Parental Education and Genetics of BMI from Infancy to Old Age: A Pooled Analysis of 29 Twin Cohorts

OBJECTIVE

The objective of this study was to analyze how parental education modifies the genetic and environmental variances of BMI from infancy to old age in three geographic-cultural regions.

METHODS

A pooled sample of 29 cohorts including 143,499 twin individuals with information on parental education and BMI from age 1 to 79 years (299,201 BMI measures) was analyzed by genetic twin modeling.

RESULTS

Until 4 years of age, parental education was not consistently associated with BMI. Thereafter, higher parental education level was associated with lower BMI in males and females. Total and additive genetic variances of BMI were smaller in the offspring of highly educated parents than in those whose parents had low education levels. Especially in North American and Australian children, environmental factors shared by co-twins also contributed to the higher BMI variation in the low education level category. In Europe and East Asia, the associations of parental education with mean BMI and BMI variance were weaker than in North America and Australia.

CONCLUSIONS

Lower parental education level is associated with higher mean BMI and larger genetic variance of BMI after early childhood, especially in the obesogenic macro-environment. The interplay among genetic predisposition, childhood social environment, and macro-social context is important for socioeconomic differences in BMI.

Skeletal maturation, fundamental motor skills, and motor performance in preschool children

Relationships among skeletal age (SA), body size and fundamental motor skills (FMS) and motor performance were considered in 155 boys and 159 girls 3-6 years of age. Stature and body mass were measured. SA of the hand-wrist was assessed with the Tanner-Whitehouse II 20 bone method. The Test of Gross Motor Development, 2nd edition (TGMD-2), and the Preschool Test Battery were used, respectively, to assess FMS and motor performance. Based on hierarchical regression analyses, the standardized residuals of SA on chronological age (SAsr) explained a maximum of 6.1% of the variance in FMS and motor performance in boys (ΔR² ₃ , range 0.0%-6.1%) and a maximum of 20.4% of the variance in girls (ΔR² ₃ , range 0.0%-20.4%) over that explained by body size and interactions of SAsr with body size (step 3). The interactions of the SAsr and stature and body mass (step 2) explained a maximum of 28.3% of the variance in boys (ΔR² ₂ , range 0.5%-28.3%) and 16.7% of the variance in girls (ΔR² ₂ , range 0.7%-16.7%) over that explained by body size alone. With the exception of balance, relationships among SAsr and FMS or motor performance differed between boys and girls. Overall, SA per se or interacting with body size had a relatively small influence in FMS and motor performance in children 3-6 years of age.

Resemblance in physical activity levels: The Portuguese sibling study on growth, fitness, lifestyle, and health

OBJECTIVES

To investigate the relationships of biological, behavioral, familial, and environmental characteristics with siblings´ physical activity (PA) levels as well as the intrapair resemblance in PA.

METHODS

The sample comprises 834 (390 females) biological siblings [brother-brother (BB), sister-sister (SS), brother-sister (BS)] aged 9 to 20 years. Total PA index (TPAI) was estimated by questionnaire. Information on potential behavioral, familial, and environmental correlates was obtained by self-report; body mass index (BMI), biological maturation, and physical fitness were measured. Multilevel models were used to analyze siblings´ clustered data, and sibling resemblance was estimated with the intraclass correlation (ρ).

RESULTS

On average, younger sibs, those more physically fit, and those with more parental support had greater TPAI. Further, BB pairs had higher TPAI levels than SS or BS pairs, but also had greater within-pair variance. When adjusted for all covariates, SS pairs demonstrated greater resemblance in TPAI (ρ = 0.53, 95%CI = 0.38-0.68) than BS (ρ = 0.26, 95%CI = 0.14-0.43) or BB pairs (ρ = 0.18, 95%CI = 0.06-0.44).

CONCLUSIONS

Age, physical fitness, and parental support were the best predictors of TPAI levels. A moderate level of resemblance in TPAI was observed in SS pairs, while lower resemblance was found for BS and BB pairs. These findings may be due to differences in the roles of shared genetic factors, familial, and environmental characteristics across different sibling types.

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 (β = -0.15, p = 0.001), body strength (β = 0.21, p < 0.001), aerobic endurance (β = 0.29, p < 0.001), physical activity (β = 0.11, p = 0.007), depressive symptoms (β = -0.19, p < 0.001), falls (β = -0.19, p < 0.001), and living alone (β = -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.

