In this exploratory study, female community health workers recruited beauty salons from target zip codes in predominately Latino neighborhoods, including primarily Spanish-speaking small businesses. We collected salon chemical inventories, business characteristics, and participant activity logs to understand how chemicals and activities influence the total and specific VOC concentrations. We sampled personal total VOCs and specific VOCs from the same shop during the participant work shift. We also measured personal total VOCs for four work shifts per shop.
A linear mixed effects model of log VOCs on the fixed effect of activity and the random effects of salon and shift within the salon showed that the variance between salons explains over half (55%) of the total variance and is 4.1 times bigger than for shifts within salons. Summa canisters detected 31 specific VOCs, and hazard scores ranged between 0 and 4.3. 2-Propanol (isopropyl alcohol) was the only VOC detected in all shifts of all salons.
In this study, differences in VOC measurements were primarily between salons. These differences may result from differences in ventilation, services rendered, and product lines applied.
■在这项探索性研究中,女性社区卫生工作者从主要是拉丁裔社区的目标邮政编码招募美容院,主要包括讲西班牙语的小企业。我们收集了沙龙化学品库存,业务特点,和参与者活动日志,以了解化学品和活动如何影响总的和特定的VOC浓度。在参与者轮班期间,我们从同一商店采样了个人总VOCs和特定VOCs。我们还测量了每个商店四个轮班的个人总挥发性有机化合物。
■对数VOC对活动的固定影响以及沙龙和沙龙内移位的随机影响的线性混合效应模型表明,沙龙之间的方差解释了一半以上(55%)总方差,比沙龙内移位大4.1倍。Summa罐检测到31种特定的VOC,风险评分介于0和4.3之间。2-丙醇(异丙醇)是在所有沙龙的所有班次中检测到的唯一VOC。
■在这项研究中,VOC测量的差异主要在沙龙之间。这些差异可能是由于通风的差异,提供的服务,和应用的产品线。