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Query: UMLS:C0028754 (obesity)
 124,988 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

To study the maturation processes during puberty, the Task Force on Adolescent Reproductive Health of the World Health Organization implemented a multicenter study on the age of menarche. From seven centers in six countries, 3,073 girls between the ages of 11 and 15 years volunteered for a two-year study. The girls were questioned at entry as to whether they had menstruated; social background data were recorded, and height and weight were measured. The median age for menarche was calculated by a life-table technique. The median ages were: Hong Kong-12 years, 9 months; Geneva, Switzerland-13 years, 1 month; Zafed, Israel and Stockholm, Sweden-13 years, 3 months; urban Colombo, Sri Lanka-13 years, 6 months; Ile-Ife, Nigeria-13 years, 9 months; and rural Peradeniya, Sri Lanka-14 years, 5 months. Menarche of the rural Peradeniya girls was later than the urban girls from Colombo and other study centers. The mean heights, weights, and obesity indices (Quetelet's Index) were higher in postmenarcheal girls compared to premenarcheal girls for each age at all centers.
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PMID:World Health Organization multicenter study on menstrual and ovulatory patterns in adolescent girls. I. A multicenter cross-sectional study of menarche. World Health Organization Task Force on Adolescent Reproductive Health. 372 45

Specific dietary patterns are associated with the risk of chronic disease. An in-depth understanding more reflective of lifestyle would be possible when assessing the synergistic effects of both diet and physical activity in pattern analysis. In the present study, we examined the biochemical markers of dysglycaemia and cardiometabolic risk in relation to lifestyle patterns using principal component analysis (PCA). Urban women (n 2800) aged 30-45 years were screened for dysglycaemia using cluster sampling from the Colombo Municipal Council area. All the 272 dysglycaemic women detected through screening and 345 randomly selected normoglycaemic women were enrolled. The International Physical Activity Questionnaire and a quantitative FFQ were used to assess physical activity and diet, respectively. Anthropometric measurements, bioelectrical impedance analysis and biochemical estimations were carried out. Lifestyle patterns were identified based on dietary and physical activity data using exploratory factor analysis. PCA was used for the extraction of factors. A total of three lifestyle patterns were identified. Women who were predominantly physically inactive and consumed snacks and dairy products had the greatest cardiometabolic risk, with a higher likelihood of having unfavourable obesity indices (increased waist circumference, fat mass percentage and BMI and decreased fat-free mass percentage), glycaemic indices (increased glycosylated Hb (HbA1c) and fasting blood sugar concentrations) and lipid profile (increased total cholesterol/TAG and decreased HDL-cholesterol concentrations) and increased high-sensitivity C-reactive protein concentrations. For the first time, we report lifestyle patterns and demonstrate the synergistic effects of physical activity/inactivity and diet and their relative association with cardiometabolic risk in urban women. Lifestyle pattern analysis greatly increases our understanding of high-risk behaviours occurring within real-life complexities.
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PMID:Lifestyle patterns and dysglycaemic risk in urban Sri Lankan women. 2520 4

This study analyzed the prevalence and sociodemographic factors associated to the isolated and combined presence of elevated anthropometric indices among children. A cross-sectional study was performed with 2,035 children (aged 6-11 years, 50.1% of girls) who were randomly selected in schools from Colombo, Brazil. Body Mass Index (BMI), Waist Circumference (WC) and Waist-to-Height Ratio (WHtR) were classified using reference values. Age, gender, type of school, shift, and residence area were potential risk factors. Binary logistic regression was used (p < 0.05). The prevalence of children with isolated presence of elevated BMI, WHtR or WC was observed in 9.4% (confidence interval [CI] of 95%: 3.3; 15.7), 8.7% (CI 95%: 1.7; 15.9) and 4.4% (CI 95%: 1.0; 7.9), 8.7% of children, respectively. The presence of one or more elevated anthropometric index was observed in 16.9% (CI 95%: 5.4; 28.5) of children. Boys (BMI), younger children (WC) and children from public schools (BMI, WC or WHtR) were high-risk subgroups to the isolated presence of elevated anthropometric indices. Children from public schools and rural areas were high-risk subgroup to the combined presence of elevated anthropometric indices. In conclusion, Public policies to combat childhood obesity may be more effective whether they targeted at children from public schools and rural areas.
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PMID:Isolated and combined presence of elevated anthropometric indices in children: prevalence and sociodemographic correlates. 2681 78