A reduction in carbohydrate intake and low-carbohydrate diets are often advocated to prevent and manage diabetes. However, limiting or eliminating carbohydrates may not be a long-term sustainable and maintainable approach for everyone. Alternatively, diet strategies to modulate glycemia can focus on the glycemic index (GI) of foods and glycemic load (GL) of meals. To assess the effect of a reduction in glycemic load of a 24 h diet by incorporating innovative functional ingredients (β-glucan, isomaltulose) and alternative low GI Asian staples (noodles, rice)on glycemic control and variability, twelve Chinese men (Age: 27.0 ± 5.1 years; BMI:21.6 ± 1.8kg/m2) followed two isocaloric, typically Asian, 24h diets with either a reduced glycemic load (LGL) or high glycemic load (HGL) in a randomized, single-blind, controlled, cross-over design. Test meals included breakfast, lunch, snack and dinner and the daily GL was reduced by 37% in the LGL diet. Continuous glucose monitoring provided 24 h glycemic excursion and variability parameters: incremental area under the curve (iAUC), max glucose concentration (Max), max glucose range, glucose standard deviation (SD), and mean amplitude of glycemic excursion (MAGE), time in range (TIR). Over 24h, the LGL diet resulted in a decrease in glucose Max (8.12 vs. 6.90 mmol/L; p = 0.0024), glucose range (3.78 vs. 2.21 mmol/L; p = 0.0005), glucose SD (0.78 vs. 0.43 mmol/L; p = 0.0002), mean amplitude of glycemic excursion (2.109 vs. 1.008; p < 0.0001), and increase in 4.5–6.5mmol/L TIR (82.2 vs. 94.6%; p = 0.009), compared to the HGL diet. The glucose iAUC, MAX, range and SD improved during the 2 h post-prandial window of each LGL meal, and this effect was more pronounced later in the day. The current results validate the dietary strategy of incorporating innovative functional ingredients (β-glucan, isomaltulose) and replacing Asian staples with alternative low GI carbohydrate sources to reduce daily glycemic load to improve glycemic control and variability as a viable alternative to the reduction in carbohydrate intake alone. These observations provide substantial public health support to encourage the consumption of staples of low GI/GL to reduce glucose levels and glycemic variability. Furthermore, there is growing evidence that the role of chrononutrition, as reported in this paper, requires further examination and should be considered as an important addition to the understanding of glucose homeostasis variation throughout the day.
Objectives: Despite being secreted exclusively by adipocytes, circulating adiponectin (ApN) is negatively associated with obesity. Moreover, obesity is traditionally viewed as leading to increased bone mass and density. Therefore, ApN may play a biological role in regulating fat and bone metabolism. The objective of this study is to evaluate the relationship between ApN, measures of obesity, and bone mineral density (BMD) in healthy adults living in Singapore. Methods: We conducted a cross-sectional study of 300 participants (112 men), and measured body composition (i.e., fat mass, fat-free mass, BMD, and bone mineral content) by dual-energy x-ray absorptiometry. Serum leptin and ApN levels were determined by radioimmunoassay. Results: Our results showed that serum ApN levels were significantly associated with obesity measures in both men and women, and the greater effect was observed in men. In contrast, the relationship between ApN and BMD was sex-dependent. Levels of ApN were negatively associated with BMD in women, but not in men. This relationship persisted even after adjustment for potential confounding factors, such as leptin and body mass index. Moreover, serum ApN was found to be a major determinant of BMD in women on the multivariate regression analysis. Conclusions: Our results suggest that ApN, an adipocyte-derived hormone, may affect bone metabolism, which may be mediated by sex hormones. (C) 2019 Elsevier Inc. All rights reserved.
•No associations between vitamin E levels, obesity measures, and bone mass in Singaporean adults.•α-tocopherol was associated with glucose metabolism and lipid disorders.•γ-tocopherol was positively associated with triglyceride.
Background and aims: High-sensitivity C-reactive protein (hs CRP) has emerged as an inflammatory biomarker to predict metabolic syndrome. Here, we investigate the association of hs CRP with metabolic variables and determine the risks for elevated hs CRP levels in healthy Singaporean adults. Methods: We conducted a cross-sectional study of 225 participants (104 men). The levels of hs CRP and fasting lipid parameters were analyzed by COBAS. Body composition was determined with dual-energy X-ray absorptiometry. Results: Twenty-one (9 %) participants had elevated hs CRP levels (>3 mg/mL). The levels of hs CRP had significant correlations (p <0.05) with obesity and metabolic variables among women. Stepwise multivariate regression analysis identified FM (%) (accounted for 22.5% of the variability in hs CRP levels) as a major determinant of hs CRP levels. On multivariate regression, FM (%) was the independent determinant of intermediate and elevated hs CRP in women after adjustment for the potential confounders. Conclusions: Obesity may play a direct role in the elevated hs CRP levels in women, but not men living in Singapore. This is probably due to different body composition or different effects of sex hormones on adipose tissue between men and women.
