Evidence map›Paper›PMID 42382452›Full record

ArticleFrontiers in sports and active living2026

Applying theory of planned behavior to examine adolescent female athletes' intentions of continued sport participation.

Chris Hopkins, Casey S Hopkins

Abstract read
In one paragraph

Article in Frontiers in sports and active living, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
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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

2 authors.

Chris HopkinsDepartment of Health Sciences, Furman University, Greenville, SC, United States.
Casey S HopkinsSchool of Nursing, Clemson University, Clemson, SC, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Adolescent females discontinue sports at higher rates than males, which contributes to their lower overall physical activity during this important period of development. Potentially useful for understanding this disparity, the Theory of Planned Behavior (TPB) provides a framework to study one's intentions through their attitudes, subjective norms, and perceived behavioral control. This study examined whether TPB constructs predict female adolescents' intentions to continue participating in sports and remain physically active. Methods: This cross-sectional study used an online questionnaire to collect data from 271 female adolescents who recently participated in organized sports. Structural equation modeling was used to test TPB's ability to predict participants' intentions of continued sports participation and their intentions of regular exercise in one year. Results: Structural equation models for both outcomes exhibited acceptable fit. Participants' intention of participating in sports next year was predicted by attitudes ( Discussion: Findings support TPB as a useful framework for understanding adolescent female athletes' intentions of continued sports participation and future physical activity. Based on these findings, interventions to enhance continued girls' sports participation should promote supportive, confidence-building environments, foster encouraging social interactions between teammates and peers, and reduce structural barriers related to access and cost. These approaches align with public health priorities and support pathways to lifelong engagement in sport and physical activity.

Indexed as

adolescent femalefemale athletephysical activitysport participationstructural equation modelingtheory of planned behavior

Identifiers

PMID42382452
PMCPMC13315174

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.