Document de travail

Macronutrient balances and body mass index: a new insight using compositional data analysis with a total at various quantile orders

Ty Beal, Tuyen Le Danh, Duy Son Nguyen, Michel Simioni, Christine Thomas-Agnan et Thi-Huong Trinh

Résumé

Vietnam launched the national Expanded Program on Immunization in 1981. Since then, this program has contributed signi cantly to the improvement of child health and to the reduction of child mortality rate. Despite of the fact that the coverage of the national EPI keeps expanding, the number of children who complied with the recommended immunization schedule remains low. This article studies the progress of the timeliness childhood immunization compliance among children between 0-5 years of age in Vietnam from 2006 to 2014 and analyzes the socio-economic factors that account for the changes of the compliance rate during this period. The dataset is extracted from the Multiple Indicator Cluster Survey in 2006 and 2014. We rst identify the socio-economic factors that impact on the vaccination compliance rate using a logistic regression model. Next, we apply the decomposition method to determine the contribution of each factor on the evolution of the timeliness childhood immunization compliance. The progress of the timeliness childhood immunization has been positive and the major contribution comes from the structure e ect (unmeasured e ect). Rural areas show a stronger improvement as of 2014. Among the socio-economic factors, mother education and birth order are the ones that have the larger in uence on the childhood immunization compliance rate. However, these factors have di erent implications in urban and rural areas. These ndings are critical to the current context of Vietnam where the government is designing a strategy focusing on the e ectiveness rather than the traditional coverage indicator.

Mots-clés

Vaccination; timeliness childhood immunisation compliance; decomposition; logistic model; MICS data; Vietnam;

Codes JEL

  • C02: Mathematical Methods
  • C31: Cross-Sectional Models • Spatial Models • Treatment Effect Models • Quantile Regressions • Social Interaction Models
  • C51: Model Construction and Estimation
  • I18: Government Policy • Regulation • Public Health
  • I38: Government Policy • Provision and Effects of Welfare Programs
  • Q18: Agricultural Policy • Food Policy

Référence

Ty Beal, Tuyen Le Danh, Duy Son Nguyen, Michel Simioni, Christine Thomas-Agnan et Thi-Huong Trinh, « Macronutrient balances and body mass index: a new insight using compositional data analysis with a total at various quantile orders », TSE Working Paper, n° 18-921, mai 2018.

Voir aussi

Publié dans

TSE Working Paper, n° 18-921, mai 2018