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CORRELATES OF PHYSICAL ACTIVITY IN ADOLESCENTS OF PUBLIC SCHOOLS IN CURITIBA, PARANÁ, BRAZIL

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Specialty Pediatrics
Date 2020 Jun 20
PMID 32556061
Citations 2
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Abstract

Objective: To verify the association of nutritional status, biological maturation, social support and self-efficacy with the physical activity level of 2,347 students of both sexes, aged between 11 and 15 years old, enrolled in state schools in the city of Curitiba, Paraná, Brazil.

Methods: Anthropometric measurements of body mass, height and sitting height were collected. The assessment of biological maturation was based on the analysis of the age at peak height and sexual maturity. The physical activity level, social support from parents and friends and self-efficacy were evaluated by self-reported questionnaires. Sex/age-specific body mass index (BMI) cutoff points identified the nutritional status. Gross and adjusted binary logistic regression were used to obtain odds (OR) ratios with 95% confidence intervals (95%CI), adopting p≤0.05 as significant.

Results: More than half (52.3%; n=1,227) of students were active, with boys in a higher proportion (64.1%; p≤0.01). The correlates of physical activity were: nutritional status (OR 1.25; 95%CI 1.01-1.56), early somatic maturation (OR 0.71; 95%CI 0.54-0.93), moderate (OR 1.85; 95%CI 1.50-2.30) and high social support from parents (OR 2.70; 95%CI 2.11-3.42) and high social support from friends (OR 1.78; 95%CI 1.42-2.24).

Conclusions: Nutritional status, early somatic maturation, social support of parents and friends were correlates of physical activity. Overweight girls with moderate and high parental support and boys with greater social support from parents and friends were more active. Girls with early somatic maturation were less active.

Citing Articles

Does autonomous motivation and self-efficacy mediate associations between environmental factors and physical activity in adolescents?.

de Oliveira Barbosa R, Castilho Dos Santos G, da Silva J, de Souza Silva T, Dias P, Correa R BMC Psychol. 2024; 12(1):548.

PMID: 39394162 PMC: 11468100. DOI: 10.1186/s40359-024-02055-3.


Individual, family, school and neighborhood predictors related to different levels of physical activity in adolescents: A cross-sectional study.

Caetano I, Dos Santos F, Andaki A, Gomes T, Amorim P PLoS One. 2024; 19(8):e0304737.

PMID: 39178190 PMC: 11343401. DOI: 10.1371/journal.pone.0304737.

References
1.
Lu C, Stolk R, Sauer P, Sijtsma A, Wiersma R, Huang G . Factors of physical activity among Chinese children and adolescents: a systematic review. Int J Behav Nutr Phys Act. 2017; 14(1):36. PMC: 5360041. DOI: 10.1186/s12966-017-0486-y. View

2.
Atkin A, van Sluijs E, Dollman J, Taylor W, Stanley R . Identifying correlates and determinants of physical activity in youth: How can we advance the field?. Prev Med. 2016; 87:167-169. PMC: 4893019. DOI: 10.1016/j.ypmed.2016.02.040. View

3.
Cairney J, Veldhuizen S, Kwan M, Hay J, Faught B . Biological age and sex-related declines in physical activity during adolescence. Med Sci Sports Exerc. 2013; 46(4):730-5. DOI: 10.1249/MSS.0000000000000168. View

4.
Bacil E, Piola T, Watanabe P, da Silva M, Legnani R, Campos W . [Reproducibility of a questionnaire on physical activity among school students from 9 to 15 years of age]. Cien Saude Colet. 2018; 23(11):3841-3848. DOI: 10.1590/1413-812320182311.22832016. View

5.
Peltzer K, Pengpid S . Leisure Time Physical Inactivity and Sedentary Behaviour and Lifestyle Correlates among Students Aged 13-15 in the Association of Southeast Asian Nations (ASEAN) Member States, 2007-2013. Int J Environ Res Public Health. 2016; 13(2):217. PMC: 4772237. DOI: 10.3390/ijerph13020217. View