Pre-COVID era pediatric disease incidence in Kazakhstan: regional panel data analysis of multiple disease groups

Nurlan Smagulov1, Olzhas Zhamantayev2, Aidar Aitkulov3

  • 1Research Park of Biotechnology and Eco-Monitoring, Karaganda Buketov University, Karaganda, Kazakhstan.

PubMed

Insights

Childhood respiratory diseases and asthma in Kazakhstan are linked to socioeconomic factors like population density and unemployment. Asthma incidence rose significantly, highlighting regional disparities and the need for targeted health policies.

Area of Science:

  • Pediatric Health
  • Public Health
  • Epidemiology

Background:

  • Existing research on child morbidity in Kazakhstan often overlooks non-communicable diseases, focusing instead on mortality and infectious conditions.
  • This study addresses the gap by investigating socioeconomic, demographic, and healthcare determinants of respiratory diseases, asthma, and nervous system disorders in children aged 0-14 years.
  • The research emphasizes the importance of regional context in understanding pediatric non-communicable disease patterns in Kazakhstan.

Purpose of the Study:

  • To examine the associations between socioeconomic, demographic, and healthcare factors and the incidence of respiratory diseases, asthma, and nervous system disorders in children (0-14 years) in Kazakhstan.
  • To identify region-specific patterns and predictors of pediatric non-communicable diseases.
  • To provide evidence for localized policy interventions to address child morbidity.

Main Methods:

  • Analysis of panel data from 14 regions of Kazakhstan spanning 2010-2019.
  • Application of linear mixed models with autoregressive covariance to account for regional and temporal heterogeneity.
  • Modeling of log-transformed incidence rates for respiratory diseases (J00-J99), asthma (J45), and nervous system diseases (G00-G99) against predictors including GRP per capita, unemployment, population density, Gini coefficient, pediatrician density, and hospital resources, while managing multicollinearity.

Main Results:

  • Respiratory diseases exhibited the highest mean incidence, with significant regional variations; Pavlodar and North Kazakhstan showed substantially higher rates compared to Zhambyl.
  • Increased population density correlated with decreased respiratory disease incidence, while unemployment was associated with a rise. Asthma incidence surged by 140% over the decade, linked to income inequality.
  • Unemployment was the sole significant predictor for nervous system disorders. While most diseases declined, neoplasms, diabetes, and asthma showed significant increases.

Conclusions:

  • Pediatric respiratory diseases and asthma in Kazakhstan are significantly associated with regional economic conditions, healthcare access, and socioeconomic inequality.
  • Population density and income inequality emerged as consistent predictors for these conditions, underscoring their public health relevance.
  • The study highlights distinct regional patterns in pediatric morbidity, emphasizing the need for tailored, localized socioeconomic and healthcare strategies to mitigate disease burden.
Abstract

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