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Thailand Achievement of SDG Indicator 4.2.1 on Early Child Development: An Analysis of the 2019 Multiple Indicator Cluster Survey

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  • Thitikorn Topothai

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand
    Division of Physical Activity and Health, Department of Health, Ministry of Public Health, Nonthaburi 11000, Thailand
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore)

  • Rapeepong Suphanchaimat

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand
    Division of Epidemiology, Department of Disease Control, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Chompoonut Topothai

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand
    Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
    Bureau of Health Promotion, Department of Health, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Viroj Tangcharoensathien

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Nisachol Cetthakrikul

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand)

  • Orratai Waleewong

    (International Health Policy Program, Ministry of Public Health, Nonthaburi 11000, Thailand)

Abstract

The early years of a child’s life are the foundation for their future capability development. Poor health, hunger, poverty, low parental education, lack of parental interaction, high screen time, and poor housing environment hamper their development. There is little evidence of a link between early child development (ECD) and sociodemographic factors in Thailand. In response to monitoring the achievement of SDG target 4.2.1 (the proportion of young children who are developmentally on track in health, learning and psychosocial well-being) as required by all UN Member States, this study analyses the prevalence of appropriate levels of ECD and its correlates of Thai children aged 3 to 4 years. A cross-sectional study of the 6th Multiple Indicator Cluster Survey (MICS) data in 2019 conducted by the National Statistical Office was employed. Face-to-face interviews with mothers and/or legal guardians were conducted. A total of 5787 children aged 3 to 4 were enrolled in this study. The majority of participants, approximately 92.3%, had achieved an appropriate level of ECD index, defined as children who were developmentally on track in at least three out of these four domains: cognitive, physical, social, and learning. Multivariate logistic regression showed that girls had a higher appropriate development index than boys (Adjusted Odds Ratio [AOR] = 1.56, 95% Confidence Interval [95% CI] 1.28–1.90; children living in the 5th wealth quintile had a higher appropriate index than those in a less well-off family the first wealth quintile (AOR = 2.92, 95% CI: 1.86–4.58. Univariate logistic regression showed children living with parents achieving post-secondary education had a significantly greater appropriate index than children living with parents completing secondary education or below (Crude OR = 1.95, 95% CI 1.47–2.58); children who had appropriate parental interactions of more than four out of six interactions, had a significantly higher chance of having an appropriate index than less than four interactions (Crude OR = 1.52, 95% CI 1.14–2.04). Multi-sectoral policies to support child development in low socio-economic households should be strengthened. In addition, family and community should promote parental interactions through reading and playing with young children. Future studies which directly measure ECD in conjunction with regular monitoring through MICS are recommended.

Suggested Citation

  • Thitikorn Topothai & Rapeepong Suphanchaimat & Chompoonut Topothai & Viroj Tangcharoensathien & Nisachol Cetthakrikul & Orratai Waleewong, 2022. "Thailand Achievement of SDG Indicator 4.2.1 on Early Child Development: An Analysis of the 2019 Multiple Indicator Cluster Survey," IJERPH, MDPI, vol. 19(13), pages 1-12, June.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:13:p:7599-:d:844338
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    References listed on IDEAS

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    1. Perkins, Jessica M. & Kim, Rockli & Krishna, Aditi & McGovern, Mark & Aguayo, Victor M. & Subramanian, S.V., 2017. "Understanding the association between stunting and child development in low- and middle-income countries: Next steps for research and intervention," Social Science & Medicine, Elsevier, vol. 193(C), pages 101-109.
    2. Thitikorn Topothai & Rapeepong Suphanchaimat & Chompoonut Topothai & Viroj Tangcharoensathien & Nisachol Cetthakrikul & Orratai Waleewong, 2022. "Self-Reported Parental Interactions through Play with Young Children in Thailand: An Analysis of the 2019 Multiple Indicator Cluster Survey (MICS)," IJERPH, MDPI, vol. 19(6), pages 1-12, March.
    3. Kelly Johnston, 2021. "Engagement and Immersion in Digital Play: Supporting Young Children’s Digital Wellbeing," IJERPH, MDPI, vol. 18(19), pages 1-13, September.
    4. Ariel Kalil & Patrick Wightman, 2011. "Parental Job Loss and Children's Educational Attainment in Black and White Middle‐Class Families," Social Science Quarterly, Southwestern Social Science Association, vol. 92(1), pages 57-78, March.
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