Angraini Model as Effort to Early Detection Chronic Energy Deficiency in Pregnancy

This study aims to develop the Angraini Model, as an effort to early detection of chronic energy deficiency in pregnancy. This research is a quantitative study with a case-control design on 190 CED and non-CED pregnant women in the city of Bandar Lampung. The research was conducted from October 2018 to July 2021. The data used in this study are 18 indicators and 7 latent variables. Latent variables consist of socioeconomic (education, employment, income, knowledge), culture (age, parity, food taboo), BMI (prepregnancy BMI), laboratory (anemia, iron status, protein status), food intake (energy, protein, fat carbohydrates, iron), weight gain during pregnancy (pregnancy weight gain) and CED (chronic energy deficiency). Data were analyzed using a structural equation model (SEM) with Lisrel software and then built into a web-based expert system. The results of the SEM analysis stated that food intake, laboratory values, and weight gain during pregnancy had a direct effect on the incidence of CED. socioeconomic variables (knowledge, education, employment, and income), culture (age, parity, and food taboo) and prepregnancy BMI have an indirect effect on the incidence of CED through food intake variables. The model obtained based on SEM analysis is then built in a web-based expert system with the address modelangraini.com. The Angraini model is a web-based expert system that can be used to detect early CED in pregnant women for health workers in primary healthcare facilities.