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

被引:2
|
作者
Topothai, Thitikorn [1 ,2 ,3 ]
Suphanchaimat, Rapeepong [1 ,4 ]
Topothai, Chompoonut [1 ,3 ,5 ]
Tangcharoensathien, Viroj [1 ]
Cetthakrikul, Nisachol [1 ]
Waleewong, Orratai [1 ]
机构
[1] Minist Publ Hlth, Int Hlth Policy Program, Nonthaburi 11000, Thailand
[2] Minist Publ Hlth, Div Phys Act & Hlth, Dept Hlth, Nonthaburi 11000, Thailand
[3] Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore 117549, Singapore
[4] Minist Publ Hlth, Div Epidemiol, Dept Dis Control, Nonthaburi 11000, Thailand
[5] Minist Publ Hlth, Dept Hlth, Bur Hlth Promot, Nonthaburi 11000, Thailand
关键词
child; parents; play; growth and development; cognitive skills; Thailand; MICS; PLAY; INCOME; TIME; INTERVENTION; EDUCATION; PROGRAM;
D O I
10.3390/ijerph19137599
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:12
相关论文
共 50 条
  • [21] Early feeding practices and associated factors in Sudan: a cross-sectional analysis from multiple Indicator cluster survey
    Manar E. Abdel-Rahman
    Asmaa El-Heneidy
    Lenka Benova
    Laura Oakley
    [J]. International Breastfeeding Journal, 15
  • [22] Early feeding practices and associated factors in Sudan: a cross-sectional analysis from multiple Indicator cluster survey
    Abdel-Rahman, Manar E.
    El-Heneidy, Asmaa
    Benova, Lenka
    Oakley, Laura
    [J]. INTERNATIONAL BREASTFEEDING JOURNAL, 2020, 15 (01)
  • [23] Determinants of child maltreatment in Nepal: Results from the 2014 Nepal multiple indicator cluster survey (the 2014 NMICS)
    Atteraya, Madhu Sudhan
    Ebrahim, Nasser B.
    Gnawali, Shreejana
    [J]. CHILD ABUSE & NEGLECT, 2018, 76 : 400 - 407
  • [24] Predictors of wealth-related inequality in institutional delivery: a decomposition analysis using Nepal multiple Indicator cluster survey (MICS) 2019
    Bhusal, Umesh Prasad
    [J]. BMC PUBLIC HEALTH, 2021, 21 (01)
  • [25] Factors associated with health facility delivery among reproductive age women in Nepal: an analysis of Nepal multiple indicator cluster survey 2019
    Naba Raj Thapa
    Shanti Prasad Upreti
    [J]. BMC Health Services Research, 22
  • [26] Factors associated with health facility delivery among reproductive age women in Nepal: an analysis of Nepal multiple indicator cluster survey 2019
    Thapa, Naba Raj
    Upreti, Shanti Prasad
    [J]. BMC HEALTH SERVICES RESEARCH, 2022, 22 (01)
  • [27] Understanding coverage of antenatal care in Palestine: Cross-sectional analysis of Palestinian Multiple Indicator Cluster Survey, 2019-2020
    Horino, Masako
    Massad, Salwa
    Ahmed, Saifuddin
    Abu Khalid, Khalid
    Abed, Yehia
    Pepito, Veincent Christian
    Pepito, Veincent Christian
    Pepito, Veincent Christian
    Pepito, Veincent Christian
    [J]. PLOS ONE, 2024, 19 (02):
  • [28] Predictors of wealth-related inequality in institutional delivery: a decomposition analysis using Nepal multiple Indicator cluster survey (MICS) 2019
    Umesh Prasad Bhusal
    [J]. BMC Public Health, 21
  • [29] Topological Data Analysis and UNICEF Multiple Indicator Cluster Surveys
    Jun Ru Anderson
    Fahrudin Memić
    Ismar Volić
    [J]. Journal of Quantitative Economics, 2022, 20 : 281 - 309
  • [30] Topological Data Analysis and UNICEF Multiple Indicator Cluster Surveys
    Anderson, Jun Ru
    Memic, Fahrudin
    Volic, Ismar
    [J]. JOURNAL OF QUANTITATIVE ECONOMICS, 2022, 20 (02) : 281 - 309