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The purpose of this study was to examine whether using both objectively (accelerometer) and subjectively (questionnaire) measured moderate- to vigorous-intensity physical activity (MVPA) and sedentary time (SED) improves the prediction of prediabetes and type 2 diabetes (pre/T2D) using data from the Framingham Heart Study ( n = 4200). Logistic regression was used to examine the odds ratio of pre/T2D in groups cross-classified by subjective and objective MVPA and SED. Less than half of participants fell into concordant categories of MVPA and SED using subjective and objective measures, with 7.0%–9.4% of participants in the extreme discordant categories of high-low or low-high subjective–objective MVPA or SED. Low objective MVPA, regardless of subjective MVPA status, was associated with a higher prevalence of pre/T2D ( P

Background: We examined the effects of exercise training on resting metabolic rate (RMR), and whether changes in body composition are associated with changes in RMR in adolescents with overweight and obesity. Methods: One hundred forty adolescents (12–18 years, BMI ≥85th percentile) participated in randomized exercise trials (3–6 months) at UPMC Children's Hospital of Pittsburgh (18 control, 51 aerobic, 50 resistance, and 21 combined aerobic and resistance exercise). All participants had RMR assessments by indirect calorimetry after a 10–12 hour overnight fast, and body composition by magnetic resonance imaging and dual-energy X-ray absorptiometry. Results: There were no significant changes in RMR (kcal/day) between exercise groups vs. controls (p > 0.05). All exercise groups decreased visceral fat (−0.2 ± 0.02 kg; p 0.05), was a significant determinant of changes in RMR, independent of exercise modality (p = 0.04). Conclusion: Although exercise modality was not associated with changes in RMR, change in FFM, but not skeletal muscle or FM, was a significant correlate of changes in RMR in adolescents with overweight and obesity. Clinicaltrials.gov registration numbers: NCT00739180, NCT01323088, NCT01938950.

ObjectiveIt is unclear to what degree acutely violating bioelectrical impedance analysis (BIA) measurement assumptions will alter the predicted percent fat mass (%FM) and whether this differs by sex or body mass index (BMI).Methods%FM was assessed under control, dehydration, exercise, water, food intake and non-voided bladder conditions with three BIA devices (Tanita: BC-418, TBF-314, & Omron HBF-306CN) for men (n = 23, age: 24.0 ± 5.2 years old) and women (n = 17, age: 22.5 ± 3.4 years old) separately.ResultsFor all BIA devices, there were no differences in the %FM values between the control and the other conditions in men or women (− 1.9 to 0.4%,p > 0.05). Across the three devices and five conditions, 97% of %FM tests returned values within 5% of control (2 tests), and 86% of tests were within 2% of control despite violating an assumption. The errors were greatest with dehydration and women were more likely to have a %FM difference greater than 2% than men with dehydration using the hand-to-foot device (Tanita TBF-314: 59% versus 9%). There were no differences in %FM between control and the conditions when examined by BMI (overweight/obesity: − 2.8 to 0.1% and normal weight: − 1.7 to 0.5%; BMI*trial,p = 0.99).Conclusion%FM estimates were similar despite acutely violating the preliminary measurement BIA assumptions across a range of different BMIs. The minor variations in %FM are smaller than what would be expected with day-to-day variability or weight loss intervention but may be larger in women than men.

To examine the utility of changes in cardiorespiratory fitness (CRF) and body composition in response to exercise training in adolescents with obesity beyond simple measures of body weight change. This is a secondary analysis of our previously published randomized trials of aerobic, resistance, and combined training. We included 104 adolescents (body mass index (BMI) ≥85th percentile) who had complete baseline and post-intervention data for CRF, regional body fat, insulin sensitivity, and oral glucose tolerance. Associations between changes in body composition and CRF with cardiometabolic variables were examined adjusted for age, sex, Tanner stage, race, exercise group, and weight loss. At baseline, CRF, visceral fat and liver fat were correlated with insulin sensitivity with and without adjustment for BMI percentile. Training-associated changes in CRF, visceral fat, and liver fat were also correlated with insulin sensitivity changes, but not independent of body weight change. After accounting for body weight change, none of the body composition or CRF were associated with changes in insulin sensitivity, glucose tolerance, systolic blood pressure, or high-density lipoprotein cholesterol. Although CRF and body composition were strong independent correlates of insulin sensitivity at baseline, changes in CRF and visceral fat were not associated with changes in insulin sensitivity after accounting for body weight change. Clinicaltrials.gov registration nos.: NCT00739180, NCT01323088, NCT01938950. Novelty With exercise training, changes in body weight, CRF, visceral fat, and liver fat were correlated with changes in insulin sensitivity. Changes in body composition or CRF generally did not remain significant correlates of changes in insulin sensitivity after adjusting for body weight changes.

