Evidence map›Paper›PMID 39529897›Full record

ArticleObesity science & practice2024

A Novel and Comprehensive Wellness Assessment for Lifestyle-Based Interventions.

Katie M Ellison, Kimberly A Smith, José R Fernández, Eric P Plaisance, Tsz Kiu Chui, James O Hill, Holly R Wyatt, R Drew Sayer

Abstract read
In one paragraph

Article in Obesity science & practice, 2024. 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
–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

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.

Katie M EllisonDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.ORCID https://orcid.org/0000-0003-2141-2592
Kimberly A SmithDepartment of Family and Community Medicine University of Alabama at Birmingham Birmingham Alabama USA.ORCID https://orcid.org/0000-0002-6519-1704
José R FernándezDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.
Eric P PlaisanceDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.
Tsz Kiu ChuiDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.ORCID https://orcid.org/0000-0002-1979-7991
James O HillDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.ORCID https://orcid.org/0000-0003-4690-2264
Holly R WyattDepartment of Nutrition Sciences University of Alabama at Birmingham Birmingham Alabama USA.
R Drew SayerDepartment of Family and Community Medicine University of Alabama at Birmingham Birmingham Alabama USA.ORCID https://orcid.org/0000-0002-9488-7030

Funding

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 James O Hill · 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
Effects of a higher protein diet and resistance training on fat free mass retention during weight loss in adults over 50: A Pilot Sequential Multiple Assignment Randomized TrialK01DK124244 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI SAYER, RICHARD DREW · 2021 to 2025
$648k
NIDDK NIH HHS K01 DK124244NIDDK NIH HHS P30 DK056336NIDDK NIH HHS T32 DK062710
6 · The paper itself

Abstract

Objective: While weight status and clinical laboratory measures are important in assessing obesity-related disease severity and chronic disease risk, including a broader range of emotional, psychosocial, and behavioral factors would provide greater context of an individual's overall state of wellness and could be used to better guide treatment decisions. The purpose of this research was to develop a comprehensive Lifestyle Wellness assessment for use in lifestyle-based wellness interventions and programs. Methods: A cross-sectional exploratory factor analysis (EFA) was conducted using baseline data from Results: Mean body mass index (BMI) was 38.0 ± 6.6 kg/m Conclusions: Lifestyle Wellness is a comprehensive assessment that enables innovative wellness-related research such as metabolically healthy obese phenotypes and weight-neutral interventions. Future research should include investigations in additional populations with greater age, sex/gender, and body size diversity.

Indexed as

assessmentobesityprimary carewellness

Identifiers

PMID39529897
PMCPMC11553003

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.