Evidence map›Paper›PMID 32246292›Full record

ArticleJournal of behavioral medicine2020

Physical discomfort intolerance as a predictor of weight loss and physical activity in a lifestyle modification program.

Mary K Martinelli, Kathryn M Godfrey, Monica Martinez, Evan M Forman, Meghan L Butryn

Abstract read
In one paragraph

Article in Journal of behavioral medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

5 authors.

Mary K MartinelliDepartment of Psychology, Drexel University, 3141 Chestnut St., Stratton Hall 119, Philadelphia, PA, 19104, USA. mkm339@drexel.edu.
Kathryn M GodfreyDepartment of Psychology, Drexel University, 3141 Chestnut St., Stratton Hall 119, Philadelphia, PA, 19104, USA.
Monica MartinezDepartment of Psychology, Drexel University, 3141 Chestnut St., Stratton Hall 119, Philadelphia, PA, 19104, USA.
Evan M FormanDepartment of Psychology, Drexel University, 3141 Chestnut St., Stratton Hall 119, Philadelphia, PA, 19104, USA.
Meghan L ButrynDepartment of Psychology, Drexel University, 3141 Chestnut St., Stratton Hall 119, Philadelphia, PA, 19104, USA.

Funding

An innovative, physical activity-focused approach to weight loss maintenanceR01DK100345 · NIDDK · DREXEL UNIVERSITY · PI BUTRYN, MEGHAN · 2014 to 2018
$2.5M
NIDDK NIH HHS R01 DK100345
6 · The paper itself

Abstract

This study examined physical discomfort intolerance (DI) as a baseline predictor of weight loss and physical activity outcomes, and assessed whether changes in DI during the initial phase of weight loss prospectively predicted long-term treatment outcomes among adults enrolled in a group-based lifestyle modification program for obesity. DI was measured at baseline and 6 months, and weight and accelerometer-measured physical activity were assessed at baseline, 6 months, and 12 months. Baseline DI was not related to weight loss or physical activity at either timepoint. Change in DI during the first 6 months of treatment was not related to concurrent (i.e., 6-month) weight loss and physical activity, but was significantly predictive of weight loss and physical activity at 12 months. Assessing early changes in DI may help to identify individuals at risk for suboptimal outcomes. Future research should evaluate behavioral weight loss interventions designed to target DI.

Indexed as

Life StyleWeight LossAdultBehavior TherapyExerciseHumansObesityDiscomfort intoleranceObesityPhysical activityTreatmentWeight loss

Identifiers

PMID32246292
PMCPMC8608002

What OpenQuestion holds

Textmetadata
LicenceTDM
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.