Evidence map›Paper›PMID 39975456›Full record

ArticleHealth psychology and behavioral medicine2025

Factors influencing regular exercise in young women: a survey study assessing the preferences and motivators for aerobic and muscle-strengthening exercise.

Chloe S Jones, Katherine E Spring, Danielle D Wadsworth

Abstract read
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Article in Health psychology and behavioral medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

3 authors.

Chloe S JonesSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Katherine E SpringSchool of Kinesiology, Auburn University, Auburn, AL, USA.
Danielle D WadsworthSchool of Kinesiology, Auburn University, Auburn, AL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Young adult women have unique barriers to exercise, but assessing the psychological and behavioral strategies of women who overcome these barriers may be beneficial for informing future exercise programs. This study assessed differences in motives and self-regulation by type (aerobic or muscle-strengthening) and frequency of exercise, along with preferences for exercise amongst young adult women who exercise regularly. Methods: A survey assessed exercise frequency (International Physical Activity Questionnaire), intensity (Borg's scale), type, and social and physical preferences. The Exercise Motivations Inventory-2 measured motivators for exercise and the Physical Activity Self-Regulation Scale measured self-regulation. Characteristics and preferences for exercise were examined using descriptives and frequencies. MANOVAs assessed differences in motivators and self-regulation by frequency of exercise, and regression analyses assessed differences in exercise predictors by type. Results: The sample consisted of 269 women ages 18-34 (66.5% White), of whom 80.3% met the national guidelines for aerobic exercise, 78.4% met the guidelines for muscle-strengthening exercise, and 32.3% identified resistance exercise as their preferred type of exercise. Weight management and self-regulation ( Conclusions: Programs for young adult women should consider incorporating resistance exercise as this study shows it may evoke motivation that could lead to regular participation. Self-regulation strategies were associated with adherence to both aerobic and muscle-strengthening exercises, highlighting the potential importance for inclusion in future interventions.

Indexed as

exercise adherenceExercise motivationresistance exerciseself-regulation

Identifiers

PMID39975456
PMCPMC11837932

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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.