Change, stability and prediction of gross motor co-ordination in Portuguese children

BACKGROUND

The knowledge about intra- and inter-individual variation can stimulate attempts at description, interpretation and prediction of motor co-ordination (MC).

AIM

To analyse change, stability and prediction of motor co-ordination (MC) in children.

SUBJECTS AND METHODS

A total of 158 children, 83 boys and 75 girls, aged 6, 7 and 8 years, were evaluated in 2006 and re-evaluated in 2012 at 12, 13 and 14 years of age. MC was assessed through the Kiphard-Schilling's body co-ordination test and growth, skeletal maturity, physical fitness, fundamental motor skills (FMS), physical activity and socioeconomic status (SES) were measured and/or estimated.

RESULTS

Repeated-measures MANOVA indicated that there was a significant effect of group, sex and time on a linear combination of the MC tests. Univariate tests revealed that group 3 (8-14 years) scored significantly better than group 1 (6-12 years) in all MC tests and boys performed better than girls in hopping for height and moving sideways. Scores in MC were also higher at follow-up than at baseline. Inter-age correlations for MC were between 0.15-0.74. Childhood predictors of MC were growth, physical fitness, FMS, physical activity and SES. Biological maturation did not contribute to prediction of MC.

CONCLUSION

MC seemed moderately stable from childhood through adolescence and, additionally, inter-individual predictors at adolescence were growth, FMS, physical fitness, physical activity and SES.

Confirmatory factorial analysis of the children´s attraction to physical activity scale (capa)

AIM

Attraction to physical activity (PA) is an important contributor to children´s intrinsic motivation to engage in games, and sports. Previous studies have supported the utility of the children´s attraction to PA scale (CAPA) (Brustad, 1996) but the validity of this measure for use in Portugal has not been established. The purpose of this study was to cross-validate the shorter version of the CAPA scale in the Portuguese cultural context.

METHODS

A sample of 342 children (8--10 years of age) was used. Confirmatory factor analyses using EQS software ( version 6.1) tested t hree competing measurement models: a single--factor model, a five factor model, and a second order factor model.

RESULTS

The single--factor model and the second order model showed a poor fit to the data. It was found that a five-factor model similar to the original one revealed good fit to the data (S--B χ 2 (67) =94.27,p=0.02; NNFI=0.93; CFI=0.95; RMSEA=0.04; 90%CI=0.02;0.05).

CONCLUSIONS

The results indicated that the CAPA scale is valid and appropriate for use in the Portuguese cultural context. The availability of a valid scale to evaluate attraction to PA at schools should provide improved opportunities for better assessment and understanding of children´s involvement in PA.

Genetic influences of sports participation in Portuguese families

To estimate familial aggregation and quantify the genetic and environmental contribution to the phenotypic variation on sports participation (SP) among Portuguese families. The sample consisted of 2375 nuclear families (parents and two offspring each) from different regions of Portugal with a total of 9500 subjects. SP assessment was based on a psychometrically established questionnaire. Phenotypes used were based on the participation in sports (yes/no), intensity of sport, weekly amount of time in SP and the proportion of the year in which a sport was regularly played. Familial correlations were calculated using family correlations (FCOR) in the SAGE software. Heritability was estimated using variance-components methods implemented in Sequential Oligogenic Linkage Analysis Routines (SOLAR) software. Subjects of the same generation tend to be more similar in their SP habits than the subjects of different generations. In all SP phenotypes studied, adjusted for the effects of multiple covariates, the proportion of phenotypic variance due to additive genetic factors ranged between 40% and 50%. The proportion of variance attributable to environmental factors ranged from 50% for the participation in sports to 60% for intensity of sport. In this large population-based family study, there was significant familial aggregation on SP. These results highlight that the variation on SP phenotypes have a significant genetic contribution although environmental factors are also important in the familial resemblance of SP.

Validation and factorial invariance of children's attraction to physical activity (CAPA) scale in Portugal

The Children's Attraction to Physical Activity (CAPA) scale assesses interest in and attraction to the physical activity (PA) of children of elementary school age. The original (25 items) and shorter versions (15 items) of the scale were developed and validated with American children. The purpose of this study was to cross-validate the shorter version of the CAPA scale for use with Portuguese schoolchildren and to examine the invariance of the multidimensional factor structure of the scale in two samples. The sample comprised 683 children (7-10 years) from public primary schools. The sample was divided into calibration and cross-validation samples. The scale was translated into Portuguese and underwent forward translation, synthesis of the translation and backward translation and was then subjected to expert committee review, pretest and reliability assessment. Internal consistency for each of the five subscales within the a priori 5-factor structure of the CAPA scale was evaluated through Cronbach's alpha, followed by a series of confirmatory factor analyses (CFAs) for both the calibration and cross-validation samples. The maximum likelihood robust estimation method was used. The CFA demonstrated that a 5-factor structural model of the Portuguese translation of the CAPA scale was invariant. The construct analysed had the same basic meaning and structural and item differences within the two samples. The results indicated that the CAPA scale is appropriate for use with Portuguese schoolchildren. The availability of a valid and reliable scale should enhance opportunities for further understanding of children's involvement in PA.

