Does Intention Strength Moderate the Intention-Health Behavior Relationship for Covid-19 Protection Behaviors?

BACKGROUND AND PURPOSE: The present research tests whether intention strength moderates intention-health behavior relations and the extent to which this is accounted for by the moderating effects of intention stability, goal priority, and goal conflict. METHODS: In a prospective multi-behavior study, a representative sample of UK adults (N = 503) completed measures of past behavior, intention, intention strength, goal priority, and goal conflict in relation to eight Covid-19 protection behaviors at time 1. Intention and self-reported behavior were assessed at time 2 (2 months later). Intention stability was assessed over 2 months. RESULTS: Intention strength was a significant moderator of the intention-behavior relationship (controlling for past behavior). Controlling for the moderating effects of intention stability attenuated the moderating effect of intention strength, while also controlling for the moderating effects of goal priority and goal conflict reduced the moderating effects of intention strength to nonsignificance. CONCLUSIONS: The present findings indicate that intention strength is a significant moderator of the intention-health behavior relationship. They also suggest that the moderating effect of intention strength is explained by effects on intention stability, goal priority, and goal conflict. Tests of interventions to manipulate intention strength as a means to strengthen intention stability and intention-behavior relations are warranted.

Predictors of engaging in eight Covid-19 protection behaviors (e.g., wearing face coverings, social distancing) were examined in a representative sample of adults in the UK in November 2021. Intentions to engage in these behaviors (e.g., "I will try to wear a face covering in public places in the next two months") were a strong predictor of self-reported engagement 2 months later, even when taking account of people's past behavior. Importantly, people's intentions were more predictive of behavior when intentions were judged to be strong (e.g., important, based on a lot of thought). Further analyses revealed that the enhanced effect of strong intentions on behavior was due to strong intentions being more stable over time, and being given greater priority over, and not conflicting with, other goals. Increasing the strength of people's intentions may be a useful and novel way to increase performance of health-protection behaviors.

An Age-Progression Intervention for Smoking Cessation: A Pilot Study Investigating the Influence of Two Sets of Instructions on Intervention Efficacy.

BACKGROUND: Research on age-progression facial morphing interventions for smoking cessation has not investigated the effect of different instructions for intervention delivery. The objective of this pilot study was to investigate the influence of two instruction types used to deliver the intervention on efficacy of the intervention. METHOD: Women were recruited and randomly allocated to an age-progression intervention session with (i) neutral instructions; (ii) instructions designed to reassure; or (iii) a condition that controlled for participant engagement ("control"). The conditions were delivered in a one-time procedure, after which primary (quitting intentions) and secondary (cigarettes/week, quit attempts) outcomes were measured immediately post-intervention, and at 1 and 3 months. RESULTS: Seventy-two women (M = 25.7; SD = 0.9) were recruited and randomly allocated to condition (Neutral n = 27, Reassuring n = 22, Control n = 23). Quitting intentions were higher in the Reassuring versus Control arm (3 months post-intervention, F = 4.37, p = 0.016, 95% CI [0.231, 2.539], eta2 = 0.11); quit attempts were greater in the two intervention arms (58%) versus Control (1-month post-intervention, 15%) (χ2 = 9.83, p < 0.05, OR 1.00 [0.28, 3.63]). CONCLUSIONS: Findings highlight the importance of optimising instructions to enhance intervention efficacy. TRIAL REGISTRATION: clinicaltrials.gov Record: NCT03749382.

Impacts of the COVID-19 public health emergency on healthcare professional delivery of opportunistic behaviour change interventions: a retrospective cohort study.

