Comparison of Growth in Children 6 to 59 Months of Age According to Birth Order: Insights From the National Family Health Survey-4 India

2020 ◽  
Author(s):  
Ananta Ghimire ◽  
Aravind Dharmaraj

Abstract Background Undernutrition continues to be a major public health problem throughout the world. The present study aimed to understand the prevalence and determinants of undernutrition in India and determine what extent it differs by birth order, other child level, maternal and socioeconomic factors.MethodsThis study used information from a total weighted sample of 128859 mothers from India National Family Health Survey 4. Univariate and Multivariate logistic regression were used to investigate the association between undernutrition with birth order, other child level, maternal and socio-economic factors. Three models were constructed for the study, model 1 as univariate, model 2 adjusting with birth order and socioeconomic predictors and model 3 adjusting with all the predictors included in the study. Results The prevalence of stunting, underweight and wasting were 37.9, 34.0 and 20.7 respectively. The mean age of children was 2.4 years (standard deviation 1.3) of which majority were second order birth (33.6%), males (54.5%), anemic (58.9%) and normal birth weight (87.2%). All three models showed that higher birth order was a strong predictor of a child being stunted and underweight after adjusting for potential confounders. Children with lower wealth quintiles, anemia, male, low birth weight and vaginal delivery had higher odds of being stunted, wasted and underweight in model-3 adjusted analysis.Conclusion The findings from this study provide an important interaction between birth order and child undernutrition status in India. However, further longitudinal studies are required to establish such cause-effect relationship between birth order and undernutrition.

Author(s):  
Aravind Dharmaraj ◽  
Ananta Ghimire ◽  
Saravanan Chinnaiyan ◽  
Amrendra Kumar Tiwari ◽  
Rajendra Kumar Barik

Introduction: Undernutrition continues to be a major public health problem throughout the world. Higher birth order of the child contributes to higher chance of being undernutrition. But, the relationship between birth order and undernutrition has not been fully studied and understood, especially in India where the fertility rate was high. Aim: To understand the prevalence and determinants of undernutrition using National Family Health Survey-4 (NFHS-4) India. Materials and Methods: A national cross-sectional survey was conducted during January 2015 to December 2016. This study used information from a total weighted sample of 128859 children from India NFHS-4. Univariate and multivariate binary logistic regression were used to investigate the association of undernutrition with birth order, other child, maternal and socio-economic factors. Three models were constructed for the study, model 1 as univariate, model 2 adjusting with birth order and socio-economic predictors and model 3 adjusting with all the predictors included in the study. Results: Of the 128859 children, median Inter Quartile Range (IQR) age was 26 (16-41) months with female/male ratio was 1:1.2. The prevalence of stunting, underweight and wasting was 37.93% (95% Confidence Interval (CI) 37.67-38.20), 34.02% (95% CI 33.76-34.28) and 20.70% (95% CI 20.48-20.92), respectively. Model-1, 2 and 3 showed that the child's higher birth order was found to have higher odds of being stunted and underweight compared with first born children. Children with lower wealth quintiles, male, vaginal delivery had higher odds of being stunted, wasted and underweight in the model-3 adjusted analysis. Conclusion: This study indicates that higher birth order was a significant predictor of a child being stunted and underweight, as it is significant in all three models. However, further longitudinal studies are required to establish a cause-effect relationship between birth order and undernutrition and future interventions to prevent undernutrition should consider birth order as an important factor.


2020 ◽  
Vol 12 ◽  
pp. 100700
Author(s):  
Ajit Kumar Kannaujiya ◽  
Kaushalendra Kumar ◽  
Ashish Kumar Upadhyay ◽  
Lotus McDougal ◽  
Anita Raj ◽  
...  

2020 ◽  
pp. 1-11
Author(s):  
Santosh Kumar Sharma ◽  
Mir Azad Kalam ◽  
Saswata Ghosh ◽  
Subho Roy

Abstract The aim of the present study was to estimate the prevalence and examine the determinants of consanguineous marriage types in India. Data for 456,646 ever-married women aged 15–49 years were analysed from the National Family Health Survey (NFHS)-4 conducted in 2015–16. The overall prevalence of consanguineous marriage was 9.9%; the South region (23%) and North-East region (3.1%) showed the highest and lowest prevalences, respectively. Muslims had a higher prevalence (15%) than Hindus (9%). The prevalence of first cousin marriage (8.7%) was more than that of second cousin (0.7%) and of uncle–niece marriages (0.6%). Women living in urban areas and in nuclear families, having a higher level of education and belonging to affluent families were less likely to marry their cousins (p < 0.01). Women living in the South region of the country were more likely to marry their cousins, as well as uncles (p < 0.001). Close scrutiny of the trends in the results (odds ratios) revealed no clear relationship between socioeconomic condition and consanguineous marriage. The study results suggest that religion and north–south regional dichotomy in culture largely determine consanguineous marriage rather than socioeconomic condition in India.


2021 ◽  
Vol 9 ◽  
pp. 360-366
Author(s):  
Nutan Kumari ◽  
Kisan Algur ◽  
Praveen Kailash Chokhandre ◽  
Pradeep S. Salve

PLoS ONE ◽  
2020 ◽  
Vol 15 (12) ◽  
pp. e0244562
Author(s):  
Ankita Zaveri ◽  
Pintu Paul ◽  
Jay Saha ◽  
Bikash Barman ◽  
Pradip Chouhan

Objective Low birth weight (LBW) is a serious public health problem in low- and middle-income countries and a leading cause of death in the first month of life. In India, about 18% of children are born with LBW (<2500 grams) in 2015–16. In this study, we aim to examine the influence of maternal factors and socio-demographic covariates on LBW in Indian children. Methods Data were drawn from the fourth round of the National Family Health Survey (NFHS-4), conducted in 2015–16. A cross-sectional study was designed using a stratified two-stage sampling technique. Cross-tabulation, Pearson’s chi-squared test, and multivariate logistic regression analyses were employed to assess the impact of maternal factors and other covariates on children’s LBW. Results Of total participants (n = 147,762), 17.5% of children were found to be born with LBW. The study revealed that women who had prior experience of stillbirth (Adjusted odds ratio [AOR]: 1.20, 95% CI: 1.04–1.38) and any sign of pregnancy complications (AOR: 1.08, 95% CI: 1.05–1.11) were more likely to have LBW children, even after adjusting for a range of covariates. Maternal food diversity was found to a protective factor against children’s LBW. Women with underweight and anemic condition were associated with an increased likelihood of LBW children. Regarding maternity care, women who attended ≥4 ANC visits (AOR: 0.84, 95% CI: 0.80–0.88), took iron tablets/syrup during pregnancy (AOR: 0.94, 95% CI: 0.90–0.98), and delivered in a public health facility (AOR: 0.84, 95% CI: 0.79–0.88) were less likely to have LBW babies. Besides, various socio-demographic factors such as place of residence, caste, religion, education, wealth quintile, and geographical region were significantly associated with LBW of children. Conclusion Interventions are needed for adequate ANC utilization, improvement in public facility-based delivery, providing iron supplementation, and uptake of balanced energy-protein diet among pregnant mothers. Besides, special attention should be given to the socio-economically disadvantaged women to address adverse pregnancy and birth outcomes including LBW.


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