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Adherence to dietary recommendations by socioeconomic status in the United Kingdom biobank cohort study.
Carrasco-Marín, Fernanda; Parra-Soto, Solange; Bonpoor, Jirapitcha; Phillips, Nathan; Talebi, Atefeh; Petermann-Rocha, Fanny; Pell, Jill; Ho, Frederick; Martínez-Maturana, Nicolás; Celis-Morales, Carlos; Molina-Luque, Rafael; Molina-Recio, Guillermo.
Affiliation
  • Carrasco-Marín F; Departamento de Enfermería, Farmacología y Fisioterapia, Facultad de Medicina y Enfermería, Universidad de Córdoba, Córdoba, Spain.
  • Parra-Soto S; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
  • Bonpoor J; Centro de Vida Saludable, Universidad de Concepción, Concepción, Chile.
  • Phillips N; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
  • Talebi A; Department of Nutrition and Public Health, Universidad del Bío-Bío, Chillán, Chile.
  • Petermann-Rocha F; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
  • Pell J; Faculty of Public Health, Chalermphrakiat Sakon Nakhon Province Campus, Kasetsart University, Sakon Nakhon, Thailand.
  • Ho F; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
  • Martínez-Maturana N; School of Cardiovascular and Metabolic Health, University of Glasgow, Glasgow, United Kingdom.
  • Celis-Morales C; Centro de Investigación Biomédica, Facultad de Medicina, Universidad Diego Portales, Santiago, Chile.
  • Molina-Luque R; School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
  • Molina-Recio G; School of Health and Wellbeing, University of Glasgow, Glasgow, United Kingdom.
Front Nutr ; 11: 1349538, 2024.
Article in En | MEDLINE | ID: mdl-38751735
ABSTRACT

Introduction:

Understanding how socioeconomic markers interact could inform future policies aimed at increasing adherence to a healthy diet.

Methods:

This cross-sectional study included 437,860 participants from the UK Biobank. Dietary intake was self-reported. Were used as measures socioeconomic education level, income and Townsend deprivation index. A healthy diet score was defined using current dietary recommendations for nine food items and one point was assigned for meeting the recommendation for each. Good adherence to a healthy diet was defined as the top 75th percentile, while poor adherence was defined as the lowest 25th percentile. Poisson regression was used to investigate adherence to dietary recommendations.

Results:

There were significant trends whereby diet scores tended to be less healthy as deprivation markers increased. The diet score trends were greater for education compared to area deprivation and income. Compared to participants with the highest level of education, those with the lowest education were found to be 48% less likely to adhere to a healthy diet (95% Confidence Interval [CI] 0.60-0.64). Additionally, participants with the lowest income level were 33% less likely to maintain a healthy diet (95% CI 0.73-0.81), and those in the most deprived areas were 13% less likely (95% CI 0.84-0.91). Discussion/conclussion Among the three measured proxies of socioeconomic status - education, income, and area deprivation - low education emerged as the strongest factor associated with lower adherence to a healthy diet.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Nutr Year: 2024 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Nutr Year: 2024 Document type: Article Affiliation country: Country of publication: