Evaluating Validated Diet Quality Indices Used in Pregnant Women in High-Income Countries: A Systematic Review.

CONTEXT: Diet quality indices (DQIs) assess the level of adherence to dietary recommendations and a specified dietary pattern in populations; however, there is limited evidence regarding the construct criteria and validation methodology of DQIs used in pregnant women. OBJECTIVES: The objectives of this study were to (i) identify and describe characteristics of DQIs that have been validated for use in pregnant women in high-income countries, and (ii) evaluate criteria used to develop DQIs and validation methodologies employed. DATA SOURCES: CINAHL, Embase, Medline, SCOPUS, and Web of Science were systematically searched for eligible articles published between 1980 and November 2022 that focused on DQIs validated for use in pregnant women from high-income countries. DATA EXTRACTION: Characteristics, development criteria, and validation methodologies used in the included articles were extracted by one reviewer and checked by a second reviewer. DATA ANALYSIS: A narrative synthesis and descriptive statistics were used to summarize the review findings. Reporting was guided by the Preferred Reporting Items for Systematic Reviews and Meta-analyses statement. RESULTS: Six articles with 5 validated DQIs were identified. In total, 3777 participants were included - five articles had pregnant women aged 31-50 years and in their second trimester. Food frequency questionnaires were used as the dietary assessment method in all studies, and 3 DQIs were used to assess dietary intake at 1 time point, using 2 different dietary assessment methods. No indices fulfilled preferred features for the DQI development criteria developed by Burggraf et al (2018). Construct validity was assessed by all DQIs, followed by criterion validity (n = 4) and test-retest reliability (n = 2). CONCLUSION: Limited high-quality validated DQIs for use in pregnant women in high-income countries were identified. Scoring for DQI components were not specific to nutrient requirements for pregnant women. Findings from this review may inform the development of DQIs that evaluate specific dietary requirements and specific food safety considerations applicable to pregnancy. SYSTEMATIC REVIEW REGISTRATION: https://osf.io/u2hrq.

Trends in Health-Risk Behaviors and Psychological Distress among Australian First-Year University Students.

University students are recognized as a high-risk population group who experience greater rates of poor health outcomes and mental ill-health. Commencing university is recognized as a major life transition, where students experience new financial, academic, environmental, and social pressures that can cause changes in their normal behaviors. This study explored trends in health-risk behaviors and psychological distress in commencing university students over four survey years. First-year undergraduate students, aged 17-24, from an Australian university were included. A secondary analysis was performed on data collected via cross-sectional surveys on four occasions (2016, 2017, 2019, 2020). Crude logistic regression models were utilized to investigate the association between meeting guidelines and survey year. Odds ratios for the pairwise comparison between each year are reported. In this analysis, 1300 (2016), 484 (2017), 456 (2019), and 571 (2020) students were included. Analyses showed two clear trends: students' probability of being at high/very high risk of psychological distress (35-55%) and consuming breakfast daily (44-55%) consistently worsened over the four survey years. These findings suggest that the odds of psychological distress and daily breakfast consumption worsened over time, whilst the proportion of students engaging in some health-risk behaviors was high, highlighting the importance of early intervention during the transition to university.

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

AIMS: 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. METHODS: 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. RESULTS: 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. CONCLUSIONS: 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.

Implementation of health and wellbeing policies and programs for students: Views of Australian universities.

