Evidence map›Paper›PMID 34895220›Full record

Observational studyBMC public health2021

Risk factors for some tropical diseases in an African country.

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

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in BMC public health, 2021. 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
2.0field-weighted citation impact, top 13% 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. Article
  3. The Burden of Typhoid Fever in Sub-Saharan Africa: A Perspective.Research and reports in tropical medicine · 2022
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 5 institutions in 3 countries.

F-M E UzokaDept. of Math and Computing, Mount Royal University, 4825 Mt Royal Gate SW, Calgary, AB, T3E 6K6, Canada. fuzoka@mtroyal.ca.ORCID 0000-0002-2414-5349
C AkwaowoDept. of Public Health, University of Uyo Teaching Hospital, Uyo, Nigeria.
C Nwafor-OkoliCanadian Institute for Innovation and Development, Calgary, Canada.
V EkpinMorat Medical Centre, Benin City, Nigeria.
C NwokoroDept of Computer Science, University of Uyo, Uyo, Nigeria.
M El HusseinSchool of Nursing, Mount Royal University, Calgary, Canada.
J OsujiSchool of Nursing, Mount Royal University, Calgary, Canada.
F AladiHealth Watch Medical Clinic, Calgary, Canada.
B AkinnuwesiDept of Computer Science, University of Eswatini, Kwaluseni, Eswatini.
T F AkpelishiHealth Centre, Bells University of Technology, Otta, Nigeria.
Mount Royal University · CABells University of Technology · NGUniversity of Eswatini · SZUniversity of Uyo · NGUniversity of Uyo Teaching Hospital · NG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOften, 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.

methodsOur 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.

resultsOur 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.

conclusionThe 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.

Indexed as

MalariaTyphoid FeverHumansNigeriaRisk FactorsTropical ClimateCommunicable diseases and sub-Saharan AfricaInfectious diseasesRisk factorTropical diseases

Identifiers

PMID34895220
PMCPMC8666074
OpenAlexW4200048444

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.