Validation of the Family Health Behavior Scale for the Brazilian population

Abstract Objective: To validate the Family Health Behavior Scale (FHBS) for Brazilian families. Methods: The sample included 272 children aged 5 to 12 years old. Caregivers and their healthy answered the FHBS and questions about physical activity. In addition, anthropometric measurements of the children's weight and height were performed, as well as the bioimpedance exam. The scale was translated and the following validities were assessed: content (qualitative analysis and content validity index), construct (factor analysis) and concurrent validity (difference between domains and the total score with the categories of BMI, fat percentage and physical activity). Reliability (Cronbach's alpha, ceiling-floor effect, two-half test, intraclass correlation and Bland - Altman) was also assessed. Results: FHBS instrument performed well with regard to the psychometric properties in the Brazilian population. The content validity index was 0.987. Fit indices of the factor analysis were considered satisfactory, according to Bartlett's sphericity test (χ 2 = 1927, df = 351; p < 0.001) and the Kaiser-Meyer-Olkin index (KMO = 0.789). Concurrent validity, the differences between the mean of the domains and the total score between the categories of BMI (p = 0.011), percentage of fat (0.004) and physical activity (p < 0.001) were all significant. The reliability results were Cronbach's alpha internal consistency = 0.83, adequate ceiling-floor effect, 0.8105 (0.09 SD) two-half test, 0.626 intraclass correlation (95% CI: 0.406 to 0.777) and Bland - Altman -0.840 (-22.76 to 21.07). Conclusion: The FHBS adapted for the Brazilian population showed evidence of adequate psychometric performance.

Validation of the Family Health Behavior Scale for the Brazilian population.

OBJECTIVE: To validate the Family Health Behavior Scale (FHBS) for Brazilian families. METHODS: The sample included 272 children aged 5 to 12 years old. Caregivers and their healthy answered the FHBS and questions about physical activity. In addition, anthropometric measurements of the children's weight and height were performed, as well as the bioimpedance exam. The scale was translated and the following validities were assessed: content (qualitative analysis and content validity index), construct (factor analysis) and concurrent validity (difference between domains and the total score with the categories of BMI, fat percentage and physical activity). Reliability (Cronbach's alpha, ceiling-floor effect, two-half test, intraclass correlation and Bland - Altman) was also assessed. RESULTS: FHBS instrument performed well with regard to the psychometric properties in the Brazilian population. The content validity index was 0.987. Fit indices of the factor analysis were considered satisfactory, according to Bartlett's sphericity test (χ 2 = 1927, df = 351; p < 0.001) and the Kaiser-Meyer-Olkin index (KMO = 0.789). Concurrent validity, the differences between the mean of the domains and the total score between the categories of BMI (p = 0.011), percentage of fat (0.004) and physical activity (p < 0.001) were all significant. The reliability results were Cronbach's alpha internal consistency = 0.83, adequate ceiling-floor effect, 0.8105 (0.09 SD) two-half test, 0.626 intraclass correlation (95% CI: 0.406 to 0.777) and Bland - Altman -0.840 (-22.76 to 21.07). CONCLUSION: The FHBS adapted for the Brazilian population showed evidence of adequate psychometric performance.

Can skinfold thickness equations be substituted for bioimpedance analysis in children?

Abstract Objective: The aim of the present study was to evaluate the agreement between the most used skinfold thickness equations with multi-frequency bioimpedance analysis in the prediction of body fat levels in children. Method: A cross-sectional study of healthy Brazilian community-dwelling individuals. The anthropometric assessment included height, body mass, arm circumference, and waist circumference. The percentage of body fat was obtained by measuring skinfold thickness equations and using bioimpedance analysis, and skinfold thickness was measured using a scientific skinfold caliper. Bland-Altman plot analysis was used to verify the agreement between the methods. Results: There were 439 children and adolescents evaluated, with a mean age of 11.6 ± 3.7 years. The mean body fat by bioimpedance analysis was 22.8% ± 10.4%, compared to 22.4% ± 8.8% by Slaughter (1), 20.4% ± 9.2% by Slaughter (2), 19.6% ± 4.4% by Goran, and 24.7% ± 10.0% by Huang equations. Bland-Altman plot analysis revealed limits of agreement greater than 8% between the bioimpedance analysis approach and equations, exceeding the clinically acceptable limit predefined a priori. None of the equations had good agreement with bioimpedance analysis. Conclusion: It was concluded that skinfold thickness and bioimpedance analysis should not be used interchangeably in children and adolescents.

