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Connec&ng the macro to the micro: social networks, social support and social capital ISBT 2010 What we will cover • Intro to social networks – Defini&ons – Forces that create/perpetuate (focus on macro) • Mezzo level – Social capital • Micro level – Social support Social networks • Social networks – Defini&on: people linked by “interac&ons of interest” – Can be a member of mul&ple networks simultaneously • Core network – Sources of support, eg, emo&onal, informa&onal, financial – People you live/eat with • Risk networks – People you have sex with/do drugs with – Common aQendance at a behavior seRng, eg, Fells Point bar • Work/professional networks • Recrea&on/leisure networks – Mul&ple networks can have a lot of or minimal overlap Characteris&cs of networks • Size (number of members) • Density of connec&ons • Rela&onship to other social or to physical boundaries (homogeneity) • Frequency of contact • Number of types of “transac&ons” that can take place (mul&ple func&ons) • Reciprocity http://blog.kiwitobes.com; data source US SEC http://blog.kiwitobes.com; data source US SEC What forms/shapes networks? • Common needs, desires, concerns • Boundaries and opportuni&es “determined” by culture, SES, policy/poli&cal environment – PaQerns of physical and social mobility – ARtudes toward others – Home Owner’s Loan Corpora&on policies in the 1930s reinforced ethnic segrega&on paQerns in Philadelphia and other ci&es Hierarchy of ethnici&es, 1933, FHA • • • • • • • • • • English, German, Scot, Irish, Scandinavian North Italian Bohemian or Czech Polish Lithuanian Greek Russian Jewish of “lower class” Southern Italian Negro Mexican From: Pie&la A. Not in my neighborhood. 2010;62. Redlining in Richmond • Home Owner’s Loan Corpora&on (HOLC) surveyed and classified Richmond neighborhoods on the basis of terrain, proximity to resources, and demographics • Visit hQp://americanpast.richmond.edu/holc/neighborhoods/map to view interac&ve maps and other documents Blockbus&ng in Bal&more • Real estate industry prac&ce of “breaking” an all-­‐white neighborhood by plan&ng an a paid black tenant, scaring white home owners into below-­‐market sales of their homes. • Homes were then purchased and sold at above-­‐market rates to African Americans, oeen at usurious terms. • hQp://www2.citypaper.com/printStory.asp?id=19948 • Not in My Neighborhood: How Bigotry Shaped a Great American City by Antero Pie&la. hQp://www.amazon.com/Not-­‐My-­‐Neighborhood-­‐Bigotry-­‐ American/dp/1566638437 2002 Bal&more City Census Tracts by Racial Composi&on Yellow dots = scaQered site public housing Green dots/squares = public or elderly housing with 50% or more Black residents Red crosses = “projects” slated for demoli&on Source: ACLU Affinity Group Marke&ng • Wells Fargo used an affinity group marke&ng team to aggressively market subprime loans to qualified black buyers • NAACP filed suit against several large financial ins&tu&ons for allegedly pursuing similar tac&cs Impact of neighborhood characteris&cs on social networks and developmental dispari&es • Dangerous neighborhoods – Make social interac&on less possible – Increase isola&on • • • • • Mothers may be more isolated, have fewer social contacts Less access to collabora&ve paren&ng Decreased social support and social capital More likely to be depressed, fa&gued Less posi&ve/s&mula&ng interac&on with children Func&ons of networks –individual level • Social support – Instrumental and financial – Informa&onal – Emo&onal • Opportuni&es for engagement – Meaningful social roles • Opportuni&es for person-­‐to-­‐person contact – Oeen seen as risk Social support – instrumental and emo&onal factors • Provision of informa&on – BeQer decision-­‐making, increased sense of control, open avenues to posi&ve coping • Prac&cal assistance – Financial, transporta&on, other assistance that make coping possible or relieve other stresses • Emo&onal empathy and comfort – Enhance confidence and self-­‐esteem, reduce isola&on, reduce nega&ve affect, stress Studies of social support and health • Many studies suggest broad rela&onship between social support and health status – Most famous: Alameda County study, published 1979: par&cipa&on in social networks related to decreased all-­‐cause mortality – Woolcock: controlling for BP, age, exercise, and other risk factors, chance of adult dying in the coming year is cut by 50% if join one group and by 75% if join two. Social networks and behavior • Norms and standards – Can be “prescrip&ve” in that network members ‘tell you what to do’ – rules and laws • Based in reciprocity • Based on claim to scarce resources allocated by the network – Sub-­‐Saharan HIV adherence example Func&ons of networks – “mezzo” • Social capital – Resources that can be called on by individuals for need or growth – Characteris&cs of network that facilitate coordinated ac&on • Social influence (for later) – Feedback – Norms and models Social capital • A resource that can be called upon when needed for collec&ve well-­‐being • Does not require emo&onal closeness, familiarity, or even frequent contact • Common thread is feeling of reciprocity, trust, shared norms • Improves “efficiency” – do more with rela&vely scarce resources Reciprocity and collec&ve efficacy • Increased reciprocity with those you are acquainted with • Increased trust in those you don’t know • Increased willingness to contribute to common causes – See others as deserving – Feel that others will look out for you, too Social capital examples • Your “Rolodex” or “Facebook” page • Coun&ng on neighbors to keep an eye on your house or children • Saying hello to the guard at the door • Knowing who you could call for… Islam MK, Intl J Equity Health 2006;5:3 Spa&al clustering of collec&ve efficacy • Clustering demonstrates how neighborhoods influence each other – Dark colours indicate sta&s&cally significant clusters – High efficacy areas tend to cluster with high and vice versa – Significant boundary areas might be places for interven&ons that spread capital to new parts of a city – opportuni&es for “bridging” Map of intergenera&onal closure Red = clusters of high efficacy Blue = clusters of low efficacy Data source: Sampson RJ. The neighborhood context of well-being. Perspect Biol Med 2003;46 suppl 3: S53-S64 Social capital and health-­‐related issues • At ecologic level: – More spending on educa&on – More philanthropy – BeQer child and adult health status – Less crime • Cause or effect? – More income equality Summing up • Many links of SES to health status probably mediated by the ways in which SES defines who we live and work with • Social mechanisms behind health-­‐SES links for both absolute and rela&ve SES • Inequality self-­‐perpetua&ng in that it perverts incen&ves and reduces resources and interac&ons that would otherwise mi&gate inequality