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Obesity is a health disorder characterized by an increase in body weight, measured by waist circumference. High waist circumference is linked to potential development of non-communicable diseases. A systematic review study was used to explore health risks of high waist circumference through Google Scholar, Science Direct, Pubmed, and Proquest. Findings show that high waist circumference increased the risks of developing hypertension, type 2 diabetes mellitus, hypercholesterolemia, joint pain, low back pain, and hyperuricemia. It is recommended that government increase their role in raising public awareness to maintain healthy lifestyle.

Background Many studies have investigated the association between vitamin D and metabolic syndrome (MetS). However, few studies have investigated the association stratified by sex in the elderly. Therefore, we aimed to evaluate the association between vitamin D, MetS, and its components in Korean elderly men and women. Methods A total of 987 men and 1949 women aged ≥65 years were recruited through Korean Urban Rural Elderly cohort study. Serum 25-hydroxyvitamin D (25(OH)D) levels were categorized into 4 quartiles and all data were analyzed separately by sex. MetS was defined by the revised criteria of the National Cholesterol Education Program Adult Treatment Panel III. Results The participants in the lowest quartile of serum 25(OH)D showed a significant increase in the prevalence of high waist circumference, elevated triglyceride level, and low high-density lipoprotein cholesterol level, as well as MetS itself, in both men and women in a univariate analysis. After adjusting for potential confounders including age, smoking status, drinking status, exercise status, region of residence, seasonality, and parathyroid hormone level, the lowest 25(OH)D quartile group was associated with a higher risk of MetS (odds ratio [OR] 2.25, 95% confidence interval [CI] 1.48–3.43 in men and OR 1.65, 95% CI 1.27–2.16 in women) compared to the highest 25(OH)D quartile group as the reference group. However, no significant association was found between serum 25(OH)D levels and the prevalence of MetS components including hyperglycemia or hypertension in both men and women. Conclusions Low 25(OH)D levels were associated with increased odds of MetS; in particular, they were associated with MetS components of high waist circumference, hypertriglyceridemia, and low high-density lipoprotein-cholesterol, after adjusting for age, smoking, alcohol, exercise, region of residency, and seasonality, in men and women over 65 years old.

Introduction: Anthropometric measurements are simple, easy, cheap, and feasible methods used to estimate body fat. Regular exercise is very important for healthy life. Overweight and obesity are risk factors for hyperlipidemia and atherosclerosis. This study was aimed to correlate anthropometric parameters with lipid profile in healthy females performing regular exercise. Aims and Objectives: The aim of the study was to study correlation of body mass index (BMI), waist circumference (WC), and waist hip ratio (WHC) with lipid profile in females performing regular exercise. Materials and Methods: BMI, WC, hip circumference, and WHC measured using standard protocol. 2 mL blood sample collected after overnight fasting. ipid profile study for total cholesterol (TC), triglycerides, high-density lipoproteins, low-density lipoproteins (LDL), and very low-density lipoproteins was done using fully automated biochemical analyzer. Pearson’s correlation and Chi-square test used for statistical analysis. Results: BMI and WC showed statistically significant positive correlation with TC and LDL. WHR showed highly significant positive correlation with TC and LDL. Conclusion: BMI, WC, and WHR are showing significant positive correlation with TC and LDL. This underlies significance of regular exercise to maintain lipid profile in control range for good health.

Anthropometric measurements such as waist circumference (WC) and body mass index (BMI) are relatively easy to perform, non-invasive nature, and at the same time, they may have significant correlation with parameters like lipid profile. Results: This study clearly shows that all the lipid fractions such as triglycerides (TGs), total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), and very LDL-C (VLDL-C) are abnormally elevated in Type 2 DM (Group 2) when compared to controls (Group 1) except high-density lipoprotein cholesterol (HDL-C). Body Mass Index; Waist Circumference; Low-density Lipoprotein; High-density Lipoprotein (ProQuest: ... denotes formulae omitted.) INTRODUCTION Diabetes mellitus (DM) is a cluster of chronic metabolic diseases distinguished by high blood sugar resulting from fault in insulin secretion, insulin effect, or both. In type 2 DM, atherogenic dyslipidemia generally seen with its characteristic feature called as \"lipid triad\" which nothing but a combination of lipid abnormalities includes rise in serum triglycerides (TG), rise in low-density lipoprotein cholesterol (LDL-C), and fall in high-density lipoprotein cholesterol (HDL-C).

