Dr Megan Whatnall

Introduction: Many university students have poor mental health, and co-occurring health risk behaviors. Targeting health behavior change in this population may improve mental health outcomes. This scoping review describes the extent and range of randomized controlled trials (RCT) evaluating interventions targeting health risk behaviors and measuring a mental health outcome, among university students. Methods: Six electronic databases were searched for RCTs published until the 18th May 2021. Eligible RCTs included university students, evaluated interventions that promoted health behavior change (i.e., dietary intake, physical activity, sedentary behavior, alcohol and drug use, smoking, and sleep), and measured a mental health-related outcome. Results: Fifty-nine RCTs met the inclusion criteria that were published from 2000 to 2021, and over half (n = 33) were conducted in the United States. Interventions evaluated within the RCTs (n = 92) predominantly targeted changes to dietary intake (n = 41 interventions), physical activity (n = 39), or alcohol intake (n = 35). Most interventions targeted one (n = 51) or two (n = 27) health behaviors only. Included RCTs considered mental ill health outcomes (n = 24), psychological wellbeing outcomes (n = 20), or both (n = 15). Discussion: This scoping review identified a moderate volume of experimental research investigating the impact of health behavior interventions on university students' mental health. There is scope for further research examining health behavior interventions targeting university students, particularly interventions taking a multi-behavioral approach.

Aim: This rapid review of reviews aimed to determine the extent of research undertaken on the effectiveness of dietary interventions for individuals with a mental disorder. Methods: Three databases (MEDLINE, Embase, Cochrane Reviews and Cochrane Trials) were searched to February 2021 for systematic reviews including experimental studies assessing the effectiveness of dietary interventions with physical or mental health related outcomes in adults or children with one or more of: severe mental illness, depression or anxiety, eating disorders, or substance use disorder. Results are presented descriptively. Results: The number of included reviews was 46 (67% in severe mental illness, 20% in depression and anxiety, 7% in eating disorders, and 7% in substance use disorders). Most reviews were published since 2016 (59%), and included studies conducted in adults (63%). Interventions in the eating disorders and severe mental illness reviews were predominantly education and behaviour change, whereas interventions in the substance use disorders, and depression and anxiety reviews were predominantly supplementation (e.g. omega-3). Twenty-eight and twelve of the reviews respectively reported mental health and dietary outcomes for one or more included studies. Most reviews in severe mental illness, and depression and anxiety reported conclusions supporting the positive effects of dietary intervention, including positive effects on weight-related or mental health outcomes, and on mental health outcomes, respectively. Conclusions: A larger number of systematic reviews were identified which evaluated dietary interventions in individuals with severe mental illness, and depression and anxiety, compared with substance use disorders, and eating disorders. Dietary intervention is an important component of the treatment that should be available to individuals living with mental disorders, to support their physical and mental health.

Introduction Codesign is a meaningful end-user engagement in research design. The integrated knowledge translation (IKT) framework involves adopting a collaborative research approach to produce and apply knowledge to address real-world needs, resulting in useful and useable recommendations that will more likely be applied in policy and practice. In the field of food addiction (FA), there are limited treatment options that have been reported to show improvements in FA symptoms. Objectives The primary aim of this paper is to describe the step-by-step codesign and refinement of a complex intervention delivered via telehealth for adults with FA using an IKT approach. The secondary aim is to describe our intervention in detail according to the TIDieR checklist. Design This study applies the IKT process and describes the codesign and refinement of an intervention through a series of online meetings, workshops and interviews. Participants This study included researchers, clinicians, consumers and health professionals. Primary outcome measure The primary outcome was a refined intervention for use in adults with symptoms of FA for a research trial. Results A total of six female health professionals and five consumers (n=4 female) with lived overeating experience participated in two interviews lasting 60 min each. This process resulted in the identification of eight barriers and three facilitators to providing and receiving treatment for FA, eight components needed or missing from current treatments, telehealth as a feasible delivery platform, and refinement of key elements to ensure the intervention met the needs of both health professionals and possible patients. Conclusion Using an IKT approach allowed for a range of viewpoints and enabled multiple professions and disciplines to engage in a semiformalised way to bring expertise to formulate a possible intervention for FA. Mapping the intervention plan to the TIDieR checklist for complex interventions, allowed for detailed description of the intervention and the identification of a number of areas that needed to be refined before development of the finalised intervention protocol.

