Stochastic mediation contrasts in epidemiologic research: interpregnancy interval and the educational disparity in preterm delivery.

Low maternal education is consistently associated with increased risk of preterm delivery (PTD). The interpregnancy interval (IPI), defined as the time between the date of a previous birth and the conception date of the index pregnancy, may mediate this relationship. We estimated controlled direct effects to assess whether hypothetical interventions designed to increase IPIs would reduce the educational disparity in PTD. We introduce a technique for estimating controlled direct effects under interventions that set only some persons in the population to a specific mediator value. We used data from 847,618 singleton livebirths occurring in Quebec, Canada, between 1989 and 2010. Compared with mothers with some university education (≥14 years), mothers with less than high school (<11 years), high school (11 years), and some college (12-13 years) had excess PTD risks of 2.6% (95% confidence interval (CI): 2.4, 2.8), 1.5% (95% CI: 1.4, 1.7), and 1.0% (95% CI: 0.9, 1.1), respectively. Risk differences under an intervention corresponding to the Healthy People 2020 objective of reducing the number of mothers with IPIs less than 18 months by 3% were no different from those for the total relationship. Our results suggest that interventions designed to increase the length of short IPIs will yield no important change in the PTD disparity by maternal educational level.

[1]  Robert Tibshirani,et al.  An Introduction to the Bootstrap , 1994 .

[2]  P. Kissinger,et al.  The Association Between Short Interpregnancy Interval and Preterm Birth in Louisiana: A Comparison of Methods , 2013, Maternal and Child Health Journal.

[3]  M. Kramer,et al.  Socio-economic disparities in pregnancy outcome: why do the poor fare so poorly? , 2000, Paediatric and perinatal epidemiology.

[4]  M. Gissler,et al.  Socio-economic inequality in preterm birth: a comparative study of the Nordic countries from 1981 to 2000. , 2009, Paediatric and perinatal epidemiology.

[5]  W. Callaghan,et al.  The Contribution of Preterm Birth to Infant Mortality Rates in the United States , 2006, Pediatrics.

[6]  S. Cole,et al.  Illustrating bias due to conditioning on a collider. , 2010, International journal of epidemiology.

[7]  P. Braveman,et al.  Socioeconomic disparities in adverse birth outcomes: a systematic review. , 2010, American journal of preventive medicine.

[8]  S. Vansteelandt Estimation of Direct and Indirect Effects , 2012 .

[9]  David H Rehkopf,et al.  Invited commentary: Off-roading with social epidemiology--exploration, causation, translation. , 2013, American journal of epidemiology.

[10]  P. J. Huber The behavior of maximum likelihood estimates under nonstandard conditions , 1967 .

[11]  H. White A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity , 1980 .

[12]  Per Kragh Andersen,et al.  Socioeconomic position and the risk of preterm birth--a study within the Danish National Birth Cohort. , 2008, International journal of epidemiology.

[13]  R. Tibshirani,et al.  An introduction to the bootstrap , 1993 .

[14]  J. Kaufman,et al.  A flexible Bayesian hierarchical model of preterm birth risk among US Hispanic subgroups in relation to maternal nativity and education , 2011, BMC medical research methodology.

[15]  M. Sjöström,et al.  Large social disparities in spontaneous preterm birth rates in transitional Russia. , 2005, Public health.

[16]  Patricia B. Reagan,et al.  Race and ethnic differences in determinants of preterm birth in the USA: broadening the social context. , 2005, Social science & medicine.

[17]  M. Hernán,et al.  Causal Effects and Natural Laws: Towards a Conceptualization of Causal Counterfactuals for Nonmanipulable Exposures, with Application to the Effects of Race and Sex , 2012 .

[18]  E. Strumpf,et al.  Commentary: Social Epidemiology Questionable Answers and Answerable Questions , 2012, Epidemiology.

[19]  R. Pampalon,et al.  A deprivation index for health planning in Canada. , 2009, Chronic diseases in Canada.

[20]  Mark van der Laan,et al.  Population Intervention Causal Effects Based on Stochastic Interventions , 2012, Biometrics.

[21]  M. Robins James,et al.  Estimation of the causal effects of time-varying exposures , 2008 .

[22]  Mark J. van der Laan,et al.  tmle : An R Package for Targeted Maximum Likelihood Estimation , 2012 .

[23]  K. Joseph,et al.  Socioeconomic status and perinatal outcomes in a setting with universal access to essential health care services , 2007, Canadian Medical Association Journal.

[24]  Tyler J. VanderWeele,et al.  Conceptual issues concerning mediation, interventions and composition , 2009 .

[25]  Bruce G. Link,et al.  Social conditions as fundamental causes of disease. , 1995, Journal of health and social behavior.

