Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients

Abstract The objective of this study was to examine the association of 14 variables with TB in respiratory patients. The variables included: urban/rural, persons in 1200 sqft area, TB in family, crowding, smoking (family member), gender, age, education, smoking, workplace, kitchen location, cooking...

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Autores principales:	Ashutosh K. Pathak, Mukesh Sharma, Subodh K. Katiyar, Sandeep Katiyar, Pavan K. Nagar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/2c1adc10ea45460fb9c8f16450c6ae9a
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spelling	oai:doaj.org-article:2c1adc10ea45460fb9c8f16450c6ae9a2021-12-02T13:34:10ZLogistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients10.1038/s41598-020-79023-52045-2322https://doaj.org/article/2c1adc10ea45460fb9c8f16450c6ae9a2020-12-01T00:00:00Zhttps://doi.org/10.1038/s41598-020-79023-5https://doaj.org/toc/2045-2322Abstract The objective of this study was to examine the association of 14 variables with TB in respiratory patients. The variables included: urban/rural, persons in 1200 sqft area, TB in family, crowding, smoking (family member), gender, age, education, smoking, workplace, kitchen location, cooking fuel, ventilation, and kerosene uses. Eight hundred respiratory patients were tested for sputum positive pulmonary TB; 500 had TB and 300 did not. An analysis of the unadjusted odds ratio (UOR) and adjusted OR (AOR) was undertaken using logistic regression to link the probability of TB incidences with the variables. There was an inconsistency in the significance of variables using UOR and AOR. A subset model of 4 variables (kerosene uses, ventilation, workplace, and gender) based on significant AOR was adjudged acceptable for estimating the probability of TB incidences. Uses of kerosene (AOR 2.62 (1.95, 3.54)) consistently related to incidences of TB. It was estimated that 50% reduction in kerosene uses could reduce the probability of TB by 13.29% in respiratory patients. The major recommendation was to replace kerosene uses from households with a supply of clean fuel like liquid petroleum or natural gas and rural electrification.Ashutosh K. PathakMukesh SharmaSubodh K. KatiyarSandeep KatiyarPavan K. NagarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 10, Iss 1, Pp 1-10 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Ashutosh K. Pathak Mukesh Sharma Subodh K. Katiyar Sandeep Katiyar Pavan K. Nagar Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
description	Abstract The objective of this study was to examine the association of 14 variables with TB in respiratory patients. The variables included: urban/rural, persons in 1200 sqft area, TB in family, crowding, smoking (family member), gender, age, education, smoking, workplace, kitchen location, cooking fuel, ventilation, and kerosene uses. Eight hundred respiratory patients were tested for sputum positive pulmonary TB; 500 had TB and 300 did not. An analysis of the unadjusted odds ratio (UOR) and adjusted OR (AOR) was undertaken using logistic regression to link the probability of TB incidences with the variables. There was an inconsistency in the significance of variables using UOR and AOR. A subset model of 4 variables (kerosene uses, ventilation, workplace, and gender) based on significant AOR was adjudged acceptable for estimating the probability of TB incidences. Uses of kerosene (AOR 2.62 (1.95, 3.54)) consistently related to incidences of TB. It was estimated that 50% reduction in kerosene uses could reduce the probability of TB by 13.29% in respiratory patients. The major recommendation was to replace kerosene uses from households with a supply of clean fuel like liquid petroleum or natural gas and rural electrification.
format	article
author	Ashutosh K. Pathak Mukesh Sharma Subodh K. Katiyar Sandeep Katiyar Pavan K. Nagar
author_facet	Ashutosh K. Pathak Mukesh Sharma Subodh K. Katiyar Sandeep Katiyar Pavan K. Nagar
author_sort	Ashutosh K. Pathak
title	Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
title_short	Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
title_full	Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
title_fullStr	Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
title_full_unstemmed	Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
title_sort	logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/2c1adc10ea45460fb9c8f16450c6ae9a
work_keys_str_mv	AT ashutoshkpathak logisticregressionanalysisofenvironmentalandothervariablesandincidencesoftuberculosisinrespiratorypatients AT mukeshsharma logisticregressionanalysisofenvironmentalandothervariablesandincidencesoftuberculosisinrespiratorypatients AT subodhkkatiyar logisticregressionanalysisofenvironmentalandothervariablesandincidencesoftuberculosisinrespiratorypatients AT sandeepkatiyar logisticregressionanalysisofenvironmentalandothervariablesandincidencesoftuberculosisinrespiratorypatients AT pavanknagar logisticregressionanalysisofenvironmentalandothervariablesandincidencesoftuberculosisinrespiratorypatients
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Logistic regression analysis of environmental and other variables and incidences of tuberculosis in respiratory patients

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