Large-scale environmental crises are genuinely collective phenomena: they usually result from collective, rather than personal, behavior and how they are cognitively represented and appraised is determined by collectively shared interpretations (e.g., differing across ideological groups) and based on concern for collectives (e.g., humankind, future generations) rather than for individuals. Nevertheless, pro-environmental action has been primarily investigated as a personal decision-making process. We complement this research with a social identity perspective on pro-environmental action. Social identity is the human capacity to define the self in terms of "We" instead of "I," enabling people to think and act as collectives, which should be crucial given personal insufficiency to appraise and effectively respond to environmental crises. We propose a Social Identity Model of Pro-Environmental Action (SIMPEA) of how social identity processes affect both appraisal of and behavioral responses to large-scale environmental crises. We review related and pertinent research providing initial evidence for the role of 4 social identity processes hypothesized in SIMPEA. Specifically, we propose that ingroup identification, ingroup norms and goals, and collective efficacy determine environmental appraisals as well as both private and public sphere environmental action. These processes are driven by personal and collective emotions and motivations that arise from environmental appraisal and operate on both a deliberate and automatic processing level. Finally, we discuss SIMPEA's implications for the research agenda in environmental and social psychology and for interventions fostering pro-environmental action. (PsycINFO Database Record
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BMJ Open
January 2025
School of Psychology, University of East Anglia, Norwich, UK.
Introduction: Mental health problems are the most significant cause of disability and have high annual economic costs; hence, they are a priority for the government, service providers and policymakers. Consisting of largely coastal and rural communities, the populations of Norfolk and Suffolk, UK, have elevated burdens of mental health problems, areas with high levels of deprivation and an increasing migrant population. However, these communities are underserved by research and areas with the greatest mental health needs are not represented or engaged in research.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Discipline of Speech Pathology, School of Allied Health, Human Services and Sport La Trobe University, Melbourne, Australia.
Purpose: People with post-stroke aphasia experience relationship changes which can lead to an altered relational self. The aim of this research was to explore the experiences of a group of people with post-stroke aphasia regarding changes to the relational self.
Method: A constructivist grounded theory approach was used.
Med Sci Monit
January 2025
Institute of Invertebrates, Fundación Miguel Lillo, San Miguel de Tucumán, Argentina.
BACKGROUND Ancylostoma caninum is a soil-borne, soil-transmitted helminth with infective larvae and produces cutaneous larva migrans in humans. The objective of this study was to confirm the presence of A. caninum in domestic dogs from the urban-marginal and rural sectors of the Ecuadorian coast through morphometry, culture, and molecular techniques.
View Article and Find Full Text PDFMicrobiome
January 2025
Estonian Genome Centre, Institute of Genomics, University of Tartu, Tartu, Estonia.
Background: Accurate classification of host phenotypes from microbiome data is crucial for advancing microbiome-based therapies, with machine learning offering effective solutions. However, the complexity of the gut microbiome, data sparsity, compositionality, and population-specificity present significant challenges. Microbiome data transformations can alleviate some of the aforementioned challenges, but their usage in machine learning tasks has largely been unexplored.
View Article and Find Full Text PDFSchizophrenia (Heidelb)
January 2025
Department of Psychiatry, University of Campania "Luigi Vanvitelli", 80138, Naples, Italy.
The present study aimed to investigate the causal relationships among cognitive impairment, psychopathology, and real-life functioning in a large sample of people with schizophrenia, using a data-driven causal discovery procedure based on partial ancestral graphs (PAGs). This method may provide additional insights for the identification of potential therapeutic targets to promote recovery in people with chronic schizophrenia. State-of-the-art instruments were used to assess the study variables.
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