What are the similarities and differences in lung cancer symptom appraisal and help-seeking according to smoking status? A qualitative study with lung cancer patients.

OBJECTIVE: Lung cancer in never-smokers represents a growing proportion of patients. The relationship between smoking status, symptom appraisal and help-seeking behaviour is complex. Little is known about cancer symptom-related health behaviours according to smoking status. The aim of the study was to explore lung cancer patients' experiences of a lung cancer diagnosis, identifying differences by smoking history. METHOD: This was a qualitative study involving telephone interviews with 40 lung cancer patients (20 never smokers, 11 former smokers and 9 current smokers). We used framework analysis to analyse the data using the Common Sense Model of Illness Self-Regulation as a theoretical framework, developed after initial analysis. RESULTS: All patients were likely to delay seeking help for symptoms in primary care regardless of smoking history, but for different reasons. Smoking history was instrumental to how individuals perceived and responded to early symptoms of lung cancer. Differences in interpretation and coping responses to new symptoms seemed to be caused by the higher presence of comorbidities due to smoking, and perceptions of the current state of health. Individuals with a smoking history reported acting with urgency in seeking help and follow up, whereas patients who experienced low levels of concern were more easily reassured by clinicians, resulting in delays. CONCLUSIONS: Never and former smokers perceive, interpret, and respond to symptoms of lung cancer differently to smokers. However, few people attribute their lung symptoms to cancer initially, even with a smoking history. Interventions that drive increased urgency and vigilance in never smokers may be effective.

Water quality and probabilistic non-carcinogenic health risk of groundwater: a half decadal scenario change in Vadodara.

Groundwater is essential to secure the safety of water supply in Vadodara, Gujarat. In this study, groundwater samples were collected from various part of the city which separated in 12 wards. The present study contains analyses of 720 groundwater samples gathered from various tube and open wells and analyzed for fluoride and other physicochemical parameters during 2014 and 2019. The results indicated that fluoride and TDS were high and the overall water quality was poor in the study area. Gastrointestinal and other health-related issues increased due to higher TDS in east, north and northeast regions. Likewise, hierarchical cluster analysis also indicated that TDS and chloride-rich water. Fluoride concentration was observed in the range of 0.66-1.61 mg/l (2014) and 0.86-1.77 mg/l (2019) which indicates that 62% samples are unfit for drinking purpose, which could cause dental and skeletal fluorosis. The water quality index (WQI) indicated lack of excellent water in the studied area in the last half-decade. As per WQI calculation suggest that 82.12% (2014) and 69.00% (2019) of groundwater samples represent poor, very poor and unsuitable categories, whereas remaining 17.85% (2014) and 31.00% (2019) of the samples represent good category for drinking purposes in entire Vadodara, Gujarat. Marginal improvement in the groundwater quality is reported due to good rainfall in 2019. Health risks associated with high fluoride drinking water were assessed for various age groups of inhabitants such as children, infants and adults. The non-carcinogenic hazard quotient estimated by oral intake was 1.38-3.36 (2014) and 1.79-3.70 (2019) for infants; 0.69-1.68 (2014) and 0.90-1.85 (2019) for children, whereas 0.07-0.18 (2014) and 0.10-0.20 (2019) for adults. Therefore, infant and children are relatively at higher health risk due to the intake of fluoride-rich drinking water than adult in the studied region. Both indices were indicated contaminated water or closer to contamination which induced non-carcinogenic health risk on citizens. Thus, the comprehensive results of present study can be used as a baseline data and valuable tool for government authorities for long-term monitoring, health monitoring and sustainable development of Vadodara, Gujarat.

A Dynamic Risk Appraisal Model and Its Application in VTS Based on a Cellular Automata Simulation Prediction.

The successful implementation of Vessel Traffic Services (VTS) relies heavily on human decisions. With the increasing development of maritime traffic, there is an urgent need to provide a sound support for dynamic risk appraisals and decision support. This research introduces a cellular automata (CA) simulation-based modelling approach the objective of which is to analyze and evaluate real-time maritime traffic risks in port environments. The first component is the design of a CA model to monitor ships' behavior and maritime fairway traffic. The second component is the refinement of the modelling approach by combining a cloud model with expert knowledge. The third component establishes a risk assessment model based on a fuzzy comprehensive evaluation. A typical scenario was experimentally implemented to validate the model's efficiency and operationality.

