Development of a matching file of Australian food composition databases (AUSNUT 2007 to 2011–13)

Empirically derived dietary patterns are associated with major adverse cardiovascular events, all-cause mortality, and congestive cardiac failure in older men: The Concord Health and Ageing in Men Project

BACKGROUND

Diet is associated with major adverse cardiovascular events (MACE).

OBJECTIVE

We evaluated the associations between empirically derived dietary patterns and MACE.

DESIGN

Prospective cohort study.

SETTING

The Concord Health and Ageing in Men Project, Sydney, Australia.

PARTICIPANTS

539 community-dwelling older Australian men aged 75 years and older.

METHODS

Men underwent dietary assessment using a validated dietitian-administered diet history questionnaire. Cox regression analyses were conducted between MACE and the three dietary patterns identified from factor analysis. Five-point MACE comprised of all-cause mortality, myocardial infarction (MI), congestive cardiac failure (CCF), coronary revascularisation, and/or ischaemic stroke. Four-point MACE included the four endpoints of MI, CCF, coronary revascularisation, and/or ischaemic stroke, and excluded all-cause mortality.

RESULTS

At a median of 5.3 (IQR 4.6-6.3) years of follow-up, the incidences were: five-point MACE 31.2% (n = 168); four-point MACE excluding all-cause mortality 17.8% (n = 96); all-cause mortality 20.1% (n = 111); CCF 11.3% (n = 61); MI 3.7% (n = 20); stroke 3.2% (n = 17); and coronary revascularisation 3.1% (n = 15). In fully adjusted analyses, compared to the bottom tertile, the middle tertile of 'vegetables-legumes-seafood' dietary pattern was associated with reduced five-point MACE (HR 0.67 [95% CI: 0.45, 0.99, P = .047]), and CCF (HR 0.31 [95% CI: 0.15, 0.65, P = .002]), whilst the middle tertile of 'wholegrains-milk-other fruits' dietary pattern was associated with increased five-point MACE (HR 1.78 [95% CI: 1.17, 2.70, P = .007]), four-point MACE (HR 1.92 [95% CI: 1.12, 3.30, P = .018]), and CCF (HR 2.33 [95% CI: 1.17, 4.65, P = .016]). For the 'discretionary-starchy vegetables-processed meats' dietary pattern, a higher score was associated with increased five-point MACE (HR 1.33 [95% CI: 1.09, 1.62, P = .004]), and all-cause mortality (HR 1.63 [95% CI: 1.26, 2.12, P < .001]), and compared to the bottom tertile, the top tertile was associated with increased all-cause mortality (HR 2.26 [95% CI: 1.27, 4.00, P = .005]).

CONCLUSION

Older men may benefit from consuming a 'vegetables-legumes-seafood' dietary pattern rather than 'discretionary-starchy vegetables-processed meats' and 'wholegrains-milk-other fruits' dietary patterns for the prevention of MACE.

Cross-sectional and longitudinal associations between empirically derived dietary patterns and frailty among older men: The Concord Health and Ageing in Men Project

BACKGROUND

Diet may be associated with frailty.

OBJECTIVE

We aimed to evaluate the associations between empirically derived dietary patterns and frailty in older men.

DESIGN

Prospective cohort study.

SETTING

The Concord Health and Ageing in Men Project, Sydney, Australia.

PARTICIPANTS

785 community-dwelling older Australian men aged 75 years and older.

METHODS

Men underwent dietary assessment using a validated dietitian-administered diet history questionnaire. Factor analysis identified three dietary patterns. Multinomial logistic regression was conducted between frailty and dietary patterns for cross-sectional analyses and longitudinal analyses over a 3-year follow-up. Frailty was defined by the Fried frailty phenotype.

