Assessing the Intergenerational Linkage between Short Maternal Stature and Under-Five Stunting and Wasting in Bangladesh.
Wajiha KhatunSabrina RasheedNeeloy Ashraful AlamTanvir M HudaMichael John DibleyPublished in: Nutrients (2019)
Short maternal stature is identified as a strong predictor of offspring undernutrition in low and middle-income countries. However, there is limited information to confirm an intergenerational link between maternal and under-five undernutrition in Bangladesh. Therefore, this study aimed to assess the association between short maternal stature and offspring stunting and wasting in Bangladesh. For analysis, this study pooled the data from four rounds of Bangladesh Demographic and Health Surveys (BDHS) 2004, 2007, 2011, and 2014 that included about 28,123 singleton children aged 0-59 months born to mothers aged 15-49 years. Data on sociodemographic factors, birth history, and anthropometry were analyzed using STATA 14.2 to perform a multivariable model using 'Modified Poisson Regression' with step-wise backward elimination procedures. In an adjusted model, every 1 cm increase in maternal height significantly reduced the risk of stunting (relative risks (RR) = 0.960; 95% confidence interval (CI): 0.957, 0.962) and wasting (RR = 0.986; 95% CI: 0.980, 0.992). The children of the short statured mothers (<145 cm) had about two times greater risk of stunting and three times the risk of severe stunting, 1.28 times the risk of wasting, and 1.43 times the risk of severe wasting (RR = 1.43; 95% CI: 1.11, 1.83) than the tall mothers (≥155 cm). These findings confirmed a robust intergenerational linkage between short maternal stature and offspring stunting and wasting in Bangladesh.
Keyphrases
- birth weight
- gestational age
- pregnancy outcomes
- body mass index
- mental health
- public health
- gene expression
- randomized controlled trial
- pregnant women
- growth hormone
- big data
- genome wide
- metabolic syndrome
- clinical trial
- cross sectional
- hepatitis c virus
- risk assessment
- deep learning
- artificial intelligence
- weight loss
- drug induced
- health promotion
- high density
- double blind