Background

The low physical activity (LPA) more or less affects every community. Because of high prevalence of cardiovascular diseases in Iran and their relationship with LPA, this study aimed to measure precisely the epidemic size of LPA and determine its relationship with six other coronary artery disease (CAD) risk factors among an urban population aged 15 to 75 years in Kerman, Iran.

Methods

Using household survey, 5895 adults were randomly recruited through single-stage cluster sampling from 250 postal codes. Demographic characteristics, blood pressure, blood glucose, cholesterol, triglyceride, smoking, opium use, mental status and physical activities at work, rest and recreation were assessed and ranked as low, moderate and intense. Adjusted odds ratio (AOR) was reported as a measure of the relationship between LPA and other CAD risk factors.

Results

The prevalence of low, moderate, and intense physical activity were 42.1% (40.3-43.9), 45.0% (43.6-47.4) and 12.4% (11.1-13.9), respectively. LPA showed a sudden rise from 36.8% to 45.4% after the age of 25 years. On average, women had less physical activity than men (45.1% vs. 39.2%, P= 0.01). Participants with low physical activity compared to those without physical activity had significantly higher chance of anxiety [odds ratio 1.39; confidence interval (95% CI) 1.08-1.79; P = 0.01], hypertension (1.59; 1.08-2.35; P = 0.02), hyper-cholesterolemia (1.37; 1.06-1.76; P = 0.02), cigarette smoking (1.52; 1.07-2.11; P = 0.01), opium addiction (1.47; 1.07-2.02; P = 0.02) and overweight/obesity (1.34; 1.05-1.71; P = 0.02).

Conclusion

LPA was very common in the studied population and almost half of the adults were at risk for CAD because of insufficient level of physical activity. Such risky life-style pattern makes the emerging of CAD epidemic unavoidable, if effective interventions not being in place timely to this community.

Educational attainment is an important social determinant of maternal, newborn, and child health^1-3. As a tool for promoting gender equity, it has gained increasing traction in popular media, international aid strategies, and global agenda-setting^4-6. The global health agenda is increasingly focused on evidence of precision public health, which illustrates the subnational distribution of disease and illness^7,8; however, an agenda focused on future equity must integrate comparable evidence on the distribution of social determinants of health^9-11. Here we expand on the available precision SDG evidence by estimating the subnational distribution of educational attainment, including the proportions of individuals who have completed key levels of schooling, across all low- and middle-income countries from 2000 to 2017. Previous analyses have focused on geographical disparities in average attainment across Africa or for specific countries, but-to our knowledge-no analysis has examined the subnational proportions of individuals who completed specific levels of education across all low- and middle-income countries^12-14. By geolocating subnational data for more than 184 million person-years across 528 data sources, we precisely identify inequalities across geography as well as within populations.

Since 2000, many countries have achieved considerable success in improving child survival, but localized progress remains unclear. To inform efforts towards United Nations Sustainable Development Goal 3.2-to end preventable child deaths by 2030-we need consistently estimated data at the subnational level regarding child mortality rates and trends. Here we quantified, for the period 2000-2017, the subnational variation in mortality rates and number of deaths of neonates, infants and children under 5 years of age within 99 low- and middle-income countries using a geostatistical survival model. We estimated that 32% of children under 5 in these countries lived in districts that had attained rates of 25 or fewer child deaths per 1,000 live births by 2017, and that 58% of child deaths between 2000 and 2017 in these countries could have been averted in the absence of geographical inequality. This study enables the identification of high-mortality clusters, patterns of progress and geographical inequalities to inform appropriate investments and implementations that will help to improve the health of all populations.