Testing the Youth Physical Activity Promotion Model (YPAP) in Brazilian Adolescents

Официальное название

Testing the Conceptual Diagram of the Youth Physical Activity Promotion Model (YPAP) Using Cross-sectional Data From Brazilian Adolescents

Обзор

This cross-sectional observational study aims to test the original conceptual diagram of the Youth Physical Activity Promotion Model (YPAP) in Brazilian adolescents. The study evaluates the relationships among predisposing, enabling, and reinforcing correlates described in the YPAP framework and investigates how these correlates interact with one another according to the pathways proposed by the model. A convenience sample of adolescents aged 10 to 13 years will be recruited through broad public dissemination as part of a larger experimental intervention project. Data will be collected at a single time point. Instead of traditional linear analytical strategies, the study will adopt complex, flexible, and non-linear methods such as network analysis to examine how correlates interconnect and influence physical activity behavior. Secondary analyses will explore whether the structure and strength of associations differ across demographic subgroups such as sex and socioeconomic level.

Подробное описание

The Youth Physical Activity Promotion Model (YPAP) conceptualizes physical activity behavior in youth as influenced by interacting correlates organized within predisposing, enabling, and reinforcing domains. These domains interact dynamically and collectively shape physical activity, forming a structured diagram originally proposed by Welk and colleagues. This study aims to test this conceptual diagram using data from Brazilian adolescents aged 10-13 years. The objective is to evaluate whether the empirical relationships among correlates follow the directional pathways and interactions proposed by the original YPAP model. This study will analyze baseline data collected as part of a broader experimental intervention, although no intervention or exposure occurs for the purpose of this cross-sectional analysis. Recruitment will occur through broad public dissemination linked to the host project and community outreach strategies. Given the complexity of the model and the expected multilevel interdependencies among correlates, the analysis strategy will rely on flexible, non-linear methods-most prominently network analysis-to explore how variables cluster, how correlates influence one another, and how these structures relate to normative patterns expected from the original YPAP framework. Secondary aims include testing whether observed associations vary by key demographic moderators described in the model (sex, socioeconomic level).

Первичные конечные точки

• Accelerometer-Measured Physical Activity (MVPA) [Срок оценки: Baseline (single assessment)]
• Total Body Mass [Срок оценки: Baseline (single assessment)]
• Standing and Sitting Height [Срок оценки: Baseline (single assessment)]
• Body Mass Index (BMI) [Срок оценки: Baseline (single assessment)]
• Waist Circumference [Срок оценки: Baseline (single assessment)]
• Waist-to-Height Ratio (WHtR) [Срок оценки: Baseline (single assessment)]
• Body Fat Percentage [Срок оценки: Baseline (single assessment)]
• Cardiorespiratory Fitness (Yo-Yo IR1C) [Срок оценки: Baseline (single assessment)]
• Motor Competence (KTK) [Срок оценки: Baseline (single assessment)]
• Cognitive Function (Tower of Hanoi) [Срок оценки: Baseline (single assessment)]

Вторичные конечные точки (2)

• Stratified network structure by sex [Срок оценки: Baseline]
• Stratified network structure by socioeconomic level [Срок оценки: Baseline]

Критерии участия

Критерии включения

• age 10-13 years;
• medical clearance for physical activity.

Критерии исключения

• presence of any clinical diagnosis that may interfere the performance of assessments (including musculoskeletal, neurological, vascular, pulmonary, or cardiac disorders).

Критерии приведены из реестра в оригинале (на английском). Окончательную оценку соответствия проводит исследовательский центр.

Здоровые добровольцы: Да

Дизайн исследования

Модель наблюдения

Другое

Центры проведения

Бразилия · 1 центр

• State University Of Rio de Janeiro — Rio de Janeiro

Публикации

• Jiang C, Razak NA, Rasyid NM, Cheng H. Investigating the youth physical activity promotion model among Chinese middle school students. BMC Public Health. 2025 May 19;25(1):1843. doi: 10.1186/s12889-025-23046-y. PMID 40389903
• Belanger M, Giroux MA, Registe PPW, Gallant F, Jemaa S, Faivre P, Saucier D, Mekari S. Adolescent physical activity profiles as determinants of emerging adults' physical activity. Int J Behav Nutr Phys Act. 2025 Mar 25;22(1):35. doi: 10.1186/s12966-025-01732-9. PMID 40134004
• Evenson KR, Catellier DJ, Gill K, Ondrak KS, McMurray RG. Calibration of two objective measures of physical activity for children. J Sports Sci. 2008 Dec;26(14):1557-65. doi: 10.1080/02640410802334196. PMID 18949660
• Vasconcellos F, Seabra A, Cunha F, Montenegro R, Penha J, Bouskela E, Nogueira Neto JF, Collett-Solberg P, Farinatti P. Health markers in obese adolescents improved by a 12-week recreational soccer program: a randomised controlled trial. J Sports Sci. 2016;34(6):564-75. doi: 10.1080/02640414.2015.1064150. Epub 2015 Jul 24. PMID 26208409
• Zhao C, Yuan J, Huang WW. Multilevel determinants of physical activity in children and adolescents: a meta-analysis guided by social ecological model. BMC Sports Sci Med Rehabil. 2025 Jul 15;17(1):202. doi: 10.1186/s13102-025-01225-z. PMID 40665401

Идентификаторы

NCT: NCT07511738 · YPAP Bra Adolescents

Первоисточники (государственные реестры)

• ClinicalTrials.gov (NIH, США)

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