A hybrid approach for driver drowsiness detection utilizing practical data to improve performance system and applicability.

BACKGROUND: Numerous systems for detecting driver drowsiness have been developed; however, these systems have not yet been widely used in real-time. OBJECTIVE: The purpose of this study was to investigate at the feasibility of detecting alert and drowsy states in drivers using an integration of features from respiratory signals, vehicle lateral position, and reaction time and out-of-vehicle ways of data collection in order to improve the system's performance and applicability in the real world. METHODS: Data was collected from 25 healthy volunteers in a driving simulator-based study. Their respiratory activity was recorded using a wearable belt and their reaction time and vehicle lateral position were measured using tests developed on the driving simulator. To induce drowsiness, a monotonous driving environment was used. Different time domain features have been extracted from respiratory signals and combined with the reaction time and lateral position of the vehicle for modeling. The observer of rating drowsiness (ORD) scale was used to label the driver's actual states. The t-tests and Man-Whitney test was used to select only statistically significant features (p < 0.05), that can differentiate between the alert and drowsy states effectively. Significant features then combined to investigate the improvement in performance using the Multilayer Perceptron (MLP), the Support Vector Machines (SVMs), the Decision Trees (DTs), and the Long Short Term Memory (LSTM) classifiers. The models were implemented in Python library 3.6. RESULTS: The experimental results illustrate that the support vector machine classifier achieved accuracy of 88%, precision of 85%, recall of 83%, and F1 score of 84% using selected features. CONCLUSION: These results indicate the possibility of very accurate detection of driver drowsiness and a viable solution for a practical driver drowsiness system based on combined measurement using less-intrusive and out-of-vehicle recording methods.

Exploring Sexual Life Experiences and Perceptions of Women with Diabetes: A Qualitative Study.

Background: Sexual life can be affected through different aspects of living with diabetes. This study aimed to explore the perception and experiences of Iranian women with diabetes at reproductive age regarding the impact of diabetes on their sexual life. Methods: This qualitative study was conducted from August 2018 to February 2019 in five diabetes centers in Tehran. Purposeful sampling method was used to select the participants, and data were collected by in-depth semi-structured interviews. Data were analyzed manually using the conventional content analysis method. Data saturation occurred after interviewing 24 women with diabetes. Results: Three themes were identified. The first theme was "diabetes-related threatened sexual life" with three categories: change in sexual functioning, negative sexual self-evaluation, and concern in sexual relationships. The second theme was "diabetes treatment challenges in sexual life," which included two categories: adverse effects of diabetes treatment in sexual life and the psychosocial distress related to diabetes treatment. "Couples' relationship adjustment to diabetes," was identified as the third theme, including four categories: the need for spouse's understanding of living with diabetes problems, perceived need for spouse's support, perceived need for intimacy, and the need to cope with diabetes-related childbearing challenges. Conclusion: According to the participants' perception and experiences, in addition to sexual problems, diabetes had affected their sexual life through diabetes treatment challenges in sexual life and the way the couples' relationships adjust to diabetes. Therefore, sexual problems screening and providing counseling services in community-based diabetes care planning are recommended.

Scale Development and Psychometric Evaluation of a Questionnaire for Measuring the Risk Factors for Death in Floods.

Purpose: Determination of the causes of flood-related deaths is the precondition for effective interventions aimed at the reduction of such deaths. There is a gap in the design and the development of a valid and reliable instrument for measuring underlying factors of death in the flood. Methods: This study was carried out in two phases. In the first phase, item pool generation and questionnaire design were carried out through systematic review of literature and qualitative study. the initial questionnaire was divided into two parts of objective and subjective factors. In the second phase, the psychometric evaluation of the questionnaire included face, content, and construct validity in the subjective part. The reliability was also evaluated by calculating test-retest intraclass correlation coefficient and Cronbach's alpha. Exploratory factor analysis (EFA) was used for the data collected from 369 individuals in the flood-affected communities experiencing flood deaths. Data analysis was performed in SPSS version 23. Results: In the EFA, 33 items and seven dimensions were extracted that explained 57.82% of the variance of influential factors in flood death, including the cognition of the flood (four items), general knowledge (four items), public beliefs (four items), risk perception (nine items), attitude (five items), prevention (five items), and social norms (two items). The internal consistency of the instrument using Cronbach's alpha coefficient was 0.92. Finally, in order to perform the stability test, the Pearson correlation coefficient was calculated for all questions. This was above .05 and acceptable. Conclusions: According to the results, the factors affecting flood death questionnaire (FAFDQ) could be used to make decisions, identify groups at risk of flood-related deaths, and implement flood-related death-reduction interventions. Indeed, these measures have led to the development of a comprehensive and reliable questionnaire for measuring the factors affecting flood deaths.

