Relationship between body adiposity index and serum glycemic level among post menupausal women in Muritala Muhammad Specialist Hospital Kano, Nigeria

Body adiposity index (BAI) is documented to exhibit significant relationship with the component of metabolic syndromes (MetS) including serum glucose. The relationship between BAI and serum glucose among postmenopausal women has not been well studied. This study was aimed at determining the relationship between BAI and serum glycemic level among postmenopausal women. The study design was observational crosssectional. Fasting serum glucose was obtained via superficial vein venipuncture after at least eight hours of meal and was analysed following standard biochemical procedure. Standard techniques for anthropometric measurement were used in obtaining the standard parameters. Chi-square was used to determine the relationship between body mass index (BMI) and clinically accepted categorical subdivision of fasting blood sugar (FBG). A total of 156 postmenopausal women with mean age of 62.70 ± 12.84 years, height (1.58 ± 0.07) m, weight (67.30 ± 17.68) kg, hip circumference (99.94 ± 12.75) cm, waist circumference (86.56 ± 14.25) cm, BAI (32.61 ± 6.78), BMI (27.05 ± 6.90) kh/m2 and fasting blood sugar (FBS) (5.21 ± 2.78mmol/L) were assessed in the here was significant positive correlation between BAI and BMI (r = 0.877, P = 6.97x10-51) and not between BAI and FBG (r = 0.026, P = 0.748). In conclusion BAI was not significantly associated with serum glycemic level among post-menopausal women.

Body Adiposity Index Is Predictive of Weight Loss after Roux-en-Y Gastric Bypass

<b><i>Background/Aims:</i></b> Roux-en-Y gastric bypass (RYGB) is one of the most effective therapies for morbid obesity, yet some patients who have taken the surgery still undergo insufficient weight loss. Visceral adiposity index (VAI), lipid accumulation product (LAP), body adiposity index (BAI), and cardiometabolic index (CMI) have been regarded as clinical indicators of adiposity phenotypes that associated closely with obesity-related metabolic diseases. However, no studies have evaluated the relationship between these indexes and weight loss after bariatric surgery. In this prospective study, we aimed to evaluate whether VAI, LAP, BAI, and CMI would predict postoperative weight loss outcomes after RYGB. <b><i>Methods:</i></b> This study included 38 men and 67 women who have undergone RYGB between January 2017 and May 2018 and recorded their %TWL (percent of total weight loss), %EBMIL (percent of excess body mass index loss), %EWL (percent of excess weight loss), anthropometric indices, and biochemical parameters before and 12 months after the surgery. In addition, VAI, LAP, BAI, and CMI were measured with anthropometric measures or lipid profiles using related equations and analyzed with metabolic characteristics. <b><i>Results:</i></b> Subjects with lower BAI (&#x3c;32.54 in men and 37.39 in women) displayed higher %EBMIL and %EWL 12 months after surgery. BAI was independently associated with %EWL 12 months after surgery in both men and women (both <i>p</i> &#x3c; 0.05). The area under the receiver operating characteristic curve for BAI was significantly higher (0.773 in men and 0.818 in women) than VAI, LAP, and CMI. <b><i>Conclusions:</i></b> BAI serves as a reliable surrogate marker of the weight loss outcome after RYGB. The predictivity of adiposity indexes in beneficial outcomes after weight loss therapies is of important referential value for the implementation and optimization of individualized and refined weight loss treatments for obese patients.

Body adiposity index and associated factors in workers of the furniture sector

Obesity represents one of the main cardiovascular risk factors with high prevalence among the Brazilian population. The aim of this study was to assess body adiposity index (BAI) and associated factors in workers of the furniture sector. A descriptive study was conducted with 204 workers of the furniture sector in the city of Ubá-MG of both sexes aged 20-70 years. Working sector, economic class, level of physical activity, body mass index, waist circumference, abdominal circumference, waist-to-hip ratio, systolic and diastolic blood pressure, fasting glycemia, total cholesterol, high density lipoprotein, low density lipoprotein and triglycerides were assessed. Odds ratio (RC) was used to determine the strength of association among variables. Of the total number of individuals assessed, 50% had high BAI, presenting higher anthropometric, blood pressure, glucose and triglyceride values (p <0.05). It was observed that advanced age (RC: 2.76; p = 0.002) and production sector (RC: 2.52; p = 0.045) were significantly associated with BAI. According to economic class and level of physical activity, increase in BAI was observed with reduction of economic class. It could be concluded that high percentage of increased BAI was found among workers, with association with age, working sector and economic class.

Predictive Power of Body Visceral Adiposity Index, Body Adiposity Index and Body Mass Index for Type 2 Diabetes in Qatari Population

Background: The prevalence of type 2 diabetes (T2D) has increased recently in Qatar. Body mass index (BMI) is a predictor of T2D in many populations. However, BMI is based on height and weight measurements and not on body adiposity. Therefore, the utility of BMI for predicting the risk of T2D has been questioned, and visceral adiposity (VAI) appears to be a better predictor of T2D. Objective: This study is aimed to assess the relative effectiveness of visceral adiposity index (VAI) and body adiposity index (BAI), in comparison with body mass index (BMI), for T2D among Qatari adults. Methodology: A random sample of 1103 adult Qatari nationals over 20 years old were included in this study; this data was obtained from the Qatar National Biobank. We performed a multivariate logistic regression to examine the association between VAI, BAI, BMI, and T2D, and computed zscores for VAI, BAI and BMI. Results: VAI z-scores showed the strongest association with the risk of T2D (OR, 1.44; 95% CI: 1.24–1.68) compared with the zscores for BAI (OR, 1.15; 95% CI: 0.93–1.43) and BMI (OR, 1.33; 95% CI: 1.11–1.59). Subgroup analyses indicated that the association was stronger between VAI and T2D in Qatari women than in men. Conclusion: VAI was a strong and independent predictor of T2D among the Qatari adult population. Therefore, VAI could be a useful tool for predicting the risk of T2D among Qatari adults.