Psychosocial correlates of physical activity in school children aged 8-10 years

BACKGROUND

Understanding correlates of physical activity (PA) among children in different populations may contribute to fostering active lifestyles. This study considered gender differences in relationships between biologic (body mass index, BMI), demographic (socioeconomic sport status, SES) and psychosocial correlates of PA and level of PA in Portuguese primary school children.

METHODS

683 children, aged 8-10 years, from 20 different elementary schools in northern Portugal were surveyed. Weight status was classified using International Obesity Task Force (IOTF) criteria for the BMI. Family SES was estimated from school records. PA level and psychosocial correlates (attraction to PA, perceived physical competence and parental socialization) were obtained with interview and standardized questionnaires, respectively. Sex-specific hierarchical multiple regression analyses (SPSS 18.0) were conducted and included two blocks of predictor variables (biologic and demographic, and psychosocial).

RESULTS

Level of PA was significantly higher in boys than girls. Enjoyment of participation in vigorous PA was positively associated with level of PA. Perceived acceptance by peers in games and sports and parental encouragement were positively and significantly related to PA in girls. Perceived physical competence was positively and significantly related to PA in boys. Weight status and SES were not associated with PA.

CONCLUSIONS

Boys and girls differed in perceived attractiveness of PA and perceived physical competence, both of which influenced level of PA. Differences in perceptions may be important aspects of motivation for PA in school children.

Prediction of adult height in girls: the Beunen-Malina-Freitas method

The purpose of this study was to validate and cross-validate the Beunen-Malina-Freitas method for non-invasive prediction of adult height in girls. A sample of 420 girls aged 10-15 years from the Madeira Growth Study were measured at yearly intervals and then 8 years later. Anthropometric dimensions (lengths, breadths, circumferences, and skinfolds) were measured; skeletal age was assessed using the Tanner-Whitehouse 3 method and menarcheal status (present or absent) was recorded. Adult height was measured and predicted using stepwise, forward, and maximum R (2) regression techniques. Multiple correlations, mean differences, standard errors of prediction, and error boundaries were calculated. A sample of the Leuven Longitudinal Twin Study was used to cross-validate the regressions. Age-specific coefficients of determination (R (2)) between predicted and measured adult height varied between 0.57 and 0.96, while standard errors of prediction varied between 1.1 and 3.9 cm. The cross-validation confirmed the validity of the Beunen-Malina-Freitas method in girls aged 12-15 years, but at lower ages the cross-validation was less consistent. We conclude that the Beunen-Malina-Freitas method is valid for the prediction of adult height in girls aged 12-15 years. It is applicable to European populations or populations of European ancestry.

Functional fitness and bone mineral density in the elderly

Bone quality has been associated with genetic factors and several environmental influences. This study suggests that although functional fitness should be considered in clinical assessments of bone health, body composition appears to have a higher relevance in the explanation of bone health/strength in older people.

PURPOSE

This study aims to describe the association between functional fitness (FF), other constitutive factors, and bone health/strength in a large community-dwelling sample of elderly active Portuguese.

METHODS

This cross-sectional study included 401 males and 401 females aged 60-79 years old. Bone mineral density (BMD) of the total body, lumbar spine (LS), and hip region was determined by dual-energy X-ray absorptiometry (DXA). In addition, femur strength index (FSI) was determined. FF was assessed using the Senior Fitness Test. Demographic information and a health history were obtained by telephone interview through questionnaire.

RESULTS

Aerobic endurance and body strength were positively related with hip BMD region in males (0.10 < r < 0.16; p < 0.01-0.05) and females (0.13 < r < 0.28; p < 0.01). No significant correlation was found between any FF test and LS BMD, except for upper-body strength in females. After controlling for other constitutive predictors (sex, age, height, body mass (BM), total fat mass (TFM), and total lean tissue mass (TLTM)), FF had a minor contribution only in prediction of BMD at multisites and FSI. The total explained variance for all determinants was moderate (R² = 0.35 for femoral neck (FN) BMD, R² = 0.27 for LS BMD, R² = 0.49 total body BMD, and R² = 0.22 for FSI).

