventions may be improved by shifting attention to the very large response variation that is typical for such protocols as exercise with non-, low, moderate, and high responders and even those who show adverse responses. Data from the Resist Diabetes study, which included adults (N = 159, ages 50-69 years) with prediabetes who were overweight or obese (BMI 25-39.9 kg/m(2)) and previously inactive, are presented. The data show a typical pattern of wide variation for changes on a 2-h oral glucose tolerance test (OGTT), defined by blood glucose concentration measured after 2 h following ingestion of 75 g of glucose, lean body mass, fat mass, strength, and blood pressure to the same resistance training protocol within a highly supervised phase and where adherence was high. A personalized behavioral medicine approach could focus on such individual patterns of response variation to tailor and alter additional intervention components, the staging of maintenance interventions, and then determining how to most effectively, and systematically, translate this adaptive intervention approach into practice to potentially achieve more optimal clinical outcomes.

Indexed as

Clinical outcomesHealth behavior interventionsPersonalized behavioral medicineResponse variationTailoring

Identifiers

PMID25264472
PMCPMC4167893

What OpenQuestion holds

Textmetadata
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Registered trials

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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.