International Journal of Obesity最新文献

Objective: Lifestyle interventions are effective, but those delivered via in-person group meetings have poor scalability and reach. Research is needed to establish if remotely delivered lifestyle interventions are non-inferior to in-person delivered lifestyle interventions.

Methods: We conducted a randomized non-inferiority trial (N = 329) to compare a lifestyle intervention delivered remotely and asynchronously via an online social network (Get Social condition) to one delivered via in-person groups (Traditional condition). We hypothesized that the Get Social condition would result in a mean percent weight loss at 12 months that was not inferior to the Traditional condition. Additional outcomes included intervention delivery costs per pound lost and acceptability (e.g., convenience, support, modality preferences).

Results: At 12 months, no significant difference in percent weight change was observed between the Get Social and Traditional conditions (2.7% vs. 3.7%, p = 0.17) however, criteria for non-inferiority were not met. The Get Social condition costs $21.45 per pound lost versus $26.24 for the Traditional condition. A greater percentage of Get Social condition participants rated participation as convenient (65% vs 44%; p = 0.001).

Conclusions: Results revealed a remotely-delivered asynchronous lifestyle intervention resulted in slightly less weight loss than an in-person version but may be more economical and convenient.

Trial registration: ClinicalTrials.gov NCT02646618; https://clinicaltrials.gov/ct2/show/NCT02646618 .

Objectives: A difference in cortical treatment of taste information could alter food intake promoting the development of obesity. The main purpose was to compare, in subjects living with obesity (OB) and normal-weight subjects (NW), the characteristics of gustatory evoked potentials (GEP) for sucrose solution (10 g.100 mL^-1) before and after a standard lunch. The secondary objective was to evaluate the correlations between GEP and the plasmatic levels of acylated ghrelin, leptin, insulin and serotonin.

Methods: Each subject had 2 randomized sessions spaced by an interval of 2 days. During one session, subjects were fasting and during the other, subjects took a lunch low in sugar. In each session, subjects had a blood test before a first GEP recording followed by a second GEP recording either after a lunch (feeding session) or no lunch (fasting session).

Results: Twenty-eight OB (BMI: 38.6 ± 9.0 kg.m^-2) were matched to 22 NW (BMI: 22.3 ± 2.2 kg.m^-2). GEP latencies were prolonged in OB regardless the sessions and the time before and after lunch, compared with NW (in Cz at the morning: 170 ± 33 ms vs 138 ± 25 ms respectively; p < 0.001). The increase in latency observed in NW after lunch was not observed in OB. Negative or positive correlations were noted in all participants between GEP latencies and ghrelin, leptin, insulin plasmatic levels (P1Cz, r = -0.38, r = 0.33, r = 0.37 respectively, p < 0.0001).

Conclusions: This study highlights a slower activation in the taste cortex in OB compared with NW.

Background: Obesity and diabetes mellitus (DM) have become public health concerns worldwide. Both conditions have severe consequences and are associated with significant medical costs and productivity loss. Additionally, Helicobacter pylori infection may be a risk factor for the development of these conditions. However, whether eradicating H. pylori infection directly causes weight loss or improves insulin sensitivity is unknown.

Methods: In this study, we confirmed the effect of sleeve gastrectomy according to the state of the gastric microbiota in 40 patients with obesity, DM, and H. pylori infection. Patients with obesity were divided into four groups: non-DM without H. pylori infection (ND), non-DM with H. pylori infection (ND-HP), DM, and DM with H. pylori infection (DM-HP) using 16S V3-V4 sequencing.

Results: In the DM group, ALT, hemoglobin, HbA1c, blood glucose, and HSI significantly decreased, whereas high-density lipoprotein significantly increased. However, in the H. pylori-positive group, no significant difference was observed. The diversity of gastric microbiota decreased in the order of the ND > DM > ND-HP > DM-HP groups. We also conducted a correlation analysis between the preoperative microbes and clinical data. In the ND-HP group, most of the top 20 gastric microbiota were negatively correlated with glucose metabolism. However, H. pylori infection was positively correlated with pre-insulin levels.

Conclusion: Therefore, these findings indicate that patients with obesity and diabetes clearly benefit from surgery, but H. pylori infection may also affect clinical improvement.

Objective: To evaluate the hypothesis that anthropometric dimensions derived from a person's manifold-regression predicted three-dimensional (3D) humanoid avatar are accurate when compared to their actual circumference, volume, and surface area measurements acquired with a ground-truth 3D optical imaging method. Avatars predicted using this approach, if accurate with respect to anthropometric dimensions, can serve multiple purposes including patient body composition analysis and metabolic disease risk stratification in clinical settings.

Methods: Manifold regression 3D avatar prediction equations were developed on a sample of 570 adults who completed 3D optical scans, dual-energy X-ray absorptiometry (DXA), and bioimpedance analysis (BIA) evaluations. A new prospective sample of 84 adults had ground-truth measurements of 6 body circumferences, 7 volumes, and 7 surface areas with a 20-camera 3D reference scanner. 3D humanoid avatars were generated on these participants with manifold regression including age, weight, height, DXA %fat, and BIA impedances as potential predictor variables. Ground-truth and predicted avatar anthropometric dimensions were quantified with the same software.

