Wednesday, September 14, 2022, the Faculty of Public Health (FPH) Universitas Indonesia (UI) held an open doctoral promotion session on behalf of Nina Fentiana from the Doctoral Program in Public Health Sciences. The session was chaired by Prof. Dr. dr. Kusharisupeni, M.Sc., and also attended by the Promoter, Dr. Ir. Trini Sudiarti, M.Sc.; Co-promoter, Prof. dr. Endang L. Achadi, M.P.H., Dr.PH., and Dr. Besral, S.K.M., M.Sc.; Dr. Ir. Diah M. Utari, M. Kes.; Prof. Dr. Ir. Hardinsyah, M.S.; Prof. dr. Fasli Jalal, Ph.D., and Dr. drs. Arum Atmawikarta, S.K.M., M.P.H., as the examiner team. Nina Fentiana defended her dissertation entitled “Model of Stunting Risk Prevention Route in Districts/Cities With Stunting Prevalence <20% and ≥20% in Indonesia”.
Nina Fentiana’s dissertation departs from the prevalence of stunting in children 0-23 months in Indonesia based on the 2018 Riskesdas, recorded at 29.9%, which is still relatively high based on WHO criteria. In addition, the prevalence of stunting is still above the global stunting rate and above the stunting average in developing countries. Several provinces were recorded as having a prevalence of stunting above the national prevalence and found large gaps in stunting rates at the district/city level in Indonesia. The high prevalence of stunting in children not only impacts physical growth failure but simultaneously creates a risk for children to grow and develop with sub-optimal levels of intelligence and children who are more susceptible to disease. Therefore, apart from focusing on the risk factors for stunting according to the conceptual theory of the causes of the stunting problem, which is adapted to Indonesian conditions, prevention of stunting must also pay attention to the magnitude of the stunting prevalence rate at the district/city level. Stunting prevention efforts must consider the heterogeneity of risk factors at the district/city level, which can be modified for planning and prevention priorities. So path analysis is important to use to predict the relationship between risk factors and stunting at the district/city level to find an evidence-based prevention model.
This research was conducted using aggregate data analysis at the district/city level. The data source was integrated data from the March 2018 Susenas and 2018 Basic Health Research (Riskesdas) and the 2018 per capita GRDP from the Central Statistics Agency (BPS). Through this research, it was found that the model of stunting risk prevention path at the district/city level shows that stunting in districts/cities with a prevalence of <20% and ≥20% (20%-<30%; 30%-40% and >40%) is caused by many factors as evidenced by the direct and indirect relationship between various risk factors for stunting and the prevalence of stunting. The results showed that the path model for preventing stunting risk at the district/city level, both directly and indirectly, was different in districts/cities with stunting prevalence <20% and ≥20% (20%-<30%; 30%-40% and >40% ). Based on the results of this study, the researchers suggest that districts/cities can play an important role in preventing stunting risk through the policy implications of stunting risk prevention at the district/city level through various modifiable risk factor pathways.
Based on the results of her dissertation, Nina Fentiana successfully graduated with a cum laude predicate with a study period of 24 months and 2 weeks. Nina became the 274th Doctoral graduate in Public Health Sciences and the 354th Doctoral graduate of FPH UI.