Swine production intensity and swine-specific fecal contamination of household surfaces at residences of industrial livestock operation workers and community residents, North Carolina, USA

IF 8.2 1区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Science of the Total Environment Pub Date : 2025-05-27 DOI:10.1016/j.scitotenv.2025.179591

Kathleen M. Kurowski , Nora Pisanic , Kristoffer Spicer , Kate Kruczynski , Carolyn Gigot , Devon J. Hall Jr , Devon J. Hall Sr , Kyle T. Aune , Bonita Salmerón , Ana M. Rule , Christopher D. Heaney

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引用次数: 0

Abstract

In North Carolina (NC), industrial livestock operations (ILOs) that produce swine concentrate fecal waste in lagoons and sprayfields, which are disproportionately located in low-income communities of color. Although swine-specific fecal contamination of surface waters proximal to swine ILOs has been documented, less is known about contamination of homes proximal to swine ILOs. Up to 6 outdoor and 6 indoor surface settled dust samples were collected from households: 1) with >= 1 ILO worker (ILO-W); 2) neighboring ILOs without occupational exposure to livestock (ILO-N); and 3) in metropolitan areas of NC (Metro). Using quantitative real-time PCR, the DNA copy number of Pig-2-Bac, a swine-specific fecal microbial source tracking (MST) marker, per square inch of household surfaces sampled was measured. We used permits of swine ILOs and steady state live weight to assign swine production intensity (SPI) exposure values to each household. We estimated associations between household group (Metro as reference), outdoor versus indoor household surface, and log₁₀ SPI with Pig-2-Bac DNA detection frequency (logistic) and quantity (linear) via regression modeling. Prevalence of household Pig-2-Bac positivity was 38 % (40/105) at ILO-W (159/536 swabs; 30 %); 44 % (47/107) at ILO-N (142/557 swabs; 25 %), and 1 % (1/81) at Metro (1/321 swabs; 1 %) households. Pig-2-Bac DNA was detected more often (odds ratio [OR] = 2.2; 95 % confidence interval [CI] = 1.6, 3.0) and in higher quantity (β = 0.30; 95 % CI = 0.19, 0.41) on outdoor compared to indoor surfaces. For every log₁₀ unit increase in SPI, the Pig-2-Bac DNA detection frequency (OR = 5.4; 95 % CI = 2.8, 10.4) and quantity (β = 0.21; 95 % CI = 0.13, 0.29) increased. Results demonstrate the utility of Pig-2-Bac DNA measurement in household surface dust and suggest that swine ILOs contribute to the contamination of NC community residents' households with swine fecal material.

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美国北卡罗来纳州，工业化畜牧业工人和社区居民住宅的养猪生产强度和猪特有的粪便污染

在北卡罗来纳州（NC），在泻湖和喷溅地生产猪粪的工业化畜牧业（ilo）不成比例地分布在有色人种的低收入社区。虽然已经记录了靠近猪感染点的地表水中特定的猪粪便污染，但对靠近猪感染点的房屋污染知之甚少。从家庭中收集了多达6个室外和6个室内表面沉降尘埃样本：1)有>；= 1名ILO工人（ILO- w）；2)没有职业接触家畜的邻近ilo (ILO-N)；3)在NC （Metro）的大都市区。采用实时荧光定量PCR技术，测量每平方英寸家庭表面样品中猪特异性粪便微生物源追踪（MST）标记物Pig-2-Bac的DNA拷贝数。我们使用猪的ilo和稳态活重许可证来分配每个家庭的猪生产强度（SPI）暴露值。我们通过回归模型估计了家庭组（Metro作为参考）、室外与室内家庭表面以及log10 SPI与猪-2- bac DNA检测频率（逻辑）和数量（线性）之间的关联。在ILO-W（159/536）拭子中，家庭猪-2- bac阳性的患病率为38% (40/105)；30%);ILO-N（142/557拭子）44% (47/107)；Metro（1/321拭子）为1% (1/81)；1%)家庭。猪-2- bac DNA检测频率更高(优势比[OR] = 2.2；95%置信区间[CI] = 1.6, 3.0)和更高数量(β = 0.30；95% CI = 0.19, 0.41)。SPI每增加log10单位，猪-2- bac DNA检测频率(OR = 5.4；95% CI = 2.8, 10.4)和数量(β = 0.21；95% CI = 0.13, 0.29)增高。结果表明，猪-2- bac DNA测量在家庭表面灰尘中的实用性，并表明猪ILOs是NC社区居民家庭受到猪粪便污染的原因之一。

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来源期刊

Science of the Total Environment 环境科学-环境科学

CiteScore

17.60

自引率

10.20%

发文量

8726

审稿时长

2.4 months

期刊介绍： The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere. The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.