BACKGROUND: The public health policy "Making Every Contact Count" (MECC) compels healthcare professionals to deliver health behaviour change interventions during routine consultations. As healthcare systems continue their recovery from the impacts of the COVID-19 public health emergency, supporting people to modify health behaviours is more important now than when the policy was introduced. The present study aims to: (a) examine changes in healthcare professionals' awareness of, and engagement with the policy over a five-year period, (b) examine the psychosocial drivers associated with delivering behaviour change interventions, and (c) identify targets to increase healthcare professionals' delivery of interventions. METHODS: Comparison of data from two independent representative surveys of NHS healthcare professionals working in the UK. In both surveys (July-September 2017; N = 1387, and February-March 2022; N = 1008), participants were asked to report: (1) awareness of the MECC policy, (2) the prevalence of MECC-related practice (perceived patient benefit, how often interventions were delivered, and time spent delivering interventions), and (3) perceptions of capabilities, opportunities and motivations to deliver behaviour change interventions. T- tests (independent-samples), MANOVA, multiple linear regression, and chi-square analyses were used to generate comparisons between the surveys. RESULTS: Awareness of the policy increased from 2017 (31.4%) to 2022 (52.0%). However, in 2022 compared with 2017, healthcare professionals reported (a) fewer patients would benefit from behaviour change interventions (49.1% versus 55.9%), (b) they delivered behaviour change interventions to a lower proportion of patients (38.0% versus 50.0%), and (c) they spent a lower proportion of the consultation time delivering interventions (26.5% versus 35.3%). Further, in 2022, compared with 2017, healthcare professionals reported fewer physical opportunities, fewer social opportunities, and fewer psychological capabilities to deliver behaviour change interventions. In the 2022 survey, perceptions of patient benefit and delivery of interventions was associated with greater perceptions of opportunities and motivations. CONCLUSIONS: Health behaviour change interventions remain an important part of routine healthcare in the continued recovery from COVID-19 public health emergency, however reported engagement with MECC-related practices appears to have reduced over time. Future research should consider how healthcare professionals identify patients who might benefit from opportunistic behaviour change interventions, and to increase capabilities, opportunities, and motivations to deliver interventions during routine consultations.

How Does Self-Control Promote Health Behaviors? A Multi-Behavior Test of Five Potential Pathways.

BACKGROUND: Self-control is generally defined as the capacity to override impulses and is a robust predictor of health behaviors. This paper integrates trait, reasoned action, and habit approaches to develop and test a mechanistic account of how self-control influences health actions. PURPOSE: We tested five potential pathways from self-control to behavior, termed the valuation, prioritization, habituation, translation, and inhibition routes. METHODS: At baseline, participants (N = 663 adults) completed survey measures of reasoned action approach variables and habits in relation to eight health behaviors and the Brief Self-Control Scale. Three months later, participants reported their behavior. Multi-level modeling was used to test pathways across behaviors. RESULTS: Supporting the valuation route, affective attitude, cognitive attitude, descriptive norms, and perceived behavioral control mediated the self-control-intention relation, and intentions and perceived behavioral control mediated the relationship between self-control and health behaviors. Self-control also predicted the priority accorded to different considerations during intention formation. Higher self-control was associated with stronger prediction by cognitive attitudes and perceived behavioral control and weaker prediction by habits and injunctive norms. Self-control predicted habit formation, and habits mediated the self-control-behavior relation. Finally, self-control was associated with the improved translation of intentions into health behaviors and with greater inhibition of affective and habitual influences. Findings for the different pathways were not moderated by whether approach (health-protective behaviors) or avoidance responses (health-risk behaviors) were at issue. CONCLUSIONS: The present research offers new insights into why self-control promotes health behavior performance, and how deficits in self-control might be offset in future behavior-change interventions.

Self-control is the capacity to override impulses and is known to predict engagement in health behaviors. This article tests five hypotheses about how self-control drives health actions. We find that high self-control not only helps to override impulses (feelings and habits), it also influences (a) how favorable are people's thoughts, feelings, and intentions about health behaviors, (b) what considerations determine the intention to act (e.g., high self-control means people give higher priority to the perceived healthiness of the behavior and how much control they have over its performance), (c) whether people form habits that make it less effortful to perform health behaviors, and (d) how effectively people translate their "good" intentions into health behaviors. Thus, we find support for five different routes from self-control to engagement in health behaviors.

Memory and mood changes in pregnancy: a qualitative content analysis of women's first-hand accounts.

