Evidence map›Paper›PMID 35073386›Full record

ArticlePloS one2022

Prevalence and determinants of undernutrition among adolescents in India: A protocol for systematic review and meta-analysis.

Jayashree Parida, Lopamudra Jena Samanta, Jagatdarshi Badamali, Prasant Kumar Singh, Prasanna Kumar Patra, Bijay Kumar Mishra, Sanghamitra Pati, Harpreet Kaur, Subhendu Kumar Acharya

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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  3. Article
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  5. 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

9 authors at 2 institutions in 1 country.

Jayashree ParidaIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Lopamudra Jena SamantaIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Jagatdarshi BadamaliIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Prasant Kumar SinghIndian Council of Medical Research-National Institute of Cancer Prevention and Research, New Delhi, India.
Prasanna Kumar PatraDepartment of Anthropology, Utkal University, Bhubaneswar, Odisha, India.
Bijay Kumar MishraIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Sanghamitra PatiIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.
Harpreet KaurDivision of Tribal Health, Indian Council of Medical Research, New Delhi, India.
Subhendu Kumar AcharyaIndian Council of Medical Research -Regional Medical Research Centre, Bhubaneswar, Odisha, India.ORCID 0000-0003-0188-6950
Indian Council of Medical Research · INUtkal University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUndernutrition is one of the serious health problems among adolescents in India where 253 million adolescents are in the age group of 10-19 years. Since adolescents represent the next generation of adults, it is important to understand the nutritional status of adolescents. Even though several studies have been carried out in different states in India on adolescent undernutrition (stunting, wasting /underweight), there is no study or review that estimated the national pooled prevalence of adolescent undernutrition and its determinants. Therefore, this review aims to determine the pooled prevalence and determinants of undernutrition (stunting, underweight/wasting) among Indian adolescents.

methodsA systematic review of eligible articles will be conducted using preferred reporting items for systematic reviews and meta-analysis (PRISMA) guidelines. A comprehensive searching of the literature will be made in Pub Med, EMBASE, SCOPUS, Google, Google Scholar, and Cochrane databases. The quality of the articles included in the review will be evaluated using the Newcastle-Ottawa Scale (NOS) for observational studies in meta-analyses. The pooled prevalence and odds ratio of the associated risk factors or determinants with their 95% confidence interval will be computed using STATA version 16 software. The existence of heterogeneity among studies will be assessed by computing p-values of Higgins's I2 test statistics and Cochran's Q-statistics based on chi-square with a 5% level of significance among reported prevalence. Sensitivity analysis and subgroup analysis will be conducted based on study quality to investigate the possible sources of heterogeneity. Publication bias will be assessed through visual examination of funnel plots and objectively by Egger's regression test. This review protocol has been registered at PROSPERO (CRD42021286814). DISCUSSION: By collecting and summarizing information on adolescent undernutrition can be a step towards a better understanding of the prevalence of nutritional status of Indian adolescents and how the associated factors influence the prevalence of undernutrition. This review will provide directions for further research and healthcare practitioners. This summarized finding at the national level will provide impetus to build nutritional strategies and proper healthcare services to fight against undernutrition among the most ignored population.

Indexed as

Adolescent HealthMalnutritionNutritional StatusThinnessAdolescentFemaleHumansIndiaMaleMeta-Analysis as TopicPrevalenceRisk FactorsSystematic Reviews as Topic

Identifiers

PMID35073386
PMCPMC8786165
OpenAlexW4206968158

What OpenQuestion holds

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LicenceCC BY
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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.