Evidence map›Paper›PMID 41356354›Full record

ArticleResearch square2025

Higher Protein Intakes Predict Leaner Body Composition in Weight-Loss Participants-Findings from the International Weight Control Registry.

R Sayer, Tsz Kiu Chui, Lauren Fowler, Katie Ellison, Christopher Coleman, Satya Jonnalagadda, James Friedman, Susan Roberts, James Hill, Sai Krupa Das

Abstract readPreprint
In one paragraph

Article in Research square, 2025. 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. Review
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

10 authors.

R SayerUniversity of Alabama at Birmingham.
Tsz Kiu ChuiUniversity of Alabama at Birmingham.ORCID 0000-0002-1979-7991
Lauren FowlerUniversity of Alabama at Birmingham.
Katie EllisonUniversity of Alabama at Birmingham.
Christopher ColemanMedifast Inc.
Satya JonnalagaddaMedifast Inc.
James FriedmanUniversity of Alabama at Birmingham.
Susan RobertsDartmouth.ORCID 0000-0003-1320-8460
James HillUniversity of Alabama at Birmingham.
Sai Krupa DasJean Mayer USDA, Human Nutrition Research Center on Aging at Tufts University.ORCID 0000-0003-0788-0461

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
Why is the prevalence of obesity so high in U.S. Southern States? Regional predictors of BMI and obesity treatment response.P30DK056336 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI BARBARA A GOWER · 2000 to 2026
$31.9M
UAB Obesity Training ProgramT32DK062710 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI James O Hill, Brooks C Wingo · 2004 to 2026
$5.5M
NIDDK NIH HHS P30 DK048520NIDDK NIH HHS P30 DK056336NIDDK NIH HHS T32 DK062710
6 · The paper itself

Abstract

Background: A high protein diet combined with exercise is often recommended to promote fat loss and preserve muscle mass during weight loss. This secondary analysis evaluated the associations between dietary protein intake, physical activity, and body weight and composition among individuals engaged in purposeful weight loss attempts. Methods: This study included participants (n = 203) in a three-week ancillary study of the International Weight Control Registry, enrolled between August 2022 and January 2023. Average protein intake (g/kg body weight/d) was estimated from three 24-hour, multi-pass dietary recalls. Body weight, percent body fat (% BF), percent muscle mass (% muscle), and physical activity were monitored using study-provided consumer-grade devices. Multiple linear regression models were used to evaluate associations between protein intake and daily steps and their interaction with body mass index (BMI), % BF, and % muscle. Results: Total protein intake negatively predicted BMI (β [95% CI]=-0.51 [-0.62, -0.39], p < 0.001), % BF (β [95% CI]=-0.37 [-0.49, -0.26], p < 0.001), and positively predicted % muscle (β [95% CI] = 0.26 [0.20, 0.33], p < 0.001). Similarly, average daily steps negatively predicted BMI (β [95% CI]=-0.29 [-0.40, -0.17], p < 0.001), % BF (β [95% CI]=-0.23 [-0.35, -0.12], p < 0.001), and positively predicted % muscle (β [95% CI] = 0.14 [0.08, 0.21], p < 0.001). Total protein intake was significantly associated with BMI across all physical activity levels, with the strongest associations observed at 5,000 steps/day and weakening as the average daily steps increased. Conclusions: Findings broadly support the significance of high protein intake in achieving a lower body weight and a more favorable body composition (i.e., lower % BF and higher % muscle) for individuals previously engaged in weight loss. Additionally, people who are less physically active may require higher protein intake to maintain a lower body weight.

Identifiers

PMID41356354
PMCPMC12676439

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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.