PMID- 31707998
OWN - NLM
STAT- MEDLINE
DCOM- 20210305
LR  - 20210305
IS  - 1469-7599 (Electronic)
IS  - 0021-9320 (Linking)
VI  - 52
IP  - 5
DP  - 2020 Sep
TI  - Linkage in stunting status of siblings: a new perspective on childhood 
      undernutrition in India.
PG  - 681-695
LID - 10.1017/S0021932019000725 [doi]
AB  - Almost 30% of the world's stunted children reside in India. This study examined 
      sibling linkage in childhood stunting by assessing the extent of clustering of 
      stunted children born to the same mother. Data were taken from 225,002 children 
      under the age of five from the Indian National Family and Health Survey (NFHS)-4 
      conducted in 2015-16. States with high fertility and lower socioeconomic 
      development displayed higher clustering of childhood stunting among siblings. 
      Simulating removal of this clustered burden showed an almost 10 percentage point 
      reduction in stunting in India. Multinomial regression analysis highlighted that 
      the propensity to have multiple stunted births was higher among less-educated 
      women, scheduled caste/tribes and poor households. The multilevel model results 
      indicated that the odds of stunting for the index child increased by 1.93 if the 
      older sibling was stunted. The odds of the index child being stunted if the 
      previous child was stunted were high, irrespective of the differences in 
      state-level public health performances and political commitments. Although 
      socioeconomic correlates play a crucial role in determining child stunting 
      status, they also act as proxies for poor-quality intra-generational health. 
      Clustering of stunting among siblings is an indicator of both genetic and 
      environmental association with the height-for-age (HAZ) of children. Mothers with 
      repeated stunted births should be prioritized and monitored over a substantial 
      part of their lives. Inclusion of multiple child beneficiaries in nutrition 
      policies and revisiting the 'one size fits all' concept at the micro level, owing 
      to the substantial village/ward-level variation, might be an effective policy 
      measure.
FAU - Banerjee, Kajori
AU  - Banerjee K
AUID- ORCID: 0000-0001-5708-2869
AD  - Department of Mathematical Demography and Statistics, International Institute for 
      Population Sciences (IIPS), Mumbai, India.
FAU - Dwivedi, Laxmi Kant
AU  - Dwivedi LK
AD  - Department of Mathematical Demography and Statistics, International Institute for 
      Population Sciences (IIPS), Mumbai, India.
LA  - eng
PT  - Journal Article
DEP - 20191111
PL  - England
TA  - J Biosoc Sci
JT  - Journal of biosocial science
JID - 0177346
SB  - IM
MH  - Child
MH  - Child, Preschool
MH  - Cluster Analysis
MH  - Family Characteristics
MH  - Family Health
MH  - Female
MH  - *Growth Disorders
MH  - Humans
MH  - India/epidemiology
MH  - Infant
MH  - Male
MH  - *Malnutrition
MH  - Mothers
MH  - Multilevel Analysis
MH  - Regression Analysis
MH  - Risk Factors
MH  - *Siblings
OTO - NOTNLM
OT  - Child growth
OT  - Family influences
OT  - Stunting
EDAT- 2019/11/12 06:00
MHDA- 2021/03/06 06:00
CRDT- 2019/11/12 06:00
PHST- 2019/11/12 06:00 [pubmed]
PHST- 2021/03/06 06:00 [medline]
PHST- 2019/11/12 06:00 [entrez]
AID - S0021932019000725 [pii]
AID - 10.1017/S0021932019000725 [doi]
PST - ppublish
SO  - J Biosoc Sci. 2020 Sep;52(5):681-695. doi: 10.1017/S0021932019000725. Epub 2019 
      Nov 11.