Full text
| |
| Author(s): |
Milena Monfort Pires
Total Authors: 1
|
| Document type: | Master's Dissertation |
| Press: | São Paulo. |
| Institution: | Universidade de São Paulo (USP). Faculdade de Saúde Pública (FSP/CIR) |
| Defense date: | 2011-08-26 |
| Examining board members: |
Sandra Roberta Gouvea Ferreira Vivolo;
Dirce Maria Lobo Marchioni;
Sandra Marcela Mahecha Matsudo
|
| Advisor: | Sandra Roberta Gouvea Ferreira Vivolo |
| Abstract | |
Background: Low physical activity (PA) level and high energy intake contributed to nutrition transition in Brazil. A healthy lifestyle reverts in cardiometabolic benefits. Considering that subclinical inflammatory status mediates damages to the cardiovascular system, healthy life habits may improve risk factors via attenuation of inflammation. Standardized tools to measure quality of diet and PA are available but not local studies assessing the relationship of these factors based on those tools, or examining their associations with inflammatory status and lipid profile. Objectives: This study evaluated the association between the Brazilian version of the Healthy Eating Index (B-HEI) and total, leisure and transportation PA level, and between those with inflammatory markers, insulin resistance index and lipids in individuals at high cardiometabolic risk. Methods: In this cross-sectional analysis, 204 participants (64.7 per cent women; mean age of 54.1 years) of the Study on Prevention of Diabetes from the FSP-USP School Health Center, with prediabetes or metabolic syndrome without diabetes were included. They were submitted to questionnaires and blood sample collections. 24-h food recalls were used to assess the B-HEI and PA was measured by the long version of the IPAQ. Spearman coefficient was employed to test correlations and ANOVA to analyze the association between the B-HEI and PA, and between the tertiles of these variables with inflammatory markers and HOMA-IR. Multiple linear regression was used to test independent associations of B-HEI, taking lipids, inflammatory markers and HOMA-IR as dependent variables. Logistic regression was used to test independent associations of PA with the same variables, and odds ratios (OR) and p for trend were obtained. Results: Across the B-HEI tertiles PA did not differ. However, as the quality of diet improves TV time decreases (21.4±11.6, 20.5±11.5, 16.8±10.4 h/week p=0.09). In linear regression analysis, abdominal circumference was inversely associated with BHEI, maintaining borderline significance after adjustment for age and sex. Creactive protein was shown to be inversely associated with the index (p=0.02). Adiponectin concentrations had borderline significance with B-HEI in crude analysis but not after adjustments (p=0.06). Stratifying according to the duration of transportation, leisure-time and total PA, the most active subset (150 min/week) showed lower anthropometric measurements, but only for leisure PA the tendency to decreasing values was significant. Lipid profile improved as PA levels increased. Interleukin-6 concentrations decreased as total and leisure PA increased (p for trend = 0.02 and 0.03, respectively), while adiponectin tended to increase in more active subsets only for PA at leisure time (p for trend = 0.03). Tendency for hypercholesterolemia increased significantly as leisure PA duration decreased. High Apo B/Apo A ratio was inversely associated with transportation, leisure and total PA. Significant increase in adjusted OR for insulin resistance from the category of highest to the lowest leisure PA was found (p for trend = 0.04) but statistical significance disappeared when adjusted for BMI. For increased C-reactive protein concentration, no significant association with any PA domain was observed. Conclusion: Our data do not support the hypothesis that good diet quality and PA practice were associated. The expected association of more favorable cardiometabolic profile with PA practice but not with better quality of diet was reinforced (AU) | |
| FAPESP's process: | 09/03925-0 - Analysis of relationship between the health eating index, physical activity level, lipid profile and inflammatory markers in individuals with cardiometabolic risk |
| Grantee: | Milena Monfort Pires |
| Support Opportunities: | Scholarships in Brazil - Master |