Health problems during childhood and school achievement: Exploring associations between hospitalization exposures, gender, timing, and compulsory school grades

PLoS One. 2018 Dec 5;13(12):e0208116. doi: 10.1371/journal.pone.0208116. eCollection 2018.

Abstract

Aims: To investigate while accounting for health at birth 1) associations between health problems during childhood, measured as hospitalizations, and school achievement in the final year of compulsory school, measured as overall grade points and eligibility for upper secondary education, 2) if and how gender moderates the association between health problems and school achievement, 3) if and how the timing of a health problem during childhood is associated with later school achievement.

Methods: Analyzes were performed on a population-based cohort (n = 115 196) born in 1990 in Sweden (51.3% boys, 48.7% girls) using data from several national registries. Multiple linear regression and logistic regression were used to analyze associations between study variables.

Results: Overall grade points and eligibility for continuation to upper secondary school were lower for individuals exposed to hospitalizations. Only the association between hospitalizations and overall grade points was moderated by gender and only for ages 13-16 years. Exposure close to actual grading had worst outcomes.

Conclusions: Health problems, measured through hospitalizations, was significantly associated with lower school achievements among Swedish children. Girls exposed to health problems requiring hospitalizations had relatively poorer school achievements as compared to boys. Health problems requiring hospitalization during junior high school had the greatest negative association with final achievement at compulsory school.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Academic Success*
  • Adolescent
  • Child
  • Child, Preschool
  • Cohort Studies
  • Female
  • Health Status
  • Hospitalization / statistics & numerical data*
  • Humans
  • Linear Models
  • Logistic Models
  • Male
  • Registries*
  • Schools
  • Sex Factors
  • Students / statistics & numerical data*
  • Sweden
  • Time Factors

Grants and funding

The Umeå SIMSAM Lab data infrastructure used in this study was developed with support from the Swedish Research Council and strategic funds from Umeå University. The research was supported through grants from the Swedish Research Council (Dnr: 2014-1992) and Markus and Marianne Wallenbergs fund (Dnr: 2014.0154).