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Latest & greatest articles for obesity
The Trip Database is a leading resource to help health professionals find trustworthy answers to their clinical questions. Users can access the latest research evidence and guidance to answer their clinical questions. We have a large collection of systematic reviews, clinical guidelines, regulatory guidance, clinical trials and many other forms of evidence. If you wanted the latest trusted evidence on obesity or other clinical topics then use Trip today.
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Walkable neighborhoods and obesity: Evaluating effects with a propensity score approach Research investigating the connection between neighborhood walkability and obesity often overlooks the issue of nonrandom residential selection.We use propensity score methods to adjust for the nonrandom selection into residential neighborhoods in this cross-sectional, observational study. The sample includes 103,912 women residing in Salt Lake County, Utah age 20 or older. We measured percentage living (...) in neighborhoods with more walkability, area level measures of neighborhood characteristics, and obesity (body mass index (BMI) > 30).Our findings confirm previous work that observes an association between living in more walkable neighborhoods and lower obesity. After adjusting for nonrandom selection, the odds of being obese when living in a less walkable neighborhood increase. Specifically, the odds ratio for being obese without the propensity score correction is 1.12. After adjusting for nonrandom selection
A Medically Supervised Pregnancy Exercise Intervention in Obese Women: A Randomized Controlled Trial To evaluate whether an intensive, medically supervised exercise intervention improved maternal glycemia and gestational weight gain in obese pregnant women when compared with routine prenatal care.This randomized controlled trial compared a medically supervised exercise intervention with routine prenatal care. The primary outcome was a reduction in mean maternal fasting plasma glucose (...) of gestation, excessive gestational weight gain greater than 9.1 kg was lower in the exercise group, 23.5% compared with 45.2% in the control group (P<.05).An intensive, medically supervised exercise intervention for obese women from early pregnancy did not improve maternal glycemia. Pregnant women who are obese, however, should be advised to exercise because it attenuates excessive gestational weight gain.International Standard Randomised Controlled Trials (ISRCTN) registry, ISRCTN 31045925.
of the height in meters) of 35 or higher in adults and 120% or more of the 95th percentile in children.Given the current level of childhood obesity, the models predicted that a majority of today's children (57.3%; 95% uncertainly interval [UI], 55.2 to 60.0) will be obese at the age of 35 years, and roughly half of the projected prevalence will occur during childhood. Our simulations indicated that the relative risk of adult obesity increased with age and BMI, from 1.17 (95% UI, 1.09 to 1.29) for overweight (...) 2-year-olds to 3.10 (95% UI, 2.43 to 3.65) for 19-year-olds with severe obesity. For children with severe obesity, the chance they will no longer be obese at the age of 35 years fell from 21.0% (95% UI, 7.3 to 47.3) at the age of 2 years to 6.1% (95% UI, 2.1 to 9.9) at the age of 19 years.On the basis of our simulation models, childhood obesity and overweight will continue to be a major health problem in the United States. Early development of obesity predicted obesity in adulthood, especially
of Public Health, George Washington University, Washington, DC. Richardson Lisa C LC Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia. eng CC999999 Intramural CDC HHS United States Journal Article United States JAMA 7501160 0098-7484 AIM IM JAMA. 2018 Jun 19;319(23):2442 29922821 Humans Neoplasms etiology Obesity complications epidemiology Overweight complications epidemiology Prevalence United States epidemiology Weight Gain 2017 10 4 6 0 2017 12 (...) Excessive Weight Gain, Obesity, and Cancer: Opportunities for Clinical Intervention 28973170 2017 12 13 2018 11 28 1538-3598 318 20 2017 Nov 28 JAMA JAMA Excessive Weight Gain, Obesity, and Cancer: Opportunities for Clinical Intervention. 1975-1976 10.1001/jama.2017.15519 Massetti Greta M GM Division of Cancer Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia. Dietz William H WH Redstone Global Center for Prevention and Wellness, Milken Institute School
