09/10/2017 - 16:50 - 18:10
Epidemiologia nutricional 1 |
15986 - GENERATIONAL DIFFERENCES IN DIETARY PATTERN AMONG BRAZILIAN ADULTS
ILANA NOGUEIRA BEZERRA - UNIVERSIDADE ESTADUAL DO CEARÁ, NILA MARA SMITH GALVÃO BAHAMONDE - UNIVERSIDADE DO ESTADO DA BAHIA (UNEB), LETÍCIA DE OLIVEIRA CARDOZO - FUNDAÇÃO OSWALDO CRUZ (FIOCRUZ) - ESCOLA NACIONAL DE SAÚDE PÚBLICA, ESTELA M. L. AQUINO - INSTITUTO DE SAÚDE COLETIVA (ISC) – UNIVERSIDADE FEDERAL DA BAHIA (UFBA), MARIA DA CONCEIÇÃO CHAGAS DE ALMEIDA - INSTITUTO DE SAÚDE COLETIVA (ISC) – UNIVERSIDADE FEDERAL DA BAHIA (UFBA), MARIA DEL CARMEN MOLINA - UNIVERSIDADE FEDERAL DO ESPÍRITO SANTO (UFES), DÓRA CHOR - FUNDAÇÃO OSWALDO CRUZ (FIOCRUZ) - ESCOLA NACIONAL DE SAÚDE PÚBLICA, MARIA DE JESUS MENDES DA FONSECA - FUNDAÇÃO OSWALDO CRUZ (FIOCRUZ) - ESCOLA NACIONAL DE SAÚDE PÚBLICA, DIRCE MARIA LOBO MARCHIONI - FACULDADE DE SAÚDE PÚBLICA – UNIVERSIDADE DE SÃO PAULO (USP), SHEILA MARIA ALVIM DE MATOS - INSTITUTO DE SAÚDE COLETIVA (ISC) – UNIVERSIDADE FEDERAL DA BAHIA (UFBA)
Objective: To identify generational differences in the dietary patterns among Brazilian adults born between 1934 and 1975. Methods: This is a cross-sectional study with 15,069 individuals between 35 and 74 years old, from the baseline of the multicenter ELSA-Brasil cohort. Year of birth was categorized into three birth generations: Traditionalists (born between 1934-1945); Baby Boomers (born between 1946-1964); and Generation X (born between 1965-1975). Food consumption was investigated using a Food Frequency Questionnaire. Latent class analysis (LCA) was used to identify data-driven dietary patterns. Individuals were classified into the class with the highest associated probability of class membership and the probabilities were compared across generations. Results: A three-class model was generated from the LCA: Mixed, Processed, and Prudent. Traditionalists and Baby Boomers presented higher frequencies of individuals with the prudent pattern (61.3% vs. 17.8% and 20.9% with mixed and processed patterns, respectively for traditionalists and 42.1% with the prudent pattern; 33.2% with the processed pattern and 24.7% with the mixed pattern for Baby Boomers). Generation X showed higher frequencies of individuals within the processed pattern (45.9%) and lower frequencies of individuals within the prudent pattern (26.1%). Conclusion: Younger generation presented higher frequencies of consuming a pattern characterized by a low nutritional diet, comparing to other generations, indicating that they may age with a greater burden of chronic diseases. It is important to develop public health interventions focusing in the youngest generations and conduct more studies to understand dietary patterns across the life course and prevent diet-related chronic diseases.
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