Evidence map›Paper›PMID 35432972›Full record

ArticleFood science & nutrition2022

Determinants of underweight among children aged 0-23 months in Tanzania.

Cypriana Cyprian Moshi, Penina Joseph Sebastian, Devotha Gabriel Mushumbusi, Kaunara Ally Azizi, Wessy Pirbhai Meghji, Malimi Emmanuel Kitunda, Ladislaus Manaku Kasankala

Open access · hybridAbstract read
In one paragraph

Article in Food science & nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.5field-weighted citation impact, top 11% 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

12 citing papers in PubMed, 23 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

7 authors at 1 institution in 1 country.

Cypriana Cyprian MoshiDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.ORCID https://orcid.org/0000-0002-1967-9215
Penina Joseph SebastianDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.
Devotha Gabriel MushumbusiDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.
Kaunara Ally AziziDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.ORCID https://orcid.org/0000-0003-2346-9445
Wessy Pirbhai MeghjiDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.
Malimi Emmanuel KitundaDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.
Ladislaus Manaku KasankalaDepartment of Food Science and Nutrition Tanzania Food and Nutrition Center Dar es Salaam Tanzania.
Tanzania Food and Nutrition Center · TZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Underweight is the most dependable growth indicator for overall child growth. Tanzania has the highest rate of underweight children in East Africa, with 1.27 million children under the age of five suffering from the condition. This study aimed to determine factors that influence underweight in Tanzanian children aged 0-23 months. We used data from the Tanzania Demographic and Health Survey (TDHS) 2015-2016 to conduct secondary analysis on a sample of 4,327 children aged 0-23 months. Descriptive and inferential statistics such as frequency, chi-square, binary, and multivariate logistic regression were performed using the Statistical Package of Social Science (SPSS version 25). Statistical significance was defined as a

Indexed as

BMIdeterminantsTanzaniaunder fiveunderweight

Identifiers

PMID35432972
PMCPMC9007294
OpenAlexW4206842522

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.