OBJECTIVE: This qualitative study aimed to explore how pregnant women and new mothers self-report changes to their mood and memory during pregnancy. BACKGROUND: Researchers have investigated the various changes that women report throughout their pregnancy. Despite this evidence base, there is a notable lack of studies that take a qualitative approach to understanding how pregnant women and women in the postpartum period experience memory and mood changes through their pregnancy. METHOD: The present study involved a qualitative content analysis of women's first-hand accounts. Of the 423 participants who responded, 118 participants provided textual responses to questions about their memory and 288 participants provided textual responses to questions about their mood. Data were collected online via a free-text survey and analysed using both deductive inductive open coding. RESULTS: A qualitative content analysis generated four overall categories: two typologies of self-reported memory changes in pregnancy ('short-term memory lapses' and 'chronic memory fog') and two typologies of self-reported mood changes ('mood instability and constant change' and 'low mood and parenting anxiety'). CONCLUSION: These typologies represent unique profiles of the memory and mood changes that women experience during pregnancy and serve to accompany and expand the quantitative literature, which documents the changes women experience during pregnancy.

Does Temporal Stability Moderate Reasoned Action Approach Relations With Covid-19 Preventive Behaviors?

BACKGROUND: Preventive behaviors continue to play an important role in reducing the spread of the SARS-CoV-2 virus. PURPOSE: This study aimed to apply the reasoned action approach (RAA) to predict Covid-19 preventive intentions and behavior and to test whether temporal stability moderates relations between RAA constructs and behavior. METHODS: A representative sample of UK adults (N = 603) completed measures of RAA variables (i.e., experiential attitudes, instrumental attitudes, injunctive norms, descriptive norms, capacity, autonomy and intention) in relation to six Covid-19 preventive behaviors (i.e., wearing face coverings, social distancing, hand sanitizing, avoiding the three Cs [closed spaces, crowded places, and close contacts], cleaning surfaces, and coughing/sneezing etiquette) at baseline (December 2020) and after 1 month. Self-reported behavior was assessed at baseline and after 1 and 2 months. RESULTS: The RAA was predictive of Covid-19 preventive intentions at time 1 and time 2; instrumental attitudes, descriptive norms, and capability were the strongest predictors at each time point. The RAA also predicted subsequent behavior across time points with intention, descriptive norms, and capability the strongest/most consistent predictors. Temporal stability moderated a number of RAA-behavior relationships including those for intention, descriptive norms, and capability. In each case, the relationships became stronger as temporal stability increased. CONCLUSIONS: Health cognitions as outlined in the RAA provide appropriate targets for interventions to promote Covid-19 preventive intentions and behavior. Moreover, given that continued performance of Covid-19 preventive behaviors is crucial for reducing transmission of the SARS-CoV-2 virus, the results highlight the need for consistent messaging from governments and public health organizations to promote positive intentions and maintain preventive behavior.

Organic food labels bias food healthiness perceptions: Estimating healthiness equivalence using a Discrete Choice Experiment.

Individuals perceive organic food as being healthier and containing fewer calories than conventional foods. We provide an alternative way to investigate this organic halo effect using a mirrored method to Choice Experiments applied to healthiness judgments. In an experimental study (N = 415), we examined whether healthiness judgments toward a 200 g cookie box are impacted by the organic label, nutrition information (fat and sugar levels), and price and determined the relative importance of these attributes. In particular, we assessed whether food with an organic label could contain more fat or sugar and yet be judged to be of equivalent healthiness to food without this label. We hoped to estimate the magnitude of any such effect. Moreover, we explored whether these effects were obtained when including a widely used system for labeling food healthiness, the Traffic Light System. Although participants' healthiness choices were mainly driven by the reported fat and sugar content, the organic label also influenced healthiness judgments. Participants showed an organic halo effect leading them to consider the organic cookie as healthy as a conventional one despite containing more fat and sugar. Specifically, they considered the organic cookie as equivalent in healthiness to a conventional one, although containing 14% more of the daily reference intake for sugar and 30% more for fat. These effects did not change when including the Traffic Light System. This effect of the organic label could have implications for fat and sugar intake and consequent impacts on health outcomes.

Exploring the effects of positive and negative emotions on eating behaviours in children and young adults.

