International Journal of Obesity最新文献

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.

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.

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: 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.

Menopause accelerates metabolic dysfunction, including (pre-)diabetes, obesity and visceral adiposity. However, the effects of endocrine vs. chronological aging in this progression are poorly understood. We hypothesized that menopause, especially in the context of middle-age, would exacerbate the metabolic effects of a high fat diet. Using young-adult and middle-aged C57BL/6J female mice, we modeled diet-induced obesity via chronic administration of high fat (HF) diet vs. control diet. We modeled peri-menopause/menopause via injections of 4-vinylcyclohexene diepoxide, which accelerates ovarian failure vs. vehicle. We performed glucose tolerance tests 2.5 and 7 months after diet onset, during the peri-menopausal and menopausal phases, respectively. Peri-menopause increased the severity of glucose intolerance and weight gain in middle-aged, HF-fed mice. Menopause increased weight gain in all mice regardless of age and diet, while chronological aging drove changes in adipose tissue distribution towards more visceral vs. subcutaneous adiposity. These data are in line with clinical data showing that post-menopausal women are more susceptible to metabolic dysfunction and suggest that greater chronological age exacerbates the effects of endocrine aging (menopause). This work highlights the importance of considering both chronological and endocrine aging in studies of metabolic health.