Evaluation of the population-level impacts of the LiveLighter® obesity prevention campaign from 2012 to 2019 based on serial cross-sectional surveys.

BACKGROUND: Halting and reversing the upward trend in obesity requires sustained implementation of comprehensive, evidence-based strategies at the population-level. The LiveLighter® program targets adults using a range of public education strategies, including mass media campaigns, to support healthy lifestyle changes to attain or maintain a healthy weight and reduce the risk of chronic disease. LiveLighter® has been implemented in Western Australia (WA) since 2012 and, to our knowledge, includes the longest running adult-targeted mass media campaign for healthy weight and lifestyle promotion and education globally. This evaluation assessed the impact of LiveLighter® on WA adults' knowledge, intentions and behaviours as they relate to healthy eating and body weight from 2012 to 2019. METHODS: LiveLighter® mass media campaigns, which are TV-led and aired statewide, depict genuine, graphic imagery of visceral fat around internal organs to raise awareness about the link between excess body weight and chronic diseases; demonstrate how unhealthy food and drink consumption can contribute to unhealthy weight gain; and recommend healthy alternatives. Cross-sectional telephone surveys were conducted at baseline and following each campaign phase with an independent, randomly selected sample of WA adults aged 25 to 49 years (n = 501 to n = 1504 per survey) to assess their knowledge of the link between excess body weight and chronic diseases, and their intentions and behaviours related to healthy eating and weight. Multivariable logistic regression models were undertaken to assess differences in responses between baseline and each post-campaign survey. RESULTS: Compared to baseline, there were significant increases in the proportion of respondents reporting knowledge of excess body weight as a risk factor for certain cancers and type 2 diabetes, intentions to eat more fruit and vegetables and drink less sugar sweetened beverages (SSBs) in the next seven days, and the proportion of respondents who reported meeting guidelines for daily vegetable intake. Reported consumption of SSBs significantly decreased. CONCLUSIONS: LiveLighter® is associated with improvements in knowledge of the health risks associated with excess body mass, increased vegetable intake and reduced SSB consumption in WA adults. These findings support the use of sustained, well-designed healthy lifestyle promotion and education programs as part of a comprehensive obesity prevention strategy.

Public support for obesity prevention policies in Western Australia from 2012 to 2020: Findings from cross-sectional surveys.

ISSUE ADDRESSED: This study explored trends in public support for obesity prevention policies in Western Australia (WA). METHODS: A series of cross-sectional surveys of a representative sample of WA adults aged 25-49 years (N = 11 534) were undertaken between 2012 and 2020 as part of an evaluation of the LiveLighter® mass media campaign, a component of a statewide healthy lifestyle education and promotion programme. Computer-assisted telephone interviews were used to gauge support for a range of obesity prevention initiatives that could be implemented by government. RESULTS: A majority of respondents supported a range of obesity prevention policies, including taxes on sugary drinks, urban planning regulations, food labelling and packaging regulations, restrictions on advertising and sponsorship, bans on the sale and marketing of unhealthy food and drink in retail environments and support for education and campaigns. Obesity prevention policies were highly supported by women, people with a healthy weight, and those who had completed secondary school. Support for regulation was high compared to other studies. Notably, there were significant increases in support between baseline and 2020 for 'taxing soft drinks and using the money to reduce the cost of healthy food' (72% cf. 80%) and 'restricting junk food promotions/advertisements on public transport' (73% cf. 83%). CONCLUSIONS: There is substantial public support for regulatory action on obesity prevention in WA, providing strong rationale for government interventions to improve nutrition and reduce obesity. The LiveLighter® programme may have contributed to increases in support for obesity prevention policies in WA. SO WHAT?: There is potential to implement robust obesity prevention policies in WA.

The community food environment and its association with diet, health or weight status in Australia: A systematic review with recommendations for future research.