It is well established that stress can elicit change in a range of eating behaviours, however, less is known about these effects in children and young adults. In addition, there is a growing interest in investigating the role of positive as well as negative emotions as triggers of food intake in children. Therefore, the current study aimed to explore the relationship between positive and negative emotions and eating behaviour in children (aged 9-10 years old) and young adults together with the moderating effects of eating styles (emotional and external eating). A questionnaire design was used to investigate the effects of positive and negative emotions on snacking responses in children and young adults (children, N = 53, young adults, N = 72). Eating styles were assessed using the Dutch Eating Behaviour Questionnaire. We found that children reported wanting to eat more snacks in response to positive emotions, while young adults reported wanting to eat more snacks in response to negative emotions. Emotional and external eating styles moderated the positive and negative emotions - eating response relationship. Future research should include both positive and negative emotions when examining the influence of stress and emotions on eating, particularly when exploring the triggers of food intake amongst children.

Socioeconomic Status Moderates the Effects of Health Cognitions on Health Behaviors within Participants: Two Multibehavior Studies.

BACKGROUND: Socioeconomic differences in health-related behaviors are a major cause of health inequalities. However, the mechanisms (mediation/moderation) by which socioeconomic status (SES) affects health behavior are a topic of ongoing debate. PURPOSE: Current research on SES as moderator of the health cognitions-health behavior relation is inconsistent. Previous studies are limited by diverse operationalizations of SES and health behaviors, demographically narrow samples, and between-person designs addressing within-person processes. This paper presents two studies addressing these shortcomings in a within-person multibehavior framework using hierarchical linear models. METHODS: Two online studies, one cross-sectional and one 4 week longitudinal, assessed 1,005 (Study 1; Amazon MTurk; USA only) and 1,273 participants (Study 2; Prolific; international). Self-reports of multiple SES indicators (education, income, occupation status; ZIP code in Study 1), health cognitions (from the theory of planned behavior), and measures of six health behaviors were taken. Multilevel models with cross-level interactions tested whether the within-person relationships between health cognitions and behaviors differed by between-person SES. RESULTS: Education significantly moderated intention-behavior and attitude-behavior relationships in both studies, with more educated individuals showing stronger positive relationships. In addition, ZIP-level SES (Study 1) moderated attitude-behavior effects such that these relationships were stronger in participants living in areas with higher SES. CONCLUSIONS: Education appears to be an important resource for the translation of intentions and attitudes into behavior. Other SES indicators showed less consistent effects. This has implications for interventions aiming at increasing intentions to change health behaviors, as some interventions might inadvertently increase health inequalities.

Evidence that an intervention weakens the relationship between adolescent electronic cigarette use and tobacco smoking: a 24-month prospective study.

BACKGROUND: The electronic cigarette (e-cigarette) use to subsequent smoking relationship in adolescents has received much attention. Whether an intervention to reduce smoking initiation attenuated this relationship was assessed. METHOD: Data were from 3994 adolescent never smokers (aged 13-14 years at baseline) as part of a cluster randomised controlled trial. Self-report measures of smoking, e-cigarette use and covariates were assessed and used to predict ever smoked cigarettes, any recent tobacco smoking and regularly smoked cigarettes at 24-month follow-up. RESULTS: Baseline ever use of e-cigarettes was associated with ever smoked cigarettes (OR=4.03, 95% CI 3.33 to 4.88; controlling for covariates, OR=2.78, 95% CI 2.20 to 3.51), any recent tobacco smoking (OR=3.38, 95% CI 2.72 to 4.21; controlling for covariates, OR=2.17, 95% CI 1.76 to 2.69) and regularly smoked cigarettes (OR=3.60, 95% CI 2.35 to 5.51; controlling for covariates, OR=1.27, 95% CI 1.17 to 1.39) at follow-up. For ever smoked cigarettes only, the impact of e-cigarette use was attenuated in the intervention (OR=1.83) compared with control (OR=4.53) condition. For ever smoked cigarettes and any recent tobacco smoking, the impact of e-cigarette use was attenuated among those with friends who smoked (OR=2.05 (ever smoked); 1·53 (any tobacco use)) compared with those without friends who smoked (OR=3.32 (ever smoked); 2·17 (any tobacco use)). CONCLUSIONS: This is one of the first studies to show that e-cigarette use was robustly associated with measures of smoking over 24 months and the first to show an intervention to attenuate the relationship. Further research with a broader age range of adolescents is required.

