Is the Risk Perception Attitude Framework Associated with the Accuracy of Self-Reported vs Actual Cardiometabolic Risk and Physical Activity in Young Adults with Overweight/Obesity?

Loretta DiPietro, Rajiv Rimal, Ashley H Tjaden, Caitlin P Bailey, Melissa A Napolitano

Abstract read

In one paragraph

Article in American journal of lifestyle medicine, 2025. 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

5 authors.

Loretta DiPietroDepartment of Exercise & Nutrition Sciences, Milken Institute School of Public Health,The George Washington University, Washington, DC, USA (LD, MN); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA (RR); The Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA (AT); and Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA (RR, CB, MN).

Rajiv RimalDepartment of Exercise & Nutrition Sciences, Milken Institute School of Public Health,The George Washington University, Washington, DC, USA (LD, MN); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA (RR); The Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA (AT); and Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA (RR, CB, MN).

Ashley H TjadenDepartment of Exercise & Nutrition Sciences, Milken Institute School of Public Health,The George Washington University, Washington, DC, USA (LD, MN); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA (RR); The Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA (AT); and Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA (RR, CB, MN).

Caitlin P BaileyDepartment of Exercise & Nutrition Sciences, Milken Institute School of Public Health,The George Washington University, Washington, DC, USA (LD, MN); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA (RR); The Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA (AT); and Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA (RR, CB, MN).ORCID https://orcid.org/0000-0001-6141-6673

Melissa A NapolitanoDepartment of Exercise & Nutrition Sciences, Milken Institute School of Public Health,The George Washington University, Washington, DC, USA (LD, MN); Department of Health, Behavior, and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA (RR); The Biostatistics Center, Milken Institute School of Public Health, The George Washington University, Rockville, MD, USA (AT); and Department of Prevention and Community Health, Milken Institute School of Public Health, The George Washington University, Washington, DC, USA (RR, CB, MN).ORCID https://orcid.org/0000-0003-2141-6171

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the accuracy of perceived vs actual cardiometabolic risk and physical activity within the Risk Perception Attitude Framework (RPA). We analyzed baseline data from 343 young adults (23.3 ± 4.4 years) participating in a weight management clinical trial. Cardiometabolic risk factors were measured according to standard clinical procedures. A cardiometabolic risk score was created from five biomarkers according to whether or not a standard clinical risk cut point was exceeded. Physical activity was determined by ActiGraph and self-report. Perceived risk and physical activity self-efficacy were assessed by validated measures. The

Indexed as

cardiometabolic riskphysical activityrisk perception attitude frameworkyoung adults

Identifiers

PMID40548236

DOI10.1177/15598276221142294

PMCPMC12177818

What Socratic holds

Textmetadata

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 Socratic graph.