Anemia among Adolescent Girls in West Java, Indonesia: Related Factors and Consequences on the Quality of Life

• Published in: Nutrients Vol. 14; no. 18; p. 3777
• Main Authors: Sari, Puspa, Herawati, Dewi Marhaeni Diah, Dhamayanti, Meita, Hilmanto, Dany
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 13.09.2022; MDPI
• Subjects: Adolescent; adolescent girls; Adolescents; Age; Agricultural production; Analysis; Anemia; Anemia - epidemiology; anthropometric measure; Anthropometry; Arm circumference; Bivariate analysis; Blood; Blood diseases; Body mass; Body mass index; Body measurements; Body size; Child development; Complications and side effects; Cross-Sectional Studies; Data collection; Developing countries; Dietary supplements; Domains; Female; Food; Girls; Health aspects; Hemoglobin; Hemoglobins; Humans; Indonesia - epidemiology; Iron; iron consume; LDCs; Malaria; Menstrual cycle; Menstruation; Nutrition; Pediatric research; Public health; Quality of Life; Questionnaires; Risk factors; Rural areas; Sickle cell anemia; Social aspects; Statistics; Students; Surveys; Teenage girls; Teenagers; Tropical diseases; Vitamins; Womens health; Young Adult; Indonesia; West Java Indonesia; iron consume; quality of life; adolescent girls; menstruation; anemia; anthropometric measure
• ISSN: 2072-6643; 2072-6643
• DOI: 10.3390/nu14183777

Anemia in adolescent girls is still a problem in Indonesia. The impact of anemia is quite significant for adolescent health. This study aims to analyze related factors of anemia among adolescent girls, and the effect of anemia on the quality of life. The study was conducted in the Soreang District, West Java, Indonesia. This cross-sectional study involved 286 female students (15−19 years). A 24-h recall questionnaire was used to collect the nutrient intake. We use the WHOQOL-BREF to analyze the quality of life. The study assessed height, weight, body mass index (BMI), mid-upper arm circumference (MUAC), and a capillary blood sample to determine hemoglobin levels. Bivariate and multiple logistic regression tests were measured to find the factors most influencing anemia. The prevalence of anemia was 14.3%. Related factors of anemia in this study were: duration of blood show per menses, iron consumption, weight, height, and MUAC. From bivariate analyses, anemia influenced the social relationships domain with p < 0.05. Multivariate logistic regression showed that the most influencing factors for anemia were MUAC and duration of blood per menses. Anemia impacted the social relationships domain. In this study, the two main factors that affected anemia were MUAC and duration of blood each menstrual cycle.