Clusters of Adolescent Physical Activity Tracker Patterns and Their Associations With Physical Activity Behaviors in Finland and Ireland: Cross-Sectional Study

Promoting child and adolescent health through wearable technology: A systematic review

Background

Wearable technology is used in healthcare to monitor the health of individuals. This study presents an updated systematic literature review of the use of wearable technology in promoting child and adolescent health, accompanied by recommendations for future research.

Methods

This review focuses on studies involving children and adolescents aged between 2 and 18 years, regardless of their health condition or disabilities. Studies that were published from 2016 to 2024, and which met the inclusion criteria, were extracted from four academic databases (i.e. PubMed, Cochrane, Embase, and Web of Science) using the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) protocol. Data on intervention purposes, interventions deployed, intervention duration, measurements, and the main outcomes of the studies were collected.

Results

A total of 53 studies involving 14,852 participants were reviewed. They focused on various aspects, including the ownership and use of wearable devices (n = 3), the feasibility (n = 22), effectiveness (n = 4), and adherence (n = 2) of intervention strategies, or a combination of multiple aspects (n = 22). Among the interventions deployed, Fitbit was the most frequently used, featuring in 26 studies, followed by ActiGraph (n = 11). In intervention studies, the majority of studies focused on pre-morbidity prevention (n = 26) and the treatment of illnesses (n = 20), with limited attention given to postoperative monitoring (n = 4).

Conclusions

The use of wearable technology by children and adolescents has proven to be both feasible and effective for health promotion. This systematic review summarizes existing research by exploring the use of wearable technology in promoting health across diverse youth populations, including healthy and unhealthy individuals. It examines health promotion at various stages of the disease continuum, including pre-disease prevention, in-disease treatment, and postoperative monitoring. Additionally, the review provides directions for future research.

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

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.

Health Habits and Wearable Activity Tracker Devices: Analytical Cross-Sectional Study

Wearable activity trackers are electronic devices that facilitate self-monitoring of information related to health. The purpose of this study was to examine the use of tracker devices to record daily activity (calories) and its associations with gender, generation, BMI, and physical activity behavior of United States of America resident adults; a cross-sectional study in 892 subjects recruited to participate in an anonymous online survey was performed. Being female increased the odds of using a tracker device by 2.3 times. Having low cardiovascular disease mortality risk related to time spent sitting increased the odds for using a tracker device by 2.7 times, and having medium risk 1.9 times, with respect to having high risk. For every 1-point increase in BMI, the odds for using a tracker device increased by 5.2%. Conclusions: Subjects who had ever used any tracker device had a higher BMI. The use of tracker devices was related to lower cardiovascular disease mortality risk related to sitting time. The amount of physical activity and the time spent walking were not associated with the usage of tracker devices. It is possible that the user of tracker devices should be supported by professionals to implement deep change in health habits.

The Association of Family, Friends, and Teacher Support With Girls' Sport and Physical Activity on the Island of Ireland

BACKGROUND

The current study was the largest physical activity (PA) surveillance assessment of youth undertaken in Ireland in recent years. The purpose of this research was to assess the impact of social support, while controlling for age and screen time, on PA and sport participation, across a representative sample of Irish female youth.

METHODS

A total of 3503 children (mean age: 13.54 [2.05] y) across the island of Ireland participated. Participants completed a previously validated electronic questionnaire while supervised in a classroom setting, which investigated their (1) levels of PA; (2) screen time; (3) community sport participation; and (4) social support (friend, family, and teacher) to be physically active/partake in sport.

RESULTS

There were significant differences, with medium and large effect sizes, for social support from friends and family across types of sports participation. Specifically, girls who participated in the most popular team sports, when compared with the most popular individual sports, reported higher social support scores for friends and family structures.

CONCLUSIONS

Findings from this study confirm the contributing influence of friends and family as sport and PA support networks for girls. Interventions should consider the importance of culturally relevant team sports for PA engagement in female youth.

Barriers and facilitators to changes in adolescent physical activity during COVID-19

OBJECTIVES

COVID-19 restrictions reduced adolescents' opportunities for physical activity (PA). The purpose of this study was to examine how adolescent PA changed during school closures, to identify the key barriers and facilitators for these changes during lockdown and to use this information to understand how to manage future crises' situations positively to prevent physical inactivity.

METHODS

Irish adolescents (N=1214; ages 12-18 years) participated in an online cross-sectional study during April 2020, including items on PA level, changes in PA and reasons for change in an open-ended format. Numeric analyses were through multiple binary logistic regressions, stratified by changes in PA during lockdown and inductive analysis of open coding of text responses.

RESULTS

Adolescents reported they did less PA (50%), no change (30%) or did more PA during lockdown (20%). Adolescents who did less PA were more likely to be overweight (OR=1.8, CI=1.2-2.7) or obese (OR=2.2, CI=1.2-4.0) and less likely to have strong prior PA habits (OR=0.4, CI=0.2-0.6). The most cited barriers to PA were coronavirus, club training cancelled and time. Strong associations for doing more PA included participation in strengthening exercises at least three times in the past 7 days (OR=1.7, CI=1.3-2.4); facilitators were more time, coronavirus and no school.

CONCLUSION

COVID-19 restrictions were both a barrier to and an opportunity for PA. Parents, schools, public health, communities and industries must collaborate to prevent physical inactivity at times of crisis, especially for vulnerable groups.