Setting Realistic Health Goals: Antecedents and Consequences.

BACKGROUND: People often fail to translate their intentions into health behaviors. PURPOSE: The present research examined a new potential moderator of intention-behavior relations, namely, how realistic or unrealistic are respective goal intentions. Goal realism was defined as the degree to which intentions are aligned with expectations (i.e., predicted performance). METHODS: A validation study (N = 81) examined our novel goal realism measure. Study 1 (N = 246) tested goal importance, fantasy proneness, and pathways thinking as predictors of realistic goal setting using a cross-sectional questionnaire design. Moderation of the intention-behavior relation was tested in prospective surveys of cervical cancer screening (Study 2, N = 854), physical activity (Study 3, N = 237), and performance of a suite of 15 health behaviors (Study 4, N = 378). RESULTS: The validation study offered preliminary evidence concerning the convergent and predictive validity of the goal realism measure. Study 1 showed that goal importance, fantasy proneness, and pathways thinking interacted to predict how realistic were intentions to perform 11 health behaviors. In Study 2, realistic intentions better predicted women's attendance for cervical cancer screening compared with unrealistic intentions. Study 3 confirmed this finding for a frequently performed behavior (physical activity). In Study 4, multilevel modeling of longitudinal data for 15 health behaviors again revealed a significant goal realism × intention interaction. Greater realism was associated with improved prediction of behavior by intention. The interaction term remained significant even when past behavior, perceived behavioral control, and other predictors were taken into account. CONCLUSIONS: The present findings offer new insights into the factors that lead to more realistic intentions and demonstrate that goal realism influences how effectively intentions are translated into action.

Electronic Systems for Patients to Report and Manage Side Effects of Cancer Treatment: Systematic Review.

BACKGROUND: There has been a dramatic increase in the development of electronic systems to support cancer patients to report and manage side effects of treatment from home. Systems vary in the features they offer to patients, which may affect how patients engage with them and how they improve patient-centered outcomes. OBJECTIVE: This review aimed to (1) describe the features and functions of existing electronic symptom reporting systems (eg, symptom monitoring, tailored self-management advice), and (2) explore which features may be associated with patient engagement and patient-centered outcomes. METHODS: The review was registered with the International Prospective Register of Systematic Reviews (PROSPERO) and followed guidelines from the Centre for Reviews and Dissemination (University of York, United Kingdom). Primary searches were undertaken of MEDLINE, Embase, PsycInfo, Web of Science, Cochrane Central Register of Controlled Trials, and the Health Technology Assessment databases. Secondary searches were undertaken by screening reference lists and citations. Two researchers applied broad inclusion criteria to identify and select relevant records. Data were extracted and summarized using Microsoft Excel. In order to meet the aims, the study selection, data extraction, and data synthesis comprised two stages: (1) identifying and characterizing available systems and (2) summarizing data on patient engagement and patient-centered outcomes. RESULTS: We identified 77 publications relating to 41 distinct systems. In Stage 1, all publications were included (N=77). The features identified that supported clinicians and care were facility for health professionals to remotely access and monitor patient-reported data (24/41, 58%) and function to send alerts to health professionals for severe symptoms (17/41, 41%). Features that supported patients were facility for patients to monitor/review their symptom reports over time (eg, graphs) (19/41, 46%), general patient information about cancer treatment and side effects (17/41, 41%), tailored automated patient advice on symptom management (12/41, 29%), feature for patients to communicate with the health care team (6/41, 15%), and a forum for patients to communicate with one another (4/41, 10%). In Stage 2, only publications that included some data on patient engagement or patient-centered outcomes were included (N=29). A lack of consistency between studies in how engagement was defined, measured, or reported, and a wide range of methods chosen to evaluate systems meant that it was not possible to compare across studies or make conclusions on relationships with system features. CONCLUSIONS: Electronic systems have the potential to help patients manage side effects of cancer treatment, with some evidence to suggest a positive effect on patient-centered outcomes. However, comparison across studies is difficult due to the wide range of assessment tools used. There is a need to develop guidelines for assessing and reporting engagement with systems, and a set of core outcomes for evaluation. We hope that this review will contribute to the field by introducing a taxonomy for characterizing system features. TRIAL REGISTRATION: PROSPERO CRD42016035915; www.crd.york.ac.uk/PROSPERO/display_record.asp?ID=CRD42016035915.