RESULTS

Of the 785 men, pre-frailty was prevalent in 47.1% (n = 370), and frailty in 8.3% (n = 65). In fully adjusted cross-sectional analyses, the top tertile and a higher 'vegetables-legumes-seafood' dietary pattern score were associated with reduced prevalence of frailty (OR 0.34 [95% CI: 0.12, 0.93, P = .036]) and OR 0.50 [95% CI: 0.30, 0.83, P = .007] respectively). The top tertile of the 'discretionary-starchy vegetables-processed meats' dietary pattern was also associated cross-sectionally with increased prevalence of pre-frailty (OR 1.75 [95% CI: 1.08, 2.83, P = .022]). Of the 296 robust men in fully adjusted longitudinal analyses, the incidence of pre-frailty was 52.4% (n = 155), and frailty was 5.4% (n = 16) over a 3-year follow-up. The middle tertile of the 'vegetables-legumes-seafood' dietary pattern had a non-significant trend towards reduced incident pre-frailty (OR 0.52 [95% CI: 0.27, 1.00, P = .050]).

CONCLUSION

Consumption of a 'vegetables-legumes-seafood' dietary pattern appears to be less favoured by frail older men.

Evaluation of a Food Frequency Questionnaire for Capturing Free Sugars Intake in Australian Young Children: The InFANT FFQ

Excess free sugars intake contributes to dental caries and obesity in children. Food frequency questionnaires (FFQ) that assess free sugars intake in young children are limited. This study evaluated the utility of a 68-item FFQ to assess free sugars intake in Australian young children against three 24-h recalls at ages 1.5, 3.5, and 5.0 years. Free sugars intakes estimated from two methods were compared using group- and individual-level validation tests. Group-level tests revealed that mean free sugars intakes estimated from two methods were similar and Bland-Altman tests revealed no presence of proportional bias at age 1.5 years. For ages 3.5 and 5.0 years, the FFQ underestimated the free sugars intake compared to the recalls, and Bland-Altman tests revealed proportional bias. For individual-level tests, the deattenuated correlation (R) between free sugars intakes estimated from two methods exhibited good agreement across three time-points (R: 0.54-0.62), as were the percentage agreement (68.5-73.6%) and weighted kappa (Kw: 0.26-0.39). The FFQ showed good validity at age 1.5 years. For ages 3.5 and 5.0 years, the FFQ showed good validity for individual-level tests only. The FFQ provided stronger validity in the ranking of individuals according to free sugars intake than comparing absolute free sugars intake at group level.

Trends in food sources of added sugar in Australian eating patterns between 1995 and 2012 using national consumption survey data

BACKGROUND

When aiming to develop dietary messaging to achieve reductions in added sugar intakes, it is necessary to identify key food contributors. Food contributors are not expected to remain static over time. Therefore, the present study aimed to compare the total added sugars (AS) intake and related food sources for adult respondents of two Australian national consumption surveys.

METHODS

Repeated 24-h recall data from the 1995 National Nutrition Survey (1995NNS, n = 10 851) and the 2011-12 National Nutrition and Physical Activity Survey (2012NNPAS, n = 9341) was used to estimate AS consumption. Food group sources of AS were examined per consumer and per capita and the food group predictors of energy provided by AS were determined.

RESULTS

A significant difference in total AS intake was identified by age and gender between the surveys (all P < 0.001). Increased variability in food group contributions per consumer was also identified. Nine of the top 20 food groups from the 1995NNS differed (P < 0.001) in their contribution to AS in 2012NNPAS per consumer. Fewer changes were apparent at the population level, with >40% AS coming from only three food groups. Age-stratified analyses showed that the 'sugar, honeys and syrups' and the 'sweetened beverages' food groups were the top contributors between the surveys up to the age group of 70 years. 'Sugar, honey and syrups', 'chocolate and chocolate-based confectionery,' and 'other confectionery' (all, P < 0.001) were significant predictors of AS intake (1995NNS, r²  = 0.755; 2012NNPAS r²  = 0.740).

CONCLUSIONS

At a population level, food group contributions to AS intakes for Australian adults have not changed substantially over time, yet notable shifts in AS can be seen when targeting only the consumers of these food sources. 'Cake type desserts' appear to be increasingly consumed though 'sweetened beverages' remain a major contributor to AS intakes warranting targeted public health strategies.

