Aral Sea environmental disasters area population's physical activity level assessment - the first step for targeted health promotion.

OBJECTIVE: Aim: We aimed to assess the physical activity and sedentary behavior of the population living in the Aral Sea area using the Global Physical Activity Questionnaire. PATIENTS AND METHODS: Materials: Data was collected from seven out-patient settings involving 445 participants (47.6% females, 52.4% males). The age of 33.6% of respondents was over 65. RESULTS: Results: Nearly a quarter (23.5%) of the participants did not meet World Health Organization physical activity recommendations. The Median Time spent on physical activity in recreation in all dispensaries among males (Md=34.29, IQR=66.43) was signif i cantly higher (Z=-4.78, p<0.001) than females (Md=12.86, IQR=51.43). A signif i cant association was observed between transport-related physical activity and gender (χ2= 5.60, p=0.018). The average percentage that comes from recreation-related activities among males (M=43.69, SD=26.90) was more signif i cant (MD=6.27, 95% CI: 0.46, 12.07) as compared to that of females (M=37.43, SD=31.66). A signif i cant association was observed between engagement in vigorous activity and gender (χ2= 30.77, p<0.001). CONCLUSION: Conclusions: Environmental, economic, demographic, and cultural peculiarities of the Aral Sea area should be considered in elaborating specif i c health promotion programs to shift health-harming ambient into health-improving environment.

Sex differentials in the prevalence of behavioral risk factors and non-communicable diseases in adult populations of West Kazakhstan.

Introduction: The prevalence of non-communicable diseases (NCDs) is increasing worldwide. Several modifiable risk factors, such as smoking, alcohol drinking, physical inactivity, and obesity, have been linked to the development of NCDs in both genders. Understanding the prevalence of these risk factors and their associated factors is crucial for effective intervention planning in adult populations. This study aimed to provide an overview of the prevalence and associated factors of these risk behaviors among different genders of adults in West Kazakhstan. Methods: A cross-sectional study was conducted in four regions of West Kazakhstan. A stratified multistage sampling technique was utilized to obtain a representative sample size of 4,800 participants aged 18 -69 years. Trained researchers administered face-to-face interviews using validated questionnaires to gather information pertaining to sociodemographic characteristics, smoking habits, alcohol drinking, dietary patterns, physical activity levels, body mass index (BMI), and prevalent diseases. Results: This study, which included 4,800 participants from West Kazakhstan, revealed some striking numerical findings. The overall prevalence rates of behavioral risk factors and metabolic conditions were as follows: smoking was 13.6% (95%CI: 3.2-24.0%), alcohol drinking was 47.0% (27.7-66.3%), current obesity was 22.3% (9.0-35.6%), and physical inactivity was 80.7% (55.4-106.0%). In addition, the overall prevalence rates of metabolic conditions were 25.6% (11.3-39.9%) for hypertension, 7.5% (0.2-15.2%) for diabetes, 11.8% (2.1-21.5%) for high cholesterol, and 13.0% (2.8-23.2%) for cardiovascular diseases. Additionally, a higher prevalence of high cholesterol was observed in men, and a greater prevalence of heart disease was identified in women. Multinomial logistic regression revealed that physical inactivity was associated with hypertension, diabetes, and heart disease, while obesity was linked to hypertension, high cholesterol, and heart disease. Discussion: This study in West Kazakhstan identified variations in the prevalence of behavioral risk factors and NCDs, highlighting gender, age, and regional disparities. Notably, men showed higher rates of smoking and alcohol drinking, while women exhibited a greater prevalence of physical inactivity and obesity. Gender and regional differences were evident, with the West Kazakhstan region standing out for distinct patterns. Tailored interventions are crucial to address these disparities and enhance public health in the region.