Open AccessHousehold Food Insecurity is a Predictor of Acute Malnutrition but Not Chronic Malnutrition among Children (6-59 Months Old): A Cross-Sectional in Tamale South Constituency
Author(s) -
Sufyan Bakuri Suara,
Shamsu-Deen Ziblim,
Salifu Abukari,
Nathaniel Ntim Sarpong,
Herrick Bapula Sulemani
Publication year - 2022
Publication title -
south asian research journal of medical sciences
Language(s) - English
Resource type - Journals
eISSN - 2664-6722
pISSN - 2664-3987
DOI - 10.36346/sarjms.2022.v04i02.002
Subject(s) - malnutrition , wasting , anthropometry , cross sectional study , odds , environmental health , medicine , logistic regression , odds ratio , demography , pediatrics , pathology , sociology , endocrinology
Background: The influence of household food insecurity on poor child growth has been widely studied. However, there is a lack of clarity in such relationships therefore, more studies are required. Hence, the present study evaluated household food insecurity and sciodemographic determinants of undernutrition in young children (6-59 months old) in Ghana. Materials and methods: This cross-sectional study was conducted in Tamale South using 240 mother-child pairs. Mothers and their children (6-59 months old) were recruited from child welfare clinics within the Constituency. Data were collected from face-to-face interviews using a structured questionnaire. Child anthropometric data were measured (weight and height/length) based on World Health Organization’s prescribed procedures. Child anthropometric Z-scores for the determination of acute and chronic malnutrition were generated using WHO Anthroplus 1.0.4. Household food insecurity access scale (HFIAS) was used to estimate household food insecurity. Binary logistics regression models were run using Statistical Product and Service Solutions version 24.0 to estimate the odds of acute and chronic malnutrition following the independent variables (HFIAS and sciodemographic factors). Results: The prevalence of acute malnutrition (wasting) was 7.5%. Also, the prevalence of chronic malnutrition (stunting) was 29.2%. In multiple binary logistics regressions model, there was a significant relationship between higher scores of HFIAS and the odds of acute malnutrition [1.34(1.07-1.68); P=0.010]. In the study, children aged 6-23 months had lower odds for chronic malnutrition [0.36 (1.20-0.66); P=0.001] compared with their colleagues (24-59 months old). Conclusions: In the study, we found a medium and a high prevalence of acute and chronic malnutrition, respectively. Also, HFIAS was a significant predictor of acute malnutrition but not chronic malnutrition. Further, children less than 24 months old compared with those aged 24-59 months old had lower odds for chronic malnutrition. To reduce the odds for acute malnutrition, nutrition and health authorities in the Tamale South Constituency ought to intensify education on strategies to increase household food security status.