Few studies have been conducted to measure body composition in Asian populations. In this study, we determined the percent body fat (PBF) by using dual-energy X-ray absorptiometry (DEXA), air-displacement plethysmography (ADP or BOD POD), bioelectrical impedance analysis (BIA) and skinfold (SKF) in 445 healthy Singaporean adults. We observed that the BOD POD, BIA and SKF estimates of PBF were highly correlated with that from DEXA (as a reference method) among Singaporean adults. However, they all underestimated PBF (differences of 3.9% for BOD POD, 5.6% for BIA and 12.5% for SKF). Our results filled a gap in the literature by testing the relationships between DEXA and BOD POD, BIA and SKF in a large sample with a wide range of body mass index (BMI) from 16.1 to 37.5 kg/m2 and age from 21 to 69.2 years. The differences of PBF measured by different methods were dependent on age, gender and ethnicity. No significant difference was observed between DEXA and BOD POD in men aged > 40 or in BMI tertile 3. However, the mean difference between DEXA and BOD POD was significant in women. Different measuring methods of estimating PBF therefore must be cautiously interpreted.
Objectives: It has been demonstrated that leptin influences the energy balance by regulating appetite and increasing energy expenditure (EE). However, the relationship between circulating leptin and EE is confounded owing to variations in body composition. The aim of this study was to determine the role of circulating leptin in energy regulation and to examine whether the leptin-mediated changes in EE are associated with adiposity among healthy adults living in Singapore. Methods: We conducted a cross-sectional study of 300 participants (112 men). Resting metabolic rate (RMR) was measured by indirect calorimetry. Body composition (i.e., fat mass [FM] and fat-free mass [FFM]) was measured by dual-energy x-ray absorptiometry. Serum leptin levels were determined by radioimmunoassay. Results: There were strong correlations between circulating leptin levels, FM, and RMR in healthy men and women. After normalization of RMR by a power function model (kcal-kg FFM0.86.d(-1)), the influence of FFM can be effectively removed. The normalized RMR was significantly associated with both FM (r = 0.28, P < 0.001) and log leptin (r = 0.35, P < 0.001). In the stepwise multiple regression analysis, leptin level is the major predictor for normalized RMR, accounting for 12% of the variation. In contrast, FM did not explain any variation in normalized RMR. Conclusion: Leptin may be a more significant predictor of normalized RMR than FM per se. The contribution of FM to RMR could be via a mechanism that is related to leptin-dependent responses involved in energy homeostasis. (C) 2018 Elsevier Inc. All rights reserved.
OBJECTIVES:Regional fat accumulation may play an important role in the pathogenesis of metabolic syndrome (MetS) and cardiovascular diseases, yet the results are controversial. The aim of this study was to determine the relationship between regional fat accumulation and MetS as well as the underlying mechanism in Chinese adults. METHODS:We conducted a cross-sectional study of 428 Chinese adults (166 men and 262 women). Android and gynoid fat percentage (AFP and GFP) were measured by dual energy x-ray absorptiometry. Fasting lipid parameters were analyzed by chemistry analyzer COBAS. RESULTS:Forty-six (28%) men and 34 (13%) women had MetS according to the modified National Cholesterol Education Panel Adult Treatment Panel III definition for South Asia. AFP was strongly correlated with more metabolic risk factors than GFP in men. In women, AFP and GFP showed significant opposite effects on triacylglycerol, high-density lipoprotein cholesterol, and waist circumference. On multivariate regression, AFP was an independent determinant of MetS in men after adjustment for confounding factors. For women, both AFP and the homeostatic model assessment for insulin resistance were predictors for MetS. CONCLUSIONS:Increased android fat may play a direct role in the development of MetS in Chinese adults. However, the associations between android fat, insulin resistance, and MetS are sex-dependent. This is probably due to different effects of sex hormones on adipose tissue or by genetic factors between sexes. Knowing the sex differences in developing MetS may help design sex-specific preventive strategies that will benefit the overall population health.
Objectives: Insulin resistance (IR) is important in the pathogenesis of diabetes, the prevalence of which has become a major public health threat in Asia. The aim of this study was to use ultrasound measurements of abdominal fat thickness to predict IR and low high-density lipoprotein cholesterol (HDL-C) levels among Singaporean adults. Methods: A total of 399 healthy Singaporeans (mean age 36.7 +/- 14.3 y; 43.4% men) took part in this study. Preperitoneal fat thickness (PFT) and subcutaneous fat thickness (SFT) were determined by ultrasound. Result: We found that both PFT and SFT had significant positive correlations (P < 0.05) with fasting insulin concentration, homeostasis model assessment of insulin resistance, triacylglycerol (TG), and blood pressure, and negatively correlated to serum HDL-C in all participants. Separating men and women, PFT was an independent determinant of IR and low HDL-C only in men. On receiver-operating characteristic curve analysis, PFT >= 1.2 cm was the optimal cutoff value to identify IR and low HDL-C in men. On the other hand, SFT was the determinant of IR, elevated TG, and low HDL-C only in women. An SFT of 1.1 cm was the optimal cutoff value to define IR, elevated TG, and low HDL-C in women. Conclusions: Results of this study suggested that ultrasound measurements of PFT and SET could provide simple and useful indices of IR and lipid disorders for healthy Singaporean men and women. They might have the diagnostic values for predicting cardiovascular risks in this population. (C) 2018 Elsevier Inc. All rights reserved.
Obesity has long been highlighted for its association with increased incidence of cardiovascular disease (CVD). Nonetheless, the best adiposity indices to evaluate the CVD risk factors remain contentious and few studies have been performed in Asian populations. In the present study, we compared the association strength of percent body fat (PBF) to indirect anthropometric measures of general adiposity (body mass index (BMI) and body adiposity index (BAI)) and central adiposity (waist circumference (WC), and waist-to-hip ratio (WHR)) for the prediction of CVD risk factors in healthy men and women living in Singapore.