Syntax of social life in postpartum depression: Mother-child interaction

Purpose: Understand the difficulties and experienced of individuals suffering from postpartum depression, related to mood disturbances, the mother-child bond and its repercussions in the meanings established for the experience of being a mother. Methods: Forty-one patients were interviewed, with ages ranging from 20 to 49 years, from a total of 106 attended at the Primary Care Unit, in the interior of the state of Parahiba, Brazil. A sample of 21 women was selected, presenting an inclusion profile, propitious to mapping postpartum depression. The eligible patients were referred by two PSF (Health Family) teams (one each from the urban and rural zones), aimed at diagnosing the psychic disturbance of the perperium. They were accompanied by a psychologist and all signed an informed consent form. A field diary supported the information recorded. Beck's Depression Inventory complemented the inclusion and follow-up of the patients. The data were analyzed statistically. Results: We confirmed the findings of the most recent studies that infant abandonment in the postpartum period occurs in situations where multiple and serious factors add up, such as misery (86.7%), little schooling (67%), lack of a support network (36.5%), estrangement of the mother's family relations (12%) and lack of paternal involvement (91.5%). Conclusion: The feeling of psyching pain and suffering, resulting from postpartum depression, is the most emphasized by women (87%) because it triggers the greatest discomfort, due to the difficulty in overcoming it.

Evaluation of the prevalence and nutritional and social determinants of overweight in a population of schoolchildren: a cross-sectional analysis of 5,037 children

Objective: To evaluate the prevalence and nutritional and social determinants of overweight in a population of schoolchildren in Southern Brazil. Methods: Cross-sectional descriptive study of 5,037 children of both genders, between 6 and 10.9 years of age, from public and private schools of Maringa, Parana, Brazil. Evaluation of factors associated with excess weight (overweight and obesity) included gender, age, school type, socioeconomic level, education of the head of the family, eating habits, and means of commuting to school. After univariate analysis (Fisher's exact test), we adjusted a logistic regression model and used Wald's test for decision-making (p < 0.05). Results: The mean age was 8.7 +/- 1.3 years, with 52.8% females; 79.1% of the students attended public school and 54.6% had families of socioeconomic class A or B. Regarding nutritional status, 24% of children were overweight (7% obesity, 17% overweight). Being male, attending a private school, and having a head of the family with over four years of education were significantly associated with excess weight. In relation to food, inadequate intake of,carbohydrates was associated with a 48% greater chance of overweight/obesity (p < 0.001; OR: 1.48; 95% CI: 1.25-1.76), Conclusion: The prevalence of overweight found in this study is approximate to that reported in national studies. Its association with gender and inadequate food intake indicates that these factors should be considered in initiatives aimed at preventive measures in childhood.

Spatio-temporal patterns of tuberculosis incidence in Ribeirao Preto, State of Sao Paulo, southeast Brazil, and their relationship with social vulnerability: a Bayesian analysis

Introduction: The purpose of this ecological study was to evaluate the urban spatial and temporal distribution of tuberculosis (TB) in Ribeirao Preto, State of Sao Paulo, southeast Brazil, between 2006 and 2009 and to evaluate its relationship with factors of social vulnerability such as income and education level. Methods: We evaluated data from TBWeb, an electronic notification system for TB cases. Measures of social vulnerability were obtained from the SEADE Foundation, and information about the number of inhabitants, education and income of the households were obtained from Brazilian Institute of Geography and Statistics. Statistical analyses were conducted by a Bayesian regression model assuming a Poisson distribution for the observed new cases of TB in each area. A conditional autoregressive structure was used for the spatial covariance structure. Results: The Bayesian model confirmed the spatial heterogeneity of TB distribution in Ribeirao Preto, identifying areas with elevated risk and the effects of social vulnerability on the disease. We demonstrated that the rate of TB was correlated with the measures of income, education and social vulnerability. However, we observed areas with low vulnerability and high education and income, but with high estimated TB rates. Conclusions: The study identified areas with different risks for TB, given that the public health system deals with the characteristics of each region individually and prioritizes those that present a higher propensity to risk of TB. Complex relationships may exist between TB incidence and a wide range of environmental and intrinsic factors, which need to be studied in future research.