BackgroundPreterm birth is a major cause of prenatal and postnatal mortality particularly in developing countries. This study investigated the maternal risk factors associated with the risk of preterm birth.MethodsA population-based case-control study was conducted in several provinces of Iran on 2463 mothers referred to health care centers. Appropriate descriptive and analytical statistical methods were used to evaluate the association between maternal risk factors and the risk of preterm birth. All tests were two-sided, and P values < 0.05 were considered to be statistically significant.ResultsThe mean gestational age was 31.5 ± 4.03 vs. 38.8 ± 1.06 weeks in the case and control groups, respectively. Multivariate regression analysis showed a statistically significant association between preterm birth and mother’s age and ethnicity. Women of Balooch ethnicity and age ≥ 35 years were significantly more likely to develop preterm birth (OR: 1.64; 95% CI: 1.01–-2.44 and OR: 9.72; 95% CI: 3.07–30.78, respectively). However, no statistically significant association was observed between preterm birth and mother’s place of residence, level of education, past history of cesarean section, and BMI.ConclusionDespite technological advances in the health care system, preterm birth still remains a major concern for health officials. Providing appropriate perinatal health care services as well as raising the awareness of pregnant women, especially for high-risk groups, can reduce the proportion of preventable preterm births.

Objectives: Reducing infant mortality in the whole world is one of the millennium development goals.The aim of this study was to determine the factors related to infant mortality using data mining algorithms. Methods: This population-based case-control study was conducted in eight provinces of Iran. A sum of 2,386 mothers (1,076 cases and 1,310 controls) enrolled in this study. Data were extracted from health records of mothers and filled with checklists in health centers. We employed several data mining algorithms such as AdaBoost classifier, Support Vector Machine, Artificial Neural Networks, Random Forests, K-nearest neighborhood, and Naïve Bayes in order to recognize the important predictors of infant death; binary logistic regression model was used to clarify the role of each selected predictor. Results: In this study, 58.7% of infant mortalities occurred in rural areas, that 55.6% of them were boys. Moreover, Naïve Bayes and Random Forest were highly capable of predicting related factors among data mining models. Also, the results showed that events during pregnancy such as dental disorders, high blood pressure, loss of parents, factors related to infants such as low birth weight, and factors related to mothers like consanguineous marriage and gap of pregnancy (< 3 years) were all risk factors while the age of pregnancy (18 - 35 year) and a high degree of education were protective factors. Conclusions: Infant mortality is the consequence of a variety of factors, including factors related to infants themselves and their mothers and events during pregnancy. Owing to the high accuracy and ability of modern modeling compared to traditional modeling, it is recommended to use machine learning tools for indicating risk factors of infant mortality.

IntroductionPreterm labor is the main cause of infants’ death, and the main reason for undesirable consequences of pregnancy which still occur in some births, despite all of the interventions in this regard. The aim of this study was to evaluate every preterm birth and determine its maternal risk factors in Hormozgan province in 2013.MethodsThis case-control study was conducted in 2013 on the health and hospital records of 735 pregnant mothers with preterm labor (20–37 weeks) which were located in Bandar Abbas in southeast Iran. The sampling method would be multi-stage cluster sampling. The data collecting tool was a valid questionnaire by the Iran Ministry of Health and Medical Education, which included 5 components (demographic information, checking the current pregnancy of the mother, the maternal factors related to preterm labor in the previous pregnancy, evaluating the fetal factors associated with preterm labor in the current pregnancy and other additional information related to the factors associated with prematurity). Data were analyzed using descriptive statistics, regression and Chi-square testsResultsThe prevalence of preterm labor in Hormozgan province in 2013 was 5.5%. In our study and among the effective factors on preterm labor, revealed genital-urinary tract infections during pregnancy were (35.8%), PROM (30.3%), history of abortion (19.9%) and unplanned pregnancy (18.1%) in between pregnant women with preterm labor. Our study showed that most mothers had delivered in 33 to 37 weeks among the mothers who had preterm labor in 2013 (75%) and the statistic of very preterm labor (less than 32 weeks) in Hormozgan was 5%.ConclusionIdentification of the prevalence and associated factors with preterm labor can reduce the mortality rate and infants’ complications of it in addition to help find a way to prevent this problem.

Background:HIV epidemic is mostly targeted adults and has numerous negative health, social, economic, cultural and political consequences. In this study Life Expectancy (LE) and Average Years of Life Lost (AYLL) in HIV/AIDS patients are estimated.Materials and Methods:In this descriptive study all the patients at the age of 18 and more under the care of BandarAbbas Behavioral Disorders Counseling Center (BBDCC) during 2005-2015 are included. The town of BandarAbbas is center of Hormozgan Province in southern Iran. LE and AYLL have been estimated based on Life Table.Results:One hundred thirty four of the 426 eligible patients died during the study period. Compared to the general population LE for HIV/AIDS patients at age 20 is 46 years less in comparison with the general population of BandarAbbas. Moreover, a total of 8839 years of life lost during 2005-2015.Conclusion:LE in HIV/AIDS patients is less than LE among BandarAbbas general population and AYLL among them is more than general population. Most of the years of life lost are preventable if the health care system seriously will implement programs to control HIV/AIDS.

Background: Iron deficiency anemia (IDA) during pregnancy is a common nutritional disorder with adverse effects for the baby, such as premature birth and low birth weight, and the mother, such as cardiovascular symptoms and reduced physical and mental strength. Therefore, identifying factors affective on IDA will assist the improvement of the health of the mother and fetus. This study aimed to determine the prevalence of IDA in the first and third trimester of pregnancy and some related factors in pregnant women referred to healthcare centers in Bandar Lengeh, Iran, in 2015. Materials and Methods: In this cross-sectional study, 418 pregnant women, who were referred to health centers in the city and had completed their pregnancy, were assessed through systematic sampling. Data were collected using the researcher-made checklist and through a review of health records. Data were analyzed using chi-square, Fisher's exact, and McNemar's test. Results: The mean age of the participants was 27.17 ± 5.62 and most participants were in the age group of 18-35, had high school education, were homemakers, and experienced their first pregnancy. The findings of the study showed that the prevalence of IDA was 22.5% (confidence interval: 18.4%-26.5%) and 45.9% (Confidence interval: 41.1%-50.6%) in first and third trimester of pregnancy, respectively. IDA in first and third trimester of pregnancy had significant correlation with pregnancy interval (P < 0.009 and P < 0.001, respectively); with increase in the pregnancy interval, the prevalence of IDA also increased. Conclusions: According to the results, it seems that the prevalence of IDA was undesirable, especially in the third trimester. Since this eating disorder is a preventable complication and pregnant women are a group at risk of anemia, attention to the expansion of pre-pregnancy care, increased awareness of mothers regarding appropriate nutrition and maintenance of a diverse and balanced diet, regular consumption of supplements, contraception in older women, and maintenance of appropriate intervals between pregnancies seem essential.