Banca de QUALIFICAÇÃO: JÉSSICA BASTOS PIMENTEL

Uma banca de QUALIFICAÇÃO de MESTRADO foi cadastrada pelo programa.
STUDENT : JÉSSICA BASTOS PIMENTEL
DATE: 12/12/2019
TIME: 09:00
LOCAL: Sala de aula 7 do Departamento de Nutrição - DNUT/UFRN
TITLE:

Relationship between consumption of processed and ultra-processed foods and dyslipidemia in overweight adolescents

KEY WORDS:

Adolescent, overweight, obesity, risk factors, Dyslipidemia, processed foods, ultra‐processed foods, NOVA.

PAGES: 60
BIG AREA: Ciências da Saúde
AREA: Nutrição
SUMMARY:

The aim of the study was to quantify the consumption of processed and ultra-processed foods and their influence on lipid profile in overweight or obese adolescents. This is a cross-sectional study conducted by non-probabilistic sampling, with adolescents aged 10-19 years, of both sexes, diagnosed with overweight or obesity, first seen at the pediatric outpatient clinic of Onofre Lopes University Hospital/UFRN. Natal, RN. Study approved by CEP/HUOL/UFRN, CAAE No. 56763716.7.0000.5292, conducted from October 2016 to August 2019. Clinical, anthropometric, biochemical and food consumption and dietary intake data were collected. Anthropometric nutritional status was assessed using the Body Mass Index (BMI) for age, using the z-score as the cutoff and overweight and obesity Z-score values ≥ +1 and Z ≥ +2, respectively, following the classification. proposed by the Food and Nutrition Surveillance System (2011). The neck perimeter (NP) uses cutoff points for adolescentes > 32cm and <35cm for females and males, respectively (hingorjo et al, 2012). Waist circumference (WC) was evaluaed with classification proposed by Taylor et al. (2000). For the diagnosis of abdominal obesity, the cutoff values established by hip waist ratio (HWR) > 90 percentile were considered according to the Brazilian obesity guideline (ABESO, 2016) and waist height ratio (WHR) values > 0, 5 according to Carvalho et al., 2015. To measure the conicity index (index C), it was use the cutoff points <1,16 for boys and <1,14 for girls according to Neta et al 2017. The lipid profile was evaluated with the parameters for children and adolescents according to the V Brazilian Guidelines for Dyslipidemias and Prevention of Atherosclerosis (2017), which establishes the following cutoffs for desirable values (fasting): TC <170mg / dL; HDLc > 45 mg / dL; TG <90 mg / dL; LDL-c <110 mg / dL (SBC, 2017), and non-HDL cholesterol <130 mg / dL according to Bonito et al., 2012. Food consumption and dietary intake data were recorded by two 24-hour recorded and analyzed by Virtual Nutri Plus software. Foods consumed by adolescents were classified according to the type of processing according to the “NEW Food Classification based on the extent and purpose of processing” proposed by Monteiro et al (2015). After classification according to the type of processing, the foods were grouped and then the average caloric intake and the average consumption of each group respectively per individual were counted. Data normality was verified by the Kolmogorov-Smirnov test. Student's t-test was used to compare variables between adolescents with normal and high non-HDL cholesterol for data with normal distribution, while the Mann-Whitney U test was used for data without normal distribution. Pearson's chi-square test or Fisher's exact test, when appropriate, were used to compare proportions between groups followed by z-test to identify differences, as well as for bivariate analyzes. In multivariate analysis, the robust variation Poisson regression model was used to calculate the prevalence ratio (PR) and its 95% confidence interval for high non-HDL cholesterol. The model was adjusted by independent variables. The Omnibus test was used to verify model fit (a well-fit model is represented by a P <0.05). The significance level was P <0.05). Statistical statistics were performed on the SPSS version 25.0 statistical package (IBM®, Chicago, IL, USA). The total study sample consisted of 118 adolescents, with a mean age of 11,42 (1,52) years, with the highest percentage of men (n=62; 52,5%). Regarding anthropometric status, an average BMI of 26,48 (3,62) kg/m² was recorded, most participants classified as obesity (n = 66; 55,93%) in both sexes. Waist circumference percentage (n=86; 72,88%), conicity index (n = 108; 91,52%) and waist height ratio (n=116; 98,30%) were identified elevated, regardless of gender. Neck circumference was higher for females (n =32; 57,14%). We found high prevalence of changes in total cholesterol concentrations (n = 28; 50,00%) in females and low HDL-c concentrations in both genders (n = 47; 75,81%) males, (n = 40; 71,43%) female. The means found for the lipid profile of the total sample were TC = 169,52 mg / dL, HDL-c = 39,56 mg / dL, LDL-c = 107,43 mg / dL, TG = 122,73 mg / dL and for non-HDL-c = 130 mg / dL. For the ratios of lipid fractions, TG/HDL = 3,31 and CT/HDL = 4,36 were recorded. For males, the means found were TC = 168,05mg / dL, HDL-c = 39,25 mg / dL, LDL-c = 107,81mg / dL, TG = 122,14 mg / dL, non-HDL-c = 131,61 mg / dL, TG / HDL = 3,31 and for CT / HDL = 4,39. In females, the mean values found were TC = 172.13mg / dL, HDL-c = 39.86 mg / dL, LDL-c = 107.59mg / dL, TG = 125.25 mg / dL, non-HDL- c = 129.20 mg / dL, TG / HDL = 3.34 and for CT / HDL = 4.33. The average calorie intake was 3,228 kcal/day. There was a high caloric intake, with greater contribution in males (3,500.86 kcal). Consumption of ultra-processed foods (UPF) contributed 37,60% of total calories consumed, with 160,91 kcal for females and 124,96 for males and processed foods (FP) contributing 33,59%, 109,55 kcal for females and 150,41 kcal for males. Among processed foods, such as the categories with the highest caloric contributions were fried salted, baked and chilled (29,93%), homemade cakes and desserts (19,78%), french bread (18,96%) and home-made preparations. (16,45%). For ultra-processed foods, such as categories with the highest caloric contributions of bread, cookies and cakes (17,35%), sweets in general (15,03%), pasta (13,88%) and fast food (13,62%). Adolescents with high non-HDL cholesterol had a higher taper index [t (116) = -2.719; P = 0.008], higher waist-to-hip ratio [t (111.823) = -2.146; P = 0.031], and higher triglyceride concentrations [U (117) = 2245.0; P <0.001], total cholesterol [t (115) = -11.363; P <0.001] and non-HDL cholesterol [t (116) = -11.111; P <0.001] compared to adolescents with normal non-HDL cholesterol. There was no statistically significant difference between adolescents with normal and high pubertal non-HDL cholesterol, age, body mass index (BMI) and other anthropometric variables, family income and ultra-processed food intake. In conclusion, there was a high frequency of PF and UPF consumption in overweight/obese adolescents, with a higher percentage in males associated with high frequencies of changes in female TC concentrations and low HDL-c concentrations in both. the sexes. Important associations were found between high non-HDL cholesterol and conicity index, waist-to-hip ratio and high concentrations of triglycerides, total cholesterol, and non-HDL cholesterol.

BANKING MEMBERS:
Interna - 2149611 - CLELIA DE OLIVEIRA LYRA
Interna - 2578592 - KARLA DANIELLY DA SILVA RIBEIRO RODRIGUES
Presidente - 1452705 - SEVERINA CARLA VIEIRA CUNHA LIMA