886 resultados para Body-Mass-Index
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OBJECTIVE: To investigate the relationships between isokinetic knee flexor and extensor muscle strength and physiological and chronological age in young soccer players. MATERIAL AND METHODS: Seventy-nine young, healthy, male soccer players (mean+/-standard deviation age: 12.78+/-2.88, range: 11 to 15) underwent a clinical examination (age, weight, height, body mass index and Tanner puberty stage) and an evaluation of bilateral knee flexor and extensor muscle strength on an isokinetic dynamometer. Participation in the study was voluntary. RESULTS: The peak torque increased progressively (by 50%) between the ages of 11 and 15 and most significantly between 12 to 14. The knee flexor/extensor ratios only decreased significantly between 14 and 15 years of age. Puberty stage was the most important determinant of the peak torque level (ahead of chronological age, weight and height) for all angular velocities (p<0.0001). Muscle strength increased significantly between Tanner stages 1 and 5, with the greatest increase between stages 2 and 4. CONCLUSION: The present study showed that isokinetic muscle strength increases most between 12 and 13 years of age and between Tanner stages 2 and 3. There was strong correlation between muscle strength and physiological age.
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Osteoporotic fracture (OF) is one of the major causes of morbidity and mortality in industrialized countries. Switzerland is among the countries with the greatest risk. Our aim was (1) to calculate the FRAX(®) in a selected Swiss population the day before the occurrence of an OF and (2) to compare the results with the proposed Swiss FRAX(®) thresholds. The Swiss Association Against Osteoporosis proposed guidelines for the treatment of osteoporosis based on age-dependent thresholds. To identify a population at a very high risk of osteoporotic fracture, we included all consecutive patients in the active OF pathway cohort from the Lausanne University Hospital, Switzerland. FRAX(®) was calculated with the available data the day before the actual OF. People with a FRAX(®) body mass index (BMI) or a FRAX(®) (bone mineral density) BMD lower than the Swiss thresholds were not considered at high risk. Two-hundred thirty-seven patients were included with a mean age of 77.2 years, and 80 % were female. Major types of fracture included hip (58 %) and proximal humerus (25 %) fractures. Mean FRAX(®) BMI values were 28.0, 10.0, 13.0, 26.0, and 37.0 % for age groups 50-59, 60-69, 70-79, and 80-89 years old, respectively. Fifty percent of the population was not considered at high risk by the FRAX(®) BMI. FRAX(®) BMD was available for 95 patients, and 45 % had a T score < -2.5 standard deviation. Only 30 % of patients with a normal or osteopenic BMD were classified at high risk by FRAX(®) BMD. The current proposed Swiss thresholds were not able to classify at high risk in 50 to 70 % of the studied population the day before a major OF.
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The Public Health Agency is encouraging people with specific health conditions to join the Healthwise scheme – a free 12 week physical activity programme to get their new year off to a healthy start. The scheme is available at registered leisure centres and Healthy Living Centres (HLCs) within the Belfast and South Eastern Health and Social Care Trust areas and is for people with certain health conditions who have been referred by their GP, nurse or other health professionals. The scheme is suitable for those with: • high blood pressure; • a body mass index (BMI) of more than 25; • asthma or chronic obstructive pulmonary disease (COPD); • diabetes; • osteoporosis; • hypertension; • coronary heart disease and associated risk factors; • anxiety; • stress; • depression.
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BACKGROUND: During stress, vasopressin is a potent synergistic factor of CRH as a hypothalamic stimulator of the HPA axis. The measurements of CRH and vasopressin levels are cumbersome because of their instability and short half-life. Copeptin is a more stable peptide stoichiometrically released from the same precursor molecule. The aim of our study was to compare copeptin and cortisol levels in different stress situations. METHODS: Three groups of patients with increasing stress levels were investigated: a) healthy controls without apparent stress (n=20), b) hospitalized medical patients with moderate stress (n=25) and c) surgical patients 30 minutes after extubation, with maximal stress (n=29). In all patients we assessed cortisol and copeptin levels. Copeptin levels were measured with a new sandwich immunoassay. RESULTS: Cortisol levels in controls were (median, IQ range, 486 [397-588] nmol/L), not significantly different as compared to medical patients (438 [371-612] nmol/L, p=0.69). Cortisol levels in surgical patients after extubation were higher (744 [645-1062] nmol/L p<0.01 vs controls and medical patients). Copeptin levels in controls were 4.3 [3.2-5.5] pmol/L, which was lower as compared to medical patients (17.5 [6.4-24.1], p<0.001) and surgical patients after extubation (67.5 [37.8-110.0] pmol/L, p<0.001). The correlation between copeptin levels and cortisol was r=0.46, p<0.001. CONCLUSION: Copeptin is a novel marker of the individual stress level. It more subtly mirrors moderate stress as compared to cortisol values.
