Faktor-faktor Yang Mempengaruhi Anemia Pada Remaja

Anemia in Indonesia is a public health problem. The prevalence still have a tendency to increase. The main antecedent factor for anemia is the lack of iron intake. The purpose of this analysis is to learn and find other factors besides iron. Sources of data were from the study of morbidity and disability of the Household Health Survey, 2001. The respondents were adolescents between 10-19 years of age. Data on social economic status, illness records, medicine consumption, physical activities and smoking habits were collected by interview during household visits. Data on anemia were identified from the results of hemoglobin determination by HemoCue. The nutrition status was found from the calculation of Body Mass Index. Data on energy consumption were taken from food expenditure for meal data from SUSENAS. Variable used for the purpose of this analysis were age, gender, smoking habit, alcohol drinking, breakfast, the use of time for physical activities, IMT, hemoglobin value and energy consumption. Data analyse were conducted in 3 stages,i.e., univariate, bivariate and multivariate analyse. Overall, the prevalence of anemia among adolescents was found to be 25.5%; 21% for adolescent boys and 30% for adolescent girls. Around 27.1% adolescents reside in the village and 22.6% in the city. Adolescents who consume > 70% energy from being suggested were around 38% respondents. Seventeen percent was classified as thinny adolescent based on IMT indicator. The result on bivariate analyse showed that respondents who were less educated have a significant relation (p < 0.05) with getting anemia (OR=3.8; 95% CI=1.9-7.2). Male adolescents have lower risk to get anemia (OR=0.6; 95% CI 0.5-7.3). Other variables that showed significant relation with anemia were smoking (OR 1.35; 95% CI 1-1.8), breakfast habit (OR 0.6 ;95% CI 0.4-0.9) and sufficient energy consumption (OR 0.7; 95% CI 0.6-0.9). Result of multiple regression logistic test indicate that variables related with anemia were education, gender, age, living region, breakfast habit, illness complain and light weight body condition in percent correct classification 75%. Anemia among adolescents was influenced by education, gender, age, living region, breakfast habits, illness complain and light weight body condition