Australian Recommended Food Score Research Articles

Does diet quality moderate the long-term effects of discrete but extreme PM2.5 exposure on respiratory symptoms? A study of the Hazelwood coalmine fire

In 2014, a fire at an open cut coalmine in regional Victoria, Australia burned for 6 weeks. Residents of the nearby town of Morwell were exposed to smoke, which included high levels of fine particulate matter (PM2.5). We investigated whether the long-term effects of PM2.5 on respiratory health were moderated by diet quality. A cross-sectional analysis was conducted of data collected 8.5 years after the mine fire from 282 residents of Morwell and 166 residents from the nearby unexposed town of Sale. Primary outcomes were respiratory symptoms. Exposure was coalmine fire-related PM2.5 and diet quality was assessed as Australian Recommended Food Score (ARFS) derived using the Australian Eating Survey (AES). The moderating effect of diet quality on respiratory outcomes associated with PM2.5 was assessed using logistic regression models, adjusting for potential confounders. Diet quality was poor in this sample, with 60% in the lowest category of overall diet quality. Overall diet quality and fruit and vegetable quality significantly attenuated the association between PM2.5 and prevalence of chronic cough and phlegm. Sauce/condiment intake was associated with a greater effect of PM2.5 on COPD prevalence. No other moderating effects were significant. The moderating effects of overall diet quality and vegetable and fruit intake aligned with a priori hypotheses, suggesting potential protective benefits. While more evidence is needed to confirm these findings, improving diets, especially fruit and vegetable intake, may provide some protection against the effects of smoke exposure from fire events.

Gender differences in diet quality and the association between diet quality and BMI: an analysis in young Australian adults who completed the Healthy Eating Quiz.

Many young adults report poor diet quality. However, research evaluating whether young adult males and females differ in diet quality is limited. Additionally, although diet quality has a known inverse association with body mass index (BMI), it is unclear whether this association is observed in young adults and whether it varies by gender. The present study aimed to evaluate gender differences in diet quality in young adults, as well as the associations between diet quality and BMI. Data collected via the Healthy Eating Quiz (HEQ) in respondents aged 18-35 years between July 2019 and December 2021 were analysed, including demographics, and diet quality calculated using the Australian Recommended Food Score (ARFS). Differences in characteristics were analysed using a two-sample t-test, chi-squared and one-way analysis of covariance. Linear regressions were performed to estimate associations between diet quality and BMI. An interaction term was included in the model to test differences between genders. The respondents (n = 28,969) were predominantly female (70.8%) with a mean ± SD age of 25.9 ± 5.0 years and BMI of 24.6 ± 5.2 kg/m2. The mean ± SD ARFS was significantly different between females and males (33.1 ± 8.6 vs. 31.4 ± 9.3 points out of 70; p < 0.001). Diet quality had a small, significant inverse association with BMI in both genders. The interaction effect between diet quality score and gender in predicting BMI was significant (p < 0.001), suggesting the impact of diet quality on BMI varies by gender, with lower diet quality more strongly associated with higher BMI in females compared to males. Interventions that target young adults are needed to improve diet quality and its potential contribution to BMI status. As a result of the small observed effect sizes, caution should be applied in interpreting these findings.

Increasing food insecurity severity is associated with lower diet quality in Australian adults

Food insecurity, the inadequate or insecure access to food due to financial constraints, is a growing concern in high-income countries like Australia(1). Food insecure adults may have reduced diet quality due to constraints on food purchasing and consumption(2) but further research is needed to understand how the severity of food insecurity impacts diet quality in an Australian setting. This study aimed to examine the relationship between diet quality and increasing severity of household food insecurity using validated measurement tools. A cross-sectional, online survey of Australian adults (aged 18 years+) used the USDA Household Food Security Six-item Short Form to classify respondents as food secure or marginally, moderately, or severely food insecure. The Australian Recommended Food Score (ARFS; score between 0–73) determined diet quality (ARFS total) and sub-scale scores for eight food groups(3), with higher scores indicating higher diet quality. Diet quality score results are further categorised as “needs work” (&lt;33), “getting there” (33-38), “excellent” (39-46) or “outstanding” (47+). Survey-weighted linear regression (adjusted for age, sex, income, education, location, household composition) analyses indicate that 45% of participants were living in households that experienced food insecurity, comprising 7% marginally, 18% moderately and 20% severely food insecure households. The ARFS total survey-weighted mean score for the whole sample (n = 804) was 32.4 (SD = 9.8). As the severity of household food insecurity increased, ARFS scores decreased. Marginally food insecure respondents reported a mean ARFS score three points lower than food-secure adults (B=-2.7; 95%CI [−5.11, −0.34]; p = 0.03), and scores reduced by six points for moderately (B=-5.6; 95%CI [−7.26, −3.90]; p&lt;0.001) and twelve points for severely food insecure respondents (B=-11.5; 95%CI [−13.21, −9.78]; p&lt;0.001). Marginally food insecure respondents had significantly lower vegetable sub-scale scores, moderately food insecure respondents had significantly lower sub-scale scores for all food groups except dairy, severely food insecure respondents had significantly lower scores for all sub-scale scores. Poorer diet quality is evident in adults living with any food insecurity but gets progressively worse as the severity of food insecurity increases. Interventions to reduce food insecurity and increase diet quality are required to prevent adverse nutrition-related health outcomes in food-insecure populations in Australia and beyond.

