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Background: Data about the relation between dietary insulin load (DIL) and dietary insulin index (DII) with metabolic syndrome (MetS) and obesity are scarce. Therefore, the present study aimed to examine the association of the insulinemic potential of the diet with MetS and obesity amongst Iranian adults. Methods:This cross-sectional study was conducted amongst 850 adults aged 20-59 years. Dietary data were collected using a 168-item food frequency questionnaire. DIL was calculated using a standard formula and DII was obtained by dividing DIL by the total energy intake of each participant. The guidelines of the International Diabetes Federation were used to define MetS. General obesity was considered as body mass index ≥ 30 kg/m 2 , and abdominal obesity as waist circumference ≥ 94 cm for men and ≥ 80 cm for women.Results: Mean DIL and DII values were 101 684 ± 54 802 and 49.4 ± 33.4, respectively. The mean age of participants was 44.9 ± 10.7 years and 36.8%, 28.5% and 48.8% of participants were suffering from MetS, general and abdominal obesity, respectively. In contrast with DIL (P = .73), participants in the last quartile of DII (P = .62) had lower odds of MetS than the first quartile. There were non-significant inverse associations between DIL (P = .91, P = .85) and DII (P = .59, P = .53) with odds of general and abdominal obesity before and after the adjustment of confounders, respectively. Conclusions:We did not observe any significant association of DIL and DII with the risk of MetS and obesity amongst the Iranian population. Further prospective studies are needed to confirm the findings of this study.

Background: We investigated the association between plant-based diets indices – an overall plant-based diet index; a healthful plant-based diet index; and an unhealthful plant-based diet index – and metabolic syndrome among Iranian older adults. Aim: We aimed to examine the relationship between plant-based diet indices and metabolic syndrome. Methods: This cross-sectional study included 178 older adults (51 men and 127 women), with a mean age of 67.04 (60–83) who were referred to health centers in Tehran, Iran. Blood and urine samples were collected to measure serum total cholesterol, low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides. We created an overall plant-based diet index, healthful plant-based diet index, and unhealthful plant-based diet index from semi-quantitative food-frequency questionnaire data. Anthropometric measures were done. Results: Our crude model results showed that triglycerides, systolic and diastolic blood pressure, fasting blood sugar, high-density lipoprotein cholesterol, and waist circumference did not significantly differ between tertiles of plant-based diet index and healthful plant-based diet index; also triglycerides, systolic and diastolic blood pressure, fasting blood sugar, and waist circumference did not significantly differ between tertiles of unhealthful plant-based diet index, but high-density lipoprotein cholesterol significantly differed between tertiles of unhealthful plant-based diet index. After adjusting for confounders the results remained non-significant for plant-based diet index but high-density lipoprotein cholesterol was significant for healthful and unhealthful plant-based diet indices. There was also no significant association between plant-based diet index (OR: 1.11; 95% CI: 0.53–2.33), healthful plant-based diet index (OR: 0.81; 95% CI: 0.39–1.68), and unhealthful plant-based diet index (OR: 0.81; 95% CI: 0.38–1.72) with metabolic syndrome, even after adjustment for confounders. Conclusions: Our findings showed that plant-based diets are not significantly associated with risk of metabolic syndrome in older adults. To confirm the veracity of these findings, more studies should be conducted.

The increasing prevalence of overweight and obesity in both developed and developing countries has become a global problem. 1 Obesity is associated with an increasing prevalence of metabolic syndrome (MetS) and type 2 diabetes (T2D). 2 Insulin resistance, hyperglycaemia, dyslipidemia and high blood pressure are caused specifically by the accumulation of excess fat in the abdomen. The combination of these factors leads to MetS. Finally, it increases the risk of diseases such as T2D and cardiovascular disease (CVD). T2D is the most common disease of MetS. 3 Recent studies on dietary patterns focused on dietary energy density (DED) as a factor in the development of overweight and obesity. 4,5 DED is defined as the energy available on the weight of food

Background The association of plant‐based diets and biomarkers of bone, insulin, and inflammation is still unclear. Objectives We investigated the associations between biomarkers of bone, insulin, and inflammation and three plant‐based diet indices: an overall plant‐based diet index (PDI); a healthy plant‐based diet index (hPDI); and an unhealthy plant‐based diet index (uPDI). Methods We included 178 elderly subjects who referred to health centers in Tehran. Blood and urine samples were collected to measure osteocalcin. The Human C‐telopeptide of type Ⅰ collagen (u‐CTX‐I), highly sensitive C‐reactive protein (hs‐CRP), parathyroid hormone (PTH), 25(OH) D, and insulin resistance and sensitivity. We created an overall PDI, hPDI, and uPDI from semi‐quantitative food frequency questionnaire (FFQ) data. Results Dietary groups of Vegetables (r = .15, p = .03), nuts (r = .16, p = .03), dairy (r = .25, p = .001), eggs (r = .27, p < .001), red meat, and animal products (r = .25, p = .001) were directly correlated with osteocalcin. Refined grains were also had a positive association with serum insulin concentration (r = .14, p = .04). PTH levels are inversely associated with PDI score (β = −0.18, p = .01). Also, serum insulin concentration was negatively associated with PDI score (β = −0.10, p = .04). Urine CTX‐1 levels were significantly associated with hPDI score (β = −0.06, p = .04). u‐CTX‐1 levels are inversely associated with uPDI score. This significance did not change with the adjustment of the confounders (β = −0.28, p < .001). Conclusions More adherence to PDI and hPDI and less in uPDI may have a beneficial effect on biomarkers of bone, inflammation, and insulin thus preserving chronic diseases.