Development and validation of age-specific predictive equations for total energy expenditure and physical activity levels for older adults.

BACKGROUND: Predicting energy requirements for older adults is compromised by the underpinning data being extrapolated from younger adults. OBJECTIVES: To generate and validate new total energy expenditure (TEE) predictive equations specifically for older adults using readily available measures (age, weight, height) and to generate and test new physical activity level (PAL) values derived from 1) reference method of indirect calorimetry and 2) predictive equations in adults aged ≥65 y. METHODS: TEE derived from "gold standard" methods from n = 1657 (n = 1019 females, age range 65-90 y), was used to generate PAL values. PAL ranged 1.28-2.05 for males and 1.26-2.06 for females. Physical activity (PA) coefficients were also estimated and categorized (inactive to very active) from population means. Nonlinear regression was used to develop prediction equations for estimating TEE. Double cross-validation in a randomized, sex-stratified, age-matched 50:50 split, and leave one out cross-validation were performed. Comparisons were made with existing equations. RESULTS: Equations predicting TEE using the Institute of Medicine method are as follows: For males, TEE = -5680.17 - 17.50 × age (years) + PA coefficient × (6.96 × weight [kilograms] + 44.21 × height [centimeters]) + 1.13 × resting metabolic rate (RMR) (kilojoule/day). For females, TEE = -5290.72 - 8.38 × age (years) + PA coefficient × (9.77 × weight [kilograms] + 41.51 × height [centimeters]) + 1.05 × RMR (kilojoule/day), where PA coefficient values range from 1 (inactive) to 1.51 (highly active) in males and 1 to 1.44 in females respectively. Predictive performance for TEE from anthropometric variables and population mean PA was moderate with limits of agreement approximately ±30%. This improved to ±20% if PA was adjusted for activity category (inactive, low active, active, and very active). Where RMR was included as a predictor variable, the performance improved further to ±10% with a median absolute prediction error of approximately 4%. CONCLUSIONS: These new TEE prediction equations require only simple anthropometric data and are accurate and reproducible at a group level while performing better than existing equations. Substantial individual variability in PAL in older adults is the major source of variation when applied at an individual level.

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.

Total Energy Expenditure in Healthy Ambulatory Older Adults Aged ≥80 Years: A Doubly Labelled Water Study.

INTRODUCTION: The life expectancy of older adults continues to increase; however, knowledge regarding their total energy requirements is lacking. This study aimed to compare the total energy expenditure (TEE) of older adults ≥80 years measured using doubly labelled water (DLW), with estimated TEE. The hypothesis was that the Mifflin, Ikeda, and Livingston equations will more closely estimate energy requirements than the commonly used Schofield equation. METHODS: Resting metabolic rate (RMR) and TEE were measured using the reference methods of indirect calorimetry and DLW, respectively. Bland-Altman plots compared measured RMR and TEE with predicted RMR using equations (Mifflin, Ikeda, Livingston, Schofield) and predicted TEE (predicted RMR × physical activity level). RESULTS: Twenty-one older adults (age range 80.7-90.1 years, BMI 26.1 ± 5.5 kg/m2) were included. The Schofield equation demonstrated the greatest bias from measured RMR, overestimating approximately up to double the mean difference (865 ± 662 kJ/day) compared with the three other equations. The Schofield equation exhibited the greatest bias (overestimation of 641 ± 1,066 kJ/day) compared with measured TEE. The other three equations underestimated TEE, with the least bias from Ikeda (37 ± 1,103 kJ/day), followed by Livingston (251 ± 1,108 kJ/day), and Mifflin (354 ± 1,140 kJ/day). Data are mean ± SD. CONCLUSIONS: In older adults ≥80 years, the Ikeda, Mifflin, and Livingston equations provide closer estimates of TEE than the widely used Schofield equation. The development of nutrition guidelines therefore should consider the utilization of equations which more accurately reflect age-specific requirements.

The Cost-Effectiveness of Adjunctive Lifestyle Interventions for the Management of Cancer: A Systematic Review.

