Evidence map›Paper›PMID 41726778›Full record

ArticleCurrent developments in nutrition2026

Heterogeneity in Treatment Outcomes After a Multicomponent Weight Loss Intervention in Older Adults with Obesity.

Alessandro Gavras, Aylin Memili, David H Lynch, Hillary B Spangler, Summer B Cook, Todd A Mackenzie, Danae C Gross, John A Batsis

Abstract read
In one paragraph

Article in Current developments in nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Alessandro GavrasDivision of Geriatric Medicine, Department of Medicine, University of Verona, Verona, Italy.
Aylin MemiliSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
David H LynchSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Hillary B SpanglerSchool of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Summer B CookDepartment of Kinesiology, University of New Hampshire, Durham, NH, United States.
Todd A MackenzieDepartment of Data Science, Dartmouth College, Hanover, NH, United States.
Danae C GrossDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
John A BatsisDivision of Geriatric Medicine, Department of Medicine, University of Verona, Verona, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Older adults age 65+ with obesity are a growing population with marked clinical complexity, which is exacerbated by comorbid conditions as they age. Objectives: To assess clinical heterogeneity in participants in a weight loss intervention to help understanding treatment outcomes. Methods: We previously conducted a single-arm, pre/post, 24-wk, telemedicine-delivered diet and exercise intervention in older adults with obesity. Heterogeneity in treatment outcomes was evaluated between baseline and follow-up weight, 30-s sit-to-stand (30STS), 6-min walking test (6MWT), oxygen consumption at rest (resting VO Results: Of the 53 enrolled participants, 44 completed the study, but 31 had full follow-up measures. The mean ± standard deviation age was 72.9 ± 3.9 y (72.7% female). Across all participants, weight decreased from 97.8 ± 16.3 kg to 93.2 ± 15.8 kg, and BMI (in kg/m Conclusions: Although older adults can improve outcomes in weight, body mass, and waist circumference through diet and physical activity interventions, there was marked heterogeneity observed in physical function outcomes.

Indexed as

heterogeneityobesityolder adultsrural healthweight loss intervention

Identifiers

PMID41726778
PMCPMC12924193

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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.