ISSUE ADDRESSED: This study systematically reviewed Australian literature to determine if an association exists between geospatial exposure to food outlets and diet, health or weight status. Recommendations for future research are provided. METHODS: A systematic literature search was conducted in December 2021 using CINAHL Plus, PubMed and Web of Science databases. Data were extracted, as per the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Study quality was assessed using an eight-item checklist. A descriptive synthesis of study characteristics and findings was carried out, stratified via study outcomes. RESULTS: Of the 36 included articles, the majority were from Victoria (n = 19), involving adult participants (n = 30) and cross-sectional in design (n = 27). Overall, associations were mainly null (nonsignificant) for diet (80%), weight status (75%) and health outcomes (90%). Significant findings were mixed with no positive trend with study quality. CONCLUSIONS: Six recommendations are suggested to address current knowledge gaps and limitations in the Australian evidence base: (1) Conduct research on different populations; (2) Employ robust study designs that can test the impact of change over time; (3) Improve the accuracy of food outlet data sources; (4) Improve food outlet geospatial exposure measures; (5) Improve measurement of outcome variables; and (6) Incorporate theoretical models into study design and data analysis. SO WHAT?: Improving the quality and consistency of research will be critical to informing locally relevant policy. Despite the present limitations in the evidence base, it is reasonable to assume that decisions to purchase and consume food are driven by availability and access. Thus, policy and planning aimed at improving the overall "healthiness" of the community food environment by increasing access to healthy food outlets is warranted to ensure that healthy options are easier choice for all.

Associations Between Dietary Patterns and Incident Type 2 Diabetes: Prospective Cohort Study of 120,343 UK Biobank Participants.

OBJECTIVE: To identify dietary patterns (DPs) characterized by a set of nutrients of concern and their association with incident type 2 diabetes (T2D). RESEARCH DESIGN AND METHODS: A total of 120,343 participants from the U.K. Biobank study with at least two 24 h dietary assessments were studied. Reduced rank regression was used to derive DPs explaining variability in energy density, free sugars, saturated fat, and fiber intakes. We investigated prospective associations with T2D using Cox proportional hazard models. RESULTS: Over 8.4 years of follow-up from the latest dietary assessment, 2,878 participants developed T2D. Two DPs were identified that jointly explained a total of 63% variation in four nutrients. DP1 was characterized by high intakes of chocolate and confectionery, butter, low-fiber bread, and sugars and preserves, and low intakes of fruits and vegetables. DP1 was linearly associated with T2D in multivariable models without BMI adjustment (per z score, hazard ratio [HR] 1.11 [95% CI 1.08-1.14]) and after BMI adjustment (HR 1.09 [95% CI 1.06-1.12]). DP2 was characterized by high intakes of sugar-sweetened beverages, fruit juice, table sugars and preserves, and low intakes of high-fat cheese and butter, but showed no clear association with T2D. There were significant interactions between both DPs and age, with increased risks among younger people in DP1 (HR 1.13 [95% CI 1.09-1.18]) and DP2 (HR 1.10 [95% CI 1.05-1.15]), as well as with DP1 and BMI, with increased risks among people with obesity (HR 1.11 [95% CI 1.07-1.16]). CONCLUSIONS: A DP characterized by high intakes of chocolate and confectionery, butter, low-fiber bread, and added sugars, and low in fresh fruits and vegetables intake is associated with a higher incidence of T2D, particularly among younger people and those with obesity.

Prospective Associations of Sugar-Sweetened Beverage Consumption During Adolescence with Body Composition and Bone Mass at Early Adulthood.