Development and evaluation of an intervention to improve food and nutrition literacy among Iranian Kurdish primary school children: An application of intervention mapping approach.

Background: Food and nutrition literacy (FNLIT) is a relatively new term that is used to define the knowledge, skills, and behaviors necessary to achieve a healthy diet. Improving food and nutritional literacy in children is a necessary solution to eliminate nutritional disorders in this age group. The purpose of this study was to design, implement and evaluate an intervention to improve food and nutrition literacy in children aged 10-12 years old based on an intervention mapping (IM) approach. Methods: This experimental study was performed in three phases. Through the first phase, an intervention was developed using the (IM) approach. In the second phase, the intervention was implemented for 6 months, and in the third phase, the intervention outcomes were evaluated and compared with the control group through a randomized controlled trial among 300 participants (each control and intervention group = 150). Results: Before the intervention, there was no significant difference between the control and intervention groups in all subscales of FNLIT. After the intervention, there was a significant difference between the control and intervention groups in all subscales of FNLIT (P < 0/001). There were no differences between the two groups in terms of the FNLIT scores at baseline (P > 0.05). However, after 6 months of intervention, a significant difference was observed between the two groups (intra-group differences) (P < 0.001). Such a difference was not identified in the control group after 6 months also the results show the impact of socioeconomic factors and parental literacy on the average score of students' FNLIT and after the intervention, a significant difference was observed between the scores of control and intervention groups in all subscales of the FNLIT (P < 0.001). Conclusions: The school-based intervention developed and evaluated in this study provides a basis for future programs targeting the improvement of FNLIT in children, especially in poor and deprived areas such as Kurdistan province. Clinical trial registration: Iranian Clinical Trials Registry (IRCT) Code: 32094.

Strategies and experiences for sand and dust storm adaptation: A qualitative study in Iran.

BACKGROUND AND PURPOSE: Sand and Dust storms (SDS) are meteorological hazards that are increasing due to climate change. Mitigation and adaptation are two main strategies that help to deal with this global concern. In the recent decades, Iran has been prone to SDS. Therefore, this study was conducted in 2018 in order to explore the SDS adaptation experiences and strategies in the Iranian community. METHODS: Using content analysis approach and purposive sampling, three groups (including 14 experts, 8 authorities, and 23 individuals) were selected. Data were collected through semi-structured interviews. Data analysis was performed using Graneheim and Lundman's method. Finally, Gaba and Lincoln's scientific criteria were used for data validity. RESULTS: Two major categories emerged from the analysis. The first category was related to the adaptation experiences and included two subcategories: "citizens' experiences" and "experts'/ authorities' experiences". The second was related to SDS adaptation strategies and included five subcategories: "educational development", "public participation", "inter-sectorial coordination", "institutional development", and "environment preservation". CONCLUSIONS: Identifying the experiences and strategies that are implemented by a community to adapt to SDS is the core stone for developing a comprehensive local and national adaptation plan. This study suggests strategies and action plans for SDS adaptation that can be used in policy making.

Molecular epidemiology and phylogenetic analysis of human T-lymphotropic virus type 1 in the tax gene and it association with adult t-cell leukemia/lymphoma disorders.

