Cost of Illness in Young Children: A Prospective Birth Cohort Study

Sarah Kristine Nørgaard1, Nadja Hawwa Vissing1, Bo Lund Chawes1

  • 1Copenhagen Prospective Studies on Asthma in Childhood (COPSAC), Herlev and Gentofte Hospital, University of Copenhagen, 2820 Gentofte, Denmark.

Insights

Childhood illnesses cost families thousands, but prenatal fish oil and longer gestation reduce expenses. Targeting perinatal factors like birth weight and delivery method can lower the economic burden of pediatric health issues.

Area of Science:

  • Pediatric Health Economics
  • Environmental Epidemiology
  • Perinatal Medicine

Background:

  • Childhood illnesses represent a significant societal economic burden.
  • Quantifying this burden and identifying modifiable risk factors is crucial for public health initiatives.

Purpose of the Study:

  • To determine the economic impact of childhood illness in the first three years of life.
  • To investigate the influence of environmental risk factors on these costs.

Main Methods:

  • Utilized the Copenhagen Prospective Studies on Asthma in Childhood (COPSAC2010) cohort of 700 mother-child pairs.
  • Analyzed direct (healthcare utilization) and indirect (lost earnings) costs using Danish National Health Registries.
  • Employed linear regression on log-transformed costs to assess environmental determinants.

Main Results:

  • The median total cost of illness from birth to age three was EUR 14,061.
  • Fish-oil supplementation during pregnancy, increased gestational age, and higher birth weight were associated with reduced costs.
  • Cesarean delivery was linked to significantly higher costs.

Conclusions:

  • Childhood illnesses incur substantial health-related costs.
  • Targeting perinatal factors such as maternal diet, delivery mode, gestational age, and birth weight may mitigate these economic burdens.

Related Concept Videos

Factors Affecting Illness01:18

Factors Affecting Illness

When a person's physical, emotional, intellectual, social development or spiritual functioning is compromised, this deviation from a healthy normal state is called illness. Illness creates stress that in turn harms individuals. Irritation, anger, denial, hopelessness, and fear are behavioral and emotional changes an individual experiences in the phases of illness. A variety of factors influence a person's health and well-being.
For instance, risk factors are connected to illness,...
4.8K
Prevalence and Incidence01:08

Prevalence and Incidence

In statistical epidemiology and health sciences, two essential metrics—prevalence and incidence—are fundamental for understanding disease dynamics within a population. These measures enable public health officials, epidemiologists, and researchers to assess the burden of diseases, allocate resources effectively, and design impactful public health policies and interventions.
Prevalence indicates the proportion of individuals in a population who have a specific disease or health...
1.1K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
968
Drug Dosing: Infants and Children01:29

Drug Dosing: Infants and Children

Pediatric patient dosages diverge from adults due to disparities in body surface area, total body water, and extracellular fluid per kilogram of body weight. The dosing regimen considers the variations in pharmacokinetics and pharmacology across distinct age groups, encompassing preterm newborns, infants, young children, older children, and adolescents. Calculation of pediatric patient doses is predicated on determining body surface area, which exhibits a superior correlation with the child's...
100
Study Designs in Epidemiology01:20

Study Designs in Epidemiology

Epidemiological study designs are fundamental tools for investigating the distribution, determinants, and control of health conditions in populations. They help researchers understand the relationships between exposures and outcomes, and they broadly fall into two categories: "observational" and "experimental" studies.
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and...
614
Confounding in Epidemiological Studies01:27

Confounding in Epidemiological Studies

Confounding in statistical epidemiology represents a pivotal challenge, referring to the distortion in the perceived relationship between an exposure and an outcome due to the presence of a third variable, known as a confounder. This variable is associated with both the exposure and the outcome but is not a direct link in their causal chain. Its presence can lead to erroneous interpretations of the exposure's effect, either exaggerating or underestimating the true association. This...
367