5 research outputs found

    The Mediating Role of Perceived Control and Desire for Control in the Relationship between Personality and Depressive Symptomology

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    open access articleIntroduction: Depression constitutes a fundamental problem for society and understanding its aetiology is of unequivocal importance. Seminal theories implicated low perceived control, low desire for control and variations in personality factors in the manifestation of depression. This study, however, is the first to examine the mediating roles of both desire for control and perceived control in the relationship between personality and depressive symptomology. Methods: A sample of 350 participants, ranging from 18 to 67 years of age (M = 22.8, SD = 9.0), were recruited through Durham University’s social media pages. Participants completed the Revised NEO Personality Inventory, the Spheres of Control Scale, the Desire for Control Scale and Beck’s Depression Inventory. Results: Path analysis using Maximum-Likelihood Method indicated that desire for control and perceived control serially mediated the effect of extraversion, conscientiousness and agreeableness on depressive symptomology, with only neuroticism maintaining a direct effect. Extraversion and conscientiousness increased desire for control, whereas agreeableness diminished desire for control. Greater desire for control subsequently elevated perceived control, manifesting reductions in depressive symptomology. Discussion: This study provides novel evidence that desire for control and perceived control mediate the relationship between personality and depressive symptoms. The clinical implications are discussed, evaluating the potential efficacy of therapies that bolster desire for control

    What influences people's responses to public health messages for managing risks and preventing infectious diseases? A rapid systematic review of the evidence and recommendations

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    BACKGROUND: Individual behaviour changes, such as hand hygiene and physical distancing, are required on a population scale to reduce transmission of infectious diseases such as COVID-19. However, little is known about effective methods of communicating risk reducing information, and how populations might respond. OBJECTIVE: To synthesise evidence relating to what (1) characterises effective public health messages for managing risk and preventing infectious disease and (2) influences people's responses to messages. DESIGN: A rapid systematic review was conducted. Protocol is published on Prospero CRD42020188704. DATA SOURCES: Electronic databases were searched: Ovid Medline, Ovid PsycINFO and Healthevidence.org, and grey literature (PsyarXiv, OSF Preprints) up to May 2020. STUDY SELECTION: All study designs that (1) evaluated public health messaging interventions targeted at adults and (2) concerned a communicable disease spread via primary route of transmission of respiratory and/or touch were included. Outcomes included preventative behaviours, perceptions/awareness and intentions. Non-English language papers were excluded. SYNTHESIS: Due to high heterogeneity studies were synthesised narratively focusing on determinants of intentions in the absence of measured adherence/preventative behaviours. Themes were developed independently by two researchers and discussed within team to reach consensus. Recommendations were translated from narrative synthesis to provide evidence-based methods in providing effective messaging. RESULTS: Sixty-eight eligible papers were identified. Characteristics of effective messaging include delivery by credible sources, community engagement, increasing awareness/knowledge, mapping to stage of epidemic/pandemic. To influence intent effectively, public health messages need to be acceptable, increase understanding/perceptions of health threat and perceived susceptibility. DISCUSSION: There are four key recommendations: (1) engage communities in development of messaging, (2) address uncertainty immediately and with transparency, (3) focus on unifying messages from sources and (4) frame messages aimed at increasing understanding, social responsibility and personal control. Embedding principles of behavioural science into public health messaging is an important step towards more effective health-risk communication during epidemics/pandemics

    Creative destruction in science

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    Drawing on the concept of a gale of creative destruction in a capitalistic economy, we argue that initiatives to assess the robustness of findings in the organizational literature should aim to simultaneously test competing ideas operating in the same theoretical space. In other words, replication efforts should seek not just to support or question the original findings, but also to replace them with revised, stronger theories with greater explanatory power. Achieving this will typically require adding new measures, conditions, and subject populations to research designs, in order to carry out conceptual tests of multiple theories in addition to directly replicating the original findings. To illustrate the value of the creative destruction approach for theory pruning in organizational scholarship, we describe recent replication initiatives re-examining culture and work morality, working parents\u2019 reasoning about day care options, and gender discrimination in hiring decisions. Significance statement It is becoming increasingly clear that many, if not most, published research findings across scientific fields are not readily replicable when the same method is repeated. Although extremely valuable, failed replications risk leaving a theoretical void\u2014 reducing confidence the original theoretical prediction is true, but not replacing it with positive evidence in favor of an alternative theory. We introduce the creative destruction approach to replication, which combines theory pruning methods from the field of management with emerging best practices from the open science movement, with the aim of making replications as generative as possible. In effect, we advocate for a Replication 2.0 movement in which the goal shifts from checking on the reliability of past findings to actively engaging in competitive theory testing and theory building. Scientific transparency statement The materials, code, and data for this article are posted publicly on the Open Science Framework, with links provided in the article
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