Weight history and its association with the weight loss achieved in a publicly funded clinical obesity management program were examined in 9348 patients.Weight history (frequency and magnitude of weight losses) was collected through questionnaires at enrollment, and weight change was assessed with retrospective electronic medical chart review.The majority of patients reported developing overweight prior to the age of 40 years and having lost at least 4.5 kg (10 lb) of weight at least once in their lifetime. Those who had an earlier onset of overweight had a higher frequency of past weight loss and had more cumulative weight loss over their lifetime. In women, but not men, earlier age of overweight onset and lifetime weight loss were associated with modestly greater weight loss at the clinic.Women with greater weight-loss history also have modestly greater weight loss at the obesity management clinic. Thus, successful long-term obesity management, particularly for women, may include a series of repeated attempts at weight loss that should not be viewed as failures but could be viewed instead as practice.

POINTS CLES L’obesite est une maladie chronique complexe dans laquelle la graisse corporelle anormale ou excessive (adiposite) nuit a la sante, augmente le risque de complications medicales a long terme et reduit la duree de vie[1][1]. Les etudes epidemiologiques definissent l’obe

KEY POINTS Obesity is a complex chronic disease in which abnormal or excess body fat (adiposity) impairs health, increases the risk of long-term medical complications and reduces lifespan.[1][1] Epidemiologic studies define obesity using the body mass index (BMI; weight/height2), which can stratify

To investigate whether prediction equations including a limited but selected number of anthropometrics that consider differences in subcutaneous abdominal adipose tissue may improve prediction of the visceral adipose tissue (VAT) in youth.Anthropometrics and abdominal adipose tissue by MRI were available in 7-18 years old youth with overweight or obesity: 181 White Europeans and 186 White and Black Americans. Multivariable regressions were performed to develop and validate the VAT anthropometric predictive equations in a cross-sectional study.A model with both waist circumference (WaistC) and hip circumference (HipC) (VAT = [1.594 × WaistC] - [0.681 × HipC] + [1.74 × Age] - 48.95) more strongly predicted VAT in girls of White European ethnicity (RA model including both WaistC and HipC that considers differences in subcutaneous abdominal adipose tissue more accurately predicts VAT in girls and is superior to commonly measured anthropometrics used individually. In boys, other anthropometric measures did not significantly contribute to the prediction of VAT beyond WaistC alone. This demonstrates that selected anthropometric predictive equations for VAT can be an accessible, cost-effective alternative to imaging methods that can be used in both clinics and research.

Concurrent with the recent rise in overweight and obesity, concerns with weight discrimination have arisen. Individuals who have experienced weight discrimination report a host of deteriorations related to physical and psychological health, which may co-exist with behaviours such as increased food consumption and decreases in physical activity that make weight management difficult. What remains less clear, however, is the extent to which metabolic health may be specifically affected, and how this may vary by setting and perceived intensity of the lifetime history of weight discrimination.To address this, a secondary data analysis was performed on 1365 participants from year 25 of the Coronary Artery Disease in Young Adults (CARDIA) study who were living with overweight and obesity. Descriptive statistics and logistic regression analyses were performed on the presence of metabolic syndrome, diabetes, and abdominal obesity, as well as their experience of the weight discrimination.Prevalence of the metabolic syndrome, diabetes, and abdominal obesity was higher among those reporting low and high stress weight discrimination compared to those with no history of weight discrimination. In the adjusted analyses, weight discrimination was associated with a 65% greater likelihood for having metabolic syndrome, 85% greater likelihood of diabetes, and between a 2.5- and 3.9-times greater likelihood of abdominal obesity for low and high stress experiences, respectively.Exposure to weight discrimination may worsen metabolic health, as characterized by higher rates of metabolic syndrome and abdominal obesity. These associations may be greater with levels of stress experienced from weight discrimination. Further longitudinal work is necessary to understand the temporal sequence, time lag, and any possible critical periods for weight discrimination on metabolic health.

Background We examined the relationship between ratios of select biomarkers of kidney and liver function on all-cause and coronary heart disease (CHD) mortality, both in isolation, and in combination with metabolic syndrome (MetS), among adults (20 + years, n = 10,604). Methods Data was derived from the U.S. National Health and Nutrition Examination Survey (1999–2016) including public-use linked mortality follow-up files through December 31, 2015. Results Select biomarker ratios of kidney (UACR or albuminuria and BUN-CR) and liver (AST-ALT and GGT-ALP) function in isolation and in combination with MetS were associated with all-cause and CHD mortality. Compared to individuals with neither elevated biomarker ratios nor MetS (HR = 1.00, referent), increased risk of all-cause mortality was observed in the following groups: MetS with elevated UACR (HR, 95% CI = 2.57, 1.99–3.33), MetS with elevated AST-ALT (HR = 2.22, 1.61–3.07), elevated UACR without MetS (HR = 2.12, 1.65–2.72), and elevated AST-ALT without MetS (HR = 1.71, 1.35–2.18); no other biomarker ratios were associated with all-cause mortality. For cause-specific deaths, elevated risk of CHD mortality was associated with MetS with elevated UACR (HR = 1.67, 1.05–2.67), MetS with elevated AST-ALT (HR = 2.80, 1.62–4.86), and elevated BUN-CR without MetS (HR = 2.12, 1.12–4.04); no other biomarker ratios were associated with CHD mortality. Conclusion Future longitudinal studies are necessary to examine the utility of these biomarker ratios in risk stratification for chronic disease management.

