Accuracy of energy and nutrient intake estimation versus observed intake using 4 technology-assisted dietary assessment methods: a randomized crossover feeding study.

BACKGROUND: Technology-assisted 24-h dietary recalls (24HRs) have been widely adopted in population nutrition surveillance. Evaluations of 24HRs inform improvements, but direct comparisons of 24HR methods for accuracy in reference to a measure of true intake are rarely undertaken in a single study population. OBJECTIVES: To compare the accuracy of energy and nutrient intake estimation of 4 technology-assisted dietary assessment methods relative to true intake across breakfast, lunch, and dinner. METHODS: In a controlled feeding study with a crossover design, 152 participants [55% women; mean age 32 y, standard deviation (SD) 11; mean body mass index 26 kg/m2, SD 5] were randomized to 1 of 3 separate feeding days to consume breakfast, lunch, and dinner, with unobtrusive weighing of foods and beverages consumed. Participants undertook a 24HR the following day [Automated Self-Administered Dietary Assessment Tool-Australia(ASA24); Intake24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administered 24-hour recall (IA-24HR)]. When assigned to IA-24HR, participants referred to images captured of their meals using the mobile Food Record (mFR) app. True and estimated energy and nutrient intakes were compared, and differences among methods were assessed using linear mixed models. RESULTS: The mean difference between true and estimated energy intake as a percentage of true intake was 5.4% (95% CI: 0.6, 10.2%) using ASA24, 1.7% (95% CI: -2.9, 6.3%) using Intake24, 1.3% (95% CI: -1.1, 3.8%) using mFR-TA, and 15.0% (95% CI: 11.6, 18.3%) using IA-24HR. The variances of estimated and true energy intakes were statistically significantly different for all methods (P < 0.01) except Intake24 (P = 0.1). Differential accuracy in nutrient estimation was present among the methods. CONCLUSIONS: Under controlled conditions, Intake24, ASA24, and mFR-TA estimated average energy and nutrient intakes with reasonable validity, but intake distributions were estimated accurately by Intake24 only (energy and protein). This study may inform considerations regarding instruments of choice in future population surveillance. This trial was registered at Australian New Zealand Clinical Trials Registry as ACTRN12621000209897.

Pharmacists' perceptions and delivery of health behaviour change recommendations: Mapping the COM-B model.

BACKGROUND: Pharmacists are trusted and accessible healthcare professionals who are well-positioned to deliver brief health behaviour change technique-based interventions for chronic health conditions. However, little is known about the factors influencing pharmacists' use of behaviour change techniques and their capacity to deliver these interventions within community pharmacy. OBJECTIVES: This study employed the COM-B model to explore the factors that explain pharmacists' delivery of behaviour change techniques in practice. A secondary objective was to ascertain whether capability, opportunity, and motivation are associated with and explain significant variance in the use of behaviour change techniques during patient interactions. METHODS: Two-hundred and eleven Australian pharmacists (mean age = 36.1, SD = 10.7) completed a survey on their capability, opportunity, and motivation to deliver behaviour change techniques, and their delivery and frequency of use in practice. RESULTS: Most pharmacists (91.3%) use behaviour change techniques during patient interactions. Results from a simple linear regression showed that a composite COM score was associated with pharmacists' behaviour change technique use F(1,195) = 47.12, ß = 0.44, 95 % CI [0.09, 0.16], p < .001, and their frequency of use (F(1,198) = 44.19, ß = 0.43, 95 % CI [0.02, 0.06], p < .001). While capability, opportunity, and motivation were individually associated with the range and frequency of behaviour change technique used, motivation was the only significant variable in the composite model for range (ß = 0.35, 95 % CI [0.11, 0.41], p < .001) and frequency of behaviour change technique use (ß = 0.22, 95 % CI [0.01, 0.09], p < .05). CONCLUSIONS: Pharmacist motivation was the most important construct explaining behaviour change technique use. Interventions should seek to foster pharmacist motivation and may benefit from adopting COM-B as a behaviour change framework, to understand the factors influencing the delivery of behaviour change interventions.

Examining Safe Food-Handling Knowledge, Behaviour, and Related Psychological Constructs among Individuals at Higher Risk of Food Poisoning and the General Population.

