The application of probability method to estimate micronutrient deficiencies prevalence of Indonesian adults
Abstract: The objective of
this study was to analyze micronutrient deficiencies (Ca, Fe, Zn, Vitamin A and
C) of Indonesian adults using probability method (PBM) and cut-off point method
(CPM). This research was conducted by analyzing secondary data from Total Diet
Study of the Ministry of Health of Indonesia, obtained from 24-h food recall
method. The subjects were 58, 014 adults aged 19-49 years. The nutrient
requirement from Institute of Medicine were used as benchmark. Both PBM and CPM
were applied to assess micronutrient deficiencies. The results showed that by
applying PBM, the prevalence of calcium, iron, zinc, vitamin A and C
deficiencies was 54.2%, 36.4%, 74.3%, 44.8% and 71.4% respectively; while the
prevalence of calcium, iron, zinc, vitamin A and C deficiencies using CPM-100
was 63.9%, 42.5%, 80.7%, 55.8% and 81.7% respectively. PBM result showed more
men than women were categorized as suffering from Zn, Vitamin A and C
deficiencies; and more women were categorized as Ca and Fe deficiencies. The
application of CPM-100 tended to result in overestimation compared to PBM. The
nutrient densities of Ca, Fe, Zn, Vitamin A and C were higher in women than in
men (p <0.05). The nutrient densities of Ca, Zn, vitamin A and C were below
the recommended level for both men and women. This implies micronutrient
deficiencies are prevalent among Indonesian adults thus there is a need to
improve the quality of their diet. This can be achieved by increasing the
consumption of protein source foods (fish, meat and legume), fruits and
vegetables as sources of micronutrients.
Keywords: cut-off point
method; micronutrient deficiency; nutrient density; probability method
Author: Teguh Jati Prasetyo, Hardinsyah,
Yayuk Farida Baliwati, Dadang Sukandar
Journal Code: jpkesmasgg180026