2 resultados para Investments. Infant Mortality. Socioeconomic Factors. Health Systems

em Scielo España


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Case-control studies evaluating the factors associated with childhood obesity are scarce in Brazil. We aimed to analyze the factors associated with obesity in Brazilian schoolchildren enrolled in the School Health Program.A case-control study was conducted on 80 schoolchildren aged 7 to 9 years, 40 of them obese and 40 of normal weight according to the cut-off points established by the World Health Organization (2007). Weight, height and waist circumference were obtained. Socioeconomic, demographic, health, eating behavior and lifestyle data were collected by applying a questionnaire to the person responsible and by determining his/her nutritional status. A binary unconditional logistic regression model (univariate and multivariate) was used for data analysis. The prevalence of obesity was 7.21%. The final model showed that duration of breast-feeding ≥6 months of age (OR 5.3; 95% CI: 1.3-22.1), excess weight of the person responsible (OR 7.1; 95% CI: 1.2-40.2), a sedentary level of physical activity (OR 4.1; 95% CI: 1.115.5), and fast chewing (OR 7.4; 95% CI: 2.1-26.9) were significantly associated with childhood obesity. The factors associated with obesity in schoolchildren were duration of breast-feeding ≥6 months, persons responsible with excess weight, and sedentary children who chew fast. The present study contributes information to be used for the health actions planned by the School Health Program.

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Objective: To explore the effect of patient characteristics and health beliefs on their medication adherence. Methods: Patients (n=167) with chronic conditions (mean age 58.9; SD=13.54, 53% males) were recruited from March 2009- to March 2010 using a cross sectional study design. Data collected included patients’ demographics, medical conditions, medications therapeutic regimen, frequency of physician visits and health beliefs. Patient self-reported adherence to medications was assessed by the researcher using a validated and published scale. Treatment related problems (TRPs) were evaluated for each patient by competent clinical pharmacists. Associations between patient characteristics/health beliefs with adherence were explored. Results: About half of the patients (46.1%) were non-adherent. A significant association was found between lower adherence and higher number of disease states (p<0.001), higher number of medications (p=0.001), and higher number of identified TRPs (p = 0.003). Patient adherence was positively affected by older age, higher educational level, and higher number of physician visits per month, while it was negatively affected by reporting difficulties with getting prescription refills on time. Conclusion: This study identified different factors that may negatively affect adherence, including higher number of medications and disease states, higher number of identified TRPs and inability to getting prescription refills on time. Hence, more care needs to be provided to patients with complex therapeutic regimens in order to enhance adherence.