Safe food-handling knowledge and behaviour are low across the general population. This raises concerns about whether individuals at higher risk of food poisoning have sufficient safe food-handling knowledge and engage in safe food-handling practices. The aim of this study was to explore safe food-handling knowledge, behaviour, and related psychological constructs among individuals at higher risk of food poisoning and compare the results to the general population. Participants (N = 169) completed measures of safe food-handling knowledge, intention, habit strength, perceived risk, self-efficacy, subjective norms, and behaviour. A series of multivariate analyses of variance were conducted to determine differences in these measures between participants at higher risk of food poisoning and the general population. No significant differences in knowledge, intention, habit strength, self-efficacy, subjective norms, and behaviour were found between individuals at higher risk of food poisoning and the general population. However, individuals at higher risk of food poisoning appeared to have stronger risk perceptions across safe food-handling behaviours compared with the general population. This study demonstrated that individuals at higher risk of food poisoning do not have higher safe food-handling knowledge than the general population, and despite having higher risk perceptions around some safe food-handling behaviours, they do not differ in engagement in safe food-handling behaviours or the majority of related psychological constructs. Implications of these findings relate to the need to target other psychological constructs, not just risk perceptions, in order to see safer food-handling behaviours in high-risk populations.

A call for action: Educating pharmacists and pharmacy students in behaviour change techniques.

The increasing impact of chronic disease, including cancer and heart disease on mortality signifies a need for the upskilling of health professionals in health behaviour change. Solely providing education and information to patients is generally not sufficient to change behaviour, and for any change to be sustained. The nature of pharmaceutical practice allows pharmacists to have frequent contact with patients in the community. Historically, pharmacists have often effectively engaged with patients to assist with behaviour change initiatives related to smoking cessation, weight loss or medication adherence. Unfortunately, such initiatives do not work for everyone, and more tailored and varied interventions are urgently needed to reduce the effects of chronic disease. In addition, with greater inaccessibility to hospitals and GP's (e.g., appointment wait times), it is imperative that pharmacists are upskilled in providing opportunistic health behaviour change techniques and interventions. Pharmacists need to practice to their full scope consistently and confidently, including the use of behavioural interventions. The following commentary therefore describes and provides recommendations for the upskilling of pharmacists and pharmacy students in opportunistic behaviour change. We outline nine key evidence-based behaviour change techniques, the active-ingredients of a behaviour change intervention, that are relevant to common encounters in professional practice by pharmacists, such as improving adherence to medications/treatments and health promotion initiatives. These include social support (practical and emotional), problem solving, anticipated regret, habit formation, behaviour substitution, restructuring the environment, information about others' approval, pros and cons, and monitoring and providing feedback on behaviour. Recommendations are then provided for how this upskilling can be taught to pharmacists and pharmacy students, as well as how they can use these techniques in their everyday practice.

Do Dimensional Measures of Mental Health Symptoms Predict Level of Alcohol Involvement in the General Population?

Background: There is a limited understanding of what specific mental health symptoms are associated to alcohol involvement. It is important to understand how the severity of different mental health dimensions may differ, and distinguish between, levels of alcohol involvement. Objectives: (a) explore for differences in severity of mental health symptoms between those with lower, and moderate/high alcohol involvement, (b) assess the degree to which mental health dimensions can distinguish between those with lower, and moderate/high alcohol involvement, and (c) examine what mental health dimensions are related to the highest risk of moderate/high alcohol involvement. Results: 400 participants representative of the general population in the USA were recruited online through Prolific and completed the Alcohol, Smoking and Substance Involvement Screening Test and Brief Symptom Inventory. Each of the nine mental health symptom dimensions significantly differed between lower and moderate/high alcohol involvement, with the moderate/high alcohol involvement group reporting greater severity symptoms. The nine symptom dimensions in combination also significantly distinguished lower and moderate/high alcohol involvement, however only somatization offered unique predictive utility. Lastly, global distress was also able to significantly distinguish the alcohol involvement groups, albeit to a lesser accuracy compared to the collection of individual symptom dimensions. Conclusions: These findings suggest that overall mental health distress may be important to understanding alcohol involvement, however individual symptom dimensions can add further explanatory variance. In particular, somatic symptoms may offer unique utility in understanding the relationship between mental health and alcohol involvement.

