title: Using penalized splines to model age- and season-of-birth-dependent effects of childhood mortality risk factors in rural Burkina Faso.
abstract: Several previous studies have identified risk factors for childhood mortality in high risk areas, such as Sub-Saharan Africa. Among these are lifestyle factors related for example to nutrition or sanitation. Other factors are related to social class, ethnicity and poverty in general. Few studies have investigated a dependence of these factors by age and season of birth which is the focus in this study. We perform a survival analysis of 9121 children born between 1998 and 2001 in a rural area of western Burkina Faso. The whole population is under demographic surveillance since 1993. All cause mortality is used as the endpoint and follow-up information until the age of five years is available. Recently developed spline regression methods are used for the analysis. Ethnic group, religion, age of mother, twin status, sex, and distance to next health center are used as covariates all of which having a clear effect on survival in standard Cox regression analysis. With penalized spline regression, a more detailed risk pattern is observed. Ethnicity is more related to death at early age, as well as age of mother. The effect of the risk factors considered also appear to be related with season of birth.
authors.affiliation: Department of Tropical Hygiene and Public Health, University of Heidelberg, Germany.
authors.forename: Heiko
authors.initials: H
authors.lastname: Becher
authors.forename: Göran
authors.initials: G
authors.lastname: Kauermann
authors.forename: Pavel
authors.initials: P
authors.lastname: Khomski
authors.forename: Bocar
authors.initials: B
authors.lastname: Kouyaté
mesh_terms: D000465:Algorithms; D002050:Burkina Faso / Q000453:epidemiology; D002648:Child; D046688:Child Mortality / Q000639:trends*; D002675:Child, Preschool; D005260:Female; D006801:Humans; D015994:Incidence; D007223:Infant; D007226:Infant Mortality / Q000639:trends*; D007231:Infant, Newborn; D008297:Male; D016016:Proportional Hazards Models; D018570:Risk Assessment / Q000379:methods*; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data*; D012621:Seasons; D016019:Survival Analysis; D015996:Survival Rate