hossien fallahzadeh

Cardiopulmonary resuscitation (CPR) training with standard scientific principles and skill acquisition are among the most important issues for training people. Therefore, the current research was conducted to compare the effectiveness of basic cardiopulmonary resuscitation training using "educational film" and "structured group using video self-evaluation" methods on the knowledge and skills of workers of the construction trade union.

 This research was conducted as a randomized and controlled clinical trial. 72 workers were selected by the available sampling method in 2023 and randomly assigned to the research groups. Participants in the experimental group received structured group training with video self-assessment, and participants in the control group received regular training and video training. In this research, we used a basic life support (BLS) knowledge questionnaire and a BLS skill checklist. SPSS-22 statistical software was used to analyze the data.

Based on the results of the paired t-test, there was a significant difference between the research groups in terms of BLS knowledge in the post-test stage compared to the pre-test stage (P<0.05). In addition, the independent t-test results showed a significant difference between the research groups in terms of BLS knowledge and BLS skills in the post-test stage (P≤0.005).

Therefore, based on the research results, it is suggested to use the structured group method with video self-assessment to train people as the first line of response to the treatment of cardiorespiratory arrest.

Managing the challenges of healthcare waste produced after the earthquake is a vital issue. This study aimed to provide a comprehensive management plan for healthcare waste in Kermanshah and Varzaqan-Ahar earthquakes using two models: Strengths, Weaknesses, Opportunities, and Threats (SWOT) and Quantitative Strategic Planning Matrix (QSPM).

The present qualitative study was conducted through a content analysis approach using semi-structured interviews and a purposive selection of 16 experienced experts and managers in the field of healthcare waste management in an earthquake in 2021-2022. After recording and transcribing data, data analysis was done in MAXQDA software (version 18). Lincoln and Goba criteria were used to check the reliability of the data. The statements (strengths, weaknesses, opportunities, and threats of waste management) were summarized for each main category in the SWOT classification. Strategies for improving healthcare waste management were presented by comparing internal and external factors. Finally, the attractiveness table was compiled and weighted using the QSPM method for prioritizing strategies.

The study found 18 strengths, 24 weaknesses, 18 opportunities, and 19 threats. The final scores for internal and external factors of healthcare waste management in earthquakes were 2.38 and 2.3, respectively. A total of 12 strategies were developed based on the findings. Finally, the strategy of "optimal use of the opinions provided by managers, researchers, and experts interested in the field of waste management for the development of guidelines and national regulations for the management of healthcare waste in an earthquake" was prioritized to be implemented based on the QSPM matrix.

The strategic priorities identified in this study are important steps towards achieving sustainable development goals and protecting public health and the environment in disaster situations. Moreover, using QSPM and SWOT models helps to provide appropriate solutions for improving the management of healthcare waste in earthquakes.

 In analyzing time-to-event data, it is frequent that a proportion of individuals will never experience the event of interest. Using the cured models instead of standard ones for survival analysis will result in accurate estimates for predicting survival time. This study aimed to estimate the effect of potential risk factors on long-term and short-term survival of breast cancer patients.

 The study included 770 women diagnosed with early-stage breast cancer and treated with either breast conserving therapy or modified radical mastectomy with post-surgical radiation between 2005 and 2015. All study participants were followed up until September 2022. The review of the medical records of these patients was carried out at Shahid Sadoughi Hospital and the Ramazan Zadeh Radiotherapy Center in Yazd. Kaplan-Meier method was used to estimate disease-free survival and distant metastatic-free survival rates. Distant metastasis and prognostic factors were modeled by Cox proportional hazards and Semiparametric Mixture Cure models. Data analysis was done by Rstudio software.

 In this study, 218(28.3%) patients died, and metastasis occurred in 198(25.7%) patients until the end of the follow-up period. Based on the univariable and multivariable Semiparametric Mixture Cure model, the stage of disease was significant, and the risk of short-term distant metastatic-free survival for patients with stage IIIa was 2.7 times higher than patients with stage I and II of disease through multivariable Semiparametric Mixture Cure model.

 The Semiparametric Mixture Cure model could estimate the long-term and short-term distant metastatic-free survival based on prognostic factors.

