Association of relative age with medical consultations for developmental concerns: A nationwide birth cohort study in

Yasutaka Kuniyoshi1

  • 1Department of Social Services and Healthcare Management, International University of Health and Welfare, Otawara, Tochigi 324-8501, Japan.

Brain & Development
|July 3, 2026
PubMed

Insights

Children born in younger months of the academic year had more medical consultations for developmental concerns. This suggests relative age influences seeking care, especially for boys.

Area of Science:

  • Pediatrics
  • Developmental Psychology
  • Public Health

Background:

  • Relative age effect linked to ADHD diagnosis rates in younger children.
  • Unclear if relative age impacts early medical consultations for developmental concerns before diagnosis.

Purpose of the Study:

  • Investigate the association between relative age and medical consultations for developmental/behavioral concerns.
  • Examine if birth month within the academic year influences seeking care for these issues.

Main Methods:

  • Analysis of the Longitudinal Survey of Newborns in the 21st Century (Japan).
  • Comparison of January-born (younger) vs. July-born (older) children (ages 7-12).
  • Primary outcome: caregiver-reported medical consultations; Secondary: caregiver-reported restlessness.

Main Results:

  • Higher medical consultation rates for January-born (6.0%) vs. July-born (5.2%) children.
  • Association significant mainly in boys (aRR=1.19).
  • January-born children more likely reported as 'restless' at age 9 (aRR=1.14).

Conclusions:

  • Being born in younger academic year months associated with increased medical consultations for developmental concerns.
  • Relative age may influence seeking medical advice for developmental issues.
  • Clinicians should consider relative age in developmental evaluations.
Abstract

Related Concept Videos

Longitudinal Research02:20

Longitudinal Research

Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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 condition at a...
Introduction to Developmental Psychology01:27

Introduction to Developmental Psychology

Developmental psychology explores the changes and continuities in human abilities throughout life, encompassing physical, cognitive, linguistic, and social dimensions. Human development is not restricted to growth, but includes aspects of decline, particularly in physical abilities as individuals age. Developmental psychologists seek to understand how people change as they age and how their mental and social skills evolve.Developmental MilestonesA key concept in developmental psychology is...
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:
Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
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, disability,...