OBJECTIVE: There is a paucity of papers synthesizing the cost-effectiveness (CE) of lifestyle interventions to support cancer patients, and the synthesis papers available have used analytic methods that do not permit easy comparison between studies. We therefore evaluated the CE of adjunctive lifestyle interventions compared with usual care. METHODS: A systematic literature search of Scopus, MEDLINE, EMBASE, PsycINFO, CINAHL and the Cochrane Library databases was conducted from database inception until June 2021. Eligible studies were economic evaluations from randomised controlled trials or modelled economic evaluations that recruited subjects with a confirmed diagnosis of cancer and were allocated to a lifestyle intervention as an adjunct or supportive treatment, or usual care. Studies were excluded if there was no cost-effectiveness analysis or if costs were identified but not related back to measures of effectiveness. CE of the included interventions was recalculated, adjusting for key differences (with respect to absolute resource costs and timing) between the broad range of study settings and a common 'target' setting. All CE data were converted into incremental net monetary benefit using a common cost-effectiveness threshold to facilitate comparison. The quality of the studies was evaluated for risk of bias using the ECOBIAS check list. RESULTS: Nine studies were included in our review. Seven studies investigated the benefits of physical exercise in combination with cancer treatment and two studies investigated the combination of exercise and psychosocial counselling alongside cancer treatment. Six studies with an exercise intervention reported larger quality-adjusted life year (QALY) gains compared with usual care and when cost per QALY gained was considered, three of the interventions were cost effective. One of the two interventions combining exercise with psychosocial counselling was cost effective. All studies were considered of good quality but all had some limitations. CONCLUSIONS: The evidence to support the cost effectiveness of lifestyle interventions in patients with cancer is mixed with four of the nine interventions found to be cost effective and two remaining cost effective when uncertainty was taken into account. Sensitivity analysis showed the influence of the CE threshold on the results, highlighting the importance of selecting a CE threshold that is appropriate to the setting. SYSTEMATIC REVIEW REGISTRATION: PROSPERO Registration Number: CRD42020185376.

Effect of Early and Intensive Telephone or Electronic Nutrition Counselling Delivered to People with Upper Gastrointestinal Cancer on Quality of Life: A Three-Arm Randomised Controlled Trial.

BACKGROUND: Delay in dietetic service provision for upper gastrointestinal cancer exacerbates disease-related malnutrition and consequently increases morbidity and mortality. Dietetic services are usually referral-based and provided face-to-face in inpatient or outpatient settings, which can delay the commencement of nutrition care. The aim of this study was to provide intensive dietetic intervention close to the time of diagnosis for upper gastrointestinal cancer and assess the effect on quality-adjusted life years. METHODS: A three-arm randomised controlled trial of adults newly diagnosed with upper gastrointestinal cancer was performed. A behavioural-based, individually tailored, symptom-directed nutrition intervention was provided in addition to usual care, delivered by a dietitian using a telephone (synchronously) or a mobile application (asynchronously) for 18 weeks, compared with a usual care control group. Data were collected at baseline, three, six, and twelve months post-randomisation. The primary outcome was quality-adjusted life years (EQ-5D-5L quality of life assessment tool). Data were analysed using linear mixed models. RESULTS: One hundred and eleven participants were randomised. Quality-adjusted life years were not different in the intervention groups compared with control (telephone: mean (95% CI) 0.04 (0.43, 2.3), p = 0.998; App: -0.08 (-0.18, 0.02), p = 0.135) after adjustment for baseline, nutrition risk status, age, and gender. Survival was similar between groups over 12 months. The asynchronous mobile app group had a greater number of withdrawals compared with the telephone group. CONCLUSION: Early and intensive nutrition counselling, delivered at home, during anticancer treatment did not change quality-adjusted life years or survival over 12 months compared with usual care. Behavioural counselling alone was unable to achieve nutritional adequacy. Dietetic services delivered asynchronously using a mobile app had low acceptance for patients undergoing anticancer treatment. TRIAL REGISTRATION: 27 January 2017 Australian and New Zealand Clinical Trial Registry, ACTRN12617000152325.

Weight management interventions that include dietary components for young people with chronic health care needs: A systematic review.

