Jump to content

Peer-influenced: Difference between revisions

From Toolkit.Socialnetwork.Health
No edit summary
new writeup
 
Line 1: Line 1:
=== Summary ===
Peer influenced or peer-peer activities promote relationships between peers, and engage people in their existing communities, leveraging their existing relationships and common interests, while enhancing their knowledge of one another and their potential within their community.  These types of activities can lead to discovery of strengths among peers, and can dispel misunderstandings and misconceptions that could later lead to significant relational friction.  Peer influenced practices recognize that individuals can be significantly impacted by the people they associate with, and that peer relationships play a crucial role in mental health. 


=== Notes and References: ===
Peer influence is a documented mechanism through which behaviour spreads across a network, and the evidence shows it can travel in either direction: toward risk or toward protection, depending on who carries it. Wyman et al. (2019) found that "adolescents appear susceptible to suicidal behavior modeling," and identified a specific pathway for this: schools where "suicidal youth having higher relative popularity versus nonsuicidal peers" predicted higher suicide attempt rates school-wide. This is peer influence operating as a risk factor: when the students most connected to others are themselves struggling, that influence spreads through the network rather than staying contained. 


Because influence travels through relationships people already have, the logical intervention is not to introduce a new outside channel but to redirect the existing one. Wyman (2014) describes exactly this design: "training for high school student peer leaders to prepare them to modify norms through their natural social networks (Sources of Strength) has increased schoolwide help-seeking acceptability, coping norms, and engagement of adults to help suicidal peers" (p. S254). Wyman et al. (2019) draw the same conclusion from their network data directly: "key opinion leader programs could be an effective approach to increase influence of youth with healthy coping practices including in network components with concentrated suicidal peers" (Discussion). The target of intervention, in both cases, is not the individual student but the influence pathway itself.


'''NIMH'''
This same peer-level mechanism, rather than anything delivered to individuals separately, explains outcomes in an adult workplace population as well. In the Wingman-Connect trial, mediation analysis found that "participants' perceptions of being embedded in a more cohesive, healthy class accounted for significant portions of Wingman-Connect's impact on reducing suicidal ideation and depression symptoms" (Wyman et al., 2020, Results). The variable doing the work was the class's cohesion, a property of the peer group, not a property of any one trainee.


'''WINGMAN-CONNECT PROGRAM MODEL AND DEVELOPMENT'''
Two things should be said plainly. First, this evidence again concentrates in one research programme working primarily with adolescent and military populations. Second, the same duality that makes peer influence useful makes it risky if handled carelessly: Wyman et al. (2023) found that a peer-leader programme delivered with low fidelity "became potentially iatrogenic for ninth grade students," meaning the same mechanism that spreads protection can, if poorly implemented, spread harm instead. Peer influence is not inherently protective; it is a channel, and its effect depends on what travels through it.


Wingman-Connect is an adaptation of a network-informed intervention. Since 2010, PI Wyman has led research (NIH, CDC funded) testing that program, which disseminates skills for social health through youth peer networks.<sup> </sup> The high-energy, interactive training improves student connectedness and coping norms, and protective effects spread school-wide including adult help for suicidal youth.<sup> </sup> A study aggregating three RCTs (N=78 schools; 39,900 students) showed fewer suicide deaths in schools implementing this approach. <sup> </sup>
=== '''Context: Peer Influence in Schools''' ===
Implementing peer influence deliberately in schools means training opinion leaders drawn from the student body itself, not adults standing outside it. Wyman et al. (2023) describe Sources of Strength as training "diverse youth key opinion leaders" to run "school-wide prevention campaigns," working through students' own "friendship groups" rather than a curriculum delivered top-down. Wyman (2014) frames the mechanism these leaders are meant to shift: peer-led messaging "modif[ies] norms through... natural social networks" rather than replacing them. The same evidence carries an implementation warning specific to this finding: because peer leaders are the channel, poor selection or poor support of those leaders does not merely fail to help Wyman et al. (2023) found low-fidelity delivery "became potentially iatrogenic for ninth grade students," meaning the leader-selection and training process itself needs as much rigour as the message being spread.


