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Wilczynska M, Jansson AK, Lubans DR, Smith JJ, Robards SL, Plotnikoff RC. Physical activity intervention for rural middle-aged and older Australian adults: a pilot implementation study of the ecofit program delivered in a real-world setting. Pilot and Feasibility Studies. 2021 Dec; 7(1): 1-7.

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Article

Sociodemographic Predictors of Physical Inactivity in Montana Adults

1Health Promotion Research, Havre, MT 59501


Journal of Physical Activity Research. 2021, Vol. 6 No. 2, 122-125
DOI: 10.12691/jpar-6-2-9
Copyright © 2021 Science and Education Publishing

Cite this paper:
Peter D. Hart. Sociodemographic Predictors of Physical Inactivity in Montana Adults. Journal of Physical Activity Research. 2021; 6(2):122-125. doi: 10.12691/jpar-6-2-9.

Correspondence to: Peter  D. Hart, Health Promotion Research, Havre, MT 59501. Email: pdhart@outlook.com

Abstract

Background: Physical activity (PA) intervention strategies that target specific priority populations can achieve greater public health impact. The aim of this research was to find sociodemographic predictors of physical inactivity (PIA) using multivariate analyses. Methods: Data for this study came from the 2020 Montana Behavioral Risk Factor Surveillance System (BRFSS). Seven different categorical sociodemographic characteristics (SDCs) were used and included age, sex, race/ethnicity, income, education, marital status, and rural/urban status. PIA was assessed from a question asking adults if they participated in any physical activities or exercises during the past month. Multiple logistic regression was employed to examine the relationship between the SDCs and PIA. Results: Bivariate analyses showed significant (ps < .0001) relationships between PIA and age, income, education, marital status, and rural/urban status. Whereas, sex and race/ethnicity were not significantly related to PIA. Fully adjusted regression models showed increasing odds of PIA as age increased from reference group 18 to 24 years (ORs: 1.84 to 3.87, p for trend < .0001), as income decreased from reference group $50,000+ (ORs: 1.42 to 2.73, p for trend < .0001), and as formal education decreased from reference group college graduate (ORs: 2.08 to 4.60, p for trend < .0001). Marital status and rural/urban status both lost predictive ability in light of the other SDCs. Additionally, analyses stratified by race/ethnicity indicated considerably greater odds (OR = 5.13, 95% CI: 1.58 – 16.74) of PIA for Hispanic females (compared to males), with no other race/ethnicity sex differences seen. Conclusion: This study found that several SDCs relate to PIA in adults. Health promotion specialists concerned with increasing PA should consider independently targeting lower income, less educated, and older individuals. Hispanic females may be a priority population for PIA intervention in the state of Montana.

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