Scoring Model Using Stunting Cards for Toddlers
Heni Puji Wahyuningsih, Yuni Kusmiyati, Furaida Khasanah
1419
ABSTRACT
Background: The problem of short
children or stunting is one of the nutritional problem encountered in the
world, especially in poor and developing countries. Stunting can provide
long-term and short-term impacts. Early stunting detection requiring detailed
assessment of various aspects needs to be packaged in a simple, accurate and
inexpensive method. Until now no model that can help in the simple stunting
screening. For this, a stunting models with Stunting prediction cards can be
one of the methods that can be used as an assistive device to detect stunting. Aim: To develop and evaluate scoring
models with stunting predictive cards
Method: This research is
quantitative research with diagnostic test design and using consecutive
sampling. The Total samples in this study were 179 case groups and 178 control
groups. The Instrument used in this study is a stunting scoring card and a
stunting cause questionnaire. Data analysis used in the processing of
questionnaires is a Chi square analysis and a regression analysis of logistic
with an accuracy rate of 95%. As for testing the scorers using fit modelling
and ROC test with sensitivity and spasticity view.
Result: Based on the results
of logistic regression analysis, it is known that the most dominant factor in
stunting is gender, birth weight, maternal knowledge, diet, and the history of
maternal anemia. The result of the ROC test are known that the area under the
curve is 0816, with 100% sensitivity and 98.9% specificity. This indicates that
the scoring model in the predictive card is accurate and good in detecting
stunting.
Conclusion: This study shows that
there is a meaningful link between factors causing stunting to stunting events,
and it can be known that the predictive card scoring model is accurate and can
be used to detect stunting early.
Keywords: Relationships, stunting, scoring
ABSTRACT
Background: The problem of short
children or stunting is one of the nutritional problem encountered in the
world, especially in poor and developing countries. Stunting can provide
long-term and short-term impacts. Early stunting detection requiring detailed
assessment of various aspects needs to be packaged in a simple, accurate and
inexpensive method. Until now no model that can help in the simple stunting
screening. For this, a stunting models with Stunting prediction cards can be
one of the methods that can be used as an assistive device to detect stunting. Aim: To develop and evaluate scoring
models with stunting predictive cards
Method: This research is
quantitative research with diagnostic test design and using consecutive
sampling. The Total samples in this study were 179 case groups and 178 control
groups. The Instrument used in this study is a stunting scoring card and a
stunting cause questionnaire. Data analysis used in the processing of
questionnaires is a Chi square analysis and a regression analysis of logistic
with an accuracy rate of 95%. As for testing the scorers using fit modelling
and ROC test with sensitivity and spasticity view.
Result: Based on the results
of logistic regression analysis, it is known that the most dominant factor in
stunting is gender, birth weight, maternal knowledge, diet, and the history of
maternal anemia. The result of the ROC test are known that the area under the
curve is 0816, with 100% sensitivity and 98.9% specificity. This indicates that
the scoring model in the predictive card is accurate and good in detecting
stunting.
Conclusion: This study shows that
there is a meaningful link between factors causing stunting to stunting events,
and it can be known that the predictive card scoring model is accurate and can
be used to detect stunting early.