</span></span> Ovarian Cancer (OC) as a common gynecologic cancer according to mortality rate has the seventh rank among women in the world. This study aimed to identify risk factors associated with OC survival in Yazd, Iran.</span></span></span></span></span>
</span>In this observational retrospective cohort study, the medical records of 150 patients who were definitively diagnosed with OC from 1999 to 2018 were investigated. The Kaplan–Meier estimator and the Cox proportional hazard model with hazard ratio and the log-rank test were used for data analysis. All statistical analyses were done in R 4.0.5, package survival.</span> </span>
</span> 60.77% (91 people) of patients were under 60 years old. 32.7% (49 people) were in stage III of the disease. 62% (93 people) did not have ascites, 67.3% (101 people) had disease-free survival more than 65 months. 45 (30%) of 150 patients were dead. Median survival time was 96 months (95% CI∶57.20 to 134.79), one, three, five-, and ten-year survival rates were 83,73,55 and 33 months; respectively. Log-rank test results showed there was a significant difference between age, stage, ascites, disease-free survival, and Treatment method, CA125 after and before treatment (p < 0.05). Cox proportional hazard model result showed ascites (HRadj = 3.89, 95% CI: 1.35 to 11.15, P = 0.01) and DFS (HRadj = 23.52, 95 % CI: 4.21to128.33, p = < 0.001) as significant covariates.</span></span></span></span>
</span> The results of our study showed that disease-free survival and ascites are the main risk factors for OC and paying attention to them will be effective in increasing patient survival</span>.</span></span></span></div>

Aging has caused physical and cognitive defects in older adults, requiring serious intervention to support them. This research was conducted with the aim of investigating relationship between social support and cognitive status among older adults of Neyshabur city.

This cross-sectional study was conducted based on the data of the first phase of registration of the longitudinal Neyshabur Geriatric Cohort on 3451 people of 60 years and above. Data collection was done using demographic questionnaires, MMSE, MOCA and Duke social support questionnaire. .data was analyzed using SPSS v.16 software.

With the MMSE, one fifth of the participants (20.3%) and with the MOCA, almost half of the respondents (49.3%) did not have cognitive disorder. 84% of the respondents were satisfied with the social support received most of the time, and they were satisfied, had the least cognitive impairment. Education level was the strongest factor in predicting cognitive disorder, and MOCA was more influenced by demographic variables than MMSE.

Due to the high prevalence of cognitive disorders among older adults, careful examination and screening of cognitive disorders can lead to early diagnosis and prevention of disorder progression. Also, considering the relationship between social support and cognitive status, increasing the use of mass media, online technologies, designing programs and group recreational and sports activities can be effective in improving the cognitive status in older adults.

Since a significant part of deaths due to traffic accidents are preventable in the pre-hospital phase, therefore it seems necessary to have an instrument to identify and measure the factors affecting it. This study aims to develop and psychometrically assess an instrument to measure preventable prehospital mortality due to traffic accidents.

The study is a mixed qualitative-quantitative study, including systematic review, interviews, Delphi, and psychometrics. In the systematic review phase, using database searches, and in the qualitative phase, the factors affecting preventable mortality were extracted via interviews with 24 experts (fire-fighting organizations, traffic police, the Red Crescent, emergency medical services [EMS], emergency medicine, hospital emergency nurses and traffic accident victims) in Ministry of Health, Treatment and Medical Education and Yazd Province, Iran, 2020. The codes were classified with MAXQDA10 Software. The results were collected in the format of the primary instrument and the Delphi study (3 rounds) was conducted by experts. Finally, the reduction of the items and the psychometrics of the instrument, including the determination of face and content validity, and then the determination of the reliability using Cronbach’s alpha were performed.

The developed instrument had acceptable validity and reliability to be used in measuring preventable traffic-related pre-hospital mortalities. The final instrument to measure preventable pre-hospital mortality was developed with 5 dimensions, including “scene and casualty assessment, coordination and communication, time management, training performance, and support”. 

Using this instrument, preventable deaths can be detected, the present challenges can be identified, and the preventable deaths may be diminished.

Since women spend about one-third of their lifespan in menopause, accurate prediction of the age of natural menopause and its effective parameters are crucial to increase women's life expectancy.

This study aimed to compare the performance of generalized linear models (GLM) and the ordinary least squares (OLS) method in predicting the age of natural menopause in a large population of Iranian women.

This cross-sectional study was conducted using data from the recruitment phase of the Shahedieh Cohort Study, Yazd, Iran. In total, 1251 women who had the experience of natural menopause were included. For modeling natural menopause, the multiple linear regression model was employed using the ordinary least squares method and GLMs. With the help of the Akaike information criterion, root-mean-square error (RMSE), and mean absolute error, the performance of regression models was measured.

The mean age of menopausal women was 49.1 ± 4.7 yr (95% CI: 48.8-49.3) with a median of 50 yr. The analysis showed similar Akaike criterion values for the multiple linear models with the OLS technique and the GLM with the Gaussian family. However, the RMSE and mean absolute error values were much lower in GLM. In all the models, education, history of salpingectomy, diabetes, cardiac ischemic, and depression were significantly associated with menopausal age.

To predict the age of natural menopause in this study, the GLM with the Gaussian family and the log link function with reduced RMSE and mean absolute error can be a good alternative for modeling menopausal age.

Little observational studies have been conducted on the association between diet and sleep. We conducted a cross-sectional study to evaluate the associations of dietary patterns with sleep duration in an Iranian population.