Identifying Usual Food Choice Combinations With Walnuts: Analysis of a 2005-2015 Clinical Trial Cohort of Overweight and Obese Adults

Consumption of nuts has been associated with a range of favorable health outcomes. Evidence is now emerging to suggest that walnuts may also play an important role in supporting the consumption of a healthy dietary pattern. However, limited studies have explored how walnuts are eaten at different meal occasions. The aim of this study was to explore the food choices in relation to walnuts at meal occasions as reported by a sample of overweight and obese adult participants of weight loss clinical trials. Baseline usual food intake data were retrospectively pooled from four food-based clinical trials (n = 758). A nut-specific food composition database was applied to determine walnut consumption within the food intake data. The a priori algorithm of association rules was used to identify food choices associated with walnuts at different meal occasions using a nested hierarchical food group classification system. The proportion of participants who were consuming walnuts was 14.5% (n = 110). The median walnut intake was 5.14 (interquartile range, 1.10–11.45) g/d. A total of 128 food items containing walnuts were identified for walnut consumers. The proportion of participants who reported consuming unsalted raw walnut was 80.5% (n = 103). There were no identified patterns to food choices in relation to walnut at the breakfast, lunch, or dinner meal occasions. A total of 24 clusters of food choices related to walnuts were identified at others (meals). By applying a novel food composition database, the present study was able to map the precise combinations of foods associated with walnuts intakes at mealtimes using data mining. This study offers insights into the role of walnuts for the food choices of overweight adults and may support guidance and dietary behavior change strategies.

Exploring dietary changes in an interdisciplinary intervention trial: Application of a dietary guidelines food composition database

BACKGROUND

Consumption of food groups aligning with dietary guidelines is advised for obesity management and was used in a recent lifestyle intervention trial, the Health Track study. We have conducted a number of dietary pattern analyses on this trial but, with recent access to the new Australian Dietary Guidelines (ADG) food composition database, we can now assess ADG adherence, with the advantage of categorising mixed dishes. The present study aimed to compare changes over time in consumption of ADG food groups.

METHODS

Secondary analysis of baseline and three-month diet history data was conducted. Participants received individualised dietary advice (I), individualised dietary advice plus 30 g of walnuts per day (IW) or usual care (C). The ADG database was used to determine food group servings with changes in five food groups used as a measure of dietary quality.

RESULTS

Fruit and vegetable intakes increased in the IW (+0.4 and +1.1 serves, P < 0.05) and I (+0.5 and +0.4 serves, P > 0.05) arms. Consumption of meat/protein foods increased in the IW arm (+0.3 serves, P > 0.05) but decreased in the I and C arms (both - 0.4 serves, P < 0.05). Consumption of grains and milk/alternatives decreased in all study arms (P < 0.05). Greater improvements in grain and dairy food quality were observed in the intervention arms.

CONCLUSIONS

The ADG database enabled ADG specific food group analysis, addressed food quality and showed the HealthTrack intervention increased adherence to dietary guidelines compared to usual care.

Dietary Patterns and Cardiovascular Disease: Insights and Challenges for Considering Food Groups and Nutrient Sources

PURPOSE OF REVIEW

The relationship between dietary patterns and cardiovascular disease has been the subject of much research, but an important methodological consideration is the interdependence between the nutrient composition of foods and the recognition of healthy dietary patterns. This review considers some of the challenges in researching dietary patterns with implications for translation to public health promotions.

RECENT FINDINGS

A number of statistical methods have emerged for analysing dietary patterns using population dietary data. There are limitations in the assumptions underpinning food categorisation, but this research is able to consistently identify foods and dietary patterns that are positively related to health. Aligned to this activity is the ongoing development of food composition databases which has its own limitations such as keeping up to date with changing foods and newly identified components, sampling of foods, and developments in chemical analytical methods. Finally, dietary patterns form the basis for current dietary guidelines and related public health-oriented programs, but the issues raised for research (e.g. food categorisation and cuisine influences on dietary patterns) can also translate to these settings. The study of dietary patterns in cardiovascular disease prevention presents with a number of methodological challenges relating to the way food groups are formed and the limitations of food composition databases. Added to this are new considerations for the environmental impact of recommended dietary patterns. Future research across the entire knowledge chain should target more accurate methods in a number of analytical areas.