OBJECTIVE: To examine sex and ethnic differences in how baseline and changes in anthropometric measures relate with change in visceral fat with interventions in adolescents. STUDY DESIGN: Black and white adolescents (n = 143: BMI≥85(th) percentile, 12–18 years) who participated in intervention studies (3–6 months) were included and had assessments of anthropometric measures [weight, BMI, waist circumference (WC), waist-to-hip ratio (WHR), and waist-to-thigh ratio (WTR)] and visceral fat at L4-L5 by magnetic resonance imaging before and after interventions. RESULTS: At baseline, all of the anthropometric measures were positively associated with visceral fat (P < .05), with weight, WC and WHR having the largest variance explained (Model Adj R(2) =0.35 to 0.47 versus 0.32 to 0.35). Blacks had 11.5 to 23.3 cm(2) less visceral fat as compared with whites for a given anthropometric value. Girls tended to have less visceral fat for a given anthropometric value, but the sex differences were not consistently significant (range: 0.7 to 12.9 cm(2)). Changes in WC, BMI and weight, but not WHR, remained significantly associated with changes in visceral fat. There were no sex differences, and much more minimal ethnic differences (

Objective This study aimed to compare weight loss (WL) outcomes for patients taking antidepressants and/or antipsychotics with those not taking psychiatric medication. Methods A total of 17,519 adults enrolled in a lifestyle WL intervention at the Wharton Medical Clinics in Ontario, Canada, were analyzed. Sex-stratified multivariable linear regression analysis was used to examine the association of taking antidepressants, antipsychotics, both, or neither with WL when adjusting for age, initial weight, and treatment time. Results Twenty-three percent of patients were taking at least one psychiatric medication. Patients lost a significant amount of weight (P 0.05). Conversely, men taking antidepressants lost only slightly less weight than men taking both classes or neither class of psychiatric medication (3.2 ± 0.3 kg vs. 5.6 ± 0.9 kg and 4.3 ± 0.1 kg; P 0.05). Conclusions Results of this study suggest that those who participate in a weight management program can lose significant amounts of weight regardless of psychiatric medication use.

We aimed to predict % maximal oxygen consumption at absolute accelerometer thresholds and to estimate and compare durations of objective physical activity (PA) among body mass index (BMI) categories using thresholds that account for cardiorespiratory fitness. Eight hundred twenty-eight adults (53.5% male; age, 33.9 ± 0.3 years) from the National Health and Nutrition Examination Survey 2003–2004 were analyzed. Metabolic equivalent values at absolute thresholds were converted to percentage of maximal oxygen consumption, and accelerometer counts corresponding to 40% or 60% maximal oxygen consumption were determined using 4 energy expenditure prediction equations. Absolute thresholds underestimated PA intensity for all adults; however, because of lower fitness, individuals with overweight and obesity work at significantly higher percentage of maximal oxygen consumption at the absolute thresholds and require significantly lower accelerometer counts to reach relative moderate and vigorous PA intensities compared with those with normal weight (P < 0.05). However, moderate-to-vigorous physical activity (MVPA) durations were shorter when using relative thresholds compared with absolute thresholds (in all BMI groups, P < 0.05), and they were shorter among individuals with obesity compared with those with normal weight when using relative thresholds (P < 0.05). Regardless of the thresholds used, a greater proportion of individuals with normal weight met the PA guideline of 150 min·week–1 of MVPA compared with individuals with obesity (absolute: 21.3% vs 6.7%; Yngve: 4.0% vs 0.2%; Swartz: 10.7% vs 3.9%; Hendelman: 4.7% vs 0.2%; Freedson: 6.4% vs 0.5%; P < 0.05). Current absolute thresholds of accelerometry-derived PA may overestimate MVPA for all BMI categories when compared with relative thresholds that account for cardiorespiratory fitness. Given the large variability in our results, more work is needed to better understand how to use accelerometers for evaluating PA at the population level.

Objective To assess changes in weight by calendar month and sex in patients enrolled in a weight loss intervention. Methods Adults participating in a lifestyle weight loss intervention at the Wharton Medical Clinic from January 1st, 2007 to July 4th, 2019 were examined (N = 19,153). A linear generalized estimating equation was used to examine the association between weight change (baseline, month 1, month 2) and calendar month with adjustment for age, sex and baseline body mass index. A first order interaction between sex and calendar was included to assess if the association between calendar month and weight loss differs by sex. Results Patients lost 1.3 ± 2.0 kg (1.2 ± 1.8%) of their body weight per month. As compared to the mean monthly weight loss, patients lost slightly less weight in September (mean, 95% confidence interval (CI): −0.3, −0.4 to −0.2 kg) and slightly more weight in October (0.2, 0.1–0.3 kg). With adjustment for age, body mass index and calendar month, men lost 0.4 kg/month (95% CI: 0.3, 0.5 kg/month) than women. There were no other significant differences in the monthly weight change between men and women (sex*calendar month P-value = 0.24). Conclusion While there were slight differences in the amount of weight change achieved by patients in September, and October, it was not of a magnitude that is likely clinically relevant. In addition, men consistently lost more weight than women across all calendar months. Taken together, this suggest that calendar month is not associated with differences in weight loss for men and women enrolled in a structured weight management program.