Increasing food insecurity severity is associated with lower diet quality.

Food insecurity may reduce diet quality, but the relationship between food insecurity severity and diet quality is under-researched. This study aimed to examine the relationship between diet quality and severity of household food insecurity. A cross-sectional, online survey used the United States Department of Agriculture Household Food Security Six-item Short Form to classify respondents as food secure or marginally, moderately or severely food insecure. The Australian Recommended Food Score (ARFS; scored 0–73) determined diet quality (ARFS total and sub-scale scores). Survey-weighted linear regression (adjusted for age, sex, income, education, location and household composition) was conducted. Tasmania, Australia. Community-dwelling adults (aged 18 years and over). The mean ARFS total for the sample (n 804, 53 % female, 29 % aged > 65 years) was 32·4 (sd = 9·8). As the severity of household food insecurity increased, ARFS total decreased. Marginally food-insecure respondents reported a mean ARFS score three points lower than food-secure adults (B = –2·7; 95 % CI (–5·11, –0·34); P = 0·03) and reduced by six points for moderately (B = –5·6; 95 % CI (–7·26, –3·90); P < 0·001) and twelve points for severely food-insecure respondents (B = –11·5; 95 % CI (–13·21, –9·78); P < 0·001). Marginally food-insecure respondents had significantly lower vegetable sub-scale scores, moderately food-insecure respondents had significantly lower sub-scale scores for all food groups except dairy and severely food-insecure respondents had significantly lower scores for all sub-scale scores. Poorer diet quality is evident in marginally, moderately and severely food-insecure adults. Interventions to reduce food insecurity and increase diet quality are required to prevent poorer nutrition-related health outcomes in food-insecure populations in Australia.

Association between food insecurity status, campus food initiative use and diet quality in Australian university students.

University students may experience food insecurity due to financial constraints, reducing the quality of their diet. This study aimed to identify students at higher risk of food insecurity, their engagement with on-campus food initiatives and evaluate the relationship between food insecurity and a validated index of diet quality. A cross-sectional online survey used the six-item Household Food Security Survey Module to assess food insecurity. Total diet quality and subscale scores for eight food groups were measured using the Australian Recommended Food Score (range 0-73). Univariate and multivariate regression identified groups at risk of food insecurity, their engagement with campus food initiatives and relationship with diet quality scores. Of student respondents (n = 197), over half (54%) experienced food insecurity (14% mild, 23% moderate and 18% severe food insecurity). Male students and students not living with parents were at significantly higher risk. Food-insecure students were significantly more likely to use the campus food pantry (odds ratio = 2.3 [95% confidence interval = 1.286-4.142]; p = 0.005) but not a campus community garden. The mean diet quality score was 32.9 (standard deviation = 8.9). Food-insecure students reported a mean diet quality score over three points lower than food-secure respondents (B = -3.5 [95% confidence interval = -6.0 to -1.0]; p = 0.006), with significantly lower fruit and vegetable subscale scores. Results suggest a high occurrence of food insecurity and poor dietary quality in university students. Despite high levels of engagement with the campus food pantry, the poor diet quality of food-insecure students suggests an urgent need for greater university-led interventions to improve students' dietary intake.

Higher dietary quality is prospectively associated with lower MRI FLAIR lesion volume, but not with hazard of relapse, change in disability or black hole volume in people with Multiple Sclerosis.

