Assessment of child psychomotor development in population groups as a positive health indicator

Horacio Lejarraga1, Diana M Kelmansky2,3, María C Passcucci2

  • 1Dirección General de Salud Ambiental (DGSA), Cuenca Matanza Riachuelo (ACUMAR), Ciudad Autónoma de Buenos Aires, Argentina. cursotesis07@gmail.com.

Insights

This study presents a new method for assessing psychomotor development in young children, revealing widespread developmental delays. The findings highlight the need for population-level health indicators to track child development effectively.

Area of Science:

  • Pediatric Health
  • Developmental Psychology
  • Public Health Indicators

Background:

  • Effective health indicators must encompass the entire population, not solely those with existing conditions or mortality.
  • Assessing psychomotor development in children under six is crucial for early intervention and long-term health outcomes.

Purpose of the Study:

  • To introduce a novel method for collecting population-level indicators of psychomotor development in children under six years old.
  • To present the results of this new assessment method.

Main Methods:

  • A cross-sectional study involving 5,465 children assessed for 13 developmental milestones.
  • Logistic and linear regression analyses were used to estimate milestone attainment ages and develop population indicators.
  • Three key indicators were defined: overall developmental quotient, 4-year-old developmental quotient, and developmental trend.

Main Results:

  • Population indicators revealed distinct developmental delays across the surveyed groups.
  • An increasing trend in developmental delay was observed with increasing age.
  • The derived indicators showed a range for overall developmental quotient (0.74-0.85), 4-year-old quotient (0.88-0.81), and developmental trend (-0.15 to -0.26).

Conclusions:

  • The developed indicators are easily interpretable and correlate with social determinants of health, such as unmet basic needs.
  • Data collection is efficient and suitable for population-level assessment, though not for individual diagnosis.
  • This method provides valuable insights into population psychomotor development trends.
Abstract

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