to families, and the documented increase in alcohol consumption since removal of the above-inflation alcohol duty escalator. Alcoholic liver disease will shortly overtake ischaemic heart disease with regard to years of working life lost. The rising prevalence of overweight and obesity, affecting more than 60% of adults in the UK, is leading to an increasing liver disease burden. Favourable responses by industry to the UK Government's soft drinks industry levy have been seen, but the government cannot (...) Disease burden and costs from excess alcohol consumption, obesity, and viral hepatitis: fourth report of the Lancet Standing Commission on Liver Disease in the UK. This report contains new and follow-up metric data relating to the eight main recommendations of the Lancet Standing Commission on Liver Disease in the UK, which aim to reduce the unacceptable harmful consequences of excess alcohol consumption, obesity, and viral hepatitis. For alcohol, we provide data on alcohol dependence, damage
The Perceptions of Medical School Students and Faculty Toward Obesity Medicine Education: Survey and Needs Analysis Recent trends in obesity show that over two-thirds of US adults are considered at least overweight (body mass index, BMI≥25 kg/m2) and of those, about one-third are categorized as obese (BMI≥30 kg/m2). Physicians can address the health impacts of obesity; yet research has suggested that physicians-in-training frequently fail to recognize obesity, are not properly educated (...) , Endocrinology, and Wellness courses. Student knowledge about basic skills, such as measuring waist circumference, varied widely. About half of the students did not feel knowledgeable about recommending weight loss treatments. Most students did not feel prepared to provide interventions for patients in various categories of overweight/obesity, patients with psychosocial issues, obesity-related comorbidities, or failed weight loss attempts. However, most students did feel that it was their role as health
Metabolic Concomitants of Obese and Nonobese Women With Features of Polycystic Ovarian Syndrome Polycystic ovarian syndrome (PCOS) is often associated with obesity and diabetes.The present study measured body fat distribution and metabolic risk factors in women with features of PCOS.Cross-sectional, multiethnic study of cardiovascular risks.General community.145 PCOS and 344 non-PCOS women.Body composition by dual x-ray absorptiometry; abdominal fat masses measured by magnetic resonance imaging (...) and hepatic triglyceride by magnetic resonance spectroscopy.Body composition, liver fat content, homeostatic model assessment for insulin resistance (HOMA-IR), revised, and metabolic syndrome components.PCOS women had a higher free androgen index compared with the non-PCOS women. Nonobese PCOS and non-PCOS women had a similar body fat content and distribution, HOMA-IR, and hepatic triglyceride content. Obese PCOS women had a similar total body fat percentage compared with their non-PCOS counterparts (41.4
, and excess body fat, and an obesity education video-control condition.College students at risk for both outcomes because of weight concerns (N=364, 72% female) were randomized to condition, completing pretest, posttest, and 6, 12 and 24-month follow-up assessments.Project Health participants showed significantly smaller increases in measured body mass index (BMI) through 2-year follow-up than both Healthy Weight participants and controls (both d=-0.18), and significantly lower onset of overweight/obesity (...) over 2-year follow-up than Healthy Weight participants and controls (13 vs 21% and 22%). Healthy Weight and Project Health participants showed significantly greater eating disorder symptom reductions than controls through 2-year follow-up. Healthy Weight and Project Health participants showed marginally lower eating disorder onset over follow-up than controls (3 and 3% vs 8% respectively).The reduced increases in BMI and future overweight/obesity onset for Project Health relative to both an active
Nutrition and Exercise Rehabilitation in Obesity hypoventilation syndrome (NERO): a pilot randomised controlled trial Respiratory management of obesity hypoventilation syndrome (OHS) focusses on the control of sleep-disordered breathing rather than the treatment of obesity. Currently, there are no data from randomised trials of weight loss targeted rehabilitation programmes for patients with OHS.A 3-month multimodal hybrid inpatient-outpatient motivation, exercise and nutrition rehabilitation
Parentsâ€™ perceptions of reasons for excess weight loss in obese children: a peer researcher approach This study reports on the process of conducting participatory research by training peer researchers to conduct interviews and analyse data collected with parents of overweight children. The methodology was chosen as a means of (a) encouraging participation among a hard-to-engage group (i.e., parents of overweight children), and (b) generating novel insights and challenging academic/health (...) professional assumptions through the involvement of parents in the interpretation of findings.Four parents (all female) were recruited as peer researchers and trained in research processes, ethics, and interview skills over three half-day workshops. The intended interviewees were parents of children identified as obese through the National Child Measurement Programme (NCMP) at the start of primary school (age 4-5) but who had lost their excess weight by age 10-11; little is currently known about how
