Prediction of Physical Activity and Physical Work Capacity (PWC150) in Young Adulthood From Childhood and Adolescence With Consideration of Parental Measures
Référence bibliographique 
Campbell, Peter T., Katzmarzyk, Peter T., Malina, Robert M., Rao, D. C., Pérusse, Louis et Bouchard, Claude. 2001. «Prediction of Physical Activity and Physical Work Capacity (PWC150) in Young Adulthood From Childhood and Adolescence With Consideration of Parental Measures ». American Journal of Human Biology, vol. 13, no 2, p. 190-196.
Intentions : « The purpose of the present study is to evaluate the stability of physical activity level and submaximal aerobic power from childhood and adolescence into young adulthood. The contribution of parental measures to predicting young adulthood physical activity and fitness status is also estimated. » (p. 191)
Échantillon/Matériau : Les données de la Québec Family Study
Type de traitement des données : Analyse statistique
« The 12-year prediction of physical activity level and submaximal aerobic fitness observed during young adulthood was quantified from childhood and parental measures. The sample consisted of 153 children and adolescents of the Québec Family Study who were evaluated at baseline and reassessed 12 years later, as young adults. Physical work capacity at a heart rate of 150 beats · min-1 (PWC150) was measured using cycle ergometry. A 3-day activity record was used to estimate daily energy expenditure (DEE), inactive time (IA), and time spent in moderate-to-vigorous activity (MVPA). Spearman partial inter-age correlations, controlling for length of follow-up and age at baseline, indicated better tracking for PWC150 (0.24 and 0.46, males and females, respectively) than for indicators of physical activity (0.07 r 0.25, males; 0.06 r 0.22, females). Multiple regression analyses indicated that parental measurements of activity and PWC150 did not add any predictive value, with the exception of paternal DEE, which accounted for 8% of the variance in males. There is moderately high stability of submaximal work capacity and lower tracking of physical activity from childhood and adolescence into young adulthood. » (p. 190)
Familial resemblance in fatness and fat distribution
Référence bibliographique 
Katzmarzyk, Peter T., Malina, Robert M., Pérusse, Louis, Rice, Treva, Province, Michael A., Rao, D. C. et Bouchard, Claude. 2000. «Familial resemblance in fatness and fat distribution ». American Journal of Human Biology, vol. 12, no 3, p. 395-404.
Intentions : « The purpose of the present study was to estimate the degree of familial resemblance in anthropometric indicators of fatness and fat distribution. » (p. 396)
Échantillon/Matériau : A total of 327 Caucasian participants from 102 nuclear families.
Instruments : A field anthropometer, a standing spring scale, a Holtain caliper, a Grafco flexible fiberglass tape.
Type de traitement des données : Analyse de contenu
« The purpose of the study was to estimate the degree of familial resemblance in anthropometric indicators of fatness and fat distribution. The sample consisted of 327 Caucasian participants from 102 nuclear families. Indicators of fatness included the body mass index (BMI), the sum of six skinfolds (SF6 : triceps + biceps + medial calf + subscapular + suprailiac + abdominal), and waist circumference (WAIST), while indicators of fat distribution included WAIST adjusted for BMI (WAIST(ADJ)), the trunk-to-extremity skinfold ratio, adjusted for SF6 (TERADJ), and the first principal component of skinfolds, adjusted for the mean skinfold of the individual (PC1). A general familial correlation model was fit to the data, and a series of nested reduced models were also fit so as to test hypotheses about familial resemblance. The hypothesis of no familial resemblance (all familial correlations are zero) was rejected for all phenotypes, indicating that fatness and fat distribution aggregate within families. For the three indicators of fatness (BMI, SF6, and WAIST), the sibling and parent-offspring correlations were significant. Further, there were no sex or generation differences in the familial correlations. For the three indicators of fat distribution (TERADJ, WAIST(ADJ), and PC1), there was no parent-offspring resemblance; sibling resemblance- was significant for TERADJ, and PC1. Further, spouse resemblance was not significant for WAIST(ADJ) but was for TERADJ and PC1. For both WAIST(ADJ) and PC1 there were significant sex differences in the familial correlations. A combination of models including no sex or generation differences and no spouse resemblance was the most parsimonious model for BMI, SF6, and TERADJ. The environmental model tall correlations equal) was the most parsimonious for WAIST, the model of no sibling resemblance was the mast parsimonious for WAIST(ADJ), and the model of no spousal resemblance was the most parsimonious for PC1. Estimates of maximal heritability range from 46-60% for fatness; and from 29-48% for fat distribution, independent of overall fatness, suggesting that in this sample the heritability of fatness is greater than that for fat distribution. Further, the pattern of correlations, which generally includes no spousal resemblance but significant parent offspring and sibling correlations, suggests the role of genes in explaining at least part of the heritability. (C) 2000 Wiley-Liss, Inc. » (p. 395)