Identifying usual food choices at meals in overweight and obese study volunteers: implications for dietary advice

Understanding food choices made for meals in overweight and obese individuals may aid strategies for weight loss tailored to their eating habits. However, limited studies have explored food choices at meal occasions. The aim of this study was to identify the usual food choices for meals of overweight and obese volunteers for a weight-loss trial. A cross-sectional analysis was performed using screening diet history data from a 12-month weight-loss trial (the HealthTrack study). A descriptive data mining tool, the Apriori algorithm of association rules, was applied to identify food choices at meal occasions using a nested hierarchical food group classification system. Overall, 432 breakfasts, 428 lunches, 432 dinners and 433 others (meals) were identified from the intake data (n 433 participants). A total of 142 items of closely related food clusters were identified at three food group levels. At the first sub-food group level, bread emerged as central to food combinations at lunch, but unprocessed meat appeared for this at dinner. The dinner meal was characterised by more varieties of vegetables and of foods in general. The definitions of food groups played a pivotal role in identifying food choice patterns at main meals. Given the large number of foods available, having an understanding of eating patterns in which key foods drive overall meal content can help translate and develop novel dietary strategies for weight loss at the individual level.

Effect of individualised dietary advice for weight loss supplemented with walnuts on blood pressure: the HealthTrack study

BACKGROUND/OBJECTIVES

In addition to weight-loss, healthy dietary patterns and lower sodium intakes can help reduce blood pressure (BP), but individualised dietary advice may be necessary to achieve these effects. This study aimed to examine the impact of individualised dietary advice on BP in the intensive phase of a weight-loss trial.

SUBJECTS/METHODS

Secondary analysis of baseline and 3-month data from the HealthTrack randomised controlled trial (n = 211). Participants were randomly assigned to one of three dietary advice groups: general advice (control), individualised advice (intervention group, I), or intervention group supplemented with 30 g walnuts/day (IW). Resting BP and 24-h urine sodium and potassium were measured. Dietary intake was evaluated through diet history interviews.

RESULTS

Unadjusted SBP reduced significantly in all groups (IW and I groups P < 0.001; control group P = 0.002) and DBP in IW and I groups (P < 0.001). Compared to controls, the reductions in BP were 3-4 mmHg greater in the I and IW groups, but this only reached significance for DBP in the I group (-3.3 mmHg; P = 0.041). After controlling for age, sex, medication, weight-loss, physical activity and smoking, only the IW group showed a significant association between SBP reduction and increased urinary potassium (β = -0.101, P = 0.044), decreased sodium:potassium ratio (β = 2.446, P = 0.037) and increased consumption of seed and nut products and dishes (β = -0.108, P = 0.034).

CONCLUSIONS

Dietary patterns with distinctive foods and lower sodium:potassium ratios may enhance the effects of weight-loss on BP. The patterns were best achieved with individualised dietary advice and food supplements.

Diet quality and its implications on the cardio-metabolic, physical and general health of older men: the Concord Health and Ageing in Men Project (CHAMP)

The revised Dietary Guideline Index (DGI-2013) scores individuals' diets according to their compliance with the Australian Dietary Guideline (ADG). This cross-sectional study assesses the diet quality of 794 community-dwelling men aged 74 years and older, living in Sydney, Australia participating in the Concord Health and Ageing in Men Project; it also examines sociodemographic and lifestyle factors associated with DGI-2013 scores; it studies associations between DGI-2103 scores and the following measures: homoeostasis model assessment - insulin resistance, LDL-cholesterol, HDL-cholesterol, TAG, blood pressure, waist:hip ratio, BMI, number of co-morbidities and medications and frailty status while also accounting for the effect of ethnicity in these relationships. Median DGI-2013 score was 93·7 (54·4, 121·2); most individuals failed to meet recommendations for vegetables, dairy products and alternatives, added sugar, unsaturated fat and SFA, fluid and discretionary foods. Lower education, income, physical activity levels and smoking were associated with low scores. After adjustments for confounders, high DGI-2013 scores were associated with lower HDL-cholesterol, lower waist:hip ratios and lower probability of being frail. Proxies of good health (fewer co-morbidities and medications) were not associated with better compliance to the ADG. However, in participants with a Mediterranean background, low DGI-2013 scores were not generally associated with poorer health. Older men demonstrated poor diet quality as assessed by the DGI-2013, and the association between dietary guidelines and health measures and indices may be influenced by ethnic background.