The influence of diet quality on multiple sclerosis (MS) progression or inflammatory activity is not well understood. Study participants with MS from the AusLong cohort, were followed annually (10 years, n=223 post-onset). At baseline, 5 and 10-year reviews, indices of dietary quality - the Australian Recommended Food Score (ARFS) and Diet Quality Tracker (DQT) - were calculated from self-reported dietary intake data of the preceding 12 months (Food Frequency Questionnaire, Dietary Questionnaire for Epidemiological Studies v2). Associations were examined between measures of dietary quality with measures of MS progression and inflammatory activity hazard of relapse, annualised disability progression (Expanded Disability Status Scale, EDSS) and Magnetic Resonance Imaging (MRI) outcomes. MRI outcomes included fluid-attenuated inversion recovery (FLAIR, T2 MRI) lesion volume and black hole volume (T1 MRI) in the juxtacortical, periventricular, and infratentorial regions of the brain, as well as total calculated from the sum of the three regions. A higher diet quality (at least with the ARFS) was associated with lower FLAIR lesion volume in the periventricular region only (highest vs lowest quartile: β=-1.89,95%CI=-3.64, -0.13, p=0.04, periventricular FLAIR region median (IQR) for 5-year review: 4.41 (6.06) and 10-year review: 4.68 (7.27)). Associations with black hole lesion volume, hazard of relapse, and annualised EDSS progression, lacked in significance and/or dose-dependency. We found evidence that diet quality may have a role in modulating one aspect of MS inflammatory activity (periventricular MRI FLAIR lesion volume), but not other MRI and clinical outcome measures.

The Diet Quality of Australian Stroke Survivors in a Community Setting

Introduction: Diet quality is a marker of how closely eating patterns reflect dietary guidelines. The highest tertile for diet quality scores is associated with 40% lower odds of first stroke compared with the lowest tertile. Little is known about the diet of stroke survivors. We aimed to assess dietary intake and quality of Australian stroke survivors. Methods: Stroke survivors enrolled in the ENAbLE pilot trial (2019/ETH11533, ACTRN12620000189921) and Food Choices after Stroke study (2020ETH/02264) completed the Australian Eating Survey Food Frequency Questionnaire (AES), a 120-item, semiquantitative questionnaire of habitual food intake over the previous 3–6 months. Diet quality was determined by calculating the Australian Recommended Food Score (ARFS): a higher score indicates higher diet quality. Results: Eighty-nine adult, stroke survivors (female: n = 45, 51%) of mean age 59.5 years (±9.9) had a mean ARFS of 30.5 (±9.9) (low diet quality). Mean energy intake was similar to the Australian population: 34.1% from noncore (energy-dense/nutrient-poor) and 65.9% from core (healthy) foods. However, participants in the lowest tertile for diet quality (n = 31) had significantly lower intake of core (60.0%) and higher intake from noncore foods (40.0%). Most participants did not meet daily requirements for fiber, potassium, or omega 3 fatty acids (2%, 15%, and 18%), nutrients important to reduce stroke risk. Conclusion: The diet quality of stroke survivors was poor, with inadequate intake of nutrients important for reducing recurrent stroke risk. Further research is needed to develop effective interventions to improve diet quality.

Maternal diet quality and nutrient intakes across preconception and pregnancy are not consistent with Australian guidelines: Results from the pilot BABY1000 study.

Maternal nutrition has profound and lasting effects on growth and health from infancy into adulthood. The aim of this manuscript was to assess diet quality and nutrient adequacy in preconception and pregnancy in BABY1000 pilot study participants (n = 171). The Australian Eating Survey (AES) Food Frequency Questionnaire was administered to women based in Sydney, Australia, at preconception or 12 weeks' gestation (n = 158), and again at 36 weeks' gestation (n = 99). Primary outcomes were diet quality and nutrient intake. Diet quality was evaluated using the AES diet quality subscale, the Australian Recommended Food Score (ARFS). Nutrient intakes were compared to Australian Nutrient Reference Values. Diet quality and nutrient intakes were not consistent with Australian recommendations. Over 83% of women exceeded the suggested target limits for percentage energy from saturated fat. Median ARFS was 37 at baseline, and 38 in late pregnancy (maximum score 73). Inadequate micronutrient intakes from food were common; no participants met the Estimated Average Requirement for iron, 76%-84% for iodine, 70%-78% for calcium and 44%-50% for folate. Maternal diet quality and nutrient intakes in the current sample are inconsistent with pregnancy recommendations and therefore may not be supporting optimal perinatal or long-term offspring health. Stronger messaging around the importance of prenatal nutrition, prevalence of dietary inadequacy, and availability of reliable support and information specific to nutrition in pregnancy is crucial in supporting women to improve their nutrition both before and during pregnancy.

