Associations between nutrition, energy expenditure and energy availability with bone mass acquisition in dance students: a 3-year longitudinal study.

Three years of study showed that female and male vocational dancers displayed lower bone mass compared to controls, at forearm, lumbar spine and femoral neck. Energy intake was found to positively predict bone mass accruals only in female dancers at femoral neck. Vocational dancers can be a risk population to develop osteoporosis. PURPOSE: To determine whether risk factors normally associated with low bone mass in athletic populations (i.e. nutrition intake, energy expenditure and energy availability) are significant predictors of bone mass changes in vocational dance students. METHODS: The total of 101 vocational dancers (63 females, 12.8 ± 2.2 years; 38 males, 12.7 ± 2.2 years) and 115 age-matched controls (68 females, 13.0 ± 2.1 years; 47 males, 13.0 ± 1.8 years) were monitored for 3 consecutive years. Bone mass parameters were measured annually at impact sites (femoral neck, FN; lumber spine, LS) and non-impact site (forearm) using DXA. Nutrition (3-day record), energy expenditure (accelerometer), energy availability and IGF-1 serum concentration (immunoradiometric assays) were also assessed. RESULTS: Female and male vocational dancers had consistently reduced bone mass at all anatomical sites (p < 0.001) than controls. IGF-1 did not differ between male vocational dancers and controls, but female dancers showed it higher than controls. At baseline, calcium intake was significantly greater in female vocational dancers than controls (p < 0.05). Male vocational dancers' fat and carbohydrate intakes were significantly lower than matched controls (p < 0.001 and p < 0.05, respectively). Energy availability of both female and male vocational dancers was within the normal range. A significant group effect was found at the FN regarding energy intake (p < 0.05) in female dancers. No significant predictors were found to explain bone mass differences in males. CONCLUSION: Our 3-year study revealed that both female and male vocational dancers displayed lower bone mass compared to controls, at both impact and non-impact sites. The aetiology of these findings may be grounded on factors different than those usually considered in athletic populations.

A multilevel analysis of gross motor coordination of children and adolescents living at different altitudes: the Peruvian Health and Optimist Growth Study.

BACKGROUND: Gross motor coordination (GMC) is a potential correlate of lifestyle behaviours and health outcomes in childhood and adolescence. AIMS: The aim of this study was to examine how sex, age, biological maturation, overweight, stunting, and physical fitness are associated with GMC in children and adolescents from Peru, and to examine associations between geographical area of residence, school-level characteristics, and GMC. SUBJECTS AND METHODS: The sample included 7408 subjects, aged 6-14 years, from sea level, Amazon and high-altitude regions of Peru. A composite marker of total coordination was derived by the sum of scores from each test (GMCT). Overweight was identified using BMI, and biological maturation, physical fitness, and stunting were assessed. School characteristics were obtained via an objective audit. RESULTS: Boys (ß = 12.23 ± 0.90) and older children (ß = 13.37 ± 0.64) had higher GMCT than girls and younger children, respectively. Overweight was associated with lower GMCT (ß = -5.23 ± 0.80), whereas fitness was positively associated with GMCT (ß = 6.30 ± 0.25). Biological maturation was not a predictor; however, stunting was negatively associated with GMCT (ß = -3.71 ± 1.56). Subjects living in the Amazon had higher GMCT than those at sea level (ß = 16.57 ± 4.73). Five of nine school-level predictors (number of students, playground area with obstacles, multi-sports roofed, frequency and duration of Physical Education classes) were significant predictors of GMCT. CONCLUSIONS: Child- and school-level variables were significantly associated with GMCT in this sample. These findings are important for the Peruvian community, especially school principals, councils and physical education teachers, helping them to define more efficient strategies and action plans to increase motor coordination in children.

A multivariate multilevel analysis of youth motor competence. The Peruvian Health and Optimist Growth Study.

