Evidence map›Paper›PMID 36522494›Full record

ArticleScientific reports2022

Socio-economic inequalities in minimum dietary diversity among Bangladeshi children aged 6-23 months: a decomposition analysis.

Satyajit Kundu, Pranta Das, Md Ashfikur Rahman, Md Hasan Al Banna, Kaniz Fatema, Md Akhtarul Islam, Shobhit Srivastava, T Muhammad, Rakhi Dey, Ahmed Hossain

Abstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
–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

16 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

10 authors.

Satyajit Kundu *Global Health Institute, North South University, Dhaka, 1229, Bangladesh. satyajitnfs@gmail.com.ORCID 0000-0001-9610-1479
Pranta Das *Department of Statistics, University of Nebraska-Lincoln, Lincoln, NE, 68583-0963, USA.ORCID 0000-0003-2290-2200
Md Ashfikur RahmanDevelopment Studies Discipline, Khulna University, Khulna, 9208, Bangladesh.ORCID 0000-0002-5517-8557
Md Hasan Al BannaDepartment of Food Microbiology, Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Patuakhali, 8602, Bangladesh.ORCID 0000-0002-2164-3414
Kaniz FatemaDepartment of Statistics, University of Dhaka, Dhaka, 1000, Bangladesh.
Md Akhtarul IslamStatistics Discipline, Science Engineering & Technology School, Khulna University, Khulna, 9208, Bangladesh.ORCID 0000-0003-2396-2168
Shobhit SrivastavaDepartment of Survey Research and Data Analytics, International Institute for Population Sciences, Mumbai, 400088, India.ORCID 0000-0002-7138-4916
T MuhammadDepartment of Family & Generations, International Institute for Population Sciences, Mumbai, 400088, India.ORCID 0000-0003-1486-7038
Rakhi DeyDepartment of Statistics, Government Brajalal College, National University of Bangladesh, Gazipur, 1704, Bangladesh.ORCID 0000-0001-9729-2828
Ahmed HossainCollege of Health Sciences, University of Sharjah, 27272, Sharjah, United Arab Emirates.ORCID 0000-0003-4575-1273

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to measure the socio-economic inequalities in having minimum dietary diversity (MDD) among Bangladeshi children aged 6-23 months as well as to determine the factors that potentially contribute to the inequity. The Bangladesh Demographic and Health Survey (BDHS) 2017-2018 data were used in this study. A sample of 2405 (weighted) children aged 6-23 months was included. The overall weighted prevalence of MDD was 37.47%. The concentration index (CIX) value for inequalities in MDD due to wealth status was positive and the concentration curve lay below the line of equality (CIX: 0.1211, p < 0.001), where 49.47% inequality was contributed by wealth status, 25.06% contributed by the education level of mother, and 20.41% contributed by the number of ante-natal care (ANC) visits. Similarly, the CIX value due to the education level of mothers was also positive and the concentration curve lay below the line of equality (CIX: 0.1341, p < 0.001), where 52.68% inequality was contributed by the education level of mother, 18.07% contributed by wealth status, and 14.69% contributed by the number of ANC visits. MDD was higher among higher socioeconomic status (SES) groups. Appropriate intervention design should prioritize minimizing socioeconomic inequities in MDD, especially targeting the contributing factors of these inequities.

Indexed as

MothersSocial ClassChildEducational StatusFemaleHumansPrevalenceSocioeconomic Factors

Identifiers

PMID36522494
PMCPMC9755277

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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.