Protocol Design for Large–Scale Cross–Sectional Studies of Surveillance of Risk Factors of Non–Communicable Diseases in Iran: STEPs 2016

INTRODUCTION: The rise in non-communicable diseases (NCDs) has gained increasing attention. There is a great need for reliable data to address such problems. Here, we describe the development of a comprehensive set of executive and scientific protocols and instructions of STEPs 2016. METHODS/DESIGN: This is a large-scale cross-sectional study of Surveillance of Risk Factors of NCDs in Iran. Through systematic proportional to size cluster random sampling, 31,050 participants enrolled in three sequential processes, of completing questionnaires; physical measurements, and lab assessment. RESULTS: Out of 429 districts, samples were taken from urban and rural areas of 389 districts. After applying sampling weight to the samples, comparing the distribution of population and samples, compared classification was determined in accordance with the age and sex groups. Out of 31,050 expected participants, 30,541 participant completed questionnaires (52.31% female). For physical measurements and lab assessment, the cases included 30,042 (52.38% female) and 19,778 (54.04% female), respectively. DISCUSSION: There is an urgent need to focus on reviewing trend analyses of NCDs.To the best of our knowledge, the present study is the first comprehensive experience on systematic electronic national survey. The results could be also used for future complementary studies

Association between being metabolically healthy/unhealthy and metabolic syndrome in Iranian adults

Introduction The prevalence of metabolically healthy obesity (MHO) varies based on different criteria. We assessed the prevalence of MHO and metabolic unhealthiness based on body mass index (BMI) and their association with metabolic syndrome (MetS) in a nation-wide study. Methods Data were taken from the STEPs 2016 study, from 18,459 Iranians aged ≥25 years. Demographic, metabolic, and anthropometric data were collected. Subjects were stratified by BMI, metabolic unhealthiness, and having MetS. The latter was defined based on National Cholesterol Education Program Adult Treatment Panel III 2004 (NCEP ATP III), was then assessed. Results The prevalence of MHO and metabolic unhealthiness in obese subjects was 7.5% (about 3.6 million) and 18.3% (about 8.9 million), respectively. Most of the metabolic unhealthy individuals were female (53.5%) or urban residents (72.9%). Low physical activity was significantly and positively associated (Odds Ratio: 1.18, 95% CI: 1.04–1.35) with metabolic unhealthiness, while being a rural residence (0.83, 0.74–0.93), and having higher education (0.47, 0.39–0.58) significantly but negatively affected it. Dyslipidemia was the most frequent MetS component with a prevalence rate of 46.6% (42.1–51.1), 62.2% (60.8–63.6), 76.3% (75.1–77.5), and 83.4% (82.1–84.6) among underweight, normal weight, overweight and obese phenotypes, respectively. Conclusion BMI aside, an additional set of criteria such as metabolic markers should be taken into account to identify normal weight but metabolically unhealthy individuals. Given the highest prevalence of dyslipidemia among obese subjects, further interventions are required to raise public awareness, promote healthy lifestyles and establish lipid clinics

Alcohol consumption among Iranian population based on the findings of STEPS survey 2021

Abstract Alcohol production and consumption have been prohibited in Iran for over four decades, leading to a typical underestimation of its consumption. This study aimed to assess the prevalence of alcohol consumption, its associated factors, and estimate per capita alcohol consumption among Iran’s adult population. In this population-based survey, 27,874 adults from across Iran were selected using systematic proportional-to-size cluster sampling. Alcohol consumption was evaluated through a modified Persian version of the STEPS questionnaires from previous studies, applied over different timespans. Per capita consumption was calculated using the quantity-frequency method, expressed in liters of pure alcohol. Adjusted odds ratios were reported for associates of alcohol consumption concerning metabolic risk factors, sociodemographic elements, and lifestyle variables. The prevalence of lifetime alcohol consumption was 6.9% (95% CI 6.5–7.2) in the adult population, with a notable sex difference (males: 13.7% [95% CI 13–14.4]; females: 1.4% [95% CI 1.1–1.6]). The 12 month prevalence was 3.8% (95% CI 3.6–4.1). For individuals aged 18 and older, the per capita alcohol consumption in Iran was 0.12 L. Factors such as being a lifetime smoker, younger, wealthier, and having 7–12 years of education were significantly linked to higher alcohol consumption. Significant associations were also observed between alcohol consumption and having a history of heart attacks (OR = 2.04, 95% CI 1.44–2.89), and physical injuries (OR = 1.88, 95% CI 1.34–2.64). The estimated lifetime and 12-month prevalence of alcohol use in our study were higher among some of the subpopulations. The findings also revealed a complex relationship between alcohol consumption, behavioral risk factors, and metabolic profiles. Consequently, immediate preventive measures tailored to each factor’s association with alcohol use are recommended

Provincial distribution of alcohol drinking (%) within the past year.

Provincial distribution of alcohol drinking (%) within the past year.</p

Current alcohol drinking prevalence map of Iran, 2016, https://www.openstreetmap.org/copyright.

Current alcohol drinking prevalence map of Iran, 2016, https://www.openstreetmap.org/copyright.</p

Drinking frequency in last 12 months (at national level by age groups).

Drinking frequency in last 12 months (at national level by age groups).</p

Pattern of alcohol consumption in Iran in 2016 (National Level).

Pattern of alcohol consumption in Iran in 2016 (National Level).</p

Association of alcohol related disorders with alcohol consumption in logistic regression models: Result from the National Surveillance of Non-Communicable Disease Survey (STEPs).

Association of alcohol related disorders with alcohol consumption in logistic regression models: Result from the National Surveillance of Non-Communicable Disease Survey (STEPs).</p

The alcohol drinking status and demographic characteristics in Iran, 2016 (National Level).

The alcohol drinking status and demographic characteristics in Iran, 2016 (National Level).</p

Distribution of alcohol drinking among age group by sex and residential status.

Distribution of alcohol drinking among age group by sex and residential status.</p