Comparação entre duas curvas de crescimento para detectar recém-nascidos pequenos para a idade gestacional

Freitas, Brunnella Alcântara Chagas de; Lima, Luciana Moreira; Lopes, Maria Elisabeth Moreira; Carlos, Carla Fernanda Lisboa Valente; Priore, Sílvia Eloíza; Franceschini, Sylvia do Carmo Castro

doi:10.1590/1806-93042016000100003

Cited by 2 publications

(1 citation statement)

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“…Curves were constructed from the percentiles 20, 50, 75, and 90 of body composition indices, stratified by age group of 10 years and sex, using Excel (version 2010, Microsoft Office). It was decided to adjust a third degree polynomial function that promotes smoothing of the curves, suppressing small variations in its shape and allowing better visualization (25). The 50th percentiles of SMI height , FMI, and BF percentage were compared with reference values for the non-Hispanic and Mexican whites and blacks, derived from the GE Healthcare Lunar DXA system, published by the National Health and Nutrition Examination Survey (NHANES) 1999-2004 (21) as well as data of Chinese population (18).…”

Section: Statistical Analyzesmentioning

confidence: 99%

Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves

Carvalho

Longo

Juvanhol

et al. 2019

Archives of Endocrinology and Metabolism

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Objective: To establish percentile curves for measures and indices of body composition by age and sex and compare them with data from other ethnic groups. Subjects and methods: Cross-sectional, population-based study with adults aged 20-59 years (n = 689). Percentile curves adjusted by a third degree polynomial function were constructed for skeletal mass index (SMI), fat mass index, body fat, and load-capacity metabolic indices (LCMI) based on dual-energy X-ray absorptiometry (DXA). Results: SMI weight and SMI BMI showed decline from the third decade of life in both sexes, whereas SMI height was not able to identify lean mass loss over the ages studied. There was a slight drop at the end of the fifth decade (50-59 years) in men. Among Americans and Chinese, the 50th percentile curve of SMI height showed an earlier decline. The estimates of adiposity and LCMI curves peaked between 40-49 years and Americans and Chinese maintained an upward curve throughout adulthood. Conclusion: The data and curves showed that the SMI adjusted for BMI and body weight were more adequate in detecting the decline of lean mass in adults due to aging. In contrast, SMI height had a positive correlation with age and its curve increased throughout the evaluated age groups. The results contribute to the evaluation to the nutritional status of adults and to the prevention and treatment of outcomes related to adiposity and deficit lean mass.

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Section: Statistical Analyzesmentioning

confidence: 99%

Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves

Carvalho

Longo

Juvanhol

et al. 2019

Archives of Endocrinology and Metabolism

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show abstract

Comparison of growth curves in very low birth weight preterm infants after hospital discharge

2021

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Comparação entre duas curvas de crescimento para detectar recém-nascidos pequenos para a idade gestacional

Abstract: Objectives: to compare two growth curvesLubchenco and Fenton & Kim -for detection of smallfor-gestational-age (SGA) newborns (NBs RN PIG, cuja taxa foi 16,2%, enquanto as Lubchenco detectaram 3,3% (p<0,001; k=0,292

Cited by 2 publications

References 25 publications

Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves

Body composition indices in Brazilian adults: age-specific and sex-specific percentile curves

Comparison of growth curves in very low birth weight preterm infants after hospital discharge

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