Evidence map›Paper›PMID 37886806›Full record

ArticlePublic health nutrition2023

Trends and long-term variation explaining nutritional determinants of child linear growth: analysis of Bangladesh Demographic and Health Surveys 1996-2018.

Khandaker Tanveer Ahmed, Md Karimuzzaman, Sabrina Afroz, Md Moyazzem Hossain, Syeda Shahanara Huq, Faruq Abdulla, Azizur Rahman

Open access · goldAbstract read
In one paragraph

Article in Public health nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
4 · The record

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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

7 authors at 3 institutions in 4 countries.

Khandaker Tanveer AhmedDepartment of Statistics, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0001-8048-5367
Md KarimuzzamanDepartment of Statistics, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0002-2278-2379
Sabrina AfrozDepartment of Statistics, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Md Moyazzem HossainDepartment of Statistics, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.ORCID 0000-0003-3593-6936
Syeda Shahanara HuqDepartment of Statistics, Jahangirnagar University, Savar, Dhaka1342, Bangladesh.
Faruq AbdullaCancer Care and Research Trust Bangladesh (CCRTB), Dhaka1204, Bangladesh.
Azizur RahmanSchool of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia.ORCID 0000-0002-7670-5192
Jahangirnagar University · BDCharles Sturt University · AUDhaka Community Hospital Trust · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the height-for-age z-score (HAZ) of 0-35 months' children along with stunting prevalence to identify trends, changes and available nutrition-sensitive and specific determinants that could help explain the long-term variation in child linear growth using successive Bangladesh Demographic and Health Surveys (BDHS) data from 1996 to 2018.

designThe BDHS pooled data are used for determining the key outcome variables HAZ, stunting and severe stunting. Trends, kernel-weighted local polynomial smoothing illustrations, pooled multivariable linear probability model (LPM), ordinary least squares method (OLS) and regression decomposition were used.

participantsMothers having 0-35 months' children, the most critical age range for growth faltering.

resultsThe mean HAZ increased by 0·91(±1·53) with 0·041 annual average change, while the percentages of stunting (-26·63 ± 0·54) and severe stunting (-21·12 ± 0·48) showed a reduction with 1·21 and 0·96 average annual changes, respectively. The average HAZ improvement (0·42 ± 1·56) in urban areas was less than the rural areas (1·16 ± 1·44). Similar patterns followed for stunting and severe stunting. The prenatal doctor visits (3064·65 %), birth in a medical facility (1054·32 %), breastfeeding initiation (153·18 %) and asset index (144·73 %) demonstrated a huge change. The findings of OLS, LPM and regression decomposition identified asset index, birth order, paternal and maternal education, bottle-fed, prenatal doctor visit, birth in a medical facility, vaccination, maternal BMI and ever-breastfed as influencing factors to predict the long-term changes of stunting and severe stunting.

conclusionThe nutrition-sensitive and specific factors identified through regression decomposition describing long-term variation in child linear growth should be focused further to attain the sustainable development goals.

Indexed as

Growth DisordersMothersBangladeshChildChild, PreschoolEducational StatusFemaleHealth SurveysHumansInfantInfant, NewbornNutritional StatusPregnancyPrevalenceBangladeshInfant and child nutritionLinear growthMalnutritionRegression decompositions

Identifiers

PMID37886806
PMCPMC10755425
OpenAlexW4387966756

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Registered trials

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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.