Maladaptive Fall Risk Appraisal and Falling in Community-Dwelling Adults Aged 60 and Older: Implications for Screening.

OBJECTIVES: We aimed to examine the characteristics of maladaptive fall risk appraisal (FRA), discrepancies between physical and perceived-fall risk, and their associations with falls. METHODS: Fall risk appraisal was determined using the full-tandem stand test as an objective measure and the Fall Efficacy Scale-International as a subjective measure, and 433 adults aged ≥60 years from Thailand were classified into four groups: irrational (low physical/high perceived risk), incongruent (high physical/low perceived risk), congruent (high physical/high perceived risk) and rational (low physical/low perceived risk) FRAs. RESULTS: Only 20.8% of adults aged ≥60 years had rational FRA. The rest of the participants had either irrational (57.3%) or incongruent (2.3%), or congruent (19.6%) FRAs. Approximately 74% of those with congruent FRA reported experiencing a fall last year, followed by incongruent (60%), irrational (41.1%), and rational FRAs (27.8%, p < .001). After covariates adjustment, participants with congruent FRA were 3.06 times more likely of falling than those with rational FRA (p = .011). CONCLUSIONS: Maladaptive FRA is highly prevalent among adults aged ≥60. Identifying maladaptive FRA is essential for ensuring that adults aged ≥60 receiving early treatment associated with falls. CLINICAL IMPLICATIONS: Preventing a transition from rational to irrational, incongruent, and congruent fall risk appraisals is vital to prevent falls and mitigate this problematic health condition.

Self-reported health problems in a health risk appraisal predict permanent work disability: a prospective cohort study of 22,023 employees from different sectors in Finland with up to 6-year follow-up.

PURPOSE: Work disability (WD) as a medico-legal concept refers to disability benefits (DB) that are granted due to diseases that permanently reduce work ability. We studied whether an occupational healthcare instrument for the prediction of sickness absence (SA) risk-a health risk appraisal (HRA)-also predicts permanent WD. METHODS: HRA results were combined with registry data on DB of 22,023 employees from different industry sectors. We analysed how the HRA risk categories predict DB and considered occupational group, gender, age, and prior SA as confounding variables. Cumulative incidence function illustrates the difference between the HRA risk categories, and the Fine-Gray model estimates the predictors of WD during 6-year follow-up. RESULTS: The most common primary reasons for permanent WD were musculoskeletal (39%) and mental disorders (21%). Self-reported health problems in the HRA, labelled as "WD risk factors", predicted DB when controlling for age and prior SA. Hazard ratios were 10.9 or over with the lower limit of the 95% confidence interval 3.3 or over among those with two simultaneous WD risk factors. 14% of the females and 17% of the males with three or more simultaneous WD risk factors had received a DB, whereas the respective figures among those without findings were 1.9% and 0.3%. CONCLUSIONS: Self-reported health problems in the HRA, especially multiple simultaneous WD risk factors, predict permanent WD among both genders across occupational groups. Screening WD risk with a self-administered questionnaire is a potential means for identifying high-risk employees for targeting occupational healthcare actions.

Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study.

BACKGROUND: Asthma exacerbation is an acute or subacute episode of progressive worsening of asthma symptoms and can have a significant impact on patients' quality of life. However, efficient methods that can help identify personalized risk factors and make early predictions are lacking. OBJECTIVE: This study aims to use advanced deep learning models to better predict the risk of asthma exacerbations and to explore potential risk factors involved in progressive asthma. METHODS: We proposed a novel time-sensitive, attentive neural network to predict asthma exacerbation using clinical variables from large electronic health records. The clinical variables were collected from the Cerner Health Facts database between 1992 and 2015, including 31,433 adult patients with asthma. Interpretations on both patient and cohort levels were investigated based on the model parameters. RESULTS: The proposed model obtained an area under the curve value of 0.7003 through a five-fold cross-validation, which outperformed the baseline methods. The results also demonstrated that the addition of elapsed time embeddings considerably improved the prediction performance. Further analysis observed diverse distributions of contributing factors across patients as well as some possible cohort-level risk factors, which could be found supporting evidence from peer-reviewed literature such as respiratory diseases and esophageal reflux. CONCLUSIONS: The proposed neural network model performed better than previous methods for the prediction of asthma exacerbation. We believe that personalized risk scores and analyses of contributing factors can help clinicians better assess the individual's level of disease progression and afford the opportunity to adjust treatment, prevent exacerbation, and improve outcomes.