This study was conducted on the baseline data of two population-based Iranian cohorts: the YaHS-TAMYS and Shahedieh studies. Dietary intakes were assessed in 10451 Yazdi people aged 20–75 years. Dietary habits were derived from answers to a food frequency questionnaire, and a factor analysis using principal component analysis (PCA) was used to identify dietary patterns. The reported sleep duration was categorized as short (<6 h), normal (6–8 h) or long (>8 h). Multivariable logistic regression was used to determine the relationship between dietary patterns and the odds of short and long sleep duration.

Four major dietary patterns were identified: “healthy,” “western,” “traditional,” and “high-carbohydrate, high-fat.” In the Shahedieh study, participants in the top quartile of the western dietary pattern had greater odds of short (<6 h) and long (>8 h) sleep duration (OR = 1.49; 95% CI: 1.17, 1.90; P trend <0.001 and OR = 1.46; 95% CI: 1.12, 1.90; P trend = 0.014, respectively) than those in the bottom quartile. Also, participants in the highest quartile of the high-carbohydrate, high-fat pattern had higher odds of long sleep duration compared with those in the lowest quartile (OR = 1.36; 95% CI: 1.05, 1.75; P trend = 0.005). Pooling the two studies revealed that the western dietary pattern was significantly associated with short sleep duration (OR = 1.31; 95% CI: 1.08, 1.59).

The western dietary pattern might inversely be associated with sleep duration. Future prospective studies are recommended to confirm these results.

The purpose of this study is to investigate the amount of salt consumed by the people of Yazd and the related factors based on other studies. 

A general search was performed on electronic databases of Daneshgostar Barakat system, Magiran, SID, and English databases such as Scopus PubMed, Web of sciences, Science direct and Google scholar searching engine using keywords: salt intake" OR "sodium intake" OR "salt reduction" OR "salt content" OR "sodium reduction" OR "Diet, Reducing"  regardless of the time interval. A total of 273 articles were obtained from the mentioned website. This review covers the period from June 3 to September 30, 2019. A total of 15 related articles were analyzed, and the study on the amount of salt consumed was evaluated.

The amount of salt received by the people of Yazd is higher than the standard of the World Organization and has an increasing trend.

A population-based approach can lower blood pressure levels and presumably significantly reduce mortality and start of high blood pressure. Therefore, the implementation of a comprehensive plan and intervention in salt consumption is necessary for society.

Fertility in Iran has declined dramatically over the last three decades. The rapid decline in fertility in Iran has taken place in all geographical areas and in all social and demographic subgroups. This study aims to evaluate the fertility trend in Sabzevar’s towns and villages during a 13 year period.
The present study is a descriptive-analytic one. The information about fertility was obtained from Sabzevar Health Department according to the age groups and the proportion of married women on an annual basis for urban and rural areas separately. The indexes of fertility rate and age-specific fertility were calculated by using Excel software. The data were analyzed using joinpoint regression 3.4 software at a significance level of P The results of the study showed that in all of the years of the study the total fertility rate in urban areas was higher than in rural areas. The total fertility rate in rural areas has risen from 1.97 in 2002 by 1.5% annual growth to 2.28 in 2014. In urban areas, the fertility rate has reached 2.31 in 2002, with a mean annual increase of 1.7%, to 2.63 in the year 2014. The highest percentage of annual increase in urban and rural areas has occurred in the age group of 15 to 19 years. Furthermore, family planning policies in Iran have had a significant impact on increasing fertility in the age group of 20 to 24 years.
Although the overall fertility rate in Sabzevar is almost at the replacement rate, due to the demographic policies of the country – which is aimed at increasing the fertility rate –, it is recommended that, along with the implementation and the continuous monitoring of these comprehensive health policies in this city, health care policymakers perform some programs to reduce pregnancy in high-risk age groups.

Oxidative stress is involved in the pathophysiology of diabetes and cardiovascular complications of metabolic syndrome. The main objective of this study was to evaluate total antioxidant status by diphenylpicrylhydrazyl (DPPH)-scavenging activity in patients developed metabolic syndrome (MetS). Forty-four patients with MetS diagnosed on the basis of adult treatment panel (ATPIII) criteria along with 46 age- and gender-matched healthy controls were studied. A blood sample was taken after a 12-hour fasting period, and blood glucose, lipid profile, and DPPH were determined. A significant decrease (p=0.03) in DPPH-scavenging activity levels in the study group was observed compared to the control group. Among the components of metabolic syndrome, hyperglycaemia, hypertriglyceridaemia and hypertension were negatively correlated with DPPH-scavenging activity levels. The findings of the present study suggest the oxidative stress in patients with MetS which further increases the cardiovascular risk and diabetes mellitus in these patients. We posited that studying of the oxidative status is crucial in order to prevent type 2 diabetes development and cardiovascular disease and its complications because it is installed long before the disease actually appears.