We use a multivariate multilevel model to study the links between physical fitness (PF) and gross motor coordination (GMC) and investigate the influence of predictors affecting their levels across age. We sampled 7918 Peruvians, aged 6-15 years, from sea-level, Amazon region and high-altitude. Composite markers of GMC and PF were derived (GMCz and PFz , respectively). BMI, biological maturation, and stunting were assessed. School characteristics were obtained via an objective audit. School contexts explained 35% of the associations between PFz and GMCz , whereas children's characteristics explained 65% of the total variation. On average, with increasing age, there was a greater increase in GMCz (ß = 0.79 ± 0.04, P < .001) than in PFz (ß = 0.15 ± 0.03, P < .001); boys outperformed girls (PFz , ß = 3.25 ± 0.08, P < .001; GMCz , ß = 1.58 ± 0.09, P < .001); those with lower BMI and ahead in their maturation had higher PFz (ß = -0.13 ± 0.01, P < .001; ß = 1.09 ± 0.05, P < .001, respectively) and GMCz (ß = -0.18 ± 0.01, P < .001; ß = 0.39 ± 0.06, P < .001, respectively) levels. Stunting was negatively related to PFz (ß = -0.30 ± 0.07; P < .001) and GMCz (ß = -0.30 ± 0.08, P < .001) and high-altitude Peruvians had significantly lower GMCz (ß = -0.93 ± 0.33, P < .001), and those living in the Amazon region had significantly higher PFz (ß = 1.21 ± 0.58, P < .001) compared to those living at sea level. A higher number of students was negatively related to PFz (ß = -0.016 ± 0.006, P < .001) and positively with GMCz (ß = 0.005 ± 0.003, P < .001); the duration of physical education classes was positively associated with PFz (ß = 0.70 ± 0.32, P < .001) and GMCz (ß = 0.46 ± 0.15, P < .001); and the existence of policies for physical activity was only negatively associated with GMCz (ß = -1.17 ± 0.34, P < .001). In conclusion, PFz and GMCz were positively correlated and child- and school-level traits predicted their levels.

Modelling the dynamics of children's gross motor coordination.

This study modelled children's gross motor coordination, investigated sex-differences and identified the effects of fixed and dynamic correlates on motor coordination development. A total of 344 Portuguese children (170 girls), from 6 age cohorts (5 to 9 years of age), were followed consecutively for three years (age range 5 to 11 years) using a mixed-longitudinal cohort design. Birth weight, hand dominance and socioeconomic status (SES) were identified. Gross motor coordination, body mass index, physical fitness (PF) and physical activity (PA) were assessed annually. A sequence of multilevel hierarchical linear models were developed. Model 1 found that age, age2, sex, sex-by-age and sex-by-age2 were significant predictors (p < 0.05) of gross motor coordination. Boys outperformed girls from 6 years of age onwards. Model 2 found a cohort effect (p < 0.05). Model 3 found that right handers were more coordinated (p < 0.05). When the confounders of body mass index, PF and PA were added to the model (Model 4) it was found that boys and girls had parallel trajectories in their gross motor coordination development. In conclusion children with increasing body mass index were less coordinated, while those who were stronger and more agile had steeper trajectories of gross motor coordination with age.

Association between breakfast frequency and physical activity and sedentary time: a cross-sectional study in children from 12 countries.

BACKGROUND: Existing research has documented inconsistent findings for the associations among breakfast frequency, physical activity (PA), and sedentary time in children. The primary aim of this study was to examine the associations among breakfast frequency and objectively-measured PA and sedentary time in a sample of children from 12 countries representing a wide range of human development, economic development and inequality. The secondary aim was to examine interactions of these associations between study sites. METHODS: This multinational, cross-sectional study included 6228 children aged 9-11 years from the 12 International Study of Childhood Obesity, Lifestyle and the Environment sites. Multilevel statistical models were used to examine associations between self-reported habitual breakfast frequency defined using three categories (breakfast consumed 0 to 2 days/week [rare], 3 to 5 days/week [occasional] or 6 to 7 days/week [frequent]) or two categories (breakfast consumed less than daily or daily) and accelerometry-derived PA and sedentary time during the morning (wake time to 1200 h) and afternoon (1200 h to bed time) with study site included as an interaction term. Model covariates included age, sex, highest parental education, body mass index z-score, and accelerometer waking wear time. RESULTS: Participants averaged 60 (s.d. 25) min/day in moderate-to-vigorous PA (MVPA), 315 (s.d. 53) min/day in light PA and 513 (s.d. 69) min/day sedentary. Controlling for covariates, breakfast frequency was not significantly associated with total daily or afternoon PA and sedentary time. For the morning, frequent breakfast consumption was associated with a higher proportion of time in MVPA (0.3%), higher proportion of time in light PA (1.0%) and lower min/day and proportion of time sedentary (3.4 min/day and 1.3%) than rare breakfast consumption (all p ≤ 0.05). No significant associations were found when comparing occasional with rare or frequent breakfast consumption, or daily with less than daily breakfast consumption. Very few significant interactions with study site were found. CONCLUSIONS: In this multinational sample of children, frequent breakfast consumption was associated with higher MVPA and light PA time and lower sedentary time in the morning when compared with rare breakfast consumption, although the small magnitude of the associations may lack clinical relevance. TRIAL REGISTRATION: The International Study of Childhood Obesity, Lifestyle and the Environment (ISCOLE) is registered at (Identifier NCT01722500 ).

