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

Associations of Lifestyle Patterns with Glucose and Lipid Metabolism in Finnish Adults at Increased Risk of Type 2 Diabetes

SCOPE

Various lifestyle and sociodemographic factors have been associated with risk factors for type 2 diabetes (T2D). However, their combined associations with T2D risk factors have been studied much less.

MATERIALS AND RESULTS

This study investigates cross-sectional associations of lifestyle patterns with T2D risk factors among 2925 adults at increased risk participating in the Stop Diabetes study. Lifestyle patterns are determined using principal component analysis (PCA) with several lifestyle and sociodemographic factors. The associations of lifestyle patterns with measures of glucose and lipid metabolism and serum metabolites analyzed by nuclear magnetic resonance (NMR) spectroscopy are studied using linear regression analysis. "Healthy eating" pattern is associated with better glucose and insulin metabolism, more favorable lipoprotein and fatty acid profiles and lower serum concentrations of metabolites related to inflammation, insulin resistance, and T2D. "High socioeconomic status and low physical activity" pattern is associated with increased serum concentrations of branched-chain amino acids, as are "Meat and poultry" and "Sleeping hours" patterns. "Snacks" pattern is associated with lower serum concentrations of ketone bodies.

CONCLUSIONS

Our results show, in large scale primary care setting, that healthy eating is associated with better glucose and lipid metabolism and reveal novel associations of lifestyle patterns with metabolites related to glucose metabolism.

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.

Development of the ward nurses' discharge-oriented dietary support scale for older adult patients in Japan

AIM

This study aimed to develop a ward nurses' dietary support scale, including physical, psychological, and social background factors in preparation for older adult patients' life after discharge.

METHODS

We conducted a cross-sectional study using a self-reported questionnaire. Scale items were created based on a conceptual analysis, and refined by a Delphi survey. In total, 696 nurses across 16 acute care hospitals in Japan were eligible to participate. The questionnaire comprised 51 items that used a five-point Likert-type scale. These items were evaluated using exploratory factor analysis. Reliability was evaluated using Cronbach's alpha and intraclass correlation coefficients (ICC). Pearson's correlation coefficients were calculated to determine concurrent validity, and construct validity was analyzed using confirmatory factor analysis.

RESULTS

Altogether, 241 surveys were included in the data analysis; 236 nurses participated in both the test and the retest. The exploratory factor analysis identified 20 items from three factors as follows: "Assessment for healthy eating behavior," "Adjustment of the living environment, including family and caregiver, together with other professions," and "Continual frailty assessment." In the confirmatory factor analysis, the fitness indices supported these results. Cronbach's alpha was 0.932 and ICC was 0.867 for the overall scale. In the concurrent validity, the three factors had a moderate correlation (r = 0.295-0.537, P < .01 and r = 0.254-0.648, P < .01), except for one subscale.

CONCLUSIONS

We developed a ward nurses' dietary support scale, including physical, psychological, and social background factors in preparation for older adult patients' life after discharge. Its reliability and validity were confirmed.