The weight loss history and weight loss goals were examined in 4108 patients referred to a publicly funded evidence-based clinical weight management program using a retrospective chart review. The majority of patients were white females, aged of 50.1 ± 13.7 years and a BMI of 39.0 ± 7.5 kg/m2 . Pregnancy was the most common reason for weight gain in women (17.7%) and while the reasons in men are more varied (injury, stress and medication: all ~5%). Over 50% of patients cited no specific reason for their weight gain. Self-directed diet and exercise were the most commonly used self-reported weight loss methods. Women were more likely to report using medication and bariatric surgical weight loss methods than men (P

We examined the separate and combined associations for cardiorespiratory fitness (CRF) and muscular strength (MS) with total and regional fat, and insulin sensitivity (IS) in 204 adolescents (BMI ≥85th percentile, 12–18 years) at UPMC Children’s Hospital of Pittsburgh. CRF was measured by maximum oxygen consumption during a graded treadmill test. MS was quantified by combining 1-repetition maximum test for the leg and bench press. Participants were stratified as having either high or low CRF and MS based on sex-specific median split. Both high CRF and high MS groups had lower (P < 0.05) total fat after adjustment for sex, Tanner stage and ethnicity than the low CRF and MS groups (Difference: 6.6, 2.6–9.6% and 5.4, 2.4–8.3%, respectively). High CRF, but not high MS, had lower visceral (67.5 versus 77.9 cm2, P < 0.01) and intermuscular fat (3.6 versus 4.0 kg, P = 0.01) than the low CRF groups. Differences by CRF remained significant after adjustment for MS. High CRF, but not high MS, was associated (P < 0.05) with lower fasting glucose and higher IS after accounting for sex, Tanner stage and ethnicity than the low CRF group, and high CRF remained associated with these markers after adjustment for MS. High CRF is associated with lower total and regional fat, and higher IS after adjustment for MS. Novelty: CRF is associated with lower total fat, visceral and intermuscular fat, and higher insulin sensitivity adjusting for muscular strength. Muscular strength is not associated with regional body fat and insulin sensitivity after accounting for CRF.

Objective To examine the combined association between metformin use and physical activity on HbA1c in adults with type 2 diabetes. Research Design and Methods Adults with type 2 diabetes from NHANES continuous survey (1999‐2018, n = 6447) were classified as active and inactive based on self‐reported engagement in moderate‐to‐vigorous or vigorous physical activity (MVPA or VigPA) and metformin use over the last month. Results There was a significant negative main effect of metformin usage on HbA1c levels, independent of whether individuals engaged in modest levels of MVPA or VigPA. Moreover, there was a higher prevalence of metformin users with a HbA1c .05). Conclusions There appears to be independent benefits of metformin and regular physical activity on glucose control, but the impact of these two treatments are not necessarily additive. Based on this analyses, the benefit of physical activity on HbA1c levels in type 2 diabetes is likely more apparent in those not taking metformin, as compared to those who are., There appears to be independent benefits of metformin and regular physical activity on glucose control, but the impact of these two treatments are not necessarily additive. Based on these analyses, the benefit of physical activity on HbA1c levels in type 2 diabetes is likely more apparent in those not taking metformin, as compared to those who are.

We compared the effects of aerobic exercise, resistance exercise, and combined aerobic and resistance exercise on total, regional subcutaneous adipose tissue (SAT) and visceral AT (VAT), skeletal muscle (SM), and biomarkers of cardiovascular disease in adolescents. Adolescents with overweight/obesity (N = 118; body mass index ≥ 85th percentile; age, 12–17 years) were randomized to 1 of the following groups for 6 months (3 days/week, 180 min/week): aerobic exercise (n = 38), resistance exercise (n = 40), or combined aerobic and resistance exercise (n = 40). After accounting for age, sex, and baseline value, there was a greater (P < 0.05) reduction in body weight in the aerobic exercise group compared with the resistance exercise group and the combined groups. There were reductions (P < 0.05) in total and regional SAT within the aerobic exercise group only, and the reductions in lower-body SAT were greater (P = 0.02) than the combined group. All groups had reductions (P < 0.01) in VAT, with no group differences. There were significant increases in total and regional SM mass in the resistance exercise and combined group, and not in the aerobic exercise group. Although all exercise modalities are effective in reducing VAT, aerobic exercise is superior at reducing total and regional SAT, but inferior for increasing SM in adolescents with obesity. Despite reductions in VAT, carotid-femoral pulse wave velocity and carotid intima-media thickness did not improve with either exercise. Clinicaltrials.gov identifier: NCT01938950. Novelty Regular exercise (180 min/week) is associated with reductions in visceral fat independent of exercise modality. Resistance exercise alone and combined resistance and aerobic exercise are similarly effective in increasing SM mass.

