Parental gender differences in the estimation of their offspring's dietary intake

International Journal of Obesity Abstracts S223 T5:PS.178 Parental gender differences in the estimation of their offspring's dietary intake Cordeiro, T1, Padrão, P1, Valente, H1,5, Bessa, M1, Martins, P1, Moreira, A2,3, Lopes, C4, Moreira, P1,5 1 Faculty of Nutrition and Food Sciences of the University of Porto 2 Department of Immunology, Faculty of Medicine, University of Porto, Porto, Portugal 3 Department of Immunoallergology, University Hospital of São João, Porto, Portugal 4 Department of Hygiene and Epidemiology, University of Porto Medical School 5 Research Centre in Physical Activity, Health and Leisure, University of Porto Objective: To assess parental gender differences in the estimation of the dietary intake of their offspring. Methods: The study was performed in a convenience sample of 1976 subjects. Children’s height and weight were measured and body mass index (BMI) was calculated. Children’s caretakers completed a self-administered questionnaire, which provided information on family background characteristics, including dietary intake, using a food frequency questionnaire. Unconditional logistic regression models were fitted to estimate the magnitude of the association between children’s food consumption and respondents (mother or father), adjusting for confounders (age, BMI, energy intake, and parental education). Results: Higher consumption of vegetable soup was more frequently reported by mothers compared to fathers in girls (OR = 1.51, 95% CI 1.09 - 2.10, p = 0.010) and boys (OR = 1.63, 95% CI 1.06 - 2.29, p = 0.005), but after adjusting for confounders the association remained statistically significant only in boys (OR = 1.63, 95% CI 1.11 - 2.39, p = 0.013). Higher intake of fruit was also more frequently reported by mothers than fathers in girls (OR = 2.05, 95% CI 1.46 – 2.87, p < 0.001) and boys (OR = 1.48, 95% CI = 1.06 - 2.07, p = 0.020), even after adjusting for confounders (OR = 2.04, 95% CI 1.40 - 2.98, p < 0.001, in girls, and OR = 1.53, 95% CI 1.04 - 2.26, p = 0.030, in boys). Conclusion: Compared to fathers, mothers tend to report higher consumption of vegetable soup in boys and fruit in both genders. T5:PS.180 An Examination of the Association of Heavy Metals with Weight Gain/Obesity: NHANES 99-02 Padilla, M1, Elobeid, M1, Allison, D1 1University of Alabama at Birmingham, Birmingham, Alabama, U.S.A. Recent evidence suggests that body chemistry imbalance can cause energy deficiency which consequently leads to weight gain/central fat. Heavy metals may play a role in causing obesity by displacing vital minerals such as zinc and copper, which in turn may affect energy production, carbohydrate tolerance, and other aspects of physiology. We examine the association between waist circumference (WC), and body mass index (BMI), with selected heavy metals. Approximately 4200 NHANES 99-02 p articipants were used. Linearity was improved by taking the natural log of each heavy metal. Heavy metals investigated were barium, cadmium, cobalt, cesium, molybdenum, lead, antimony, thallium, and tungsten. BMI was regressed on gender, ethnicity, age, creatinine, heavy metals, and gender by heavy metals. Main effects were found for barium (p=.0189), cadmium (p=.0429), cesium (p=.0004), lead (p<.00005), and thallium (p=.0062) along with a gender by cesium (p=.0402) interaction. When WC was regressed on the same variables, main effects were found for barium (p=.0255), cesium (p=.0002), molybdenum (p=.0018), lead (p=.0000), and thallium (p=.0071) along with a gender by cesium (p=.0414) interaction. There are positive associations for barium and thallium with BMI and WC. The association is reversed for lead and cesium with BMI and WC. However, the cesium relationship is stronger for females than males. Environmental exposure to heavy metals may burden the human body with toxicity as well as weight gain and hence obesity. Funding: Research relating to this abstract was funded by R01AR052658-03S1, T32HL007457-25, & P30DK056336 T5:PS.181 Socioeconomic and behavioural correlates of overweight among South Mediterranean adolescents (Tunisia) Aounallah-Skhiri, H1, Ben Romdhane, H1, El Ati, J2, Traissac, P3, Eymard-Duvernay, S3, Landais, E3, Achour, N1, Delpeuch, F3, Maire, B3. 