AIMS: To identify and describe weight management interventions that include a dietary component for young people with chronic healthcare needs and overweight or obesity and their effect on body mass index (BMI) or weight. METHODS: Six databases were searched in 2017 and 2020 for experimental studies in English: Ovid MEDLINE, Ovid Embase, Ovid AMED, EBSCO CINAHL, Scopus and Cochrane Central Register of Controlled Trials and Database of Systematic Reviews. Two independent reviewers conducted data extraction and quality assessment using the Cochrane Risk of Bias tool. Eligible studies included young people with chronic healthcare needs ≤18 years with overweight or obesity with an intervention that included a dietary component. Eligible outcomes were BMI or weight. Data were synthesised narratively. RESULTS: The search identified 15 293 references, 12 studies were included (randomised controlled trials n = 5, before-after comparisons n = 7). Participant diagnoses were neurodevelopmental disabilities (n = 5) and mental illness (n = 1); survivors of cancers or tumours (n = 4); congenital heart disease (n = 1) and; migraine (n = 1). No studies addressed weight management in physical disabilities. Eight studies demonstrated a significant reduction in BMI or weight. Of these, most interventions used dietary counselling or an energy deficit, were family-focused, multicomponent and delivered by a multidisciplinary team including dietitians. A high risk of bias was detected across studies. CONCLUSIONS: There is limited high-quality evidence about effective dietary solutions for the management of overweight and obesity for young people with chronic healthcare needs. While more research is required, dietary management appears to be important to manage weight in these populations.

Do disparities exist between national food group recommendations and the dietary intakes of contemporary young adults?

AIM: The aim of this study was to compare food and nutrient intakes of young Australian adults (18-24 years) to national recommendations as per the Australian Guide to Healthy Eating and Nutrient Reference Values. METHODS: Dietary intake of 18 to 24 year olds (n = 1005) participating in the Advice, Ideas, and Motivation for My Eating (Aim4Me) study was self-reported using the 120-item Australian Eating Survey Food Frequency Questionnaire. Median daily servings of Australian Guide to Healthy Eating food groups, macronutrients and micronutrients were compared to recommendations in the Australian Guide to Healthy Eating and Nutrient Reference Values using t-tests or Kruskal-Wallis tests (P < .05). RESULTS: None of the young adults met all Australian Guide to Healthy Eating recommendations. The highest adherence [% meeting recommendations, median (IQR)] was for meat/alternatives [38%, 2.1(1.8)] and fruit [32%, 1.5(1.6)], with <25% meeting remaining food-group recommendations. The majority (76%) exceeded recommendations for the consumption of discretionary foods [4.0(3.3) vs 0-3 serves] and 81% had excessive saturated fat intakes. Young adults who met all key Nutrient Reference Values (dietary fibre, folate, iodine, iron, calcium and zinc) (18%) consumed a higher number of serves of all food groups, including discretionary foods. CONCLUSIONS: Dietary intakes of contemporary young adults do not align with Australian Guide to Healthy Eating targets, while meeting Nutrient Reference Values is achieved by a higher consumption of all food groups, including discretionary foods. Strategies to increase consumption of nutrient-dense foods in young adults to achieve the Nutrient Reference Values are warranted.

Beyond Body Weight: Design and Validation of Psycho-Behavioural Living and Eating for Health Segments (LEHS) Profiles for Social Marketing.

Obesity, sedentary behaviour, and poor dietary habits amongst young adults are growing concerns, with this age group being in a worse state of health and nutrition than adolescents and adults. This paper presents the procedures for establishing a new instrument for defining behaviours in relation to healthy lifestyle and food choices amongst young adults (Living and Eating for Health Segments: LEHS). The aim of this paper is to outline the instrument design protocol for external validation and to permit replication in other studies. The instrument design process used a multi-step social marketing instrument design method. This approach has previously been used in designing valid and reliable measures in marketing and consumer research, including social marketing. The protocol established six psycho-behavioural LEHS profiles for young adults. These profiles are: Lifestyle Mavens (15.4%), Aspirational Healthy Eaters (27.5%), Balanced-all Rounders (21.4%), Health Conscious (21.1%), Contemplating Another Day (11.2%), and Blissfully Unconcerned (3.4%). Each of these profiles provided insights into psycho-behavioural characteristics that can be used in designing apposite social media social marketing campaigns.

Investigating the Efficacy and Cost-Effectiveness of Technology-Delivered Personalized Feedback on Dietary Patterns in Young Australian Adults in the Advice, Ideas, and Motivation for My Eating (Aim4Me) Study: Protocol for a Randomized Controlled Trial.

