Health Disparities Nancy E. Adler, PhD University of California, - - PowerPoint PPT Presentation

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Health Disparities Nancy E. Adler, PhD University of California, - - PowerPoint PPT Presentation

Five Generations of Research on Health Disparities Nancy E. Adler, PhD University of California, San Francisco Center for Health Equity University of Minnesota April 4, 2013 Articles with key term health disparity, health


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Five Generations of Research on Health Disparities

Center for Health Equity University of Minnesota April 4, 2013

Nancy E. Adler, PhD

University of California, San Francisco

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Years Health Disparity Health Inequality Health Inequity ‘83-’92 6 1 ’93-’02 205 18 ‘03-’12 4,019 82 30 Articles with key term “health disparity,” “health inequality,”

  • r “health inequity”

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Health Disparities Research Generations Each generation:

–Asked more complex, nuanced questions –Left unresolved issues

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1st generation –

Poverty and Race

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Threshold Effect of Poverty

Health Income Poverty Line

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Unresolved issues:

  • Nature of association
  • Intersection of race and poverty
  • Other bases of social stratification
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Second Generation:

SES – health gradients

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Source: Marmot M, et al., Society & Health, 1995

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0.5 1 1.5 2 2.5 3 3.5

Adjusted Odds Ratio

>70,000 50,001-70,000 30,001-50,000 20,001-30,000 15,001-20,000 <15,000

Income (in dollars)

Adjusted odds ratio for death from all causes according to annual household income, 1972-1989

The group with an annual household income of more than $70,000 (in 1993 dollars) is the reference group. Data are from McDonough et al. Am. J Pub Hlth, 1997.

Source: Issacs & Schroeder (2004) New England Journal of Medicine 10

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Chen, Matthews & Boyce, Psychological Bulletin. 2002, 128:295-329

3 6 9 12 15 18 1 2 3 4 5

Any limiting chronic condition Asthma prevalence Ear disease Injury Physical inactivity

Prevalence of Health Problems in Children

SES (lowest to highest)

Percentage

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Unresolved issues

Diseases:

Reversals for some diseases Populations:

Reversals in some countries

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Diseases

  • Gradient for CVD, stroke, diabetes,

mood disorders, lung cancer (now)

  • Reverse gradient: Breast cancer,

skin cancer

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Populations Reverse gradient in lower income nations

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SES & health: lower income and developing countries

  • In developing countries, higher socio-economic

status (SES) is associated with:

–↓ Blood pressure (Chile, Brazil, Colombia) –↑ Blood pressure (Nigeria) –↑ Hypertension (India) –↑ & ↓ Hypertension (Jamaica)

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—Methodologic concerns (i.e. definitions of SES) —Sample sizes —Truly different patterns in developing countries?

Why the inconsistencies?

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Oportunidadas: SES & blood pressure

  • Lowest income women in a middle income

country

  • Blood pressure in relation to:

– Education – Income – Housing/Assets – Subjective Social Status (community)

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120 121 122 123 124 1 2 3 4 5 6 7 8 9 Subjective social status Systolic blood pressure

Anomalous finding?

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Systolic blood pressure

β (95% C.I.) Household income per capita Second tertile +1.01 (0.30, 1.73)*** Third tertile +1.95 (1.21, 2.69)*** Education Primary school

  • 0.86 (-1.75, 0.03)*

Secondary school

  • 2.03 (-3.13, -0.94)***

Body mass index 0.57 (0.51, 0.64)*** Subjective social status +0.23 (0.10, 0.36)***

N=8840, *Significant at 10%, *** Significant at 1% Model adjusted for age Results are from multiple linear regression, adjusted for clustering at household level R-squared for model is 0.18

Fernald & Adler J Epidemiol Comm Health (2008)

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Income is a risk factor for high BP

Fernald & Adler J Epidemiol Comm Health (2008)

120 121 122 123 124 125 126 127 128 129 130 1 1.5 2 2.5 3 3.5 4 Income per capita (log-transformed) Systolic blood pressure (mmHg) No education Some primary Some secondary

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Third Generation:

Mechanisms

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How does socioeconomic status get under the skin?