CONCLUSIONS

Sex, age, height, BM, TLTM, and TFM entered as the most significant contributors for BMD and FSI. Although FF parameters are typically considered in clinical assessments of bone health/strength in older people, body composition appears to have a higher relevance in the explanation of BMD and strength.

Correlates of physical activity in Portuguese adolescents from 10 to 18 years

This study examined the association between demographic [age, sex, socioeconomic status (SES)] and socio-cultural [father, mother, sibling physical activity (PA); peers and physical education teacher influences] correlates and low, moderate and high levels of PA among Portuguese adolescents aged 10-18 years. A total of 3352 males and females attending basic and secondary schools, their parents and siblings were sampled across four regions of Portugal. PA was assessed with a psychometrically validated questionnaire. Multinomial logistic regression was used. Age was positively related with moderate and high PA. Boys and adolescents of high SES were more likely to participate in moderate and high PA. Adolescents were more likely to participate in high PA when theirs mother and sibling(s) also participated. Peers had a positive influence on participation in moderate and high PA, while physical education teachers did not have an influence. The results indicated that demographic and socio-cultural correlates--in particular age, sex, SES, mother and sibling PA, and peer influence--were significantly associated with adolescent PA. These results also suggested that interventions should focus on girls and low SES adolescents who face higher risk of inactivity.

Cross-validation of the Beunen-Malina method to predict adult height

The purpose of this study was to cross-validate the Beunen-Malina method for non-invasive prediction of adult height. Three hundred and eight boys aged 13, 14, 15 and 16 years from the Madeira Growth Study were observed at annual intervals in 1996, 1997 and 1998 and re-measured 7-8 years later. Height, sitting height and the triceps and subscapular skinfolds were measured; skeletal age was assessed using the Tanner-Whitehouse 2 method. Adult height was measured and predicted using the Beunen-Malina method. Maturity groups were classified using relative skeletal age (skeletal age minus chronological age). Pearson correlations, mean differences and standard errors of estimate (SEE) were calculated. Age-specific correlations between predicted and measured adult height vary between 0.70 and 0.85, while age-specific SEE varies between 3.3 and 4.7 cm. The correlations and SEE are similar to those obtained in the development of the original Beunen-Malina method. The Beunen-Malina method is a valid method to predict adult height in adolescent boys and can be used in European populations or populations from European ancestry. Percentage of predicted adult height is a non-invasive valid method to assess biological maturity.

Longitudinal Study in 3,000 m Male Runners: Relationship between Performance and Selected Physiological Parameters

The purpose of the present study was to analyze longitudinal changes in 3,000 m running performance and the relationship with selected physiological parameters. Eighteen well-trained male middle-distance runners were measured six times (x3 per year) throughout two consecutive competitive seasons. The following parameters were measured on each occasion: maximal oxygen uptake (VO2max), running economy (RE), velocity at maximal oxygen uptake (vVO2max), velocity at 4mmol L(-1) blood lactate concentration (V4), and performance velocity (km·h(-1)) in 3,000 m time trials. Values ranged from 19.59 to 20.16 km·h(-1), running performance; 197 to 207 mL·kg(-1)·km(-1). RE; 17.2 to 17.7 km·h(-1), V4; 67.1 to 72.5 mL·kg(-1)·min(-1), VO2max; and 19.8 to 20.2 km·h(-1), vVO2max. A hierarchical linear model was used to quantify longitudinal relationships between running performance and selected physiological variables. Running performance decreased significantly over time, between each time point the decrease in running velocity was 0.06 km·h(-1). The variables that significantly explained performance changes were V4 and vVO2max. Also, vVO2max and V4 were the measures most strongly correlated with performance and can be used to predict 3,000 m race velocity. The best prediction formula for 3,000 m running performance was: y = 0.646 + 0.626x + 0.416z (R(2)=0.85); where y = V3,000 m velocity (km·h(-1)), x = V4 (km·h(-1)) and z = vVO2max (km·h(-1)). The high predictive power of vVO2max and V4 suggest that both coaches and athletes should give attention to improving these two physiological variables, in order to improve running performance. Key pointsV4 and vVO2max are the most important physiological variables to explain longitudinal changes in 3000 m running performance;3000 m running performance prediction is better if one uses both V4 and vVO2max in the same formula: y = 0.646 + 0.626x + 0.416z; R(2)=0.85, where y is the Vrace (km/h), x is V4 (km/h) and z is vVO2max (km/h).The V4 and vVO2max can be used for training control purposes.

