Evidence map›Paper›PMID 38041025›Full record

ArticleBMC public health2023

Iodized household salt utilization and associated factors among households in East Africa: a multilevel modelling analysis using recent national health surveys.

Bewuketu Terefe, Mahlet Moges Jembere, Nega Tezera Assimamaw

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Bewuketu TerefeDepartment of Community Health Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia. woldeabwomariam@gmail.com.
Mahlet Moges JembereDepartment of Emergency and Critical Care Nursing, School of Nursing, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Nega Tezera AssimamawDepartment of Pediatric and Child Health, School of Nursing, 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 disorders (IDDs) are a significant global public health issue that affects the physical and mental development of every age group, with children and nursing mothers being the most vulnerable. Approximately 50 million of approximately 2 billion people with iodine deficiency (ID) globally exhibit clinical symptoms. Identifying iodine levels using various techniques is important when considering treatment choices. Screening programs and early ID diagnostics are crucial for the follow-up of pregnant women, especially in iodine-deficient nations. There have been calls for universal salt iodization programs, but only approximately 71% of people have access to them. The problem is more common in developing nations; however, there is a shortage of literature on the individual-, family-, and community-level factors influencing iodized salt use in East Africa. This study aimed to investigate individual- and community-level factors of household iodized salt usage in East Africa.

methodsUsing Stata 17, this study used the most recent demographic and health survey datasets from twelve East African countries. The survey included a weighted sample of 154,980 households. To assess factors related to iodized salt use in the region, bivariable and multivariable multilevel logistic regressions were used. P values less than or equal to 0.2, and < 0.05 were used in the binary regression, and to deem variables statistically significant in the final model respectively.

resultsAbout 87.73% (95% CI = 87.56,87.89) households have utilized iodized household salt. Secondary and above education (AOR = 1.23, 95% CI = 1.17-1.30), household heads with ages of 25-35 years, 36-45 years (AOR = 1.20, 95% CI = 1.12,1.28), 36-45 years (AOR = 1.16, 95% CI = 1.09,1.24), and more than 45 years (AOR = 1.18, 95% CI = 1.11,1.25), lower and middle wealth (AOR = 0.89, 95% CI = 0.76,0.89) and (AOR = 0.97, 95% CI = 0.81,0.93), media exposure (AOR = 1.10, 95% CI = 1.07-1.14), female household leaders (AOR = 1.08, 95% CI = 1.04-1.12), access to improved drinking water and better toilet facility (AOR = 2.26, 95% CI = 2.18-2.35) and (AOR = 1.50, 95% CI = 1.44,1.56), larger than five family members (AOR = 0.96, 95% CI = 0.93-0.99), high community level wealth (AOR = 1.54, 95% CI = 1.27-1.87), and low community education(AOR = 0.40, 95% CI = 0.33,0.49) were statistically associated with utilization of iodized household salt in East Africa respectively.

conclusionIn East Africa, household salt iodization is moderately good. To expand the use of iodized salt in the region, access to improved drinking water and toilet facilities, participating family leaders, using the opportunity of family planning services, media sources, and the improvement of the community's socioeconomic level are all needed.

Indexed as

Drinking WaterIodineMalnutritionAfrica, EasternChildFamily CharacteristicsFemaleHealth SurveysHumansMultilevel AnalysisPregnancySodium Chloride, DietaryDrinking WaterIodineiodized saltSodium Chloride, DietaryEast AfricaFactorsHouseholdsIodized household salt utilizationMultilevel model

Identifiers

PMID38041025
PMCPMC10690974
OpenAlexW4389236687

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LicenceCC BY
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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.