BACKGROUND: Web-based health interventions may be easier to access and time efficient relative to face-to-face interventions and therefore may be the most appropriate mode to engage young adults. OBJECTIVE: This study aims to investigate the impact of 3 different levels of personalized web-based dietary feedback and support on changes in diet quality. METHODS: The Advice, Ideas, and Motivation for My Eating (Aim4Me) study is a 12-month assessor-blinded, parallel-group randomized controlled trial evaluating the impact of 3 levels of web-based feedback on diet quality, measured using the Australian Recommended Food Score (ARFS). Participants (N=2570) will primarily be recruited via web-based methods and randomized to 1 of 3 groups. Group 1 (control) will receive the Healthy Eating Quiz, a web-based dietary assessment tool that generates a brief feedback report on diet quality. Individuals randomized to this group can use the brief feedback report to make positive dietary changes. Group 2 will receive the Australian Eating Survey, a web-based dietary assessment tool that generates a comprehensive feedback report on diet quality as well as macro- and micronutrient intake. Group 2 will use the comprehensive feedback report to assist in making positive dietary changes. They will also have access to the Aim4Me website with resources on healthy eating and tools to set goals and self-monitor progress. Group 3 will receive the same intervention as Group 2 (ie, the comprehensive feedback report) in addition to a tailored 30-min video consultation with an accredited practicing dietitian who will use the comprehensive feedback report to assist individuals in making positive dietary changes. The self-determination theory was used as the framework for selecting appropriate website features, including goal setting and self-monitoring. The primary outcome measure is change in diet quality. The completion of questionnaires at baseline and 3, 6, and 12 months will be incentivized with a monetary prize draw. RESULTS: As of December 2019, 1277 participants have been randomized. CONCLUSIONS: The web-based delivery of nutrition interventions has the potential to improve dietary intake of young adults. However, the level of support required to improve intake is unknown. TRIAL REGISTRATION: Australian New Zealand Clinical Trials Registry ACTRN12618000325202; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=374420. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/15999.

"It's not easy" - A qualitative study of lifestyle change during pregnancy.

BACKGROUND: Maternal lifestyle in the months leading up to conception and throughout pregnancy has both immediate and transgenerational impacts on offspring health. AIM: To explore how women's lifestyles change when they become pregnant, and their perspectives of the lifestyle advice they receive throughout pregnancy. METHODS: A descriptive qualitative approach was used. Semi-structured interviews with 17 childbearing women (mean gestational age, 30.2 ± 2.0 weeks) recruited from a large hospital network in Victoria, Australia between July and October 2018 were transcribed and analysed using an inductive process of thematic analysis. FINDINGS: Three themes and six sub-themes were identified. Lifestyle change during pregnancy was highly influenced by participants' preconception lifestyle, the physiological demands of pregnancy and the pressures of daily life. While participants proactively sought lifestyle advice from a range of sources, including the Internet, they were generally less proactive in seeking advice during routine maternity care visits. Participants appreciated the lifestyle advice they received from health professionals, including midwives, as part of their maternity care despite acknowledging that they often received it only if they asked. Overall, it seemed that the lifestyle advice received from health professionals was much less influential on maternal lifestyle behaviour change than the broader socio-ecological environment. CONCLUSION: Childbearing women want lifestyle advice that supports positive lifestyle change during pregnancy and health professionals, including midwives, must be proactive as they provide it. Other factors that impact on childbearing women's capability and opportunity to make lifestyle change should be considered when providing advice that supports positive lifestyle behaviour change.

Total energy expenditure measured using doubly labeled water compared with estimated energy requirements in older adults (≥65 y): analysis of primary data.

BACKGROUND: Contemporary energy expenditure data are crucial to inform and guide nutrition policy in older adults to optimize nutrition and health. OBJECTIVE: The aim was to determine the optimal method of estimating total energy expenditure (TEE) in adults (aged ≥65 y) through 1) establishing which published predictive equations have the closest agreement between measured resting metabolic rate (RMR) and predicted RMR and 2) utilizing the RMR equations with the best agreement to predict TEE against the reference method of doubly labeled water (DLW). METHODS: A database consisting of international participant-level TEE data from DLW studies was developed to enable comparison with energy requirements estimated by 17 commonly used predictive equations. This database included 31 studies comprising 988 participant-level RMR data and 1488 participant-level TEE data. Mean physical activity level (PAL) was determined for men (PAL = 1.69, n = 320) and women (PAL = 1.66, n = 668). Bland-Altman plots assessed agreement of measured RMR and TEE with predicted RMR and TEE in adults aged ≥65 y, and subgroups of 65-79 y and ≥80 y. Linear regression assessed proportional bias. RESULTS: The Ikeda, Livingston, and Mifflin equations most closely agreed with measured RMR and TEE in all adults aged ≥65 y and in the 65-79 y and ≥80 y subgroups. In adults aged ≥65 y, the Ikeda and Livingston equations overestimated TEE by a mean ± SD of 175 ± 1362 kJ/d and 86 ± 1344 kJ/d, respectively. The Mifflin equation underestimated TEE by a mean ± SD of 24 ± 1401 kJ/d. Proportional bias was present as energy expenditure increased. CONCLUSIONS: The Ikeda, Livingston, or Mifflin equations are recommended for estimating energy requirements of older adults. Future research should focus on developing predictive equations to meet the requirements of the older population with consideration given to body composition and functional measures.