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-Social and economic inequalities in diet and physical activity - Obesity and disability - adults - Obesity and alcohol - an overview - A simple guide to classifying body mass index in children - Knowledge and attitudes towards healthy eating and physical activity - Brief intervetions for weight management - Data sources:environmental influences on physical activity and diet - Measuring diet and physical activity in weight management interventions - Obesity and Mental Health - Obesity and ethnicity - Variation in Childrens BMI by month of measurement - The economic burden of obesity - Bariatric surgery for obesity - Review of dietary assessment methods in public health - Obesity and life expectancy -
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The aims and objectives of this intervention are - To reduce or maintain participant's BMI - Improve participant's self-confidence - Improve participation in physical activities - Provide information about health and nutrition - Provide participant's with the opportunity to make new friends - Provide participant's with the opportunity to take part in a variety of different sporting activities - To provide a fun and interactive health lifestyle programm
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The Genetic Investigation of Anthropometric Traits (GIANT) consortium identified 14 loci in European Ancestry (EA) individuals associated with waist-to-hip ratio (WHR) adjusted for body mass index. These loci are wide and narrowing the signals remains necessary. Twelve of 14 loci identified in GIANT EA samples retained strong associations with WHR in our joint EA/individuals of African Ancestry (AA) analysis (log-Bayes factor >6.1). Trans-ethnic analyses at five loci (TBX15-WARS2, LYPLAL1, ADAMTS9, LY86 and ITPR2-SSPN) substantially narrowed the signals to smaller sets of variants, some of which are in regions that have evidence of regulatory activity. By leveraging varying linkage disequilibrium structures across different populations, single-nucleotide polymorphisms (SNPs) with strong signals and narrower credible sets from trans-ethnic meta-analysis of central obesity provide more precise localizations of potential functional variants and suggest a possible regulatory role. Meta-analysis results for WHR were obtained from 77 167 EA participants from GIANT and 23 564 AA participants from the African Ancestry Anthropometry Genetics Consortium. For fine mapping we interrogated SNPs within ± 250 kb flanking regions of 14 previously reported index SNPs from loci discovered in EA populations by performing trans-ethnic meta-analysis of results from the EA and AA meta-analyses. We applied a Bayesian approach that leverages allelic heterogeneity across populations to combine meta-analysis results and aids in fine-mapping shared variants at these locations. We annotated variants using information from the ENCODE Consortium and Roadmap Epigenomics Project to prioritize variants for possible functionality.
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Analyzing the relationship between the baseline value and subsequent change of a continuous variable is a frequent matter of inquiry in cohort studies. These analyses are surprisingly complex, particularly if only two waves of data are available. It is unclear for non-biostatisticians where the complexity of this analysis lies and which statistical method is adequate.With the help of simulated longitudinal data of body mass index in children,we review statistical methods for the analysis of the association between the baseline value and subsequent change, assuming linear growth with time. Key issues in such analyses are mathematical coupling, measurement error, variability of change between individuals, and regression to the mean. Ideally, it is better to rely on multiple repeated measurements at different times and a linear random effects model is a standard approach if more than two waves of data are available. If only two waves of data are available, our simulations show that Blomqvist's method - which consists in adjusting for measurement error variance the estimated regression coefficient of observed change on baseline value - provides accurate estimates. The adequacy of the methods to assess the relationship between the baseline value and subsequent change depends on the number of data waves, the availability of information on measurement error, and the variability of change between individuals.
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Key Findings • Based on body mass index (BMI) measurements, 36% of Irish over 50s are obese and a further 43% are overweight. • Based on waist circumference measurements, 52% of Irish over 50s are ‘centrally obese’, i.e., with a ‘substantially increased’ waist circumference, while a further 25% have an ‘increased’ waist circumference. • Using BMI as an indicator of obesity, a higher proportion of men (38%) are obese than women (33%); however, using waist circumference as an indicator of obesity, a higher proportion of women (56%) have a ‘substantially increased’ waist circumference than men (48%). • The prevalence of obesity in Irish men over 50 is comparable with US men over 50 (while English rates are much lower). Â Â .This resource was contributed by The National Documentation Centre on Drug Use.