Wingman-Connect Program structure and key elements together strengthen relationship networks, cohesion, adaptive coping and group norms.
=== '''Context: Peer Influence among Remote Workers in IT and Technology''' ===
In distributed open-source teams, peer influence shows up as a documented, if secondary, factor in whether contributors stay engaged. Miller et al. (2019) surveyed established GitHub contributors who had disengaged and found "lack of peer support" among the self-reported social reasons for leaving, consistent with wider turnover research where "social embedding in a team" is described as "an antidote to turnover." However, the same study is honest that this was not the dominant factor: occupational transitions, such as changing jobs, were cited "significantly more than lacking peer support or losing interest that are more commonly discussed in the literature." For IT and technology remote workers, this suggests peer influence is a real but secondary lever, worth strengthening deliberately, but not a substitute for addressing the life and career transitions that drive most disengagement.


Program’s novel group intervention strengthens ''social bonds'' as well as ''peer network norms'' that incentivize healthy coping. This interactive training progresses from individual engagement (e.g., each participant shares career goals and values) to building group level skills and norms (e.g., mapping group strengths).  
=== '''References''' ===
Miller, C., Widder, D. G., Kästner, C., & Vasilescu, B. (2019). Why do people give up FLOSSing? A study of contributor disengagement in open source. In F. Bordeleau et al. (Eds.), ''Open Source Systems'' (IFIP AICT, Vol. 556, pp. 116–129). Springer. <nowiki>https://doi.org/10.1007/978-3-030-20883-7_11</nowiki>


'''JAMA Open Network, October, 2020'''
Wyman, P. A. (2014). Developmental approach to prevent adolescent suicides: Research pathways to effective upstream preventive interventions. ''American Journal of Preventive Medicine, 47''(3, Suppl. 2), S251–S256. <nowiki>https://doi.org/10.1016/j.amepre.2014.05.039</nowiki>


Airmen learn skills to grow and sustain protective factors essential to job success, mental health and reduced suicide risk (Kinship, Purpose, Guidance, Balance). Class exercises create more cohesive units with skills extended into group culture.''' ''' Wingman Connect training is delivered to organizational units using interactive exercises to build key group and individual protective factors (Four Cores):
Wyman, P. A., Pickering, T. A., Pisani, A. R., Rulison, K., Schmeelk-Cone, K., Hartley, C., Gould, M., LoMurray, M., Brown, C. H., & Valente, T. W. (2019). Peer‐adult network structure and suicide attempts in 38 high schools: Implications for network-informed suicide prevention. ''Journal of Child Psychology and Psychiatry, 60''(10), 1065–1075. <nowiki>https://doi.org/10.1111/jcpp.13102</nowiki>


The study’s findings validate the underlying network health model: stronger bonds within a more cohesive healthy class reduced suicidal ideation and depression symptoms. These findings suggest that training classes became increasingly unified around healthy norms and encouraged classmates who were vulnerable to mental health or occupational problems at a key juncture of military training, in addition to meeting their needs for belonging. Work with recent social network modeling show that cohesive groups serve a protective regulatory function through norms and pressures to conform.  
Wyman, P. A., Pisani, A. R., Brown, C. H., Yates, B., Morgan-DeVelder, L., Schmeelk-Cone, K., Gibbons, R. D., Caine, E. D., Petrova, M., Neal-Walden, T., Linkh, D. J., Matteson, A., Simonson, J., & Pflanz, S. E. (2020). Effect of the Wingman-Connect upstream suicide prevention program for Air Force personnel in training: A cluster randomized clinical trial. ''JAMA Network Open, 3''(11), e2022532. <nowiki>https://doi.org/10.1001/jamanetworkopen.2020.22532</nowiki>


'''Social Science & Medicine'''                     Social Science & Medicine 296 (2022) 114737
Wyman, P., Cero, I., Brown, C. H., Espelage, D., Pisani, A., Kuehl, T., & Schmeelk-Cone, K. (2023). Impact of Sources of Strength on adolescent suicide deaths across three randomized trials. ''Injury Prevention, 29'', 442–445. <nowiki>https://doi.org/10.1136/ip-2023-044936</nowiki>
 
Wingman-Connect counteracted the typical '''drift''' towards disconnection for Airmen at elevated suicide risk. Six-month findings again showed that W-CP offset the typical trajectory of decreasing connections for Airmen at elevated suicide risk.  
 