The aims of this study were to assess the effectiveness of a low-carbohydrate high-fat (LCHF) diet with and without a time-restricted feeding (TRF) protocol on weight loss and participating in three sequential dietary interventions (standard calorie-deficit diet, LCHF, and LCHF + TRF) on weight loss outcomes.Data from 227 adults from the Wharton Medical Clinic (WMC) were analyzed using a unidirectional case crossover design. Data was imputed for 154 patients to create a pseudo-sample in which everyone participated in three dietary interventions: standard calorie restriction, LCHF, and LCHF + TRF.Patients lost an average of 11.1 ± 1.3 kg (9.8 ± 1.1%) after three sequential dietary interventions (P0.0001). Patients lost a statistically significant amount of weight from the standard WMC, LCHF, and LCHF+TRF diets (P0.05). With and without adjustment for age, sex, body mass index at the start of the dietary protocol, and treatment time, patients lost a similar amount of weight regardless of the dietary intervention (P0.05). Approximately 78.6% of patients achieved ≥5% weight loss with at least one of the diets.Patients can lose a similar amount of weight regardless of the diet they are following. Approximately 78.9% of patients achieved 5% weight loss with at least one of the diets and lost an average 11.1 kg (or 9.8%). This is nearly double what has been previously reported for one dietary intervention. Thus, participating in sequential diets may be associated with greater absolute weight loss, and likelihood of achieving a clinically significant weight loss.

Objective: It is unclear to what degree acutely violating bioelectrical impedance analysis (BIA) measurement assumptions will alter the predicted percent fat mass (%FM) and whether this differs by sex or body mass index (BMI). Methods: %FM was assessed under control, dehydration, exercise, water, meal intake and non-voided bladder conditions with three BIA devices (Tanita: BC-418, TBF-314, & Omron HBF-306CN) (n=40). Results: For all BIA devices, there were no differences in the %FM values between the control and the other conditions in men or women (-1.9 to 0.4%, p >0.05). Across the three devices and five conditions, 97% of %FM tests returned values within 5% of control (2 tests), and 86% of tests were within 2% of control despite violating an assumption. The errors were greatest with dehydration and females were more likely to have a %FM difference greater than 2% than males with dehydration using the hand-to-foot device (Tanita TBF-314: 59% versus 9%). There were no differences in %FM between control and the conditions when examined by BMI category (overweight: -2.8 to 0.1% and normal weight: -1.7 to 0.5%; BMI*trial, p=0.99). Conclusion: %FM estimates were similar despite acutely violating the preliminary measurement BIA assumptions across a range of different BMIs. The minor variations in %FM are smaller than what would be expected with day-to-day variability or weight loss intervention, but may be larger in women than men.

Studies have examined mortality risk for metabolically healthy obesity, defined as zero or one metabolic risk factors but not as zero risk factors. Thus, we sought to determine the independent mortality risk associated with obesity or elevated glucose, blood pressure or lipids in isolation or clustered together. The sample included 54 089 men and women from five cohort studies (follow-up = 12.8 ± 7.2 years and 4864 [9.0%] deaths). Individuals were categorized as having obesity or elevated glucose, blood pressure or lipids alone or clustered with obesity or another metabolic factor. In our study sample, 6% of individuals presented with obesity but no other metabolic abnormalities. General obesity (hazard ratios [HR], 95% CI = 1.10, 0.8-1.6) and abdominal obesity (HR = 1.24, 0.9-1.7) in the absence of metabolic risk factors were not associated with mortality risk compared to lean individuals. Conversely, diabetes, hypertension and dyslipidaemia in isolation were significantly associated with mortality risk (HR range = 1.17-1.94, P

Objective We examined whether racial differences in liver fat are associated with the differences in abdominal fat distribution or cardiorespiratory fitness (CRF). Methods Participants included 57 black and white obese boys (12-18 years). Total and abdominal fat was measured by dual-energy X-ray absorptiometry (DXA) and magnetic resonance imaging, respectively. CRF was measured using a maximal graded treadmill test with the use of standard open-circuit spirometry techniques until volitional fatigue. Liver fat was measured using a 3T proton magnetic resonance spectroscopy. Fatty liver was defined as having liver fat ≥5%. Results In the sample, 16.1% of black boys and 30.8% of white boys had fatty liver. Liver fat was associated (P ≤ .05) with body mass index (BMI) percentile (r = 0.28), total fat (r = 0.31), waist circumference (r = 0.38), visceral fat (r = 0.62), abdominal subcutaneous adipose tissue (r = 0.30), and CRF (r = −0.27) adjusting for age and race. White boys had greater liver fat than black boys with adjustment for age and differences in BMI percentile or CRF, but not with waist circumference or visceral fat (P > .05). In a model with age, ethnicity, total body fat, fat-free mass, visceral fat, abdominal subcutaneous fat, and CRF, visceral fat was the only factor to be independently associated with increased odds of having fatty liver (OR = 1.12; 95% CI: 1.04-1.21; P = .003). Conclusion The racial disparities in liver fat between obese black vs white adolescents are explained, in part, by differences in visceral fat.

