A multilevel analysis of health-related physical fitness. The Portuguese sibling study on growth, fitness, lifestyle and health

Pereira, Sara; Katzmarzyk, Peter T.; Gomes, Thayse Natacha; Souza, Michele; Chaves, Raquel; Santos, Fernanda Karina dos; Santos, Daniel; Hedeker, Donald; Maia, José

doi:10.1371/journal.pone.0172013

Cited by 11 publications

(13 citation statements)

References 66 publications

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“…Another study carried out with 282 adolescents of both genders aged 11-13 years from three schools in southern Brazil (Londrina) found that 56% of boys and 34% of girls had inadequate levels of cardiorespiratory fitness, but boys presented higher VO 2 in relation to girls. A similar result was found by Pelegrini et al 19 in a study with 601 schoolchildren aged 14-17 years, also in southern Brazil (mid-western state of Santa Catarina), where boys had higher prevalence of inadequate VO 2 (92.6%) when compared to girls (35.5%), but the relative VO 2 was higher in males than in females 20 .…”

Section: Discussionsupporting

confidence: 86%

Aptidão cardiorrespiratória em crianças e adolescentes

Batista

Oliveira

Lemos

et al. 2019

Rev. Bras. Cineantropom. Desempenho Hum.

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Cardiorespiratory fitness is an important health status indicator. The purpose of this study was to verify the cardiorespiratory fitness according to age group and gender in children and adolescents from Sergipe, Brazil. It is a cross-sectional study with sample consisting of 195 adolescents of both genders with mean age of 11.75 ± 3.0 years. For the characterization of participants, a questionnaire with age and gender identification designed by researchers was used. Subsequently, participants were submitted to anthropometric evaluation in order to estimate the maturational stage by means of the peak height velocity (PHV). The 20-meter back-and-forth test was used to estimate cardiorespiratory fitness. Two-way ANOVA was applied with sample divided into two groups (“up to 13 years” and “above 13 years”). Polynomial contrast was used to identify the type of tendency for cardiorespiratory fitness, and simple contrast for multiple comparisons. All procedures were performed using SPSS version 22.0 software, considering 5% significance level. In the “over 13 years” group, there was a significant effect on the cardiorespiratory capacity behavior according to “gender” [F(1, 45) = 5.54, p = 0.02, r = 0.33] and “age” [F(4.45) = 3.37, p = 0.02, r = 0.48]. The simple contrast identified increased cardiorespiratory fitness behavior in relation to age groups of 15 and 16 year when compared to the age group of 14 years. It was concluded that gender and age positively influence cardiorespiratory fitness from the maturational reference age in the study group.

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Section: Discussionsupporting

confidence: 86%

Aptidão cardiorrespiratória em crianças e adolescentes

Batista

Oliveira

Lemos

et al. 2019

Rev. Bras. Cineantropom. Desempenho Hum.

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“…Within the sample, there were a small number of 16 and 17‐year‐old children. These were combined into the 15‐year‐old group, ie, 15+; for analysis, see Gomes et al Sample 3 consisted of 1745 children (859 boys) aged 7 to 17 years old, recruited as part of the Active Vouzela project in the midlands of Portugal (see Chaves et al). Sample 4 consisted of 2365 children (1197 boys) aged 8 to 17 years old, recruited as part of the Portuguese sibling study on growth, fitness, lifestyle, and health (see Pereira et al).…”

Section: Methodsmentioning

confidence: 99%

Can waist circumference provide a new “third” dimension to BMI when predicting percentage body fat in children? Insights using allometric modelling