BACKGROUND: Adolescents have a higher consumption of sugar-sweetened beverages (SSBs) than other age groups, but little is known of the impact of SSB intake during adolescence on body composition and bone mass in early adulthood. OBJECTIVES: Associations of SSB intake from 14 to 20 y with fat, lean, and bone mass at 20 y of age were evaluated. METHODS: Study participants were 1137 offspring (562 females) from the Raine Study. Food intake, including SSB consumption in servings/d (1 serving = 250 mL), was estimated using FFQs at 14, 17, and 20 y of age. DXA scanning at 20 y measured whole body fat mass, lean mass, and bone mineral content (BMC). Using latent class growth analysis, 4 SSB intake trajectory classes were identified: consistently low (n = 540, intakes mostly <0.5 serving/d), increasing (n = 65), decreasing (n = 258), and consistently high (n = 274, intakes mostly >1.3 servings/d). RESULTS: Median total SSB intake was 0.8, 0.7, and 0.5 serving/d, and median carbonated SSB intake was 0.3, 0.3, and 0.4 serving/d at 14, 17, and 20 y, respectively. Mean ± SD BMI (in kg/m2) was 23.9 ± 4.2 at 20 y. After adjustment for covariates including sex, demographic, energy intake, and maternal factors, individuals with "consistently high" SSB consumption had significantly higher total body fat mass at 20 y than those with "consistently low" consumption (23.3 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.004), which remained significant after further adjustment for "Healthy" and "Western" dietary patterns (23.2 ± 0.6 compared with 21.2 ± 0.4 kg, P = 0.011). No significant associations were observed between SSB intake trajectory classes and lean body mass or BMC at 20 y. CONCLUSIONS: In this cohort, consistently higher consumption of SSBs in adolescence and early adulthood are associated with increased fat mass but not with bone mass at 20 y of age.

Dietary patterns acquired in early life are associated with cardiometabolic markers at school age.

BACKGROUND & AIMS: it has previously been described that dietary patterns established early in life tracked to late childhood. The aim of the present work was to analyse the association of dietary patterns that tracked from 2 to 8y with cardiometabolic markers at 8y of age. METHODS: The 3 identified patterns at 2y (that previous analyses showed to track to age 8y) were: "CoreDP", loaded for vegetables, fruits, fish, olive oil, etc.; "F&SDP", loaded by poor-quality fats and sugars; and "ProteinDP", mainly loaded by animal protein sources. Cardiometabolic markers at 8y were systolic blood pressure (SBP), insulin resistance (HOMA-IR), and triglycerides, and BMI z-score. To examine whether the association of diet with the outcomes was the result of a direct effect of diet at either two or 8y, or synergy between them, we used structural equation models. RESULTS: the associations between the patterns and the health outcomes were: CoreDP was inversely associated with SBP and HOMA-IR; ProteinDP was directly associated with HOMA-IR and SBP; and adherence to F&SDP was directly associated with triglycerides and SBP. The associations between the patterns and the health outcomes were independent of BMI and were the result of a direct effect of diet at 2y, an indirect effect of diet at 2y through diet at 8y or a combination between both pathways. CONCLUSION: dietary patterns acquired in early life, persisting to later childhood, were associated with cardiometabolic markers at school age independently of BMI.

Associations between dietary patterns and the incidence of total and fatal cardiovascular disease and all-cause mortality in 116,806 individuals from the UK Biobank: a prospective cohort study.

BACKGROUND: Traditionally, studies investigating diet and health associations have focused on single nutrients. However, key nutrients co-exist in many common foods, and studies focusing solely on individual nutrients may obscure their combined effects on cardiovascular disease (CVD) and all-cause mortality. We aimed to identify food-based dietary patterns which operate through excess energy intake and explain high variability in energy density, free sugars, saturated fat, and fiber intakes and to investigate their association with total and fatal CVD and all-cause mortality. METHODS: Detailed dietary data was collected using a 24-h online dietary assessment on two or more occasions (n = 116,806). We used reduced rank regression to derive dietary patterns explaining the maximum variance. Multivariable Cox-proportional hazards models were used to investigate prospective associations with all-cause mortality and fatal and non-fatal CVD. RESULTS: Over an average of 4.9 years of follow-up, 4245 cases of total CVD, 838 cases of fatal CVD, and 3629 cases of all-cause mortality occurred. Two dietary patterns were retained that jointly explained 63% of variation in energy density, free sugars, saturated fat, and fiber intakes in total. The main dietary pattern was characterized by high intakes of chocolate and confectionery, butter and low-fiber bread, and low intakes of fresh fruit and vegetables. There was a positive linear association between the dietary pattern and total CVD [hazard ratio (HR) per z-score 1.07, 95% confidence interval (CI) 1.04-1.09; HRtotal CVD 1.40, 95% CI 1.31-1.50, and HRall-cause mortality 1.37, 95% CI 1.27-1.47 in highest quintile]. A second dietary pattern was characterized by a higher intakes of sugar-sweetened beverages, fruit juice, and table sugar/preserves. There was a non-linear association with total CVD risk and all-cause mortality, with increased risk in the highest quintile [HRtotal CVD 1.14, 95% CI 1.07-1.22; HRall-cause mortality 1.11, 95% CI 1.03-1.19]. CONCLUSIONS: We identified dietary patterns which are associated with increased risk of CVD and all-cause mortality. These results help identify specific foods and beverages which are major contributors to unhealthy dietary patterns and provide evidence to underpin food-based dietary advice to reduce health risks.

