PMID- 27511121
OWN - NLM
STAT- MEDLINE
DCOM- 20170724
LR  - 20171122
IS  - 1469-7599 (Electronic)
IS  - 0021-9320 (Linking)
VI  - 49
IP  - 3
DP  - 2017 May
TI  - SIBLING- AND FAMILY-LEVEL CLUSTERING OF UNDERWEIGHT CHILDREN IN NORTHERN INDIA.
PG  - 348-363
LID - 10.1017/S0021932016000390 [doi]
AB  - Child undernutrition remains a major child health and developmental issue in low- 
      and middle-income countries. The concentration (clustering) of underweight 
      children among siblings at the family level is known to exist in India. This 
      study examined the extent and covariates of clustering of underweight children at 
      the sibling and family level in Uttar Pradesh, the largest state of northern 
      India. Clustering of underweight (low weight-for-age) children was assessed using 
      data on 7533 under-five children from the National Family Health Survey (NFHS) 
      conducted in 2005-06, analysed using binary logistic and binomial regression 
      models. Related bio-demographic, socioeconomic and health care variables were 
      used as covariates in the models. The odds of being underweight for the index 
      child were about two times higher (OR=2.34, p<0.001) if any of the siblings 
      within the household was malnourished or underweight. A longer birth interval 
      increased the odds of a child being underweight. The odds of underweight were 
      significantly lower (OR=0.69, p<0.001) for children born to normal-weight mothers 
      compared with those born to underweight mothers. Similarly, the odds of 
      underweight were significantly lower (OR=0.49, p=0.01) for children born to 
      educated mothers (high school and above) compared with those born to illiterate 
      mothers. The results of the binomial regression model suggested that the 
      deviations between observed and expected number of children were positive (3.09, 
      3.78 and 2.71) for 1, 2 and 2+ underweight children within the households of 
      underweight women, indicating the concentration of underweight children among 
      underweight/malnourished mothers. Underweight children were found to be clustered 
      among underweight mothers with multiple underweight siblings. The findings 
      suggest that policy interventions need to focus on underweight mothers with 
      multiple underweight children.
FAU - Singh, Abhishek
AU  - Singh A
AD  - *National Institute of Technology,Hamirpur,India.
FAU - Arokiasamy, P
AU  - Arokiasamy P
AD  - daggerInternational Institute for Population Sciences,Mumbai,India.
FAU - Pradhan, Jalandhar
AU  - Pradhan J
AD  - double daggerNational Institute of Technology,Rourkela,India.
FAU - Jain, Kshipra
AU  - Jain K
AD  -  section signUniversity of Rajasthan,Jaipur,India.
FAU - Patel, Sangram Kishor
AU  - Patel SK
AD  -  paragraph signPopulation Council,New Delhi,India.
LA  - eng
PT  - Journal Article
DEP - 20160811
PL  - England
TA  - J Biosoc Sci
JT  - Journal of biosocial science
JID - 0177346
SB  - IM
MH  - Adolescent
MH  - Adult
MH  - Birth Intervals/statistics & numerical data
MH  - Birth Order
MH  - Child
MH  - Child Nutrition Disorders
MH  - Child, Preschool
MH  - Cluster Analysis
MH  - Family Health/*statistics & numerical data
MH  - Female
MH  - Health Surveys
MH  - Humans
MH  - India/epidemiology
MH  - Infant
MH  - Male
MH  - Middle Aged
MH  - Mothers
MH  - Nutritional Status
MH  - Regression Analysis
MH  - *Siblings
MH  - Socioeconomic Factors
MH  - *Thinness/epidemiology/etiology
MH  - Young Adult
EDAT- 2016/08/12 06:00
MHDA- 2017/07/25 06:00
CRDT- 2016/08/12 06:00
PHST- 2016/08/12 06:00 [pubmed]
PHST- 2017/07/25 06:00 [medline]
PHST- 2016/08/12 06:00 [entrez]
AID - S0021932016000390 [pii]
AID - 10.1017/S0021932016000390 [doi]
PST - ppublish
SO  - J Biosoc Sci. 2017 May;49(3):348-363. doi: 10.1017/S0021932016000390. Epub 2016 
      Aug 11.