Communicating health-Optimising young adults' engagement with health messages using social media: Study protocol.

BACKGROUND: Obesity is a global health problem. Understanding how to utilise social media (SM) as a platform for intervention and engagement with young adults (YAs) will help the practitioners to harness this media more effectively for obesity prevention. AIM: Communicating health (CH) aims to understand the use of SM by YAs, including Aboriginal YAs, and in doing so will improve the effectiveness of SM strategies to motivate, engage and retain YAs in interventions to reduce the risk of obesity, and identify and disseminate effective ways for health professionals to deliver obesity prevention interventions via SM. METHODS: The present study describes the theoretical framework and methodologies for the CH study, which is organised into four interrelated phases, each building on the outcomes of preceding phases. Phase 1 is a mixed methods approach to understand how YAs use SM to navigate their health issues, including healthy eating. Phase 2 utilises co-creation workshops where YAs and public health practitioners collaboratively generate healthy eating messages and communication strategies. Phase 3 evaluates these messages in a real-world setting. Phase 4 is the translation phase where public health practitioners use outcomes from CH to inform future strategies and to develop tools for SM for use by stakeholders and the research community. DISCUSSION: The outcomes will include a rich understanding of psychosocial drivers and behaviours associated with healthy eating and will provide insight into the use of SM to reach and influence the health and eating behaviours of YAs.

Effect of early and intensive nutrition care, delivered via telephone or mobile application, on quality of life in people with upper gastrointestinal cancer: study protocol of a randomised controlled trial.

BACKGROUND: A major challenge for those living with cancers of the upper gastrointestinal tract (oesophagus, stomach and pancreas), is the impact of the disease and treatment on nutritional status and quality of life. People with cancer and malnutrition have a greater risk of morbidity and mortality. Nutrition intervention is recommended to commence immediately in those who are malnourished or at risk of malnutrition. Novel cost-effective approaches that can deliver early, pre-hospital nutrition intervention before usual hospital dietetic service is commenced are needed. Linking clinicians and patients via mobile health (mHealth) and wireless technologies is a contemporary solution not yet tested for delivery of nutrition therapy to people with cancer. The aim of this study is to commence nutrition intervention earlier than usual care and evaluate the effects of using the telephone or mHealth for intervention delivery. It is hypothesised that participants allocated to receive the early and intensive pre-hospital dietetic service will have more quality-adjusted life years lived compared with control participants. This study will also demonstrate the feasibility and effectiveness of mHealth for the nutrition management of patients at home undergoing cancer treatment. METHODS: This study is a prospective three-group randomised controlled trial, with a concurrent economic evaluation. The 18 week intervention is provided in addition to usual care and is delivered by two different modes, via telephone (group 1) or via mHealth (group 2), The control group receives usual care alone (group 3). The intervention is an individually tailored, symptom-directed nutritional behavioural management program led by a dietitian. Participants will have at least fortnightly reviews. The primary outcome is quality adjusted life years lived and secondary outcomes include markers of nutritional status. Outcomes will be measured at three, six and 12 months follow up. DISCUSSION: The findings will provide evidence of a strategy to implement early and intensive nutrition intervention outside the hospital setting that can favourably impact on quality of life and nutritional status. This patient-centred approach is relevant to current health service provision and challenges the current reactive delivery model of care. TRIAL REGISTRATION: 27th January 2017 Australian and New Zealand Clinical Trial Registry ( ACTRN12617000152325 ).

Timeline of changes in adaptive physiological responses, at the level of energy expenditure, with progressive weight loss.