Gut microbiome composition is similar between pregnant women with excess body fat with healthy and less healthy dietary intake patterns.

Dietary composition influences the composition of the gut microbiota in healthy adults. Little is known about the effect of dietary patterns on gut microbiota composition in pregnancy. This cross-sectional study aimed to investigate the associations between two diet quality scores adapted from the Australian Recommended Food Score (ARFS) and the Mediterranean Dietary Score (MDS) with the composition of the gut microbiota in pregnant women with excess body fat at 28 weeks' gestation. Women from the Study of Probiotics IN Gestational diabetes (SPRING) who had completed a food frequency questionnaire (FFQ; n = 395) were classified according to tertiles of ARFS and the MDS. Higher dietary pattern scores in both the ARFS and the MDS represent better diet quality. Gut microbiota composition was assessed using 16S rRNA gene amplicon sequencing and analysed using MicrobiomeAnalyst in a subset of 196 women with faecal samples. No significant difference was found in alpha or beta diversity. A higher ARFS was associated with a higher abundance of Ruminococcus and lower abundance of Akkermansia, whereas a higher MDS was associated with a higher abundance of Ruminococcus and Butyricicoccus, though these changes disappeared after correction for multiple testing. These results suggest that dietary patterns defined by the ARFS and MDS were not associated with gut microbiota composition in pregnant women classified as overweight and obese at 28 weeks' gestation within this study.

Diet Quality of Adolescents and Adults Who Completed the Australian Healthy Eating Quiz: An Analysis of Data over Six Years (2016-2022).

Diet quality is influenced by demographics and can change over time. This study aimed to (1) compare diet quality among adolescents/adults who completed the online Healthy Eating Quiz (HEQ) by demographic characteristics, and (2) to evaluate change in score over time for repeat completers. HEQ data collected between July 2016 and May 2022 were analysed, including demographics (age, gender, vegetarian status, socio-economic status, number of people main meals are shared with, country), and diet quality calculated using the Australian Recommended Food Score (ARFS) (range 0–73) for respondents aged ≥ 16 years. Differences in ARFS by demographic characteristics and change in score over time, adjusted for age, gender and vegetarian status, were tested by linear regression. The participants (n = 176,075) were predominantly female (70.4%), Australian (62.8%), and aged 18–24 years (27.7%), with 4.0% (n = 7087) repeat completers. Mean ± SD ARFS was 33.9 ± 9.4/73. Results indicate that ARFS was significantly lower among males and significantly higher with increasing age group, higher socio-economic status, in vegetarians, those who shared main meals with others, and those living in Australia (p-values < 0.001). Mean change in ARFS over time (2.3 ± 6.9) was significantly higher for those with lower baseline scores (p < 0.001). Publicly available, brief dietary assessment tools have the potential to improve diet quality at the population level.

Antenatal diet quality and perinatal depression: the Microbiome Understanding in Maternity Study (MUMS) cohort.

Previous findings from research investigating the role of antenatal nutrition in preventing postpartum depression (PPD) are inconsistent. Our primary aim was to investigate the association between pregnancy diet quality and PPD. Our secondary aim was to investigate associations between (a) diet quality and depression during pregnancy and (b) depression during pregnancy and PPD. This analysis represents data from 73 women participating in the Microbiome Understanding in Maternity Study (MUMS) cohort in Sydney, Australia, which followed women from Trimester 1 of pregnancy to 1-year postpartum (PP). Participants' diet quality was assessed using the Australian Eating Survey at Trimester 1 and 3 to calculate diet quality, known as the Australian Recommended Food Score (lower diet quality defined as score <39; higher diet quality ≥39). Depression was assessed using the Edinburgh Depression Scale at Trimesters 1, 2, 3 and 6 weeks PP (defined as score ≥11). Depression scores during pregnancy were significantly associated with depression score 6 weeks PP (Trimester 1: r = 0.66, Trimester 2: r = 0.69, Trimester 3: r = 0.67; all p < 0.001). Diet quality during pregnancy was not significantly correlated with 6-week PPD score. In unadjusted analysis, diet quality during pregnancy was not associated with pregnancy depression scores. When adjusted for age, parity and Trimester 1 body mass index, Trimester 1 physical activity levels and gestational weight gain, higher Trimester 3 diet quality was associated with reduced Trimester 3 depression only. Depression scores during pregnancy were positively associated with PPD, highlighting the importance of screening for depression during pregnancy and postnatally. Larger longitudinal prospective studies may elucidate the association between diet quality and PPD.

