Exercise & Training

Dietary Determinants of Diabetes Prevalence: A Cross-Sectional Study in the Hungarian Population.

TL;DR

In a nationally representative cross-sectional analysis of Hungarian adults, dietary patterns and sociodemographic factors were statistically associated with diabetes prevalence, though observed associations may reflect behavioral changes following diagnosis rather than causal relationships.

Key Findings

Obesity was associated with higher odds of self-reported diabetes in the Hungarian population.

  • OR: 2.70; 95% CI: 1.96–3.72 for obesity compared to non-obesity
  • Data derived from 5603 participants aged ≥15 years from the 2019 European Health Interview Survey (EHIS)
  • Survey-weighted logistic regression models were used, adjusting for age, sex, BMI, education, income, employment, and physical activity

Lower educational attainment was associated with higher odds of self-reported diabetes.

  • OR: 0.73 (95% CI: 0.55–0.99) for high school education versus less than high school education
  • This indicates that individuals with less than high school education had higher odds of diabetes compared to those with at least high school education
  • Adjustment was made for age, sex, BMI, income, employment, and physical activity

Unemployment was associated with higher odds of self-reported diabetes compared to employment.

  • OR: 0.66 (95% CI: 0.46–0.95) for employed versus unemployed individuals
  • This indicates that unemployed individuals had higher odds of diabetes relative to employed individuals
  • Models were survey-weighted and adjusted for multiple sociodemographic and lifestyle covariates

Regular physical activity was associated with lower odds of self-reported diabetes.

  • OR: 0.59; 95% CI: 0.43–0.81 for participants reporting regular physical activity
  • Physical activity was included as a covariate in the survey-weighted logistic regression models
  • Data were drawn from the 2019 EHIS with n=5603 participants aged ≥15 years

Less frequent processed meat consumption was associated with lower odds of self-reported diabetes.

  • OR: 0.53; 95% CI: 0.37–0.76 for less frequent processed meat consumption
  • Dietary variables were energy-adjusted using the residual method
  • This was one of the key dietary variables assessed in the survey-weighted logistic regression models

Moderate dessert consumption was inversely associated with odds of self-reported diabetes.

  • An inverse association was observed for moderate dessert consumption, though specific OR and CI values were not reported in the abstract
  • Dietary variables were energy-adjusted using the residual method prior to analysis
  • The authors note this association may reflect dietary changes made after a diabetes diagnosis rather than a causal relationship

Adherence to special diets was strongly and positively associated with self-reported diabetes prevalence.

  • OR: 9.24; 95% CI: 7.09–12.06 for adherence to special diets
  • This was the strongest association observed among all dietary variables examined
  • The authors caution this likely reflects dietary changes made following a diabetes diagnosis rather than a causal relationship

Dietitian consultation was strongly and positively associated with self-reported diabetes prevalence.

  • OR: 6.30; 95% CI: 4.13–9.61 for dietitian consultation
  • This association likely reflects post-diagnosis behavioral changes, as individuals with diabetes are more likely to seek dietary counseling
  • The authors explicitly note that observed associations may reflect behavioral changes following diagnosis rather than causal relationships

The study analyzed a nationally representative Hungarian sample of 5603 participants using cross-sectional survey data.

  • Data were drawn from the 2019 European Health Interview Survey (EHIS)
  • Participants were aged ≥15 years
  • Survey-weighted logistic regression models were used to assess associations between dietary variables and self-reported diabetes
  • Dietary variables were energy-adjusted using the residual method
  • Covariates included age, sex, BMI, education, income, employment, and physical activity

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Citation

Hajzer Z, Petróczki F, Faludi E, Oláh C, Prokisch J, Ghanem A. (2026). Dietary Determinants of Diabetes Prevalence: A Cross-Sectional Study in the Hungarian Population.. Nutrients. https://doi.org/10.3390/nu18050731