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

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.

Motor performance, body fatness and environmental factors in preschool children.

The first aim of this study was to investigate the relationship between motor performance and body fatness among 3- to 5-year-old children. The second aim was to assess whether this relationship works similarly for boys and girls. We also investigated whether socioeconomic status (SES) and geographical area when children are aged 3 years old predicts the motor performance of 4 and 5-yr-old children. Motor performance was assessed through the Preschool Test Battery, while body fatness was estimated through body mass index (BMI). SES and geographical area were assessed via parent proxy-report questionnaires. BMI was negatively associated with standing long jump. The association of BMI and motor performance was not statistically different for boys and girls. Children from low SES performed better than high SES peers in tennis ball throw for distance. Rural children were better performers than urban peers in standing long jump. Rural area at baseline was also predictor of standing long jump and tennis ball throw for distance at time 1 and 2. In conclusion, BMI had a negative association with standing long jump and the relationship of BMI with all motor tests was similar for boys and girls. SES and rural area were predictors of motor performance.

Familial resemblance in gross motor coordination. The Peruvian Sibling Study on Growth and Health.

BACKGROUND: The development of gross motor coordination (GMC) is governed by biological and environmental factors whose effect sizes are still unclear. AIM: To investigate sibling resemblance in GMC, as well as biological and environmental correlates of GMC among Peruvian children. MATERIALS AND METHODS: The sample comprised 1256 biological siblings (6-15 years old), from three geographical areas of Peru. GMC was assessed using the Korperkoordinationtest für Kinder (KTK) test battery. Anthropometry, biological maturation and physical fitness (PF) were also measured. Multilevel modelling was performed using Stata 14 software. RESULTS: In general, sister-sister pairs (SS) showed the highest resemblance in GMC (ρ = 0.24) compared to brother-sister (BS) (ρ = 0.10) and brother-brother (BB) pairs (ρ = 0.07). On average, BB pairs had higher GMC than SS pairs and older siblings had higher GMC than younger siblings. Further, those with lower body mass index (BMI) and higher PF had higher GMC. There was also a significant interaction between age and PF with GMC. Siblings from the rainforest region demonstrated higher GMC than those from sea level and high-altitude siblings demonstrated lower GMC than their sea-level peers. CONCLUSION: These results demonstrate statistically significant sibling resemblance in GMC. Age, BMI, PF and geographical area were significant correlates of GMC.

Biological and environmental determinants of 12-minute run performance in youth.

BACKGROUND: The 12-minute run is a commonly used indicator of cardiorespiratory fitness in youth. Variation in growth and maturity status as potential correlates of test performance has not been systematically addressed. AIM: To evaluate biological and environmental determinants of 12-minute run performance in Portuguese youth aged 7-17 years. SUBJECTS AND METHODS: Mixed-longitudinal samples of 187 boys and 142 girls were surveyed in 1996, 1997 and 1998. The 12-minute run was the indicator of cardiorespiratory fitness. Height, body mass and five skinfolds were measured and skeletal maturity was assessed. Physical activity, socioeconomic status and area of residence were obtained with a questionnaire. Multi-level modelling was used for the analysis. RESULTS: Chronological age and sum of five skinfolds were significant predictors of 12-minute run performance. Older boys and girls ran longer distances than younger peers, while high levels of subcutaneous fat were associated with shorter running distances. Rural boys were more proficient in the 12-minute run than urban peers. Skeletal maturity, height, body mass index, physical activity and socioeconomic status were not significant predictors of 12-minute run performances. CONCLUSIONS: Age and sum of skinfolds in both sexes and rural residence in boys are significant predictors of 12-minute run performance in Portuguese youth.