Can skinfold thickness equations be substituted for bioimpedance analysis in children?

OBJECTIVE: The aim of the present study was to evaluate the agreement between the most used skinfold thickness equations with multi-frequency bioimpedance analysis in the prediction of body fat levels in children. METHOD: A cross-sectional study of healthy Brazilian community-dwelling individuals. The anthropometric assessment included height, body mass, arm circumference, and waist circumference. The percentage of body fat was obtained by measuring skinfold thickness equations and using bioimpedance analysis, and skinfold thickness was measured using a scientific skinfold caliper. Bland-Altman plot analysis was used to verify the agreement between the methods. RESULTS: There were 439 children and adolescents evaluated, with a mean age of 11.6±3.7 years. The mean body fat by bioimpedance analysis was 22.8%±10.4%, compared to 22.4%±8.8% by Slaughter (1), 20.4%±9.2% by Slaughter (2), 19.6%±4.4% by Goran, and 24.7%±10.0% by Huang equations. Bland-Altman plot analysis revealed limits of agreement greater than 8% between the bioimpedance analysis approach and equations, exceeding the clinically acceptable limit predefined a priori. None of the equations had good agreement with bioimpedance analysis. CONCLUSION: It was concluded that skinfold thickness and bioimpedance analysis should not be used interchangeably in children and adolescents.

Dietary patterns of adults with asthma treated at a referral center for asthma

Introduction: Consumption of foods with anti-inflammatory and antioxidant components could contribute to a better control of the asthma. The aim of this study was to assess the association between dietary patterns, nutritional status, and asthma control in patients treated at an asthma referral center in Porto Alegre, Brazil. Methods: This is a cross-sectional study with 198 adult asthma patients. Participants completed a 24-hour food recall and a questionnaire on disease history, degree of control, and severity, as well as pulmonary and anthropometric assessments. We used exploratory factor analysis and principal component analysis as an extraction method to derive the dietary patterns. Results: The mean body mass index was 29.6 (SD, 5.7) kg/m2, and 41.9% were classified as obese. Regarding disease severity, 72.7% were classified as having severe persistent asthma, and concerning the degree of control, 59.6% of the patients had uncontrolled asthma. Three dietary patterns were identified: "Sugars", "Healthy", and "Fats and Alcohol". It was observed that the Fats and Alcohol pattern was significantly associated with men. However, no associations were observed between the other variables and dietary patterns. Conclusion: This was the first study to identify the dietary patterns in asthmatics in Brazil. Patterns found in the present study were "Sugars", "Healthy" and "Fats and Alcohol". However, there was no significant association between the 3 patterns and nutritional status or disease control. (AU)

Effects of Diet on Telomere Length: Systematic Review and Meta-Analysis.

BACKGROUND: The goal of this systematic review and meta-analysis is to determine the effect of diet on telomere length. METHODS: We searched the following databases: MEDLINE, Embase, LILACS, CINAHL, ISI Web of Science, and Scopus, as well as the Cochrane Central Register of Controlled Trials and the National Institutes of Health, from inception to December 2016. Articles that assessed effects of diet on telomere length were included. RESULTS: A total of 2,128 studies were identified, 30 were read in full, and 7 were systematically reviewed. Five RCTs were included in the meta-analysis, covering 9 diets; a total of 533 participants were included. Study heterogeneity (I2) was 89%, and differences were not identified regarding average telomere lengths (mean difference 1.06; 95% CI -1.53 to 3.65). CONCLUSION: The available evidence suggests that there is no effect of diet on telomere length, but the strong heterogeneity in the type and duration of dietary interventions does not allow any final statement on the absence of an effect of diet on telomere length.