Results: Following exploratory studies, one manifold prediction model was moved forward for presentation that included age, weight, height, and %fat as covariates. Predicted and ground-truth avatars had similar visual appearances; correlations between predicted and ground-truth anthropometric estimates were all high (R²s, 0.75-0.99; all p < 0.001) with non-significant mean differences except for arm circumferences (%Δ ~ 5%; p < 0.05). Concordance correlation coefficients ranged from 0.80-0.99 and small but significant bias (p < 0.05-0.01) was present with Bland-Altman plots in 13 of 20 total anthropometric measurements. The mean waist to hip circumference ratio predicted by manifold regression was non-significantly different from ground-truth scanner measurements.

Conclusions: 3D avatars predicted from demographic, physical, and other accessible characteristics can produce body representations with accurate anthropometric dimensions without a 3D scanner. Combining manifold regression algorithms into established body composition methods such as DXA, BIA, and other accessible methods provides new research and clinical opportunities.

Background: Circulating insulin and insulin-like growth factor-1 (IGF-1) concentrations are positively correlated with adiposity. However, the causal effects of insulin and IGF-1 on adiposity are unclear.

Methods: We performed two-sample Mendelian randomization analyses to estimate the likely causal effects of fasting insulin and IGF-1 on relative childhood adiposity and adult body mass index (BMI). To improve accuracy and biological interpretation, we applied Steiger filtering (to avoid reverse causality) and 'biological effect' filtering of fasting insulin and IGF-1 associated variants.

Results: Fasting insulin-increasing alleles (35 variants also associated with higher fasting glucose, indicative of insulin resistance) were associated with lower relative childhood adiposity (P = 3.8 × 10^-3) and lower adult BMI (P = 1.4 × 10^-5). IGF-1-increasing alleles also associated with taller childhood height (351 variants indicative of greater IGF-1 bioaction) showed no association with relative childhood adiposity (P = 0.077) or adult BMI (P = 0.562). Conversely, IGF-1-increasing alleles also associated with shorter childhood height (306 variants indicative of IGF-1 resistance) were associated with lower relative childhood adiposity (P = 6.7 × 10^-3), but effects on adult BMI were inconclusive.

Conclusions: Genetic causal modelling indicates negative effects of insulin resistance on childhood and adult adiposity, and negative effects of IGF-1 resistance on childhood adiposity. Our findings demonstrate the need to distinguish between bioaction and resistance when modelling variants associated with biomarker concentrations.

Objectives: This study reports the development and pilot application of the Bariatric Surgery Assessment and Prioritisation Tool (BAPT) for use in a public health system. The BAPT was designed as a patient prioritisation instrument to assess patients with excessive weight and type 2 diabetes suitable for bariatric surgery. We assessed whether the instrument successfully identified those who gained the greatest benefits including weight loss, diabetes remission, reduction in comorbidities, and health-related quality of life (HR-QoL).

Methods: The BAPT instrument was applied to score 292 patients referred for bariatric surgery in Queensland between 2017 and 2020 based on their, body mass index, diabetes status, surgical risk (e.g. pulmonary embolism) and comorbidities (e.g. non-alcoholic steatohepatitis). These data were collected at referral and at 12-months post-surgery for 130 patients and stratified by BAPT scores. Outcomes included clinical and HR-QoL.

Results: Patients' BAPT scores ranged from 12 to 78 (possible range 2-98). Those with higher scores tended to be younger (p < 0.001), have higher BMI (p < 0.001) or require insulin to manage diabetes (p < 0.01). All patients lost similar percentages of body weight (20-25%, p = 0.73) but higher-scoring patients were more likely to discontinue oral diabetes medications (p < 0.001) and the improvement in glycated haemoglobin was four times greater in patients scoring 70-79 points compared to those scoring 20-29 (p < 0.05). Those who scored ≥ 50 on the BAPT were substantially more likely to obtain diabetes remission (57% vs 31%). BAPT scores of 40 and above tended to have greater improvement in HR-QoL.

Conclusions: The BAPT prioritised younger patients with higher BMIs who realised greater improvements in their diabetes after bariatric surgery. Higher-scoring BAPT patients should be prioritised for bariatric surgery as they have a greater likelihood of attaining diabetes remission.

Background: Current randomized trial evidence for the effects of physical activity intervention on weight change in adults was mainly from western countries, with little reliable evidence from low- and middle-income countries, such as China, where lifestyle factors and obesity patterns differ substantially from those in western countries. We examined the effects of physical activity intervention on weight change using cluster randomized trial data among Chinese older adults.