1National Public Health Institute, Tunis, Tunisia; 2 National Institute of Nutrition, Tunis, Tunisia 3Research Unit 106, Nutrition, Food, Societies, IRD Montpellier, France Introduction: Obesity in adolescence is becoming a public health concern in developing countries. However, few data are available concerning its prevalence and related factors. This study aimed at assessing the overweight prevalence of adolescents and its correlated factors in Tunisia. Methodology: This cross-sectional study, based on a multistage stratified random cluster sample, representative of 3 contrasted socioeconomic regions in Tunisia, was carried out in 2005 on 1019 adolescents aged 15-19 years. Socioeconomic characteristics, anthropometric measures, food consumption (from which diet patterning and quality index were derived) and physical activity behaviour characteristics were recorded during home visits. Multivariate analysis was performed to identify overweight’s correlates. Results: Prevalence of overweight (>=85thperc), and obesity (>=95thperc) ((NCHSWHO reference) were respectively 18.9% and 4.3% (15.2% and 2.6% - IOTF definition). Prevalence of overweight increased significantly by socioeconomic level of region (from 3.7% to 22.9%) and was higher in urban (21.5%) than rural areas (8.1%) for boys; whereas no significant difference was found for girls. Overweight was related to diet structure and quality for boys only. After adjustment, overweight was positively associated to living in an urban area, higher educational level of the mother, sedentary lifestyle and irregular afternoon snacking, for boys, It was positively related to school dropout and the higher level of mother’s education for girls. Conclusion: Overweight in late adolescence has become a true public health problem in Tunisia. Girls were exposed equally to overweight in rural and urban areas whereas it was more related to the westernization of lifestyle for boys. Funding: Research relating to this abstract was funded by the European Union (INCO: Med Projects (1998-2002) Epidemiological Transition And Health Impact in North Africa - Contract Number: ICA3-CT-2002-10011), UNICEF, The Tunisian National Public Health Institute and IRD. T5:PS.182 Improvement in quality of life in obese patients is independent of weight loss Bolado-García, VE1, López-Alvarenga, JC2, Soto, GJ1, Liceaga, CMG1, Comuzzie, GA2, Castro-Martínez, MG1 1Obesity Clinic. Hospital General Regional No. 1 Carlos McGregor Sánchez Navarro- IMSS, Mexico city. Mexico; 2Department of Genetics, Southwest Foundation for Biomedical Research, San Antonio, Texas. UEA. Besides weight loss, quality of life (QL ) is another measurement of treatment impact. If QL depends onl y on wei g ht loss could be considered as surro g ate and in this case could loss si g nificance. This stud y investi g ated the relation between QL score and weight loss. The time of permanence in follow up was considered another variable of interest for QL assessment. We used the IWQOL ( Impact of Wei g ht on Qualit y of Life ) developed in the University of Duke. It has 8 areas, validated by our team. We included 69 patients, 55 with complete data (44 women and 11men ) . A g e 44.5±9.5 y o, BMI 38±5.8, waist circumference 107.2±13.13 cm and mean follow up using Kaplan-Meier was 7±0.4 months. Changes in QL and correlation with weight change: Area Improvement in QL (IC 95%) (p) Correlation with weight reduction (p) Health 5.6 (3.6-7.7) (<0.001) -0.10 (0.46) Food enjoyment 2.3 (1.0-3.6) (<0.001) 0.044 (0.75) Personal 3.7 (2.4-5.0) (<0.001) -0.072 (0.60) Labour 1.8 (0.3-3.3) (<0.05) -0.09 (0.52) Physical activity 5.8 (3.7-7.9) (<0.001) 0.07 (0.63) Social 3.2 (1.7-4.6) (<0.001) -0.052 (0.71) Sexual 2.4 (1.2-3.6) (<0.001) 0.13 (0.34) Self-confidence 3.4 (1.9-4.9) (<0.001) -0.04 (0.78) Fifty percent of conditioned success weight lost of 5 or 7% using Kaplan-Meier analysis was obtained at 6.3 months. We concluded obese sub j ects with BMI >30 improved the QL score independentl y of BMI decrease and the time of follow up at the clinic. To obtain at least 50% of conditional success in wei g ht loss patients should be maintained in treatment for more than 6 months.