Bad Is Stronger Than Good for Stigmatized, but Not Admired Outgroups: Meta-Analytical Tests of Intergroup Valence Asymmetry in Individual-to-Group Generalization Experiments.

Theories of risk aversion, epistemic defense, and ingroup enhancement converge in predicting greater impact of negative (vs. positive) experiences with outgroup members on generalized evaluations of stigmatized outgroups. However, they diverge in predictions for admired outgroups. Past tests have focused on negative outgroups using correlational designs without a control group. Consequently, they have not distinguished between alternative explanations or ascertained the direction of causality/generalization, and they have suffered from self-selection biases. These limitations were redressed by a meta-analysis of experimental research on individual-to-group generalization with positive and negative outgroups (59 tests; 3,012 participants). Controlling for modest confounds, the meta-analysis found a generalization advantage of negative experiences for stigmatized outgroups and a generalization advantage of positive experiences for admired outgroups. These results highlight the centrality of valenced expectations about outgroups, consistent with epistemic defense and ingroup enhancement and inconsistent with risk aversion. Implications for positive changes in intergroup dynamics are discussed.

Patient-Level Prediction of Cardio-Cerebrovascular Events in Hypertension Using Nationwide Claims Data.

BACKGROUND: Prevention and management of chronic diseases are the main goals of national health maintenance programs. Previously widely used screening tools, such as Health Risk Appraisal, are restricted in their achievement this goal due to their limitations, such as static characteristics, accessibility, and generalizability. Hypertension is one of the most important chronic diseases requiring management via the nationwide health maintenance program, and health care providers should inform patients about their risks of a complication caused by hypertension. OBJECTIVE: Our goal was to develop and compare machine learning models predicting high-risk vascular diseases for hypertensive patients so that they can manage their blood pressure based on their risk level. METHODS: We used a 12-year longitudinal dataset of the nationwide sample cohort, which contains the data of 514,866 patients and allows tracking of patients' medical history across all health care providers in Korea (N=51,920). To ensure the generalizability of our models, we conducted an external validation using another national sample cohort dataset, comprising one million different patients, published by the National Health Insurance Service. From each dataset, we obtained the data of 74,535 and 59,738 patients with essential hypertension and developed machine learning models for predicting cardiovascular and cerebrovascular events. Six machine learning models were developed and compared for evaluating performances based on validation metrics. RESULTS: Machine learning algorithms enabled us to detect high-risk patients based on their medical history. The long short-term memory-based algorithm outperformed in the within test (F1-score=.772, external test F1-score=.613), and the random forest-based algorithm of risk prediction showed better performance over other machine learning algorithms concerning generalization (within test F1-score=.757, external test F1-score=.705). Concerning the number of features, in the within test, the long short-term memory-based algorithms outperformed regardless of the number of features. However, in the external test, the random forest-based algorithm was the best, irrespective of the number of features it encountered. CONCLUSIONS: We developed and compared machine learning models predicting high-risk vascular diseases in hypertensive patients so that they may manage their blood pressure based on their risk level. By relying on the prediction model, a government can predict high-risk patients at the nationwide level and establish health care policies in advance.

Perception, Interpretation, and Impact of Health Risk Appraisal Feedback: Pilot Studies of an Assessment Tool.

