Risk factors for some tropical diseases in an African country

Abstract Background Often, non-clinical risk factors could affect the predisposition of an individual to diseases. Understanding these factors and their impacts helps in disease prevention and control. This study identified risk factors for malaria, yellow fever, typhoid, chickenpox, measles, hepati...

Full description

Bibliographic Details
Main Authors: F.-M. E. Uzoka, C. Akwaowo, C. Nwafor-Okoli, V. Ekpin, C. Nwokoro, M. El Hussein, J. Osuji, F. Aladi, B. Akinnuwesi, T. F. Akpelishi
Format: Article
Language:English
Published: BMC 2021-12-01
Series:BMC Public Health
Subjects:
Online Access:https://doi.org/10.1186/s12889-021-12286-3
_version_ 1818383862541058048
author F.-M. E. Uzoka
C. Akwaowo
C. Nwafor-Okoli
V. Ekpin
C. Nwokoro
M. El Hussein
J. Osuji
F. Aladi
B. Akinnuwesi
T. F. Akpelishi
author_facet F.-M. E. Uzoka
C. Akwaowo
C. Nwafor-Okoli
V. Ekpin
C. Nwokoro
M. El Hussein
J. Osuji
F. Aladi
B. Akinnuwesi
T. F. Akpelishi
author_sort F.-M. E. Uzoka
collection DOAJ
description Abstract Background Often, non-clinical risk factors could affect the predisposition of an individual to diseases. Understanding these factors and their impacts helps in disease prevention and control. This study identified risk factors for malaria, yellow fever, typhoid, chickenpox, measles, hepatitis B, and urinary tract infection in a population in an African country. Methods Our study was an observational, correlational, and quantitative one that explored relationships among risk variables and disease prevalence - without modifying or controlling the variables. Data for this study was obtained through random sampling of a population of patients and physicians in the eastern/southern, western, and northern parts of Nigeria in 2015–2016. A total of 2199 patient consultation forms were returned by 102 (out of 125) physicians, and considered useful for analysis. Demographic data of patients, physicians, and diagnosis outcomes were analysed descriptively through frequency distributions, aggregate analysis, and graphs. The influence of risk factors on the disease manifestations (diagnosis outcomes) was determined using regression analysis. Results Our results show that living in a tropical climate is by far a major risk factor associated with tropical diseases (malaria: t = 19.9, typhoid: t = − 3.2, chickenpox: t = − 6.5 and typhoid: t = 12.7). The risk for contracting infections is relative to specific diseases; for example, contact with chickenpox infected person poses a high risk of contracting the virus (t = 41.8), while poor personal hygiene predisposes people to high risk of urinary tract infection (t = 23.6). On the other hand, urbanization and homelessness pose very low risks of disposing the individual to the diseases under consideration, while low fluid intake, lack of voiding, and wearing non-cotton underwear predispose individuals to few diseases. Conclusion The risk factors identified in our study exert differential and discriminating influences in the causation, predisposition, and transmission of these disease studied. It is recommended that significant effort be devoted by governments in the tropics to the mitigation of these modifiable risk factors. The most important strategy to mitigate the occurrence of these risk factors will be improving the living conditions of people and the provision of social protection measures to reduce the occurrence and burden of these diseases.
first_indexed 2024-12-14T03:13:07Z
format Article
id doaj.art-9d5b05d6fe1e44e9ab92ac64ab2e6dda
institution Directory Open Access Journal
issn 1471-2458
language English
last_indexed 2024-12-14T03:13:07Z
publishDate 2021-12-01
publisher BMC
record_format Article
series BMC Public Health
