A Comparison of Diet Quality in a Sample of Rural and Urban Australian Adults

The diet quality of rural Australians is under researched. Characterising disparities in diet quality between rural and urban populations may inform targeted interventions in at- risk groups. A cross-sectional study aimed to determine the relationship between diet quality, rurality and sociodemographic characteristics in a sample of Australian adults. Participants were recruited at rural and regional events between 2017 and 2020, in New South Wales, Australia. Diet quality was measured using the Healthy Eating Quiz or Australian Eating Survey to generate an Australian Recommended Food Score (ARFS). ARFS was compared by rurality and sociodemographic characteristics using multivariate regression. Participants (n = 247; 53% female) had a mean ± SD ARFS of 34.5 ± 9.0. There was no significant effect of rurality on ARFS (β-coefficient = −0.4; 95%CI −3.0, 2.3). Compared to participants aged 18–30 years, higher ARFS was evident for those aged 31–50 (β = 5.4; 95%CI 0.3, 10.4), 51–70 (β = 4.4; 95%CI 0.3, 8.5) and >71 years (β = 6.5; 95% CI 1.6–11.4). Compared to those living alone, participants living with a partner (β = 5.2; 95%CI 2.0, 8.4) and families with children (β = 5.6; 95%CI 1.4, 9.8) had significantly higher ARFS. ARFS was significantly lower with each additional self-reported chronic health condition (β = −1.4; 95%CI −2.3, −0.4). Our results indicate that diet quality as defined by the ARFS was classified as ‘getting there’ and that age, living arrangements and chronic health conditions, but not rurality, influenced diet quality in a sample of Australian adults.

Diet Quality of Malaysians across Lifespan: A Scoping Review of Evidence in a Multi-Ethnic Population

Malaysia is a rapidly developing economy experiencing a nutrition transition. It suffers from a double burden of over- and undernutrition, making it essential to understand diet quality in the population. In this scoping review, we have collated the existing literature on Malaysian diet quality, including factors that influence it, and the association between diet quality and health outcomes across the lifespan of Malaysians. Overall, diet quality was poor in all age groups studied. The Healthy Eating Index (HEI) and its iterations were predominantly used in urban and clinical settings to evaluate diet-chronic disease relationships. These indices were significantly associated with cardio-metabolic and disease risks in adults. The Diet Diversity Score (DDS) and Food Variety Score (FVS) were used to gauge diet quality in maternal and child nutrition studies and were associated with appropriate growth and caloric intake. Deficiencies were found in fruit, vegetable, legumes, and dairy intake. Meat, salt, and sugar intake were found to be excessive in many studies. The findings can inform policies to improve diet quality in this population. The review also identified knowledge gaps that require further investigation.

Relationship between neighborhood food environment and diet variety in Japanese rural community-dwelling elderly: a cross-sectional study

Background

Food access is an important aspect of health promotion for the elderly. The aim of this study was to investigate the relationship between distance to the nearest food store and diet variety in rural community-dwelling elderly Japanese.

Methods

This cross-sectional study analyzed data from 1,103 elderly participants surveyed by mail in rural areas of Japan. Diversity of food intake was assessed using the diet variety score (DVS). Street network distance from home to food store was calculated and categorized by quartile using a geographic information system and analyzed in relation to diet using multivariable regression with the primary outcome as low DVS. Sub-analysis of the association with DVS was conducted for each food store category (convenience store, supermarket, and small food store). The association between intake frequency of each food group and distance was also analyzed.

Results

Participants in the fourth quartile of distance to food store had significantly higher prevalence ratio (1.15; 95% CI, 1.01–1.32) for low DVS than those in the first quartile. There was a significant tendency between greater distance to food store and lower DVS (P for trend = 0.033). Supermarkets and convenience stores, in particular, showed significant associations. Greater distance was significantly associated with lower frequency of meat and fruit intake.

Conclusion

There was significant association between distance to nearest food store and diet variety in rural Japanese elderly. These findings suggest the importance of interventions for areas at high risk of low diet variety, such as places far away from food stores.