Feel good now or regret it later? The respective roles of affective attitudes and anticipated affective reactions for explaining health-promoting and health risk behavioral intentions.

Evidence supporting the incorporation of affective constructs, such as affective attitudes and anticipated regret, into theoretical models of health behavior has been mounting in recent years; however, the role of positive anticipated affective reactions (e.g., pride) has been largely unexplored. The purpose of the present investigation was to assess how affective attitudes and anticipated affective reactions (both pride and regret for performing a behavior or not) may provide distinct utility for understanding intentions to perform health-promoting and health risk behaviors over and above cognitive attitudes and other established theoretical constructs from the theory of planned behavior (TPB). Participants (N = 210) were recruited via Amazon's Mechanical Turk to complete a one-time online battery assessing TPB and affective constructs. Self-reported intentions served as the main outcome measure, and hierarchical linear modeling was used to examine the effects of TPB and affective constructs across behaviors. Controlling for TPB constructs, more positive affective attitudes and greater anticipated regret, but not anticipated pride, predicted intentions to engage in future health behaviors. Anticipated affective reactions contributed explanatory variance for intentions to perform health risk behaviors, but anticipated pride and regret were not associated with intentions to perform health risk behaviors. Contributions made via the inclusion of both positively and negatively valence anticipated affective reactions for both action and inaction (performing a behavior or not) across a range of health promoting and health risk behaviors are discussed, as well as implications for future intervention work.

Enhanced Invitations Using the Question-Behavior Effect and Financial Incentives to Promote Health Check Uptake in Primary Care.

Background: Uptake of health checks for cardiovascular risk assessment in primary care in England is lower than anticipated. The question-behavior effect (QBE) may offer a simple, scalable intervention to increase health check uptake. Purpose: The present study aimed to evaluate the effectiveness of enhanced invitation methods employing the QBE, with or without a financial incentive to return the questionnaire, at increasing uptake of health checks. Methods: We conducted a three-arm randomized trial including all patients at 18 general practices in two London boroughs, who were invited for health checks from July 2013 to December 2014. Participants were randomized to three trial arms: (i) Standard health check invitation letter only; (ii) QBE questionnaire followed by standard invitation letter; or (iii) QBE questionnaire with offer of a financial incentive to return the questionnaire, followed by standard invitation letter. In intention to treat analysis, the primary outcome of completion of health check within 6 months of invitation, was evaluated using a p value of .0167 for significance. Results: 12,459 participants were randomized. Health check uptake was evaluated for 12,052 (97%) with outcome data collected. Health check uptake within 6 months of invitation was: standard invitation, 590 / 4,095 (14.41%); QBE questionnaire, 630 / 3,988 (15.80%); QBE questionnaire and financial incentive, 629 / 3,969 (15.85%). Difference following QBE questionnaire, 1.43% (95% confidence interval -0.12 to 2.97%, p = .070); following QBE questionnaire and financial incentive, 1.52% (-0.03 to 3.07%, p = .054). Conclusions: Uptake of health checks following a standard invitation was low and not significantly increased through enhanced invitation methods using the QBE.

Relationship between work-family conflict and unhealthy eating: Does eating style matter?