BACKGROUND AND OBJECTIVES: Human T-lymphotropic virus type-1 (HTLV-1) belongs to retrovirus family that causes the neurological disorder HTLV-1 adult T-cell leukemia/lymphoma (ATLL). Since 1980, seven subtypes of the virus have been recognized. HTLV-1 is prevalent and endemic in some regions, such as Africa, Japan, South America and Iran as the endemic regions of the HTLV-1 in the Middle East. To study HTLV-1 subtypes and routes of virus spread in Iran, phylogenetic and phylodynamic analyses were performed and for as much as no previous phylogenetic studies were conducted in Tehran, we do this survey. To this purpose, the Tax region of HTLV-1 was used. MATERIALS AND METHODS: In this study 100 samples were collected from blood donors in Tehran. All samples were screened for anti-HTLV-I antibodies by ELISA. Then, genomic DNA was extracted from all positive samples (10 people), and for confirmation of infection, ordinary PCR was performed for both the HBZ and LTR regions. Moreover, the Tax region was amplified and purified PCR products were sequenced and analyzed, and finally, a phylogenetic tree was constructed using Mega X software. RESULTS: Phylogenetic analysis confirmed that isolates from Iran, Japan, Brazil, and Africa are located within the extensive "transcontinental" subgroup A clade of HTLV-1 Cosmopolitan subtype a. The Japanese sequences are the closest to the Iranian sequences and have the most genetic similarity with them. CONCLUSION: Through phylogenetic and phylodynamic analyses HTLV-1 strain in Tehran were characterized in Iran. The appearance of HTLV-1 in Iran was probably happened by the ancient Silk Road which linked China to Antioch.

Reasons for delayed spinal cord decompression in individuals with traumatic spinal cord injuries in Iran: A qualitative study from the perspective of neurosurgeons.

PURPOSE: The median time from the event leading to the spinal cord injury (SCI) to the time of decompressive surgery is estimated to be 6.9 days in Iran, which is much longer than the proposed ideal time (less than 24 h) in published guidelines. The current qualitative study aimed to determine the reasons for the observed decompression surgery delay in Iran from the perspective of neurosurgeons. METHODS: This qualitative study is designed to perform content analysis on the gathered data from face-to-face semi-structured interviews with 12 Iranian neurosurgeons. RESULTS: The findings of the current study suggest that patient-related factors constitute more than half of the codes extracted from the interviews. Overall, the type of injury, presence of polytrauma, and surgeons' wrong attitude are the main factors causing delayed spinal cord decompression in Iranian patients from the perspective of neurosurgeons. Other notable factors include delay in transferring patients to the trauma center, delay in availability of necessary equipment, and scarce medical personnel. CONCLUSION: In the perspective of neurosurgeons, the type of injury, presence of polytrauma, and surgeons' wrong attitude are the leading reasons for delayed decompressive surgery of individuals with SCI in Iran.

Evaluation of Hippocampal Function in Temporal Lobe Epilepsy: Spatial Bayesian Variable Selection and Grouping the Regression Coefficient in Multilevel Functional Magnetic Resonance Imaging Data Analysis.

Background: A pre-surgical evaluation of cognitive functions in patients with mesial temporal lobe epilepsy (mTLE) is critical. The limitations of the usual brain analysis model were resolved by the spatial Bayesian variable selection (SBVS) method. An Ising and Dirichlet Process (Ising-DP) model considers SBVS and the grouping of a large number of voxels. The present study aimed to identify brain areas involved in episodic memory in patients with right mTLE and controls via the Ising-DP model. The model was extended to include between-subject factors (BSFs), and the results were compared with other classical methods. Methods: The present cross-sectional study was conducted on 15 patients with right mTLE and 20 controls in Tehran, Iran, in 2018. During functional magnetic resonance imaging, the subjects were tested with the face-encoding memory task, followed by a recognition memory test. The participants demographic factors such as age, sex, marital status, area of residence, and years of schooling were considered to comprise BSFs. The independent t test, the chi-square test, and the correlation test were conducted using the SPSS software (version 20.0). The image processing was carried out using SPM (version 12.0) and MATLAB (version R2014a). Results: The Ising-DP model appropriately (R2=0.642) detected activated hippocampal areas. The model adjusted for BSFs indicated a better fit by the significant effect of age (P((γ]>0.91), sex (P[γ]>0.87), and years of schooling (P[γ]>0.89). The heat maps exhibited decreased activation in the right hippocampal region in the patients compared with the controls (P<0.0001). Right hippocampal activity had a significant positive correlation with the recognition memory test in the mTLE group (r=0.665) and the control group (r=0.593). Conclusion: The Ising-DP model was sufficiently sensitive to detect activated areas in our patients with right mTLE during the face-encoding memory task. Since the model adjusted for BSFs improved sensitivity, we recommend the use of more detailed BSFs such as seizure history in future research.

Relationship between dietary carbohydrate quality index and metabolic syndrome among type 2 diabetes mellitus subjects: a case-control study from Ghana.