Associations of neighborhood social environment attributes and physical activity among 9-11 year old children from 12 countries.

We investigated whether associations of neighborhood social environment attributes and physical activity differed among 12 countries and levels of economic development using World Bank classification (low/lower-middle-, upper-middle- and high- income countries) among 9-11 year old children (N=6161) from the International Study of Childhood Obesity, Lifestyle, and the Environment (ISCOLE). Collective efficacy and perceived crime were obtained via parental/guardian report. Moderate-to-vigorous physical activity (MVPA) was assessed with waist-worn Actigraph accelerometers. Neighborhood environment by country interactions were tested using multi-level statistical models, adjusted for covariates. Effect estimates were reported by country and pooled estimates calculated across World Bank classifications for economic development using meta-analyses and forest plots. Associations between social environment attributes and MVPA varied among countries and levels of economic development. Associations were more consistent and in the hypothesized directions among countries with higher levels economic development, but less so among countries with lower levels of economic development.

Socioeconomic status and dietary patterns in children from around the world: different associations by levels of country human development?

BACKGROUND: Although 'unhealthy' diet is a well-known risk factor for non-communicable diseases, its relationship with socio-economic status (SES) has not been fully investigated. Moreover, the available research has largely been conducted in countries at high levels of human development. This is the first study to examine relationships among dietary patterns and SES of children from countries spanning a wide range of human development. METHODS: This was a multinational cross-sectional study among 9-11 year-old children (n = 6808) from urban/peri-urban sites across 12 countries. Self-reported food frequency questionnaires were used to determine the children's dietary patterns. Principal Components Analysis was employed to create two component scores representing 'unhealthy' and 'healthy' dietary patterns. Multilevel models accounting for clustering at the school and site level were used to examine the relationships among dietary patterns and SES. RESULTS: The mean age of participants in this study (53.7% girls) was 10.4 years. Largest proportions of total variance in dietary patterns occurred at the individual, site, and school levels (individual, school, site: 62.8%; 10.8%; 26.4% for unhealthy diet pattern (UDP) and 88.9%; 3.7%; 7.4%) for healthy diet pattern (HDP) respectively. There were significant negative 'unhealthy' diet-SES gradients in 7 countries and positive 'healthy' diet-SES gradients in 5. Within country diet-SES gradients did not significantly differ by HDI. Compared to participants in the highest SES groups, unhealthy diet pattern scores were significantly higher among those in the lowest within-country SES groups in 8 countries: odds ratios for Australia (2.69; 95% CI: 1.33-5.42), Canada (4.09; 95% CI: 2.02-8.27), Finland (2.82; 95% CI: 1.27-6.22), USA (4.31; 95% CI: 2.20-8.45), Portugal (2.09; 95% CI: 1.06-4.11), South Africa (2.77; 95% CI: 1.22-6.28), India (1.88; 95% CI: 1.12-3.15) and Kenya (3.35; 95% CI: 1.91-5.87). CONCLUSIONS: This study provides evidence of diet-SES gradients across all levels of human development and that lower within-country SES is strongly related to unhealthy dietary patterns. Consistency in within-country diet-SES gradients suggest that interventions and public health strategies aimed at improving dietary patterns among children may be similarly employed globally. However, future studies should seek to replicate these findings in more representative samples extended to more rural representation.

Correlates of health-related quality of life in young-old and old-old community-dwelling older adults.

PURPOSE: This study aimed (1) to examine the role of potential correlates of HRQoL in a large representative sample of older adults, and (2) to investigate whether the relationships between HRQoL and potential factors differ as a function of HRQoL component (physical vs. mental) and/or age cohort (young-old vs. old-old). METHODS: This cross-sectional study included 802 older adults aged 60-79 years old. HRQoL was assessed using the SF-36 questionnaire. Functional fitness was assessed using the Senior Fitness Test. Physical activity was measured via the Baecke questionnaire. Demographic information, mental and health features were obtained through questionnaires. RESULTS: A multiple regression analysis showed that BMI (ß = -0.15, p = 0.001), body strength (ß = 0.21, p < 0.001), aerobic endurance (ß = 0.29, p < 0.001), physical activity (ß = 0.11, p = 0.007), depressive symptoms (ß = -0.19, p < 0.001), falls (ß = -0.19, p < 0.001), and living alone (ß = -0.16, p < 0.001) were all significantly related to HRQoL-SF-36 total score. The positive relation with aerobic endurance was significantly higher for the physical component of HRQoL, while the negative relation with living alone was significantly higher for the mental component. The positive relation of HRQoL with physical activity was significantly higher in old-old compared to young-old adults. CONCLUSION: This data suggest that body composition, functional fitness, psycho-social factors, and falls are important correlates of HRQoL in old age. There are HRQoL-component and age-cohort differences regarding these correlates, underlying the need for specific strategies at the community level to promote HRQoL in older adults.

