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Cohort of Universities of Minas Gerais (CUME)
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Sample details

The CUME study aims to evaluate the impact of Brazilian dietary patterns and nutrition towards predicting the onset of non-communicable diseases (NCDs). Established in 2016, the study initially recruited alumni from two federal higher education institutions, the Federal University of Viçosa (UFV) and the Federal University of Minas Gerais (UFMG), and has since expanded to include alumni from seven institutions across the state of Minas Gerais, Brazil. Among 4,291 participants at baseline, 67.9% were females and 32.1% were males, with 88.7% of participants in the Southeast region, followed by 4.4% in the Midwest, 3.9% in the Northeast, 1.6% in the North, and 1.5% in the South. Follow-up of participants occurs approximately every two years, with follow-up waves conducted in 2018 and 2020.

Study design
Cohort - open

Number of participants at first data collection

4,291 (participants)

Recruitment is ongoing

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

University students and alumni
Dataset details

Country

Brazil

Year of first data collection

2016

Primary Institutions

Federal University of Minas Gerais (Universidade Federal de Minas Gerais) (UFMG)

Federal University of Viçosa (Universidad Federal de Viçosa) (UFV)

Links

projetocume.com.br/

Profile paper DOI

doi.org/10.1093/ije/dyy152

Funders

Foundation for Research Support of the State of Minas Gerais (Fundação de Amparo à Pesquisa do Estado de Minas Gerais; FAPEMIG)

Ongoing?
Yes

Data types collected

mentalHealthData
Quantitative data collection
  • Activity log (e.g. food, sleep, exercise)
  • Interview – face-to-face
  • Self-completed questionnaire – online
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • Community engagement
  • Keywords

    Chronic illness
    Diet and nutrition
    Disease prevention
    Food intake
    Lifestyle factors
    Noncommunicable diseases
    Physical activity and exercise
    Physical health
    Predictors
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