These findings are, to our knowledge, the first to show that a suicide prevention program for small personnel units improved significantly the group relationship network and socially integrated members over time. This study extends knowledge of the social and relationship impact of the Wingman-Connect Program as it decreased suicide risk.
 
Wingman-Connect Program counteracted the expected drift towards disconnection for Airmen at elevated suicide risk by targeting the unit’s relationship network itself. These groups built enhanced suicide protection into their relationship networks, with the most consistent benefits for Airmen at elevated risk of suicide and for those starting with fewest connections.
 
Program built enhanced suicide protection into unit relationship networks and counteracted standard drift towards disconnection for at-risk Airmen, despite no explicit content targeting connections specifically to at-risk Airmen. Findings support a growing case for the unique contribution of group-level interventions to improve social health of broader populations.
 
 
=== AutoGenerated ChatGPT stuff for inspiration: ===
 
 
In the context of preventative mental health care, "peer influenced" refers to the effects or changes in an individual's behavior, attitudes, or mental health status that result from interactions with, or the influence of, their peers. Peers can be individuals within the same age group, social circle, or community. This concept recognizes that individuals can be significantly impacted by the people they associate with, and that peer relationships can play a crucial role in one's mental health.
 
Peer influence can be both positive and negative. On the positive side, peers can provide support, understanding, and companionship, which can be beneficial for mental well-being. They can encourage healthy behaviors, offer validation, and serve as a source of motivation for making positive life changes. Peer support groups, for example, are often used in preventative mental health care to encourage positive mental health practices and provide a sense of community.
 
On the negative side, peer influence can lead to the adoption of harmful behaviors or attitudes, such as substance abuse, risky behaviors, or the perpetuation of stigma around mental health issues. It can contribute to stress, anxiety, and depression, especially if an individual is pressured to conform to group norms that are misaligned with their values or well-being.
 
Preventative mental health care aims to leverage the positive aspects of peer influence while mitigating the negative ones. This could involve creating environments where positive peer interactions are encouraged, educating individuals about the impact of peer influence, and developing strategies to resist negative peer pressure. The goal is to enhance protective factors and reduce risk factors associated with mental health issues, promoting overall mental well-being within communities and groups.

Latest revision as of 13:57, 22 July 2026

Peer influence is a documented mechanism through which behaviour spreads across a network, and the evidence shows it can travel in either direction: toward risk or toward protection, depending on who carries it. Wyman et al. (2019) found that "adolescents appear susceptible to suicidal behavior modeling," and identified a specific pathway for this: schools where "suicidal youth having higher relative popularity versus nonsuicidal peers" predicted higher suicide attempt rates school-wide. This is peer influence operating as a risk factor: when the students most connected to others are themselves struggling, that influence spreads through the network rather than staying contained.

Because influence travels through relationships people already have, the logical intervention is not to introduce a new outside channel but to redirect the existing one. Wyman (2014) describes exactly this design: "training for high school student peer leaders to prepare them to modify norms through their natural social networks (Sources of Strength) has increased schoolwide help-seeking acceptability, coping norms, and engagement of adults to help suicidal peers" (p. S254). Wyman et al. (2019) draw the same conclusion from their network data directly: "key opinion leader programs could be an effective approach to increase influence of youth with healthy coping practices including in network components with concentrated suicidal peers" (Discussion). The target of intervention, in both cases, is not the individual student but the influence pathway itself.

This same peer-level mechanism, rather than anything delivered to individuals separately, explains outcomes in an adult workplace population as well. In the Wingman-Connect trial, mediation analysis found that "participants' perceptions of being embedded in a more cohesive, healthy class accounted for significant portions of Wingman-Connect's impact on reducing suicidal ideation and depression symptoms" (Wyman et al., 2020, Results). The variable doing the work was the class's cohesion, a property of the peer group, not a property of any one trainee.