BACKGROUND: Dietary carbohydrate quality may play an important role in disease development. We evaluated the association between carbohydrate quality index (CQI) and the odds of metabolic syndrome (MetS) in type 2 diabetes mellitus (T2DM) subjects in Ghana. METHODS: In this case-control study, we analyzed data using 124 T2DM subjects. We obtained dietary information using 2-day 24-h dietary recalls. We calculated CQI from dietary fiber, glycemic index, whole grains/total grains ratio, and solid carbohydrates/total carbohydrates ratio. Serum lipid profiles were measured after an overnight fast of 8-12 h. RESULTS: Upon adjustments for the effects of covariates, the CQI showed a positive association with high-density lipoprotein cholesterol concentration (beta coefficient (ß) = 0.24; standard error (SE) = 0.20; P for trend = 0.01), and an inverse relationship with waist circumference (ß = - 17.29; SE = 4.00; P for trend < 0.001), systolic blood pressure (ß = - 15.74; SE = 4.69; P for trend < 0.001), diastolic blood pressure (ß = - 7.23; SE = 2.97; P for trend = 0.02), and triglyceride concentrations (ß = - 0.43; SE = 0.11; P for trend < 0.001). Overall, the CQI had an inverse relationship with the odds of MetS (Odds ratio tertile 3 vs.1 0.05; 95% Confidence interval: 0.01-0.23; p-trend < 0.001). Also, a positive correlation was found between the CQI and fiber, but the CQI showed a negative relationship with dietary glycemic index. CONCLUSIONS: The present results suggest an inverse association between the CQI of a diet and the odds of MetS. The CQI approach of dietary recommendation may be a useful strategy for dietary carbohydrate selection for the prevention of MetS.

Risk factors of death from flood: Findings of a systematic review.

PURPOSE: The number of flood disaster deaths has been on the rise in recent years. The current review investigated and categorized the risk factors of deaths from floods in parallel with preventive and control measures designed to minimize deaths from floods. METHODS: In a systematic review, International electronic databases including PubMed, Scopus, Web of Science, and Google Scholar were investigated for articles published in English language. In addition, Iranian databases including IranMedex, Irandoc, Magiran, and Scientific Information Database (SID) were investigated for studies published in Persian. ProQuest database was also searched for related theses. The studies were selected regardless their methods but based on the inclusion and exclusion criteria. The data were extracted, coded and prepared for further analysis. Finally, descriptive and thematic analyses were conducted. RESULTS: A total of 114 factors were identified and categorized into the following five category that can influence on flood death.: hazard related factors, and individual, environmental, socio-economic, and managerial categories. CONCLUSIONS: The study identified many factors that affect flood deaths. The variety and the diverse nature of the factors necessitate appropriate interventions for removing or reducing the effects of the identified factors. More quantitative analytical studies are needed to confirm causal relationship between extracted factors and floods death.

Children Food and Nutrition Literacy - a New Challenge in Daily Health and Life, the New Solution: Using Intervention Mapping Model Through a Mixed Methods Protocol.

Food and nutrition literacy is a fundamental and new idiom among health policymakers. Improving children's food and nutrition literacy is a fundamental task, and it requires detailed planning. The aim of this study is to design, implement, and evaluate a food and nutrition literacy promotion intervention in elementary school children based on the Intervention Mapping model. This is a sequential study to design, implement, and evaluate a food and nutrition literacy promotion intervention in elementary school children aged 10-12 years old in Baneh city (Kurdistan, Iran). The study has three sequential phases, six steps based on the Intervention Mapping model, and four sub-studies. The questionnaire was transformed and culturally adapted since it was previously built for the city of Tehran; the results of a population-based cross-sectional survey indicated that the score for understanding food and nutrition information of a sample of 390 students aged 10-12 was mostly moderate and low (90.3% of participants). Therefore, a qualitative study on how to fix existing barriers, and extract facilitators and the best methods of interventions for promoting food and nutrition literacy of participants was conducted. Finally, an interventional study within six months for two intervention and control groups of elementary children 10-12 years old was carried out. The findings of this research will be used to design interventions and strategies based on needs assessment for improving students' skills in food and nutrition literacy in all dimensions of food and nutrition literacy.

