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Identifying with all humanity predicts cooperative health behaviors and helpful responding during COVID-19.
Barragan, Rodolfo C; Oliveira, Nigini; Khalvati, Koosha; Brooks, Rechele; Reinecke, Katharina; Rao, Rajesh P N; Meltzoff, Andrew N.
Afiliación
  • Barragan RC; Department of Psychology, University of Washington, Seattle, WA, United States of America.
  • Oliveira N; Institute for Learning & Brain Sciences, University of Washington, Seattle, WA, United States of America.
  • Khalvati K; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
  • Brooks R; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
  • Reinecke K; Institute for Learning & Brain Sciences, University of Washington, Seattle, WA, United States of America.
  • Rao RPN; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
  • Meltzoff AN; Paul G. Allen School of Computer Science and Engineering, University of Washington, Seattle, WA, United States of America.
PLoS One ; 16(3): e0248234, 2021.
Article en En | MEDLINE | ID: mdl-33690679
In the ongoing COVID-19 pandemic, public health experts have produced guidelines to limit the spread of the coronavirus, but individuals do not always comply with experts' recommendations. Here, we tested whether a specific psychological belief-identification with all humanity-predicts cooperation with public health guidelines as well as helpful behavior during the COVID-19 pandemic. We hypothesized that peoples' endorsement of this belief-their relative perception of a connection and moral commitment to other humans-would predict their tendencies to adopt World Health Organization (WHO) guidelines and to help others. To assess this, we conducted a global online study (N = 2537 participants) of four WHO-recommended health behaviors and four pandemic-related moral dilemmas that we constructed to be relevant to helping others at a potential cost to oneself. We used generalized linear mixed models (GLMM) that included 10 predictor variables (demographic, contextual, and psychological) for each of five outcome measures (a WHO cooperative health behavior score, plus responses to each of our four moral, helping dilemmas). Identification with all humanity was the most consistent and consequential predictor of individuals' cooperative health behavior and helpful responding. Analyses showed that the identification with all humanity significantly predicted each of the five outcomes while controlling for the other variables (Prange < 10-22 to < 0.009). The mean effect size of the identification with all humanity predictor on these outcomes was more than twice as large as the effect sizes of other predictors. Identification with all humanity is a psychological construct that, through targeted interventions, may help scientists and policymakers to better understand and promote cooperative health behavior and help-oriented concern for others during the current pandemic as well as in future humanitarian crises.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública / Conducta Cooperativa / COVID-19 Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Salud Pública / Conducta Cooperativa / COVID-19 Tipo de estudio: Prognostic_studies / Qualitative_research / Risk_factors_studies Aspecto: Determinantes_sociais_saude Límite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos