S OCIAL C APITAL , GENDER EQUITY AND H EALTH : E VIDENCE FROM THE WHO - - PowerPoint PPT Presentation
S OCIAL C APITAL , GENDER EQUITY AND H EALTH : E VIDENCE FROM THE WHO - - PowerPoint PPT Presentation
S OCIAL C APITAL , GENDER EQUITY AND H EALTH : E VIDENCE FROM THE WHO SAGE S URVEYS Nandita Bhan, GEH authors, Anita Raj Center on Gender Equity and Health (GEH) University of California, San Diego Working Paper Presentation for 30 October 2017
Background
- Health and wellbeing predominantly a construction of
individual and household determinants
- Contextual determinants are neglected
- Considered residual in models
- Harder to act upon – tailor interventions
- Harder to measure
- Increasing systematic inquiry into ‘context’
- Recognition that individuals flourish or harmed by their environment
- Interventions at collectives, environmental determinants and policies
Conceptualizing Social Capital
- Durkeim: anomie - individuals do not feel attached to the
collective
- Bourdieu – economic, social and cultural capital
- Coleman – reciprocity and trust -> insurance
- Putnam – decline in social capital
- ….. Many of you
- However, harder to integrate these ideas in health studies
- Level of measurement unclear
- Defining the ‘collective’
- Limited understanding of mechanism
- Debate on terminology: social capital vs. cohesion?
Definition
- Social capital is a form of economic and cultural capital, in
which networks are central, transactions are marked by reciprocity, trust and cooperation, and market agents produce goods and services not only for themselves but for a common good.
- Resources
- Relationships
- Impact
- Traditionally used to explain why groups do better despite
adversity
- Reflection of many things – bonding and bridging
Contextualizing ‘Context’
- Industrialization and urbanization transforming social
capital in an irreversible way (Durkheim, Simmel, Weber)
- Is the conceptualization of social capital from developed countries
applicable to LMICs?
- How can social capital and contextual transformations be seen
from the prism of urbanization in LMICs, including population changes brought on by migration?
- Do contextual determinants interact with gender and
impact men and women differently?
Study Objective
- Investigate the relationships
between 4 aspects of social capital in the transitioning context of LMICs and their associations with
- Active travel
- Recreation
- Depression
- Are they outcomes of social
capital or are they manifestations of societal breakdown?
Why are these outcomes important?
- Rising burden of chronic conditions linked to both physical
inactivity and depression.
- Physical activity is the 4th leading risk factor; but offers the
largest range of interventions
- Individual (recreation) and systems (systems for active travel) level
- Recreation
- Mechanistic links – social capital drives agency or determines
engagement, thereby influencing these outcomes directly
- Growing evidence that these outcomes linked to urbanization
- Is urbanization driving the social change or part of it?
- Urbanization includes infrastructure, norms and relationships
Markers of Social Capital
Connectedness Perception of Safety Perception of trust on others Participation to create change
Data and Sample
- WHO Study on Global AGEing and Adult Health (SAGE) (Wave 1, 2007-10)
- 6 LMICs: China, Ghana, India, Mexico, Russia and South Africa.
- 50+ sample, with sub-samples of sample of younger 18–49 years
- Data collected through standardized survey instrument and training
protocols.
- Response rates : China (93%), Ghana (81%), India (68%), Mexico (53%), Russia
(83%) and South Africa (75%)
- Ethical clearance
Sample
- n=47,443 adult persons; China: 15,050; India: 12,198; Mexico: 5448; Russia:
4947, South Africa: 4227; Ghana: 5573).
Dependent Variables
- Active Travel: physical activity in getting to and from places.
- “Do you walk or use a bicycle (pedal cycle) for at least 10 minutes
continuously to get to and from places?”.
- Recreational Activity: involvement in leisure or fitness (moderate to
vigorous)
- “Do you do any vigorous intensity sports, fitness or recreational (leisure)
activities that cause large increases in breathing or heart rate [like running
- r football], for at least 10 minutes continuously” or “Do you do any
moderate-intensity sports, fitness or recreational (leisure) activities that cause a small increase in breathing or heart rate [such as brisk-walking, cycling or swimming] for at least 10 minutes at a time?”
- Depression: problems related to feeling sad, low or depressed over the last
30 days
Measures for Social Capital
Social Connectedness Visited by friends, been to a different neighborhood, socialized with co-workers outside of work, attended religious services or went out of home to attend social meetings or events. Trusting neighbors “great extent”, “neither great nor small” and “small extent”. Trusting co-workers “great extent”, “neither great nor small” and “small extent”. Trusting strangers Classified as to a “great extent”, “neither great nor small” and “small extent”. Social participation Attended public meetings, met with a community leaders, attended groups or clubs, and worked to fix or improve something. Perception of safety at home “In general, how safe from crime and violence do you feel when you are alone at home?” : “very safe”, “slightly safe” and “unsafe”. Perception of safety
- n the street
“How safe do you feel when walking down your street alone after dark?”: “very safe”, “slightly safe” and “unsafe”.
