PMID- 36742967
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20231031
IS  - 0970-0218 (Print)
IS  - 1998-3581 (Electronic)
IS  - 0970-0218 (Linking)
VI  - 47
IP  - 4
DP  - 2022 Oct-Dec
TI  - Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region 
      of India.
PG  - 571-578
LID - 10.4103/ijcm.ijcm_230_22 [doi]
AB  - BACKGROUND: Percentile curves are often used to assess variances in children's 
      growth pattern. This study is aimed at explaining effect of the respondents' 
      sociodemographic characteristics on under-5 children's birth weight and 
      identifying most suitable models, out of 11 statistical models reviewed, for 
      estimating children's growth in terms of height and weight of a given 
      birth-weight category and obtain estimated growth curves. MATERIAL AND METHODS: 
      The study used National Family Health Survey (NFHS)-4 data from four Eastern 
      States of India, consisting of 54,075 under-5 children. Estimated growth curves 
      were obtained, using best-fit models. RESULTS: Birth weight was found to be 
      associated with children's age, gender, birth order, body mass index, mother's 
      education, living place and wealth index. Two models - Cubic Model and Power 
      Model - showed best fit to the height and weight measurements. We obtained 
      estimated growth curves of boys and girls for a given birth-weight category. 
      CONCLUSIONS: All socio-demographic factors studied, except respondent's 
      occupation, were associated with children's birth weight. Cubic and Power Models 
      were most suitable for assessing growth in terms of height and weight of boys and 
      girls, belonging to a given birth-weight category.
CI  - Copyright: (c) 2022 Indian Journal of Community Medicine.
FAU - Verma, Pradyuman
AU  - Verma P
AD  - Department of Epidemiology and Biostatistics, KLE Academy of Higher Education and 
      Research, Belagavi, Karnataka, India.
FAU - Prasad, Jang Bahadur
AU  - Prasad JB
AD  - Department of Epidemiology and Biostatistics, KLE Academy of Higher Education and 
      Research, Belagavi, Karnataka, India.
LA  - eng
PT  - Journal Article
DEP - 20221214
PL  - India
TA  - Indian J Community Med
JT  - Indian journal of community medicine : official publication of Indian Association 
      of Preventive & Social Medicine
JID - 9315574
PMC - PMC9891046
OTO - NOTNLM
OT  - Anthropometry
OT  - birth weight
OT  - child growth
OT  - statistical models
OT  - under-5 children
COIS- There are no conflicts of interest.
EDAT- 2023/02/07 06:00
MHDA- 2023/02/07 06:01
PMCR- 2022/10/01
CRDT- 2023/02/06 03:48
PHST- 2022/03/11 00:00 [received]
PHST- 2022/05/05 00:00 [accepted]
PHST- 2023/02/06 03:48 [entrez]
PHST- 2023/02/07 06:00 [pubmed]
PHST- 2023/02/07 06:01 [medline]
PHST- 2022/10/01 00:00 [pmc-release]
AID - IJCM-47-571 [pii]
AID - 10.4103/ijcm.ijcm_230_22 [doi]
PST - ppublish
SO  - Indian J Community Med. 2022 Oct-Dec;47(4):571-578. doi: 
      10.4103/ijcm.ijcm_230_22. Epub 2022 Dec 14.