Evidence map›Paper›PMID 36434025›Full record

ArticleScientific reports2022

Prevalence and associated factors of stunting, wasting and underweight of children below five using quintile regression analysis (PDHS 2017-2018).

Maryam Siddiqa, Amber Zubair, Asifa Kamal, Muhammad Ijaz, Tahani Abushal

Open access · goldAbstract 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 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

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

17 citing papers in PubMed, 33 citations in OpenAlex.

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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

5 authors at 4 institutions in 2 countries.

Maryam SiddiqaDepartment of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, Pakistan.
Amber ZubairDepartment of Mathematics and Statistics, International Islamic University Islamabad, Islamabad, Pakistan.
Asifa KamalDepartment of Statistics, Lahore College for Women University, Lahore, Pakistan.
Muhammad IjazDepartment of Mathematics and Statistics, The University of Haripur, Haripur, KP, Pakistan. ijaz.statistics@gmail.com.
Tahani AbushalDepartment of Mathematical Sciences, Umm Al-Qura University, Mecca, Saudi Arabia. taabushal@uqu.edu.sa.
International Islamic University, Islamabad · PKLahore College for Women University · PKUmm al-Qura University · SAUniversity of Haripur · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of the current study is to identify the risk factors for malnutrition among the age of under-five children's in Pakistan. This is secondary data analysis for the data taken from Pakistan Demographic and Health Survey (PDHS 2017-18) and was analyzed by implementing quantile regression analysis. The sample size included 12,708 alive children in the study, for which the data collection period was from November 22, 2017, to April 30, 2018. The prevalence of malnutrition among boys is high (51.2%). Older age mother's children have more prevalence of malnutrition (20.7%). A child born with small body size (underweight: Q

Indexed as

MalnutritionThinnessAgedCachexiaChildFemaleGrowth DisordersHumansMalePrevalenceRegression Analysis

Identifiers

PMID36434025
PMCPMC9700674
OpenAlexW4310057068

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.