A revised Australian dietary guideline index and its association with key sociodemographic factors, health behaviors and body mass index in peri-retirement aged adults

The Dietary Guideline Index, a measure of diet quality, was updated to reflect the 2013 Australian Dietary Guidelines. This paper describes the revision of the index (DGI-2013) and examines its use in older adults. The DGI-2013 consists of 13 components reflecting food-based daily intake recommendations of the Australian Dietary Guidelines. In this cross-sectional study, the DGI-2013 score was calculated using dietary data collected via an 111-item food frequency questionnaire and additional food-related behaviour questions. The DGI-2013 score was examined in Australian adults (aged 55-65 years; n = 1667 men; 1801 women) according to sociodemographics, health-related behaviours and BMI. Women scored higher than men on the total DGI-2013 and all components except for dairy. Those who were from a rural area (men only), working full-time (men only), with lower education, smoked, did not meet physical activity guidelines, and who had a higher BMI, scored lower on the DGI-2013, highlighting a group of older adults at risk of poor health. The DGI-2013 is a tool for assessing compliance with the Australian Dietary Guidelines. We demonstrated associations between diet quality and a range of participant characteristics, consistent with previous literature. This suggests that the DGI-2013 continues to demonstrate convergent validity, consistent with the original Dietary Guideline Index.

Meal frequency but not snack frequency is associated with micronutrient intakes and overall diet quality in Australian men and women.

BACKGROUND: Skipping breakfast is associated with poorer diet quality among adults, but evidence of associations for other eating patterns [e.g., eating occasion (EO), meal, or snack frequency] is equivocal. An understanding of how eating patterns are associated with diet quality is needed to inform population-level dietary recommendations. OBJECTIVE: We aimed in this cross-sectional study to determine the relation between frequency of meals, snacks, and all EOs with nutrient intakes and diet quality in a representative sample of Australian adults. METHODS: Dietary data for 5242 adults aged ≥19 y collected via two 24-h recalls during the 2011-2012 National Nutrition and Physical Activity Survey were analyzed. EO, meal, and snack frequency was calculated. Adherence to recommendations for healthy eating was assessed with the use of the 2013 Dietary Guidelines Index (DGI) and its subcomponents. Linear regression, adjusted for covariates and energy misreporting, was used to examine associations between eating patterns, energy-adjusted nutrient intakes, and the DGI-2013. RESULTS: The frequency of meals, but not of snacks, was positively associated with micronutrient intakes, overall diet quality [men: β = 5.6 (95% CI: 3.9, 7.3); women: β = 4.1 (95% CI: 2.2, 5.9); P < 0.001], and DGI-2013 component scores for cereals, lean meat and alternatives, and alcohol intake (P < 0.05). A higher frequency of all EOs, meals, and snacks was positively associated with DGI-2013 scores for food variety, fruits, and dairy foods (P < 0.05). Conversely, a higher snack frequency was associated with a lower compliance with guidelines for discretionary foods and added sugars among men (P < 0.05). CONCLUSIONS: These findings suggest that meal frequency is an important determinant of nutrient intakes and diet quality in Australian adults. Inconsistent associations for snack frequency suggest that the quality of snack choices is variable. More research examining the dietary profiles of eating patterns and their relations with diet quality is needed to inform the development of meal-based guidelines and messages that encourage healthy eating.

Low lean tissue mass and physical performance as markers of sarcopenia in older men and women

Background: While declines in muscle mass and function occur in all individuals with advancing age, the extent and rate of decline vary in the general population. We aimed to determine the prevalence of low lean tissue mass combined with poor physical function as an indicator of sarcopenia among older men and women residing in southeastern Australia.

Methods: The study involved men and women aged 60+ years from the Geelong Osteoporosis Study (GOS). Skeletal muscle mass was measured as total lean tissue mass by dual energy x-ray absorptiometry (DXA) and expressed as a percentage of body weight to generate the skeletal mass index (SMI); low lean mass was defined as SMI T-score <-1. Low muscle function was based on performance using “timed up-and-go” scores >10s. Physical activity scores were determined using a validated questionnaire for the elderly and falls were self-reported for the previous year. Associations between sarcopenia, physical activity and falls were determined using multivariable regression techniques.

Results: Among 624 men, 233 had low SMI, 169 had low muscle performance and 81 had both, thus meeting criteria for sarcopenia. Among 436 women, 143 had low SMI, 179 had low muscle performance and 70 had both. A general age-related increase in the observed prevalence of sarcopenia appeared to be driven by an age-related increase in low performance. Sarcopenia was associated with lower physical activity scores. No association was detected between sarcopenia and falls for men but an association was observed for women (age-adjusted OR 1.87, 95% CI 1.11, 3.14).

Conclusion: In our population, the prevalence of sarcopenia was 10.6% (95% CI 7.7, 13.4) for men and 14.5% (95% CI 10.8, 18.3) for women. Men and women with sarcopenia were habitually less active and, for women, sarcopenia was associated with increased likelihood of falls.

Diet quality and telomere length in older Australian men and women.

PURPOSE: Telomere length is a biomarker of cellular ageing, with longer telomeres associated with longevity and reduced risk of chronic disease in older age. Consumption of a healthy diet may contribute to longevity via its impact on cellular ageing, but studies on diet and telomere length to date have been limited and their findings equivocal. The aim of this study was to examine associations between three indices of diet quality and telomere length in older men and women. METHODS: Adults aged 57-68 years participating in the Wellbeing, Eating and Exercise for a Long Life (WELL) study in Victoria, Australia (n = 679), completed a postal survey including an 111-item food frequency questionnaire in 2012. Diet quality was assessed via three indices: the Dietary Guideline Index, the Recommended Food Score, and the Mediterranean Diet Score. Relative telomere length was measured by quantitative polymerase chain reaction. Associations between diet quality and telomere length were assessed using linear regression adjusted for covariates. RESULTS: After adjustment for age, sex, education, smoking, physical activity, and body mass index (BMI), there were no significant associations between diet quality and relative telomere length. CONCLUSIONS: In a sample of older adults residing in Victoria, Australia, men and women aged 57-68 years with better-quality diets did not have longer telomeres. Further investigation in longitudinal studies will determine whether diet can influence telomere length over time in an ageing population.