Multilevel modelling of somatotype components: the Portuguese sibling study on growth, fitness, lifestyle and health.

BACKGROUND: Somatotype is a complex trait influenced by different genetic and environmental factors as well as by other covariates whose effects are still unclear. AIMS: To (1) estimate siblings' resemblance in their general somatotype; (2) identify sib-pair (brother-brother (BB), sister-sister (SS), brother-sister (BS)) similarities in individual somatotype components; (3) examine the degree to which between and within variances differ among sib-ships; and (4) investigate the effects of physical activity (PA) and family socioeconomic status (SES) on these relationships. SUBJECTS AND METHODS: The sample comprises 1058 Portuguese siblings (538 females) aged 9-20 years. Somatotype was calculated using the Health-Carter method, while PA and SES information was obtained by questionnaire. Multi-level modelling was done in SuperMix software. RESULTS: Older subjects showed the lowest values for endomorphy and mesomorphy, but the highest values for ectomorphy; and more physically active subjects showed the highest values for mesomorphy. In general, the familiality of somatotype was moderate (ρ = 0.35). Same-sex siblings had the strongest resemblance (endomorphy: ρSS > ρBB > ρBS; mesomorphy: ρBB = ρSS > ρBS; ectomorphy: ρBB > ρSS > ρBS). For the ectomorphy and mesomorphy components, BS pairs showed the highest between sib-ship variance, but the lowest within sib-ship variance; while for endomorphy BS showed the lowest between and within sib-ship variances. CONCLUSIONS: These results highlight the significant familial effects on somatotype and the complexity of the role of familial resemblance in explaining variance in somatotypes.

Household-level correlates of children's physical activity levels in and across 12 countries.

OBJECTIVE: Household factors (electronic media equipment, play equipment, physical activity in the home, and social support) have been associated with childhood moderate- to vigorous-intensity physical activity (MVPA), but little is known about how these factors differ across diverse countries. The objective was to explore household correlates of objective MVPA in children from 12 countries. METHODS: Overall, 5,859 nine- to eleven-year-old children from 12 countries representing a range of human and socioeconomic development indicators wore an accelerometer for 7 days and parents reported on household factors. Multilevel general linear models explored associations among household factors and MVPA variables controlling for age, sex, and parental education. RESULTS: Across sites, children with at least one piece of bedroom electronic media had lower MVPA (∼4 min/day; P < 0.001) than those who did not. More frequent physical activity in the home and yard, ownership of more frequently used play equipment, and higher social support for physical activity were associated with more MVPA (all P < 0.001). The association between play equipment ownership and MVPA was inconsistent across countries (interaction P < 0.01). CONCLUSIONS: With the exception of play equipment ownership, modifiable household factors showed largely consistent and important associations with MVPA across high-, mid-, and low-income countries.

Are BMI and Sedentariness Correlated? A Multilevel Study in Children.

The purpose of this research was to investigate the relationship between body mass index (BMI) and sedentariness (Sed) in children and to examine the influence of child and school correlates on their variation. The sample comprises 580 children (337 girls, 9-11 years). Sedentariness was assessed with an accelerometer, and BMI was computed. Child- and school-level covariates were analyzed using multilevel models. No significant correlation between Sed and BMI was found. School context explains 5% and 1.5% of the total variance in Sed and BMI, respectively. At the child level, only moderate-to-vigorous physical activity was associated with both Sed (ß = -0.02 ± 0.002) and BMI (ß = -0.005 ± 0.002). Sleep time is related to Sed (ß = -0.42 ± 0.04), while sex (ß = 1.97 ± 0.13), biological maturity (ß = 1.25 ± 0.07), media in the bedroom (ß = 0.26 ± 0.08) and healthy (ß = -0.09 ± 0.03) and unhealthy (ß = -0.07 ± 0.04) diet scores were associated with BMI. None of the school-level covariates were related to BMI, but access to cafeteria (ß = -0.97 ± 0.25), playground equipment (ß = -0.67 ± 0.20) and restaurants (ß = 0.16 ± 0.08) were related to Sed. In conclusion, Sed and BMI were not correlated. Further, they have different correlates, while children's traits seem to play more relevant roles in their differences in Sed and BMI than the school milieu. This information should be taken into account when strategies to reduce Sed and BMI are implemented.

