Association between fitness tracker use, physical activity, and general health of adolescents in Eastern Province of Saudi Arabia

• Published in: Journal of Family & Community Medicine Vol. 30; no. 4; pp. 251 - 258
• Main Authors: AlSayegh, Layla, Al-Mustafa, Maria, Alali, Ali, Farhan, Manal, AlShamlan, Nouf, AlOmar, Reem
• Format: Journal Article
• Language: English
• Published: India Wolters Kluwer India Pvt. Ltd 01.10.2023; Medknow Publications and Media Pvt. Ltd; Wolters Kluwer - Medknow; Wolters Kluwer Medknow Publications
• Subjects: adolescents; Exercise; fitness tracker; Original; physical activity; Physical fitness; Teenagers; Youth; Saudi Arabia; fitness tracker; Adolescents; physical activity
• ISSN: 2230-8229; 1319-1683; 2229-340X
• DOI: 10.4103/jfcm.jfcm_110_23

BACKGROUND: Physical inactivity is a major problem of adolescents worldwide. Fitness trackers are widely used technologies that assess physical activity and allow self-monitoring of daily activities. Thirty-five percent of the Saudi population is made up of adolescents, which makes them an important target population. Few studies have evaluated the association of fitness trackers with physical activity levels of adolescents. This study aimed to evaluate physical activity among adolescents and its relationship to their use of fitness trackers and overall health. MATERIALS AND METHODS: A cross-sectional study was carried out among adolescents in middle and high schools in the Eastern Province. Data was collected using a structured questionnaire and physical activity was assessed using International Physical Activity Questionnaire for Adolescents. Chi-square test and ANOVA were performed to test for statistical significance. Unadjusted and adjusted odds ratios (ORs) were obtained through ordered logistic regression models. Model diagnostics were run as post hoc analyses. RESULTS: Majority of participants (82.6%) had low physical activity levels, 12.2% had moderate and 5.2% had vigorous activity level. The model revealed that as participants' ages increased, the odds of having higher levels of physical activity decreased (OR = 0.92; 95% confidence interval [CI]: 0.85-0.99). Moreover, participants who did not go to a gym regularly or own a fitness tracker were less likely to have higher physical activity levels (OR = 0.43; 95% CI:0.30-0.61, and OR = 0.44; 95% CI: 0.33-0.59, respectively). Motivation for using fitness trackers was mostly "no specific reason" for females. However, "luxury and esthetics" were mostly reported by males. CONCLUSION: Physical activity tends to be higher in younger adolescents who use fitness trackers, or go to the gym regularly, with no significant difference between males and females. However, the motivation behind adolescents' use of fitness trackers varied by gender.