The aim of this study was to examine the associations between baseline and changes in resting metabolic rate (RMR) with chronic condition(s) and weight loss (WL). Sex stratified analysis was undertaken on 393 adults from the Wharton Weight Management Clinics. The association between baseline RMR and WL was examined adjusting for age, BMI, ethnicity and treatment time. The association between changes in RMR (ΔRMR) and WL was also examined adjusting for baseline RMR and above covariates. Models were further adjusted for high glucose, triglycerides, blood pressure, low-density lipoprotein (LDL) and low high-density lipoprotein (HDL). While men (6.0 ± 8.6 kg) and women (5.6 ± 8.3 kg) had significant WL throughout the intervention, their measured decreases in RMR (-48 ± 322 kcal and -5 ± 322 kcal, respectively) were non-significant (P > 0.05). Individuals with a high blood pressure had a higher baseline RMR and women with a high LDL had a lower baseline RMR than those without the chronic condition (P 0.05) in both models. Participants with a low baseline RMR do not appear to be at a disadvantage for WL. Further, WL can occur without decreases in RMR in populations with high levels of obesity and obesity-related comorbidities.

To examine the trends in chronic conditions after accounting for temporal differences in body mass index (BMI) and waist circumference (WC). Pooled cycles (1999-2014) of the U.S. National Health and Nutrition Examination Survey (NHANES) were analysed (n = 36 959). The models were adjusted for caloric intake, smoking, medications use and physical activity. The prevalence of diabetes increased in women with general or abdominal obesity (BMI*time; WC*time, P .05), but there were no differences in men. For hypertension, independent of BMI, the prevalence was not different over time in both sexes (P .05), whereas for a given WC, there was a decrease in the prevalence over time in women (WC*time, P = .05). For dyslipidemia, independent of BMI, the prevalence decreased in men, whereas for a given WC, there was a decrease in the prevalence in both sexes (P .05). Over the same time frame, blood pressure, low-density lipoprotein and triglycerides decreased, while plasma glucose increased independent of general and abdominal obesity (P .001). The relationship between obesity and chronic conditions has changed over time. There may be other changes that have altered how obesity is related with metabolic health markers over time. Further investigation is needed to better understand the current causes of chronic conditions.

BackgroundThe association between metabolic syndrome (MetS) and all-cause mortality is well established but it is unclear if there are differences in mortality risk among the 32 possible MetS combinations. Hence, the purpose of this study is to evaluate the associations between different MetS combinations and its individual components with all-cause mortality, and to examine differences in the association by age and sex.MethodsA merged sample of 82,717 adults from 7 U.S. cohorts was used.ResultsIn our sample, MetS was present in 32% of men, 34% of women, 28% of younger adults (18-65 years) and 62% of older adults (>65 years) with 14,989 deaths over 14.6 ± 7.4 years of follow-up. Risk of all-cause mortality was higher in younger individuals with a greater number of MetS factors present, but in older adults having all 5 MetS factors was the only combination significantly associated with mortality. Regardless of age or sex, elevated blood pressure was the MetS factor most consistently present in MetS combinations that were significantly and most strongly associated with mortality. In fact, elevated blood pressure in the absence of other risk factors was significantly associated with mortality in men (HR, 95% CI = 1.56, 1.33-1.84), women (HR = 1.62, 1.44-1.81) and younger adults (HR = 1.61, 1.45-1.79). Conversely, waist circumference, glucose and triglycerides in isolation were not associated with mortality (p>0.05).ConclusionIn a large U.S. population, different combinations of MetS components vary substantially in their associations with all-cause mortality. Men, women and younger individuals with MetS combinations including elevated blood pressure had stronger associations with greater mortality risk, with minimal associations between MetS and mortality risk in older adults. Thus, we suggest that future algorithms may wish to consider differential weighting of these common metabolic risk factors, particularly in younger populations.

Summary To assess the effectiveness of liraglutide 3.0 mg in post‐bariatric surgery patients, and to determine whether this would differ based on the type of bariatric surgery. One hundred seventeen post‐bariatric surgery patients from the Wharton Medical Clinic were analysed. Changes in weight while taking liraglutide 3.0 mg were examined for all patients, and by three types of bariatric surgery—Roux‐en‐Y gastric bypass, gastric banding and gastric sleeve. Patients primarily underwent Roux‐en‐Y gastric bypass (n = 53, 45.3%) or gastric banding (n = 50, 42.7%). Over 7.6 ± 7.1 months taking liraglutide 3.0 mg, patients lost a statistically significant amount of weight (−6.3 ± 7.7 kg, P .05). This decrease in weight remained significant after 1‐year of taking liraglutide 3.0 mg (P