Correlates of Total Sedentary Time and Screen Time in 9-11 Year-Old Children around the World: The International Study of Childhood Obesity, Lifestyle and the Environment.

PURPOSE: Previously, studies examining correlates of sedentary behavior have been limited by small sample size, restricted geographic area, and little socio-cultural variability. Further, few studies have examined correlates of total sedentary time (SED) and screen time (ST) in the same population. This study aimed to investigate correlates of SED and ST in children around the world. METHODS: The sample included 5,844 children (45.6% boys, mean age = 10.4 years) from study sites in Australia, Brazil, Canada, China, Colombia, Finland, India, Kenya, Portugal, South Africa, the United Kingdom, and the United States. Child- and parent-reported behavioral, household, and neighborhood characteristics and directly measured anthropometric and accelerometer data were obtained. Twenty-one potential correlates of SED and ST were examined using multilevel models, adjusting for sex, age, and highest parental education, with school and study site as random effects. Variables that were moderately associated with SED and/or ST in univariate analyses (p<0.10) were included in the final models. Variables that remained significant in the final models (p<0.05) were considered correlates of SED and/or ST. RESULTS: Children averaged 8.6 hours of daily SED, and 54.2% of children failed to meet ST guidelines. In all study sites, boys reported higher ST, were less likely to meet ST guidelines, and had higher BMI z-scores than girls. In 9 of 12 sites, girls engaged in significantly more SED than boys. Common correlates of higher SED and ST included poor weight status, not meeting physical activity guidelines, and having a TV or a computer in the bedroom. CONCLUSIONS: In this global sample many common correlates of SED and ST were identified, some of which are easily modifiable (e.g., removing TV from the bedroom), and others that may require more intense behavioral interventions (e.g., increasing physical activity). Future work should incorporate these findings into the development of culturally meaningful public health messages.

Listening Comprehension Assessment: Validity Studies of Two Vertically Scaled Tests for Portuguese Students / Evaluación de la Comprensión del Lenguaje Oral: Estudios de Validez de Dos Tests con Escalamiento Común para Alumnos Portugueses

This study aims to gather construct- and criterion-related validity evidence for the Test of Listening Comprehension of Narrative Texts (TLC-n) and the Test of Listening Comprehension of Expository Texts (TLC-e), each composed of a vertically scaled form for Portuguese students from the first to fourth grades of primary school. A sample of 1342 students and a sample of 1168 students participated in the study of the TLC-n and TLC-e forms' dimensionality, respectively. Two hundred and eighty students participated in the criterion-related validity study of the tests. Confirmatory factorial analyses were performed for the study of the test forms' dimensionality. To collect criterion-related validity evidence, Pearson correlations with measures oflistening and reading related skills were calculated. Results provide evidence of an acceptable fit for the one-factor solution, for all forms, and statistically significant correlations between the test forms and the external criteria measures. There is evidence for the validity of the test forms.

Los objetivos de este trabajo fueron recoger evidencia de validez de constructo y de criterio para dos tests, el Test of Listening Comprehension of Narrative Texts (TLC-n) y el Test of listening Comprehension of Expository Texts (TLC-e), con cuatro versiones escaladas verticalmente para evaluar la comprensión oral de los alumnos portugueses de enseñanza primaria. Una muestra de 1342 alumnos y una muestra de 1168 alumnos participaron en el estudio de la dimensionalidad del TLC-n y TLC-e. Participaron 260 alumnos en el estudio de validez de criterio de los tests. La dimensionalidad de los tests se examinó mediante un procedimiento de análisis factorial confirmatorio. Para recoger datos sobre evidencia de validez de criterio, se calcularon las correlaciones de Pearson con otras pruebas de comprensión oral y de lectura. Los resultados revelaron que el modelo de un factor se ajusta a los datos. Se obtuvieron coeficientes de correlación estadísticamente significativos entre el TLC-n y TLC-e y los otros tests. Los resultados apoyan la validez de las versiones de los tests.