Early Detection of Gestational Trophoblastic Neoplasia Based on Serial Measurement of Human Chorionic Gonadotrophin Hormone in Women with Molar Pregnancy.

BACKGROUND: The majority of studies which investigate the predicted power of Human chorionic gonadotropin (hCG) levels to the occurrence of Gestational trophoblastic neoplasia (GTN) considered the effect of a single measurement of hCG or used classical statistical methods without considering the endogenous marker. The aim of this study is to investigate the association between weekly measurements of ß-hCG with time to GTN occurring, using a robust Bayesian joint modeling. METHODS: Data of 201 women with a molar pregnancy were considered for this retrospective cohort study. After the first measurement of ß-hCG in 48 hours post evacuation of mole, the other titration was performed on a weekly basis until three consecutive normal titers. The association between serial measurements of ß-hCG and risk of GTN occurring were assessed by the classic and Bayesian joint modeling and in separate analysis the mixed linear effect and Cox-PH model were used. RESULTS: The mean age (SD) of participants was 26.6 (6.55) year. The GTN was occurred among 14.9% of patients. The association parameter using Bayesian approach was estimated as 1.30 (95% CI: 0.44 to 2.20) which showed one unit increase in the log ß-hCG corresponds to the 2.80-times increase in the hazard for the occurrence of GTN (Hazard Ratio: 2.80, 95% CI: 1.55 to 8.98). CONCLUSIONS: Findings of this study revealed that weekly measurements of ß-hCG are an important and reliable biomarker to early detection of developing of molar pregnancy to persistent GTN.

A Comprehensive, Epidemiological and Ecological Descriptive Study on Vitamin D Status in Iran (308005 People, from 2009-2018).

BACKGROUND: Vitamin D is an essential substance for absorption of calcium and phosphorus from intestine so it is vital for muscles and skeletal development. Deficiency of this vitamin is pandemic. The vitamin D status depends on the different factors such as UV exposure, diet, and ecological features of living location, age and gender. The aim of this study was to describe the vitamin D level in different provinces of Iran and to investigate the association between vitamin D status and multiple variables. METHODS: We collected the serum 25(OH)D (Vitamin D) level data of 308,005 people referred to different laboratories from 30 provinces of Iran and organized them by each province, year, age, gender, precipitation, latitude and longitude, and humidity over 10 yr (2009-2018). Data were analyzed to find out the correlation between age, gender, longitude and latitude, humidity and sum of precipitation. RESULTS: West Azerbaijan had the highest level of vitamin D with a mean level of 33.24 and a standard deviation of 32.001, and North Khorasan had the lowest level with a mean level of 14.46 and a standard deviation of 8.980 among 30 provinces of Iran. The correlation between all studied variables (age, and gender, latitude and longitude, humidity, the sum of precipitation) was significant (P<0.001). CONCLUSION: The average total vitamin D level in Iran is 25.41 ng/ml, which is within the area of deficiency. Vitamin D is associated with age, and gender, latitude and longitude, humidity, the sum of precipitation. So changes in any of these variables can lead to vitamin D alteration.

Conceptual definition and framework of climate change and dust storm adaptation: a qualitative study.

Climate Change Adaptation (CCA) is a complex, multi-disciplinary, and culture-dependent concept. This study aims to explore a conceptual definition, the subjective framework of CCA including its domains, attributes, and consequences. The approach of qualitative conventional content analysis was considered for the explanation of the subjective concept, and at the same time as the collection process, data analysis was performed using Zhang and Wildemuth's method. The interview method was semi-structured and sampling was targeted and with maximum diversity. The interview was conducted with 22 qualified experts. The accuracy and validity of the data were ensured using Guba and Lincoln scientific accuracy criteria. Six main categories including "sustainability, productivity, stability, empowerment, transformation, and flexibility" were conceptualized in the theme of adaptation characteristics. "Sustainable development, life improvement, response coordination and integration, creativity and innovation, resilience promotion, vulnerability reduction, effective management, and independence" were the main categories in the theme of the adaptation consequences. According to the results, the following conceptual-functional definition can be presented for adaptation to climate change: "CCA refers to the ability of system instability, sustainability, empowerment, productivity, flexibility, and transformation to climate change through the optimal use of resources, resistance, and coping, capacity building and opportunity creation". This definition is conceptual, it means that includes the main features of climate-adaptation and is also functional that is, includes adaptation strategies for climate change.

