Attitudes towards healthy eating and its determinants among older adults in a deprived
region of Hungary: implications for the National Healthy Aging Program
Egészségbiztonság Nemzeti Laboratórium(RRF-2.3.1-21-2022-00006) Támogató: NKFIH
(RRF-2.3.1-21-2022-00003)
(TKP2021-NKTA-47)
(BO/00513/23/5))
(BO/00933/22/5)
A healthy diet is a key determinant of successful aging. However, the psychological,
social, and physiological changes associated with ageing often disrupt dietary behaviours.
Hungary has one of the highest rates of chronic age-related diseases in the European
Union, exacerbated by unhealthy dietary patterns and rapid population aging. This
study evaluates attitudes and barriers to healthy eating among older adults in a socioeconomically
disadvantaged region of Hungary, identifying determinants of these attitudes across
different age groups. A cross-sectional survey sampled 678 adults aged 18 and older
from Northeast Hungary, assessing their beliefs on healthy eating through an attitude
score (range: 9-45). Multivariate regression analyses were conducted to explore relationships
between mental health, self-perceived health, and attitudes toward healthy eating.
The mean attitude score was 31.47 (+/- 5.14), with older adults (>= 65 years) showing
significantly greater uncertainty about dietary choices. The cost of healthy food
was the most frequently reported barrier, regardless of age. Regression results revealed
that older adults with higher well-being (B = 0.03, p = 0.026), life satisfaction
(B = 0.40, p = 0.005), and self-perceived health (fair: B = 2.20, p = 0.003; good/very
good: B = 1.96, p = 0.031) were more likely to have positive attitudes toward healthy
eating. These results emphasize the importance of addressing both mental and physical
health in educational interventions to promote healthier diets. Tailored approaches
addressing affordability and accessibility of healthy foods are critical to advancing
Hungary's National Healthy Aging Program and mitigating dietary risk factors among
vulnerable populations.