Submaximal power output and body fatness have been measured in 1307 subjects recruited from 375 families coming from an area of 80 km around Quebec city. Total energy, carbohydrate, sugar, fat, saturated fat and alcohol intakes were calculated from a 3-day dietary record. The association between dietary intakes and the indicators of physical fitness was studied in adults (n=727) and children (n=580) of both sexes. Correlation analyses with residuals of age performed in each generation and sex subsample showed that body fatness is significantly but negatively associated with all intakes (−0.16≤r≤−0.50), with the exception of alcohol intake. On the other hand, multiple correlations of all intakes on submaximal power output range from 0.26 to 0.30 in adults, and from 0.20 to 0.24 in children. These observations suggest that submaximal power output is less related to energy intakes and that the association tends to be slightly more important in adults than in children. These data support the contention that physical fitness is determined by the genotype and the habitual energy expenditure and to a lesser degree by the nutritional habits.
A modification of the Åstrand (1960) nomogram procedure was applied to Canadian Home Fitness Test data obtained on 13,258 subjects, ages 15 to 69 years, during the 1981 Canada Fitness Survey. Norms were developed to allow an empirical five-level categorization of aerobic fitness, based on the attained rate of stepping and the recovery pulse count 5 to 15 s following exercise. Because of uncertainties regarding the net mechanical efficiency of stepping and the selective recruitment of fit older subjects, the apparent rate of aerobic fitness decrease with aging was no more than half of that seen in laboratory measurements, and the sex differential at any given age (about 25%) was larger than expected. The new approach thus does not claim a high level of accuracy for the predicted peak MET values. Nevertheless, it has an inherent advantage over the equation of Jetté et al. (1976) in that it takes more direct account of variations in pulse count when categorizing fitness. Moreover, there is no artificial ceiling that limits scores for very fit subjects. Tests are now needed to assess the accuracy of the proposed fitness categorizations relative to laboratory determinations of maximal oxygen intake. Key words: aerobic fitness norms, Åstrand nomogram. Jetté equation, step testing, MET values
To assess perceptions of fitness, intensity and frequency of habitual physical activity as predictors of cardiovascular function, metabolic health and obesity.Cross-sectional correlational, with covariance adjustment of data for age and socio-economic status.An urban community of some 250,000 people.Convenience sample of healthy but relatively sedentary subjects, 172 males and 178 females aged 14-68 years.Self-reports of perceived fitness, habitual activity, intensity and frequency of exercise; standard laboratory tests of cardiovascular function (resting heart rate, PWC 150/kg, systolic and diastolic blood pressure), metabolic health (blood glucose, total cholesterol, HDL-cholesterol, triglycerides and uric acid), obesity (body mass index, skinfolds, hydrostatic body fat, and abdominal circumferences) and socio-economic status (education, job classification and income).In men, the strongest associations of fitness markers were with peer comparisons of fitness and activity. In women, such comparisons also yielded significant positive associations, but the most consistent relationships of fitness were with Godin questionnaire ratings of sweat-inducing and frequent heavy activity. Perceptions of intense activity were associated more with cardiovascular than with metabolic health. Perceptions of frequent activity (peer activity ratings, occupational walking, and the number of activities reported) were associated with control of body fat, and to a lesser extent with cardiovascular function, but were unrelated to markers of metabolic health.Perceptions of personal fitness, intensity and frequency of habitual activity are all associated with markers of health-related fitness after allowance for effects of gender, age and socio-economic status. The public should thus be encouraged to pursue activity that they perceive as frequent, intense and improving their fitness.
No abstract is provided for this article.
No abstract is provided for this article.
No abstract is provided for this article.
Interest in a single gene etiology for obesity, as assessed by the body mass index (BMI), has been spurred recently by reports of a putative recessive major gene for extreme values, which accounts for as much as 40% of the variance. The major gene hypothesis was evaluated here in the Québec Family Study, a random sample of 375 French‐Canadian volunteer families. This report represents one component in a more complete investigation of obesity in these families. In contrast to the recent studies, a major gene hypothesis for BMI was not verified here. Although there was a major effect, it did not conform to a Mendelian pattern of transmission. A multifactorial component (i.e., polygenic and/or common environmental factors) accounted for 42% of the phenotypic variance. In addition, evidence of heterogeneity between the generations was found. The heterogeneity was traced to the major non‐Mendelian component (which accounted for 0.01% of the variance in parents and over 40% in offspring) rather than to the multifactorial one. These results would suggest that a simple recessive gene mixed model may not be sufficient to explain the familial distribution of the BMI. Several factors which may have contributed to these results include temporal trends and surrogate effects such as those related to variation in body composition and energy balance components. (OBESITY RESEARCH 1993; 1:288–294)