TY - JOUR
T1 - Inequalities in anemia among Peruvian children aged 6-59 months
T2 - A decomposition analysis
AU - Al-Kassab-Córdova, Ali
AU - Mendez-Guerra, Carolina
AU - Robles-Valcarcel, Pamela
AU - Iberico-Bellomo, Luis
AU - Alva, Kenedy
AU - Herrera-Añazco, Percy
AU - Benites-Zapata, Vicente A.
N1 - Copyright © 2023 Al-kassab-Córdova, Mendez-Guerra, Robles-Valcarcel, Iberico-Bellomo, Alva, Herrera-Añazco and Benites-Zapata.
PY - 2023
Y1 - 2023
N2 - Objective: To quantify the inequalities of anemia in Peruvian children aged 6-59 months and uncover its contributing factors. Materials and methods: We conducted a cross-sectional study based on the secondary data analysis of the 2021 Peruvian Demographic and Health Survey (DHS). Our sample included Peruvian children aged 6-59 months with complete data for the variables of interest. Anemia was defined as having a hemoglobin level of less than 11 g/dL, adjusted by altitude. Erreygers Concentration Index (ECI) and concentration curves were computed to estimate the socio-economic inequality in anemia among Peruvian children. Moreover, ECI was decomposed to figure out the contributing factors to the inequality of anemia and the residual variation. Results: Nationwide, the prevalence of anemia in Peruvian children was 29.47%. We found a pro-poor inequality regarding anemia at the national level (ECI = -0.1848). The determinants included in the model explained 81.85% of the overall socio-economic inequality in anemia. The largest contribution to inequality was from household- and community-related factors. Having a higher mother's education level (26.26%) and being from the highlands (24.91%) were the major significant contributors to the overall health inequality. Conclusion: Almost one-third of Peruvian children have anemia. A pro-poor inequality of anemia in Peruvian children was found. Public policies ought to address the major contributing factors of anemia inequality.
AB - Objective: To quantify the inequalities of anemia in Peruvian children aged 6-59 months and uncover its contributing factors. Materials and methods: We conducted a cross-sectional study based on the secondary data analysis of the 2021 Peruvian Demographic and Health Survey (DHS). Our sample included Peruvian children aged 6-59 months with complete data for the variables of interest. Anemia was defined as having a hemoglobin level of less than 11 g/dL, adjusted by altitude. Erreygers Concentration Index (ECI) and concentration curves were computed to estimate the socio-economic inequality in anemia among Peruvian children. Moreover, ECI was decomposed to figure out the contributing factors to the inequality of anemia and the residual variation. Results: Nationwide, the prevalence of anemia in Peruvian children was 29.47%. We found a pro-poor inequality regarding anemia at the national level (ECI = -0.1848). The determinants included in the model explained 81.85% of the overall socio-economic inequality in anemia. The largest contribution to inequality was from household- and community-related factors. Having a higher mother's education level (26.26%) and being from the highlands (24.91%) were the major significant contributors to the overall health inequality. Conclusion: Almost one-third of Peruvian children have anemia. A pro-poor inequality of anemia in Peruvian children was found. Public policies ought to address the major contributing factors of anemia inequality.
KW - Anemia
KW - Children
KW - demographic and health survey
KW - Healthcare inequalities
KW - Peru
KW - Anemia
KW - Niños
KW - Encuesta demográfica y de salud
KW - Desigualdades en salud
KW - Perú
UR - http://www.scopus.com/inward/record.url?scp=85152634837&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/9ffc6de5-0b66-32ea-946c-d83fff9ce89b/
U2 - 10.3389/fpubh.2023.1068083
DO - 10.3389/fpubh.2023.1068083
M3 - Article in a journal
C2 - 37064707
AN - SCOPUS:85152634837
SN - 2296-2565
VL - 11
JO - Frontiers in Public Health
JF - Frontiers in Public Health
M1 - 1068083
ER -