Evidence map›Paper›PMID 41920820›Full record

ArticlePloS one2026

Adults' leisure-time physical activity preferences and association with physical activity guidelines by metropolitan status, United States, 2019.

Christiaan G Abildso, Eugene C Fitzhugh, Alan M Beck, Ashleigh Johnson, Dina L Maruca, Stefanie M Meyer, Cynthia K Perry, Carissa R Smock, Zachary Townsend, Lauren E Jacobs and 1 more

Abstract read
In one paragraph

Article in PloS one, 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
–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

11 authors.

Christiaan G AbildsoDivision for Land-Grant Engagement, West Virginia University Extension, West Virginia University, Morgantown, West Virginia, United States of America.ORCID https://orcid.org/0000-0003-1972-2348
Eugene C FitzhughDepartment of Kinesiology, Recreation, and Sports Studies; University of Tennessee at KnoxvilleKnoxville, Tennessee, United States of America.
Alan M BeckSchool of Public Health, Washington University in St. Louis, St. Louis, Missouri, United States of America.ORCID https://orcid.org/0000-0002-5930-8910
Ashleigh JohnsonSchool of Exercise and Nutritional Sciences, San Diego State University, San Diego, California, United States of America.ORCID https://orcid.org/0000-0001-6638-9352
Dina L MarucaDepartment of Orthopaedics and Division of Physical Therapy, West Virginia University, Morgantown, West Virginia, United States of America.
Stefanie M MeyerSchool of Health Professions, Concordia College, Moorhead, Minnesota, United States of America.ORCID https://orcid.org/0000-0003-1061-7090
Cynthia K PerrySchool of Nursing, Oregon Health & Science University, Portland, Oregon, United States of America.
Carissa R SmockSchool of Business and Economics, National University, San Diego, California, United States of America.
Zachary TownsendSchool of Health Sciences, Salisbury University, Salisbury, Maryland, United States of America.
Lauren E JacobsSchool of Kinesiology, Physical Education, and Athletic Training; College of Education and Human Development; University of Maine, Orono, Maine, United States of America.ORCID https://orcid.org/0000-0001-5711-3514
M Renée Umstattd MeyerRobbins College of Health and Human Sciences, Baylor University, Waco, Texas, United States of America.

Funding

Development and feasibility testing of a Boys & Girls Clubs' sports intervention to promote physical activity in rural girls: Girls PLAYK01HL171860 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI Ashleigh Marie Johnson · 2024 to 2026
$433k
NHLBI NIH HHS K01 HL171860
6 · The paper itself

Abstract

backgroundRural US adults experience disparities in meeting the physical activity guidelines (PAGs). Little is known about preferred types of leisure-time physical activity (LTPA), nor their relationship with meeting the PAGs. This study aimed to identify the most prevalent LTPAs among US adults, the relationship between LTPA types and meeting PAGs, and how these differed by residential status.

methods2019 Behavioral Risk Factor Surveillance Study data were analyzed. Age-adjusted prevalence of 75 LTPAs and 11 categories of LTPAs that respondents spent the "most time" and "next most time" in during the previous month were compared by residential status (metropolitan; non-metropolitan). Logistic and multinomial logistic regression analyses adjusted for a variety of factors were used to compare the prevalence of meeting aerobic-, muscle strengthening, and combined PAGs by residential status. Age-adjusted prevalence of meeting the combined PAGs by 11 LTPA categories was compared by metropolitan status.

resultsWalking was the most prevalent LTPA (44.1%). Lawn/garden, hunting/fishing, household, farm/ranch work, childcare, and winter activities were more prevalent among non-metropolitan (rural) residents. Walking, running/jogging, weightlifting, conditioning, other activities, sports, bicycling, water activities, and dance were more prevalent among metropolitan (urban) residents. Non-metropolitan residents were less likely to meet the minimal aerobic-, muscle-strengthening, and combined PAGs, and were more likely to be inactive. Among adults that engaged in walking, roughly 25% met the combined PAGs and about 22% did not meet either PAG.

conclusionsWhen creating targeted rural PA interventions, LTPA preferences could be embraced and augmented or the non-preferred LTPAs could be adapted.

Indexed as

ExerciseLeisure ActivitiesAdolescentAdultAgedBehavioral Risk Factor Surveillance SystemFemaleHumansMaleMiddle AgedRural PopulationUnited StatesUrban PopulationYoung Adult

Identifiers

PMID41920820
PMCPMC13042704

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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.