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MaArthur Foundation Research Network model

SES Education Occupation Income Subjective SES SES Inequality Race Gender Environmental Resources & Constraints Neighborhood Factors Social Capital Work Situation Family Environment Social Support Discrimination Psychological Influences Resilience/Reserve Capacity Negative Affect (anxiety, depression, hostility) Lack of Control Negative Expectations Perceived Discrimination Reactive Responding Access to Medical Care Exposure to Carcinogens & Pathogens Health Related Behaviors CNS & Endocrine Response Allostatic Load Health Cognitive fx Physical fx Disease Disease Trajectories Recovery Relapse Secondary Events Mortality

Life Course

Health Outcomes

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Proportions

(Premature Mortality) (Premature Mortality)

Genetic 30% Health care 10%

Determinants

  • f Health

Behavior 40%

Genetic predisposition Behavioral patterns Environmental exposures Social circumstances Health care

Social 15% Environment 5%

Source: McGinnis JM, Russo PG, Knickman, JR. Health Affairs, April 2002.

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MaArthur Foundation Research Network model

SES Education Occupation Income Subjective SES SES Inequality Race Gender Environmental Resources & Constraints Neighborhood Factors Social Capital Work Situation Family Environment Social Support Discrimination Psychological Influences Resilience/Reserve Capacity Negative Affect (anxiety, depression, hostility) Lack of Control Negative Expectations Perceived Discrimination Reactive Responding Access to Medical Care Exposure to Carcinogens & Pathogens Health Related Behaviors CNS & Endocrine Response Allostatic Load Health Cognitive fx Physical fx Disease Disease Trajectories Recovery Relapse Secondary Events Mortality

Life Course

Health Outcomes

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SES Education Occupation Income Subjective SES SES Inequality Race Gender Environmental Resources & Constraints Neighborhood Factors Social Capital Work Situation Family Environment Social Support Discrimination Psychological Influences Resilience/Reserve Capacity Negative Affect (anxiety, depression, hostility) Lack of Control Negative Expectations Perceived Discrimination Reactive Responding Access to Medical Care Exposure to Carcinogens & Pathogens Health Related Behaviors CNS & Endocrine Response Allostatic Load Health Cognitive fx Physical fx Disease Disease Trajectories Recovery Relapse Secondary Events Mortality

Life Course

Health Outcomes

MacArthur Foundation Research Network model 26

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Health Behaviors by Education – U.S. Adults

10 20 30 40 50 60

No HS diploma HS diploma Some college BA degree or more

Percentage Education

Cigarette smoking Recommended activity level

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SES Education Occupation Income Subjective SES SES Inequality Race Gender Environmental Resources & Constraints Neighborhood Factors Social Capital Work Situation Family Environment Social Support Discrimination Psychological Influences Resilience/Reserve Capacity Negative Affect (anxiety, depression, hostility) Lack of Control Negative Expectations Perceived Discrimination Reactive Responding Access to Medical Care Exposure to Carcinogens & Pathogens Health Related Behaviors CNS & Endocrine Response Allostatic Load Health Cognitive fx Physical fx Disease Disease Trajectories Recovery Relapse Secondary Events Mortality

Life Course

Health Outcomes

MacArthur Foundation Research Network model 28

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Telomeres cap ends of chromosomes (Blackburn, 1978)

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Telomere Length and Survival

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Scatter plots of chronicity of stress by telomere length in caregivers and perceived stress scores by telomere length

Epel et al. (2004). PNAS

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Cherkas et al. (2006). Aging Cell

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SES Education Occupation Income Subjective SES SES Inequality Race Gender Environmental Resources & Constraints Neighborhood Factors Social Capital Work Situation Family Environment Social Support Discrimination Psychological Influences Resilience/Reserve Capacity Negative Affect (anxiety, depression, hostility) Lack of Control Negative Expectations Perceived Discrimination Reactive Responding Access to Medical Care Exposure to Carcinogens & Pathogens Health Related Behaviors CNS & Endocrine Response Allostatic Load Health Cognitive fx Physical fx Disease Disease Trajectories Recovery Relapse Secondary Events Mortality