Analysis of participant-rated feasibility and acceptability of an online, theory-based pre-drinking behavioural intervention.

To date, few interventions have been developed to target pre-drinking specifically. An online, theory-based intervention by Caudwell et al. (2018) showed reductions in pre-drinking alcohol consumption and alcohol-related harm, albeit independent of the intervention component/s used. Information about feasibility and acceptability of pre-drinking interventions may therefore be an important point of focus in refining and developing effective interventions. The present manuscript investigates how participants (N = 117) in Caudwell et al. (2018) rated the intervention in terms of feasibility and acceptability. A feasibility and acceptability measure was factor analysed and investigated in relation to participant scores on theory-based measures (e.g., attitude, goal self-concordance), as well as demographic and alcohol consumption variables measured at baseline. Results indicate participants with higher scores on theory-based measures related to behaviour change and goal self-concordance at baseline rated the intervention more positively at follow-up. The findings indicate future intervention research should consider stages of change, with broader alcohol policy and public health strategy focused on changing attitudes toward pre-drinking, which remains a popular health-risk behaviour.

Developing habit-based health behaviour change interventions: twenty-one questions to guide future research.

OBJECTIVE: Habitual behaviours are triggered automatically, with little conscious forethought. Theory suggests that making healthy behaviours habitual, and breaking the habits that underpin many ingrained unhealthy behaviours, promotes long-term behaviour change. This has prompted interest in incorporating habit formation and disruption strategies into behaviour change interventions. Yet, notable research gaps limit understanding of how to harness habit to change real-world behaviours. METHODS: Discussions among health psychology researchers and practitioners, at the 2019 European Health Psychology Society 'Synergy Expert Meeting', generated pertinent questions to guide further research into habit and health behaviour. RESULTS: In line with the four topics discussed at the meeting, 21 questions were identified, concerning: how habit manifests in health behaviour (3 questions); how to form healthy habits (5 questions); how to break unhealthy habits (4 questions); and how to develop and evaluate habit-based behaviour change interventions (9 questions). CONCLUSIONS: While our questions transcend research contexts, accumulating knowledge across studies of specific health behaviours, settings, and populations will build a broader understanding of habit change principles and how they may be embedded into interventions. We encourage researchers and practitioners to prioritise these questions, to further theory and evidence around how to create long-lasting health behaviour change.

Exploring quality of life in Australian adults during a pandemic.

Many aspects of society changed due to the COVID-19 pandemic. As a result, many individuals experienced the introduction of travel bans and restrictions, COVID-19 related anxiety, greater risk to their health and an increased need for adaptive coping. Research has shown health-related quality of life was negatively affected during the time. However, the influence that these restrictions and experiences had on other various quality of life domains (physical, psychological, environmental, and social) is not yet known. Therefore, we aimed to examine the relationships between COVID-19-related variables, health variables, psychological variables and five domains of quality of life in Australian adults. Data was collected via cross-sectional online surveys from 264 Australian participants (M age = 29.76 years, SD = 12.40). Five hierarchical multiple regression analyses were conducted. The findings showed better adaptive coping, decreased COVID-19 anxiety, and lower perceived health risk were all associated with better quality of life during this time. Neither having travel plans during 2020-2021 nor engaging in compensatory behaviours were associated with quality of life. During times of uncertainty, such as pandemics, natural disasters or war, providing anxiety-reducing coping strategies may be beneficial for reducing the negative impacts on quality of life. In line with these findings and similar research, we have provided several directions and recommendations for governments and media organisations for when future events, similar to COVID-19, occur.

Predicting Perceived Problems in Self-Administered 24-Hour Dietary Recalls: A Quantitative Think-Aloud Study Comparing Automated Self-Assisted 24-Hour Dietary Assessment Tool (ASA24®) and INTAKE24© in University Students.