ISSUE ADDRESSED: Universities are a crucial setting to address and promote optimal mental health of young Australians. However, there is a lack of knowledge of universities' views of current implementation of health and wellbeing initiatives. Therefore, we examined the views of Australian universities on the implementation of health and wellbeing policies and programs within Australian universities. METHODS: An online survey of Australian universities asked respondents to rate their level of agreement with five statements pertaining to the implementation of health and wellbeing policies and programs for students within Australian universities using a 5-point Likert scale (strongly agree to strongly disagree). RESULTS: Eleven universities completed the survey (28.2% response rate). All respondents (n = 11) agreed that universities play a crucial role in supporting the health and wellbeing of their students and report access to sufficient expertise to do this. Approximately three-quarters (8/11) agreed that universities know what policies and programs to implement to support their students' health and wellbeing. There was less agreement that universities have sufficient resources (2/11 agree) or access to sufficient information about the health and wellbeing of their student population (3/11 agree) to support the implementation of health and wellbeing policies and programs. CONCLUSIONS: Australian universities demonstrated strong organisational commitment to supporting the health and wellbeing of their students but highlighted some key barriers to implementation. SO WHAT?: Findings from this preliminary research highlight potential barriers and facilitators to the implementation of health and wellbeing policies and programs in Australian universities, and potential foci for future research.

Barriers and Facilitators to Cardiovascular Disease Prevention Following Hypertensive Disorders of Pregnancy in Primary Care: Cross-Sectional Surveys.

Women with a history of hypertensive disorders of pregnancy (HDP) have an increased risk of cardiovascular disease (CVD). Guidelines recommend that women diagnosed with HDP should be advised of their increased CVD risk, have regular blood pressure monitoring by their general practitioner (GP), and adopt healthy lifestyle behaviours. However, within Australia, the current practice in primary health care is unknown. The aim of this study was to describe current practices, barriers, and facilitators to the provision of CVD preventative services for women after HDP in the primary care setting and to identify potential strategies to support GPs in providing recommended care. Separate cross-sectional online surveys were undertaken with 35 GPs and 105 women with a history of HDP. Surveys included both closed- and open-ended questions. Closed-ended questions were analysed using basic descriptive statistics, and open-ended questions were themed and tallied. The survey of GPs revealed that GPs are more likely to assess traditional CVD risk markers than lifestyle risk factors or HDP history. GPs identified a lack of resources and skills as barriers to providing CVD preventative care post-HDP. The survey with women after HDP revealed that women with a history of HDP are more likely to be assessed for blood pressure than lifestyle CVD risk factors, and that the women's barriers to obtaining care included difficulty obtaining an appointment and time required for attending appointments. Strategies to improve CVD preventative care were consistent between surveys, where 70% of GPs and 59% of women chose 'increasing women's awareness of increased CVD risk' and 67% of GPs and 55% of women chose 'improving communication between hospitals and primary care' as their preferred strategies. While the findings suggest that women with a history of HDP are receiving advice consistent with guidelines for traditional CVD risk markers, such as blood pressure, they are less likely to receive CVD preventative care for lifestyle or female-specific CVD risk factors.

Changes in physical activity, diet, sleep, and mental well-being when starting university: A qualitative exploration of Australian student experiences.

Objective: To explore young adult's experiences of how starting university influenced their physical activity, diet, sleep, and mental well-being, and barriers and enablers to health behavior change. Participants: University students aged 18-25 years. Methods: Three focus groups were conducted in November 2019. Inductive thematic approach was utilized to identify themes. Results: Students (female: n = 13, male: n = 2, other gender identity: n = 1, 21.2 (1.6) years) reported mental well-being, physical activity levels, diet quality and sleep health were negatively affected. Stress, study demands, university timetabling, not prioritizing physical activity, cost and availability of healthy foods, and difficulty falling asleep were key barriers. Health behavior change interventions aiming to support mental well-being need to include both information and support features. Conclusions: There is a significant opportunity to improve the transition to university for young adults. Findings highlight areas to target in future interventions to improve physical activity, diet, and sleep of university students.

Are health behaviors associated with mental health among tertiary education students? A systematic review of cohort studies.

