Gizaw Zemichael, Teka Zinabu
Department of Environmental and Occupational Health and Safety, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Ethiopia.
Department of Statistics, College of Natural and Computational Sciences, University of Gondar, Gondar, Ethiopia.
Environ Health Insights. 2020 Dec 6;14:1178630220978234. doi: 10.1177/1178630220978234. eCollection 2020.
This community-based cross-sectional study was conducted to investigate the indoor concentration of carbon monoxide (CO) and associated factors in residential buildings of Gondar town, northwest Ethiopia. Data were collected from 384 occupied buildings and occupants using CO meter, interviewers administered questionnaire, and observation checklists. Multivariable binary logistic regression analysis was used for controlling the possible effect of confounders and to identify factors associated with indoor concentration of CO on the basis of adjusted odds ratio (AOR) with 95% confidence interval (CI) and < .05. The current study revealed that 224(58.3%) occupied buildings had the concentration of CO above the permissible value for 15 minute exposure for living rooms (100 mg/m). Indoor concentration of CO was significantly associated with access to health information [AOR = 0.081, 95%CI = (0.008, 0.803)], number of rooms [AOR = 0.016, 95% CI = (0.001, 0.279)], area of occupied room [AOR = 0.019, 95% CI = (0.001, 0.237)], buildings located away from main roads/garages [AOR = 0.045, 95% CI = (0.005, 0.415)], clean energy sources [AOR = 0.010, 95% CI = (0.001, 0.123)], presence of separate kitchen [AOR = 0.030, 95% CI = (0.004, 0.221)], no incensing in the room [AOR = 0.055, 95% CI = (0.006,0.499)] and measurements in the afternoon [AOR = 0.114, 95% CI = (0.013, 0.965)]. Residents, therefore, need to use clean energy sources, construct a kitchen with a properly constructed chimneys away from the main building, and avoid incensing inside the indoor environment.
这项基于社区的横断面研究旨在调查埃塞俄比亚西北部贡德尔镇住宅建筑内一氧化碳（CO）的浓度及相关因素。使用一氧化碳测量仪、访谈问卷和观察清单，从384座有人居住的建筑及其居住者那里收集了数据。采用多变量二元逻辑回归分析来控制混杂因素的可能影响，并根据调整后的优势比（AOR）及95%置信区间（CI）和P<0.05来确定与室内一氧化碳浓度相关的因素。当前研究表明，224座（58.3%）有人居住的建筑中，客厅15分钟暴露的一氧化碳浓度超过了允许值（100毫克/立方米）。室内一氧化碳浓度与获取健康信息[AOR = 0.081，95%CI =（0.008，0.803）]、房间数量[AOR = 0.016，95%CI =（0.001，0.279）]、居住房间面积[AOR = 0.019，95%CI =（0.001，0.237）]、远离主干道/车库的建筑[AOR = 0.045，95%CI =（0.005，0.415）]、清洁能源[AOR = 0.010，95%CI =（0.001，0.123）]、有独立厨房[AOR = 0.030，95%CI =（0.004，0.221）]、室内不焚香[AOR = 0.055，95%CI =（0.006，0.499）]以及下午进行测量[AOR = 0.114，95%CI =（0.013，0.965）]显著相关。因此，居民需要使用清洁能源，建造一个带有合适烟囱且远离主楼的厨房，并避免在室内环境中焚香。