Impact of providing walnut samples in a lifestyle intervention for weight loss: a secondary analysis of the HealthTrack trial

Background: Being more specific about individual food choices may be advantageous for weight loss. Including a healthy food (e.g. walnuts) may help to expose effects.

Objective: To examine the impact of including walnuts in diets for weight loss.

Design: Secondary analysis of the HealthTrack lifestyle intervention trial. Overweight and obese participants were randomized to: usual care (C), interdisciplinary intervention including individualized dietary advice (I), or interdisciplinary intervention including 30 g walnuts/day (IW). Changes in body weight, energy intake, intake of key foods, physical activity, and mental health over three and 12 months were explored.

Results: A total of 293 participants completed the intensive three-month study period, and 175 had data available at 12 months. The IW group achieved the greatest weight loss at three months. IW reported significant improvements in healthy food choices, and decreased intakes of discretionary foods/beverages, compared to C. Weight loss remained greatest in IW at 12 months.

Discussion: Significant effects were seen after three months, with the IW group achieving greater weight loss and more favorable changes in food choices.

Conclusions: Including 30 grams walnuts/day in an individualized diet produced weight loss and positive changes in food choice.

Changes in diet quality during a 12 month weight loss randomised controlled trial

BACKGROUND

Reductions in energy intake are seen in weight loss trials, but whether this occurs with improvements to diet quality (DQ) is less established. The aim of this study was to evaluate changes in diet quality in a sample of volunteers in a weight loss trial.

METHODS

This was a secondary analysis of dietary data from a lifestyle intervention trial (the HealthTrack study) which advised on dietary guidelines. The trial ran for 12 months with three treatment groups: control (general advice C), intervention (individualised advice, I), and intervention plus a supplement of walnuts (IW). Both the published a priori diet quality score (APDQS, maximum score 164) and a study specific Diet Quality Tracker (DQT, maximum score 44) indicated compliance to dietary advice. DQ scores calculated at 0, 3months and 12months were evaluated using two-way RMANOVA, one-way ANOVA and one-way RMANOVA. Changes in intakes of food groups and nutrients were analysed using Kruskal-Wallis and Friedman's tests.

RESULTS

There were no differences between groups at baseline, but at 3months IW recorded higher DQ scores (APDQS:96 ± 10; DQT:22 ± 5, P < 1 × 10-3 for both) compared to I (APDQS:91 ± 13, P < 1 × 10-3; DQT:21 ± 4, P < 1 × 10-2) and C (APDQS:87 ± 12, P < 5 × 10-2; DQT:19 ± 4, P > 5 × 10-2), and a higher consumption of nuts at 3 months (P < 1 × 10-3), and 12months (P < 1 × 10-2). All groups reported decreased intakes of discretionary foods/beverages assessed by the DQT (P < 1 × 10-3 for IW and I; P < 1 × 10-2 for C). The APDQS showed this as reduced intakes of grain based desserts (P < 1 × 10-3 at 3 and 12months), and salty snacks at 12months (P < 1 × 10-3 for IW and I; P < 5 × 10-2 for C). Intakes of monounsaturated and saturated fatty acids were lowest, and polyunsaturated fatty acids highest for IW (P < 1 × 10-3), resulting in a higher dietary polyunsaturated:saturated fat ratio (P < 1 × 10-3).

CONCLUSIONS

Lifestyle intervention addressing dietary guidelines can lead to significant reductions in consumption of discretionary foods and saturated fat, but individualised advice may have a greater impact on improving overall DQ regardless of DQI used. Providing a healthy food supplement may help assure higher DQ and where the food is walnuts, produce commensurate differences in dietary fatty acid profiles.

TRIAL REGISTRATION

ANZCTRN 12614000581662. Date of registration: 30th May 2014.