spelling doaj.art-9d5b05d6fe1e44e9ab92ac64ab2e6dda2022-12-21T23:19:12ZengBMCBMC Public Health1471-24582021-12-0121111010.1186/s12889-021-12286-3Risk factors for some tropical diseases in an African countryF.-M. E. Uzoka0C. Akwaowo1C. Nwafor-Okoli2V. Ekpin3C. Nwokoro4M. El Hussein5J. Osuji6F. Aladi7B. Akinnuwesi8T. F. Akpelishi9Dept. of Math and Computing, Mount Royal UniversityDept. of Public Health, University of Uyo Teaching HospitalCanadian Institute for Innovation and DevelopmentMorat Medical CentreDept of Computer Science, University of UyoSchool of Nursing, Mount Royal UniversitySchool of Nursing, Mount Royal UniversityHealth Watch Medical ClinicDept of Computer Science, University of EswatiniHealth Centre, Bells University of TechnologyAbstract Background Often, non-clinical risk factors could affect the predisposition of an individual to diseases. Understanding these factors and their impacts helps in disease prevention and control. This study identified risk factors for malaria, yellow fever, typhoid, chickenpox, measles, hepatitis B, and urinary tract infection in a population in an African country. Methods Our study was an observational, correlational, and quantitative one that explored relationships among risk variables and disease prevalence - without modifying or controlling the variables. Data for this study was obtained through random sampling of a population of patients and physicians in the eastern/southern, western, and northern parts of Nigeria in 2015–2016. A total of 2199 patient consultation forms were returned by 102 (out of 125) physicians, and considered useful for analysis. Demographic data of patients, physicians, and diagnosis outcomes were analysed descriptively through frequency distributions, aggregate analysis, and graphs. The influence of risk factors on the disease manifestations (diagnosis outcomes) was determined using regression analysis. Results Our results show that living in a tropical climate is by far a major risk factor associated with tropical diseases (malaria: t = 19.9, typhoid: t = − 3.2, chickenpox: t = − 6.5 and typhoid: t = 12.7). The risk for contracting infections is relative to specific diseases; for example, contact with chickenpox infected person poses a high risk of contracting the virus (t = 41.8), while poor personal hygiene predisposes people to high risk of urinary tract infection (t = 23.6). On the other hand, urbanization and homelessness pose very low risks of disposing the individual to the diseases under consideration, while low fluid intake, lack of voiding, and wearing non-cotton underwear predispose individuals to few diseases. Conclusion The risk factors identified in our study exert differential and discriminating influences in the causation, predisposition, and transmission of these disease studied. It is recommended that significant effort be devoted by governments in the tropics to the mitigation of these modifiable risk factors. The most important strategy to mitigate the occurrence of these risk factors will be improving the living conditions of people and the provision of social protection measures to reduce the occurrence and burden of these diseases.https://doi.org/10.1186/s12889-021-12286-3Risk factorInfectious diseasesTropical diseasesCommunicable diseases and sub-Saharan Africa
spellingShingle F.-M. E. Uzoka
C. Akwaowo
C. Nwafor-Okoli
V. Ekpin
C. Nwokoro
M. El Hussein
J. Osuji
F. Aladi
B. Akinnuwesi
T. F. Akpelishi
Risk factors for some tropical diseases in an African country
BMC Public Health
Risk factor
Infectious diseases
Tropical diseases
Communicable diseases and sub-Saharan Africa
title Risk factors for some tropical diseases in an African country
title_full Risk factors for some tropical diseases in an African country
title_fullStr Risk factors for some tropical diseases in an African country
title_full_unstemmed Risk factors for some tropical diseases in an African country
title_short Risk factors for some tropical diseases in an African country
title_sort risk factors for some tropical diseases in an african country
topic Risk factor
Infectious diseases
Tropical diseases
Communicable diseases and sub-Saharan Africa
url https://doi.org/10.1186/s12889-021-12286-3
work_keys_str_mv AT fmeuzoka riskfactorsforsometropicaldiseasesinanafricancountry
AT cakwaowo riskfactorsforsometropicaldiseasesinanafricancountry
AT cnwaforokoli riskfactorsforsometropicaldiseasesinanafricancountry
AT vekpin riskfactorsforsometropicaldiseasesinanafricancountry
AT cnwokoro riskfactorsforsometropicaldiseasesinanafricancountry
AT melhussein riskfactorsforsometropicaldiseasesinanafricancountry
AT josuji riskfactorsforsometropicaldiseasesinanafricancountry
AT faladi riskfactorsforsometropicaldiseasesinanafricancountry
AT bakinnuwesi riskfactorsforsometropicaldiseasesinanafricancountry
AT tfakpelishi riskfactorsforsometropicaldiseasesinanafricancountry