Interventions for Prevention of Intimate Partner Violence Against Women in Humanitarian Settings: A Protocol for a Systematic Review.

INTRODUCTION: Humanitarian emergencies and the number of people who are adversely affected are increasing. In such emergencies, the vulnerability of women and girls to gender-based violence increases signifi-cantly and they often experience high levels of intimate partner violence (IPV). There are a limited number of interventions to reduce gender-based violence (GBV) and IPV in the contexts of humanitarian emergencies, and there is uncertainty about the effectiveness of these preventive interventions. This is the protocol for a systematic review that will synthesize the evidence on interventions for primary or secondary prevention of IPV in humanitarian settings, and assess the effect of existing types of IPV-related interventions in these settings. METHODS AND DESIGN: The PRISMA-P 2015 statement has been used to prepare this report. Studies published from January 2000 to January 2017 will be reviewed with no language limits. Any experimental, quasi-experimental, or controlled trials will be included. A combination of four key concepts, including "IPV" AND "population" AND "humanitarian setting" AND "intervention" will be used in the search and a variety of information sources will be used: (1) bibliographic databases; (2) special databases and grey literature; (3) and the reference lists of eligible studies. Two reviewers will independently screen articles, extract relevant data and assess study quality. Discrepancies will be resolved through consensus. Risk of bias will be assessed using the Cochrane Risk of Bias tool and the quality of evidence will be assessed using the CONSORT checklist. A narrative synthesis will be provided. If a sufficient number of studies are found, their results will be pooled using a random-effects meta-analysis. For dichotomous outcomes, summaries of intervention effects for each study will be provided by calculating risk ratios with 95% confidence interval. Standardized mean differences will be used for continuous outcomes. DISCUSSION: The review will be useful for IPV management policy and related planning. It will help researchers, policymakers and guideline developers with an interest in reducing violence against women among refugees, internally displaced persons (IDPs), and conflict-affected population.

Knowledge, attitude, and practice about malaria: Socio-demographic implications for malaria control in rural Ghana.

Despite continuing international attention to malaria prevention, the disease remains a global public health problem. We investigated socio-demographic factors influencing knowledge, attitudes, and practices about malaria in rural Ghana. Our survey looked at 354 households. Mean knowledge score was higher among individuals with a history of volunteers having visited their households to educate them about malaria; families with 4-6 members; and males. Households with at least one under-five-aged child also had significantly higher knowledge scores. Households with at least one pregnant woman evinced a positive attitude towards malaria prevention. National malaria control strategies have achieved positive results in the fight against malaria. Nonetheless, multipronged community-based health strategies that integrate malaria programs and population growth control initiatives may be able to reach by 2030 the sustainable development goal of eliminating malaria.

Sperm Retrieval in Patients with Klinefelter Syndrome: A Skewed Regression Model Analysis.

BACKGROUND: The most common chromosomal abnormality due to non-obstructive azoospermia (NOA) is Klinefelter syndrome (KS) which occurs in 1-1.72 out of 500-1000 male infants. The probability of retrieving sperm as the outcome could be asymmetrically different between patients with and without KS, therefore logistic regression analysis is not a well-qualified test for this type of data. This study has been designed to evaluate skewed regression model analysis for data collected from microsurgical testicular sperm extraction (micro-TESE) among azoospermic patients with and without non-mosaic KS syndrome. MATERIALS AND METHODS: This cohort study compared the micro-TESE outcome between 134 men with classic KS and 537 men with NOA and normal karyotype who were referred to Royan Institute between 2009 and 2011. In addition to our main outcome, which was sperm retrieval, we also used logistic and skewed regression analyses to compare the following demographic and hormonal factors: age, level of follicle stimulating hormone (FSH), luteinizing hormone (LH), and testosterone between the two groups. RESULTS: A comparison of the micro-TESE between the KS and control groups showed a success rate of 28.4% (38/134) for the KS group and 22.2% (119/537) for the control group. In the KS group, a significantly difference (P<0.001) existed between testosterone levels for the successful sperm retrieval group (3.4 ± 0.48 mg/mL) compared to the unsuccessful sperm retrieval group (2.33 ± 0.23 mg/mL). The index for quasi Akaike information criterion (QAIC) had a goodness of fit of 74 for the skewed model which was lower than logistic regression (QAIC=85). CONCLUSION: According to the results, skewed regression is more efficient in estimating sperm retrieval success when the data from patients with KS are analyzed. This finding should be investigated by conducting additional studies with different data structures.

