Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in BMI category

Silva, Jéssica Cumpian; Rinaldi, Ana Elisa Madalena; Vasconcelos, Francisco de Assis Guedes de; Assis, Maria Alice Altenburg de; Mazzeti, Camila Medeiros da Silva; Oliveira, Mariane Helen de; Conde, Wolney Lisbôa

doi:10.1017/s1368980020004589

Cited by 4 publications

(2 citation statements)

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“…These biological measurements were used in our analysis without assumptions, and BP analysis is reproducible in other adolescent populations. 25…”

Section: Discussionmentioning

confidence: 99%

Association of dietary patterns and body phenotypes in Brazilian adolescents

Aem

Conde

2021

Preprint

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Objective: To investigate the association between dietary patterns and physical activity and body phenotypes in Brazilian adolescents. Methods: Cross-sectional study using data from a school-based study with 1,022 Brazilian adolescents aged 10 to 19 years. Body phenotypes (BP) and dietary patterns (DP) were defined using principal components analysis. BP was defined using anthropometric, body composition, biochemical, and sexual maturation, and DP from 19 food groups categorized from a food frequency questionnaire containing 58 food items. We performed a scatter plot to describe the relationship between energy expenditure assessed by MET and BP scores. The association between DP and BP, adjusted by sex, age and socioeconomic status, was assessed by linear regression model. Results: We identified five BP (BP1adiposity, BP2puberty, BP3biochemical, BP4muscular, BP5lipids_biochemical) and five DP (DP1ultraprocessed_foods, DP2fresh_foods, DP3bread_rice_beans, DP4culinary_preparation, DP5cakes_rice_beans). There are higher scores of BP_adiposity for obese adolescents, but energy expenditure was similar for obese and non-obese. Physical activity was positively associated with body mass index, BP_adiposity and BP_puberty. We observed negative association between DP_ultraprocessed and BMI, and a positive between DP_fresh_foods. DP_fresh_foods was positively associated with BP_adiposity; DP_ultraprocessed and DP_culinary_preparation were negatively associated with this BP. BP_biochemical was negatively associated with DP_fresh_foods. Conclusion: We identified negative association between DP mainly composed by ultraprocessed foods and fresh foods and BPadiposity. These associations need to be more explored, especially in adolescents, because both DP and BP were defined using multivariate analysis.

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“…These biological measurements were used in our analysis without assumptions, and BP analysis is reproducible in other adolescent populations. 25…”

Section: Discussionmentioning

confidence: 99%

Association of dietary patterns and body phenotypes in Brazilian adolescents

Aem

Conde

2021

Preprint

Self Cite

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“…Recently, the interest in applied research interpreting PhA in children and adolescents, particularly in youth sports, has increased notably ( 14 – 19 ). The PhA values should increase with adolescence and should be more pronounced in boys than girls ( 10 , 13 ).…”

Section: Introductionmentioning

confidence: 99%

Age-, sex-, and maturity-associated variation in the phase angle after adjusting for size in adolescents

et al. 2022

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BackgroundApplied research using the phase angle (PhA) in children and adolescents has increased notably. Using multilevel modeling in a fully Bayesian framework, we examined the relationships between PhA, age, sex, biological maturity status, and body size in 10–16-year-old adolescents.MethodsThe sample comprised 519 adolescents (women, n = 241; men, n = 278) from Campinas, São Paulo, Brazil. Biological maturity status was assessed with self-examination of pubertal development for sexual maturity and maturity offset protocol to estimate age at peak height velocity (PHV) for somatic maturity status. Stature and body mass were measured by anthropometry. Phase angle was calculated based on raw resistance and reactance values (50 kHz frequency) obtained by bioelectrical impedance with the foot-to-hand technology.ResultsThe multilevel regression analysis revealed that boys had significantly higher values of phase angle than girls, adjusting for age group and sexual maturity status. Overall, older and more mature adolescents had higher values of phase angle. When considering aligning variation in the phase angle by distance to estimated PHV (maturity offset), there was a higher association between the phase angle and time before and after predicted age at PHV for boys (r = 0.31, 90% CI: 0.23 to 0.39) than girls (r = 0.2, 90% CI: 0.11 to 0.28). When including body mass in the multilevel models, corresponding changes in the overall body mass mediate most of the influence of the maturity status and age group on the phase angle.ConclusionThe present study demonstrated that the variability in phase angle is related to inter-individual variation in sex, age, and maturity status, as well as differences in body size. Research with adolescents considering phase angle should use multilevel modeling with standardized parameters as default to adjust for the concurrent influence of sex, age, maturity status, and body size.

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Associação entre padrões alimentares e fenótipos corporais em adolescentes brasileiros

Rinaldi,

Conde,

Enes

2024

Rev. Bras. Saude Mater. Infant.

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Resumo Objetivos: investigar associação entre padrão alimentar (PA), atividade física (AF) e fenótipos corporais (FC) em adolescentes. Métodos: estudo transversal de base escolar com 1.022 adolescentes de dez a 19 anos. Padrão alimentar e fenótipo corporal foram definidos por meio da análise de componentes principais. O fenótipo corporal foi definido usando antropometria, composição corporal, bioquímica e maturação sexual, e padrão alimentar a partir de 19 grupos de alimentos de um questionário de frequência alimentar. A associação entre padrão alimentar e fenótipo corporal foi avaliada por modelo de regressão linear. Resultados: foram identificados cinco fenótipos corporais (FC1adiposidade, FC2puberdade, FC3bioquímico, FC4muscular, FC5lipídios_bioquímico) e cinco padrões alimentares (PA1alimentos_ultraprocessados, PA2alimentos_frescos, PA3pão_arroz_feijão, PA4preparações_culinárias, PA5bolos_arroz_feijão). Há maiores escores de FC_adiposidade para adolescentes com obesidade, mas o gasto energético foi semelhante para adolescentes com e sem diagnóstico de obesidade. Atividade física associou-se positivamente com IMC, FC_adiposidade e FC_puberdade. Observamos associação negativa entre PA_ultraprocessados e IMC, e positiva entre PA_alimentos_frescos. PA_alimentos_frescos associou-se positivamente com FC_adiposidade; PA_ultraprocessados e PA_preparações_culinárias se associaram negativamente a este fenótipo. FC_bioquímico associou-se negativamente com PA_alimentos_frescos. Conclusão: identificamos associação negativa entre padrão alimentar composto principalmente por alimentos ultraprocessados e alimentos in natura e FC_adiposidade. Essas associações devem ser exploradas com o mesmo público em estudos futuros, principalmente em adolescentes, pois tanto o padrão alimentar quanto o fenótipo foram definidos por meio de análise multivariada.

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Body phenotypes and sexual maturation in Brazilian and US adolescents: evidence for a change in BMI category

Cited by 4 publications

References 46 publications

Association of dietary patterns and body phenotypes in Brazilian adolescents

Association of dietary patterns and body phenotypes in Brazilian adolescents

Age-, sex-, and maturity-associated variation in the phase angle after adjusting for size in adolescents

Associação entre padrões alimentares e fenótipos corporais em adolescentes brasileiros

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