Demographic and psychosocial factors concerning dietary assessment error have been explored, but few studies have investigated the perceived problems experienced when completing dietary recalls. The aim of this research was to (i) compare the perceived problems encountered in two commonly used self-administered 24-hour dietary recall (24HR) programs (INTAKE24© and ASA24®) and (ii) explore whether mindful and habitual eating are associated with perceived problems during dietary recall. A randomised quantitative crossover design and think-aloud methodology were employed. Undergraduate university students (N = 55, Mage = 25.5, SD = 8.2, 75% female) completed a food habits and mindfulness questions pre-program, one 24HR (whilst thinking aloud), and a systems usability scale post-program. A week later, they completed the other 24HR (whilst thinking aloud). During a pilot, a coding frame of perceived problems was devised to quantify participants' perceived problems. INTAKE24© generated significantly fewer perceived problems across all categories compared to ASA24® (17.2 vs. 33.1, p < 0.001). Of the participants, 68% reported a preference for INTAKE24© over ASA24®. Hierarchical multiple regression showed that habits and systems usability were significant predictors of perceived problems for INTAKE24© only. No significant predictors were found for ASA24®. The results provide insight into perceived problems people may encounter when using 24HR tools.

Neurocognitive Artificial Neural Network Models Are Superior to Linear Models at Accounting for Dimensional Psychopathology.

In recent years, there has been debate about the optimal conceptualisation of psychopathology. Structural models of psychopathology have been developed to counter issues, including comorbidity and poor diagnostic stability prevalent within the traditional nosological approach. Regardless of the conceptualisation of psychological dysfunction, deficits in neurocognitive abilities have been claimed to be an aetiological feature of psychopathology. Explorations of the association between neurocognition and psychopathology have typically taken a linear approach, overlooking the potential interactive dynamics of neurocognitive abilities. Previously, we proposed a multidimensional hypothesis, where within-person interactions between neurocognitive domains are fundamental to understanding the role of neurocognition within psychopathology. In this study, we used previously collected psychopathology data for 400 participants on psychopathological symptoms, substance use, and performance on eight neurocognitive tasks and compared the predictive accuracy of linear models to artificial neural network models. The artificial neural network models were significantly more accurate than the traditional linear models at predicting actual (a) lower-level and (b) high-level dimensional psychopathology. These results provide support for the multidimensional hypothesis: that the study of non-linear interactions and compensatory neurocognitive profiles are integral to understanding the functional associations between neurocognition and of psychopathology.

Demographic and psychosocial correlates of measurement error and reactivity bias in a four-day image-based mobile food record among adults with overweight and obesity.

Improving dietary reporting among people living with obesity is challenging as many factors influence reporting accuracy. Reactive reporting may occur in response to dietary recording but little is known about how image-based methods influence this process. Using a 4-day image-based mobile food record (mFRTM), this study aimed to identify demographic and psychosocial correlates of measurement error and reactivity bias, among adults with BMI 25-40kg/m2. Participants (n=155, aged 18-65y) completed psychosocial questionnaires, and kept a 4-day mFRTM. Energy expenditure (EE) was estimated using ≥4 days of hip-worn accelerometer data, and energy intake (EI) was measured using mFRTM. Energy intake: energy expenditure ratios were calculated, and participants in the highest tertile were considered to have Plausible Intakes. Negative changes in EI according to regression slopes indicated Reactive Reporting. Mean EI was 72% (SD=21) of estimated EE. Among participants with Plausible Intakes, mean EI was 96% (SD=13) of estimated EE. Higher BMI (OR 0.81, 95%CI 0.72-0.92) and greater need for social approval (OR 0.31, 95% CI 0.10-0.96), were associated with lower likelihood of Plausible Intakes. Estimated EI decreased by 3% per day of recording (IQR -14%,6%) among all participants. The EI of Reactive Reporters (n=52) decreased by 17%/day (IQR -23%,-13%). A history of weight loss (>10kg) (OR 3.4, 95% CI 1.5-7.8), and higher percentage of daily energy from protein (OR 1.1, 95%CI 1.0-1.2) were associated with greater odds of Reactive Reporting. Identification of reactivity to measurement, as well as Plausible Intakes, is recommended in community-dwelling studies to highlight and address sources of bias.

What Accounts for the Factors of Psychopathology? An Investigation of the Neurocognitive Correlates of Internalising, Externalising, and the p-Factor.

