Physical Activity and Perceived Support among Adolescents According to Sex and Municipality.

A cross-sectional study was conducted with three aims: (1) to determine the degree of compliance with physical activity recommendations among adolescents according to sex and place of residence, (2) to determine the perceived support of family and friends for physical activity among adolescents according to sex and place of residence, and (3) to analyse the influence of family and friends support on compliance with physical activity recommendations among adolescents according to sex and place of residence. A total of 694 adolescents from an inland area of Spain (14.06 ± 1.

Moderate-Vigorous Physical Activity, Screen Time and Sleep Time Profiles: A Cluster Analysis in Spanish Adolescents.

The study had two aims: (1) To classify the adolescents according to their levels of moderate-vigorous physical activity, screen time and sleep time, and (2) to analyze, in a descriptive and correlational manner, the profiles of moderate-vigorous physical activity, screen time and sleep time of each cluster according to the sex and grade of the adolescents. The study design was cross-sectional, with descriptive and correlational analysis. The sample consisted of 663 adolescents in Compulsory Secondary Education from Soria (Spain).

Moderate-Vigorous Physical Activity, Family Support, Peer Support, and Screen Time: An Explanatory Model.

It is important to investigate how the different factors of physical activity and screen time influence each population group in order to design effective proposals for health promotion. This study aims to: (1) create an explanatory model to establish the relationships between moderate-vigorous physical activity time, screen time, family support, and peer support of adolescents in the region of Soria (Spain); (2) contrast the explanatory structural model according to the intensity of physical activity. A representative sample of 694 adolescents, aged 12-17 years, from the region of Soria was selected.

The Relationships between Physical Activity, Screen Time and Sleep Time According to the Adolescents' Sex and the Day of the Week.

This study had two aims: (1) to identify the levels of physical activity, screen time and sleep time of adolescents according to the sex of the participant and the day of the week; (2) to find out the relationships between physical activity, screen time and sleep time according to the sex of the participant and the day of the week. The study design was non-experimental, descriptive-correlational and cross-sectional. The sample consisted of 694 adolescents in Compulsory Secondary Education from Soria (Spain).

Physical Activity, Energy Expenditure, Screen Time and Social Support in Spanish Adolescents-Towards an Explanatory Model about Health Risk Factors.

Youth obesity has been a pandemic for decades. One of its causes is a low level of physical activity. It is necessary to know the specific situation of adolescents and the factors that influence it in order to be able to act accordingly.

An Explanatory Model of the Relationships between Physical Activity, Social Support and Screen Time among Adolescents.

Effective physical activity studies are necessary to understand how factors involved in physical activity mediate behaviour. Therefore, more reliable explanatory models can be generated in order to design effective actions to promote physical activity. The study had two aims: (1) to develop an explanatory model to identify and establish the relationships between physical activity, social support and screen time among adolescents; and (2) to contrast the explanatory structural model by means of a multi-group analysis according to sex.

Psycho-social factors determining success in high-performance triathlon: compared perception in the coach-athlete pair.

High-level sport can be analyzed using the complex system model, in which performance is constrained by many factors. Coaches' and athletes' perceptions of important positive and negative factors affecting performance were compared. Participants were 48 high-level international triathletes (n = 34) and their coaches (n = 14).