Variation in cardiovascular disease risk factors among older adults in the Hunter Community Study cohort: A comparison of diet quality versus polygenic risk score.

BackgroundThe interplay between cardiovascular disease (CVD) genetic risk indexed by a polygenic risk score (PRS) and diet quality still requires further investigation amongst older adults or those with established or treated CVD. The present study aimed to evaluate the relative contribution of diet quality, measured using the Australian Recommended Food Score (ARFS) and PRS, with respect to explaining variation in plasma lipids CVD outcomes in the Hunter Cohort.MethodsThe study comprised a secondary analysis of cross‐sectional data from the Hunter Cohort study. Single‐nucleotide polymorphisms from previously derived polygenic scores (PGSs) for three lipid classes were obtained: low‐density lipoprotein, high‐density lipoprotein and triglycerides, as well as PRS for coronary artery disease (CAD) from the PGS catalogue. Regression modelling and odds ratios were used to determine associations between PRS, ARFS and CVD risk.ResultsIn total, 1703 participants were included: mean ± SD age 66 ± 7.4 years, 51% female, mean ± SD total ARFS 28.1 ± 8 (out of 74). Total diet quality and vegetable subscale were not significantly associated with measured lipids. By contrast, PGS for each lipid demonstrated a markedly strong, statistically significant correlation with its respective measured lipid. There was a significant association between CAD PRS and 5/6 CVD phenotypes (all except atrial fibrillation), with the largest effect size shown with coronary bypass. Adding dietary intake as a covariate did not change this relationship.ConclusionsLipid PGS explained more variance in measured lipids than diet quality. However, the poor diet quality observed in the current cohort may have limited the ability to observe any beneficial effects. Future research should investigate whether the diet quality of older adults can be improved and also the effect of these improvements on changes in polygenic risk.

Associations between diet quality and depression, anxiety, and fatigue in multiple sclerosis

BackgroundMany people with multiple sclerosis (MS) modify their dietary intake post diagnosis, but there is little evidence that dietary modifications influence MS outcomes. MethodsPeople with a first clinical diagnosis of central nervous system demyelination were followed annually for 10 years. Depression, anxiety, and fatigue were assessed at the 5-and 10-year reviews using the Hospital Anxiety and Depression Scale and Fatigue Severity Scale, respectively. Dietary intake in the preceding 12 months was assessed at baseline, and 5-and 10-year reviews using a food frequency questionnaire. We used the Australian Recommended Food Score (ARFS) and the Diet Quality Tracker (DQT) to assess diet quality. ResultsA higher diet quality in the previous 12 months using the ARFS score, but not the DQT, was associated with lower levels of depression (e.g., highest vs lowest quartile: β=-1.35,95%CI=-2.44,-0.26,p=0.01), but neither score was associated with anxiety or fatigue. After assessing diet quality prospectively with outcomes five years later, we found that higher ARFS score, but not DQT score, was associated with lower levels of subsequent anxiety and depression (highest vs lowest quartile; Anxiety: β=-1.61,95%CI=-2.76,-0.46,p=0.01, Depression: β=-1.25,95%CI=-2.44,-0.07,p=0.04), but not fatigue. No associations were observed between diet quality and subsequent change in depression and anxiety over five years, although an association was observed between diet quality and change in fatigue (e.g., highest vs lowest DQT quartile: β=-1.06,95%CI=-1.92,-0.21,p=0.02). When examining the cumulative effect of diet quality across the study period with our 10-year outcomes, only the cumulative DQT score was associated with depression but not anxiety or fatigue. ConclusionWe found significant inverse associations between diet quality and depression and anxiety, but the effect sizes were modest and there was a lack of consistency between the two diet quality measures (ARFS and DQT). A diet measure that correlates with diet quality might underlie our observed associations.