This chapter contains sections titled: Introduction – obesity and adiposity Prevalence of obesity and its relationship with metabolic risk in various ethnic sub‐groups Conclusion References

In the present study, we aimed to investigate whether chronic oral glutamine (Gln) supplementation may alter metabolic parameters and the inflammatory profile in overweight and obese humans as well as whether Gln may modulate molecular pathways in key tissues linked to the insulin action in rats. Thirty-nine overweight/obese volunteers received 30 g of Gln or alanine (Ala-control) for 14 days. Body weight (BW), waist circumference (WC), hormones, and pro-inflammatory markers were evaluated. To investigate molecular mechanisms, Gln or Ala was given to Wistar rats on a high-fat diet (HFD), and metabolic parameters, euglycemic hyperinsulinemic clamp with tracers, and Western blot were done. Gln reduced WC and serum lipopolysaccharide (LPS) in overweight volunteers. In the obese group, Gln diminished WC and serum insulin. There was a positive correlation between the reduction on WC and LPS. In rats on HFD, Gln reduced adiposity, improved insulin action and signaling, and reversed both defects in glucose metabolism in the liver and muscle. Gln supplementation increased muscle glucose uptake and reversed the increased hepatic glucose production, in parallel with a reduced glucose uptake in adipose tissue. This insulin resistance in AT was accompanied by enhanced IRS1 O-linked-glycosamine association in this tissue, but not in the liver and muscle. These data suggest that Gln supplementation leads to insulin resistance specifically in adipose tissue via the hexosamine pathway and reduces adipose mass, which is associated with improvement in the systemic insulin action. Thus, further investigation with Gln supplementation should be performed for longer periods in humans before prescribing as a beneficial therapeutic approach for individuals who are overweight and obese.