One mandate of the Affordable Care Act is continued support of workplace wellness programs. A tool used to encourage behavior change is a health risk appraisal (HRA). However, research indicates there is limited benefit to HRAs unless supported by additional health interventions. The purpose of these two pilot studies was to examine effects of the individual HRA personalized feedback, including the perceived value of the feedback and its influence on behavior change. Six months after completing and receiving HRA personalized feedback, participants in two separate Indiana organizations answered survey questions about the HRA value, motivational influence, and ability to prompt behavior change. Descriptive statistics, chi-square tests, analyses of variance, and factor analysis were used to analyze the influence of various factors and test the relationship between HRA generated feedback and these characteristics. The majority of respondents indicated the HRA was helpful with 69% (Study 1, n = 51) and 63% (Study 2, n = 116) of the respondents reporting an attempted behavior change. Preliminary results indicate that completion of an HRA with feedback alone may be beneficial in prompting behavior change.

Trajectories of Depressive Symptoms Among Web-Based Health Risk Assessment Participants.

BACKGROUND: Health risk assessments (HRAs), which often screen for depressive symptoms, are administered to millions of employees and health plan members each year. HRA data provide an opportunity to examine longitudinal trends in depressive symptomatology, as researchers have done previously with other populations. OBJECTIVE: The primary research questions were: (1) Can we observe longitudinal trajectories in HRA populations like those observed in other study samples? (2) Do HRA variables, which primarily reflect modifiable health risks, help us to identify predictors associated with these trajectories? (3) Can we make meaningful recommendations for population health management, applicable to HRA participants, based on predictors we identify? METHODS: This study used growth mixture modeling (GMM) to examine longitudinal trends in depressive symptomatology among 22,963 participants in a Web-based HRA used by US employers and health plans. The HRA assessed modifiable health risks and variables such as stress, sleep, and quality of life. RESULTS: Five classes were identified: A "minimal depression" class (63.91%, 14,676/22,963) whose scores were consistently low across time, a "low risk" class (19.89%, 4568/22,963) whose condition remained subthreshold, a "deteriorating" class (3.15%, 705/22,963) who began at subthreshold but approached severe depression by the end of the study, a "chronic" class (4.71%, 1081/22,963) who remained highly depressed over time, and a "remitting" class (8.42%, 1933/22,963) who had moderate depression to start, but crossed into minimal depression by the end. Among those with subthreshold symptoms, individuals who were male (P<.001) and older (P=.01) were less likely to show symptom deterioration, whereas current depression treatment (P<.001) and surprisingly, higher sleep quality (P<.001) were associated with increased probability of membership in the "deteriorating" class as compared with "low risk." Among participants with greater symptomatology to start, those in the "severe" class tended to be younger than the "remitting" class (P<.001). Lower baseline sleep quality (P<.001), quality of life (P<.001), stress level (P<.001), and current treatment involvement (P<.001) were all predictive of membership in the "severe" class. CONCLUSIONS: The trajectories identified were consistent with trends in previous research. The results identified some key predictors: we discuss those that mirror prior studies and offer some hypotheses as to why others did not. The finding that 1 in 5 HRA participants with subthreshold symptoms deteriorated to the point of clinical distress during succeeding years underscores the need to learn more about such individuals. We offer additional recommendations for follow-up research, which should be designed to reflect changes in health plan demographics and HRA delivery platforms. In addition to utilizing additional variables such as cognitive style to refine predictive models, future research could also begin to test the impact of more aggressive outreach strategies aimed at participants who are likely to deteriorate or remain significantly depressed over time.

What leads some people to think they are HIV-positive before knowing their diagnosis? A systematic review of psychological and behavioural correlates of HIV-risk perception.