Multilevel analyses of school and children's characteristics associated with physical activity.

BACKGROUND: Children spend most of their awake time at school, and it is important to identify individual and school-level correlates of their physical activity (PA) levels. This study aimed to identify the between-school variability in Portuguese children PA and to investigate student and school PA correlates using multilevel modeling. METHODS: The sample included 1075 Portuguese children of both sexes, aged 6-10 years, from 24 schools. Height and weight were measured and body mass index (BMI) was estimated. Physical activity was estimated using the Godin and Shephard questionnaire (total PA score was used); cardiorespiratory fitness was estimated with the 1-mile run/walk test. A structured inventory was used to access information about the school environment. A multilevel analysis (level-1: student-level; level-2: school-level) was used. RESULTS: Student-level variables (age, sex, 1-mile run/walk test) explained 7% of the 64% variance fraction of the individual-level PA; however, school context explained approximately 36% of the total PA variance. Variables included in the model (school size, school setting, playground area, frequency and duration of physical education class, and qualification of physical education teacher) are responsible for 80% of the context variance. CONCLUSIONS: School environment is an important correlate of PA among children, enhancing children's opportunities for being active and healthy.

Assessment of fatigue thresholds in 50-m all-out swimming.

CONTEXT: It is essential to determine swimmers' anaerobic potential and better plan training, understanding physiological effects of the fatigue. PURPOSE: To study changes in the characteristics of the intracyclic velocity variation during an all-out 50-m swim and to observe differences in speed and stroking parameters between these changes. METHODS: 28 competitive swimmers performed a 50-m front-crawl all-out test while attached to a speedometer. The velocity-time (v[t]) curve off all stroke cycles was analyzed per individual using a routine that included a wavelet procedure, allowing the determination of the fatigue thresholds that divide effort in time intervals. RESULTS: One or 2 fatigue thresholds were observed at individual level on the v(t) curve. In males, when 1 fatigue threshold was identified, the mean velocity and the stroke index dropped (P < .05) in the second time interval (1.7 ± 0.0 vs 1.6 ± 0.0 m/s and 3.0 ± 0.2 vs 2.8 ± 0.3 m/s, respectively). When 2 fatigue thresholds were identified, the mean velocity of the first time interval was higher than that of the third time interval (P < .05), for both male (1.7 ± 0.0 vs 1.6 ± 0.1 m/s) and female (1.5 ± 0.1 vs 1.3 ± 0.1 m/s) swimmers. CONCLUSION: One or 2 fatigue thresholds were found in the intracyclic velocity-variation patterns. Concurrently, changes in velocity and stroke parameters were also observed between time intervals. This information could allow coaches to obtain new insights into delaying the degenerative effects of fatigue and maintain stable stroke-cycle characteristics over a 50-m event.

Genotype by energy expenditure interaction with metabolic syndrome traits: the Portuguese healthy family study.

Moderate-to-high levels of physical activity are established as preventive factors in metabolic syndrome development. However, there is variability in the phenotypic expression of metabolic syndrome under distinct physical activity conditions. In the present study we applied a Genotype X Environment interaction method to examine the presence of GxEE interaction in the phenotypic expression of metabolic syndrome. A total of 958 subjects, from 294 families of The Portuguese Healthy Family study, were included in the analysis. Total daily energy expenditure was assessed using a 3 day physical activity diary. Six metabolic syndrome related traits, including waist circumference, systolic blood pressure, glucose, HDL cholesterol, total cholesterol and triglycerides, were measured and adjusted for age and sex. GxEE examination was performed on SOLAR 4.3.1. All metabolic syndrome indicators were significantly heritable. The GxEE interaction model fitted the data better than the polygenic model (p<0.001) for waist circumference, systolic blood pressure, glucose, total cholesterol and triglycerides. For waist circumference, glucose, total cholesterol and triglycerides, the significant GxEE interaction was due to rejection of the variance homogeneity hypothesis. For waist circumference and glucose, GxEE was also significant by the rejection of the genetic correlation hypothesis. The results showed that metabolic syndrome traits expression is significantly influenced by the interaction established between total daily energy expenditure and genotypes. Physical activity may be considered an environmental variable that promotes metabolic differences between individuals that are distinctively active.