et al. 2018

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Summary Introduction Body mass index (BMI) is often criticized for not being able to distinguish between lean and fat tissue. Waist circumference (WC), adjusted for stature, is proposed as an alternative weight status index, as it is more sensitive to changes in central adiposity. Purpose The purpose of the study is to combine the three dimensions of height, mass, and WC to provide a simple, meaningful, and more accurate index associated with percentage body fat (BF%). Methods We employed a four independent sample design. Sample 1 consisted of 551 children (320 boys) (mean ± SD of age = 7.2 ± 2.0 years), recruited from London, UK. Samples 2, 3, and 4 consisted of 5387 children (2649 boys) aged 7 to 17 years recruited from schools in Portugal. Allometric modelling was used to identify the most effective anthropometric index associated with BF%. The data from samples 2, 3, and 4 were used to confirm and cross‐validate the model derived in sample 1. Results The allometric models from all four samples identified a positive mass exponent and a negative height exponent that was approximately twice that of the mass exponent and a waist circumference exponent that was approximately half the mass exponent. Consequently, the body shape index most strongly associated with BF% was BMIWC. The WC component of the new index can simply be interpreted as a WC “weighting” of the traditional BMI. Conclusions Compared with using BMI and WC in isolation, BMIWC0.25emcould provide a more effective and equally noninvasive proxy for BF% in children that can be used in public and community health settings.

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“…Indeed, Niermann et al [55] used cluster analysis to identify patterns of health behaviors within families based on triads (father, mother, and child) and reported lower intraclass correlation values than in our sample. Furthermore, previous studies investigating sibling resemblance for each individual health-related marker, namely physical fitness [17,56,57], physical activity [58,59,60], body composition [61,62], and diet [63], showed low-to-moderate sibling similarities. However, the effect sizes of such sib-ships’ likeness varied across studies, which can also be partially explained by differences in sample sizes and composition, age range, reference population, analytical strategies, and covariate adjustments.…”

Section: Discussionmentioning

confidence: 99%

“…The current study sample was from the Portuguese Sibling Study on Growth, Fitness, Lifestyle and Health, which investigates physical growth, body composition, physical fitness, physical activity, metabolic syndrome, and health behaviors in a cohort of siblings [17]. The subjects in this study were part of a larger study, the Portuguese Healthy Family Study [17], in which participants were randomly sampled from schools in mainland (north and central) Portugal and from the Azores islands. Those who had their siblings studying in the same school were invited to take part in the study (~4100), and the response rate was ~80%.…”

Section: Methodsmentioning

confidence: 99%

Profile Resemblance in Health-Related Markers: The Portuguese Sibling Study on Growth, Fitness, Lifestyle, and Health

Pereira

Katzmarzyk

Hedeker

et al. 2018

IJERPH

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The co-occurrence of health-related markers and their associations with individual, family, and environmental characteristics have not yet been widely explored in siblings. We aimed to identify multivariate profiles of health-related markers, analyze their associations with biological, sociodemographic, and built environment characteristics, and estimate sibling resemblance in these profiles. The sample includes 736 biological siblings aged 9–20 years. Body fat was measured with a portable bioelectrical impedance scale; biological maturation was assessed with the maturity offset; handgrip strength, standing long jump, one-mile run, and shuttle run were used to mark physical fitness. Health behaviors, sociodemographic, and built environmental characteristics were recorded by questionnaire. Latent profile analysis and multilevel logistic regression models were used; sibling resemblance was estimated with the intraclass correlation (ρ). Two multivariate profiles emerged: “P1 = fit, lower fat and poorer diet” (86.7%) and “P2 = higher fat and lower fit, but better diet” (13.3%). Siblings whose fathers were less qualified in their occupation were more likely to belong to P2 (OR = 1.24, p = 0.04); those whose fathers with Grade 12 and university level education were more likely to fit in P2 compared to peers living with fathers having an educational level below Grade 12 (OR = 3.18, p = 0.03, and OR = 6.40, p = 0.02, Grade 12 and university level, respectively). A moderate sibling profile resemblance was found (0.46 ≤ ρ ≤ 0.55). In conclusion, youth health-related markers present substantial differences linked with their body composition, physical fitness and unhealthy diet. Furthermore, only father socio-demographic characteristics were associated with profile membership. Sibling´s profile resemblance mirrors the effects of genetics and shared characteristics.

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A multilevel analysis of health-related physical fitness. The Portuguese sibling study on growth, fitness, lifestyle and health

Cited by 11 publications

References 66 publications

Aptidão cardiorrespiratória em crianças e adolescentes

Aptidão cardiorrespiratória em crianças e adolescentes

Can waist circumference provide a new “third” dimension to BMI when predicting percentage body fat in children? Insights using allometric modelling

Profile Resemblance in Health-Related Markers: The Portuguese Sibling Study on Growth, Fitness, Lifestyle, and Health

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