PMID- 36361267
OWN - NLM
STAT- MEDLINE
DCOM- 20221114
LR  - 20240229
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 19
IP  - 21
DP  - 2022 Nov 3
TI  - Infant Death Clustering in the Quarter of a Century in India: A Decomposition 
      Analysis.
LID - 10.3390/ijerph192114384 [doi]
LID - 14384
AB  - The study aims to examine the clustering of infant deaths in India and the 
      relative contribution of infant death clustering after accounting for the 
      socio-economic and biodemographic factors that explain the decline in infant 
      deaths. The study utilized 10 years of birth history data from three rounds of 
      the National Family Health Survey (NFHS). The random effects dynamic probit model 
      was used to decompose the decline in infant deaths into the contributions by the 
      socio-economic and demographic factors, including the lagged independent 
      variable, the previous infant death measuring the clustering of infant deaths in 
      families. The study found that there has been a decline in the clustering of 
      infant deaths among families during the past two and half decades. The simulation 
      result shows that if the clustering of infant deaths in families in India was 
      completely removed, there would be a decline of nearly 30 percent in the infant 
      mortality rate (IMR). A decomposition analysis based on the dynamic probit model 
      shows that for NFHS-1 and NFHS-3, in the total change of the probability of 
      infant deaths, the rate of change for a given population composition contributed 
      around 45 percent, and about 44 percent was explained by a compositional shift. 
      Between NFHS-3 and NFHS-4, the rate of change for a given population composition 
      contributed 86%, and the population composition for a given rate contributed 10% 
      to the total change in the probability of infant deaths. Within this rate, the 
      contribution of a previous infant was 0.8% and the mother's age was 10%; nearly 
      31% was contributed by the region of residence, 69% by the mother's education, 
      and around 20% was contributed by the wealth index and around 8.7% by the sex of 
      the child. The mother's unobserved factors contributed more than 50 percent to 
      the variability of infant deaths in all the survey rounds and was also 
      statistically significant (p < 0.01). Bivariate analysis suggests that women with 
      two or more infant losses were much less likely to have full immunization (10%) 
      than women with no infant loss (62%), although institutional delivery was high 
      among both groups of women.
FAU - Ranjan, Mukesh
AU  - Ranjan M
AUID- ORCID: 0000-0002-5369-8081
AD  - Department of Statistics, Mizoram University, Pachhunga University College 
      Campus, Aizawl 796001, Mizoram, India.
FAU - Dwivedi, Laxmi Kant
AU  - Dwivedi LK
AD  - Department of Survey Research & Data Analytics, International Institute for 
      Population Sciences, Govandi Station Road, Deonar 400088, Mumbai, India.
FAU - Halli, Shivalingappa
AU  - Halli S
AD  - Department of Community Health Sciences, Institute for Global Public Health, Rady 
      Faculty of Health Sciences, University of Manitoba, Winnipeg, MB R3E 0T6, Canada.
LA  - eng
PT  - Journal Article
DEP - 20221103
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Female
MH  - Humans
MH  - Cluster Analysis
MH  - Educational Status
MH  - India/epidemiology
MH  - *Infant Death
MH  - *Infant Mortality
MH  - Socioeconomic Factors
MH  - Infant, Newborn
MH  - Maternal Age
MH  - Mothers/statistics & numerical data
PMC - PMC9653878
OTO - NOTNLM
OT  - decomposition analysis
OT  - infant death clustering
OT  - infant mortality rate
OT  - national family health survey
OT  - random effects dynamic probit model
COIS- The authors declare no conflict of interest.
EDAT- 2022/11/12 06:00
MHDA- 2022/11/15 06:00
PMCR- 2022/11/03
CRDT- 2022/11/11 01:21
PHST- 2022/09/27 00:00 [received]
PHST- 2022/10/24 00:00 [revised]
PHST- 2022/10/31 00:00 [accepted]
PHST- 2022/11/11 01:21 [entrez]
PHST- 2022/11/12 06:00 [pubmed]
PHST- 2022/11/15 06:00 [medline]
PHST- 2022/11/03 00:00 [pmc-release]
AID - ijerph192114384 [pii]
AID - ijerph-19-14384 [pii]
AID - 10.3390/ijerph192114384 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2022 Nov 3;19(21):14384. doi: 
      10.3390/ijerph192114384.