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While dementia affects 6-10% of persons 65 years or older, industrialized countries have witnessed an alarming rise in obesity. However, obesity's influence on dementia remains poorly understood. The conducted a systematic review and meta-analysis. PUBMED search (1995-2007) resulted in 10 relevant prospective cohort studies of older adults (40-80 years at baseline) with end points being dementia and predictors including adiposity measures, such as body mass index (BMI) and waist circumference (WC). There was a significant U-shaped association between BMI and dementia (P= 0.034), with dementia risk increased for obesity and underweight. Pooled odds ratios (OR) and 95% confidence intervals (CI) for underweight, overweight and obesity compared with normal weight in relation to incident dementia were: 1.36 (1.07, 1.73), 0.88 (0.60, 1.27) and 1.42 (0.93, 2.18) respectively. Pooled ORs and 95% CI for obesity and incident Alzheimer's disease (AD) and vascular dementia were 1.80 (1.00, 3.29) vs. 1.73 (0.47, 6.31) and were stronger in studies with long follow-up (>10 years) and young baseline age (
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Previous studies have relied predominantly on the body-mass index (BMI, the weight in kilograms divided by the square of the height in meters) to assess the association of adiposity with the risk of death, but few have examined whether the distribution of body fat contributes to the prediction of death. This study examined the association of BMI, waist circumference, and waist-to-hip ratio with the risk of death among 359,387 participants from nine countries in the European Prospective Investigation into Cancer and Nutrition (EPIC). A Cox regression analysis was used, with age as the time variable, and stratified the models according to study center and age at recruitment, with further adjustment for educational level, smoking status, alcohol consumption, physical activity, and height.
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Background/Introduction: ln Switzerland, most trends in overweight and obesity levels have been assessed using reported data, a methodology which is prone to reporting bias. ln this study, we aimed at assessing trends in overweight and obesity levels using objectively measured data. Methods: We used independent cross-sectional data collected between 2005 and 2011 by the Bus Santé study on representative samples of the Geneva population. Trends were assessed overall and according to different characteristics of the participants. Overweight and obesity were defined as a body mass index (BMI) between 25 and 29.9 kg/m2 and >=30 kg/m2, respectively. Results: Data from 4093 participants (2012 men) was assessed. Mean BMI was 25.2 ± 4.3 kg/m2 (mean ±standard deviation) in 2005 and 25.4 ± 4.3 in 2011 (p for trend using linear regression=0.98). For men, mean BMI was 26.3 ± 3.8 kg/m2 in 2005 and 26.1 ± 3.7 in 2011 (p for trend=0.37); for women, the corresponding values were 24.3 ± 4.6 and 24.7 ± 4.7 kg/m2 (p for trend=0.42). Overall prevalence of overweight and obesity was 32.2% and 13.3%, respectively, in 2005 and 33.6% and 13.7% in 2011 (p for trend using polytomous logistic regression adjusting for gender, age and smoking=0.49 and 0.94 for overweight and obesity, respectively). For men, prevalence of overweight and obesity was 45.9% and 12.2% in 2005 and 42.1 % and 14.6% in 2011 (P for trend=0.03 for overweight and 0.81 for obesity); for women, the corresponding values were 20.4% and 14.2% in 2005 and 25.4% and 12.9% in 2011 (p for trend=0.13 for overweight and 0.99 for obesity). Conclusion: Overweight and obesity levels appear to have levelled in Geneva, with a possible decrease in overweight levels in men. These favorable findings should be replicated in other geographical locations.