Neurocognitive deficits have been consistently associated with a wide range of psychopathology and are proposed to not only be a consequence of the development of psychopathology but also directly involved in its aetiology. However, there is no clear understanding of what neurocognitive processes are particularly important to mental health. In this paper, we explored the association between neurocognitive abilities and the factors derived from structural models of psychopathology. Four hundred participants from a representative community sample completed measures of symptomology and substance use, as well as 8 neurocognitive tasks. We found a correlated-factors model, with internalising and externalising as the higher-order factors, and a single-factor model with only the p-factor, to be good fits for the data. Tasks that measured the speed of processing were significantly associated with internalising, externalising, and the p-factor, and accounted for significant amounts of unique variance in the factors after accounting for the common variance of the other tasks. Tasks that measured working memory, shifting, and inhibition were not significantly associated with psychopathology factors. Our findings suggest that neurocognitive abilities may not be differentially associated with psychopathology factors, but that speed of processing is a common correlate of the factors. We emphasise the importance of examining neurocognitive abilities and psychopathology on the individual level.

One p-Factor for All? Exploring the Applicability of Structural Models of Psychopathology within Subgroups of a Population.

Structural models of psychopathology have emerged as an alternative to traditional categorical approaches. The bifactor model, which incorporates a general p-factor, has become the preferred structure. The p-factor is claimed to represent a substantive construct or property of the system; however, recent evidence suggests that it may be without substantive meaning. If a universal substantive p, and associated specific factors, is to be developed they not only must be applicable and consistent between populations but also must be applicable and consistent within subgroups of a population. This consistency needs to include not only factor loadings but also factor correlates. We used a simulated data approach to explore the applicability and consistency of four popular models of psychopathology to a range of heterogeneous subgroups and examined the consistency of their neurocognitive correlates. We found that only eight out of sixty-three subgroups fitted any of the models with all significant loadings, no negative loadings, no non-positive-definite identification issues, and no negative variance. All eight of these subgroups fit the correlated factors model, none fit the original bifactor model, four subgroups fit the revised bifactor model, and one subgroup fit the single-factor model. Correlates of the factors also varied substantially between the subgroups fitted to the same model. We discuss the implications of the findings, including the implications for the development of universal substantive factors of psychopathology.

Going "Up" to Move Forward: S-1 Bifactor Models and the Study of Neurocognitive Abilities in Psychopathology.

Recently, structural models of psychopathology, that address the diagnostic stability and comorbidity issues of the traditional nosological approach, have dominated much of the psychopathology literature. Structural approaches have given rise to the p-factor, which is claimed to reflect an individual's propensity toward all common psychopathological symptoms. Neurocognitive abilities are argued to be important to the development and maintenance of a wide range of disorders, and have been suggested as an important driver of the p-factor. However, recent evidence argues against p being an interpretable substantive construct, limiting conclusions that can be drawn from associations between p, the specific factors of a psychopathology model, and neurocognitive abilities. Here, we argue for the use of the S-1 bifactor approach, where the general factor is defined by neurocognitive abilities, to explore the association between neurocognitive performance and a wide range of psychopathological symptoms. We use simulation techniques to give examples of how S-1 bifactor models can be used to examine this relationship, and how the results can be interpreted.

A Conceptual Model of Long-Term Weight Loss Maintenance: The Importance of Cognitive, Empirical and Computational Approaches.

Living with obesity is related to numerous negative health outcomes, including various cancers, type II diabetes, and cardiovascular disease. Although much is known about the factors associated with obesity, and a range of weight loss interventions have been established, changing health-related behaviours to positively affect obesity outcomes has proven difficult. In this paper, we first draw together major factors that have emerged within the literature on weight loss to describe a new conceptual framework of long-term weight loss maintenance. Key to this framework is the suggestion that increased positive social support influences a reduction in psychosocial stress, and that this has the effect of promoting better executive functioning which in turn facilitates the development of healthy habits and the breaking of unhealthy habits, leading to improved ongoing maintenance of weight loss. We then outline how the use of computational approaches are an essential next step, to more rigorously test conceptual frameworks, such as the one we propose, and the benefits that a mixture of conceptual, empirical and computational approaches offer to the field of health psychology.

An intervention designed to investigate habit formation in a novel health behaviour.

