Dept. of Math and Computing, Mount Royal University, 4825 Mt Royal Gate SW, Calgary, AB, T3E 6K6, Canada.
Dept. of Public Health, University of Uyo Teaching Hospital, Uyo, Nigeria.
BMC Public Health. 2021 Dec 11;21(1):2261. doi: 10.1186/s12889-021-12286-3.
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.
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.
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.
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.
非临床风险因素通常会影响个体患病的易感性。了解这些因素及其影响有助于疾病的预防和控制。本研究旨在确定非洲某国家人群中疟疾、黄热病、伤寒、水痘、麻疹、乙型肝炎和尿路感染的风险因素。
本研究是一项观察性、相关性和定量研究,旨在探索变量与疾病流行之间的关系,而不改变或控制变量。本研究的数据是通过 2015-2016 年在尼日利亚东部/南部、西部和北部地区随机抽取患者和医生的人群样本获得的。共有 125 名医生中的 102 名(102/125)医生返回了 2199 份患者咨询表,这些表格被认为对分析有用。通过频率分布、汇总分析和图表对患者、医生和诊断结果的人口统计学数据进行描述性分析。使用回归分析确定风险因素对疾病表现(诊断结果)的影响。
我们的结果表明,生活在热带气候中是与热带疾病相关的主要风险因素(疟疾:t=19.9,伤寒:t=-3.2,水痘:t=-6.5,伤寒:t=12.7)。感染的风险与特定疾病有关;例如,接触水痘感染者会大大增加感染病毒的风险(t=41.8),而个人卫生条件差会使人们面临尿路感染的高风险(t=23.6)。另一方面,城市化和无家可归对使个体易患所考虑疾病的风险非常低,而低液体摄入、缺乏排尿和穿着非棉质内衣会使个体易患少数疾病。
本研究确定的风险因素对这些研究疾病的病因、易感性和传播具有不同的影响。建议热带地区的政府投入大量精力来减轻这些可改变的风险因素。减轻这些风险因素发生的最重要策略是改善人们的生活条件,并提供社会保护措施,以减少这些疾病的发生和负担。