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Issues In Evaluating Fish Consumption Rates For Native American Tribes

机译:评估美洲原住民部落的鱼类消费率的问题

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摘要

The environmental health goals of many Native American tribes are to restore natural resources and ensure that they are safe to harvest and consume in traditional subsistence quantities. Therefore, it is important to tribes to accurately estimate risks incurred through the consumption of subsistence foods. This article explores problems in conventional fish consumption survey methods used in widely cited tribal fish consumption reports. The problems arise because of the following: (1) widely cited reports do not clearly state what they intend to do with the data supporting these reports, (2) data collection methods are incongruent with community norms and protocols, (3) data analysis methods omit or obscure the highest consumer subset of the population, (4) lack of understanding or recognition of tribal health co-risk factors, and (5) restrictive policies that do not allow inclusion of tribal values within state or federal actions. In particular, the data collection and analysis methods in current tribal fish consumption surveys result in the misunderstanding that tribal members are satisfied with eating lower contemporary amounts of fish and shellfish, rather than the subsistence amounts that their cultural heritage and aboriginal rights indicate. A community-based interview method developed in collaboration with and used by the Swinomish Tribe is suggested as a way to gather more accurate information on contemporary consumption rates. For traditional subsistence rates, a multidisciplinary reconstruction method is recommended.
机译:许多美洲原住民部落的环境健康目标是恢复自然资源,并确保以传统的生存方式安全地进行采集和消费。因此,对部落来说,准确估计因食用自给性食品而引起的风险非常重要。本文探讨了被广泛引用的部落鱼类消费报告中使用的常规鱼类消费调查方法中的问题。这些问题的产生是由于以下原因:(1)被广泛引用的报告没有明确说明它们打算如何使用支持这些报告​​的数据;(2)数据收集方法与社区规范和协议不一致;(3)数据分析方法忽略或掩盖人口中最高的消费者子群;(4)对部落健康共同风险因素缺乏了解或认识;(5)不允许将部落价值观纳入州或联邦行动的限制性政策。特别是,当前部落鱼类消费调查中的数据收集和分析方法导致误解,即部落成员对食用较少的当代鱼类和贝类感到满意,而不是其文化遗产和土著权利所表明的生存量。建议与Swinomish部落合作开发并由Swinomish部落使用的基于社区的采访方法,以收集有关当代消费率的更准确信息。对于传统的生存率,建议采用多学科重建方法。

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