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.
Behrouz Fathi, Sara Pourrazavi, Vahid Alinejad, Samira Firooziyan, Ehsan Rikhtegar, Zahra Moradi
{"title":"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.","authors":"Behrouz Fathi, Sara Pourrazavi, Vahid Alinejad, Samira Firooziyan, Ehsan Rikhtegar, Zahra Moradi","doi":"10.4103/ijnmr.ijnmr_285_24","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Materials and methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":44816,"journal":{"name":"Iranian Journal of Nursing and Midwifery Research","volume":"31 2","pages":"246-252"},"PeriodicalIF":1.4000,"publicationDate":"2026-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13241031/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Iranian Journal of Nursing and Midwifery Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4103/ijnmr.ijnmr_285_24","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/3/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"NURSING","Score":null,"Total":0}
引用次数: 0
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.