Background: We retrospectively examined the sex differences in the changes in (1) total fat, total and regional subcutaneous adipose tissue (SAT), visceral fat, and intermuscular fat and (2) total and regional skeletal muscle distribution in response to aerobic exercise (AE) or resistance exercise (RE) in adolescents with obesity. Methods: Twenty-eight boys and 27 girls with obesity (BMI ≥95th percentile, 12–18 years) were randomly assigned to 3-month interventions (180 minutes per week) of AE or RE. Changes in total and regional fat and skeletal muscle distribution were assessed by a whole-body magnetic resonance imaging. Results: After controlling for corresponding baseline values, age, and race, changes in body weight, BMI, BMI z-score, and waist circumference were similar between exercise groups (p > 0.05) and sexes (p > 0.05). There were no sex or exercise group differences in the reductions in total fat, total SAT, visceral fat, or intermuscular fat. With AE, boys had greater (p

Summary The aim of this article was to examine the associations between having had a sinus infection (SI) and BMI and physical activity (PA), diet quality, stress and/or sleep. A total of 2915 adults from the National Health and Nutrition Examination Survey 2005–2006 were examined. Logistic regression analysis was used to examine the association between having had an SI with BMI and PA, diet quality, stress or sleep. As these factors are known to influence one another, a fully adjusted model with PA, diet quality, stress and sleep was also constructed to examine their independent associations with having had an SI. Overall, 15.5 ± 1.2% of the population report having had an SI in the past year. In all models, individuals with obesity were approximately twice as likely to have had an SI compared to those of normal weight (P 0.05), individuals with stress and sleep troubles were also twice as likely to have had an SI (P

This study examined whether sucrose, fructose, aspartame, and saccharin influences the association between obesity and glucose tolerance in 2856 adults from the NHANES III survey. Aspartame intake significantly influenced the association between body mass index (BMI) and glucose tolerance (interaction: P = 0.004), wherein only those reporting aspartame intake had a steeper positive association between BMI and glucose tolerance than those reporting no aspartame intake. Therefore, consumption of aspartame is associated with greater obesity-related impairments in glucose tolerance.

Ability to accurately estimate calories is important for weight management, yet few studies have investigated whether individuals can accurately estimate calories during exercise or in a meal. The objective of this study was to determine if accuracy of estimation of moderate or vigorous exercise energy expenditure and calories in food is associated with body weight class or weight loss status.Fifty-eight adults who were either normal weight (NW) or overweight (OW), and either attempting (WL) or not attempting weight loss (noWL), exercised on a treadmill at a moderate (60% HRmax) and a vigorous intensity (75% HRmax) for 25 min. Subsequently, participants estimated the number of calories they expended through exercise and created a meal that they believed to be calorically equivalent to the exercise energy expenditure.The mean difference between estimated and measured calories in exercise and food did not differ within or between groups after moderate exercise. After vigorous exercise, OW-noWL overestimated energy expenditure by 72% and overestimated the calories in their food by 37% (P0.05). OW-noWL also significantly overestimated exercise energy expenditure compared with all other groups (P0.05) and significantly overestimated calories in food compared with both WL groups (P0.05). However, among all groups, there was a considerable range of overestimation and underestimation (-280 to +702 kcal), as reflected by the large and statistically significant absolute error in calorie estimation of exercise and food.There was a wide range of underestimation and overestimation of calories during exercise and in a meal. Error in calorie estimation may be greater in overweight adults who are not attempting weight loss.

Summary The objective of the study was to assess the interest, views and patient-perceived barriers to bariatric surgery among surgery-eligible patients. Surveys were completed at a weight management clinic and local hospital in Ontario, Canada. Patients were ≥18 years of age with a body mass index (BMI) >40 kg m−2 or BMI > 35 kg m−2 with ≥1 comorbidity. The sample included 105 participants, 73.3% female, with a mean BMI of 46.6 ± 7.1 kg m−2. Only 33.3% of participants were interested in surgery; 50.5% of participants were not interested and 16.2% had mixed feelings. Participants identified risks (69.5%) and side effects (57.1%) as significant surgical barriers. Interested participants were more likely to perceive themselves as obese, were unhappy with their current weight loss method and were less likely to fear surgery (P

This study aimed to compare weight loss (WL) outcomes for patients taking antidepressants and/or antipsychotics with those not taking psychiatric medication.A total of 17,519 adults enrolled in a lifestyle WL intervention at the Wharton Medical Clinics in Ontario, Canada, were analyzed. Sex-stratified multivariable linear regression analysis was used to examine the association of taking antidepressants, antipsychotics, both, or neither with WL when adjusting for age, initial weight, and treatment time.Twenty-three percent of patients were taking at least one psychiatric medication. Patients lost a significant amount of weight (P 0.0001) regardless of psychiatric medication use. Women taking psychiatric medications lost a similar amount of weight as women who were not (P 0.05). Conversely, men taking antidepressants lost only slightly less weight than men taking both classes or neither class of psychiatric medication (3.2 ± 0.3 kg vs. 5.6 ± 0.9 kg and 4.3 ± 0.1 kg; P 0.05). However, taking psychiatric medications that cause weight gain was associated with similar significant decreases in weight as taking medications that are weight neutral or associated with WL for both sexes (P 0.05).Results of this study suggest that those who participate in a weight management program can lose significant amounts of weight regardless of psychiatric medication use.

