| Revista: | Revista de saude publica |
| Base de datos: | |
| Número de sistema: | 000535999 |
| ISSN: | 0034-8910 |
| Autors: | Lima, Raina Jansen Cutrim Propp1 Batista, Rosângela Fernandes Lucena2 Ribeiro, Cecília Claudia Costa2 Simões, Vanda Maria Ferreira2 Lima Neto, Pedro Martins3 Bettiol, Heloisa4 Silva, Antônio Augusto Moura da2 |
| Institucions: | 1Instituto Federal de Educação, Ciência e Tecnologia do Maranhão, Açailândia, MA. Brasil 2Universidade Federal do Maranhão, Centro de Ciências Biológicas e da Saúde, São Luís. Brasil 3Universidade Federal do Maranhão, Centro de Ciências Sociais Saúde e Tecnologia, Imperatriz. Brasil 4Universidade de São Paulo, Faculdade de Medicina de Ribeirão Preto, Ribeirão Preto. Brasil |
| Any: | 2020 |
| Volum: | 54 |
| País: | Brasil |
| Idioma: | Inglés |
| Resumen en inglés | OBJECTIVE: To analyze the effects of early determinants on adolescent fat-free mass. METHODS: A cohort study with 579 adolescents evaluated at birth and adolescence in 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. |
| Keyword: | Adolescent Health, Fetal Development, Body Composition, Biological Factors, Social Determinants of Health, Socioeconomic Factors |
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