Associations between Dietary Patterns and Blood Pressure in a Clinical Sample of Overweight Adults

BACKGROUND

Dietary pattern analysis provides important evidence revealing diet-disease relationships. It may be especially useful in areas less well researched, such as diet and hypertension in clinical populations.

OBJECTIVE

The aim of this study was to identify the association between dietary patterns and blood pressure (BP) in a sample of overweight adults volunteering for a clinical trial for weight loss.

DESIGN

This cross-sectional analysis used baseline data from the HealthTrack study, a 12-month randomized controlled trial. Dietary intake was evaluated with 4-day food records.

PARTICIPANTS/SETTING

Participants were 328 adults recruited from the Illawarra region of New South Wales, Australia, between May 2014 and April 2015.

MAIN OUTCOME MEASURES

Resting BP and 24-hour urine sodium and potassium were measured.

STATISTICAL ANALYSIS

Dietary patterns were derived by principal component analysis from 21 food groups. Multiple regression analysis was performed to assess the association between the extracted dietary patterns and BP.

RESULTS

The participants' mean age was 43.6±8.0 years, mean body mass index was 32.4±4.2, and mean systolic BP/diastolic BP was 124.9±14.5/73.3±9.9 mm Hg. Six major dietary patterns were identified: "nuts, seeds, fruit, and fish," "milk and meat," "breads, cereals, and snacks," "cereal-based products, fats, and oils," "alcohol, eggs, and legumes," and "savoury sauces, condiments, and meat." The "nuts, seeds, fruit, and fish" dietary pattern was significantly and inversely associated with systolic BP (F [7,320]=15.248; P<0.0005; adjusted R²=0.234 and diastolic BP (F [7,320]=17.351; P<0.0005; adjusted R²=0.259) and sodium-to-potassium ratio (F [7,320]=6.210; P<0.0005; adjusted R²=0.100).

CONCLUSIONS

A dietary pattern rich in nuts, seeds, fruit, and fish was inversely associated with blood pressure in this clinical sample. The findings suggest that current dietary guidelines are relevant to an overweight clinical population and support the value of dietary pattern analysis when exploring the diet-disease relationship.

Relationship between sodium and potassium intake and blood pressure in a sample of overweight adults

OBJECTIVE

The aim of this study was to examine the relationship between sodium and potassium intakes and blood pressure (BP) in a clinical sample.

METHODS

Secondary analysis of baseline data from 328 participants (mean age: 43.6 ± 8 y, mean body mass index [BMI]: 32.4 ± 4.2 kg/m², mean systolic BP [SBP]/diastolic BP [DBP]: 124.9 ± 14.5/73.3 ± 9.9 mm Hg) of the 12-mo HealthTrack randomized controlled weight loss trial was conducted. Resting BP and 24-h urine sodium and potassium were measured. Dietary intake was evaluated with 4-d food records and self-reported diet histories.

RESULTS

Urinary sodium was positively correlated (Spearman's rho) with SBP (r = 0.176; P = 0.001) and DBP (r = 0.150; P = 0.003). The ratio of sodium to potassium was positively correlated with SBP (r = 0.1; P = 0.035). Urinary sodium (F [4,323] = 20.381; P < 0.0005; adjusted R² = 0.231) and sodium-to-potassium ratio (F[4,323] = 25.008; P < 0.0005; adjusted R² = 0.227) significantly predicted SBP after controlling for age, sex, BMI, and hypertension medication use. Dietary sodium and potassium significantly predicted urinary sodium (B = 0.33, t = 4.032, P < 0.01) and potassium (B = 0.67, t = 8.537, P < 0.01) excretion, respectively, after adjustment for energy and BMI. Median dietary sodium intake was 3197 mg/d and median dietary potassium intake was 2886 mg/d. Cereal-based products and dishes were the major contributors (22%) to total sodium intake.

CONCLUSIONS

In the present study, a high dietary sodium intake and high sodium-to-potassium ratio predicted high SBP. This suggests a need to focus dietary advice on reduction of sources of sodium and increasing sources of potassium in weight loss interventions to improve BP control.