The birth weight "paradox" uncovered?

American Journal of Epidemiology

Volumn 164, Issue 11, 2006, Pages 1115-1120

  Hernández Díaz, Sonia ^a,b   Schisterman, Enrique F ^c   Hernán, Miguel A ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b BOSTON UNIVERSITY   (United States)

^c EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH AND HUMAN DEVELOPMENT   (United States)

Author keywords

Birth weight; Confounding factors (epidemiology); Infant mortality; Infant, low birth weight; Smoking

Indexed keywords

HEALTH RISK; INFANT MORTALITY; RISK FACTOR; SMOKING; WEIGHT;

ARTICLE; BIRTH WEIGHT; CONFIDENCE INTERVAL; CONTROLLED STUDY; FEMALE; HUMAN; INFANT; LOW BIRTH WEIGHT; MAJOR CLINICAL STUDY; MALE; MORTALITY; NEWBORN; PRENATAL CARE; SMOKING; THEORETICAL STUDY; UNITED STATES;

CAUSALITY; CONFOUNDING FACTORS (EPIDEMIOLOGY); FEMALE; HUMANS; INFANT MORTALITY; INFANT, LOW BIRTH WEIGHT; INFANT, NEWBORN; PREVALENCE; RISK ASSESSMENT; RISK FACTORS; SMOKING; UNITED STATES;

NORTH AMERICA; UNITED STATES;

EID: 33845196474     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwj275     Document Type: Article

References (24)

1. Wilcox A. On the importance - and the unimportance - of birthweight. Int J Epidemiol 2001;30:1233-41.
2. Wilcox AJ. Birth weight and perinatal mortality: the effect of maternal smoking. Am J Epidemiol 1993;137:1098-104.
3. Buekens P, Wilcox A. Why do small twins have a lower mortality rate than small singletons? Am J Obstet Gynecol 1993;168:937-41.
4. Ananth CV, Smulian JC, Vintzileos AM. The effect of placenta previa on neonatal mortality: a population-based study in the United States, 1989 through 1997. Am J Obstet Gynecol 2003;188:1299-304.
5. Wilcox A, Russell I. Why small black infants have lower mortality than small white infants: the case for population-specific standards for birth weight. J Pediatr 1990;116:7-10.
6. Yerushalmy J. The relationship of parents' cigarette smoking to outcome of pregnancy - implications as to the problem of inferring causation from observed associations. Am J Epidemiol 1971;93:443-56.
7. Wilcox AJ, Russell IT. Perinatal mortality: standardizing for birthweight is biased. Am J Epidemiol 1983;118:857-64.
8. Robins JM, Greenland S. Identifiability and exchangeability for direct and indirect effects. Epidemiology 1992;3:143-55.
9. Cole SR, Hernán MA. Fallibility in estimating direct effects. Int J Epidemiol 2002;31:163-5.
10. Hernán MA, Hernández-Díaz S, Robins JM. A structural approach to selection bias. Epidemiology 2004;15:615-25.
11. MacDorman M, Atkinson J. Infant mortality statistics from the linked birth/infant death data set - 1995 period data. Month Vital Stat Rep 1998;46(suppl 2):1-220.
12. Platt RW, Joseph KS, Ananth CV, et al. A proportional hazards model with time-dependent covariates and time-varying effects for analysis of fetal and infant death. Am J Epidemiol 2004;160:199-206.
13. Hernán MA, Schisterman EF, Hernández-Díaz S, et al. Prenatal exposures, gestational age, birth weight and neonatal mortality: an application of causal diagrams. (Abstract). In: Proceedings of the 17th Annual Meeting of the Society for Pediatric and Perinatal Epidemiologic Research, Salt Lake City, Utah, June 2004. Ann Arbor, MI: Society for Pediatric and Perinatal Epidemiologic Research, 2004:38.
14. Hernán MA, Hernández-Díaz S, Werler MM, et al. Causal knowledge as a prerequisite for confounding evaluation: an application to birth defects epidemiology. Am J Epidemiol 2002;155:176-84.
15. Pearl J. Causal diagrams for empirical research. Biometrika 1995;82:669-710.
16. Spirtes P, Glymour C, Scheines R. Causation, prediction, and search. (Lecture notes in statistics 81). New York, NY: Springer-Verlag New York, Inc, 1993.
17. Greenland S, Pearl J, Robins JM. Causal diagrams for epidemiologic research. Epidemiology 1999;10:37-48.
18. Robins JM. Data, design, and background knowledge in etiologic inference. Epidemiology 2001;12:313-20.
19. MacMahon B, Alpert M, Salber EJ. Infant weight and parental smoking habits. Am J Epidemiol 1965;82:247-61.
20. Binkin N, Rust K, Williams R. Racial differences in neonatal mortality. What causes of death explain the gap? Am J Dis Child 1988;142:432-40.
21. Hertz-Picciotto I. Is it time to abandon adjustment for birth weight in studies of infant mortality? Paediatr Perinat Epidemiol 2003;17:114-16.
22. Robins JM. Causal inference from complex longitudinal data. In: Berkane M, ed. Latent variable modeling and applications to causality. (Lecture notes in statistics 120). New York, NY: Springer-Verlag New York, Inc, 1997:69-117.
23. Robins JM, Hernán MA, Brumback B. Marginal structural models and causal inference in epidemiology. Epidemiology 2000;11:550-60.
24. Klebanoff MA, Schoendorf KC. Invited commentary: what's so bad about curves crossing anyway? Am J Epidemiol 2004;160:211-12.