•Body mass index, waist circumference, waist-to-height ratio, and hip circumference are accurate anthropometric parameters to identify obesity.•Central obesity was significantly correlated with the hypertriacylglycerolmic waist phenotype.•Elevated body mass index and waist circumference are associated with an increased risk for non-communicable diseases.•To reduce the risk for non-communicable diseases, young women should undergo routine monitoring to assess and control their adiposity. Non-communicable diseases (NCDs) are linked to excessive adiposity and anthropometric indices can be used to identify those at risk. The aim of this study was to evaluate the precision of anthropometric indices in identifying obesity and risk factors for NCDs and to investigate the emergence of obesity-related NCDs in young women in Sri Lanka. We recruited 282 women 18 to 35 y of age from suburban and rural areas in Sri Lanka. We measured the women's height, weight, body mass index (BMI), waist circumference (WC), waist-to-hip ratio (WHR), waist-to-height ratio (WHtR), A Body Shape Index(ABSI), hip circumference (HC), hip index (HI), anthropometric risk index (ARI), fasting serum glucose, fasting serum insulin, homeostatic model assessment for insulin resistance, cholesterol, high-density lipoprotein, low-density lipoprotein, triacylglycerols, and ovulatory gonadal hormones (progesterone, testosterone). Comparisons were made between women with normal BMI and those who were overweight or obese using anthropometric and biochemical characteristics. The prevalence of obesity was highest in WC and in receiver operating characteristic analysis, BMI, WC, and WHtR showed higher sensitivity and lower 1-specificity as indicators of obesity. BMI had an area under the curve (AUC) of 1.000 with 100% sensitivity and 0% 1-specificity. WC had an AUC of 0.941 with 80% sensitivity and 13.4% 1-specificity. Additionally, WHtR showed a 0.974 AUC, 92.1% sensitivity, and 4.9% 1-specificity. The correlations between body size and shapes were assessed among the study participants using Pearson's correlation. More than other measures, WC and WHtR showed a significant correlation with BMI with P < 0.05 (r = 0.888 and 0.737, respectively). Although ABSI and BMI showed only a weak correlation (P = 0.006, r = 0.162), WHR and BMI showed a moderate correlation (P = 0.001, r = 0.477). Although HI demonstrated a negative association with BMI (P = 0.618, r = –0.030), HC exhibited a strong association (P = 0.001, r = 0.749). A significant association with higher odds ratios was found for obesity-related NCD risk factors such as hypertension, homeostatic model assessment for insulin resistance, hypercholesterolemia, altered ovulatory hormones with these (BMI, WC, WHR, WHtR, ABSI, HI) obesity-assessing criteria (P < 0.05). A significant correlation between WC and hypertriacylglycerolmia (P = 0.001, r = 0.781, odds ratio, >16) was identified. A positive correlation was observed between all MS components and ARI, indicating that ARI may serve as a potential indicator of cardiometabolic risk. BMI, WC, WHtR, and HC are intercorrelated anthropometric measurements that can be used either alone or in combination to define obesity and detect the risk for NCDs, including diabetes mellitus, cardiovascular disease, and infertility. On the other hand, BMI, ABSI, and HI are designed to be mutually independent indices and have the advantage of combining the separate risks to generate an overall ARI. Furthermore, ARI appears to be a highly effective predictor of cardiovascular disease.

Background: Metabolic syndrome (Met-S) is considered one of the most important health problems of the 21st century. It includes a group of metabolic disorders that increase the risk of cardiovascular diseases such as overweight and obesity, elevated lipid profile and blood pressure and insulin resistance (IR). Based on the information mentioned above in which there seems to be a relationship between IR and Met-S, the objective of this work was twofold: on the one hand, to assess the relationship between the values of different insulin resistance risk scales and Met-S determined with three different scales, and on the other, to determine whether any of the components of Met-S predispose more to the appearance of IR. Methods: A descriptive cross-sectional study of 418,343 workers. Waist circumference was measured and evaluated together with six formulas to assess the insulin resistance index. Categorical variables were evaluated by calculating the frequency and distribution of each one. For quantitative variables, mean and standard deviation were determined, and Student’s t-test was applied, while for qualitative variables, the chi-square test was performed. The usefulness of the different risk scales for insulin resistance for predicting metabolic syndrome was evaluated using ROC curves, the area under the curve (AUC), as well as their cut-off points for sensitivity, specificity, and the Youden index. Results: People with metabolic syndrome applying any criteria had higher values in the IR risk scales. The different IR scales made it possible to adequately classify people with metabolic syndrome. Of the three definitions of Met-S, the one that showed the greatest relationship with IR was IDF. Conclusions: Most risk scales for insulin resistance enable the presence of metabolic syndrome to be adequately classified, finding the best ones if the International Diabetes Federation (IDF) criteria are applied. Of the elements included in the Met-S, the one that seems to increase the risk of presenting IR the most is waist circumference; hence, the Met-S definition that is most related to IR is that of the IDF, which is the only one of the three in which a high value of waist circumference is necessary to be able to diagnose Met-S. Waist circumference can be considered the central essential component for detecting insulin resistance and, therefore, the early detection of metabolic syndrome.

