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Objectives: The global population is undergoing rapid aging, and the consequential decline in skeletal muscle mass with age presents substantial health risks, underscoring the importance of precise identification and gender-specific measurements. This study aimed to investigate the prevalence of low muscle mass among individuals aged > 60 years and identifying potential risk factors., Methods: This study, conducted within the framework of Phase VII of the Tehran Lipid and Glucose Study (TLGS), included 860 participants selected through meticulous inclusion and exclusion criteria, focusing on good health. Various demographic, anthropometric, and metabolic measurements were collected, and bioelectrical impedance analysis (BIA) was employed for skeletal muscle mass assessment. Multiple logistic regression analysis was conducted to evaluate associations between low muscle mass and various factors., Results: The prevalence of low skeletal muscle mass was 16.4% (CI: 14.06-19.03), with gender-based variations (20.24% (CI: 16.66-24.36) in males vs. 12.73% (CI: 9.92-16.19) in females). Multiple logistic regression analysis revealed associations between low muscle mass and increasing age, male gender, smoking, low physical activity, and higher HDL levels ( P  < 0.05). Protective effects were observed with higher BMI, weight, height, waist and hip circumference, and serum triglyceride levels ( P  < 0.05)., Conclusion: This study provides valuable insights into the prevalence and related factors of low skeletal muscle mass among older adults. Addressing modifiable risk factors and promoting healthy lifestyle behaviors are crucial steps in preventing and managing sarcopenia. Further longitudinal research is recommended to explore causal pathways and inform targeted interventions for optimizing muscle health across the lifespan., Competing Interests: Competing interestsNone., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background: Assessing body fat levels in particular groups is crucial, because excess body fat plays a significant role in various metabolic disorders. The purpose of the present study is to recognize optimal sex-specific reference values of percent body fat (PBF) in a healthy Iranian population using a statistical approach to normality., Methods: In this cross-sectional study, among the 7986 participants who had bioelectrical impedance analyzer (BIA) data, after considering the exclusion criteria, 212 healthy individuals with the age of 20-30 years old (89 men and 123 women), with the lowest PBF values, were selected from Tehran Lipid and Glucose Study (TLGS). Height, weight, waist circumference, and PBF were obtained. Data of blood tests, including the lipid and glucose profiles, were also gathered. PBF was measured using a BIA. The relation between PBF and age was evaluated using second-degree regression models. Reference values for males and females were established considering the 95th percentile values of PBF for young reference groups., Results: The lower values of body fat mass for men and women were 16.6 ± 4.9 and 31.1 ± 5.4 Kg, respectively and the age at the lower PBF was between 20 and 30 years. The cutoff points for PBF were 38.7% and 22.5% for women and men, respectively., Conclusion: This study suggested specific PBF cutoff values for healthy Iranian adults of both sexes. More studies from different regions are required to obtain reference values for populations, enabling researchers to provide more reliable reports regarding obesity cutoff points., Competing Interests: Competing interestsNone., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background: The relationship between adiposity indicators and thyroid cancer (TC) risk has garnered increasing attention due to the rising prevalence of obesity and its potential impact on cancer incidence. We conducted a comprehensive meta-analysis to investigate this association across various effect measures., Method: Until July 2022, a comprehensive search of databases was conducted to identify cohort studies that assessed the association between adiposity and the development of TC. Meta-analysis was performed using random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Begg's tests., Results: A systematic literature search identified 27 eligible studies reporting odds ratios (OR), relative risks (RR), or hazard ratios (HR) as effect measures. Pooling the studies irrespective of the effect measure, a significant positive association between adiposity indicators and TC risk was observed, yielding an effect estimate of 1.16 (95% CI 1.12-1.21). The combined effect estimate for OR/RR studies was 1.10 (95%CI 1.04-1.17), while HR studies yielded an effect estimate of 1.20 (95%CI 1.13-1.26). Subgroup analyses revealed associations across different age groups, obesity indices, and regions, with some variations based on effect measure. Meta-regression identified follow-up duration as a confounding factor only in HR studies., Conclusion: The synthesis of 27 studies with diverse designs and populations underscores a robust positive association between adiposity and TC risk, providing compelling evidence for the potential role of increased adiposity in TC development., Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-024-01425-3., Competing Interests: Competing interestsNot applicable., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2024. