Anthropometry as Indicator of the Family Economic Condition

Lely Wahyuniar (1) , Bambang Sutrisna (2) , Abas B. Djauhari (3) , Ratna Djuwita (4)
(1) Sekolah Tinggi Ilmu Kesehatan (STIKKES) Kuningan, Jawa Barat, Indonesia,
(2) Departemen Epidemiologi Fakultas Kesehatan Masyarakat Universitas Indonesia, Indonesia,
(3) Pusat Kajian Gizi Kementerian Kesehatan RI,
(4) Departemen Epidemiologi Fakultas Kesehatan Masyarakat Universitas Indonesia, Indonesia

Abstract

The prevalence of Indonesian population experiencing hunger reaches 20.1%.
Anthropometry is considered capable to measure socio-economic conditions
because it is directly related to the financial purchasing power of food that affects
intake patterns. The aim of this study is to test the reliability of the family
anthropometry using Height for Age Z Score (HAZ) index and Body Mass Index Z
Score (BMIZ) as indicator of the family economic condition. This cross-sectional
study design located in Astanajapura (Rural) and Kesambi (Urban) Subdistrict,
Cirebon, West Java. The stratification sampling method was held to obtain
samples from all main family members of the selected households (1,999
persons) from 405 families. Data analysis used ROC method to obtain the cut-off
points of anthropometry index, validity test for sensitivity and specificity, and
Kappa test for the reliability test. The findings indicate that the family HAZ
anthropometry index could represent the family economic condition better than
the BMIZ and it is reliable to become an indicator for the economic condition both
in rural and urban areas. There is a positive correlation between consumption per
capita and the HAZ index where the higher the family HAZ z score is, the higher
the family consumption per capita. The method can be used to measure the poor
prevalence in macro level and select the target of poor families in the micro level
using the family HAZ anthropometry index. It is recommended to use HAZ index
to estimate prevalence of poor families within the micro level, but the process
must not include children under two years old due to the technical obstacle
during measurement and other substance factors. Further research is needed to
produce a more accurate method in using the family anthropometry as an
indicator of family economic condition.

References

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Authors

Lely Wahyuniar
myrandaputri@gmail.com (Primary Contact)
Bambang Sutrisna
Abas B. Djauhari
Ratna Djuwita
Author Biographies

Lely Wahyuniar, Sekolah Tinggi Ilmu Kesehatan (STIKKES) Kuningan, Jawa Barat

Sekolah Tinggi Ilmu Kesehatan (STIKKES) Kuningan, Jawa Barat

Bambang Sutrisna, Departemen Epidemiologi Fakultas Kesehatan Masyarakat Universitas Indonesia

Departemen Epidemiologi
Fakultas Kesehatan Masyarakat Universitas Indonesia

Ratna Djuwita, Departemen Epidemiologi Fakultas Kesehatan Masyarakat Universitas Indonesia

Departemen Epidemiologi
Fakultas Kesehatan Masyarakat Universitas Indonesia
Wahyuniar, L., Sutrisna, B., Djauhari, A. B., & Djuwita, R. (2020). Anthropometry as Indicator of the Family Economic Condition. Media Kesehatan Masyarakat Indonesia, 16(4), 477–489. https://doi.org/10.30597/mkmi.v16i4.11025

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