Energy drink intake is associated with insomnia and decreased daytime functioning in young adult females.

OBJECTIVE: To investigate the association between energy drink (ED) use and sleep-related disturbances in a population-based sample of young adults from the Raine Study. DESIGN: Analysis of cross-sectional data obtained from self-administered questionnaires to assess ED use and sleep disturbance (Epworth Sleepiness Scale, Functional Outcomes of Sleep Questionnaire (FOSQ-10) and the Pittsburgh Sleep Symptoms Questionnaire-Insomnia (PSSQ-I)). Regression modelling was used to estimate the effect of ED use on sleep disturbances. All models adjusted for various potential confounders. SETTING: Western Australia. PARTICIPANTS: Males and females, aged 22 years, from Raine Study Gen2-22 year follow-up. RESULTS: Of the 1115 participants, 66 % were never/rare users (i.e. once/month to

Dietary pattern trajectories across adolescence and early adulthood and their associations with childhood and parental factors.

BACKGROUND: Although adolescent dietary patterns tend to be of poor quality, it is unclear whether dietary patterns established in adolescence persist into adulthood. OBJECTIVES: We examined trajectories across adolescence and early adulthood for 2 major dietary patterns and their associations with childhood and parental factors. METHODS: Using data from the Western Australian Pregnancy Cohort (Raine Study), intakes of 38 food groups were estimated at ages 14, 17, 20 and 22 y in 1414 participants using evaluated FFQs. Using factor analysis, 2 major dietary patterns (healthy and Western) were consistently identified across follow-ups. Sex-specific group-based modeling assessed the variation in individual dietary pattern z scores to identify group trajectories for each pattern between ages 14 and 22 y and to assess their associations with childhood and parental factors. RESULTS: Two major trajectory groups were identified for each pattern. Between ages 14 and 22 y, a majority of the cohort (70% males, 73% females) formed a trajectory group with consistently low z scores for the healthy dietary pattern. The remainder had trajectories showing either declining (27% females) or reasonably consistent healthy dietary pattern z scores (30% males). For the Western dietary pattern, the majority formed trajectories with reasonably consistent average scores (79% males, 81% females) or low scores that declined over time. However, 21% of males had a trajectory of steady, marked increases in Western dietary pattern scores over time. A lower maternal education and higher BMI (in kg/m2) were positively associated with consistently lower scores of the healthy dietary pattern. Lower family income, family functioning score, maternal age, and being in a single-parent family were positively related to higher scores of the Western dietary pattern. CONCLUSIONS: Poor dietary patterns established in adolescence are likely to track into early adulthood, particularly in males. This study highlights the transition between adolescence and early adulthood as a critical period and the populations that could benefit from dietary interventions.

Do Changes in the Local Food Environment Within New Residential Developments Influence the Diets of Residents? Longitudinal Results from RESIDE.

