Examining the Relationship Between E-Cigarette Status and Wearable Device Use on Physical Activity Levels in U.S. Adults.

Autor:	Tiralla G; Depatment of Health Sciences and Human Performance, College of Natural Health Sciences, The University of Tampa, Tampa FL, USA., Tamulevicius N; Depatment of Health Sciences and Human Performance, College of Natural Health Sciences, The University of Tampa, Tampa FL, USA., Martinasek MP; Depatment of Health Sciences and Human Performance, College of Natural Health Sciences, The University of Tampa, Tampa FL, USA., Leung W; Depatment of Health Sciences and Human Performance, College of Natural Health Sciences, The University of Tampa, Tampa FL, USA.
Jazyk:	angličtina
Zdroj:	American journal of health promotion : AJHP [Am J Health Promot] 2024 Nov; Vol. 38 (8), pp. 1140-1146. Date of Electronic Publication: 2024 May 28.
DOI:	10.1177/08901171241256712
Abstrakt:	Purpose: The aim of this analysis is to investigate physical activity levels amongst e-cigarette users based on their wearable device use. Design: Cross-sectional secondary data analysis using 2017 Behavioral Risk Factor Surveillance Survey (BRFSS). Setting: Data from the 2017 BRFSS were used. Sample: 5,562 U.S. adults (age 18+). Measures: Self-reported physical activity related variables from U.S. adults (age 18+). Analysis: Separate unadjusted and adjusted linear regression models were performed for each of the dependent variables using survey analysis. Results: Non-users of wearable devices and e-cigarettes account for 96.6% (95%CI [95.7, 97.6]) of the sample, whereas users of wearable devices and e-cigarettes account for 3.3% (95%CI [1.2, 5.4]) of the sample. Those who use e-cigarettes participate in almost 50% less vigorous physical activity minutes per week than nonusers, 46 (95%CI [0.43, 91.57]) and 93 (95%CI [80.59, 106.34]) minutes respectively. Individuals who use e-cigarettes and use wearable devices were found to spend significantly more time in total physical activity per week in both the unadjusted and adjusted linear regressions, P = =0 .01 and P = =0.04 respectively. Conclusion: The use of e-cigarettes, wearable devices, or both technologies may influence the physical activity levels of its users. Additional research is needed to better understand the association between physical activity levels and the usage of these technologies. Competing Interests: Declaration of Conflicting InterestsThe author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Databáze:	MEDLINE
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