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Social Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development Studies WHO Geneva, June 2-4,2010

Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

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Page 1: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social Networks and Health

Lisa F. Berkman, Ph.D.

Cabot Professor of Public Policy and

Director, Harvard Center for Population and

Development Studies

WHO

Geneva, June 2-4,2010

Page 2: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social Network Model

IND. Extended

Zone

Nominal

Zone

Effective

Zone

Intimate

Zone B

Intimate

Zone A

Personal

Cell

Source: Bolssevain, Jeremy: Friends of Friends, 1974

Page 3: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Conceptual Model of How Social Networks Impact Health

Downstream FactorsUpstream Factors

Condition: the extent, shape, and nature of…

Which provides opportunities for…

Social-Structural Conditions (Macro)

Social Networks (Mezzo)

Behavioral Mechanisms (Micro)

Pathways

Culture• Language• Norms and values• Competition/cooperation

Socioeconomic Factors• Inequality• Discrimination• Conflict• Labor Market structures

Sociogeographic Factors• Urban/rural• Neighborhood characteristics• Residential and occupational

segregation

Social Change• Urbanization• War/civil unrest• Economic depression

Network Structure• Size• Density• Reciprocity• Reachability• Proximity• Organizational structure• Social ranking

Network Activation• Frequency of face-to-face

interaction• Frequency of nonvisual contact• Frequency of organizational

participation (attendance)• Duration and intensity o

Social Support/conflict• Instrumental and financial• Informational. Appraisal• Emotional• Conflict/negative

Access to Resources and

Material Goods• Jobs/economic opportunity• Access to health care• Housing• Human capital• Referrals/institutional contacts

Social Engagement• Physical/cognitive exercise• Reinforcement of meaningful

social roles• Interpersonal attachment

Social Influence• Constraining/enabling

influences on health behaviors• Attitudes and norms toward

help-seeking• Attitudes and norms toward

treatment adherence

Psychobiological Pathways• Stress-response/allostatic lode• Immune system function• DHEA levels• Glucocoticoid levels• Blood pressure• Cardiovascular reactivity• inflammattion

Health Behavioral

Pathways• Smoking/alcohol consumption• Diet• Exercise• Adherence to medical

treatments• Help-seeking behavior

Psychosocial Pathways• Self-efficacy• Coping effectiveness• Relaxation/stress management• Depression/distress• Sense of well-being/QOL

Which impacts health through the following…

Page 4: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

The upside of social integration,

social support:

experimentally induced support

or disease exposure

Page 5: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Clinical ColdsClinical Colds

6 Day Quarantine

VIRUSVIRUS

Social RolesSocial Roles

Pittsburgh Common Cold Study N=276:

Cohen et al JAMA,1997

Page 6: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social Roles and ColdsCohen et al JAMA,1997

1 - 3 4 - 5 6 +

3 0

4 0

5 0

6 0

# o f H ig h - C o n t a c t R o le s

% w

ith

Co

lds

O R = 4 .2 3 *

O R = 1 .8 7 *

O R = 1 .0 0

( O d d s r a t io s a r e a d ju s te d f o r c o n t r o l v a r ia b le s . )

Page 7: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social Support and Blood Pressure Reactivity to

Challenge: experimentally induced blood pressure

reactivity

Page 8: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social Networks and Health:

results from observational studies

Page 9: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social integration and mortality

in a French occupational cohort:

EDF-GDF employees

0

0.5

1

1.5

2

2.5

3

men women

high

med/high

med/low

low

Adjusted for age, occupational grade, cigarette smoking, alcohol consumption, BMI,

depressive symptoms, self-rated health, and geographical region.

Page 10: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Survival curves by marital status and

presence of close confidant

0.5

0.6

0.7

0.8

0.9

1

0 1 2 3 4 5 6

Year of Follow-up

% S

ur

viv

al

Married and/or confidant Unmarried, no confidant

Williams et al., JAMA 1992

Page 11: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

6-Month Mortality post MI by

Emotional Support: EPESE

23%

36%

53%

0

20

40

60

80

100

0 Sources 1 Source 2 or More Sources

Emotional Support*

Rela

tive R

isk (

%)

n = 53 n = 111 n = 26

*P ≤ .05.

Source: Berkman, Leo-Summer, Horwitz: Emotional Support and Survival Following Myocardial Infarction. Ann Intern Med, 1992

Page 12: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Caregiving: the upside and

downside

Page 13: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Caregiving in the Nurses Health

Study.

