The Impact of Cancer Incidence on Catastrophic Health Expenditure in Iran with a Bayesian Spatio-Temporal Analysis.

Background: We investigated the impact of cancer incidence on CHE in Iran by considering spatial variation across provinces as well as temporal trends. Methods: Data from Household Income-Expenditure Survey were merged with cancer incidence rates during 2011-2016. We developed a Bayesian hierarchical model to explore the spatial and temporal patterns of CHE and its associated factors at provincial level. We used a Besag-York-Mollie2 prior and a random walk prior for spatial and temporal random effects respectively. All statistical analysis was carried out in R software. Results: All-type cancer incidence (OR per SD (95% CrI) = 1.16 (1.02, 1.32)), unemployment rate (1.08 (1.01, 1.15)) and income equity (0.88 (0.81, 0.97)) have important association with CHE. Percentage of urbanization and percentage of poverty were not statistically significant. Conclusion: The results suggest the development of new policies to protect cancer patients against financial hardship, narrow the gap in income inequality and solve the problem of high unemployment rate to reduce the level of CHE at provincial level.

Predictors of osteoporosis preventive behaviors among adolescent: a cross-sectional study.

INTRODUCTION: Osteoporosis is a preventable progressive metabolic disease. Girls have an increased risk of occurrence of osteoporosis in their old age. The BASNEF model can be employed to change behaviors related to health. The BASNEF model was employed to determine the predictors of osteoporosis preventive behaviors among adolescent girls. MATERIAL AND METHODS: This cross-sectional study was carried out on 209 adolescent girls selected from high schools in the Quchan County in 2016 using path analysis by stratified sampling. The data was collected through a demographic questionnaire and a 52-item researcher-made questionnaire, based on the BASNEF model constructs. The data was analyzed using Shapiro-Wilk test, bootstrapping, and path analysis. RESULTS: The average age of the students was 16.10 ±0.59. The results of path analysis showed that Model 1 matched the BASNEF model relationships completely; however, it could not predict osteoporosis preventive behaviors. The constructs of Model 2 (modified) was able to predict 50% of variances in osteoporosis preventive behaviors. There were positive and direct relationships between the following pairs of constructs: knowledge and attitudes (B = 0.23, p < 0.001); attitudes and the intention of osteoporosis preventive behaviors (B = 0.37, p < 0.001); subjective norms and the intention of osteoporosis preventive behaviors (B = 0.53, p < 0.001); behavioral intention and osteoporosis preventive behaviors (B = 0.36, p < 0.001); subjective norms and osteoporosis preventive behaviors (B = 0.33, p < 0.001), and enabling factors and osteoporosis preventive behaviors (B = 0.29, p < 0.001). CONCLUSIONS: The community health nurse can use the constructs of the BASNEF model to change the osteoporosis preventive behaviors like knowledge, attitudes subjective norms and enabling factors.

Osteoporosis preventive behaviors in adolescent girls: the educational program based on BASNEF model.

Osteoporosis is a progressive and preventable metabolic disease. This study aimed to assess the short-term effect of the educational program based on the Beliefs, Attitude, Subjective Norms, Enabling Factors (BASNEF) model on the osteoporosis preventive behaviors in adolescent girls. It was found that the BASNEF model improved the osteoporosis preventive behaviors in adolescent girls. PURPOSE: Osteoporosis is a progressive and preventable metabolic disease. This study aimed to investigate the short-term effect of the education program based on the BASNEF model on the osteoporosis preventive behaviors in adolescent girls. METHODS: This randomized clinical trial was conducted on adolescent girls from January to August 2018 in an urban area of Iran. Subjects were 120 adolescent girls aged 13-14 years studying in the girls' high school that were randomly assigned to intervention and control groups. The data collection tool was the demographic questionnaire and the researcher-made questionnaire consisting of six domains based on the BASNEF model. Validity and reliability of the questionnaires were confirmed before data collections. The educational program was developed based on the BASNEF model in four sessions lasting from 30 to 45 min. Data was collected before, immediately and 1 month after the educational program and was analyzed via the SPSS software v.18. RESULTS: No statistically significant differences were reported between the groups in terms of knowledge (p = 0.48), attitude (p = 0.94), subjective norms (p = 0.17), behavioral intention (p = 0.82), enabling factors (p = 0.62), and osteoporosis preventive behaviors (p = 0.32). Meanwhile, immediately and 1 month after the educational program, differences were reported between the two groups in knowledge (p < 0.001), attitude (p = 0.002, p < 0.001), subjective norms (p = 0.024, p = 0.001), behavioral intention (p < 0.001, p = 0.001), enabling factors (p < 0.001), and osteoporosis preventive behaviors (p < 0.001). CONCLUSION: It is suggested that educational program based on the BASNEF model is used to strengthen the osteoporosis preventive behaviors among adolescent girls.

Epidemiology of mecA-Methicillin Resistant Staphylococcus aureus (MRSA) in Iran: A Systematic Review and Meta-analysis.

OBJECTIVES: Staphylococcus aureus (S. aureus) is a prevalent pathogen worldwide. Methicillin resistant S. aureus (MRSA), which is usually multi-resistant in hospitals, has been a daunting challenge for clinicians for more than half a century. The aim of this systematic review and meta-analysis is to determine the relative frequency (R.F.) of MRSA in different regions of Iran. MATERIALS AND METHODS: Search terms "Staphylococcus aureus", "Methicillin", "mecA" and "Iran" were used in PubMed, Scirus and Google Scholar. Two Persian scientific search engines and ten recent national congresses were also explored. Articles/abstracts, which used clinical specimens and had done PCR to detect the mecA gene, were included in this review. Comprehensive Meta-Analysis and Meta-Analyst software were used for statistical analysis. RESULTS: Out of 2690 results found in the mentioned databases, 48 articles were included in the final analysis. These studies were done in Ahvaz, Falavarjan, Fasa, Gorgan, Hamedan, Isfehan, Kashan, Mashhad, Sanandaj, Shahrekord, Shiraz, Tabriz, Tehran and Tonekabon. Pooled estimation of 7464 S. aureus samples showed that 52.7%±4.7 (95% confidence interval [CI]) of strains were mecA positive. MRSA R.F. in different studies varied from 20.48% to 90% in Isfehan and Tehran, respectively. We found a moderate heterogeneity (I(2)= 48.5%) of MRSA R.F. among studies conducted in Tehran (ranging from 28.88% to 90%, mean 52.7% [95% CI: 46.6%±0.58.8%]). CONCLUSION: According to the results of this study, MRSA R.F. in Iran is in the high range. Thus, measures should be taken to keep the emergence and transmission of these strains to a minimum.