Aim: This scoping review aimed to explore the extent of the evidence of experimental studies evaluating the cost effectiveness of dietary interventions in individuals with mental disorders. Methods: Five databases (CINAHL, EMBASE, MEDLINE, PsycINFO and Scopus) were searched to October 2020 for cost-analysis studies of interventions aiming to improve dietary intake in people with mental disorders. No restriction was placed on participant age, mental disorder type or intervention design. Results are presented narratively. Results: Of 2753 articles identified, 13 articles reporting on eight studies were included. Studies were RCTs (n¿=¿5), cluster RCT (n¿=¿1), cluster preference RCT (n¿=¿1), and pre-post test (n¿=¿1). Seven studies were in community settings (eg, outpatient clinics), and one study in the community housing setting. All studies were in adults, seven included male and female participants, and one included only females. Defined mental disorder diagnoses included serious/severe mental disorders (n¿=¿3), major depression (n¿=¿2), schizophrenia, schizoaffective disorder or first-episode psychosis (n¿=¿1), any mental disorder (n¿=¿1), and bulimia nervosa (n¿=¿1). Five interventions were multi-behaviour, two were diet only and one was eating disorder treatment. Cost analyses included cost-utility (n¿=¿3), cost-effectiveness (n¿=¿1), cost-utility and cost-effectiveness (n¿=¿3), and a costing study (n¿=¿1). Two studies (25%) reported positive results in favour of cost effectiveness, and four studies reported a mix of positive and neutral results. Conclusions: There is limited evidence evaluating the cost effectiveness of dietary interventions in individuals with mental disorders. Additional studies in various settings are needed to confirm cost effectiveness of different interventions.

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.

University food environments are typically dominated by unhealthy food choices. The aim was to investigate associations between on-campus food purchasing behaviours and dietary intake in an Australian university student sample. An online cross-sectional survey was conducted in 2017¿2018 with students (n = 362, 71.0% female, mean age 27.5 ± 10.5 years) from the University of Newcastle, Australia. On-campus food purchasing behaviours (purchasing frequency and weekly expenditure), dietary intake (diet quality and percentage energy/day from energy-dense, nutrient-poor (EDNP) foods) and sociodemographic and student characteristics (e.g., time spent on campus) were measured. Linear regression was used to explore associations between food purchasing be-haviours and dietary intake, adjusted for potential confounders. Mean percentage energy/day from EDNP foods was 31.7 ± 14.4. Mean diet quality score was 32.6 ± 10.2 out of 73. Higher percentage energy/day from EDNP foods was associated with higher weekly expenditure (ß = 0.203, p < 0.001) and more frequent purchase (ß = 18.041, p < 0.001 for =4 times a week vs. never) of food/drinks on campus. Diet quality was not significantly associated with purchase frequency or expenditure (p > 0.05). Findings are supportive of changes being made to university food environments, as a strategy to improve dietary intake among university students.

University students have high rates of health risk behaviours, and these may be predictive of academic success. This cross-sectional study aimed to determine the association between individual and multiple health risk behaviours and academic achievement in a sample of Australian university students. Data from the University of Newcastle Student Healthy Lifestyle Survey 2019 were used. Health risk behaviours (diet, physical activity, sitting time, sleep, alcohol consumption, smoking) were assessed, and total number of risk factors calculated. Academic achievement was assessed using self-reported grade point average (GPA). The association between health risk behaviours and GPA was explored using linear regression, adjusted for socio-demographic and student characteristics. The sample included 1543 students (mean age 25.0 ± 7.9 years, 70.6% female). Lower GPA was associated with not meeting fruit consumption recommendations (ß = -0.203), consuming >1 cup of soft drink/week (ß = -0.307), having takeaway foods =1 time/week (ß = -0.130), not consuming breakfast daily (ß = -0.261), not meeting sleep recommendations (ß = -0.163), exceeding single occasion alcohol consumption risk (ß = -0.277), smoking (ß = -0.393), and having a higher number of risk factors (ß = -0.105). This study identified modest associations between GPA and health risk behaviours, suggesting that further research is warranted into whether strategies to improve university students¿ health could modestly improve their academic achievement.

Aim: This study aimed to explore clustering among individual eating behaviours in a sample of Australian university students, and explore associations between clustered eating behaviours and demographic characteristics. Methods: A cross-sectional analysis of data from the University of Newcastle (UON) Student Healthy Lifestyle Survey 2017 was conducted. Measures included eating behaviours (eg, vegetables, energy-dense nutrient poor [EDNP] food intakes) assessed using short diet questions, and demographic characteristics (eg, age, undergraduate/postgraduate student). Factor analysis was used to explore clustering of individual eating behaviours (ie, identify factors). Linear regression models were used to explore associations between eating behaviour factors identified and demographic characteristics. Results: A total of 3062 students (70% female; 56% aged 17-24 years) were included in the analysis. The six eating behaviour factors identified (characterised by higher consumption of the named foods/drinks) were; EDNP snack foods, meat and takeaway foods, fruit and vegetables, sugary drinks, breakfast, and breads and cereals. A higher fruit and vegetable factor score was associated with being female (P <.001), and a higher meat and takeaway foods factor score was associated with being male (P <.001) and of younger age (P <.001). Conclusions: Nutrient-rich foods clustered together and EDNP foods clustered together, that is, the identified factors represent either nutrient-rich or EDNP foods. Interventions in the university setting should target students with the poorest eating behaviours, including males and younger students.