Determination of factors affecting relapse of vaginitis among reproductive-aged women: An experimental study.

INTRODUCTION: Vaginitis is a common problem for women, especially in reproductive-aged women. It is a worldwide health problem with many side effects but could be prevented by a health-promoting lifestyle related to vagina health. The aim of this study was to determine the factors affecting relapse of vaginitis. METHODS: In this experimental study, 350 reproductive-aged women with vaginitis were selected from 10 health centers in Kermanshah (Iran) during 2015 and were equally included in the intervention and control groups. To collect data, a researcher-created questionnaire, which included sociodemographic and health-promoting lifestyle questions, was used. The educational intervention was performed over 20 sessions, each lasting 25-35 minutes. An intervention group was educated by face-to-face education, pamphlets, phone contacts, text messages, and social media. Another group continued the routine clinic education and treatment without contacting the intervention group. Data were analyzed through chi-square and a logistics regression model using IBM-SPSS version 20. RESULTS: The results of the study indicated a significant relation between sociodemographic characteristics such as women and their husbands' literacy, job, family size, income, area for each member of family, tendency of pregnancy, body mass index (BMI), and caesarean experience (p<0.001) and vaginitis. In addition, significant relationships between health-promoting lifestyle dimensions and prevention of vaginitis were identified. Relapse after intervention in the intervention group was 27.7% and 72.3% in the control group. According to the logistic regression analysis, chance for relapse of vaginitis in the group that did not receive intervention was more than the same chance in the intervention group (OR=5.14). CONCLUSION: Health-promoting lifestyle intervention influences prevention of vaginitis. Health-promoting lifestyle, literacy promotion, prevention of caesarian, and obesity are beneficial to improvement in lifestyle dimensions associated with vagina health could be implemented as a successful prevention method. Therefore, it seems that applying a health-promoting lifestyle is essential for a healthy vagina and prevention of vaginitis.

Standardization as a Tool for Causal Inference in Medical Research.

Traditional standardization methods have been used in medical research for a long time to standardize the effect of interest for one confounder such as age. Model-based standardization extension of these methods is used when we have more than one variable produces an effect which is the population average and has marginal causal interpretation. In this paper, we discuss the most traditional model-based standardization methods that are used to estimate the marginal causal effect of exposure. We applied these methods to data from Tehran Thyroid Study and estimated the standardized effect of exposure on outcome. Based on the simulation studies, covariate standardization is preferred except when 1) we have enough information about the mechanism of exposure or 2) the outcome is rare and exposure is frequent, so propensity score standardization is suggested.

Time Series Analysis of Meteorological Factors Influencing Malaria in South Eastern Iran.

BACKGROUND: The Malaria Early Warning System is defined as the use of prognostic variables for predicting the occurrence of malaria epidemics several months in advance. The principal objective of this study was to provide a malaria prediction model by using meteorological variables and historical malaria morbidity data for malaria-endemic areas in south eastern Iran. METHODS: A total of 2002 locally transmitted microscopically confirmed malaria cases, which occurred in the Minab district of Hormozgan Province in Iran over a period of 6 years from March 2003 to March 2009, were analysed. Meteorological variables (the rainfall, temperature, and relative humidity in this district) were also assessed. Monthly and weekly autocorrelation functions, partial autocorrelation functions, and cross-correlation graphs were examined to explore the relationship between the historical morbidity data and meteorological variables and the number of cases of malaria. Having used univariate auto-regressive integrated moving average or transfer function models, significant predictors among the meteorological variables were selected to predict the number of monthly and weekly malaria cases. Ljung-Box statistics and stationary R-squared were used for model diagnosis and model fit, respectively. RESULTS: The weekly model had a better fit (R(2)= 0.863) than the monthly model (R(2)= 0.424). However, the Ljung-Box statistic was significant for the weekly model. In addition to autocorrelations, meteorological variables were not significant, except for different orders of maximum and minimum temperatures in the monthly model. CONCLUSIONS: Time-series models can be used to predict malaria incidence with acceptable accuracy in a malaria early-warning system. The applicability of using routine meteorological data in statistical models is seriously limited.