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Background: Although research has explored the association between atherogenic index of plasma (AIP) and prediabetes and diabetes, there is still not sufficient available evidence the role of physical activity (PA) in this relationship. Our purpose is to examine the complex connections between AIP, PA, and prediabetes and diabetes in a young and middle‐aged population. Methods: This study included 2220 individuals from the general population, aged 20–60 years. AIP was calculated from the logarithm of the triglyceride (TG) to high‐density lipoprotein cholesterol (HDL‐C) ratio. PA was assessed depending to the American Heart Association (AHA) criteria and categorized into medium‐high and low PA levels. We used binary logistic regression to explore associations and subsequently performed sensitivity and subgroup analyses. Results: The 2220 participants had a mean age of 38 years, with a mean AIP of −0.1185, and a prediabetes and diabetes prevalence of 7.2%. After adjusting for auxiliary variables, AIP was positively correlated with prediabetes and diabetes (odds ratio [OR]: 3.447, 95% confidence interval [CI]: 1.829–6.497). In the low PA population, the prevalence of prediabetes and diabetes raised significantly with higher AIP (OR: 3.678, 95% CI: 1.819–7.434). This association was not meaningful in the medium to high PA population (OR: 1.925, 95% CI: 0.411–9.007). Joint and sensitivity analyze results also showed agreement. Restricted cubic spline identified a linear relationship between AIP and the prevalence of prediabetes and diabetes. Notably, the prevalence significantly increases when AIP values exceed −0.16 (p for linearity <0.05). The findings revealed heterogeneity across subgroups stratified by sex and age. Conclusions: PA may modify the link as regards AIP with prediabetes and diabetes in young and middle‐aged populations. Adherence to PA prevents the adverse effects of abnormal glucose metabolism caused by dyslipidemia, particularly in women. [ABSTRACT FROM AUTHOR]

Abstract Background Although research has explored the association between atherogenic index of plasma (AIP) and prediabetes and diabetes, there is still not sufficient available evidence the role of physical activity (PA) in this relationship. Our purpose is to examine the complex connections between AIP, PA, and prediabetes and diabetes in a young and middle‐aged population. Methods This study included 2220 individuals from the general population, aged 20–60 years. AIP was calculated from the logarithm of the triglyceride (TG) to high‐density lipoprotein cholesterol (HDL‐C) ratio. PA was assessed depending to the American Heart Association (AHA) criteria and categorized into medium‐high and low PA levels. We used binary logistic regression to explore associations and subsequently performed sensitivity and subgroup analyses. Results The 2220 participants had a mean age of 38 years, with a mean AIP of −0.1185, and a prediabetes and diabetes prevalence of 7.2%. After adjusting for auxiliary variables, AIP was positively correlated with prediabetes and diabetes (odds ratio [OR]: 3.447, 95% confidence interval [CI]: 1.829–6.497). In the low PA population, the prevalence of prediabetes and diabetes raised significantly with higher AIP (OR: 3.678, 95% CI: 1.819–7.434). This association was not meaningful in the medium to high PA population (OR: 1.925, 95% CI: 0.411–9.007). Joint and sensitivity analyze results also showed agreement. Restricted cubic spline identified a linear relationship between AIP and the prevalence of prediabetes and diabetes. Notably, the prevalence significantly increases when AIP values exceed −0.16 (p for linearity

Abstract: Aim: To see the pattern of dyslipidaemia and Visceral Adiposity Index (VAI) at different stages of glucose intolerance in Indian population. Methods: Data of 600 subjects were considered for this analysis. Waist circumference and BMI were recorded. OGTT and lipid profile were done. Subjects were divided into three groups; Group 1 (Normoglycaemic), Group 2 (Prediabetes) and Group 3 (new DM). Subjects having one or more lipid parameters outside the targets recommended by ADA were considered to have dyslipidaemia. VAI, a sex-specific index, was calculated. Results: LDL-C was the most common isolated single abnormality (84.5%), followed by HDL-C (58.7%) and triglycerides (49.7%) among the total subjects. 73% had high LDL-C and 56% had low HDL-C even in normoglycaemic subjects. LDL-C abnormality was similar in prediabetes and diabetes. Commonest combination of two abnormalities was seen mainly with LDL-C and HDL-C. Mean VAI increased at different stages of glucose intolerance and VAI≥2.3 gave sensitivity of 61.2% and specificity of 59.7% to detect glucose intolerance. Conclusions: The most common single lipid abnormality was high LDL-C. Combination of two abnormalities was seen with LDL-C and HDL-C. VAI increased at different stages of glucose intolerance. These findings may be useful for targeting high-risk population. [Copyright &y& Elsevier]