There is increasing evidence to suggest that work-family conflict is implicated in poor eating patterns. Yet, the underlying mechanism remains unexplored. The objectives of the present study were to demonstrate the interplay between work-family conflict, eating style, and unhealthy eating, and to test whether body mass index (BMI) and its interactions further explicate the relationships. In this study, 586 Malaysian adults (normal weight n = 437, overweight n = 149) completed a questionnaire, which included demographic variables, work-family scales, eating style measures, namely, restrained, emotional or external eating and reported food intake. As hypothesized, results showed that family-to-work conflict (FWC), emotional eating and external eating were positively related to unhealthy food consumption. In addition, emotional eating was found to moderate the impact of FCW on eating. These findings are consistent with research that has revealed emotional eating can indeed increase the positive association between stress such as conflict and unhealthy food choices. However, we found no clear support for the interactive effects of BMI. Our research builds on the findings of existing research as it demonstrates the role of eating style in explaining the association between work-family conflict and unhealthy eating. This conclusion has potential implications for appropriate interventions and calls for the enhancement of various policies to tackle obesity and other health problems.

Promoting water intake. The persuasiveness of a messaging intervention based on anticipated negative affective reactions and self-monitoring.

The present research focused on water intake (WI) in young adults. Study 1 (N = 272) was a correlational study and showed affective attitude, perceived behavioural control, past behaviour and anticipated negative affective reactions (ANAR) to predict WI intentions. It also showed intentions, instrumental attitude, perceived behavioural control, and past behaviour to predict WI prospectively. In addition, ANAR moderates the relationship between intention and future water intake (WI). Study 2 (N = 197) was an experimental study and showed that daily text messages targeting ANAR plus a self-monitoring manipulation increased WI immediately after the intervention although this effect did not persist one month later. Mediation analysis indicated the intervention impacted WI via sequentially changing ANAR and intention.

Stress and eating behaviors in children and adolescents: Systematic review and meta-analysis.

It is well established that stress is linked to changes in eating behaviors. Research using adult populations has shown that stress is associated with both increases and decreases in the amount and type of food consumed. However, due to a lack of research reviews, the relationship between stress and eating behaviors in children is unclear. This systematic research review and meta-analysis aimed to identify whether stress is associated with healthy and unhealthy eating behaviors in children aged 8-18 years. Studies were included in the review if they measured stress and included a measure of food consumption. All unique studies retrieved (N = 28,070) were assessed for their eligibility at title, abstract and full text levels. A total of 13 studies were included in the final review and data were analysed using Comprehensive Meta-Analysis. Using random-effects modelling, overall stress was not associated with a change in overall eating behaviors. However, additional analyses indicated stress was associated with unhealthy eating behaviors in both younger (Hedge's g = 0.283, p < 0.001) and older (Hedge's g = 0.274, p = 0.001) children. In contrast, stress was not associated with healthy eating behaviors in younger children (Hedge's g = 0.093, p = 0.156), but was negatively associated with healthy eating behaviors in older children (Hedge's g = -0.384, p < 0.001). The current findings are concerning as they suggest the impact of stress on unhealthy eating may begin as early as 8 or 9 years old. Future research ought to investigate further the role of psychological, behavioral and endocrine factors in the development of stress-related eating in children.

Electronic patient self-Reporting of Adverse-events: Patient Information and aDvice (eRAPID): a randomised controlled trial in systemic cancer treatment.

BACKGROUND: eRAPID (electronic patient self-Reporting of Adverse-events: Patient Information and aDvice) is an internet based system for patients to self-report symptoms and side effects (adverse events or AE) of cancer treatments. eRAPID allows AE reporting from home and patient reported data is accessible via Electronic Patient Records (EPR) for use in routine care. The system can generate alerts to clinical teams for severe AE and provides patient advice on managing mild AEs. The overall aims of eRAPID are to improve the safe delivery of cancer treatments, enhance patient care and standardise AE documentation. METHODS: The trial is a prospective randomised two-arm parallel group design study with repeated measures and mixed methods. Participants (adult patients with breast cancer on neo-adjuvant or adjuvant chemotherapy, colorectal and gynaecological cancer receiving chemotherapy) are randomised to receive the eRAPID intervention or usual care over 18 weeks of treatment. Participants in the intervention arm receive training in using the eRAPID system to provide routine weekly adverse event reports from home. Hospital staff can access eRAPID reports via the EPR and use the information during consultations or phone calls with patients. Prior to commencing the full trial an internal pilot phase was conducted (N = 87 participants) to assess recruitment procedures, consent and attrition rates, the integrity of the intervention information technology and establish procedures for collecting outcome data. The overall target sample for the trial is N = 504. The primary outcome of the trial is quality of life (FACT-G) with secondary outcomes including health economics (costs to patients and the NHS), process of care (e.g. contacts with the hospital, number of admissions, clinic appointments and changes to treatment/medications) and patient self-efficacy. Outcome data is collected at baseline, 6, 12, 18 weeks and 12 months. The intervention is also being evaluated via end of study interviews with patient participants and clinical staff. DISCUSSION: The pilot phase was completed in February 2016 and recruitment and attrition rates met criteria for continuing to the full trial. Recruitment recommenced in May 2016 and is planned to continue until December 2017. Overall findings will determine the value of the eRAPID intervention for supporting the care of patients receiving systemic cancer treatment. TRIAL REGISTRATION: Current Controlled Trials ISRCTN88520246 . Registered 11 September 2014.

