Evidence map›Paper›PMID 33999945›Full record

ArticlePloS one2021

Individual and community level factors associated with use of iodized salt in sub-Saharan Africa: A multilevel analysis of demographic health surveys.

Yigizie Yeshaw, Alemneh Mekuriaw Liyew, Achamyeleh Birhanu Teshale, Tesfa Sewunet Alamneh, Misganaw Gebrie Worku, Zemenu Tadesse Tessema, Adugnaw Zeleke Alem, Getayeneh Antehunegn Tesema

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 9 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

8 authors at 1 institution in 1 country.

Yigizie YeshawDepartment of Physiology, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0003-4587-7925
Alemneh Mekuriaw LiyewDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Achamyeleh Birhanu TeshaleDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.ORCID 0000-0002-7572-9993
Tesfa Sewunet AlamnehDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Misganaw Gebrie WorkuDepartment of Human Anatomy, School of Medicine, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Zemenu Tadesse TessemaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Adugnaw Zeleke AlemDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Getayeneh Antehunegn TesemaDepartment of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
University of Gondar · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIodine deficiency disorder a common problem in sub-Saharan Africa (SSA). It affects not only the health of the affected individual but also the economic development of the country. However, to the best of our knowledge, there is a scarcity in literature about the associated factors of iodized salt utilization in sub-Saharan Africa. Therefore, this study aimed to identify both individual and community level determinants of iodized salt utilization in sub-Saharan Africa.

methodsThis study used the appended datasets of the most recent demographic and health survey from 31 sub-Saharan countries. A total weighted sample of 391,463 households was included in the study. Both bivariable and multivariable multilevel logistic regression were done to determine the associated factors of iodized salt utilization in SSA. P value ≤ 0.05 was used to declare statistically significant variables.

resultsThose households with primary (AOR  =  1.53, 95% CI  =  1.50-1.57), secondary (AOR  = 1.81, 95% CI  =  1.76-1.86) and higher education level (AOR  =  2.28, 95% CI  =  2.17-2.40) had higher odds of iodized salt utilization. Households with middle (AOR  =  1.05, 95% CI  =  1.02-1.08), richer (AOR  = 1.13, 95% CI  =  1.09-1.17) and richest wealth index (AOR  =  1.23, 95% CI  =  1.18-1.28) also had an increased chance of using iodized salt. Households from high community media exposure (AOR  =  2.07, 95% CI  =  1.71-2.51), high community education level (AOR  =  3.78, 95% CI  =  3.14-4.56), and low community poverty level (AOR = 1.29, CI  =  1.07-1.56) had higher odds of using salt containing iodine.

conclusionBoth individual and community level factors were found to be associated with use of salt containing iodine in sub-Saharan Africa. Education level, media exposure, community poverty level, wealth index, community education, and community media exposure were found to be associated with use of salt containing iodine in SSA. Therefore, to improve the use of iodized salt in the region, there is a need to increase access to media sources and develop the socioeconomic status of the community.

Indexed as

Models, TheoreticalAdultAfrica South of the SaharaAgedFamily CharacteristicsFemaleHealth SurveysHumansIodineMaleMiddle AgedMultilevel AnalysisSocial ClassSocioeconomic FactorsSodium Chloride, DietaryThyroid DiseasesIodineiodized saltSodium Chloride, DietaryThyroid Hormones

Identifiers

PMID33999945
PMCPMC8128257
OpenAlexW3163382540

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.