Life Course

Health Outcomes

MacArthur Foundation Research Network model 34

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  • 2
  • 1

1 2 Ambiguous Negative Low SES High SES

SES & Interpretations

Threatening Benign A: t (28) = 2.99, p < .01 N: t (28) = 0.25, ns

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Adolescents who make negative interpretations have higher mean night time heart rate

67 68 69 70 71 72 1 2 3 4

Quartile of Negative Interpretation Scores HR

Chen et al. Ann Behav Med, 2007 36

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Unresolved issues: Third generation

Why do health behaviors vary by SES? Do psychosocial resources mediate or moderate SES effects? What is the time lag between exposure and health problem?

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Fourth Generation:

Multiple-levels

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Neighborhood as proxy for individual Neighborhood independent of individual

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Significant, independent impact

  • f neighborhood (but small effect)

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Built environment:

Supermarkets Recreational facilities Parks

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Individual vs. social determinants of obesity

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Behavioral Justice

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Unresolved issues: Fourth generation

Interactive effects of different basis of disadvantage Relationship of individual and social levels

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Interactions and Systems

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Fifth Generation

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Example One

Interaction of individual and neighborhood SES

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Death per Neighborhood SES

500 1000 1500 2000 Low Medium High Neighborhood SES Deaths per Low SES Med SES High SES 500 1000 1500 2000 Low Medium High Neighborhood SES Deaths per Low SES Med SES High SES

Women Men

Winkleby, Cubbin & Ahn. (2006). AJPH.

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Example Two

Interaction of SES and race / ethnicity

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Chen et al. AJPH, 96(4), 2006.

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Correlations of income and education with telomere length (year 15) and change in telomere length (year 10-15) for white (n = 78) and black (n = 52) men White Black

Education Income Education Income TL Year 15

  • .27*
  • .33*

.08 .12 Change Year 10-15

  • .27*
  • .35*

.01 .02

* All p’s ≤ .01 50

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TL x Education x Race – Full Sample

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Cross-cutting unresolved issues: Causal direction Rigor vs. vigor

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Causal direction

SES health Health SES SES X Health

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Source: Adler, N.E., Stewart, J., et al. (2007). Reaching for a healthier life 54

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Single cause – single effect

Source: Cohen et al., 2004

Parental home ownership (age 0-5) Probability of cold

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“Poverty is associated with other experiences

  • f disadvantage (such as poor schools or

being raised by a single parent), making it difficult to be certain whether it is poverty per se that really matters or other related experience.”

Duncan and Magnuson (2010), The Long Reach of Early Childhood Poverty

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Overestimation & Underestimation

  • Any one risk may be overestimated if looked

at in isolation

  • Overall impact of social disadvantage may

be underestimated if not taken as totality

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Cumulative Effects

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Isle of Wight Study

  • Low parental SES
  • Large family size
  • Marital discord
  • Paternal criminality
  • Maternal mental

illness

  • Foster placement

61 Source: Rutter, 1979

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Findings

No single risk significantly raised rates of childhood psychiatric disorder, but

Two risk factors Four risk factors Four-fold increase Ten-fold increase

62 Source: Rutter, 1979

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Issues in use of risk scores

  • Assumption that each risk is equally

weighted

  • Independent effects

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Odds of Children Having Poor Health by Individual and Cumulative Risk Factors (0-18)

Model 1 (separate) Model 2 (together) Risks OR OR Non-white 1.8*** 2.5*** Mom poor mental health 3.5*** 4.5*** Dad poor mental health 1.5 2.1** Mom < HS education 1.6* 2.6*** Dad < HS education 1.9** 2.9*** Low income family 2.1*** 3.3*** Highly mobile family 1.3 1.9** Resource poor neighborhood 1.8** 2.4*** 64 Cumulative Risks Ref Ref 1 2.7***

  • 2

3.6*** 0.5 3 9.5*** 0.5 4+ 19.7*** 0.2**

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