Differentiation of the Nutritional Risk of Polish Elderly People According to Selected Demographic Characteristics and Declared Socioeconomic Status

Lifestyle Variation among the Elderly: Do Nutritional Knowledge and Diet Quality Differ When the Other Lifestyle Components Are Similar?

Older people's health is strongly determined by their lifestyle, and its deterioration is a cause for concern and calls for effective efforts to slow down the process. The aim of the study was to determine the relationship between diet quality and other non-food lifestyle elements. The data were collected in 2017 through a cross-sectional survey among 271 Polish elder citizens. A K-means cluster analysis was applied to separate homogeneous groups by lifestyle components (without diet) and a logistic regression was used to analyze the relationships between identified clusters and sociodemographic characteristics, nutritional knowledge and diet quality. Three homogenous clusters were identified, i.e., individuals with moderate physical activity and recommended sleep duration (pro-healthy), with low physical activity (low PA), and with short sleep (short sleep). Gender, age, education, place of residence, BMI, and health-promoting diet index (pHDI) did not differentiate adherence to clusters. The probability of being in the pro-healthy cluster increased with nutritional knowledge and declaring the same or better health status compared to peers, while it decreased when above-average financial status was reported. The obtained results importantly extend the previous findings by showing that the individual elements of lifestyle should be also perceived in the context of others. Further research focused on lifestyle as a whole might considerably support the implementation of multifaceted lifestyle interventions.

Dietary-Physical Activity Patterns in the Health Context of Older Polish Adults: The 'ABC of Healthy Eating' Project

The study aimed to analyze the dietary–physical activity patterns (D-PAPs) in the health context of Polish people aged 60+ years. A total of 418 respondents across Poland were recruited; however, the final analysis included 361 women and men aged 60–89 years old. D-PAPs were derived using a principal component analysis (PCA); input variables were the frequency of consumption of 10 food groups and physical activity. Finally, three D-PAPs were identified: ‘Pro-healthy eating and more-active’, ‘Sweets, fried foods and sweetened beverages’, and ‘Juices, fish and sweetened beverages’. We developed the Functional Limitations Score (FLS) using the Mini Nutritional Assessment (MNA^®). A logistic regression was applied to verify the association between the D-PAPs and health-condition outcomes. Older adults were more likely to adhere to the upper tertile of the ‘Pro-healthy eating and more-active’ pattern, with good/better self-reported health status in comparison with their peers (OR = 1.86) or with good/very good self-assessed appetite (OR = 2.56), while this was less likely for older adults with malnutrition risk (OR = 0.37) or with a decrease in food intake (OR = 0.46). Subjects with a decrease in food intake (OR = 0.43), who declared a recent weight loss (OR = 0.49), or older adults in the upper tertile of the FLS (OR = 0.34) were less likely to adhere to the upper tertile of the ‘Sweets, fried foods and sweetened beverages’ pattern. The decrease in food intake due to a loss of appetite or chewing or swallowing difficulties was inversely associated with the ‘Pro-healthy eating and more-active’ pattern characterized by a relatively high frequency of consumption of vegetables, fruit, water, dairy, and grains and a high physical activity. In the interest of the good nutritional status and health of older adults, special attention should be paid to removing limitations in meal consumption, including improved appetite.