Determinantes biológicos e sócio-culturais associados à prática de atividade física de adolescentes

A atividade física é um comportamento importante na promoção de saúde e na prevenção de doenças. Para que se desenvolvam programas eficazes no incentivo à prática de atividade física em adolescentes, torna-se necessário que se identifiquem os fatores que a determinam. Este estudo pretende rever alguns dos aspectos do estado atual do conhecimento acerca da influência de determinantes demográfico-biológicos (idade, sexo, estatuto sócio-econômico) e sócio-culturais (família, pares e professor de educação física) na atividade física de adolescentes. Nesta revisão apenas foram incluídos estudos efetuados com amostras superiores a 100 adolescentes com idades entre os 10 e os 18 anos, que tenham adotado delineamentos de pesquisa transversal e que tenham utilizado questionários. Os principais resultados e conclusões foram que: a idade parece estar negativamente associada à atividade física; o sexo masculino tende a estar mais envolvido nessas atividades; o estatuto sócio-econômico elevado parece ser um fator protetor do risco de inatividade física; a participação da família e dos pares em atividades físicas parece estar positivamente associada às atividades por parte dos adolescentes; o professor de educação física parece não representar um fator propiciador da atividade física.

Associations between sport participation, demographic and socio-cultural factors in Portuguese children and adolescents

BACKGROUND

The number of studies that focus on factors influencing the sport participation (SP) of children and adolescents is limited. The present study examines the associations between demographic [age, gender and socio-economic status (SES)] and socio-cultural factors (SP of family, and peers and physical educator influences) and the SP of children and adolescents.

METHODS

A random sample of 3352 Portuguese children/adolescents, 10-18 years, their parents and siblings was surveyed. The assessment of SP was based on a psychometrically established questionnaire. Multivariable logistic regression was used in data analysis.

RESULTS

(i) age was not related to children/adolescent's SP; (ii) children/adolescents with high SES (OR:1.7, 95%CI:1.4-2.2) and medium SES (OR:1.4, 95%CI:1.1-1.7) were more involved in sports; (iii) children/adolescents were more likely to participate in sports when their family also participate; (iv) boys were more likely to participate in sports than girls (adjusted OR:3.3, 95%CI:2.8-3.9 from a main effects model), but mother's SP influenced their daughters and sons differently. Daughters showed a greater propensity for practising sports when their mothers did (OR:2.5; 95%CI:1.7-3.6). For sons, sports involvement was similar whether or not their mothers participated (OR:1.1; 95%CI:0.7-1.7); (v) peers had a positive influence on the participants' SP (OR:2.2, 95%CI:1.9-2.7); (vi) after adjusting for other factors, the influence of a physical education teacher was not found to affect the SP of the children/adolescents.

CONCLUSION

There are important demographic and socio-cultural influences on the SP of children/adolescents-in particular, gender, SES, family members' SP and peer influence.

Tracking of physical fitness during adolescence: a panel study in boys

PURPOSE

To investigate the tracking in physical fitness (PF) viewed as a whole, a multidimensional trait of the subject, and to establish the stability of each factor of PF in adolescence from the perspective of a panel study using the structural equation modeling approach.

METHODS

From a sample of 454 boys followed from 12 to 18 yr of age of the Leuven Growth Study, we considered only three consecutive measurement occasions with a mean age of 12.76, 14.69, and 17.73 yr. Physical fitness was evaluated by means of a battery composed of the following tests: plate tapping, sit and reach, vertical jump, arm pull, leg lifts, bent arm hang, and shuttle run. Structural equation models were fitted to the data, namely autoregressive models with latent variables. These models were used to quantify the tracking of PF as a whole and also of the individual marker variables of fitness.

RESULTS

Stability estimates of PF as a whole are rather high, beta21 = 0.86 and beta32 = 0.68, with an explained variance of 74% and 73%, respectively. Tracking coefficients represented by disattenuated autocorrelations among the fitness factor gave high results: r1,2 = 0.86; r1,3 = 0.78; and r2,3 = 0.85.

CONCLUSIONS

Physical fitness as a whole is highly stable in adolescent years and very predictable from early years. The same is observed for each factor of fitness. Moreover, autoregressive models within the context of structural equation modeling are better suited than simple Pearson or Spearman autocorrelations to study the tracking problem of PF.