5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      The contagion of mental illness: Insights from a Sufi shrine

      1 , 2 , 3
      Transcultural Psychiatry
      SAGE Publications

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          In this article, an anthropologist and a psychiatrist examine a Sufi shrine-based concept of affliction known as asrat (an “effect” in Hindi-Urdu, “difficulty” in Arabic) and related practices of healing in urban north India. Rather than being located in an individual body, asrat afflictions are shared, most often within a household or kinship group. Through surveys, clinical assessments, and ethnographic work, we track three different ways in which afflictions move between bodies, and the mechanisms at work in asrat healing processes. Rather than a “collectivist” concept of the psyche, we suggest that a key role of shrine-based therapeutic processes is to manage a “suspicion system,” related to experiences of psychic and economic injuries and conflict between intimates and kin. Through a multi-sited research design that moves across a leading Sufi shrine, an urban poor neighborhood in Delhi, and one of India's leading psychiatric facilities, we argue that within asrat-related processes, psychic vulnerabilities are addressed by “re-combining” relations through forms of inter-subjective attunement within a smaller segment of the kin group, potentially making symptoms and the burden of care and conflict more livable. We suggest that shrine-based concepts and practices may be cross-culturally significant, even for secular understandings of the inter-subjective dimensions of mental illness.

          Related collections

          Most cited references57

          • Record: found
          • Abstract: found
          • Article: not found

          Emotion shapes the diffusion of moralized content in social networks

          Twitter and other social media platforms are believed to have altered the course of numerous historical events, from the Arab Spring to the US presidential election. Online social networks have become a ubiquitous medium for discussing moral and political ideas. Nevertheless, the field of moral psychology has yet to investigate why some moral and political ideas spread more widely than others. Using a large sample of social media communications concerning polarizing issues in public policy debates (gun control, same-sex marriage, climate change), we found that the presence of moral-emotional language in political messages substantially increases their diffusion within (and less so between) ideological group boundaries. These findings offer insights into how moral ideas spread within networks during real political discussion. Political debate concerning moralized issues is increasingly common in online social networks. However, moral psychology has yet to incorporate the study of social networks to investigate processes by which some moral ideas spread more rapidly or broadly than others. Here, we show that the expression of moral emotion is key for the spread of moral and political ideas in online social networks, a process we call “moral contagion.” Using a large sample of social media communications about three polarizing moral/political issues ( n = 563,312), we observed that the presence of moral-emotional words in messages increased their diffusion by a factor of 20% for each additional word. Furthermore, we found that moral contagion was bounded by group membership; moral-emotional language increased diffusion more strongly within liberal and conservative networks, and less between them. Our results highlight the importance of emotion in the social transmission of moral ideas and also demonstrate the utility of social network methods for studying morality. These findings offer insights into how people are exposed to moral and political ideas through social networks, thus expanding models of social influence and group polarization as people become increasingly immersed in social media networks.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Dynamic spread of happiness in a large social network: longitudinal analysis over 20 years in the Framingham Heart Study

            Objectives To evaluate whether happiness can spread from person to person and whether niches of happiness form within social networks. Design Longitudinal social network analysis. Setting Framingham Heart Study social network. Participants 4739 individuals followed from 1983 to 2003. Main outcome measures Happiness measured with validated four item scale; broad array of attributes of social networks and diverse social ties. Results Clusters of happy and unhappy people are visible in the network, and the relationship between people’s happiness extends up to three degrees of separation (for example, to the friends of one’s friends’ friends). People who are surrounded by many happy people and those who are central in the network are more likely to become happy in the future. Longitudinal statistical models suggest that clusters of happiness result from the spread of happiness and not just a tendency for people to associate with similar individuals. A friend who lives within a mile (about 1.6 km) and who becomes happy increases the probability that a person is happy by 25% (95% confidence interval 1% to 57%). Similar effects are seen in coresident spouses (8%, 0.2% to 16%), siblings who live within a mile (14%, 1% to 28%), and next door neighbours (34%, 7% to 70%). Effects are not seen between coworkers. The effect decays with time and with geographical separation. Conclusions People’s happiness depends on the happiness of others with whom they are connected. This provides further justification for seeing happiness, like health, as a collective phenomenon.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Detecting Emotional Contagion in Massive Social Networks

              Happiness and other emotions spread between people in direct contact, but it is unclear whether massive online social networks also contribute to this spread. Here, we elaborate a novel method for measuring the contagion of emotional expression. With data from millions of Facebook users, we show that rainfall directly influences the emotional content of their status messages, and it also affects the status messages of friends in other cities who are not experiencing rainfall. For every one person affected directly, rainfall alters the emotional expression of about one to two other people, suggesting that online social networks may magnify the intensity of global emotional synchrony.
                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                (View ORCID Profile)
                Journal
                Transcultural Psychiatry
                Transcult Psychiatry
                SAGE Publications
                1363-4615
                1461-7471
                June 2023
                February 24 2022
                June 2023
                : 60
                : 3
                : 457-475
                Affiliations
                [1 ]Department of Anthropology and Sociology, Ashoka University
                [2 ]Psychiatry, Carney Institute for Brain Sciences, Brown University
                [3 ]Department of Psychiatry, All India Institute of Medical Sciences
                Article
                10.1177/13634615221078131
                0b47769d-8b6c-4518-84cb-c564a85ec8e2
                © 2023

                http://journals.sagepub.com/page/policies/text-and-data-mining-license

                History

                Comments

                Comment on this article

                scite_
                0
                0
                0
                0
                Smart Citations
                0
                0
                0
                0
                Citing PublicationsSupportingMentioningContrasting
                View Citations

                See how this article has been cited at scite.ai

                scite shows how a scientific paper has been cited by providing the context of the citation, a classification describing whether it supports, mentions, or contrasts the cited claim, and a label indicating in which section the citation was made.

                Similar content109

                Cited by1

                Most referenced authors292