The Association between Dietary Variety and Physical Frailty in Community-Dwelling Older Adults

The aim of this cross-sectional study was to examine the association between diet variety and physical frailty in community-dwelling older adults. Data of 577 older adults (mean age: 74.0 ± 6.3 years, women: 62.5%) were analyzed. Diet variety was assessed using the Food Frequency Score (FFS) (maximum, 30 points). The FFS assessed the one-week consumption frequency of ten foods (meat, fish/shellfish, eggs, milk & dairy products, soybean products, green & yellow vegetables, potatoes, fruits, seafood, and fats & oil). Physical frailty was assessed using Fried's component (slowness, weakness, exhaustion, low physical activity, and weight loss). The participants were classified into frail, pre-frail, and non-frail groups. The prevalence of physical frailty was 6.6%. This study found significant associations between physical frailty and low FFS after adjusting for covariates (odds ratio (OR) 0.90, 95% confidence interval (CI) 0.84-0.97, p < 0.01). The optimal cutoff point of the FFS for physical frailty was ≤16 points. FFS lower than the cutoff point were significantly associated with physical frailty after adjusting for covariates (OR 3.46, 95% CI 1.60-7.50, p < 0.01). Diet variety assessed using the FFS cutoff value of ≤16 points was related to the physical frailty status in community-dwelling older adults.

Improvements in Children's Feeding Behavior after Intensive Interdisciplinary Behavioral Treatment: Comparisons by Developmental and Medical Status

This study examined changes in child mealtime behavior, diet variety, and family mealtime environment after intensive interdisciplinary behavioral treatment (IIBT) for 52 children referred to a day treatment feeding program. Children fell into three developmental status groups including autism spectrum disorder (n = 16), other special needs (n = 19), and no special needs (n = 17), with some having no known medical problems (n = 22) and some having gastrointestinal, cardiopulmonary, and/or endocrine-metabolic problems (n = 28). At pre-intervention and post-intervention, caregivers completed the About Your Child's Eating scale, the Brief Assessment of Mealtime Behavior in Children, and a food preference inventory of 70 common foods (20 fruits, 23 vegetables, 12 proteins, 8 grains, 7 dairy). Mixed-factor 2 × 3 ANOVAs compared each of the 11 feeding outcomes across the two study phases (pre-, post-intervention) for the three developmental status groups. All feeding outcomes except fruit acceptance showed significant improvements from pre- to post-intervention, with no main effects for developmental status, and no interaction effects. Additionally, mixed-factor 2 × 2 ANOVAs compared each of the 11 feeding outcomes across the two study phases (pre-, post-intervention) for children with and without medical problems. All feeding outcomes except fruit acceptance showed significant improvements from pre- to post-intervention, with no main effects for medical status, and no interaction effects. Present results suggest that IIBT is effective for improving a number of children's feeding problems, regardless of their developmental or medical status.

Diet Quality Scores of Australian Adults Who Have Completed the Healthy Eating Quiz

Higher scores obtained using diet quality and variety indices are indicators of more optimal food and nutrient intakes and lower chronic disease risk. The aim of this paper is to describe the overall diet quality and variety in a sample of Australian adults who completed an online diet quality self-assessment tool, the Healthy Eating Quiz. The Healthy Eating Quiz takes approximately five minutes to complete online and computes user responses into a total diet quality score (out of a maximum of 73 points) and then categorizes them into the following groups: 'needs work' (<33), 'getting there' (33-38), 'excellent' (39-46), or 'outstanding' (47+). There was a total of 93,252 first-time respondents, of which 76% were female. Over 80% of respondents were between 16-44 years of age. The mean total score was 34.1 ± 9.7 points. Females had a higher total score than males (p < 0.001) and vegetarians had higher total scores than non-vegetarians (p < 0.001). Healthy eating quiz scores were higher in those aged 45-75 years compared to 16-44 years (p < 0.001). When comparing Socioeconomic Indices for Areas deciles, those most disadvantaged had a lower total score than those least disadvantaged (p < 0.001). Repeat measures showed that those who scored lowest (needs work) in their first completion increased their total score by 3.2 ± 7.4 at their second completion (p < 0.001). While the Healthy Eating Quiz data indicates that individuals receiving feedback on how to improve their score can improve their diet quality, there is a need for further nutrition promotion interventions in Australian adults.

Utility of a brief index to measure diet quality of Australian preschoolers in the Feeding Healthy Food to Kids Randomised Controlled Trial

AIM

The aim was to evaluate the utility of a brief dietary intake assessment tool in measuring nutritional adequacy of preschoolers and differences in food and nutrient intake between quartiles stratified by overall diet quality.

METHODS

Dietary intakes of preschoolers (n = 146) from the Feeding Healthy Food to Kids trial were reported by parents/caregivers using a 120-item food frequency questionnaire (FFQ). Diet quality was assessed using the Australian Recommended Food Score for Preschoolers. Analyses were performed using Kruskal-Wallis one-way analysis of variance, adjusted for Type 1 error. Participants were grouped into quartiles by total food score for comparison of subscale scores, food groups and nutrient intakes from the FFQ.

RESULTS

Participants who scored less than the median total food score of 36 were more likely to have suboptimal micronutrient intakes. Median fruit (9 vs 5, P < 0.0001) and vegetable (14 vs 7, P < 0.0001) subscale scores for preschoolers in the highest quartile were significantly higher than the lowest quartile, indicating much greater fruit and vegetable variety. Statistically significant differences in diet quality score by quartiles (P < 0.05) were found for total energy and percentage energy from core foods, protein, fibre and 11 micronutrients.

CONCLUSIONS

The Australian Recommended Food Score for Preschoolers is a practical brief diet quality assessment tool to measure food variety and nutritional adequacy in Australian preschoolers. Stratifying children by baseline diet quality in future nutrition interventions is recommended in order to identify those who are likely to benefit or require more targeted approaches to address specific nutritional needs in order to optimise food and nutrient intakes.

Systematic review of diet quality indices and their associations with health-related outcomes in children and adolescents

BACKGROUND

Diet quality indices add an important dimension to dietary assessment. The aim of this systematic review was to: (i) identify and describe the attributes and applications of diet quality indices developed for use or used in paediatric populations; (ii) describe associations between these diet quality indices and health-related variables in paediatric populations; and (iii) identify factors that are associated with diet quality in paediatric populations worldwide.

METHODS

Studies were identified by searching electronic databases for relevant papers from 1980 to October 2013 using keywords. Inclusion criteria were original studies that utilised a quantitative measure of diet quality in children and adolescents aged 0-18 years.

RESULTS

One hundred and nineteen studies met the inclusion criteria, from which 80 different diet quality indices were identified. The majority of studies had >1000 participants and were of acceptable quality. Of the 56 studies that investigated health-related outcomes, weight status was the most researched. Europe produced the most number of diet quality indices (n = 27 indices). Of the 119 studies, seven intervention studies were identified. Paediatric diet quality indices were found to be associated with environmental, behavioural and maternal factors.

CONCLUSIONS

The use of diet quality indices in paediatric populations is a rapidly expanding area of research in diverse populations internationally. In economically disadvantaged countries, diet quality indices may be predictive of child growth. However, prospective cohort, intervention and validation studies are required to draw stronger conclusions concerning risk of future disease in paediatric populations in general.

Dietary energy density and diet variety as risk factors for relapse in anorexia nervosa: a replication

OBJECTIVE

To replicate our previous findings of an association between energy density and diet variety in recently weight-restored patients with anorexia nervosa (AN) and clinical outcome in the year following treatment.

METHOD

Nineteen hospitalized, weight-restored women with AN completed a food record, from which a diet energy density score (DEDS) and a diet variety score (DVS) were calculated. After hospital discharge, patients were contacted regularly; at the end of one year, clinical outcome was determined using modified Morgan-Russell criteria. As in our previous study, outcome was dichotomized into "full, good, or fair" and "poor" groups.

RESULTS

Data from 16 subjects were available. The DEDS was significantly lower (p < .05) in the poor outcome group (0.7 ± 1) compared with the "full, good, or fair" outcome group (0.9 ± 1). Although the DVS was also lower in the poor outcome group (13.9 ± 2) compared with the "full, good or fair" outcome group (15.7 ± 1.8), this difference was not statistically significant.

DISCUSSION

In recently weight-restored patients with AN, a lower DEDS, but not DVS, is associated with poor clinical outcome after inpatient treatment. This finding may be important in the assessment of risk for relapse in patients with AN.