Evidence map›Paper›PMID 30755282›Full record

ArticlePublic health nutrition2019

Factors associated with the availability of iodized salt at household level: a case study in Bangladesh.

Jahidur Rahman Khan, Raaj Kishore Biswas, Md Tuhin Sheikh, Molla Huq

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Article in Public health nutrition, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
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14citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Jahidur Rahman Khan1Centre for Research and Action in Public Health,Health Research Institute, Faculty of Health,University of Canberra,Room # 22,11 Kirinari Street,Bruce,Canberra,ACT 2617,Australia.
Raaj Kishore Biswas2Transport and Road Safety (TARS) Research,University of New South Wales,Sydney,New South Wales,Australia.
Md Tuhin Sheikh3Institute of Statistical Research and Training,University of Dhaka,Dhaka, Bangladesh.
Molla Huq5Department of Medicine,The University of Melbourne,Melbourne,Victoria,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe availability of iodized salt in households remains low in Bangladesh, which calls for improving the salt iodization quality and its coverage. The present study assessed the socio-economic disparity in Bangladesh to characterize the availability of iodized salt at household level.

designAssociations between different socio-economic factors and availability of iodized salt at household level were explored using Bayesian mixed-effects logistic models after adjusting the district- and cluster-level random effects.

settingBangladesh Multiple Indicator Cluster Survey (MICS), 2012-13.ParticipantsHouseholds (sample size, n 50981).

resultsResults showed that 73·15 % of household salt samples were iodized to some extent although iodization level varied. According to the regression model, houses with young (adjusted odds ratio of posterior mean (OR) = 1·31; 95 % credible interval (CI) 1·09, 1·64) and educated (OR = 3·66; 95 % CI 3·25, 4·23) household heads had significantly higher likelihood of availability of iodized salt. In addition, iodized salt was less likely be found in poor and rural households, as urban households were 2·88 times (95 % CI 2·41, 3·34) more likely have iodized salt. Moreover, the regional locations of the households were an important component that contributed to the local iodized salt coverage. As per the district-wise distribution, the north-west part of Bangladesh and Cox's Bazar in the far south seemed to lack household-level iodized salt.

conclusionsOur findings suggest that iodized salt intervention should be promoted considering the area variations, which could potentially help policy makers to design interventions in the context of Bangladesh.

Indexed as

Family CharacteristicsBangladeshBayes TheoremCluster AnalysisHumansIodineLogistic ModelsOdds RatioPovertyProportional Hazards ModelsRural PopulationSocioeconomic FactorsSodium Chloride, DietaryUrban PopulationIodineiodized saltSodium Chloride, DietaryBangladeshBayesian mixed modelDistrict-level variationSalt iodizationSocio-economic status

Identifiers

PMID30755282
PMCPMC10260559

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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.