OBJECTIVE: To evaluate the association between health behaviors with mental health among tertiary education students. METHODS: Six databases were searched until September 2021 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking or illicit drug use) and mental health. Two independent reviewers screened records for inclusion, extracted data and completed risk of bias assessments. RESULTS: 33 studies were included (14 assessed sleep, 14 alcohol intake, 13 physical activity, 8 smoking, 6 sedentary behavior, 4 diet, 1 illicit drug use). A consistent association between poor sleep, and physical inactivity with increased risk of poor psychological wellbeing, and between poor sleep and increased mental ill-health related outcomes was demonstrated. CONCLUSION: Findings suggest interventions to address poor sleep and physical inactivity among students may positively impact mental health. Further research of other health behaviors, and their association with mental health, is required.

Efficacy of technology-based personalised feedback on diet quality in young Australian adults: results for the advice, ideas and motivation for my eating (Aim4Me) randomised controlled trial.

OBJECTIVE: Web-based dietary interventions could support healthy eating. The Advice, Ideas and Motivation for My Eating (Aim4Me) trial investigated the impact of three levels of personalised web-based dietary feedback on diet quality in young adults. Secondary aims were to investigate participant retention, engagement and satisfaction. DESIGN: Randomised controlled trial. SETTING: Web-based intervention for young adults living in Australia. PARTICIPANTS: 18-24-year-olds recruited across Australia were randomised to Group 1 (control: brief diet quality feedback), Group 2 (comprehensive feedback on nutritional adequacy + website nutrition resources) or Group 3 (30-min dietitian consultation + Group 2 elements). Australian Recommended Food Score (ARFS) was the primary outcome. The ARFS subscales and percentage energy from nutrient-rich foods (secondary outcomes) were analysed at 3, 6 and 12 months using generalised linear mixed models. Engagement was measured with usage statistics and satisfaction with a process evaluation questionnaire. RESULTS: Participants (n 1005, 85 % female, mean age 21·7 ± 2·0 years) were randomised to Group 1 (n 343), Group 2 (n 325) and Group 3 (n 337). Overall, 32 (3 %), 88 (9 %) and 141 (14 %) participants were retained at 3, 6 and 12 months, respectively. Only fifty-two participants (15 % of Group 3) completed the dietitian consultation. No significant group-by-time interactions were observed (P > 0·05). The proportion of participants who visited the thirteen website pages ranged from 0·6 % to 75 %. Half (Group 2 = 53 %, Group 3 = 52 %) of participants who completed the process evaluation (Group 2, n 111; Group 3, n 90) were satisfied with the programme. CONCLUSION: Recruiting and retaining young adults in web-based dietary interventions are challenging. Future research should consider ways to optimise these interventions, including co-design methods.

Modifiable Risk Factors for Cardiovascular Disease among Women with and without a History of Hypertensive Disorders of Pregnancy.

Cardiovascular disease (CVD) is the leading cause of morbidity and mortality in women. Hypertensive disorders of pregnancy (HDP) affect 5−10% of pregnancies worldwide, and are an independent risk factor for CVD. A greater understanding of the rates of modifiable CVD risk factors in women with a history of HDP can inform CVD prevention priorities in this group. The aim of this study was to understand the rates of individual and multiple modifiable risk factors for CVD (body mass index, fruit and vegetable intake, physical activity, sitting time, smoking, alcohol consumption and depressive symptoms) among women with a history of HDP, and assess whether they differ to women without a history of HDP. This study is a cross-sectional analysis of self-reported data collected for the Australian Longitudinal Study of Women's Health (ALSWH). The sample included 5820 women aged 32−37 years old, who completed survey 7 of the ALSWH in 2015. Women with a history of HDP had a higher multiple CVD modifiable risk factor score compared to those without HDP (mean (SD): 2.3 (1.4) vs. 2.0 (1.3); p < 0.01). HDP history was significantly associated with a higher body mass index (p < 0.01), high-risk alcohol consumption (p = 0.04) and more depressive symptoms (p < 0.01). Understanding that women with a history of HDP have higher CVD risk factors, specifically body mass index, alcohol consumption and depressive symptoms, allows clinicians to provide appropriate and tailored CVD interventions for this group of women.