Eating Behaviors and Diet Quality: A National Survey of Australian Young Adults

ObjectiveTo investigate associations between eating behavior constructs (social eating, perceived competence, habit automaticity, self-determined motivation) and diet quality among young adults. DesignCross-sectional analysis. ParticipantsYoung adults (n = 1,005; mean age, 21.7 ± 2.0 years; 85% female) enrolled in the Advice, Ideas, and Motivation for My Eating (Aim4Me) study. Main outcome measuresFour eating behavior measures collected via online surveys: Social Eating Scale, Perceived Competence in Healthy Eating Scale, Self-Report Behavioral Automaticity Index, and Regulation of Eating Behaviors scales. Diet quality was assessed using the Australian Recommended Food Score (ARFS) and percentage energy from energy-dense, nutrient-poor (EDNP) foods. AnalysisMultivariate linear regression investigating associations between eating behavior measures (independent variables) and ARFS and EDNP foods (dependent variables), adjusting for sociodemographic and lifestyle confounders. ResultsGreater perceived competence in healthy eating and behavioral automaticity for consuming healthy foods, limiting EDNP food intake, and higher intrinsic motivation, integrated regulation, and identified regulation of eating behaviors were associated with higher ARFS and lower percentage energy EDNP foods (P < 0.001). Greater self-reported social influence on eating behaviors was associated with higher ARFS (P = 0.01). Higher amotivation was associated with greater % energy from EDNP foods (P < 0.001). Conclusions and ImplicationsPerceived competence, habit automaticity, and self-determined motivation are determinants of diet quality in young adults. These findings support the development of interventions that promote healthy eating habits by focusing on eating behavior constructs and evaluating their use in improving diet quality.

Gender differences in social desirability and approval biases, and associations with diet quality in young adults.

Social desirability and approval biases can influence self-report of diet, contributing to inaccurate assessment. Biases may be influenced by sex. This study examined gender differences in social desirability and approval, and diet quality in young adults, and relationships between social biases and diet quality. Data from 1003 young adults participating in the Advice, Ideas and Motivation for My Eating trial, median age 21.7 years, BMI 24.7 kg/m2 were included. Biases were measured using Marlowe-Crowne Social Desirability Scale Short-Form, Martin Larsen Approval Motivation Scale, and diet quality using the Australian Recommended Food Score. Pearson chi-square, t-test and Wilcoxon tests evaluated gender differences and Spearman's rank-order tested strengths of correlations between biases and diet quality. Social desirability did not differ by gender, however females reported higher social approval scores than males (p = 0.009). Among females, there was a positive correlation between social desirability and diet quality (p = 0.002), and between social approval and dairy sub-scale (p < 0.001); and a negative correlation between social approval and vegetable subscale (p = 0.045). Among males there were no correlations between social desirability or social approval and overall diet quality. Social approval may be more common in females and influence self-reported diet. To address bias and mis-reporting errors, future studies should account for participants' social desirability and/or social approval status, especially among young adult females. Further research is needed to explore gender differences in social desirability and approval in young adults, and associations between social biases and diet quality.

197Assessment of Depression, Anxiety and Fatigue in relation to diet quality in Multiple Sclerosis

Abstract Background Many people with multiple sclerosis (MS) modify their dietary intake, but there is low evidence that this influences MS disease activity or progression. We examined whether indices of diet quality (Dietary Quality Tracker and Australian Recommended Food Score) were associated with depression, anxiety and fatigue using a prospective cohort. Methods The Auslong Study participants were followed annually for 10 years (n = 223 with MS at 10 years). Depression &amp; anxiety (Hospital Anxiety &amp; Depression Scale, HADS) and fatigue (Fatigue Severity Scale) were assessed at the 5th and 10th-year reviews. Dietary intake in the preceding 12 months using the Cancer Council Victoria Food Frequency Questionnaire was assessed at the baseline, 5th and 10th year reviews. Results Overall diet quality at the 5th-year review was not associated with a change in depression, anxiety or fatigue in the subsequent 5 years. However, a higher intake of protein, grain and discretionary foods at the 5th-year review using the Dietary Quality Tracker were associated with an increase in HADS depression score over the subsequent 5 years (e.g. highest vs lowest quartile protein: β=2.14,95%CI=0.91,3.37,p&amp;lt;0.001). Also, a higher legume intake at the 5th-year review was associated with a decrease in HADS anxiety score over the subsequent 5 years( e.g. highest vs lowest quartile: β=-1.92,95%CI=-3.32,-0.53,p=0.01). Conclusion Overall diet quality was not associated with a subsequent change in depression, anxiety or fatigue over 5-years but some specific food groups were associated with depression and anxiety. Replication is required before testing these findings with diet intervention programs in people with MS. Key messages Overall diet quality was not associated with 5-year change in depression, anxiety and fatigue in people with MS. However, some individual food groups were associated with a change in depression and anxiety.