Background: There is limited longitudinal evidence supporting a link between food outlet locations and dietary outcomes to inform policy and urban planning. This study examined how longitudinal changes in the local food environment within new residential developments influenced changes in adult dietary intake. Methods: Adult participant data (n = 3223 person-observations) were sourced from the RESIDential Environments (RESIDE) project across three time points between 2004 to 2012 in Perth, Western Australia. Fixed effects regression estimated the relationship between change in spatial exposure to the local food environment, individual behaviours and perceptions of the local food environment with dietary outcome variables (healthy diet score, unhealthy diet score, diet quality score and fruit/vegetable intake). Results: An increase over time in the percentage of healthy food outlets around the home was significantly (p ≤ 0.05) associated with an increase in healthy diet scores and an increase in the distance from home to the nearest café restaurant was significantly (p ≤ 0.05) associated with an increase in diet quality scores. Conclusions: Modifying the local food environment by increasing the relative proportion of healthy food outlets around the home may support healthier dietary intake.

Energy drink intake and metabolic syndrome: A prospective investigation in young adults.

BACKGROUND AND AIMS: There are concerns that energy drinks (EDs) are contributing to upward trends in overweight, obesity, and cardiometabolic conditions in young people. We investigated cross-sectional and prospective associations between frequency of ED-intake in young-adults and (i) body mass index (BMI) and (ii) Metabolic Syndrome (MetS) and its components. METHODS AND RESULTS: Participants from the Raine Study at 20-years (n = 1236) and 22 years (n = 1117) self-reported ED-intake, dietary intake, and physical activity, and had blood and anthropometric measures taken. Regression modelling examined associations between ED-intake and BMI, MetS and its components. There was a positive, but not significant, cross-sectional association with BMI and likelihood of MetS with frequent ED use at 20-years (BMI: ß = 0.19; MetS: OR = 1.11) and 22-years (BMI: ß = 0.51; MetS: OR = 1.28). There were no associations in the prospective analysis. After adjustment, significant associations existed between occasional ED-intake and lower HDL-cholesterol (ß = -0.07) and higher fasting triglycerides (ß = 0.16) at 20-years, and lower fasting triglycerides at 22-years (ß = -0.10), but no significant associations in the prospective analyses. CONCLUSION: No significant associations existed between frequency of ED-intake, and BMI, MetS or its individual components over two years (ages 20-22 years). Future studies should include volume of EDs consumed and longer follow-up.

The influence of the local food environment on diet following residential relocation: longitudinal results from RESIDential Environments (RESIDE).

OBJECTIVE: To examine the associations of changes in the local food environment, individual behaviours and perceptions with changes in dietary intake, following relocation from an established neighbourhood to a new residential development. DESIGN: Spatial food environment exposure measures were generated relative to each participant's home address using the locations of food outlets at baseline (before moving house) and follow-up (1-2 years after relocation). Self-reported data on socio-demographics, self-selection, usual dietary intake, individual behaviours and perceptions of the local food environment were sourced from the RESIDential Environments (RESIDE) Project. Changes in spatial exposure measures, individual behaviours and perceptions with changes in dietary outcomes were examined using mixed linear models. SETTING: Perth, Western Australia, 2003-2007. PARTICIPANTS: Adults (n 1200) from the RESIDE Project. RESULTS: Moving to a new residential development with more convenience stores and café restaurants around the home was significantly associated with an increase in unhealthy food intake (ß = 0·049, 95 % CI 0·010, 0·089; ß = 0·020, 95 % CI 0·007, 0·033) and was partially mediated by individual behaviours and perceptions. A greater percentage of healthy food outlets around the home following relocation was significantly associated with an increase in healthy food (ß = 0·003, 95 % CI 0·001, 0·005) and fruit/vegetable intake (ß = 0·002, 95 % CI 0·001, 0·004). CONCLUSIONS: Policy and planning may influence dietary intakes by restricting the number of convenience stores and other unhealthy food outlets and increasing the relative percentage of healthy food outlets.

Modelling the Effects of Beverage Substitution during Adolescence on Later Obesity Outcomes in Early Adulthood: Results from the Raine Study.