How Can We Support Healthy Eating in Young Adults with Low Diet Quality? A Survey of Users of the 'No Money No Time' Healthy Eating Website.

Nutrition interventions to support young adults are needed due to low diet quality. The aims were to explore the (1) circumstances and (2) barriers regarding dietary habits of the young adult users of the No Money No Time (NMNT) healthy eating website with the lowest diet quality scores. An online cross-sectional survey was conducted from August-September 2022 with a sample of NMNT users aged 18-35 years with low diet quality (defined as Healthy Eating Quiz score 0-38/73). The survey included demographics (e.g., gender), circumstances (6-item US Food Security Survey, Cooking and Food Skills Confidence Measures), and challenges and resources used in relation to healthy eating (open-responses). Theoretical thematic analysis was used to analyse open-response questions and derive main themes. The study sample (n = 108; 71.3% female, median age 28; 28.7% food insecure) had a mean (standard deviation) Cooking Skills score 70.2 (17.5)/98, and median (interquartile range) Food Skills score 96.0 (83.5-107.5)/133. The main challenges regarding healthy eating were (1) time and (2) cost, and the main resources to support healthy eating were (1) online resources (e.g., websites, Google) and (2) recipes. Findings identify possible targets for future interventions to support healthy eating in this vulnerable group (e.g., supporting cooking and food skills).

Health behavior interventions for university students measuring mental health outcomes: A scoping review.

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.

Primary and secondary cardiovascular disease prevention interventions targeting lifestyle risk factors in women: A systematic review and meta-analysis.

Background and aims: Over seven million women die from cardiovascular disease (CVD) annually. While lifestyle modification is recommended for CVD prevention, there are no systematic reviews evaluating the effectiveness of interventions targeted to women. The primary aim of this systematic review is to determine the efficacy of primary and secondary CVD prevention interventions targeting lifestyle risk factors in women. Methods: Six electronic databases were searched up to January 2022. Eligible studies included randomized controlled trials of primary or secondary CVD prevention interventions targeting CVD lifestyle risk factors (diet, physical activity, sedentary behavior, smoking, alcohol, sleep, and weight management) in women (≥18 years) that reported CVD risk markers or lifestyle risk factors. Meta-analyses were conducted on CVD risk markers and body mass index (BMI), and the level of evidence was applied to the GRADE (Grading of Recommendations Assessment, Development and Evaluation) criteria and reported. Results: Thirty-five RCTs were included (24 primary and 11 secondary prevention). Meta-analyses demonstrated that lifestyle CVD prevention interventions achieved statistically significant reductions in BMI at ≤ 6 months (0.95 kg/m2, 95% CI = 0.54 to 1.35, p < 0.0001), 12 months (0.61 kg/m2, 95% CI = 0.07 to 1.16, p = 0.03) and >12 months (0.58 kg/m2, 95% CI = 0.01 to 1.16, p = 0.05), and systolic blood pressure (mmHg) at ≤ 6 months (3.51, p < 0.001). Conclusions: Lifestyle interventions are important for the prevention of CVD in women, specifically to reduce systolic blood pressure in the short term (≤ 6 months) and BMI long term (>12 months). Systematic review registration: https://osf.io/bkwqm, identifier: osf-registrations-bkwqm-v1.

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.

Are health behaviors associated with academic performance among tertiary education students? A systematic review of cohort studies.

OBJECTIVE: To evaluate the association between health behaviors with academic performance among tertiary education students. METHODS: Six databases were searched until July 2020 for prospective cohort studies evaluating the association between health behavior(s) (dietary intake, physical activity, sedentary behavior, alcohol intake, sleep, smoking or illicit drug use) and academic performance. RESULTS: Thirty-four studies were included (18 assessed sleep, 16 alcohol intake, 12 illicit drug use, 10 physical activity, 8 diet, 4 smoking, 2 sedentary behavior). A consistent negative association with academic performance was demonstrated for sleep (12/18 studies), alcohol intake (13/16) and illicit drug use (9/12). Most (7/10) studies found no association between physical activity and academic performance. CONCLUSION: Findings suggest interventions to mitigate the influence of poor sleep, high alcohol intake, and illicit drug use on academic performance may be needed. Further research of other health behaviors, along with their co-occurrence, with academic performance, is required.