OBJECTIVES: Understanding how to help people form habits is important in improving health interventions. The impact of two behaviour change techniques on behaviour (cues and monitoring) was tested, and the role of psychosocial factors that may predict behaviour change and habit formation were investigated. Methods: Participants (N = 186) were randomised to one of six conditions (behaviour monitoring vs habit monitoring vs irrelevant behaviour monitoring and cued vs not cued) and instructed to engage in a specific, novel behaviour every day for the following 3 weeks. Participants completed measures of behaviour, habit strength, prospective memory, attitude, intention, self-efficacy and motivation at three time points (pre-, post- and one-week follow-up). Results: All participants increased habit strength and behaviour. Post-hoc, it was found that community members, compared to students, developed stronger habits and maintained the behaviour and habit strength at one-week follow-up. Intention, behaviour and habit strength post-intervention moderated behaviour and habit strength maintenance. Conclusion: This research furthers our understanding of how to help people form healthy habits. It was found that any intervention seems to be effective in forming a habit and changing behaviour. Moreover, intention, habit and behaviour were the most important predictors of behaviour change and habit formation maintenance.

The effect of psychological distress on self-care intention and behaviour in young adults with type 1 diabetes.

An extended theory of planned behaviour including psychological distress was used to predict blood glucose monitoring in young adults with type 1 diabetes. Participants completed two surveys, a week apart (n = 167). Attitudes and perceived behavioural control were significantly associated with intention but subjective norm was not. Intention predicted blood glucose monitoring at T2. Higher scores in psychological distress significantly predicted poorer blood glucose monitoring at T2 but did not moderate the intention-behaviour relationship. Findings demonstrate some concerns with the theory of planned behaviour to predict self-care behaviour, yet highlight the importance of addressing psychological distress in diabetes self-management.

The lived experience of young Australian adults with type 1 diabetes.

The purpose of the research was to explore the challenges, frustrations and experiences faced by young Australian adults with type 1 diabetes. We focused on the navigation of health behaviours (e.g. eating out, consuming alcohol, physical activity), which impact blood glucose levels, posing particular challenges for people with type 1 diabetes. Semi-structured interviews were conducted with 25 young adults with type 1 diabetes, between May and August 2016. Interviews were transcribed verbatim, and coded using thematic analysis. Participants reported that the experience of type 1 diabetes made simple things complicated and involved constant vigilance and control. Difficult experiences in social situations were also mentioned; participants felt that their privacy was often threatened, that people voiced misunderstandings about type 1 diabetes, and that members of the public often judge and critique their health behaviours or lifestyle choices. Simple behaviours like eating out with friends, responsible alcohol consumption, and engaging in physical activity pose particular challenges for young people with type 1 diabetes. Public education may reduce stigma and improve health behaviour.

Predicting intention to receive a seasonal influenza vaccination using Protection Motivation Theory.

RATIONALE: Seasonal influenza vaccination rates are below the recommended targets, contributing to significant preventable harms. Protection Motivation Theory (PMT), a widely applied model of motivation to respond to threats, may provide some insights into strategies to increase the rate of vaccine uptake. Yet, previous research has omitted some of the proposed predictors of intention when applying this model to vaccination. OBJECTIVE: The aim of the study is to assess the utility of the PMT in predicting intention to obtain the seasonal influenza vaccine. This study will be the first to examine the role of all six PMT constructs in predicting intention to receive the seasonal influenza vaccine. METHOD: A cross-sectional study of 547 US residents was conducted using Amazon MTurk. RESULTS: All constructs show significant bivariate correlations in the direction expected from the prior literature. Further examination of the theory within a linear regression model, however, found that perceived costs of vaccinating (i.e., response costs) did not uniquely account for variance in intention. All other components, perceived severity of and susceptibility to influenza, the perceived benefits of not vaccinating (i.e., maladaptive response rewards), the self-efficacy to vaccinate, and the perceived efficacy of vaccinating in preventing influenza (i.e., response efficacy) were unique predictors of intention. Overall, the PMT accounted for 62% of the variance in intention to vaccinate. CONCLUSIONS: The study is the first to investigate influenza vaccination using all six theorised predictors of intention from the PMT. The findings highlight the importance of the simultaneous inclusion of all components of the model in assessing their potential utility as targets for intervention. Importantly, the results identify under-utilised constructs in the promotion of vaccine uptake, such as maladaptive response rewards, which should be considered targets for future intervention.