Evidence map›Paper›PMID 37513542›Full record

ArticleNutrients2023

Drivers of Nutritional Change in Pakistan: A Decomposition Analysis.

Azka Rehman, Ping Qing, Xia Cui

Abstract read
In one paragraph

Article in Nutrients, 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
–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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Azka RehmanSchool of Economics and Statistics, Guangzhou University, Guangzhou 510006, China.
Ping QingCollege of Economics and Management, Huazhong Agricultural University, Wuhan 430070, China.
Xia CuiSchool of Economics and Statistics, Guangzhou University, Guangzhou 510006, China.

Funding

National Natural Science Foundation of China 11871173
6 · The paper itself

Abstract

The global reduction in child undernutrition highlights the international and national commitment to prioritizing future generations' health. This study aims to find out the previous trends in nutrition and the key drivers of these changes in different regions of Pakistan. For empirical investigation, we employed a regression-based decomposition model by using two distinct rounds of demographic and health surveys: 2012-13 and 2017-18. Results showed children with stunted growth reduced substantially in Balochistan, while Punjab exhibited the highest progress for underweight children. Regression estimates showed that maternal nutritional status and household wealth were more pronounced in reducing all measures of child malnutrition. Some determinants, including mother age at marriage and prenatal visits to the hospital, are significant only for long-term nutritional status-stunting, while mother education contributed to reducing wasted and underweight children. The rest of the factors, like father education and household environment, appear to play a humble role in explaining nutritional improvements. From disaggregated analysis based on different regions, we found that modeled factors used in this study explained changes disproportionately. Thus, it is recommended to use multidimensional nutrition policies incorporating a broader range of sectors, and region-specific programs should be designed for more effective outcomes.

Indexed as

Child Nutrition DisordersMalnutritionChildFemaleGrowth DisordersHumansInfantNutritional StatusPakistanPregnancySocioeconomic FactorsThinnesschild healthchild undernutritiondecompositionPakistanstuntingunderweight

Identifiers

PMID37513542
PMCPMC10384884

What OpenQuestion holds

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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.