Current HIV-risk perception refers to the extent to which individuals think they might be HIV-positive. This belief, distinct from the perceived risk about being infected with HIV in the future, is likely to have a range of important consequences. These consequences may include both psychological effects (e.g., impacts on well-being) and behavioural effects (e.g., HIV testing uptake). Given these possible outcomes, and the suggested importance of risk perception in health behaviour models, understanding the behavioural and psychological antecedents of current HIV-risk perception is crucial. This systematic review investigates the relationship between behavioural and psychological factors and current HIV-risk perception (in individuals who are unaware of their actual HIV status). Eight studies were eligible for inclusion in the review (five quantitative and three qualitative studies). Drug risk behaviour and sexual risk behaviour (both self and partner) were often associated with current HIV-risk perception, although other studies failed to show a relationship between one's own sexual risk behaviour and risk perception. Psychological factors were only rarely assessed in relation to current HIV-risk perception. Where these variables were included, there was evidence that experiencing symptoms perceived to be consistent with HIV and prompts to test were associated with increased current HIV-risk perception. These findings are consistent with the Common-Sense Model (CSM) of illness representation and self-regulation. Methodological quality criteria were rarely met for the included studies. In addition, it was often difficult to ascertain whether potentially includable studies were eligible due to imprecise definitions of HIV-risk perception. Research and practice implications are discussed, with particular emphasis on the role of risk appraisals as a potential mediator of the relationship between HIV-risk behaviour, symptoms and current HIV-risk perception.

Green Jobs: Definition and Method of Appraisal of Chemical and Biological Risks.

In the wake of sustainable development, green jobs are developing rapidly, changing the work environment. However a green job is not automatically a safe job. The aim of the study was to define green jobs, and to establish a preliminary risk assessment of chemical substances and biological agents for workers in Quebec. An operational definition was developed, along with criteria and sustainable development principles to discriminate green jobs from regular jobs. The potential toxicity or hazard associated with their chemical and biological exposures was assessed, and the workers' exposure appraised using an expert assessment method. A control banding approach was then used to assess risks for workers in selected green jobs. A double entry model allowed us to set priorities in terms of chemical or biological risk. Among jobs that present the highest risk potential, several are related to waste management. The developed method is flexible and could be adapted to better appraise the risks that workers are facing or to propose control measures.

Frequency and prioritization of patient health risks from a structured health risk assessment.

PURPOSE: To describe the frequency and patient-reported readiness to change, desire to discuss, and perceived importance of 13 health risk factors in a diverse range of primary care practices. METHODS: Patients (n = 1,707) in 9 primary care practices in the My Own Health Report (MOHR) trial reported general, behavioral, and psychosocial risk factors (body mass index [BMI], health status, diet, physical activity, sleep, drug use, stress, anxiety or worry, and depression). We classified responses as "at risk" or "healthy" for each factor, and patients indicated their readiness to change and/or desire to discuss identified risk factors with providers. Patients also selected 1 of the factors they were ready to change as most important. We then calculated frequencies within and across these factors and examined variation by patient characteristics and across practices. RESULTS: On average, patients had 5.8 (SD = 2.12; range, 0-13) unhealthy behaviors and mental health risk factors. About 55% of patients had more than 6 risk factors. On average, patients wanted to change 1.2 and discuss 0.7 risks. The most common risks were inadequate fruit/vegetable consumption (84.5%) and overweight/obesity (79.6%). Patients were most ready to change BMI (33.3%) and depression (30.7%), and most wanted to discuss depression (41.9%) and anxiety or worry (35.2%). Overall, patients rated health status as most important. CONCLUSIONS: Implementing routine comprehensive health risk assessments in primary care will likely identify a high number of behavioral and psychosocial health risks. By soliciting patient priorities, providers and patients can better manage counseling and behavior change.

Adoption, reach, implementation, and maintenance of a behavioral and mental health assessment in primary care.

