Evidence map›Paper›PMID 36742967›Full record

ArticleIndian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine

Growth Prediction of Under-5 Children Using Statistical Models for Eastern Region of India.

Pradyuman Verma, Jang Bahadur Prasad

Abstract read
In one paragraph

Article in Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pradyuman VermaDepartment of Epidemiology and Biostatistics, KLE Academy of Higher Education and Research, Belagavi, Karnataka, India.
Jang Bahadur PrasadDepartment of Epidemiology and Biostatistics, KLE Academy of Higher Education and Research, Belagavi, Karnataka, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 - Conclusions: All socio-demographic factors studied, except respondent's occupation, were associated with children's birth weight.

Indexed as

Anthropometrybirth weightchild growthstatistical modelsunder-5 children

Identifiers

PMID36742967
PMCPMC9891046

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.