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

OBJECTIVE: To investigate associations between eating behavior constructs (social eating, perceived competence, habit automaticity, self-determined motivation) and diet quality among young adults. DESIGN: Cross-sectional analysis. PARTICIPANTS: Young 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 MEASURES: Four 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. ANALYSIS: Multivariate linear regression investigating associations between eating behavior measures (independent variables) and ARFS and EDNP foods (dependent variables), adjusting for sociodemographic and lifestyle confounders. RESULTS: Greater 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 IMPLICATIONS: Perceived 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.

Evaluation of a Type 2 diabetes risk reduction online program for women with recent gestational diabetes: a randomised trial.

BACKGROUND: To evaluate the preliminary efficacy, feasibility and acceptability of the 3-month Body Balance Beyond (BBB) online program among Australian women with overweight/obesity and recent gestational diabetes mellitus. METHODS: Women were randomised into either: 1) High Personalisation (HP) (access to 'BBB' website, video coaching sessions, text message support); 2) Medium Personalisation (MP) (website and text message support); or 3) Low Personalisation (LP) (website only). Generalised linear mixed models were used to evaluate preliminary efficacy, weight, diet quality, physical activity levels, self-efficacy and quality of life (QoL) at baseline and 3-months. Feasibility was assessed by recruitment and retention metrics and acceptability determined via online process evaluation survey at 3-months. RESULTS: Eighty three women were randomised, with 76 completing the study. Self-efficacy scores showed significant improvements in confidence to resist eating in a variety of situations from baseline to 3-months in HP compared to MP and LP groups (P=.03). The difference in mean QoL scores favoured the HP compared to MP and LP groups (P=.03). Half of the women (HP n=17[81%], MP n=12[75%], LP n=9[56%]) lost weight at 3-months. No significant group-by-time effect were reported for other outcomes. Two-thirds of women in the HP group were satisfied with the program overall and 86% would recommend it to others, compared with 25% and 44% in the MP group, and 14% and 36% in the LP group, respectively. CONCLUSIONS: Video coaching sessions were associated with improvements in QoL scores and self-efficacy, however further refinement of the BBB website and text messages support could improve program acceptability. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry (ANZCTR): ACTRN12619000162112 , registered 5 February 2019.

Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders.

Cardiovascular disease, especially coronary heart disease and cerebrovascular disease, is a leading cause of mortality and morbidity in women globally. The development of cardiometabolic conditions in pregnancy, such as gestational diabetes mellitus and hypertensive disorders of pregnancy, portend an increased risk of future cardiovascular disease in women. Pregnancy therefore represents a unique opportunity to detect and manage risk factors, prior to the development of cardiovascular sequelae. Risk prediction models for gestational diabetes mellitus and hypertensive disorders of pregnancy can help identify at-risk women in early pregnancy, allowing timely intervention to mitigate both short- and long-term adverse outcomes. In this narrative review, we outline the shared pathophysiological pathways for gestational diabetes mellitus and hypertensive disorders of pregnancy, summarise contemporary risk prediction models and candidate predictors for these conditions, and discuss the utility of these models in clinical application.

Do modifiable risk factors for cardiovascular disease post-pregnancy influence the association between hypertensive disorders of pregnancy and cardiovascular health outcomes? A systematic review of observational studies.