Two things should be said plainly. First, this evidence again concentrates in one research programme working primarily with adolescent and military populations. Second, the same duality that makes peer influence useful makes it risky if handled carelessly: Wyman et al. (2023) found that a peer-leader programme delivered with low fidelity "became potentially iatrogenic for ninth grade students," meaning the same mechanism that spreads protection can, if poorly implemented, spread harm instead. Peer influence is not inherently protective; it is a channel, and its effect depends on what travels through it.

Context: Peer Influence in Schools

Implementing peer influence deliberately in schools means training opinion leaders drawn from the student body itself, not adults standing outside it. Wyman et al. (2023) describe Sources of Strength as training "diverse youth key opinion leaders" to run "school-wide prevention campaigns," working through students' own "friendship groups" rather than a curriculum delivered top-down. Wyman (2014) frames the mechanism these leaders are meant to shift: peer-led messaging "modif[ies] norms through... natural social networks" rather than replacing them. The same evidence carries an implementation warning specific to this finding: because peer leaders are the channel, poor selection or poor support of those leaders does not merely fail to help Wyman et al. (2023) found low-fidelity delivery "became potentially iatrogenic for ninth grade students," meaning the leader-selection and training process itself needs as much rigour as the message being spread.

Context: Peer Influence among Remote Workers in IT and Technology

In distributed open-source teams, peer influence shows up as a documented, if secondary, factor in whether contributors stay engaged. Miller et al. (2019) surveyed established GitHub contributors who had disengaged and found "lack of peer support" among the self-reported social reasons for leaving, consistent with wider turnover research where "social embedding in a team" is described as "an antidote to turnover." However, the same study is honest that this was not the dominant factor: occupational transitions, such as changing jobs, were cited "significantly more than lacking peer support or losing interest that are more commonly discussed in the literature." For IT and technology remote workers, this suggests peer influence is a real but secondary lever, worth strengthening deliberately, but not a substitute for addressing the life and career transitions that drive most disengagement.

References

Miller, C., Widder, D. G., Kästner, C., & Vasilescu, B. (2019). Why do people give up FLOSSing? A study of contributor disengagement in open source. In F. Bordeleau et al. (Eds.), Open Source Systems (IFIP AICT, Vol. 556, pp. 116–129). Springer. https://doi.org/10.1007/978-3-030-20883-7_11

Wyman, P. A. (2014). Developmental approach to prevent adolescent suicides: Research pathways to effective upstream preventive interventions. American Journal of Preventive Medicine, 47(3, Suppl. 2), S251–S256. https://doi.org/10.1016/j.amepre.2014.05.039

Wyman, P. A., Pickering, T. A., Pisani, A. R., Rulison, K., Schmeelk-Cone, K., Hartley, C., Gould, M., LoMurray, M., Brown, C. H., & Valente, T. W. (2019). Peer‐adult network structure and suicide attempts in 38 high schools: Implications for network-informed suicide prevention. Journal of Child Psychology and Psychiatry, 60(10), 1065–1075. https://doi.org/10.1111/jcpp.13102

Wyman, P. A., Pisani, A. R., Brown, C. H., Yates, B., Morgan-DeVelder, L., Schmeelk-Cone, K., Gibbons, R. D., Caine, E. D., Petrova, M., Neal-Walden, T., Linkh, D. J., Matteson, A., Simonson, J., & Pflanz, S. E. (2020). Effect of the Wingman-Connect upstream suicide prevention program for Air Force personnel in training: A cluster randomized clinical trial. JAMA Network Open, 3(11), e2022532. https://doi.org/10.1001/jamanetworkopen.2020.22532

Wyman, P., Cero, I., Brown, C. H., Espelage, D., Pisani, A., Kuehl, T., & Schmeelk-Cone, K. (2023). Impact of Sources of Strength on adolescent suicide deaths across three randomized trials. Injury Prevention, 29, 442–445. https://doi.org/10.1136/ip-2023-044936