Medical Journal of The Islamic Republic of Iran (MJIRI)

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Using a cluster sampling method, a group of menopausal women from three geographic areas in Tehran were asked to participate in the study. Demographic data was obtained using a questionnaire. Subjects were than referred to perform bone mass densitometry (BMD). The relationship between various variables (i.e. age of menarche, number of years of endogenous estrogen exposure, ... ) with mineral density of the lumbar spine and femur were sought. Results showed that the incidence of bone loss during menopause was high among these women. Earlier age of menarche and longer reproductive years, higher BMI, previous usage of OCP and HRT are likely to increase BM. Being active at home and doing household chores can greatly influence the BMD of the femur. Poor dietary calcium intake may be the main reason for low BMD among the studied subjects.

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  Background: Reproductive health problems affect youths in all countries. There is an urgent need to enhance youths reproductive health services to provide a healthy life for this group. In this regard, the present study aimed to evaluate the Reproductive Health Peer Education Program based on the opinion of university students.

  Methods :This interventional study was conducted in Qazvin University of Medical Sciences through the peer education method. The participants of this study were 24 peer educators who received training in a 40 hour peer educator training course. The peer education program was implemented in the university. In order to evaluate this community- based intervention, 329 students were selected through the stratified sampling method and their opinion was assessed. Descriptive statistical methods were used by SPSS software for data analysis.

  Results :The results of the study revealed that peer education was accepted by 64.7% (n= 213) of the students, according to their opinion. The educational priorities of the students were as follows: pre-marriage counseling (78%, n= 166) STI/AIDS (17%, n= 36) and contraception (5%, n= 11). The peer education program was recognized as the most required reproductive health service in the university by 55.3% (n= 118) of the students. They believed that the most important duties of the peer educators were: education (33.5%, n= 71) counseling (30.4%, n= 65) referring to a counseling center (21.6%, n= 46) and referring to a therapeutic center (14.5%, n= 31). Also, the students stated that confidentiality (53%, n=113), suitable communication (26%, n= 55) and sufficient knowledge (21%, n= 45) were desired characteristics for the peer educators.

  Conclusion : According to the students' opinion, peer education could provide suitable reproductive health services and could also be beneficial for reproductive health promotion and might reinforce positive behaviors in youths. Reproductive health peer- counseling is a sensitive process, and it is best to be conducted under the supervision of specialists.

 

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Background: LBW is an important factor that can affect infant mortality and represents an index of economic and social development. It is expected that an increase in the density of midwives attending family physician programs will lead to a decrease in LBW in health centers. This study aimed to compare the percentage of LBW infants before and after the implementation of the family physician program in health centers with and without an increase in midwives density.
  Methods: This cross-sectional study compared the percentage of LBW infants before and after the implementation of family physician programs in rural health centers with and without changes in midwives density in Kurdistan. In this study, we included 668 mothers of 2-month-old children and administered structured interviews in 2005 and 2013. Data were analyzed using the difference-in-differences and the Matchit statistical models.
  Results: The Matchit model showed a significant average percentage increase 0.08 (0.006–0.17) in LBW infants born between 2005 and 2013 in health centers where the density of midwives increased compared with those where it remained unchanged. The difference-in-differences model showed that the odds ratio of LBW infants is increased by more than twice among participants who had a history of caesarean section.
  Conclusion: The results of this study showed that an increase in the density of midwives in a family physician program did not have an impact on reducing the percentage of LBW infants born between 2005 and 2013, in health centers where the density of midwives augmented compared to those where it remained unaltered; it indicated that the increase in the density of midwives alone was not efficient. On the other hand, the results of our study show an increase in the risk of infants born at a LBW due to caesarean section. It is recommended that obstetricians and gynecologists must strictly control pregnancies and avoid unnecessary termination of pregnancy.
 

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   Background: The Bayesian methods have received more attention in medical research. It is considered as a natural paradigm for dealing with applied problems in the sciences and also an alternative to the traditional frequentist approach. However, its concept is somewhat difficult to grasp by nonexperts. This study aimed to explain the foundational ideas of the Bayesian methods through an intuitive example in medical science and to illustrate some simple examples of Bayesian data analysis and the interpretation of results delivered by Bayesian analyses. In this study, data sparsity, as a problem which could be solved by this approach, was presented through an applied example. Moreover, a common sense description of Bayesian inference was offered and some illuminating examples were provided for medical investigators and nonexperts.
   Methods: Data augmentation prior, MCMC, and Bayes factor were introduced. Data from the Khuzestan study, a 2-phase cohort study, were applied for illustration. Also, the effect of vitamin D intervention on pregnancy outcomes was studied.
   Results: Unbiased estimate was obtained by the introduced methods.
   Conclusion: Bayesian and data augmentation as the advanced methods provide sufficient results and deal with most data problems such as sparsity.