To examine whether a combined aerobic exercise and resistance exercise is more effective than either aerobic exercise or resistance exercise alone in improving insulin sensitivity and reducing total adiposity and ectopic fat in adolescents.A total of 118 sedentary adolescents with overweight/obesity (body mass index85th percentile, 12-17 years) were recruited from October 2013 through April 2017 at Children's Hospital of Pittsburgh. Participants were randomized to 1 of the following 6-month exercise groups (3 d/wk, 180 min/wk): aerobic exercise (n = 38), resistance exercise (n = 40), and combined aerobic exercise and resistance exercise (n = 40). The primary outcome was the change in insulin-stimulated glucose disposal by a 3-hour hyperinsulinemic-euglycemic clamp. The secondary outcomes were changes in liver fat by proton magnetic resonance spectroscopy and intermuscular adipose tissue by computed tomography.Of the 118 participants randomized, 85 participants (72%) completed the study with 90% exercise attendance. Total adiposity reduced similarly in all groups (-2%, P .05). After adjusting for age and sex, insulin-stimulated glucose disposal increased (P .05) in all groups, with the increase in the aerobic exercise group being greater than the resistance exercise group (1.7 ± 0.1 vs 0.7 ± 0.1 mg/kg/min, P .05) but not different from the combined group (1.2 ± 0.1 mg/kg/min). Liver fat was reduced (P .05) in the aerobic exercise (-0.6%) and combined (-0.6%) groups but not in the resistance exercise group (-0.3%, P .05). Intermuscular adipose tissue decreased (P .05) similarly in all groups.Combined aerobic exercise and resistance exercise and aerobic exercise alone are similarly beneficial in improving insulin sensitivity and reducing ectopic fat in adolescents with obesity.ClinicalTrials.gov: NCT01938950.

Introduction. One in three US adults is living with obesity or hypertension, and more than 75% of hypertensive individuals are using antihypertensive medications. Therefore, it is important to examine blood pressure (BP) differences in populations that are using these medications with differing obesity status. Aim. We examined whether BP attained when using various antihypertensive medications varies amongst different body mass index (BMI) categories and whether antihypertensive medication use is associated with differences in other metabolic risk factors, independent of BMI. Methods. Adults with hypertension from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 were used (n=15,285). Linear regression analyses were used to examine the main effects and interaction between antihypertensive use and BMI. Results. In general, users of antihypertensive medications had lower BP than those not taking BP medications (NoBPMed) (P<0.05), whereby in women, the differences in systolic BP between angiotensin-converting-enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) users and NoBPMed were greater in those with obesity (ACE inhibitors: −14 ± 1 mmHg; ARB: −16 ± 1 mmHg) compared to normal weight individuals (ACE inhibitors: −9 ± 1 mmHg; ARB: −11 ± 1 mmHg) (P<0.05). Diastolic BP differences between women ARB users and NoBPMed were also greatest in obesity (−5 ± 1 mmHg) (P<0.05) whilst there were no differences in normal weight individuals (−1 ± 1 mmHg) (P>0.05). Furthermore, glucose levels and waist circumference in women were higher in those using ACE inhibitors compared to diuretics (P<0.05). Conclusion. ACE inhibitors and ARBs may be associated with more beneficial BP profiles in women with obesity, with no obesity-related BP differences for antihypertensive medication in men. However, there could be potential cardiometabolic effects for some antihypertensive medications that should be explored further.

The predictive value of total 25-hydroxyvitamin D (25(OH)D, a biomarker of vitamin D status) in relation to lifetime risk of cardiometabolic mortality is not known. The purpose of this study was to determine the association between standardized and annualized total 25(OH)D levels and lifetime risk for cardiometabolic mortality in middle- to older-aged adults. In this study, we followed up 7958 participants in the Third National Health and Nutrition Examination Survey from 1988 to 1994 (NHANES III) until the occurrence of cardiometabolic death or attainment of 95 years of age (median follow-up 17.9 years, 1371 cardiometabolic-deaths). Lifetime risks were estimated according to recommended total 25(OH)D cutoffs by national guidelines, and a combination of total 25(OH)D status and traditional risk factor burden. We also explored variation in lifetime risk estimates by levels of body mass index (BMI). The results of this study showed that annualized total 25(OH)D30 nmol/L was associated with high lifetime risk of cardiometabolic mortality (40%). Lifetime risks of cardiometabolic mortality were similar for annualized levels between 30-50 nmol/L, 50-75 nmol/L and ≥75 nmol/L (31-33%). Lifetime risk was highest among participants with annualized total 25(OH)D30 nmol/L and ≥2 major traditional risk factors (45%), whereas lifetime risk was lowest among participants with annualized 25(OH)D ≥30 nmol/L and low-intermediate risk factors (28%). Lifetime risk estimates were similar across BMI categories. In conclusion, a single measurement of vitamin D deficiency (annualized levels30 nmol/L) in middle- to older-aged adults is a strong predictor of high lifetime risk for cardiometabolic mortality, particularly among those with high burden of traditional risk factors.