, 2.66; 95% confidence interval, 1.17-6.05). To conclude, obesity was not associated with MGUS. However, we found overweight/obesity to be a risk factor for progression from MGUS to MM and other LP diseases, suggesting that obesity plays a role in the transformation of MGUS to MM. (...) Obesity and risk of monoclonal gammopathy of undetermined significance and progression to multiple myeloma: a population-based study All multiple myeloma (MM) cases are preceded by the premalignant state monoclonal gammopathy of undetermined significance (MGUS). Results from previous studies show a positive association between obesity and MM; however, the association between obesity and MGUS is controversial. The aims were to determine (1) if obesity is associated with an increased risk of MGUS
Prevalence of diabetes mellitus and its relation with obesity in Turaif (Saudi Arabia) in 2017 The significant increase in the prevalence of obesity over past decades caused the concomitant rise in the incidence of glucose intolerance and diabetes.To determine the prevalence of diabetes among Saudi nationals in Turaif, Kingdom of Saudi Arabia and to examine the association between diabetes and obesity in the studied population.This study was conducted during the period from May 01 to May 31
March 2016 through March 2017. Three hundred Saudi male students (from applied medical sciences in Taif University, Taif, Saudi Arabia) were classified according to BMI into lean, overweight and obese groups. For each individual, blood glucose, cholesterol, HDL-C, LDL-C, insulin and 25-(OH) vitamin D were measured. In addition, Apal, BsmI and TaqI genotypes were performed for each individual from March 2016 through March 2017, through computer-based search of the following databases: PubMed, Web (...) Vitamin D receptor gene polymorphisms as a risk factor for obesity in Saudi men The prevalence of obesity and vitamin D deficiency in Saudi Arabia has increased recently. Decreased physical activity might play a role in obesity. Previous studies showed an association between low vitamin D level and its receptor polymorphism with obesity development.To determine association of low vitamin D level and its receptor polymorphism with obesity in Saudi men.This case control study was carried out from
Obesity in individuals with schizophrenia: a case controlled study in Scotland Despite extensive clinical concern about rates of obesity in patients with schizophrenia, there is little evidence of the extent of this problem at a population level.To estimate levels of obesity in a national population sample by comparing patients with schizophrenia with matched controls.We calculated levels of obesity for each patient with schizophrenia from the national Primary Care Clinical Informatics Unit (...) database (n=4658) matched with age, gender and neighbourhood controls.We demonstrated a significant increased obesity hazard for the schizophrenia group using Cox regression analysis, with odds ratio (OR) of 1.94 (95% CI 1.81-2.10) (under the assumption of missing body mass index (BMI) indicating non-obesity) and OR=1.68 (95% CI 1.55-1.81) where no assumptions were made for missing BMI data.People with schizophrenia are at increased risk of being obese compared with controls matched by age, gender
Association between insulin resistance and preeclampsia in obese non-diabetic women receiving metformin To examine whether the reduced incidence of preeclampsia in non-diabetic obese pregnant women treated with metformin is mediated by changes in insulin resistance.This was a secondary analysis of obese pregnant women in a randomised trial (MOP trial). Fasting plasma glucose and insulin were measured in 384 of the 400 women who participated in the MOP trial. Homeostasis model assessment (...) = 0.643).Reduced incidence of preeclampsia in non-diabetic obese pregnant women treated with metformin is unlikely to be due to changes in insulin resistance.
Worldwide trends in body-mass index, underweight, overweight, and obesity from 1975 to 2016: a pooled analysis of 2416 population-based measurement studies in 128·9 million children, adolescents, and adults. Underweight, overweight, and obesity in childhood and adolescence are associated with adverse health consequences throughout the life-course. Our aim was to estimate worldwide trends in mean body-mass index (BMI) and a comprehensive set of BMI categories that cover underweight to obesity (...) for children and adolescents (referred to as moderate and severe underweight hereafter), 2 SD to more than 1 SD below the median (mild underweight), 1 SD below the median to 1 SD above the median (healthy weight), more than 1 SD to 2 SD above the median (overweight but not obese), and more than 2 SD above the median (obesity).Regional change in age-standardised mean BMI in girls from 1975 to 2016 ranged from virtually no change (-0·01 kg/m2 per decade; 95% credible interval -0·42 to 0·39, posterior