Suboptimal dietary intake leads to many chronic diseases and results in increased mortality and morbidity(1,2). The 2024 Scottish Health Survey indicates suboptimal dietary intake, with low fruit and vegetable consumption and higher energy, sugar, fat, and red meat intake. Disparities in food intake and nutrition status have been shown across urban and rural areas and socioeconomic strata(3,4). The current study aimed to assess factors associated with food intake using data from the Scottish Health Survey for 2018-2021.
Meeting the Eat-Well guide recommendations(5) for food groups (fruit and vegetables, fish, meat, milk, carbohydrate, sugary snacks/drinks, chips and crisps) was assessed against income quintiles, Scottish Index of Multiple Deprivation (SIMD) quintile, presence of food insecurity and rural or urban living, while controlling for age and sex. Univariate analyses were conducted using the chi-square test and the Mann-Whitney U test, and multivariate analysis was performed using binary logistic regression.
A total of 16187 participants were included in the study. The majority were females (53.4%) and urban residents (80.2%), resembling the Scottish population structure. Living in a rural area was associated with the recommended meat intake (OR = 1.43, p-value = 0.003) and skimmed/ semi-skimmed milk intake (OR = 0.81, p-value = 0.05). The lower SIMD quintiles were associated with the recommended amount of fruit and vegetables (OR = 1.54, p-value < 0.001), fish (OR = 1.34, p-value = 0.04) and meat intake (OR = 0.69, p-value = 0.02), and having lesser amounts of chips (OR = 2.28, p-value < 0.001) and crisps (OR = 1.59, p-value = 0.01) intake. Having recommended intake of fruit and vegetables (OR = 0.58, p-value < 0.001), fish (OR = 0.68, p-value = 0.009), sugary snacks/drinks (OR = 0.68, p-value = 0.01), skimmed/ semi-skimmed milk (OR = 0.58, p-value < 0.001), crisps (OR = 0.52, p-value < 0.001) and chips (OR = 0.62, p-value = 0.003) were inversely associated with lower income quintiles compared to top income quintile. Food insecurity was associated with less non-skimmed milk intake (OR = 0.66, p-value = 0.008). All the regression models were well-fitted with the Hosmer-Lemeshow test, and the percentage of correct predictions was more than 60.0%. However, R-squared values remained low, indicating the presence of external influencing factors.
Dietary intake across food groups shows significant and independent variation across socio-economic strata. Strengthening research to explore and interventions to eliminate disparities are highly recommended.