Abstract
Dietary patterns analyse combinations of foods eaten. This cross-sectional study identified dietary patterns and their nutrients. Associations between dietary patterns and socio-demographic and lifestyle factors were examined in older New Zealand adults. Dietary data (109-item food frequency questionnaire) from the Researching Eating, Activity and Cognitive Health (REACH) study ( = 367, 36% male, mean age = 70 years) were collapsed into 57 food groups. Using principal component analysis, three dietary patterns explained 18% of the variation in diet. Dietary pattern associations with sex, age, employment, living situation, education, deprivation score, physical activity, alcohol, and smoking, along with energy-adjusted nutrient intakes, were investigated using regression analysis. Higher 'Mediterranean' dietary pattern scores were associated with being female, higher physical activity, and higher education ( <0.001, R = 0.07). Higher 'Western' pattern scores were associated with being male, higher alcohol intake, living with others, and secondary education ( <0.001, R = 0.16). Higher 'prudent' pattern scores were associated with higher physical activity and lower alcohol intake ( <0.001, R = 0.15). There were positive associations between beta-carotene equivalents, vitamin E, and folate and 'Mediterranean' dietary pattern scores ( <0.0001, R ≥ 0.26); energy intake and 'Western' scores ( <0.0001, R = 0.43); and fibre and carbohydrate and 'prudent' scores ( <0.0001, R ≥ 0.25). Socio-demographic and lifestyle factors were associated with dietary patterns. Understanding relationships between these characteristics and dietary patterns can assist in health promotion.
| Original language | English |
|---|---|
| Article number | 3425 |
| Number of pages | 17 |
| Journal | Nutrients |
| Volume | 12 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 8 Nov 2020 |
Keywords
- age
- alcohol
- deprivation index
- diet quality
- dietary patterns
- education
- living alone
- nutrient intakes
- older adults
- physical activity
- principal component analysis
- sex differences
- smoking
- socio-demographic factors
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