Personal protective behaviors in response to COVID-19: a longitudinal application of protection motivation theory

IntroductionDisease outbreaks are expected to occur more frequently and spread more rapidly in the age of globalization. Personal protective behaviors strongly affect infection and death rates worldwide. It is therefore of prime importance to better understand which factors predict personal protective behaviors during a pandemic. Protection motivation theory (PMT) proposes that people’s motivation to protect themselves is based on two appraisal processes: threat appraisal and coping appraisal. Building on PMT, this longitudinal study aimed to predict personal protective behaviors in response to COVID-19, including hand hygiene, physical distancing, and mask wearing.MethodIn the first wave of the study (November, 2020), the two appraisal processes as specified in PMT as well as intentions to perform protective behaviors were assessed in a representative sample of German adults (N = 328). In the second wave of this study, which was conducted one month later, the frequency of protective behaviors was measured. Structural equation modeling was used to test whether threat and coping appraisal predicted intentions and protective behaviors.ResultsResponse rate for the second wave was high (87%). For all three behaviors, self-efficacy predicted intentions and also indirectly behavior (i.e., mediated via intentions). Furthermore, exploratory tests of alternative theoretical models suggested that both self-efficacy and costs have direct effects (i.e., independent from their relationship with intentions) on performed behavior.ConclusionTo support individuals to engage in protective behaviors during a pandemic, it is important to reduce barriers to action and to foster individuals’ self-efficacy

Towards an understanding of adult judgments of synergistic health benefits

Objective: Numerous scientific studies show that certain combinations of dietary and/or lifestyle factors produce health benefits which are greater than the sum of the benefits associated with each factor alone. To address an existing knowledge gap, we assessed the extent to which individuals understand that certain combinations present these ‘synergistic health benefits’.Design: Health benefit judgments were obtained from lay adults for a range of dietary and/or lifestyle combinations that have been found to present synergistic benefits. Association between these judgments and socio-cognitive characteristics such as numeracy, education and health interest were examined.Methods: 352 Swiss adults were presented with a description of one of eight synergistically beneficial combinations. Each participant provided a categorical benefit judgment (i.e., sub-additive, additive or synergistic) for the combination and explained the cognitive reasoning underlying their judgment. Participants completed measures of numeracy and health interest. Results: The proportion of combinations judged to present a synergistic benefit was modest for ‘macro-level’ combinations (e.g., diet and exercise), but low for ‘micro-level’ combinations (e.g., two phytochemicals). Cognitive reasoning data showed that a higher proportion of judgments for micro-level (cf. macro-level) combinations were based on greater subjective epistemic uncertainty. Higher interest in health was associated with a better understanding of synergistic benefits, but numeracy and education level were not. Conclusions: There is considerable scope to improve the extent to which lay adults understand that specific combination of diet and lifestyle behaviours can synergistically benefit their health. Our results enable us to make informed recommendations for public health interventions

Time for change? Food choices in the transition to cohabitation and parenthood

Abstract Objective We compared the dietary behaviour of three different household types and explored developmental trends in food choices following a life event. Design The study is based on data from three Swiss Food Panel survey periods. A cross-sectional comparison between household types was conducted by using a one-way independent ANOVA. Repeated measures were analysed with a mixed ANCOVA to examine changes in dietary behaviour following a life event. Setting Participants in the survey filled in a questionnaire in the years 2010, 2011 and 2012. Subjects The final sample consisted of 3559 persons with a mean age of 56 years (range 22-94 years; 46 % men). Seventy-two people moved in with their partner and sixty-five people reported the birth of their first child. Results Cross-sectional evidence confirmed that women living in households with a partner reported higher consumption frequencies for meat and processed meats compared with those living alone. Men living in cohabitation had a higher vegetable intake. The transitional effect of moving in with a partner, however, resulted in a higher intake of processed meats for both genders and a higher intake of pork and savoury items for men. Transition to motherhood was linked to an increase in vegetable consumption, while the transition to fatherhood did not change consumption patterns significantly. Conclusions Individuals in life-stage transitions are more likely to change their nutritional strategies and life events can be a window of opportunity for changes towards better food choice

Crowdsourcing novel childhood predictors of adult obesity

Effective and simple screening tools are needed to detect behaviors that are established early in life and have a significant influence on weight gain later in life. Crowdsourcing could be a novel and potentially useful tool to assess childhood predictors of adult obesity. This exploratory study examined whether crowdsourcing could generate well-documented predictors in obesity research and, moreover, whether new directions for future research could be uncovered. Participants were recruited through social media to a question-generation website, on which they answered questions and were able to pose new questions that they thought could predict obesity. During the two weeks of data collection, 532 participants (62% female; age = 26.5±6.7; BMI = 29.0±7.0) registered on the website and suggested a total of 56 unique questions. Nineteen of these questions correlated with body mass index (BMI) and covered several themes identified by prior research, such as parenting styles and healthy lifestyle. More importantly, participants were able to identify potential determinants that were related to a lower BMI, but have not been the subject of extensive research, such as parents packing their children\u27s lunch to school or talking to them about nutrition. The findings indicate that crowdsourcing can reproduce already existing hypotheses and also generate ideas that are less well documented. The crowdsourced predictors discovered in this study emphasize the importance of family interventions to fight obesity. The questions generated by participants also suggest new ways to express known predictors. © 2014 Bevelander et al