PURPOSE: Guidelines recommend screening patients for unhealthy behaviors and mental health concerns. Health risk assessments can systematically identify patient needs and trigger care. This study seeks to evaluate whether primary care practices can routinely implement such assessments into routine care. METHODS: As part of a cluster-randomized pragmatic trial, 9 diverse primary care practices implemented My Own Health Report (MOHR)-an electronic or paper-based health behavior and mental health assessment and feedback system paired with counseling and goal setting. We observed how practices integrated MOHR into their workflows, what additional practice staff time it required, and what percentage of patients completed a MOHR assessment (Reach). RESULTS: Most practices approached (60%) agreed to adopt MOHR. How they implemented MOHR depended on practice resources, informatics capacity, and patient characteristics. Three practices mailed patients invitations to complete MOHR on the Web, 1 called patients and completed MOHR over the telephone, 1 had patients complete MOHR on paper in the office, and 4 had staff help patients complete MOHR on the Web in the office. Overall, 3,591 patients were approached and 1,782 completed MOHR (Reach = 49.6%). Reach varied by implementation strategy with higher reach when MOHR was completed by staff than by patients (71.2% vs 30.2%, P <.001). No practices were able to sustain the complete MOHR assessment without adaptations after study completion. Fielding MOHR increased staff and clinician time an average of 28 minutes per visit. CONCLUSIONS: Primary care practices can implement health behavior and mental health assessments, but counseling patients effectively requires effort. Practices will need more support to implement and sustain assessments.

Israeli nurses' intention to report for work in an emergency or disaster.

PURPOSE: This study investigates the effect of personal characteristics and organizational factors on nurses' intention to report for work in a national emergency. DESIGN: A convenience sample was drawn of 243 Israeli registered nurses. A structured self-administered questionnaire collected data on (a) intention to report for work, (b) barriers preventing nurses from reporting for work, (c) perceived self-efficacy in emergency conditions, (d) risk appraisal of health hazards, (e) knowledge of nurses' roles in emergency work, (f) access to institutional support services, and (g) reporting to work in a past emergency. METHODS: Data were analyzed by descriptive statistics, Pearson correlation coefficients, t tests, and multiple regression analysis. FINDINGS: Less than half of the nurses who said they had been asked to report for work in a past emergency had actually done so. The major barrier to reporting for work was childcare demands. There was a significant correlation between perceived knowledge, risk appraisal, self-efficacy, and intention to report. Self-efficacy, risk appraisal, working through an earlier emergency, perceived knowledge, and full or part-time working altogether. CONCLUSIONS: Personal factors, such as perceived knowledge, risk appraisal, and self-efficacy, are more important to Israeli nurses than objective barriers in preventing them from reporting for emergency work. The level of perceived knowledge as to the demands on and duties of nurses in a large-scale emergency is low. Self-efficacy enhancing activities need to be introduced into nurse training for emergency preparedness. CLINICAL RELEVANCE: This study makes an important contribution to research on the importance of perceived self-efficacy in the context of disaster planning.

Anterior Cruciate Ligament-Return to Sport after Injury (ACL-RSI) subcategories are affected by subjective running ability and medial single-leg hop distance in postreconstruction patients at 6 months.

Purpose: This study aimed to investigate the intricate relationship between physical function factors and each subcategory score of the Anterior Cruciate Ligament-Return to Sport after Injury (ACL-RSI) scale among patients following ACL reconstruction. Methods: Participants comprised 59 patients who had undergone primary ACL reconstruction using hamstring tendon. The ACL-RSI was completed 6 months after reconstruction and five physical functions were measured in patients on the same day. Simple linear regression was performed multiple times to investigate the relationship between ACL-RSI subcategory scores as a dependent variable and each independent variable (knee strength, leg anterior reach distance, single-leg hop [SLH] distances, side bridge endurance, and subjective running ability). Multiple regression analysis was performed using a stepwise method, with factors showing a risk rate <0.05 in simple linear regression analyses as independent variables and the ACL-RSI in each subcategory score as the dependent variable. Results: Multiple regression analysis showed that subjective running ability affected all subcategories (p ≤ 0.001), and that the limb symmetry index of medial SLH distance affected both the Emotions (p = 0.047) and Confidence (p = 0.009) subcategories. Higher subjective running ability and greater limb symmetry in the medial SLH were thus positively associated with each dimension of psychological readiness. Conclusions: This study highlights the differential impact of physical function factors on specific subcategories of the ACL-RSI scale, providing clinicians with insights for designing targeted rehabilitation strategies. This original paper suggests the importance of analysing factors related to subcategory scores in addition to total ACL-RSI score, and could contribute to the understanding of determinants for a successful return to sport following ACL reconstruction. Level of Evidence: Level IV.