Do electronic cigarettes increase cigarette smoking in UK adolescents? Evidence from a 12-month prospective study.

BACKGROUND: In cross-sectional surveys, increasing numbers of adolescents report using both electronic cigarettes (e-cigarettes) and cigarettes. This study assessed whether adolescent e-cigarette use was associated prospectively with initiation or escalation of cigarette use. METHODS: Data were from 2836 adolescents (aged 13-14 years at baseline) in 20 schools in England. At baseline, breath carbon monoxide levels, self-reported e-cigarette and cigarette use, sex, age, friends and family smoking, beliefs about cigarette use and percentage receiving free school meals (measure of socioeconomic status) were assessed. At 12-month follow-up, self-reported cigarette use was assessed and validated by breath carbon monoxide levels. RESULTS: At baseline, 34.2% of adolescents reported ever using e-cigarettes (16.0% used only e-cigarettes). Baseline ever use of e-cigarettes was strongly associated with subsequent initiation (n=1726; OR 5.38, 95% CI 4.02 to 7.22; controlling for covariates, OR 4.06, 95% CI 2.94 to 5.60) and escalation (n=318; OR 1.91, 95% CI 1.14 to 3.21; controlling for covariates, this effect became non-significant, OR 1.39, 95% CI 0.97 to 1.82) of cigarette use. CONCLUSIONS: This is the first study to report prospective relationships between ever use of e-cigarettes and initiation and escalation of cigarette use among UK adolescents. Ever use of e-cigarettes was robustly associated with initiation but more modestly related to escalation of cigarette use. Further research with longer follow-up in a broader age range of adolescents is required.

Is there a role for patients and their relatives in escalating clinical deterioration in hospital? A systematic review.

BACKGROUND: Measures exist to improve early recognition of, and response to, deteriorating patients in hospital. However, deteriorating patients continue to go unrecognized. To address this, interventions have been developed that invite patients and relatives to escalate patient deterioration to a rapid response team (RRT). OBJECTIVE: To systematically review articles that describe these interventions and investigate their effectiveness at reducing preventable deterioration. SEARCH STRATEGY: Following PRISMA guidelines, four electronic databases and two web search engines were searched to identify literature investigating patient and relative led escalation. INCLUSION CRITERIA: Articles investigating the implementation or use of systems involving patients and relatives in the detection of clinical patient deterioration and escalation of patient care to address any clinical or non-clinical outcomes were included. Articles' eligibility was validated by a second reviewer (20%). DATA EXTRACTION: Data were extracted according to pre-defined criteria. DATA SYNTHESIS: Narrative synthesis was applied to included studies. MAIN RESULTS: Nine empirical studies and 36 grey literature articles were included in the review. Limited studies were conducted to establish the clinical effectiveness of patient and relative led escalation. Instead, studies investigated the impact of this intervention on health-care staff and available resources. Although appropriate, this reflects the infancy of research in this area. Patients and relatives did not overwhelm resources by activating the RRT. However, they did activate it to address concerns unrelated to patient deterioration. CONCLUSIONS: Activating a RRT may not be the most appropriate or cost-effective method of resolving non-life-threatening concerns.