White Paper: Open Digital Health – accelerating transparent and scalable health promotion and treatment

In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020–2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant, following a two-day meeting (19–20th August 2021)

White Paper: Open Digital Health – accelerating transparent and scalable health promotion and treatment

In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020-2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant, following a two-day meeting (19-20th August 2021).Peer reviewe

White Paper: Open Digital Health - accelerating transparent and scalable health promotion and treatment

In this White Paper, we outline recommendations from the perspective of health psychology and behavioural science, addressing three research gaps: (1) What methods in the health psychology research toolkit can be best used for developing and evaluating digital health tools? (2) What are the most feasible strategies to reuse digital health tools across populations and settings? (3) What are the main advantages and challenges of sharing (openly publishing) data, code, intervention content and design features of digital health tools? We provide actionable suggestions for researchers joining the continuously growing Open Digital Health movement, poised to revolutionise health psychology research and practice in the coming years. This White Paper is positioned in the current context of the COVID-19 pandemic, exploring how digital health tools have rapidly gained popularity in 2020-2022, when world-wide health promotion and treatment efforts rapidly shifted from face-to-face to remote delivery. This statement is written by the Directors of the not-for-profit Open Digital Health Initiative (n = 6), Experts attending the European Health Psychology Society Synergy Expert Meeting (n = 17), and the initiative consultant following a two-day meeting (19-20th August 2021).Output Status: Forthcoming/Available Online Additional co-authors: Judith Nalukwago, Efrat Neter, Johanna Nurmi, Manuel Spitschan, Samantha B. Van Beurden, L. Nynke Van der Laan, Kathrin Wunsch, Jasper J. J. Levink & Robbert Sanderma

Crowdsourcing hypothesis tests: Making transparent how design choices shape research results

To what extent are research results influenced by subjective decisions that scientists make as they design studies? Fifteen research teams independently designed studies to answer fiveoriginal research questions related to moral judgments, negotiations, and implicit cognition. Participants from two separate large samples (total N > 15,000) were then randomly assigned to complete one version of each study. Effect sizes varied dramatically across different sets of materials designed to test the same hypothesis: materials from different teams renderedstatistically significant effects in opposite directions for four out of five hypotheses, with the narrowest range in estimates being d = -0.37 to +0.26. Meta-analysis and a Bayesian perspective on the results revealed overall support for two hypotheses, and a lack of support for three hypotheses. Overall, practically none of the variability in effect sizes was attributable to the skill of the research team in designing materials, while considerable variability was attributable to the hypothesis being tested. In a forecasting survey, predictions of other scientists were significantly correlated with study results, both across and within hypotheses. Crowdsourced testing of research hypotheses helps reveal the true consistency of empirical support for a scientific claim.</div

Risks and feelings : affective influences on the perception of non-ionizing radiation risks

Mobile Kommunikation ist zu einem unverzichtbaren Bestandteil unseres Alltags geworden. Das rasante Wachstum dieser Technologie gibt jedoch auch Anlass zur Sorge; viele Menschen fürchten potentielle gesundheitliche Folgen durch nichtionisierende Strahlung. Das Ziel der vorliegenden Arbeit besteht darin, jene Faktoren zu identifizieren, die das wahrgenommene Risiko und den wahrgenommen Nutzen von Mobilfunk beeinflussen. Ein besonderer Schwerpunkt liegt dabei auf der Rolle von Affekt, da frühere Forschung gezeigt hat, dass Affekt als wichtige Entscheidungsregel dienen kann. Aus der vorliegenden Arbeit lassen sich fünf Hauptergebnisse ableiten. Erstens hat sich gezeigt, dass Affekt einen wichtigen Einfluss auf die Wahrnehmung von nichtionisierender Strahlung und anderen Risiken hat. Zweitens konnte nachgewiesen werden, dass Experten, Mobilfunkkritiker und Laien sich in ihren affektiven Reaktionen bezüglich Mobilfunk deutlich unterscheiden. Drittens lässt sich festhalten, dass demographische Variablen ebenfalls einen Einfluss auf die Risikowahrnehmung von Mobilfunk haben. Viertens fand die Hypothese Bestätigung, dass die Vermittlung von technischem Wissen die Wahl von Antennenstandorten beeinflussen kann. Schliesslich zeigte sich, dass viele Bürger weit entfernte, verdeckte Mobilfunkantennen gegenüber nahen und frei sichtbaren Antennen bevorzugen. Basierend auf diesen Ergebnissen findet sich am Ende der Arbeit eine Diskussion der zentralen Implikationen für Forschung und Praxis. Mobile communication has become an indispensable part of life today. The continuing growth of this technology, however, also gives rise to public concerns about potential health effects regarding non-ionizing radiation. The present work investigates which factors influence the perceived risks and benefits of non-ionizing radiation emitted by mobile communication. Specifically, the work examines the role of affect in risk perception, since previous research has indicted that affect can serve as an important shortcut within decision making. Five main findings stand out in this research. First, the studies showed that affect determines the perception of non-ionizing radiation and other risks. Second, this research demonstrated that affect toward mobile communication differs among experts, opponents, and laypeople. Third, the studies found that risk perception differs due to important demographic variables. Fourth, the research corroborated that knowledge influences base station siting decisions. And last, evidence was provided that citizens prefer distant and covered base station sites. Central implications for research and practice will be derived