Evidence map›Paper›PMID 33282090›Full record

ArticleThe Pan African medical journal2020

Magnitude and factors associated with upper respiratory tract infection among under-five children in public health institutions of Aksum town, Tigray, Northern Ethiopia: an institutional based cross-sectional study.

Teklay Zeru, Hagos Berihu, Gerezgiher Buruh, Haftom Gebrehiwot

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Article in The Pan African medical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 26% of its field
1 · What the graph read from it

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3 · Its place in the literature

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2 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

4 authors at 1 institution in 1 country.

Teklay ZeruDepartment of Nursing, College of Health Sciences, Aksum University, Aksum, Ethiopia.
Hagos BerihuDepartment of Nursing, College of Health Sciences, Aksum University, Aksum, Ethiopia.
Gerezgiher BuruhDepartment of Nursing, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Haftom GebrehiwotDepartment of Nursing, College of Health Sciences, Mekelle University, Mekelle, Ethiopia.
Mekelle University · ET

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionupper respiratory tract infection is a leading cause of morbidity among under-five, particularly in the developing countries. Delays in the identification and treatment of under-fives are among the main contributors to the complication. The aim of this study was to assess the magnitude and to identify factors associated with upper respiratory tract infection among under-five children, in public health institutions of Aksum City, Tigray Region, North Ethiopia, 2016.

methodsinstitutional based cross-sectional study was done. Cases were under-five children who had get service. The study participants were selected using Systematic random sampling technique. Data were entered, using Epi-info version 7 and analyzed using SPSS version 22.0. Clinical data from the chart were used to diagnose upper respiratory tract infection types. The binary logistic regression model was used to test the association between dependent and independent variables and multivariable logistic regression was used to identify the associated factors to upper respiratory tract infections.

resultsout of 213 study participants 52.6% identified as having at least one type of upper respiratory tract infection, i.e. sinusitis 22 (10.3%), 37 (17.4%) otitis media, 39 (18.3%) tonsillitis and common cold 83 (39.0%). Multivariable logistic regression analysis shows that rural residence 7.6 [AOR (95%CI) (2.49, 23.58)], civil servant father's children 4.49 [AOR (95%CI) (1.57, 12.83)], non-immunization 6.0 [AOR(95%CI) (1.38, 26.8)], mud house wall 4.58 [AOR (95%CI) (1.74, 12.0)], rental house 5.1 [AOC (95% CI) (1.82, 14.6] and large family size 5.3 [AOC (95%CI) (2.3, 12.1 )], were found to be statistically associated.

conclusionsocioeconomic, maternal and environmental factors had contributed to the upper respiratory tract infection. Strengthening of the existing disease prevention policy as well as improvement of institutional health service behavior is crucial.

Indexed as

Family CharacteristicsAdolescentAdultChild, PreschoolCross-Sectional StudiesEthiopiaFemaleHumansInfantMaleResidence CharacteristicsRespiratory Tract InfectionsRisk FactorsSocioeconomic FactorsYoung AdultAksumunder-five childrenUpper respiratory tract infection

Identifiers

PMID33282090
PMCPMC7687484
OpenAlexW3080945802

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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.