ArticleIranian journal of nursing and midwifery research
Assessment and Analysis of the Data from the Program "Basic Interventions of Non-Communicable Diseases in Iran's Primary Health Care System in Urmia City, Iran, 2023.
Article in Iranian journal of nursing and midwifery research. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Cardiovascular diseases are among the leading causes of death and disability worldwide, including in Iran. Identifying their risk factors is essential for implementing cost-effective preventive interventions. This study aimed to determine the prevalence of behavioral risk factors for non-communicable diseases and their relationship with of cardiovascular diseases risk level in Urmia City, Iran. Materials and Methods: This cross-sectional study involved 10,000 individuals aged 30 years and older who underwent risk assessment in 2023. Participants were selected through multi-stage cluster sampling. Data were collected using a researcher-designed checklist within the Integrated Health System and analyzed using, employing independent t-tests and Chi-square tests. Results: The prevalence of risk factors was: history of diabetes (12.22%), hypertension (17.24%), high cholesterol (14.93%), family history of diabetes (4.25%), pre-diabetes (7.19%), and pre-hypertension (29.33%). The distribution of risk levels was as follows: 91.15% of participants was classified as having a risk level below 10%, 8.24% between 10 and 20%, 0.33% between 20 and 30%, and 0.28% above 30%. There was a significant positive correlation between risk level and fasting blood sugar, cholesterol, systolic and diastolic blood pressure, age, body mass index (BMI), and waist circumference. Conclusions: The implementation of the risk assessment program and the identification of risk factors at early stages will help in the regular follow-up of high-risk individuals, provide them with necessary health care, and lead to the prevention or early diagnosis of disease.
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