The role of diet quality and dietary patterns in predicting muscle mass and function in men over a 15-year period.

SummaryA growing body of evidence suggests that diet quality may predict muscle health. This study found that a “Traditional” dietary pattern predicted greater muscle mass, and an anti-inflammatory diet predicted greater muscle mass and better muscle function over 15 years. These findings reinforce the importance of optimising dietary behaviours for healthy ageing.IntroductionResearch investigating the roles of individual nutrients in muscle health fails to account for the synergistic relationships between foods and nutrients. This study aimed to investigate the predictive value of diet quality and dietary patterns for muscle mass and function in men over a 15-year period.MethodsThis longitudinal study was conducted in 522 men from the Geelong Osteoporosis Study with complete dietary and muscle mass or muscle function data at both baseline and 15-year follow-up assessments. Dietary exposures were extracted from food frequency questionnaires and included the Australian Recommended Food Score, the Dietary Inflammatory Index (DII®), and three a posteriori dietary patterns: Plant-focused, Western, and Traditional (Anglo-Australian). Outcome variables included dual-energy X-ray absorptiometry–derived skeletal muscle index (SMI) and muscle function measured with the timed up-and-go (TUG) test.ResultsAn anti-inflammatory diet and higher scores on a Traditional dietary pattern both predicted greater SMI ((B: −0.04 (95%CI −0.08, −0.00) kg/m2) and (B: 0.12 (95%CI 0.04, 0.20) kg/m2), respectively), while a pro-inflammatory diet predicted slower TUG (B: 0.11 (95%CI 0.001, 0.21) sec) over the 15-year follow-up period. These associations remained significant following adjustment for confounding variables. There were no associations observed for other dietary exposures.ConclusionA Traditional dietary pattern higher in vegetables, wholegrain cereals, and animal protein was associated with greater skeletal muscle mass, and an anti-inflammatory diet, also rich in vegetables, fruit, and wholegrain cereals, was associated with greater skeletal muscle mass and better muscle function over 15 years.Supplementary InformationThe online version contains supplementary material available at 10.1007/s00198-021-06012-3.

Comparison of pre-diagnosis dietary intake of women with gestational diabetes mellitus to dietary recommendations

The prevalence of Gestational Diabetes Mellitus (GDM) increased from 7% to 13.1% between 2013 and 2017 in NSW, Australia. Limited detail has been reported on dietary patterns prior to GDM diagnosis. AimTo evaluate adequacy of micronutrient intakes and contribution of nutrient-dense versus energy-dense, nutrient-poor food groups to total energy. MethodDietary intake of women with GDM was assessed over the six months prior to attending the first outpatient nutrition education group using the Australian Eating Survey: food frequency questionnaire with food group serves compared to the Australian Guide to Healthy Eating recommendations. Nutrient intakes compared to Estimated Average Requirements (EARs). Diet quality was evaluated using the Australian Recommended Food Score diet quality index. ResultsFifty women with a mean age of 30.8±4.6 years completed the Australian Eating Survey. Mean percentage (SD) energy intake derived from nutrient-dense versus energy-dense, nutrient-poor foods was 66.6% (12.4) and 33.4% (12.4); respectively. Median intakes of iron, calcium, fibre, iodine and folate were below EARs. Median (IQR) total Australian Recommended Food Score was 31(15) from a maximum 73 points. Adherence to the Australian Guide to Healthy Eating recommendations was low, with no participants meeting recommendations for serves of bread and cereals, 92% below dairy and dairy alternatives and 82% below vegetable intake recommendations. ConclusionsBefore being diagnosed with GDM, women derive a high percentage of total energy from energy-dense, nutrient-poor foods, have low dietary variety amongst nutrient-dense foods, and sub-optimal intakes of key pregnancy micronutrients. Poor dietary patterns require attention within medical nutrition therapy for GDM in order to optimise nutrition-related health outcomes.