Lee,Colditz,Berkman,Kawachi, AM J Prev Med

2003:24(2):113-119

• 54,412 women in the Nurses Health Study,

ages 46-71 (no documented CHD)

• Information on caregiving in 1992

• CHD follow up 1992-1996

• 321 incident cases, 231 nonfatal, 90 fatal

Page 14: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

CHD Risk: Caregivers of Disabled/Ill Spouse

0.0

0.5

1.0

1.5

2.0

2.5

3.0

3.5

Total CHD Nonfatal CHD

0 1-8 >=9Hours of Caregiving Per Week:

214 7 10297 8 16

Page 15: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Mounting evidence that

caregiving takes a toll

• Schulz and Beach. Caregiving strain increases

mortality risk ( RR=1.63)

• Caregivers have poorer immune function,slower at

would healing( Kiecolt-Glaser et al)

• Caring for disabled child , telemere length and

telemerase ( Epel, Blackburn et al)

• Caring for cognitively ill is especially

stressful(EPESE)

Page 16: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Social integration predicts

the preservation of memory in

US elderly:

Findings from the Health and

Retirement Study

Karen A. Ertel

M. Maria Glymour

Lisa F. Berkman

Page 17: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Methods: Study Sample

• Health and Retirement Study (HRS)

• Nationally-representative sample of US

residents born before 1948

• 4 waves of data collection:

– 1998, 2000, 2002, 2004

• N=16,638

Page 18: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Methods: Exposure Measure

• Social integration at baseline (1998)

1. Marital status

2. Volunteer activities

3. Contact with parents

4. Contact with children

5. Contact with neighbors

Possible scores: 0, 1, 2, 3, 4, 5

Page 19: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Results: Trajectory of memory scores comparing

subjects with high versus low social integration

9.0

9.2

9.4

9.6

9.8

10.0

10.2

10.4

10.6

1998 2000 2002 2004

Year

Me

mo

ry s

co

re

High social integration

Low social integration

Predictions are for white males with mean age, income, wealth, and education,

and healthiest baseline scores for all health measures.

Page 20: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

TASK THEORETICAL CONSTRUCT(S) SAMPLE ITEMS

Word List Recall

(immediate and

delayed)

Episodic verbal memory 15 words

(e.g., flower, truck, school)

Backward Digit

Span

Working memory Spans from 2 to 8

(e.g., 7, 2, 5, 3 = 3, 5, 2, 7)

Category Verbal

Fluency

Executive function, semantic

memory

List as many animals as possible in

60 seconds

Number Series Inductive reasoning 5 series of 5 numbers (e.g., 35, 30,

25, 20, 15… correct answer = 10)

Backwards

Counting

Processing speed Counting backward quickly from

100

Attention-

Switching,

Stop and Go Task

Switch

Reaction time, attention,

task switching

Normal condition:

Green = Go; Red = Stop

Reverse condition:

Green = Stop; Red = Go

With mixed and switched trials

MIDUS Brief Test of Adult Cognition by Telephone (BTACT)(Lachman & Tun, 2008)

Page 21: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

*

***

*

-1.5

-1

-0.5

0

0.5

32-44

(p=0.08)

45-54

(p=.002)

55-64

p=0.03)

65-74

(p=0.32)

75+ (p=0.13)

Mea

ns

Q1 Q2 Q3 Q4

Executive Function &

Social Conflict [avg. M1&M2]

Age stratified

Page 22: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Can we intervene to promote

health by improving social

networks and social support?

Page 23: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

ENRICHD-Enhancing Recovery in coronary heart

disease: Objective

Berkman et al: Effects of Treating Depression and Low Perceived Social Support on Clinical Events After

Myocardial Infarction: ENRICHD Randomized Trial. JAMA, 2003. 289(23)

• To test the hypothesis that treatment of

depression and low social support early after an

acute myocardial infarction will reduce death

and nonfatal recurrent infarctions.

Page 24: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Study Design ENRICHD JAMA 2003;289:3106

• Randomized, parallel-group clinical trial to

compare the efficacy of a psychosocial

intervention vs. usual care

• 2,481 post-MI patients with depression or low

social support

• Average 3.4 years of follow-up

• Blinded ascertainment of primary endpoint

• Intention to treat analysis

Page 25: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Baseline to 6-month Changes in Social

Support and Depression

5.1

-10.1

-15

-10

-5

0

5

10

ESSI Hamilton depression

score

Intervention

ESSI reported for patients with low social support only

Hamilton depression score reported for depressed patients only

Intervention effect

p<0.001

Page 26: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Baseline to 6-month Changes in Social

Support and Depression

5.1

-10.1

3.4

-8.4

-15

-10

-5

0

5

10

ESSI score Hamilton depression

score

Intervention

Usual care

ESSI reported for patients with low social support only

Hamilton depression score reported for depressed patients only

Intervention effect

p<0.001

Page 27: Social Networks and Health - · PDF fileSocial Networks and Health Lisa F. Berkman, Ph.D. Cabot Professor of Public Policy and Director, Harvard Center for Population and Development

Kaplan-Meier Survival Curves