Metabolic syndrome and lifestyle-associated factors in the ethnically diverse population of Khuzestan, Iran: a cross-sectional study.

PURPOSE: Metabolic syndrome (MetS) is a cluster of risk factors, mainly central obesity, insulin resistance, and dyslipidemia, leading to life-threatening cardiovascular diseases. The prevalence of MetS can vary based on different ethnicities and many cultural and lifestyle factors. AIMS: We aimed to evaluate the prevalence of MetS and possible correlations with lifestyle-associated factors among different ethnicities in Khuzestan, Iran. METHODS: This cross-sectional study was conducted in Khuzestan province of Iran, among 30,504 participants aged 20-65 years, between October 2016 and November 2019. Data was collected through questionnaires along with anthropometric and biological measurements. The National Cholesterol Education Program Adult Treatment Panel III definition was used to estimate MetS prevalence. RESULTS: Overall, 31.9% (95% CI 31.4-32.4) had MetS (34.2% [95% CI 33.3-35.1] among males; 30.7% [95% CI 30.0-31.3] among females [p < 0.001]). Central obesity, elevated fasting blood sugar levels, and dyslipidemia were the most common abnormalities among those with MetS. The risk of MetS was estimated to increase by age, male gender, residing in urban regions, lower educational levels, lower physical activity levels, lower sleep time, and a positive family history of diabetes mellitus (p < 0.001). Individuals of the Arab and Bakhtiary ethnicities had the highest and lowest risk of MetS, respectively. CONCLUSION: MetS prevalence varied among different ethnicities. Aging and some lifestyle-associated factors such as physical activity and sleep time were related to the risk of MetS. Raising awareness about risk factors of MetS would be of great value in setting new health policies to manage the rising trend of MetS.

Association of anthropometric indices with cardiovascular disease risk factors among adults: a study in Iran.

AIMS: Cardiovascular diseases (CVDs) are the leading cause of death in the world. Many modifiable risk factors have been reported to synergistically act in the development of CVDs. We aimed to compare the predictive power of anthropometric indices, as well as to provide the best cut-off point for these indicators in a large population of Iranian people for the prediction of CVDs and CVD risk factors. METHODS AND RESULTS: All the data used in the present study were obtained from Khuzestan comprehensive health study (KCHS). Anthropometric indices, including BMI (body mass index), WC (waist circumference), HC (hip circumference), WHR (waist-to-hip ratio), WHtR (waist-to-height ratio), ABSI (a body shape index), as well as CVD risk factors [dyslipidaemia, abnormal blood pressure (BP), and hyperglycaemia] were recorded among 30 429 participants. WHtR had the highest adjusted odds ratios amongst anthropometric indices for all the risk factors and CVDs. WC had the highest predictive power for dyslipidaemia and hyperglycaemia [area under the curve (AUC) = 0.622, 0.563; specificity 61%, 59%; sensitivity 69%, 60%; cut-off point 87.95, 92.95 cm, respectively], while WHtR had the highest discriminatory power for abnormal BP (AUC = 0.585; specificity 60%; sensitivity 65%; cut-off point 0.575) and WHR tended to be the best predictor of CVDs (AUC = 0.527; specificity 58%; sensitivity 64%; cut-off point 0.915). CONCLUSION: In this study, we depicted a picture of the Iranian population in terms of anthropometric measurement and its association with CVD risk factors and CVDs. Different anthropometric indices showed different predictive power for CVD risk factors in the Iranian population.

Premature Coronary Artery Disease Is More Prevalent in People Who Go to Bed Late.

BACKGROUND: Little is known regarding the impact of quantity and quality of sleep on the incidence of cardiovascular disease. The aim of this study was to investigate the possible independent association of late bedtime and premature coronary artery disease (PCAD). METHODS: Between October 2016 and November 2019, we conducted a cross-sectional population-based study on 30101 participants aged 20-65 years in Khuzestan Comprehensive Health Study (KCHS). Data on major risk factors of cardiovascular disease, habit history, physical activity, and sleep behavior was gathered and participants underwent blood pressure, anthropometric, and serum lipid and glucose profile measurements. PCAD was defined as documented history of developing obstructive coronary artery disease before 45 years in men and before 55 years in women. RESULTS: Of a total of 30101 participants (64.1% female, mean age: 41.7±11.7 years) included in this study, 1602 (5.3%, 95% confidence interval: 5.1%-5.6%) had PCAD. Late bedtime was reported in 7613 participants (25.3%, 95% confidence interval: 24.9%-25.8%). Age-sex standardized prevalence for PCAD and late bedtime were 3.62 (3.43-3.82) and 27.8 (27.2-28.4), respectively. There was no significant difference (P=0.558) regarding prevalence of PCAD between those with late bedtime (5.5%, 95% CI: 4.9%-6.0%) and those with early bedtime (5.3%, 95% CI: 5.0%-5.6%). However, after adjustment for potential confounders, late bedtime was independently associated with PCAD (OR=1.136, 95% CI=1.002-1.288, P=0.046). CONCLUSION: In this study, late bedtime was significantly associated with presence of PCAD. Future prospective studies should elucidate the exact role of late bedtime in developing coronary atherosclerosis prematurely.