Title: Effect of Concurrent, Lagged, and Cumulative Exposure to Poverty on Childrens Health from 5 through
1Effect of Concurrent, Lagged, and Cumulative
Exposure to Poverty on Childrens Health from 5-
through 41 Months
- Béatrice Nikiéma , Lise Gauvin, Louise Séguin
Maria Victoria Zunzunegui - 12th World Congress on Public Health, Istanbul,
April 2009
2Introduction
- Poverty-health links are often studied
- Dynamics of poverty across time and its
relationship with health outcomes - More limited data
- Even fewer data among young children, across the
early childhood years - Lesser quantity of data on physical health
3Objective
- To examine how different durations and timing of
adverse economic circumstances are related to the
likelihood of experiencing childhood physical
health problems
4DataThe Québec Longitudinal Study of Child
Development (QLSCD)
- A birth cohort, coordinated by the Direction
Santé Québec of the Institut de la statistique du
Québec since 1998 - A representative sample of 2120 singleton live
births registered in the Québec live births
registry in 1997-1998 - Data collection 5 months annual follow-up
- By face to face interviews with parents (98
mothers) - Hospital records for data on neonatal conditions
5Data
- The four first waves of data
- Participation rate at baseline
- 5 months 83 n 2120
- Participation at follow-up
- 17 months 96 , n 2045
- 29 months 94 , n 1997
- 41 months 92 , n 1950
6Health Indicators
- Number of asthma attacks during the previous 12
months - Number of acute infections during the previous 3
months
7Defining Poverty
- Child Poverty Living in a household with
insufficient income - Before taxes annual income falls below the Low
Income Cut-Off (LICO) from Statistics Canada
8Defining Poverty
- Concurrent Poverty poverty measured
synchronously with the assessment of the health
outcome - Lag of Poverty poverty status recorded at the
previous measurement occasion - Cumulative Poverty total number of measurement
occasions during which a child was deemed to be
living in conditions of poverty
9Analytic Strategies Effects of Concurrent
Poverty or Lagged Poverty (1)
- Multilevel Models for Count Data (Poisson
regression) - Growth Curve Analysis
- 2 Hierarchical Levels
- Level 1measurement occasion Level 2children
- Laplace Approximation (Laplace6)
10Analytic Strategies Effects of Cumulative
Poverty (2)
- Multilevel Multivariate Response Analysis
- Level 1 health outcome at each measurement
occasion - Level 2 Children
- Separate fixed effects at each occasion
- Accounting for within-occasion variance and
between-occasion covariance
11Results
12Prevalence of Health Problems
13Prevalence of Insufficient Income used as a
proxy of Poverty
14Concurrent Effects of Poverty
1 Adjusted for childs sex and birth rank, type
of family, and mothers age and education 2
Adjusted for childs sex, use of daycare center,
and mothers education and immigration status
p lt .05 p lt .01
15 Lagged Effects of Poverty
1 Adjusted for childs sex and birth rank, type
of family, and mothers age and education
current poverty status 2 Adjusted for childs
sex, use of daycare center, and mothers
education and immigration status current poverty
status
16Cumulative Effects of Poverty
1 Adjusted for childs sex and birth rank, type
of family, and mothers age and education 2
Adjusted for childs sex, use of daycare center,
and mothers education and immigration status
plt0.5
17Summary
18Conclusion (1)
- Our results support the hypotheses that
- Exposure to poverty may result in health problems
at a later time - Poverty recorded at the previous measurement
occasion is associated with current health
outcomes - Accumulation of poverty insults may result in
greater risk of health problems among young
children - Association between greater number of periods
spent living in poverty greater number of
asthma attacks
19Conclusion (2)
- Timing duration of poverty matter for child
physical health - Further investigation warranted
- With continuous indicator of poverty or material
deprivation (?) - For the effect of income instability (social
mobility)
20Acknowledgements
- The study was funded by the Canadian Institutes
of Health Research Grant 200309MOP-123079 and
Grant 200609MOP-165867 - The Institut de la Statistique du Québec,
Direction Santé Québec who was responsible for
the data collection and validation. - Lise Gauvin holds a Canadian Institute for
Health Research / Centre de Recherche en
Prevention de lObésité Applied Public Health
Chair in Neighborhoods, Lifestyle, and Healthy
Body Weight. - The GRIS and the CRCHUM receive infrastructure
funding from the Fonds de la recherche en santé
du Québec (FRSQ) - The Léa-Roback Research Center is funded through
a Research Center development initiative by the
Canadian Institutes of Health Research.