High sugar-sweetened beverage (SSB) consumption has been linked with obesity. The present study examined the associations between adolescent SSB intake and body mass index (BMI), waist circumference (WC), and overweight status in early adulthood, and modelled the association of alternative beverage substitution with BMI and WC. Data of offspring from the Western Australian Pregnancy Cohort (Raine) Study at ages 14 and 22 years were used (n = 667). SSB intake at 14 years (100 g/day) was associated with higher BMI (ß = 0.19 kg/m2, 95% CI 0.04, 0.33), WC (ß = 0.41cm, 95% CI 0.04, 0.78), and being overweight at 22 years (OR 1.10, 95% CI 1.02, 1.18). Every 100g modelled substitution of SSB with milk at age 14 years was associated with lower BMI (-0.19 kg/m2) and WC (-0.52 cm) at age 22 years. Replacement of SSB with diet drink was associated with higher BMI and WC. No association was found for substitutions of SSB with water, tea/coffee, or 100% fruit juice with BMI or WC. SSB intake during adolescence was associated with higher BMI, WC, and being overweight in early adulthood. Milk as an alternative to SSB was associated with less adiposity. Caution is necessary in recommending diet drinks as a SSB alternative.

The evolution of local food environments within established neighbourhoods and new developments in Perth, Western Australia.

Temporal changes in the location of food outlets can result in disparities in the availability and access of food across geographic areas, contributing to health inequalities. This study used mixed linear models to investigate how the location of food outlets around the home evolved over time with respect to area-level socio-economic status (SES) and urban design within established neighbourhoods and new residential developments. Food outlet data (supermarket/greengrocers, convenience stores, café restaurants and takeaway/fast food) were sourced from commercial database listings (SENSIS Pty. Ltd.) in 2004, 2006, 2007, and 2011. Using 2468 addresses from the RESIDential Environments Project (RESIDE), in Perth, Western Australia (WA), a count of each food outlet type and percentage of healthy food outlets within a 1.6 km road network buffer around the home, along with the road network distance to nearest food outlet were generated relative to each address at each time point. Proximity to and count of all food outlets increased over time in both new developments and established neighbourhoods. However, unhealthy food outlets were always in greater numbers and proximity to the home. The percentage of healthy food outlets was significantly greater in established neighbourhoods compared to new developments at all four time points. There were significantly more food outlets, and within closer proximity to the home, in established neighbourhoods compared to new developments at each time point. In established neighbourhoods, there were more convenience stores, takeaway/fast food and café restaurants, a lower percentage of healthy food outlets, and closer proximity to convenience stores in lower compared to high SES areas. In new developments there were significantly less supermarket/greengrocers, a lower percentage of healthy food outlets and greater proximity to takeaway/fast food and café restaurants in low compared to high SES areas. New developments designed according to the WA government's "Liveable Neighbourhoods Community Design Guidelines" policy had significantly more of all food outlets compared to other new developments. As such, people living in new developments, and low SES areas of Perth, may be disadvantaged with poorer access to healthy food outlets and greater exposure to unhealthy food outlets. Future urban planning and policy should focus on providing incentives that support the early development of supermarkets and healthy food outlets within new developments and low SES areas of Perth.

Lifetime recreational physical activity and the risk of prostate cancer.

PURPOSE: Research on the association between physical activity and the risk of prostate cancer is inconsistent. The aim of this study was to investigate whether the timing, intensity, and type of recreational physical activity influence prostate cancer risk. METHODS: A population-based case-control study was conducted in Western Australia in 2001-2002. Data were collected on lifetime recreational physical activity from a self-reported questionnaire. The estimated effects of recreational physical activity on prostate cancer risk were analyzed using logistic regression, adjusting for demographic and lifestyle factors. This analysis included 569 incident cases and 443 controls. RESULTS: There was a significant, inverse dose-response relationship between vigorous-intensity recreational physical activity between the ages 19 and 34 years and the risk of prostate cancer (pTrend = 0.013). Participants in the most active quartile of vigorous-intensity physical activity in this age period had a 33% lower risk of prostate cancer than participants in the least active quartile (Adjusted Odds Ratio = 0.67, 95% confidence interval = 0.45-1.01). Moderate-intensity recreational physical activity was not associated with the risk of prostate cancer. Recreational physical activity performed over the lifetime showed no association with prostate cancer risk. Weight training performed from early adulthood onwards showed a non-significant but consistent inverse association with prostate cancer risk. There was no strong evidence that physical activity was differentially associated with the risks of low-grade and medium-to-high grade prostate cancers. CONCLUSIONS: A high level of vigorous recreational physical activity in early adulthood may be required to reduce the risk of prostate cancer.

