ArticlePublic health nutrition2018
Generational differences in dietary pattern among Brazilian adults born between 1934 and 1975: a latent class analysis.
Article in Public health nutrition, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Generational Influence on Diet Quality: An Analysis Based on Vigitel 2023.Journal of human nutrition and dietetics : the official journal of the British Dietetic Association · 2026Article
- Temporal patterns of total, animal and plant protein intakes of Australian adults: a latent class analysis.European journal of nutrition · 2026Article
- [Generational differences in food consumption among Brazilian adults born between 1928 and 1988].Cadernos de saude publica · 2026Article
- Advances in methods for characterizing dietary patterns: A scoping review.medRxiv : the preprint server for health sciences · 2024Article
- The gut microbiome as a modulator of arterial function and age-related arterial dysfunction.American journal of physiology. Heart and circulatory physiology · 2024Review
- Generational Differences in Food Consumption among Chinese Adults of Different Ages.Nutrients · 2023Article
- The association between dietary pattern and visceral adiposity index, triglyceride-glucose index, inflammation, and body composition among Iranian overweight and obese women.Scientific reports · 2023Article
- Are ambulatory blood pressure parameters associated more with central adiposity than with total adiposity? Results of the ELSA-Brasil study.Frontiers in cardiovascular medicine · 2023Article
- An Ultra-Processed Food Dietary Pattern Is Associated with Lower Diet Quality in Portuguese Adults and the Elderly: The UPPER Project.Nutrients · 2021Article
- Dietary Diversity in Nepal: A Latent Class Approach.Food and nutrition bulletin · 2021Article
- Identification of Salty Dietary Patterns of the Japanese Macroregion.Journal of nutrition and metabolism · 2021Article
- Association of Dietary Patterns Derived Using Reduced-Rank Regression With Subclinical Cardiovascular Damage According to Generation and Sex in the STANISLAS Cohort.Journal of the American Heart Association · 2020Article
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Authors and funding
10 authors.
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Abstract
objectiveTo identify generational differences in the dietary patterns of Brazilian adults born between 1934 and 1975.
designA cross-sectional study from the baseline of the multicentre Brazilian Longitudinal Study of Adult Health (ELSA-Brasil) cohort. Year of birth was categorized into three birth generations: Traditionalists (born between 1934 and 1945); Baby Boomers (born between 1946 and 1964); and Generation X (born between 1965 and 1975). Food consumption was investigated using an FFQ. Latent class analysis (LCA) was used to identify data-driven dietary patterns.
settingBrazil. SUBJECTS: Individuals (n 15 069) aged 35-74 years.
resultsA three-class model was generated from the LCA for each birth generation. Generation X presented higher energy intakes (kJ/kcal) from soft drinks (377·4/90·2) and sweets (1262·3/301·7) and lower energy intakes from fruit (1502·5/359·1) and vegetables (311·3/74·4) than Baby Boomers (283·7/67·8, 1047·7/250·4, 1756·0/419·7 and 365·3/87·3, respectively) and Traditionalists (186·2/44·5, 518·8/124·0, 1947·7/465·5 and 404·6/96·7, respectively). For Baby Boomers and Generation X, we found food patterns with similar structures: mixed pattern (22·7 and 29·7 %, respectively), prudent pattern (43·5 and 34·9 %, respectively) and processed pattern (33·8 and 35·4 %, respectively). Among Traditionalists, we could also identify mixed (30·9 %) and prudent (21·8 %) patterns, and a third pattern, named restricted dietary pattern (47·3 %).
conclusionsThe younger generation presented higher frequencies of consuming a pattern characterized by a low nutritional diet, compared with other generations, indicating that they may age with a greater burden of chronic diseases. It is important to develop public health interventions promoting healthy foods, focusing on the youngest generations.
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