| Abstract |
Toxic metals such as lead, cadmium, arsenic, are present at construction worksites. From work, metals can easily, unintentionally be transported to homes of workers, contaminating living spaces and affecting others including children, known as "take-home exposure." Focus has been given to minimizing lead take-home exposure but less is known about other metals. This pilot study aims to better understand the sources and predictors of metals in the home primarily of construction workers (n = 21), but also explore other workers potentially exposed [janitorial (n = 4) and auto repair (n = 2) jobs]. Greater Boston workers were recruited in 2018-2019 through collaboration with community-based organizations and worker unions serving low-income/immigrant workers. During a home visit, a dust vacuum sample was collected, a worker questionnaire was administered, and home observations were performed to determine factors that could affect home metals concentration. Thirty elements were analyzed in the dust via inductively coupled plasma coupled to atomic emission and mass spectrometry. We performed univariable and multivariable models, potential predictive factors, and multivariable mixed-effect regression analyses combining metals. Arsenic, chromium, copper, lead, manganese, nickel, and tin, commonly found in construction, were higher in construction workers' home dust compared to other workers, although not statistically significant. Sociodemographic/work/home-related variables affected home metals dust concentrations. Various work-related factors were associated with higher metal dust levels, for example: no work locker vs. locker (nickel ratio of means or ROM = 4.2, p < 0.05); mixing vs. no mixing work/personal items (nickel ROM = 1.6, p < 0.05); dusty vs. no dusty at work (copper ROM = 3.1, p < 0.05); not washing vs. washing hands after work (manganese ROM = 1.4, p < 0.05); not changing vs. changing clothes after work (cadmium ROM = 6.9, p < 0.05; copper ROM = 3.6, p < 0.05). Mixed effect regression confirmed statistical significance, which suggests a likelihood of metal mixtures carrying a "take-home" potential. Lead home interventions should evaluate other metals exposure reduction.
|