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background: Chronic kidney disease (CKD) is a major global health concern with increasing prevalence and associated complications. Metabolic syndrome (MetS) has been linked to CKD, but the evidence remains inconsistent. We conducted a systematic review and meta-analysis to investigate the association between MetS and kidney dysfunction., Method: We conducted a comprehensive search of databases until December 2022 for cohort studies assessing the association between MetS and incident kidney dysfunction. Meta-analysis was performed using fixed and random effects models. Subgroup analyses were conducted to explore heterogeneity. Publication bias was assessed using Egger's and Begg's tests., Result: A total of 24 eligible studies, involving 6,573,911 participants, were included in this meta-analysis. MetS was significantly associated with an increased risk of developing CKD (OR, 1.42; 95% CI, 1.28, 1.57), albuminuria or proteinuria (OR, 1.43; 95% CI, 1.10, 1.86), and rapid decline in kidney function (OR, 1.25; 95% CI, 1.07, 1.47). Subgroup analyses showed a stronger association as the number of MetS components increased. However, gender-specific subgroups demonstrated varying associations., Conclusion: Metabolic syndrome is a significant risk factor for kidney dysfunction, requiring close renal monitoring. Lifestyle changes and targeted interventions may help reduce CKD burden. Further research is needed to understand the connection fully and assess intervention efficacy., Supplementary Information: The online version contains supplementary material available at 10.1007/s40200-023-01348-5., Competing Interests: Competing interestsNone., (© The Author(s), under exclusive licence to Tehran University of Medical Sciences 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Background: This research aimed to investigate the association between dietary patterns with severity of coronary artery stenosis, serum leptin-to-adiponectin ratio, and some related risk factors in patients with coronary artery disease referred for coronary angiography., Methods: This cross-sectional study was carried out on 191 men patients with known coronary disease aged 40-70 years whom were admitted to angiography ward of Ahvaz teaching hospital, Ahvaz, Iran. Dietary patterns were investigated using 161-item semi-quantitative food frequency questionnaire. Anthropometric indices; blood pressure; serum levels of adiponectin and leptin, blood levels of glucose, total cholesterol, HDL-C, LDL-C, and triglycerides were measured. Patients were categorized based on the severity of coronary artery disease [number of vessel involved-single (VD1), double (VD2), triple (VD3)]., Results: Three major dietary patterns were recognized using a factor analysis approach: western, healthy, and traditional patterns. Linear regression analysis demonstrated that there was a negative association between healthy dietary pattern with LDL-C, total cholesterol, and triglycerides. This dietary pattern was positively related to HDL-C. Both traditional and western dietary patterns were related to fasting blood glucose level and lipid profile. General obesity was positively associated with traditional and western dietary patterns. There was a positive relationship between central obesity with traditional and western dietary patterns, but a negative association was reported between the healthy dietary pattern and central obesity. Traditional and western dietary patterns demonstrated a significant positive relationship with serum leptin levels and ratio of L/A, and an inverse relationship with adiponectin. Healthy dietary pattern had a significant negative association with serum leptin levels and ratio of L/A. Healthy dietary pattern was negatively related to the severity of vessel stenosis. Patients in the third quartile of healthy dietary pattern were less likely to have vessel stenosis (OR = 43%, 95% CI: 0.07-0.87)., Conclusions: The findings show that adherence to a healthy dietary pattern was negatively associated with coronary artery stenosis and its related risk factors. However, adherence to western and traditional dietary patterns was positively related to coronary artery disease risk factors., Competing Interests: Competing interestsNone., (© Springer Nature Switzerland AG 2021.)

Objectives: This study aimed to investigate the effects of raw red beetroot consumption on metabolic markers and cognitive function in type 2 diabetes patients., Methods: In a quasi-experimental study, 44 type 2 diabetes patients (57 ± 4.5 years) consumed raw red beetroot (100 g, daily), for 8 weeks. Metabolic markers including body weight, glucose and lipid profile parameters, inflammatory and oxidative stress markers, paraoxonase-1 activity, hepatic enzymes, blood pressure and cognitive function were measured at the beginning and end of 8 weeks., Results: Raw red beetroot consumption resulted in a significant decrease in fasting blood sugar (FBS) levels (-13.53 mg/dL), glycosylated hemoglobin (HbA1c)(-0.34%), apolipoproteinB100 (ApoB100) (-8.25 mg/dl), aspartate aminotransferase (AST) (-1.75 U/L), alanine aminotransferase (ALT) (-3.7 U/L), homocysteine (-7.88 μmol/l), systolic (-0.73 mmHg) and diastolic blood pressure (-0.34 mmHg), anda significant increase in total antioxidant capacity (TAC) (105 μmol/L) and cognitive function tests (all P values <0.05). Other variables did not change significantly after the intervention., Conclusions: Raw red beetroot consumption for 8 weeks in T2DM patients has beneficial impacts on cognitive function, glucose metabolism and other metabolic markers., Competing Interests: Conflict of interestNone., (© Springer Nature Switzerland AG 2021.)