PubMed · 16175071
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Karol R Smith. 2005. Exercise can help control body changes during menopause.. https://pubmed.ncbi.nlm.nih.gov/16175071/
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CONTEXT: There is debate over the independent and combined effects of dieting and increased physical activity on improving metabolic risk factors (body composition and fat distribution). OBJECTIVE: The objective of the study was to conduct a randomized, controlled trial (CALERIE) to test the effect of a 25% energy deficit by diet alone or diet plus exercise for 6 months on body composition and fat distribution. DESIGN: This was a randomized, controlled trial. SETTING: The study was conducted at an institutional research center. PARTICIPANTS: Thirty-five of 36 overweight but otherwise healthy participants (16 males, 19 females) completed the study. INTERVENTION: Participants were randomized to either control (healthy weight maintenance diet, n = 11), caloric restriction (CR; 25% reduction in energy intake, n = 12), or caloric restriction plus exercise (CR+EX; 12.5% reduction in energy intake + 12.5% increase in exercise energy expenditure, n = 12) for 6 months. MAIN OUTCOME MEASURES: Changes in body composition by dual-energy x-ray absorptiometry and changes in abdominal fat distribution by multislice computed tomography were measured. RESULTS: The calculated energy deficit across the intervention was not different between CR and CR+EX. Participants lost approximately 10% of body weight (CR: - 8.3 +/- 0.8, CR+EX: - 8.1 +/- 0.8 kg, P = 1.00), approximately 24% of fat mass (CR: - 5.8 +/- 0.6, CR+EX: - 6.4 +/- 0.6 kg, P = 0.99), and 27% of abdominal visceral fat (CR: 0.9 +/- 0.2, CR+EX: 0.8 +/- 0.2 kg, P = 1.00). Both whole-body and abdominal fat distribution were not altered by the intervention. CONCLUSION: Exercise plays an equivalent role to CR in terms of energy balance; however, it can also improve aerobic fitness, which has other important cardiovascular and metabolic implications.
BACKGROUND: Obesity is becoming a serious public health issue and is related to lung dysfunction. Because both weight and height are indicators of body size, body mass index (BMI) may not be an ideal index of obesity in prediction of pulmonary dysfunction. OBJECTIVE: The objective of the study was to determine the predictability of waist circumference (WC) and BMI for pulmonary function in adults with and without excess body weight. DESIGN: A cross-sectional study of 1674 adults aged > or = 18 y was conducted in a rural community. Height, weight, WC, and pulmonary function were measured. Multivariate analysis was conducted. RESULTS: WC was negatively associated with forced vital capacity and forced expiratory volume in 1 s, and the associations were consistent across sex, age, and BMI categories. On average, a 1-cm increase in WC was associated with a 13-mL reduction in forced vital capacity and an 11-mL reduction in forced expiratory volume in 1 s. The association between WC and pulmonary function was consistent in subjects with normal weight, overweight, and obesity. In subjects with normal weight, BMI was positively associated with forced vital capacity and forced expiratory volume in 1 s. CONCLUSION: WC, but not BMI, is negatively and consistently associated with pulmonary function in normal-weight, overweight, and obese subjects.
OBJECTIVE: To assess the gender-specific prevalence and determinants of abdominal obesity (AO) within the population and lifestyle diversity of an urban district in Sri Lanka. METHODS: Prevalence of AO (defined by waist circumference) was estimated in a cross-sectional study of 1400 adults aged 20-64, residing in the district of Colombo in 2004. Demographic, socio-economic and lifestyle factors were assessed in gender-specific logistic regression models to identify determinants of AO. RESULTS: Prevalence of AO was 44.7% (95% confidence interval (CI): 41.0, 48.5) in females and 25.7% (95% CI: 22.6, 29.0) in males. Significant determinants of AO were age 35-49 (adjusted odds ratio: 1.7; 95% CI: 1.2, 2.5), moderately urban sector (1.9; 1.3, 2.9) and insufficient level of physical activity (1.7; 1.1, 2.4) among females in contrast to household income >Rupees 10,000 (6.1; 2.7, 13.5), increased alcohol (medium: 1.9; 1.2, 2.9; high: 2.1; 1.2, 3.5), low-fiber diet (1.6; 1.1, 2.4) and frequent large meals (1.7; 1.0, 2.8) among males. Determinants common to males (M) and females (F) were age >or=50 years (M: 2.5; 1.5, 4.2 and F: 2.9; 1.9, 4.4), most urban sector (M: 2.0; 1.3, 3.1 and F: 1.8; 1.2, 2.7) and married status (M: 2.2; 1.3, 3.6 and F: 2.4; 1.6, 3.6). CONCLUSIONS: A distinct gender differential was observed in the prevalence and determinants of AO. It appears vital that preventive strategies of AO be developed to be more 'gender-sensitive' in urban districts.