Hypertensive disorders of pregnancy (HDP) are associated with increased risk of developing cardiovascular disease (CVD) in later life. This systematic review aimed to evaluate the impact of modifiable risk factors for CVD following pregnancy on the relationship between HDP and cardiovascular health outcomes. Seven databases (Medline, CENTRAL, CINAHL, Cochrane Reviews, Embase, PsycINFO and Scopus) were searched from date of inception to July 24, 2019. Observational studies that included female adults with a history of HDP and analysed whether modifiable risk factors for CVD following pregnancy (dietary intake, physical activity, smoking status, alcohol intake, body weight and mental health status) influenced associations between HDP and cardiovascular health outcomes (morbidity, mortality or related risk markers) were eligible for inclusion. In total, 4704 articles were identified, with 11 studies included. The modifiable risk factors measured included body weight (11 studies), physical activity and dietary intake (one study) and smoking (one study). Overall, five of seven studies provided convincing evidence that the relationship between HDP and blood pressure was adversely impacted by excess body weight post-pregnancy. The current systematic review provides evidence that excess body weight post-pregnancy impacts associations between HDP and hypertension in later life. However, there is a lack of evidence exploring the impact of a variety of modifiable risk factors for CVD on associations between HDP and cardiovascular health outcomes. This evidence is imperative to inform development of effective CVD prevention interventions for women with a history of HDP.

On-campus food purchasing behaviours and satisfaction of Australian university students.

ISSUE ADDRESSED: Many university students have unhealthy dietary intake. The food environment on university campuses is a potentially important contributor to students' diet. This study aimed to describe on-campus food purchasing behaviours; satisfaction with the cost and availability of foods and beverages on-campus; and preferences for the on-campus food environment, in a sample of Australian university students. METHODS: An online cross-sectional survey of 409 students at the University of Newcastle, Australia was conducted in 2017-2018. The survey assessed on-campus purchasing behaviours (frequency of purchase and expenditure), satisfaction with the cost and availability of foods, preferences for the on-campus food environment, and socio-demographics (eg age, domestic/international student). Results are reported as basic descriptive statistics. RESULTS: The majority of students (94%) purchased food or beverages on-campus, with 59% purchasing at least once per week. Satisfaction with the availability of foods was low (35.8% satisfied with the types of main meals available, and 48.5% for snacks); however, 72.8% were satisfied with types of beverages available. The majority of students were not satisfied with the cost of food and beverages (<40%). The top-rated preferences for changes to the on-campus food environment were healthier options, higher quality food, and cheaper food. CONCLUSION: Overall, the findings demonstrate strong support from students for healthier and cheaper food to be made available on-campus. SO WHAT?: There are two main factors of concern with regard to university food environments; the healthiness of food and beverage options and their cost. These should be key considerations of any future strategies aiming to improve university food environments.

E-&mHealth interventions targeting nutrition, physical activity, sedentary behavior, and/or obesity among children: A scoping review of systematic reviews and meta-analyses.

Childhood obesity is a public health concern. Electronic and mobile health (e-&mHealth) approaches can facilitate the delivery of interventions for obesity prevention and treatment. Synthesizing reviews of e-&mHealth interventions to improve weight and weight-related behaviors (physical activity, sedentary behavior, and diet) is useful to characterize the current scope of the literature and identify opportunities for future reviews and studies. Using a scoping review methodology, we aimed to evaluate the breadth and methodological quality of systematic reviews and meta-analyses of e-&mHealth interventions targeting weight and weight-related behaviors in children and adolescents aged <19 years. A systematic search of seven databases was conducted, including reviews published between 2000 and 2019. Review characteristics were extracted, and methodological quality was assessed using the AMSTAR 2 tool. Forty-five systematic reviews and meta-analyses were included. All reviews evaluated intervention efficacy (100%), but few assessed other aspects (20% in total) such as cost-effectiveness. Smartphone applications (47%), text messages (44%), and websites (35%) were the main modalities. Weight (60%), physical activity (51%), and diet (44%) were frequently assessed, unlike sedentary behavior (8%). Most reviews were rated as having critically low or low methodological quality (97%). Reviews that identify the effective active ingredients of interventions and explore metrics beyond efficacy are recommended.