Diet-induced weight loss (WL) is associated with reduced resting and non-resting energy expenditure (EE), driven not only by changes in body composition but also potentially by adaptive thermogenesis (AT). When exactly this happens, during progressive WL, remains unknown. The aim of this study was to determine the timeline of changes in RMR and exercise-induced EE (EIEE), stemming from changes in body composition v. the presence of AT, during WL with a very-low-energy diet (VLED). In all, thirty-one adults (eighteen men) with obesity (BMI: 37 (sem 4·5) kg/m2; age: 43 (sem 10) years) underwent 8 weeks of a VLED, followed by 4 weeks of weight maintenance. Body weight and composition, RMR, net EIEE (10, 25 and 50 W) and AT (for RMR (ATRMR) and EIEE (ATEIEE)) were measured at baseline, day 3 (2 (sem 1) % WL), after 5 and 10 % WL and at weeks 9 (16 (sem 2) %) and 13 (16 (sem 1) %). RMR and fat mass were significantly reduced for the first time at 5 % WL (12 (sem 8) d) (P<0·01 and P<0·001, respectively) and EIEE at 10 % WL (32 (sem 8) d), for all levels of power (P<0·05), and sustained up to week 13. ATRMR was transiently present at 10 % WL (-460 (sem 690) kJ/d, P<0·01). A fall in RMR should be anticipated at ≥5 % WL and a reduction in EIEE at ≥10 % WL. Transient ATRMR can be expected at 10 % WL. These physiological adaptations may make progressive WL difficult and will probably contribute to relapse.

Total energy expenditure in adults aged 65 years and over measured using doubly-labelled water: international data availability and opportunities for data sharing.

BACKGROUND: Increasing population lifespan necessitates a greater understanding of nutritional needs in older adults (65 year and over). A synthesis of total energy expenditure in the older population has not been undertaken and is needed to inform nutritional requirements. We aimed to establish the extent of the international evidence for total energy expenditure (TEE) using doubly-labelled water (DLW) in older adults (65 years and over), report challenges in obtaining primary data, and make recommendations for future data sharing. METHODS: Four databases were searched to identify eligible studies; original research of any study design where participant level TEE was measured using DLW in participants aged ≥65 years. Once studies were identified for inclusion, authors were contacted where data were not publicly available. RESULTS: Screening was undertaken of 1223 records; the review of 317 full text papers excluded 170 records. Corresponding or first authors of 147 eligible studies were contacted electronically. Participant level data were publicly available or provided by authors for 45 publications (890 participants aged ≥65 years, with 248 aged ≥80 years). Sixty-seven percent of the DLW data in this population were unavailable due to authors unable to be contacted or declining to participate, or data being irretrievable. CONCLUSIONS: The lack of data access limits the value of the original research and its contribution to nutrition science. Openly accessible DLW data available through publications or a new international data repository would facilitate greater integration of current research with previous findings and ensure evidence is available to support the needs of the ageing population. TRIAL REGISTRATION: The protocol was registered with the International Prospective Register of Systematic Reviews (PROSPERO), registration number CRD42016047549 .

A foodservice approach to enhance energy intake of elderly subacute patients: a pilot study to assess impact on patient outcomes and cost.

Background: effective strategies are required to support the nutritional status of patients. Objectives: to evaluate a foodservice nutrition intervention on a range of participant outcomes and estimate its cost. Design: parallel controlled pilot study. Setting: subacute hospital ward. Subjects: all consecutively admitted adult patients were eligible for recruitment under waiver of consent. Methods: the intervention was a modified hospital menu developed by substituting standard items with higher energy options. The control was the standard menu. All participants received usual multidisciplinary care. Outcomes were change in weight and hand grip strength (HGS) between admission and day 14 and; energy and protein intake and patient satisfaction with the foodservice at day 14. The additional cost of the intervention was also estimated. Results: the median (interquartile range) age of participants (n = 122) was 83 (75-87) years and length of stay was 19 (11-32) days. One-third (38.5%) were malnourished at admission. There was no difference in mean (SD) HGS change (1.7 (5.1) versus 1.4 (5.8) kg, P = 0.798) or weight change (-0.55 (3.43) versus 0.26 (3.33) %, P = 0.338) between the intervention and control groups, respectively. The intervention group had significantly higher mean (SD) intake of energy (132 (38) versus 105 (34) kJ/kg/day, P = 0.003) and protein (1.4 (0.6) versus 1.1 (0.4) g protein/kg/day, P = 0.035). Both groups were satisfied with the foodservice. The additional cost was £4.15/participant/day. Conclusions: in this pilot, the intervention improved intake and may be a useful strategy to address malnutrition. Further consideration of clinical and cost implications is required in a fully powered study.

