Evidence map›Paper›PMID 26291598›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2016

Genetic causal attributions for weight status and weight loss during a behavioral weight gain prevention intervention.

Megan A McVay, Dori M Steinberg, Sandy Askew, Kimberly A Kaphingst, Gary G Bennett

Abstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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

5 authors.

Megan A McVayCenter for Health Services Research, Durham VA Medical Center, Durham, North Carolina, USA.ORCID 0000-0002-2583-4277
Dori M SteinbergDuke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Sandy AskewDuke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, North Carolina, USA.
Kimberly A KaphingstDepartment of Communication, The University of Utah, Salt Lake City, Utah, USA.
Gary G BennettDuke Global Digital Health Science Center, Duke Global Health Institute, Duke University, Durham, North Carolina, USA.

Funding

Community Based Obesity Prevention Among Black WomenR01DK078798 · NIDDK · DUKE UNIVERSITY · PI BENNETT, GARY G · 2008 to 2012
$3.0M
Increasing uptake of behavioral weight loss programs among primary care patientsK23HL127334 · NHLBI · UNIVERSITY OF FLORIDA · PI MCVAY, MEGAN APPERSON · 2015 to 2019
$805k
NHLBI NIH HHS K23 HL127334NIDDK NIH HHS R01 DK078798
6 · The paper itself

Abstract

purposeEmerging evidence suggests that attributing one's weight to genetics may contribute to the adoption of obesogenic behaviors. We investigated whether weight-related genetic attributions were associated with weight change during a weight gain prevention intervention.

methodsParticipants (n = 185) were from a randomized clinical trial of a digital health weight gain prevention intervention for black women ages 25-44 years with body mass index 25.0-34.9 kg/m(2). Weight-related genetic attributions (weight status attribution and weight loss attributions) were measured at baseline and 12 months.

resultsAmong intervention participants, high genetic attribution for weight loss was associated with greater weight loss at 12 months (-2.7 vs. 0.5 kg) and 18 months (-3.0 vs. 0.9 kg). Among usual-care participants, high genetic attribution for weight status was associated with greater 18-month weight gain (2.9 vs. 0.3 kg). The intervention reduced the likelihood of high genetic attribution for weight loss at 12 months (P = 0.05). Change in the likelihood of genetic attribution was not associated with weight change over 12 months.

conclusionImpact of genetic attributions on weight differs for those enrolled and not enrolled in an intervention. However, weight gain prevention intervention may reduce genetic attribution for weight loss.Genet Med 18 5, 476-482.

Indexed as

Behavior TherapyAdultBlack or African AmericanBody Mass IndexFemaleHumansObesityWeight GainWeight Loss

Identifiers

PMID26291598
PMCPMC4761333

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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.