Home About us Contact
|
Home About us Contact | ||
|
|
||
High Blood Cholesterol (high + blood_cholesterol)
Selected AbstractsPrevalence of metabolic syndrome and its association with obesity indices in a Chinese populationJOURNAL OF DIABETES, Issue 1 2009Yun HUANG Abstract Background:, To investigate the prevalence of metabolic syndrome in an urbanizing community in Qingpu, a suburb of Shanghai, and to determine which obesity indices, including body mass index, waist circumference (WC), and waist:hip (WHpR), and waist:height (WHtR) ratios, are most closely associated with metabolic syndrome. Methods:, We conducted a cross-sectional health survey of 1634 individuals (age 15,87 years) in the Jinhulu community located in Qingpu. The National Cholesterol Education Program Expert Panel on Detection, Evaluation, and Treatment of High Blood Cholesterol in Adults (NCEP ATP III) criteria were used to define metabolic syndrome, with central obesity defined according to Asia,Pacific (APC) region criteria. Results:, The age-standardized prevalence of metabolic syndrome was 3.6% in men and 7.2% in women. Using the criterion of central obesity in the APC, the age-standardized prevalence of metabolic syndrome increased to 8.3% in men and 10.9% in women. Regardless of age, WHtR consistently showed a higher odd ratios (OR) after adjustment for confounding factors of 2.17 (95% confidence interval [CI] 1.12,4.20; P = 0.022) in subjects<52 years of age and 1.92 (95% CI 1.18,3.11; P = 0.008) in those ,52 years of age. In men, the WHtR was the only significant predictor (OR 2.42; 95% CI 1.15,5.08; P = 0.02) of metabolic syndrome after adjustment, whereas in women WHtR (OR 1.87; 95% CI 1.37,2.85; P =0.0088) was slightly inferior to WHpR and WC. Conclusion:, Metabolic syndrome is prevalent in an urbanizing rural area in Qingpu. Of the anthropometric parameters commonly used to identify metabolic syndrome, WHtR may be the best. [source] Obesity and metabolic syndrome in Brazilian patients with bipolar disorderACTA NEUROPSYCHIATRICA, Issue 2 2009Karla Mathias De Almeida Objective: We aimed to determine the prevalence of obesity and metabolic syndrome (O/MetS) in a sample of Brazilian outpatients with bipolar disorder. Methods: Eighty-four patients with bipolar disorder were evaluated. We used the definition of MetS established in the Third Report of the National Cholesterol Education Program Expert Panel on Detection, Evaluation and Treatment of High Blood Cholesterol in Adults, modified by the American Heart Association (AHA). Patients were classified as obese if their body mass index (BMI) was , 30 kg/m2. Results: We found that 28.6% of our sample met the AHA criteria for MetS and 35.7% were obese. The percentage of patients meeting each criterion of the AHA was as follows: 46% for abdominal obesity; 44% for hypertriglyceridemia or cholesterol-lowering medication use; 26% for low high-density lipoprotein cholesterol or being on a lipid-lowering medication; 45% for hypertension; and 20% for high fasting glucose or anti-diabetic medication use. Conclusions: The prevalence of obesity in our sample of outpatients with bipolar disorder was higher than that observed for the general population of Brazil. The rate of MetS was similar to that observed for the general population. Our data indicate the need for prevention, early detection and treatment of O/MetS in patients with bipolar disorder. [source] Obesity and obesity-related secondary conditions in adolescents with intellectual/developmental disabilitiesJOURNAL OF INTELLECTUAL DISABILITY RESEARCH, Issue 9 2010J. H. Rimmer Abstract Background To explore the prevalence of obesity and related secondary conditions associated with obesity in adolescents with intellectual/developmental disabilities (IDD). Methods In total, 461 parents of adolescents with IDD (M = 14.9 year, SD = 1.9) across 49 US states completed a web-based survey containing questions related to their child's health status, including body weight and existing health conditions. Results were compared with published data for youth without disabilities. Results Adolescents with autism and Down syndrome were two to three times more likely to be obese than adolescents in the general population. Secondary health conditions were higher in obese adolescents with IDD compared with healthy weight adolescents with IDD including high blood pressure, high blood cholesterol, diabetes, depression, fatigue, liver or gallbladder problems, low self-esteem, preoccupation with weight, early maturation and pressure sores. Conclusion Obesity is as much of a health problem in youth with IDD as it is among youth without disabilities and, in certain disability groups, is a significantly greater health problem. Obese youth with IDD have a high number of obesity-related secondary conditions predisposing them to greater health problems as they transition into adulthood. Federal and local initiatives to reduce obesity among youth in the general population must recognise the need for interventions that are also relevant (i.e. accessible and effective) for youth with IDD. [source] Mapping solutions to obesity: lessons from the Human Genome ProjectAUSTRALIAN AND NEW ZEALAND JOURNAL OF PUBLIC HEALTH, Issue 6 2008Catriona M. F. Bonfiglioli Abstract Objective: To discuss appropriate endpoints for research designed to prevent obesity. Research investigating practical solutions to the complex multi-factorial global obesity epidemic may be stalled by undue emphasis on reduced body weight as the only acceptable endpoint. Approach: Considering prevention research in cardiovascular disease and tobacco control, we contend that investigations of intermediate endpoints make an important contribution to the multi-faceted approach needed to combat the complex problem of obesity. Conclusion: Intermediate endpoints are respected in other public health areas: reductions in risk factors such as high blood cholesterol or smoking are acceptable study endpoints for research aimed at reducing heart disease or lung cancer. Likewise, practical endpoints can be valuable in studies investigating interventions to reduce identified and potential intermediate risk factors for obesity, such as soft drink consumption. Implications: Reduced obesity is the global aim but obesity is not caused by one exposure and will not be solved by a single modality intervention. A wider debate about endpoint selection may assist research which identifies individual building blocks of obesity prevention in the same way as individual gene mapping contributed to the Human Genome Project. [source] | ||||||||||