Development and Evaluation of an iPad App for Measuring the Cost of a Nutritious Diet.

BACKGROUND: Monitoring food costs informs governments of the affordability of healthy diets. Many countries have adopted a standardized healthy food basket. The Victorian Healthy Food Basket contains 44 food items necessary to meet the nutritional requirements of four different Australian family types for a fortnight. OBJECTIVE: The aim of this study was to describe the development of a new iPad app as core to the implementation of the Victorian Healthy Food Basket. The app significantly automates the data collection. We evaluate if the new technology enhanced the quality and efficacy of the research. METHODS: Time taken for data collection and entry was recorded. Semi-structured evaluative interviews were conducted with five field workers during the pilot of the iPad app. Field workers were familiar with previous manual data collection methods. Qualitative process evaluation data was summarized against key evaluation questions. RESULTS: Field workers reported that using the iPad for data collection resulted in increased data accuracy, time savings, and efficient data management, and was preferred over manual collection. CONCLUSIONS: Portable digital devices may be considered to improve and extend data collection in the field of food cost monitoring.

Comparison of energy intake in toddlers assessed by food frequency questionnaire and total energy expenditure measured by the doubly labeled water method.

The ability of parents to accurately report energy intake in toddlers has rarely been validated using the gold-standard doubly labeled water (DLW) method to assess total energy expenditure (TEE). The aim of the study was to evaluate the accuracy of toddler energy intake (EI), estimated using the Australian Child and Adolescent Eating Survey (ACAES) food frequency questionnaire (FFQ) by parent report compared with a weighed food record (WFR) and TEE measured by DLW. Twelve toddlers had TEE assessed over 10 days using DLW. Usual energy intake was estimated by the primary caregiver, using standard toddler portions in ACAES-FFQ and a 4-day WFR and daily EI (in kilocalories) derived using national nutrient databases. Accuracy of reporting was calculated from absolute (EI-TEE) and percentage (EI/TEE×100) differences between EI and TEE and Pearson correlations and limits of agreement from Bland-Altman plots. Toddlers (n=12, 7 boys) had a mean age of 3.2±0.5 years, body mass index 16.2±0.9 kg, body mass index z score 0.1±0.8, EI from ACAES-FFQ 1,183±281kcal/day, and WFR 1,179±278 kcal/day and DLW TEE 1,251±149 kcal/day. The mean difference and limits of agreement (±2 standard deviations) compared with DLW was -68 (-623, 488) kcal/day for the FFQ and for the WFR -72 (-499, 354) kcal/day. Although both a semiquantitative FFQ and WFR can adequately estimate toddler energy intake at the group level in this population, toddler-specific portion size estimates should be assigned to foods listed in the FFQ. Choice of method is likely to depend on practical issues, including cost and burden.

Social health and nutrition impacts of community kitchens: a systematic review.

OBJECTIVE: Community kitchens have been implemented by communities as a public health strategy to prevent food insecurity through reducing social isolation, improving food and cooking skills and empowering participants. The aim of the present paper was to investigate whether community kitchens can improve the social and nutritional health of participants and their families. DESIGN: A systematic review of the literature was conducted including searches of seven databases with no date limitations. SETTING: Community kitchens internationally. SUBJECTS: Participants of community kitchens across the world. RESULTS: Ten studies (eight qualitative studies, one mixed-method study and one cross-sectional study) were selected for inclusion. Evidence synthesis suggested that community kitchens may be an effective strategy to improve participants' cooking skills, social interactions and nutritional intake. Community kitchens may also play a role in improving participants' budgeting skills and address some concerns around food insecurity. Long-term solutions are required to address income-related food insecurity. CONCLUSIONS: Community kitchens may improve social interactions and nutritional intake of participants and their families. More rigorous research methods, for both qualitative and quantitative studies, are required to effectively assess the impact of community kitchens on social and nutritional health in order to confidently recommend them as a strategy in evidence-based public health practice.