Increasing evidence suggests that high consumption of ultra-processed foods (UPF) is associated with an increase in non-communicable diseases, overweight and obesity. The present study systematically reviewed all observational studies that investigated the association between UPF consumption and health status. A comprehensive search of MEDLINE, Embase, Scopus, Web of Science and Google Scholar was conducted, and reference lists of included articles were checked. Only cross-sectional and prospective cohort studies were included. At the end of the selection process, twenty-three studies (ten cross-sectional and thirteen prospective cohort studies) were included in the systematic review. As regards the cross-sectional studies, the highest UPF consumption was associated with a significant increase in the risk of overweight/obesity (+39 %), high waist circumference (+39 %), low HDL-cholesterol levels (+102 %) and the metabolic syndrome (+79 %), while no significant associations with hypertension, hyperglycaemia or hypertriacylglycerolaemia were observed. For prospective cohort studies evaluating a total population of 183 491 participants followed for a period ranging from 3·5 to 19 years, highest UPF consumption was found to be associated with increased risk of all-cause mortality in five studies (risk ratio (RR) 1·25, 95 % CI 1·14, 1·37; P < 0·00001), increased risk of CVD in three studies (RR 1·29, 95 % CI 1·12, 1·48; P = 0·0003), cerebrovascular disease in two studies (RR 1·34, 95 % CI 1·07, 1·68; P = 0·01) and depression in two studies (RR 1·20, 95 % CI 1·03, 1·40; P = 0·02). In conclusion, increased UPF consumption was associated, although in a limited number of studies, with a worse cardiometabolic risk profile and a higher risk of CVD, cerebrovascular disease, depression and all-cause mortality.

Background The association between the atherogenic index of plasma (AIP), its modified indices (such as AIP-waist circumference [AIP-WC], AIP-waist-to-height ratio [AIP-WHtR], AIP-body mass index[AIP-BMI]), and incident stroke in individuals with cardiovascular-kidney-metabolic (CKM) stages 0–3 remains understudied. This study investigated these associations and their utility for risk stratification. Methods Data from 3697 China Health and Retirement Longitudinal Study (CHARLS) participants (≥ 45 years, CKM stages 0–3) were analyzed. Baseline, cumulative, and changes in AIP and its modified indices (AIP-WC, AIP-WHtR, AIP-BMI) were calculated. Logistic regression, Delong's test, integrated discrimination improvement (IDI), weighted quantile sum (WQS) regression, and mediation analysis were used to assess associations, predictive performance, component contributions, and mediation effects. Results Stroke occurred in 4.8% of participants. Under the fully adjusted Model 3: The third level of AIP, AIP-WHtR, AIP-WC, and AIP-BMI showed increased risks (ORs 1.58 [95% CI 1.05–2.38], 1.99 [95% CI 1.31–3.02], 1.99 [95% CI 1.31–3.02], and 1.92 [95% CI 1.26–2.92], respectively); The third level of cumulative AIP, AIP-WHtR, AIP-WC, and AIP-BMI showed elevated risks (ORs 1.79 [95% CI 1.19–2.69], 2.07 [95% CI 1.37–3.13], 2.01 [95% CI 1.33–3.04], and 1.92 [95% CI 1.27–2.89], respectively); The third category of AIP, AIP-WHtR, AIP-WC, and AIP-BMI changes showed risk increases of 2.28 (95% CI 1.46–3.55), 2.39 (95% CI 1.50–3.79), 2.56 (95% CI 1.61–4.07), and 2.22 (95% CI 1.38–3.56). Modified AIP indices (especially AIP-WHtR) demonstrated superior predictive ability than AIP alone. The association was amplified in advanced CKM (stages 2–3) but not significant in early CKM (stages 0–1). Triglycerides (TG) primarily drove the AIP-WHtR-stroke risk, which was partially mediated by estimated pulse wave velocity (ePWV) (6.48%). Conclusions AIP and its modified indices, especially AIP-WHtR, are significantly associated with incident stroke in CKM stages 0–3. Dynamically monitoring changes in these indices is crucial for stroke risk assessment and stratification, particularly in advanced CKM. TG primarily drives this risk, while ePWV partially mediates the AIP-WHtR-stroke link. Graphic abstract