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Purpose: the prevalence of obesity is rapidly increasing in older adults. Information is required about what interventions are effective in reducing obesity and influencing health outcomes in this age group. Design: systematic review and meta-analysis. Data sources: thirteen databases were searched, earliest date 1966 to December 2008, including Medline, CINAHL, PsycINFO, the Cochrane database and EMBASE. Study selection: we included studies with participants�۪ mean age 60 years and mean body mass index 30 kg/m2, with outcomes at a minimum of 1 year. Data were independently extracted by two reviewers and differences resolved by consensus. Data extraction: nine eligible trials were included. Study interventions targeted diet, physical activity and mixed approaches. Populations included patients with coronary artery disease, diabetes mellitus and osteoarthritis. Results: meta-analysis (seven studies) demonstrated a modest but significant weight loss of 3.0 kg [95% confidence interval (CI) 5.1���0.9] at 1 year. Total cholesterol (four studies) did not show a significant change: ���0.36 mmol/l (95% CI ���0.75 to 0.04). There was no significant change in high-density lipoprotein, low-density lipoprotein or triglycerides. In one study, recurrence of hypertension or cardiovascular events was significantly reduced (hazard ratio 0.65, 95% CI 0.50���0.85). Six-minute walk test did not significantly change in one study. Health-related quality of life significantly improved in one study but did not improve in a second study. Conclusions: although modest weight reductions were observed, there is a lack of high-quality evidence to support the efficacy of weight loss programmes in older people. ��Keywords: obesity, older, weight loss, meta-analysis, elderly, systematic review
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Paradoxically, morbid obesity was suggested to protect from cardiovascular co-morbidities as compared to overweight/obese patients. We hypothesise that this paradox could be inferred to modulation of the "endocannabinoid" system on systemic and subcutaneous adipose tissue (SAT) inflammation. We designed a translational project including clinical and in vitro studies at Geneva University Hospital. Morbid obese subjects (n=11) were submitted to gastric bypass surgery (GBS) and followed up for one year (post-GBS). Insulin resistance and circulating and SAT levels of endocannabinoids, adipocytokines and CC chemokines were assessed pre- and post-GBS and compared to a control group of normal and overweight subjects (CTL) (n=20). In vitro cultures with 3T3-L1 adipocytes were used to validate findings from clinical results. Morbid obese subjects had baseline lower insulin sensitivity and higher hs-CRP, leptin, CCL5 and anandamide (AEA) levels as compared to CTL. GBS induced a massive weight and fat mass loss, improved insulin sensitivity and lipid profile, decreased C-reactive protein, leptin, and CCL2 levels. In SAT, increased expression of resistin, CCL2, CCL5 and tumour necrosis factor and reduced MGLL were shown in morbid obese patients pre-GBS when compared to CTL. GBS increased all endocannabinoids and reduced adipocytokines and CC chemokines. In morbid obese SAT, inverse correlations independent of body mass index were shown between palmitoylethanolamide (PEA) and N-oleoylethanolamide (OEA) levels and inflammatory molecules. In vitro, OEA inhibited CCL2 secretion from adipocytes via ERK1/2 activation. In conclusion, GBS was associated with relevant clinical, metabolic and inflammatory improvements, increasing endocannabinoid levels in SAT. OEA directly reduced CCL2 secretion via ERK1/2 activation in adipocytes.
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Purpose: the prevalence of obesity is rapidly increasing in older adults. Information is required about what interventions are effective in reducing obesity and influencing health outcomes in this age group. Design: systematic review and meta-analysis. Data sources: thirteen databases were searched, earliest date 1966 to December 2008, including Medline, CINAHL, PsycINFO, the Cochrane database and EMBASE. Study selection: we included studies with participants�۪ mean age 60 years and mean body mass index 30 kg/m2, with outcomes at a minimum of 1 year. Data were independently extracted by two reviewers and differences resolved by consensus. Data extraction: nine eligible trials were included. Study interventions targeted diet, physical activity and mixed approaches. Populations included patients with coronary artery disease, diabetes mellitus and osteoarthritis. Results: meta-analysis (seven studies) demonstrated a modest but significant weight loss of 3.0 kg [95% confidence interval (CI) 5.1���0.9] at 1 year. Total cholesterol (four studies) did not show a significant change: ���0.36 mmol/l (95% CI ���0.75 to 0.04). There was no significant change in high-density lipoprotein, low-density lipoprotein or triglycerides. In one study, recurrence of hypertension or cardiovascular events was significantly reduced (hazard ratio 0.65, 95% CI 0.50���0.85). Six-minute walk test did not significantly change in one study. Health-related quality of life significantly improved in one study but did not improve in a second study. Conclusions: although modest weight reductions were observed, there is a lack of high-quality evidence to support the efficacy of weight loss programmes in older people. ��Keywords: obesity, older, weight loss, meta-analysis, elderly, systematic review��