PDF(Pubmed)
Abstract：
UNASSIGNED: The relationship between diagnosed high blood pressure (HBP) and proximity to health facilities and noise sources is poorly understood. We investigated the relationship between proximity to noise sources, sociodemographic and economic factors, and diagnosed HBP in Ibadan, Nigeria.
UNASSIGNED: We investigated 13,531 adults from the African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) study in Ibadan. Using a Geographic Information System (GIS), the locations of healthcare facilities, pharmaceutical shops, bus stops, churches, and mosques were buffered at 100m intervals, and coordinates of persons diagnosed with HBP were overlaid on the buffered features. The number of persons with diagnosed HBP living at every 100m interval was estimated. Gender, occupation, marital status, educational status, type of housing, age, and income were used as predictor variables. Analysis was conducted using Spearman rank correlation and binary logistic regression at p<0.05.
UNASSIGNED: There was a significant inverse relationship between the number of persons diagnosed with HBP and distance from pharmaceutical shops (r=-0.818), churches (r=-0.818), mosques (r=-0.893) and major roads (r=-0.667). The odds of diagnosed HBP were higher among the unemployed (AOR=1.58, 95% CI: 1.11-2.24), currently married (AOR=1.45, CI: 1.11-1.89), and previously married (1.75, CI: 1.29-2.38). The odds of diagnosed HBP increased with educational level and age group.
UNASSIGNED: Proximity to noise sources, being unemployed and educational level were associated with diagnosed HBP. Reduction in noise generation, transmission, and exposure could reduce the burden of hypertension in urban settings.
UNASSIGNED: We investigated 13,531 adults from the African Rigorous Innovative Stroke Epidemiological Surveillance (ARISES) study in Ibadan. Using a Geographic Information System (GIS), the locations of healthcare facilities, pharmaceutical shops, bus stops, churches, and mosques were buffered at 100m intervals, and coordinates of persons diagnosed with HBP were overlaid on the buffered features. The number of persons with diagnosed HBP living at every 100m interval was estimated. Gender, occupation, marital status, educational status, type of housing, age, and income were used as predictor variables. Analysis was conducted using Spearman rank correlation and binary logistic regression at p<0.05.
UNASSIGNED: There was a significant inverse relationship between the number of persons diagnosed with HBP and distance from pharmaceutical shops (r=-0.818), churches (r=-0.818), mosques (r=-0.893) and major roads (r=-0.667). The odds of diagnosed HBP were higher among the unemployed (AOR=1.58, 95% CI: 1.11-2.24), currently married (AOR=1.45, CI: 1.11-1.89), and previously married (1.75, CI: 1.29-2.38). The odds of diagnosed HBP increased with educational level and age group.
UNASSIGNED: Proximity to noise sources, being unemployed and educational level were associated with diagnosed HBP. Reduction in noise generation, transmission, and exposure could reduce the burden of hypertension in urban settings.
摘要：
背景：诊断出的高血压（HBP）与靠近医疗机构和噪声源之间的关系知之甚少。我们调查了接近噪声源之间的关系，社会人口和经济因素，并在伊巴丹诊断出HBP，尼日利亚。方法：我们调查了伊巴丹非洲严格创新卒中流行病学监测（ARISES）研究的13,531名成年人。使用地理信息系统(GIS)，医疗机构的位置，药店,巴士站,教堂,清真寺以100m的间隔缓冲，被诊断为HBP的人的坐标被覆盖在缓冲的特征上。估计每100m间隔生活的诊断为HBP的人数。性别,职业,婚姻状况,教育状况,住房类型,年龄,和收入被用作预测变量。使用Spearman秩相关和二元逻辑回归进行分析,p<0.05。结果：诊断为HBP的人数与距制药商店的距离之间存在显着负相关关系（r=-0.818），教堂（r=-0.818），清真寺(r=-0.893)和主要道路(r=-0.667)。失业人群中诊断出HBP的几率较高(AOR=1.58,95%CI:1.11-2.24),目前已婚（AOR=1.45，CI：1.11-1.89），并且先前已婚（1.75，CI：1.29-2.38）。诊断为HBP的几率随教育水平和年龄组的增加而增加。结论：接近噪声源，失业和受教育程度与确诊的HBP相关.减少噪音产生，传输,暴露可以减轻城市环境中的高血压负担。