Background: Unhealthy diets are typical of university students and the effects may be wider reaching than health. The present study aimed to describe the association between dietary intake and academic achievement in a sample of Australian university students. Methods: A cross-sectional analysis of data from an online survey of 278 students from the University of Newcastle (UON), Australia [mean (SD) age 26.9¿(10.5)¿years; 70.9% female] was conducted. Dietary intake, in terms of diet quality score [Australian Recommended Food Score (ARFS)], including individual sub-scales, and percentage energy per day from energy-dense nutrient poor (EDNP) foods, including individual sub-groups, was assessed using the validated Australian Eating Survey Food Frequency Questionnaire, and academic achievement was assessed as self-reported grade point average (GPA). The association between GPA and dietary intake was explored using linear regression, with adjustment for socio-demographic and student characteristics. Results: Higher GPA was associated with higher diet quality (ARFS) (ß¿=¿0.02, P¿=¿0.011), higher sub-scale scores for vegetables (ß¿=¿0.03, P¿=¿0.026) and fruit (ß¿=¿0.05, P¿=¿0.029) and with lower percentage energy per day from EDNP foods overall (ß¿=¿-0.01, P¿=¿0.047) and also from sweetened drinks (ß¿=¿-0.06, P¿<¿0.001). Conclusions: The results of the present study demonstrate small associations between a healthier dietary intake and higher academic achievement, as well as vice versa. Given that the associations were small, they may not be particularly meaningful. However, this evidence could be used as a motivator for efforts aiming to improve dietary intake among university students.

Objective: To describe and compare body composition and fat distribution of Australian women 18¿44 years from an urban and rural location. Design: Cross-sectional survey and collection of anthropometric and body composition measurements. Setting: Newcastle and Tamworth in New South Wales. Participants: Convenience sample of women recruited through media and community. Main outcome measures: Weight, height, waist and hip girths, visceral fat area, body fat (kg and %) and skeletal muscle mass. Results: Of the total sample (n = 254), 53% resided in an urban area and the mean age was 28.0 (7.6) years. The mean age of rural women was significantly higher than for urban women. The majority of women (66.5%) had a Body Mass Index within the healthy range (18.5¿24.9 kg m -2 ) and there was no significant difference in mean Body Mass Index between rural and urban women. Measures of central fat distribution, waist circumference and waist-to-hip ratio were significantly higher in rural residents. Visceral fat area was significantly higher among rural women. After adjustment for age, differences in waist circumference, waist-to-hip ratio and visceral fat area were no longer statistically significant. Conclusion: While we did not find statistically significant differences in body composition among urban and rural women, these results highlight the dramatic effect of age on measures of central adiposity. Population surveillance needs to incorporate measures of excess central adiposity, particularly visceral fat area, to better investigate changes in body composition among women in their 20s and 30s.

Brief interventions are effective in improving health behaviours including alcohol intake, however the effectiveness of brief interventions targeting nutrition outcomes has not been determined. The aim of this systematic review was to determine the effectiveness of brief nutrition interventions in adults. Seven databases were searched for RCT/pseudo RCT studies published in English to April 2016, and evaluating brief interventions (i.e. single point of contact) designed to promote change in eating behaviours in healthy adults (=18 years). Of 4849 articles identified, 45 studies met inclusion criteria. Most studies targeted fruit and/or vegetable intake (n = 21) or fat intake (n = 10), and few targeted diet quality (n = 2). Median follow-up was 3.5 months, with few studies (n = 4) measuring longer-term outcomes (=12 months). Studies aimed to determine whether a brief intervention was more effective than another brief intervention (n = 30), and/or more effective than no intervention (n = 20), with 17 and 11 studies, respectively, reporting findings to that effect. Interventions providing education plus tailored or instructional components (e.g. feedback) were more effective than education alone or non-tailored advice. This review suggests that brief interventions, which are tailored and instructional, can improve short-term dietary behaviours, however evidence for longer-term behaviour change maintenance is limited.