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[https://underthebluedoor.org/2014/08/18/the-rwandan-prescription-for-depression-sun-drum-dance-community-we-had-a-lot-of-trouble-with-western-mental-health-workers-who-came-here-immediately-after-the-genocide-and-we-had-to-ask-some/?fbclid=IwAR2R4tbTOdJuE] - - public:weinreich
behavior_change, mental_health, social_norms, target_audience - 4 | id:264270 -

The Rwandan prescription for Depression: Sun, drum, dance, community. “We had a lot of trouble with western mental health workers who came here immediately after the genocide and we had to ask some of them to leave. They came and their practice did not involve being outside in the sun where you begin to feel better, there was no music or drumming to get your blood flowing again, there was no sense that everyone had taken the day off so that the entire community could come together to try to lift you up and bring you back to joy, there was no acknowledgement of the depression as something invasive and external that could actually be cast out again. Instead they would take people one at a time into these dingy little rooms and have them sit around for an hour or so and talk about bad things that had happened to them. We had to ask them to leave.” ~A Rwandan talking to a western writer, Andrew Solomon, about his experience with western mental health and depression.

[https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4786366/] - - public:weinreich
behavior_change, social_network, social_norms, theory - 4 | id:264244 -

Social networks provide a powerful approach for health behavior change. This article documents how social network interventions have been successfully utilized for a range of health behaviors including HIV risk practices, smoking, exercise, dieting, family planning, bullying, and mental health. We review the literature that suggests relationship between health behaviors and social network attributes demonstrate a high degree of specificity. The article then examines hypothesized social influence mechanisms including social norms, modeling, and social rewards and the factors of social identity and social rewards that can be employed to sustain social network interventions. Areas of future research avenues are highlighted, including the need to examine and analytically adjust for contamination and social diffusion, social influence versus differential affiliation, and network change. Use and integration of mhealth and face-to-face networks for promoting health behavior change are also critical research areas.

[https://thebehavioursagency.com/richard-shotton-behavioural-science-marketing/] - - public:weinreich
behavior_change, design, health_communication, marketing, social_norms - 5 | id:255764 -

Consider three levels: literal, liberal & lateral. Example: social proof... Literal: share the percentage of people who follow the norm in general Liberal: tailor the claims to what “people like them“ do Lateral: suggest popularity rather than stating it

[https://www.frontiersin.org/articles/10.3389/fpsyg.2019.00545/full] - - public:weinreich
behavior_change, social_norms - 2 | id:244025 -

Overall, our research showed that the cognitive mechanisms of goal contagion might not be sufficient to elicit prosocial behavior in a person observing every day helping. Even though observers inferred the prosocial goal, they did not act on it when given the opportunity. For now, it remains unclear whether goal contagion is limited to specific kinds of goals—not including a prosocial goal—or whether other factors hindered the effect in our studies.

[https://www.fastcompany.com/90176846/the-magic-number-of-people-needed-to-create-social-change] - - public:weinreich
behavior_change, social_change, social_norms - 3 | id:186807 -

A new study published in Science has quantified the number of people who need to take a stand before they can affect societal change on important topics like sexual harassment and human rights. And that number? It’s a mere 25% of any group. Only 25% of people need to adopt a new social norm to create an inflection point where everyone in the group follows.

[http://web.mit.edu/sinana/www/AralSA.pdf] - - public:weinreich
behavior_change, social_network, social_norms - 3 | id:76862 -

In general, “you’re 10 to 15 times as likely to buy something your friends bought because you have the same inherent preferences, and twice as likely because your friends influenced you,” Aral says. However, the level of peer influence varies by how connected the people are— fellow alumni exert more influence over one another than neighbors—and whether or not the message is personal.

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