A dietary pattern derived using B-vitamins and its relationship with vascular markers over the life course.

BACKGROUND: Diet may influence vascular function through elevated homocysteine (Hcy) concentrations. However the relationship between dietary patterns (DP), characterised by Hcy and its associated nutrients is unknown. OBJECTIVE: To identify a DP characterised by plasma Hcy, dietary folate and dietary vitamin B12, and examine its associations with two markers of vascular function: carotid intima-media thickness (cIMT) and pulse wave velocity (PWV). METHODS: 1562 participants of the MRC National Survey of Health and Development (NSHD), a British birth cohort, with dietary data measured at least once between 36 and 60-64 years, and cIMT or PWV measured at 60-64 years were included. DPs were derived using reduced rank regression with three intermediate variables: 1) plasma Hcy (µmol/L) 2) folate intake (µg/1000 kcal) 3) vitamin B12 intake (µg/1000 kcal). Multiple regression models assessed associations between the derived DP z-scores and vascular function adjusting for dietary misreporting, socioeconomic position, BMI, smoking, physical activity and diabetes. RESULTS: A DP explaining the highest amount of shared variation (4.5%) in plasma Hcy, dietary folate and dietary vitamin B12 highly correlated with folate (r = 0.96), moderately correlated with vitamin B12 (r = 0.27), and weakly correlated with Hcy (r = 0.10). This "high B-vitamin" DP (including folate) was characterised by high intakes of vegetables, fruit and low fibre breakfast cereal, and low intakes of processed meat, white bread, sugar and preserves. No associations were observed between DP z-scores and vascular function at any time point following adjustment for covariates. CONCLUSION: This study explored a specific hypothesised pathway linking diet to vascular function. Although we found no consistent evidence for an association between a high B-vitamin DP and vascular function, we did observe an association with CRP and triglycerides in secondary analyses. Further analyses using strongly correlated and biologically relevant intermediate variables are required to refine investigations into diet and CVD in longitudinal cohort data.

Sources and pattern of protein intake and risk of overweight or obesity in young UK twins.

High protein intake in young children is associated with excess gains in weight and body fat, but the specific role of different protein sources has yet to be described. The study aimed to investigate the role of different types of protein in the post-weaning stage on weight, BMI and overweight/obesity at 60 months. Intakes of animal, dairy and plant protein and a dietary pattern characterising variation in protein types at 21 months of age were estimated using a 3-d diet diary in a cohort of 2154 twins; weight and height were recorded every 3 months from birth to 60 months. Longitudinal mixed-effect models investigated the associations between sources of protein intake or dietary pattern scores and BMI, weight and overweight/obesity from 21 months up to 60 months. Adjusting for confounders, dairy protein intake at 21 months was positively associated with greater weight (46 (95 % CI 21, 71) g and BMI up to 60 months (0·04 (95 % CI 0·004, 0·070) kg/m2) and the odds of overweight/obesity at 3 years (OR 1·12; 95 % CI 1·00, 1·24). Milk showed associations of similar magnitude. A dietary pattern low in dairy protein and high in plant protein was associated with lower weight gain up to 60 months, but not overweight/obesity. Intake of dairy products in early childhood is most strongly associated with weight gain, compared with other protein sources. A dietary pattern characterised by lower protein intake and greater protein source diversity at 2 years may confer a lower risk of excess weight gain.

Greater improvements in diet quality among overweight participants following a group-based commercial weight loss programme than those receiving support to lose weight in primary care.

BACKGROUND: Relatively little is known about dietary changes and their relationships with weight change during behavioural weight loss interventions. In a secondary analysis of data from a multicentre RCT, we investigated whether greater improvements in diet would be achieved by overweight adults following a 12 month group-based commercial weight loss programme (CP) than those receiving standard care (SC) in primary practice, and if these dietary changes were associated with greater weight loss. METHODS: Adults with a BMI 27-35 kg/m2 and >1 risk factor for obesity-related disorders were recruited in study centres in Australia and the UK during 2007-2008. Dietary intake and body weight were measured at baseline, 6 and 12 months. Linear mixed effects models compared mean changes in dietary macronutrient intake, fibre density and energy density over time between groups, and their relationships with weight loss. RESULTS: The CP group demonstrated greater mean weight loss than the SC group at 6 months (3.3 kg, 95% CI: 2.2, 4.4) and 12 months (3.3 kg, 95% CI: 2.1, 4.5). Diet quality improved in both intervention groups at 6 and 12 months. However, the CP group (n = 228) achieved significantly greater mean reductions in energy intake (mean difference; 95% CI: - 503 kJ/d; - 913, - 93), dietary energy density (- 0.48 MJ/g; - 0.81, - 0.16), total fat (- 6.9 g/d; - 11.9, - 1.8), saturated fat (- 3.3 g/d; - 5.4, - 1.1), and significantly greater mean increases in fibre density (0.30 g/MJ; 0.15, 0.44) at 6 months than the SC group (n = 239). Similar differences persisted at 12 months and the CP group showed greater mean increases in protein density (0.65 g/MJ). In both groups, weight loss was associated with increased fibre density (0.68 kg per g/MJ, 95% CI: 0.08, 1.27) and protein density (0.26 kg per g/MJ, 95% CI: 0.10, 0.41). CONCLUSIONS: Following a group-based commercial program led to greater improvements in diet quality than standard care. Increases in dietary protein and fibre density were independently associated with weight loss in both behavioural weight loss interventions. Greater increases in protein and fibre density in the commercial program likely contributed to their greater weight loss. TRIAL REGISTRATION: ISRCTN: ISRCTN85485463 Registered 03/08/2007 Retrospectively Registered.

Unhealthy Dietary Patterns Established in Infancy Track to Mid-Childhood: The EU Childhood Obesity Project.

Background: Dietary habits established in infancy may persist into adulthood and determine long-term health. Objectives: The aims of this work were to describe dietary patterns, predictors of adherence to them, and their tracking from ages 1 to 8 y in European children. Methods: Three-day food diaries were prospectively collected at ages 1, 2, 3, 4, 5, 6 and 8 y. Foods were allocated to 1 of 29 food groups, which were included in exploratory factor analyses at each children's age. The tracking of patterns through childhood was assessed by an estimated general equation model. Results: At age 1 y (n = 633), 2 patterns were identified. One was labeled "core foods" (CORE), since it was positively loaded for vegetables, fish, olive oil, and white and red meat, and negatively loaded for ready-to-eat infant products, sugar, and confectioneries. The other was positively loaded for saturated spreads, sugar, fruit juices, and confectioneries, and negatively loaded for olive oil, fish, and cow milk; this was labeled as the "poor-quality fats and added sugars" (F&S) pattern. From ages 2 to 8 y, 3 patterns were repeatedly identified: CORE, F&S, and a "high protein sources" (PROT) pattern that was positively loaded for milk, flavored milks, fish, eggs, white and processed meat, chips, and olive oil, and negatively loaded for fresh fruits at almost all time points. Of those children in the highest quartiles of the CORE, F&S, and PROT patterns at 2 y, 45%, 72%, and 36%, respectively, remained in the highest quartile at 8 y [OR = 2.01 (1.08, 3.8), OR = 3.6 (1.5, 8.4) and OR = 0.80 (0.4,1.6), respectively; P = 0.510]. Conclusions: Dietary patterns are established between 1 and 2 y of age and track into mid-childhood. A dietary pattern characterized by added sugars, unhealthy fats, and poor consumption of fish and olive oil was the most stable throughout childhood. Further analyses will reveal whether those dietary patterns are associated with metabolic disease risk.