Familial Resemblance in Eating Behaviors in Men and Women from the Quebec Family Study
Référence bibliographique 
Provencher, Véronique, Pérusse, Louis, Bouchard, Luigi, Drapeau, Vicky, Bouchard, Claude, Rice, Treva, Rao, D. C., Tremblay, Angelo, Després, Jean-Pierre et Lemieux, Simone. 2005. «Familial Resemblance in Eating Behaviors in Men and Women from the Quebec Family Study ». Obesity Research, vol. 13, no 9, p. 1624-1629.
Intentions : « It is commonly recognized that genetic, environmental, behavioral, and social factors are involved in the development of obesity. The family environment may play a key role in shaping children’s eating behaviors. The purpose of this study was to estimate the degree of familial resemblance in eating behavioral traits (cognitive dietary restraint, disinhibition, and susceptibility to hunger). » (p. 1624)
Échantillon/Matériau : « 282 men and 402 women (202 families) from the Quebec Family Study. » (p. 1624)
Instruments : « Eating behavioral traits were assessed with the Three-Factor Eating Questionnaire [...] » (p. 1624)
Type de traitement des données : Analyse statistique
« The pattern of familial correlation showed significant spouse correlation for the three eating behavior phenotypes, as well as significant parent-offspring and sibling correlations for disinhibition and susceptibility to hunger. According to the most parsimonious model, generalized heritability estimates (including genetic and shared familial environmental effects) reached 6%, 18%, and 28% for cognitive dietary restraint, disinhibition, and susceptibility to hunger, respectively. [...] These results suggest that there is a significant familial component to eating behavioral traits but that the additive genetic component appears to be small, with generalized heritability estimates ranging from 6% to 28%. Thus, non-familial environmental factors and gene-gene and gene-environmental interactions seem to be the major determinants of the eating/behavioral traits. » (p. 1624)
Familial Aggregation of Physical Activity Levels in the Quebec Family Study
Référence bibliographique 
Simonen, Riita L., Pérusse, Louis, Rankinen, Tuomo, Rice, Treva, Rao, D. C. et Bouchard, Claude. 2002. «Familial Aggregation of Physical Activity Levels in the Quebec Family Study ». Medicine & Science in Sports & Exercise, vol. 34, no 7, p. 1137-1142.
Intentions : « Thus, the aim of this study was to further investigate the issue of familial resemblance for degree of inactivity, habitual physical activity level, and exercise participation using four phenotypes. » (p. 1137)
Échantillon/Matériau : « A total of 200 families with 696 members » (p. 1137)
Instruments : - Un journal quotidien - Un questionnaire
Type de traitement des données : Analyse de contenu et analyse statistique
« Purpose: Familial aggregation of physical activity phenotypes was investigated in 696 subjects from 200 families of the Quebec Family Study. The mean age of offspring and parents was 27 and 53 yr, respectively. Methods: The levels of physical activity were estimated using a 3-d diary and a questionnaire dealing with physical activity during the past year. Results: An ANOVA performed on the age and sex adjusted physical activity phenotypes revealed that there were 1.40-1.52 times more variation in physical activity levels between families than within families (0.001 < P < 0.0001), suggesting that physical activity levels aggregate in families. Maximal heritabilities (SEGPATH), adjusted for the degree of spouse resemblance, reached 25%, 16%, 19%, and 17% for the degree of inactivity, time spent in moderate to strenuous physical activities, total level of daily activity, and weekly time spent in the main activity during the previous year, respectively. Conclusion: These results suggest that physical activity level is characterized by a significant degree of familial resemblance, and that inactivity has a slightly higher heritability level than moderate to strenuous physical activity or total physical activity phenotypes. The pattern of familial correlations suggests that shared familial environmental factors along with genetic factors are also important in accounting for the familial resemblance in physical activity level. » (p. 1137)
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)