Effect of Gender and Body Weight on Postprandial Glucose and Lipid Metabolism in Adults with Type 2 Diabetes

Abstract

Introduction: The magnitude of the healthcare problem of type-2-diabetes increases according to its association with several risk factors for cardiovascular diseases such as obesity and dyslipidemia.
 Methods: This study took place in the north-western region of Algeria. We aimed to assess the effect of body weight and gender on postprandial lipid and glucose in type-2-diabetes patients. 93 diabetic patients (age 55.65±13.81 years) were studied. Anthropometric parameters and body mass index (BMI) were measured. Fasting and postprandial (PP) glucose and lipid (total cholesterol, HDL-cholesterol, LDL-cholesterol, triglycerides, apo A-I and apo B) profiles were evaluated.
 Results: There were a positive correlation between postprandial glucose and BMI in women (r2 = 0.041). Negative correlation with BMI was noticed for PP TG in both males (r2 = 0.011) and females (r2 = 0.021). A significant difference (p= 0.019) was observed for PP HDL-c in women (0.39 ± 0.10 g/L vs. men 0.33 ± 0.12 g/L) and also for PP apo A-I (women: 1.33 ± 0.27 g/L vs. men: 1.09 ± 0.34 g/L; p= 0.0003). According to gender and weight groups, our results indicated that female gender and overweight are associated with elevated PP HDL-c and PP apo A-I levels. However, obesity in women is related to high concentration of PP TG.
 Conclusions: The present study suggests that gender difference and weight classes are important factors that contribute to determining the postprandial responses, both for glucose and lipids, in type 2 diabetic patients.
 Keywords: gender difference; postprandial dyslipidemia; type 2 diabetes; weight groups.

Epidemiological Features of Glycemic Levels and Relative Determinants at Different Altitudes Among Tibetans in China: A Cross-Sectional Population-Based Study

“…However, the current study found fewer risk factors in the study population of Tibetans in China. In previous studies, age, obesity, hypertension, TC levels, TG levels, living in low-income areas, alcohol consumption were confirmed as risk factors for DM at sea level (11)(12)(13)(14). With regard to age, FPG levels increase with age, with a 0.07-mmol/L increase in as a risk factor FPG levels each decade of life (11).…”

“…In addition, a study reported that median FPG level was 81.6 mg/dL for men living above 3,000 m and was significantly higher than that in non-pregnant adult women, who had a median FPG level of 71.7 mg/dL ( 19 ); thus, there are also sex differences in FPG levels at this altitude. Moreover, sex was closely related to the postprandial glucose response in patients with T2 DM in low-altitude ( 14 ). Thus, the relationship between sex and FPG in the present study is consistent with findings of previous studies.…”

High HDL-C and high LDL-C are risk factors of pterygium in a population-based cross-sectional study in Southern China: the Dongguan Eye Study

“…Given that serum lipid may be affected by sex, age and BMI level,27–29 we examined the associations between serum lipid and pterygium stratified by these three variables. As shown in table 4, among participants aged 40–49 years, each 1 mmol/L increase in HDL-C and LDL-C was associated with 72% higher (OR: 1.72, 95% CI: 1.21 to 2.44) and 26% higher (OR: 1.26, 95% CI: 1.06 to 1.48) risk of pterygium, respectively.…”

“…Parameters with p value <0.05 in the univariable analyses and other established risk factors for pterygium were adjusted in the models, and backward-conditional pattern was applied to filter the meaningful risk factors. To evaluate whether these relationships differ by pterygium risk factors, we did a subgroup analysis stratified by sex, age and BMI status those have been demonstrated to be involved in serum lipid 27–29. Heterogeneity across subgroups was assessed using the likelihood ratio test, comparing the difference in fit statistics between models with a cross-product term of serum lipid and subgroup variable and those without that term.…”

A comparison of urinary bladder weight in male and female mice across five models of diabetes and obesity

“…Diabetes manifests differently in male and female patients for various parameters including post-prandial glucose levels ( Diaf et al, 2014 ), glucose tolerance ( Mauvais-Jarvis, 2017 ), and insulin secretion and action ( Basu et al, 2017 ). Some of these differences were also found in euglycemic, non-obese subjects ( Chan et al, 2019 ).…”