[26]  J. Robins Estimation of the time-dependent accelerated failure time model in the presence of confounding factors , 1992 .

[27]  I. Kawachi Isn't all epidemiology social? , 2013, American journal of epidemiology.

[28]  Timothy L Lash,et al.  Semi-Automated Sensitivity Analysis to Assess Systematic Errors in Observational Data , 2003, Epidemiology.

[29]  A. Philip Dawid,et al.  Causality : statistical perspectives and applications , 2012 .

[30]  Bruce G. Link,et al.  Six paths for the future of social epidemiology. , 2013, American journal of epidemiology.

[31]  P. Heagerty,et al.  Potential Confounding by Exposure History and Prior Outcomes: An Example From Perinatal Epidemiology , 2007, Epidemiology.

[32]  Uwe Siebert,et al.  Effects of multiple interventions , 2004 .

[33]  Bruce G. Link,et al.  Social Conditions as Fundamental Causes of Health Inequalities: Theory, Evidence, and Policy Implications , 2010, Journal of health and social behavior.

[34]  Sandro Galea,et al.  An argument for a consequentialist epidemiology. , 2013, American journal of epidemiology.

[35]  David R. Williams,et al.  Measuring social class in US public health research: concepts, methodologies, and guidelines. , 1997, Annual review of public health.

[36]  Michael R. Kramer,et al.  Racial disparities in preterm birth rates and short inter‐pregnancy interval: an overview , 2011, Acta obstetricia et gynecologica Scandinavica.

[37]  Tyler J. VanderWeele,et al.  Concerning the consistency assumption in causal inference. , 2009, Epidemiology.

[38]  J. Kaufman,et al.  Poverty, education, race, and pregnancy outcome. , 2004, Ethnicity & disease.

[39]  Russell Wilkins,et al.  Effect of neighbourhood income and maternal education on birth outcomes: a population-based study , 2006, Canadian Medical Association Journal.

[40]  Long-Term Medical and Social Consequences of Preterm Birth , 2009 .

[41]  J. Stockman The Contribution of Preterm Birth to Infant Mortality Rates in the United States , 2008 .

[42]  E. Moodie,et al.  Semiparametric Adjusted Exposure-Response Curves , 2014, Epidemiology.

[43]  C. Muntaner Invited commentary: On the future of social epidemiology--a case for scientific realism. , 2013, American journal of epidemiology.

[44]  Tyler J. VanderWeele,et al.  Marginal Structural Models for the Estimation of Direct and Indirect Effects , 2009, Epidemiology.

[45]  S. Greenland,et al.  Epidemiologic measures and policy formulation: lessons from potential outcomes , 2005, Emerging themes in epidemiology.

[46]  Alan D. Lopez,et al.  Comparative quantification of health risks. Global and regional burden of disease attributable to selected major risk factors. Volume 1. , 2004 .

[47]  Bruce G. Link,et al.  Galea and Link respond to "Pathologies of social epidemiology," "Social epidemiology and scientific realism," and "Off-roading with social epidemiology". , 2013, American journal of epidemiology.

[48]  Els Goetghebeur,et al.  Estimation of controlled direct effects , 2008 .

[49]  R. Cooper,et al.  Seeking causal explanations in social epidemiology. , 1999, American journal of epidemiology.

[50]  P. Darney,et al.  Postpartum Contraception in Publicly-Funded Programs and Interpregnancy Intervals , 2013, Obstetrics and gynecology.

[51]  S. Harper,et al.  Increasing educational inequality in preterm birth in Québec, Canada, 1981–2006 , 2010, Journal of Epidemiology & Community Health.

[52]  J Michael Oakes,et al.  Invited commentary: Paths and pathologies of social epidemiology. , 2013, American journal of epidemiology.

[53]  D. Westreich From exposures to population interventions: pregnancy and response to HIV therapy. , 2014, American journal of epidemiology.

[54]  A. Hansen,et al.  Contribution of maternal age to preterm birth rates in Denmark and Quebec, 1981-2008. , 2013, American journal of public health.

[55]  J. Parker,et al.  Associations between measures of socioeconomic status and low birth weight, small for gestational age, and premature delivery in the United States. , 1994, Annals of epidemiology.

[56]  J. Stockman Birth Spacing and Risk of Adverse Perinatal Outcomes: A Meta-analysis , 2007 .

[57]  O. Basso,et al.  Choice and chance: Determinants of short interpregnancy intervals in Denmark , 2001, Acta obstetricia et gynecologica Scandinavica.

[58]  Judea Pearl,et al.  Direct and Indirect Effects , 2001, UAI.

[59]  Bianca L. De Stavola,et al.  Gformula: Estimating Causal Effects in the Presence of Time-Varying Confounding or Mediation using the G-Computation Formula , 2011 .