Online cancer information seeking and colorectal cancer screening in China: Considering threat and coping Appraisals, and cancer fatalism.

Background: Colorectal cancer is major public health concern in China. This study seeks to explore the role of online cancer information seeking in influencing colorectal cancer screening, by taking into account one's coping appraisals (i.e., self-efficacy, response efficacy), threat appraisals (i.e., perceived severity, cancer worry) and cancer fatalism. Methods: A cross-sectional survey was conducted with 730 participants in China recruited from a Chinese survey company's online panels. Path analysis was performed to investigate the relationships between the key constructs. Results: First, online cancer information seeking increased both coping appraisals and threat appraisals. Second, threat appraisal did not significantly influence cancer fatalism, but coping appraisal reduced cancer fatalism. Third, cancer fatalism had no effects on colorectal cancer screening. Lastly, online cancer information also had a direct and positive relationship with cancer screening. Conclusions: This research emphasises the need for health organisations to offer timely cancer information to people, and educate them about the importance of cancer screening. Health authorities may also regulate online cancer information to ensure that the information is accurate and appropriate in improving people's cancer prevention and cancer screening knowledge.

Health Promotion of Early and Sustained Allergenic Food Introduction for the Prevention of Food Allergy.

Observational studies and landmark randomized control trials support early and sustained allergenic food introduction in infancy as an effective preventive strategy against food allergy development. Despite a consensus regarding the intended goals of early and sustained allergenic food introduction, there have been myriad policy recommendations among health authorities in how to achieve both individual and population-level health outcomes for food allergy prevention. This clinical management review provides an overview on the data that informs early and sustained allergenic food introduction strategies, suggestions on how to advise allergenic food introduction, principles of prevention programs as they relate to food allergy prevention, and health promotion and systems-level challenges that impede achievement of food allergy prevention goals.

Enhancing self-protective behavior: efficacy beliefs and peer feedback in risk communication.

In times of a high-impact safety incident citizens may have a variety of sources available to help them cope with the situation. This research focuses on the interplay of efficacy information in risk communication messages and peer feedback, such as responses on social network sites (SNSs) in the context of a high-impact risk on the intention to engage in self-protective behavior. The study pitted high and low efficacy information messages against supporting and opposing peer feedback (N = 242). Results show a significant interaction effect between efficacy information in a news article and peer feedback from SNS messages on both the intention to engage in self-protective behavior and levels of involvement. Participants who received the article with more efficacy information and also received supportive peer feedback via SNS messages were more likely to express higher levels of involvement and greater intentions to engage in protective behavior. When confronted with a low efficacious news article, the effect of peer feedback on these two variables was significantly stronger. Finally, implications for theory and government risk communication are discussed.

Perceived Safety, Not Perceived Legality, Mediates the Relationship Between Cannabis Legalization and Drugged Driving.

Cannabis legalization has rapidly spread throughout the United States and is associated with multiple public health outcomes, including driving under the influence of cannabis (DUIC). To improve understanding of the relationship between legalization and DUIC, we tested two potential mediators of this relationship: perceived safety and perceived legality of driving high. We analyzed data from 1,236 current (past 30-day) cannabis users who were recruited from states with recreational, medical only, or no legal cannabis between 2016 and 2017 using address-based and social media samples. Using a generalized linear model and adjusting for cannabis legalization, demographics, living in a state with a cannabis-specific drugged driving law, frequency of cannabis use, and weights, we found that perceived safety (risk ratio [RR] = 2.60, 95% CI [1.88, 3.58]), but not perceived legality (RR = 0.96, 95% CI [0.67, 1.37]), was significantly associated with DUIC. Perceived safety mediated the relationship between legalization and DUIC (Coeff: -0.12, 95% CI [-0.23, -0.01]). Models stratified by frequency of cannabis use yielded results consistent with those of pooled models except that, for frequent users, cannabis-specific driving laws were associated with a significantly lower risk of DUIC (RR = 0.64, 95% CI [0.44, 0.92]). Agencies developing cannabis-focused drugged driving educational campaigns should consider the potential role of perceived safety of driving high in DUIC campaigns.