Results
Prevalence (%) of active travel, recreation and depression across study countries
Active Travel (none) Recreation (yes) Moderate to severe Depression China 30.17 17.8 3.9 India 23.81 15.7 22.03 Mexico 40.43 8.58 19.92 Russia 29.94 11.67 16.78 South Africa 60.19 9.51 22.73 Ghana 24.75 15.13 19.41 <0.001 <0.001 <0.001
Patterning of Connectedness by Country and Gender
10 20 30 40 50 60 70 80 Men Women Men Women Men Women Men Women Men Women Men Women China India Mexico Russia South Africa Ghana
%
Degree of Social Connectedness Low High
Patterning of feeling unsafe on the street by country and gender
10 20 30 40 50 60 Men Women Men Women Men Women Men Women Men Women Men Women China India Mexico Russia South Africa Ghana
% Feeling Unsafe on the Street
Slightly Unsafe Unsafe
Patterning of feeling unsafe at home by country and gender
10 20 30 40 50 60 Men Women Men Women Men Women Men Women Men Women Men Women China India Mexico Russia South Africa Ghana
%
Feeling unsafe at home
Slightly Unsafe Unsafe
Patterning of Trust on strangers and neighbors by country and gender
10 20 30 40 50 60 70 80 90 100
Men Women Men Women Men Women Men Women Men Women Men Women China India Mexico Russia South Africa Ghana
%
Strangers - Small Extent Neighbor- Small Extent
Patterning of social participation by country and gender
10 20 30 40 50 60 70 80
Men Women Men Women Men Women Men Women Men Women Men Women China India Mexico Russia South Africa Ghana
%
Low High
Regression results: Outcome - Moderate to High Depression
Levels of social connectedness and participation to create change Connected Participation Medium 1.07 (0.83,1.37) 1.21 (0.93,1.56) Low 2.29* (1.78,2.96) 1.99* (1.56,2.55) Female 1.5* (1.35,1.67) 1.55* (1.38,1.74) Medium*Female 0.99 (0.85,1.15) 0.91 (0.78,1.07) Low*Female 0.82* (0.71,0.95) 0.78* (0.67,0.90) Urban 0.86* (0.80,0.92) 0.85* (0.80,0.91)
- Adjusted for age, country and education
- R2 for the participation models twice that of connectedness
Gender inequities in perception of safety
At home In the street Slightly unsafe (%) Unsafe (%) Slightly unsafe (%) Unsafe (%) Male 23.03 4.16 33.1 8.45 Female 30.5 5.96 41.2 14.3
Regression results for all outcomes by perception
- f safety
At home In the streets Active Travel Recreation Depression Active Travel Recreation Depression Slightly unsafe 1.48* (1.25,1.75) 0.89 (0.72,1.11) 2.09* (1.68,2.61) 1.38* (1.17,1.62) 0.93 (0.77,1.13) 1.69* (1.35,2.11) Unsafe 1.58* (1.12,2.22) 0.83 (0.50,1.36) 2.21* (1.49,3.29) 1.65* (1.28,2.13) 0.71 (0.49,1.02) 2.18* (1.60,2.97) Female 1.36 (1.29,1.44) 0.70* (0.66,0.75) 1.56* (1.44,1.69) 1.46* (1.37,1.55) 0.68* (0.63,0.74) 1.54* (1.41,1.68) Slightly unsafe *female 0.87* (0.79,0.96) 1.1 (0.97,1.26) 0.75* (0.66,0.85) 0.82 (0.75,0.90) 1.09 (0.97,1.23) 0.81* (0.71,0.92) Unsafe*femal e 0.77* (0.63,0.94) 1.17 (0.88,1.57) 0.85 (0.68,1.06) 0.72* (0.62,0.83) 1.25* (1.01,1.54) 0.82* (0.69,0.97) Urban 1.06* (1.01,1.12) 2.09* (1.96,2.23) 0.87* (0.81,0.92) 1.07* (1.02,1.12) 2.09* (1.96,2.23) 0.86* (0.80,0.92)
Regression results for active travel and recreation by trust
Neighbor Trust Stranger Trust Active Travel Recreation Active Travel Recreation Not great or small extent 1.15 (0.97,1.36) 1.22 (0.98,1.5) 1.35* (1.01,1.82) 0.34* (0.24,0.48) Small Extent 0.92 (0.75,1.13) 1.08 (0.84,1.39) 1.35* (1.04,1.75) 0.39* (0.29,0.52) Female 1.32* (1.24,1.4) 0.77* (0.71,0.83) 1.85* (1.59,2.15) 0.57* (0.48,0.68) Not great/not small* Female 0.98 (0.89,1.09) 0.83* (0.73,0.95) 0.77* (0.64,0.92) 1.36* (1.09,1.7) Small Extent*Female 0.99 (0.88,1.12) 0.97 (0.83,1.13) 0.67* (0.57,0.78) 1.32* (1.09,1.58) Urban 1.07* (1.02,1.13) 2.09* (1.97,2.24) 1.08* (1.03,1.13) 2.11* (1.98,2.25)
Discussion
- Markers of social capital associated with health outcomes
- Relationships vary; highlighting differences in degree and mechanism
- Urbanisation is an important aspect determining these outcomes
- Validation of previous work linking urbanization to health behaviors and
mental health
- Gender is a determinant for the outcomes
- Men and women may be internalizing and impacted by community contexts
in different ways
- Counter balancing health harming effects, with resilience and coping that
women may develop to inequitable community contexts.
- Implications of these findings?
- For policy and programs
Implications
- Bonding and bridging social capital explains group relations,
ethnicity networks in LMICs
- Negative aspects
- Reproduction of inequality
- Do citizens trust institutions
- Can be used to assess civic engagement and political participation
- For research and interventions on collectives to have meaning,