ABSTRACT
BACKGROUND: Appropriate infant and young child feeding (IYCF) practices in the early years of life will ensure optimal growth and development of the child. However, many children are not fed in the recommended way. OBJECTIVES: To assess the risk of malnutrition as a result of various feeding practice patterns among the children with the application of the decision tree algorithm. METHODS: It was a community-based cross-sectional study conducted in the urban slums of Berhampur Municipal Corporation in Ganjam District, Odisha, India, from January to December 2019. Among a sample of 360 children of 6-23 months, nutritional status and feeding practices were determined. Data were analyzed using R version 3.6.1 developed by R Foundation for Statistical Computing, Vienna, Austria. The effect of IYCF practices on nutritional status was explained with the decision tree method with the use of a Chi-squared automatic interaction detection algorithm. RESULTS: The prevalence of children with early initiation of breastfeeding (EIBF), exclusive breastfeeding (EBF), minimum meal frequency (MMF), and minimum dietary diversity (MDD) was 62.2%, 59.7%, 41.9%, and 19.4%, respectively. The prevalence of wasting, stunting, and underweight among the participants was 36.4%, 31.1%, and 35.3%, respectively. The significant factors which classified and predicted wasting were EBF, EIBF, and MDD, for stunting factors were EBF, MMF, and MDD and for underweight, significant factors were EBF, EIBF, and MDD. CONCLUSION: With the decision tree approach, the probability of malnutrition in relation to various feeding practices patterns can be easily explained to the mothers and health workers as compared to interpreting odds ratio and strict adherence to IYCF guidelines can also be ensured.
Subject(s)
Nutritional Status , Poverty Areas , Breast Feeding , Child , Child, Preschool , Cross-Sectional Studies , Decision Trees , Feeding Behavior , Female , Humans , India/epidemiology , Infant , Infant Nutritional Physiological Phenomena , MothersABSTRACT
BACKGROUND: Hemoglobin disorders are the leading health concern in the world including India. There is a paucity of literature on the spectrum of hemoglobin disorders in southern districts of Odisha state. This study was undertaken to elucidate the occurrence of different hemoglobin disorders in a tertiary health care facility of Odisha state, India. METHODS: The study cases were suspected patients of all age groups advised for screening of different hemoglobin disorders. Hemoglobin disorders were screened by sickling slide test and high-performance liquid chromatography (HPLC) using the Variant-II hemoglobin testing system as per the manufacturer's guidelines. RESULTS: Over 2 years, 2332 blood samples (including 1102 pediatric and 1230 adult cases) were investigated, out of which, 1380 (59.2%) of cases had abnormal hemoglobin disorders. The most common was sickle cell disorders (48.67%, 1135/2332) followed by ß-thalassemia (11.32%, 264/2332). Some rare variants were detected as hemoglobin D-Punjab, hemoglobin E, hemoglobin Lepore, hereditary persistence of fetal hemoglobin, hemoglobin with high P2 window, hemoglobin with high P3 window etc, Among the cases with abnormal hemoglobin disorders, 744 (53.9%), 545 (39.5%) and, 91 (6.6%) cases were found to have the heterozygous, homozygous and, double heterozygous state. Of the 188 ante-natal cases screened, 31.4% of cases had abnormal hemoglobin variants with sickle cell disorders being the most prevalent one. CONCLUSION: Along with the high occurrence of sickle cell disorders in the study area, some other rare hemoglobin disorders are also prevalent which calls for a large community-based cohort study.
ABSTRACT
A nationwide lockdown was imposed from March 25, 2020, to curb the spread of the COVID-19 pandemic. The study aimed to analyze the trend, pattern of animal bite cases and to quantify the reduction in the incidence of animal bite cases due to diminution of exposure time with animals as a result of lockdown. The interrupted time series method was used to evaluate the effect of lockdown on the incidence of animal bite cases. Right after the lockdown, the mean number of reported animal bite cases decreased significantly (P = 0.04) by 8.3%. Furthermore, the month-to-month change of cases for the postlockdown period was in decreasing trend (ß3 = 0.872) and was significant (P < 0.05). Reduction in the exposure time with street animal surely reduce the incidence in animal bite cases and hence, the Government should take appropriate actions to control the intermixing of street dogs with marginal populations at the village and urban slums level.
