What explains socioeconomic inequalities in dental flossing? Cross-sectional results from the RaNCD cohort study

Introduction: The magnitude of or determinants underlying socioeconomic inequalities in the use of dental floss is poorly understood in Iran. This study aimed to measure and decompose socioeconomic inequalities in dental flossing in Ravansar, Iran. Methods: This cross-sectional study used data of 10002 individuals aged 35-65 years obtained from the Ravansar Non-communicable Disease (RaNCD) cohort study located in Kermanshah province, west of Iran.  Socioeconomic status was measured through an asset-based method and principal component analysis was carried out to determine the socioeconomic status (SES). The concentration index and curve were used to measure socioeconomic inequality in dental flossing. Decomposition analysis was also used to determine the main determinants that contribute to inequalities in dental flossing. Findings: Of 10,002 participants, 11.74% were found to use dental floss. The normalized CI for use of dental floss was 0.327 in the entire population, 0.323 in females and 0.329 in males, indicating that the use of dental floss is more concentrated among high-SES individuals. The decomposition analysis indicated that SES (50.58%) and level of education (44.90%) respectively contributed the most to this inequality. Place of residence (10.55%) and age group (2.7%) were the next main contributors, respectively. Conclusion: There are a low prevalence and a relatively high degree of pro-rich socioeconomic-related inequality in dental flossing among Iranian adults. Socioeconomic status, level of education and place of residence contributed the most to the observed inequalities in dental flossing. Policy interventions should consider these factors to reduce inequality in the use of dental floss and increase the prevalence of dental flossing. &nbsp

Prediction equations for pulmonary function values in healthy children in Mashhad city, North East Iran

Background: Pulmonary function tests (PFTs) are used in assessing physiological to clinical status of the respiratory system, which is expressed as a percentage of predicted values. Predicted PFTs values are varies in different ethnics. Predicted PFTs values were studied in a sample of Iranian children. Materials and Methods: Prediction equations for PFTs were derived from urban children in the city of Mashhad (northeast Iran). Regression analysis using height and age as independent variables was applied to provide predicted values for both sexes. PFT values were measured in 414 healthy children (192 boy and 222 female, aged 4-10 years). Forced vital capacity (FVC), forced expiratory volume in one second (FEV 1 ), maximal mid-expiratory flow (MMEF), peak expiratory flow (PEF), MEF at 75%, 50% and 25% of the FVC (MEF 75 , MEF 50 and MEF 25 respectively) were measured. Results: There were positive correlations between each pulmonary function variable with height and age. The largest positive correlations were found for FVC (r = 0.712, P < 0.0001) and FEV 1 (r = 0.642, P < 0.0001) in boys and girls respectively with height and for PEF (0.698, P < 0.0001) and MEF (r = 0.624, P < 0.0001) with age. Comparison of PFTs derived from the equations of the present study showed significant differences with those of several previous studies (P < 0.001 for most cases). Conclusion: A set of PFT reference values and prediction equations for both sexes has been derived using relatively large, healthy, Iranian children for the first time, which the generated results were differ from several prediction equations