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Effect of early determinants on adolescent fat-free mass: RPS cohort of São Luís – MA

Authors :
Raina Jansen Cutrim Propp Lima
Rosângela Fernandes Lucena Batista
Cecília Claudia Costa Ribeiro
Vanda Maria Ferreira Simões
Pedro Martins Lima Neto
Heloisa Bettiol
Antônio Augusto Moura da Silva
Source :
Revista de Saúde Pública v.54 2020, Revista de Saúde Pública, Universidade de São Paulo (USP), instacron:USP, Revista de Saúde Pública, Volume: 54, Article number: 113, Published: 20 NOV 2020, Revista de Saúde Pública, Vol 54 (2020)
Publication Year :
2020
Publisher :
Faculdade de Saúde Pública da Universidade de São Paulo, 2020.

Abstract

OBJECTIVE: To analyze the effects of early determinants on adolescent fat-free mass. METHODS: A c ohort s tudy w ith 5 79 a dolescents e valuated a t b irth a nd a dolescence i n a birth cohort in São Luís, Maranhão. In the proposed model, estimated by structural equation modeling, socioeconomic status (SES) at birth, maternal age, pregestational body mass index (BMI), gestational smoking, gestational weight gain, type of delivery, gestational age, sex of the newborn, length and weight at birth, adolescent socioeconomic status, “neither study/nor work” generation, adolescent physical activity level and alcohol consumption were tested as early determinants of adolescent fat-free mass (FFM). RESULTS: A higher pregestational BMI resulted in higher FFM in adolescence (Standardized Coefficient, SC = 0.152; p < 0.001). Being female implied a lower FFM in adolescence (SC = -0.633; p < 0.001). The negative effect of gender on FFM was direct (SC = -0.523; p < 0.001), but there was an indirect negative effect via physical activity level (SC = -0.085; p < 0.001). Women were less active (p < 0.001). An increase of 0.5 kg (1 Standard Deviation, SD) in birth weight led to a gain of 0.25 kg/m2 (0.106 SD) in adolescent FFM index (p = 0.034). Not studying or working had a negative effect on the adolescent’s FFM (SC = -0.106; p = 0.015). Elevation of 1 SD in the adolescent’s physical activity level represented an increase of 0.5 kg/m2 (0.207 SD) in FFM index (p < 0.001). CONCLUSIONS: The early determinants with the greatest effects on adolescent FFM are gender, adolescent physical activity level, pregestational BMI, birth weight and belonging to the “neither-nor” generation.

Details

Language :
English
Database :
OpenAIRE
Journal :
Revista de Saúde Pública v.54 2020, Revista de Saúde Pública, Universidade de São Paulo (USP), instacron:USP, Revista de Saúde Pública, Volume: 54, Article number: 113, Published: 20 NOV 2020, Revista de Saúde Pública, Vol 54 (2020)
Accession number :
edsair.doi.dedup.....f5ae0a9a2082844c0a2b8327086e1191