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Background and Objective: Child obesity is increased in developing countries. This study assessed the prevalence of obesity on children which are exclusively on breast feeding and its duration among children aged 24-59 months in Bandar Turkmen district Northern, Iran.

Materials and Methods: In this descriptive- analytical study, 343 in children aged 24-59 months were selected with stratified random sampling. Obesity was defined as >+2SD NCHS (National Center for Health Surveys) reference. Data were collected by questionnaire, interview with mothers and were analyzed with Chi-Square and Fisher tests and multiple regression logistic models.

Results: In this study, 6.4% of children were obese. Prevalence of obesity was not significantly different between boys and girls (5.4% and 7.4% respectively). Breast feeding duration<18 months (P<0.005) and formula or cow’s milk plus breast feeding up to 6 months old (P<0.01) was significantly correlated with children’s obesity. Breast feeding duration more than 18 months reduced the obesity risk factor with 64%.

Conclusion: This study demonestrated that exclusively breast feeding in the first 6 months of life and breast feeding duration more than 18 months reduce the child obesity.

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Background and Objective: Tuberculosis (TB) is the most important cause of death worldwide. The main reason for the increasing global burden of TB are severe poverty and class distinctions between rich and poor population groups in various communities. This study was performed to determine the relationship between socio-economic factors and TB using negative binomial and Poisson regression models. Method: This descriptive - analytic study was conducted on 11320 TB affected patients in Iran during 2010. Data was gathered from the Iranian Ministry of Health and Medical Education. The relationship between the numbers of cases with socio-economic indicators was determined using negative binomial and Poisson models. Fitting models were compared using AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion). Results: The Poisson regression model showed a significant relationship between the TB mortality rate and socio-economic factors (P<0.05). Negative binomial regression model showed a significant relationship between TB and unemployment, illiterate, immigration and urban residency (P<0.05). Negative binomial regression model showed no relationship between TB and family size, physicians’ ratio to the number of population centers and annual average income. Conclusion: There is a significant impact of socio-economic factors with the number of TB cases. Negative binomial regression model is suitable for accountable data in comparision with Poisson regression model.