Methods: The cluster randomized controlled trial included an 8-week physical activity intervention period and was followed up to 24 months. Eight villages were randomly assigned to the intervention group (4 villages, n = 240) or the control group (4 villages, n = 268). The intervention group received physical activity intervention based on the socio-ecological model, while the control group did not. The intervention involved three levels: individual, interpersonal, and community levels, which aimed to promote leisure-time physical activity of participants. The primary outcome of the present study was the difference in percentage weight change at 24 months from baseline. We used Tanita BC-601 analyzer scales to measure weight and recorded it to the nearest 0.1 kg.

Results: Among the 508 participants, the mean age was 70.93 (SD, 5.69) years, and 55.5% were female. There were significant differences in percentage weight change between the intervention group and the control group with a mean change of -1.78% (95% CI, -2.67% to -0.90%; p < 0.001) in the total sample, -1.94% (95% CI, -3.14% to -0.73%; p = 0.002) in participants with overweight/obesity, and -1.45% (95% CI, -2.73% to -0.18%; p = 0.027) among participants with underweight/healthy weight in favor of the intervention group at 24 months.

Conclusions: Physical activity intervention resulted in weight loss in rural older sample at 24 months. This suggested that physical activity interventions are feasible for weight loss among older adults, especially for those with overweight/obesity or aged under 80.

Trial registration: The study has been registered on the Chinese Clinical Trial Registry on April 20, 2021 (ChiCTR2100045653), https://www.chictr.org.cn/showproj.html?proj=123704 .

Background and objectives: Individuals with obesity often face obesity bias, which may influence the delivery of appropriate medical care. Our aim is to evaluate the adequacy of therapeutic decisions regarding the pharmacological treatment for hypertension in patients with diabetes, both with and without obesity.

Methods: This is a multicentric cross-sectional study of patients with type 2 diabetes and arterial hypertension who received outpatient care in Southern Brazil. Participants were stratified into two groups according to their body mass index (BMI): lower weight (BMI < 25.0 kg/m2) and with obesity (BMI ≥ 30.0 kg/m2). The primary outcome evaluated was the difference in pharmacological treatment decisions for hypertension between groups, considering individualized hypertension targets from American Diabetes Association (ADA), European Society of Hypertension (ESH), and European Society of Cardiology (ESC) guidelines. Data were analyzed as a binary endpoint (failure to receive treatment intensification vs. receiving treatment intensification when necessary) and groups were compared using multivariable logistic regression.

Results: This study included 204 participants, of which 53 were at a lower weight and 151 had obesity. Patients with obesity more frequently failed to receive appropriate treatment intensification when compared to individuals with lower weight. The differences between the study groups were observed when considering the blood pressure target of three societies: ESH (adjusted OR 2.28 [95% CI 1.12-4.63], p = 0.022), ESC (adjusted OR 2.13 [95% CI 1.05-4.31], p = 0.035), and ADA (adjusted OR 2.33 [95% CI 1.13-4.77], p = 0.021).

Conclusion: These findings suggest that patients with obesity may face potential disparities in hypertension management, and obesity status may be related to therapeutic inertia in the management of arterial hypertension in this group.

Background: The association between body mass index (BMI) and mortality among individuals with renal cell cancer (RCC) is debated, with some observational studies suggesting a lower mortality associated with higher BMI. However, methodological issues such as confounding and reverse causation may bias these findings. Using BMI-associated genetic variants can avoid these biases and generate more valid estimates.

Methods: In this prospective cohort study, we included 1264 RCC patients (446 deaths) from the UK Biobank. We created a BMI polygenic score (PGS) based on 336 BMI-associated genetic variants. The association between the PGS and mortality (all-cause and RCC-specific) was evaluated by logistic regression (all RCC cases) and Cox regression (906 incident cases). For comparison, the associations of measured pre-diagnostic BMI and waist-to-hip ratio (WHR) with mortality were quantified by Cox regression among incident cases. We stratified these analyses by time between anthropometric measurement and RCC diagnosis to assess the influence of reverse causation.

Results: We did not observe an association between the BMI PGS and all-cause mortality among RCC patients (hazard ratio (HR) per SD increase = 0.98, 95% CI: 0.88,1.10). No association was found for pre-diagnostic BMI (HR per 5 kg/m² increase = 0.93, 95% CI: 0.83,1.04) or WHR (HR per 0.1 increase = 0.97, 95% CI: 0.83,1.13) with mortality. In patients with anthropometrics measured within 2 years before RCC diagnosis, we observed associations of higher BMI (HR per 5 kg/m² = 0.76, 95% CI: 0.59,0.98) and WHR (HR = 0.67 per 0.1 increase, 95% CI: 0.45,0.98) with a lower risk of death. Similar patterns were observed for RCC-specific mortality.

Conclusion: We found no association between either genetic variants for high BMI or measured pre-diagnostic body adiposity and mortality among RCC patients, and our results suggested a role for reverse causation in the association of obesity with lower mortality. Future studies should be designed carefully to produce unbiased estimates that account for confounding and reverse causation.