Associations of sarcopenia components with physical activity and nutrition in Australian older adults performing exercise training

BackgroundThe risk of progressive declines in skeletal muscle mass and strength, termed sarcopenia, increases with age, physical inactivity and poor diet. The purpose of this study was to explore and compare associations of sarcopenia components with self-reported physical activity and nutrition in older adults participating in resistance training at Helsinki University Research [HUR] and conventional gyms for over a year, once a week, on average.MethodsThe study looked at differences between HUR (n = 3) and conventional (n = 1) gyms. Muscle strength (via handgrip strength and chair stands), appendicular lean mass (ALM; via dual energy X-ray absorptiometry) and physical performance (via gait speed over a 4-m distance, short physical performance battery, timed up and go and 400-m walk tests) were evaluated in 80 community-dwelling older adults (mean ± SD 76.5 ± 6.5 years). Pearson correlations explored associations for sarcopenia components with self-reported physical activity (via Physical Activity Scale for the Elderly [PASE]) and nutrition (via Australian Eating Survey).ResultsNo differences in PASE and the Australian Recommended Food Score (ARFS) were observed between HUR and conventional gyms, however HUR gym participants had a significantly higher self-reported protein intake (108 ± 39 g vs 88 ± 27 g; p = 0.029) and a trend to have higher energy intake (9698 ± 3006 kJ vs 8266 ± 2904 kJ; p = 0.055). In both gym groups, gait speed was positively associated with self-reported physical activity (r = 0.275; p = 0.039 and r = 0.423; p = 0.044 for HUR and conventional gyms, respectively). ALM was positively associated with protein (p = 0.047, r = 0.418) and energy (p = 0.038, r = 0.435) intake in the conventional gym group. Similar associations were observed for ALM/h2 in the HUR group. None of the sarcopenia components were associated with ARFS in either gym group.ConclusionOlder adults attending HUR and conventional gyms had similar self-reported function and nutrition (but not protein intake). Inadequate physical activity was associated with low gait speed and inadequate nutrition and low protein ingestion associated with low lean mas, even in older adults participating in exercise programs. Optimal physical activity and nutrition are important for maintaining muscle mass and function in older adults.

Associations between diet quality and knee joint structures, symptoms and systemic abnormalities in people with symptomatic knee osteoarthritis

The evidence of benefiting from a high-quality diet for knee osteoarthritis (OA) joint structures, symptoms, and systemic abnormalities is limited. Clarifying the relationship between diet quality and knee OA could provide useful information for knee OA management. To investigate the associations between diet quality and knee joint structures, symptoms, lower limb muscle strength, depressive symptoms, and quality of life in people with knee OA. This study was a post-hoc, exploratory analysis using data from a randomized controlled trial in symptomatic knee OA participants with a follow-up time of 24 months. In brief, eligible participants of the original study were aged 50-79 years, had symptomatic knee OA, and had a pain of 20-80mm on a 100-mm visual analog scale. After excluding the patients without information on diet quality, 392 participants were included in this post-hoc analysis. Diet quality was assessed at baseline using the Australian Recommended Food Score (ARFS) which includes subscores of vegetable, fruit, grain, dairy products, fat, and alcohol. Knee joint structures (including cartilage volume, cartilage defect, bone marrow lesions, and effusion-synovitis volume assessed by magnetic resonance imaging), OA symptoms, lower limb muscle strength, depressive symptoms, and quality of life were assessed at baseline and follow up. Mixed-effects models were used to assess the associations of diet quality with those outcomes. Diet quality mainly reflect diet variety within the core food was not associated with knee structures and OA symptoms, but was associated with greater lower limb muscle strength (β=0.66, P=0.001), lower depressive symptom (β=-0.08, P=0.001), and better quality of life (β=-0.06, P=0.002). In further analyses of food group-based sub-scores, only the vegetable sub-score had the similar associations with lower limb muscle strength (β=1.03, P=0.004), depressive symptom (β=-0.17, P<0.001), and quality of life (β=-0.14, P<0.001). Higher diet quality, mainly vegetable diet quality, is associated with greater lower limb muscle strength, less depressive symptoms, and higher quality of life in knee OA patients, suggesting higher diet quality may have protective effects on knee OA.