Design and methods in a survey of living conditions in the Arctic - the SLiCA study.
Design and methods in a survey of living conditions in the Arctic - the SLiCA study.
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DOI：
10.3402/ijch.v71i0.17229
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发表时间：
2012-03-19
影响因子：
1.3
通讯作者：
Broderstad AR
中科院分区：
文献类型：
--
作者：
Eliassen BM;Melhus M;Kruse J;Poppel B;Broderstad AR
本研究的主要目的是描述适用于阿拉斯加、格陵兰和挪威的调查数据的北极生活条件调查(SLiCA)的方法和设计、相关参与率和参与者的分布。本文简要讨论了数据中可能存在的选择偏差，并在未来的研究中提出了解决方法。基于人口的横断面调查。居住在格陵兰、阿拉斯加和挪威传统定居区的16岁及以上的土著个人应邀参加。阿拉斯加和格陵兰采用了随机抽样方法，挪威采用了非概率抽样方法。数据收集分3个时期进行：阿拉斯加2002年1月至2003年2月；格陵兰2003年12月至2006年8月；挪威2003年和2006年6月至2008年6月。SLiCA的主要方法是使用问卷进行标准化的面对面访谈。共有663人、1197人和445人分别在阿拉斯加、格陵兰和挪威接受了采访。格陵兰和阿拉斯加的总体参与率非常高，达到83%，而挪威的参与率更高，为57%。在阿拉斯加，女性受访者占主导地位。总体而言，萨米人比来自格陵兰和阿拉斯加的人年龄更大。初步评估表明，萨米人样本中的选择偏见似乎是合理的，但并不是一个主要威胁。在阿拉斯加和格陵兰岛的数据中，几乎没有检测到对有效性的威胁。尽管抽样和招募方法不同，社会文化差异也不同，但已经产生了一个独特的数据库，该数据库将用于探索健康和其他生活条件变量之间的关系。
The main objective of this study is to describe the methods and design of the survey of living conditions in the Arctic (SLiCA), relevant participation rates and the distribution of participants, as applicable to the survey data in Alaska, Greenland and Norway. This article briefly addresses possible selection bias in the data and also the ways to tackle it in future studies. Population-based cross-sectional survey. Indigenous individuals aged 16 years and older, living in Greenland, Alaska and in traditional settlement areas in Norway, were invited to participate. Random sampling methods were applied in Alaska and Greenland, while non-probability sampling methods were applied in Norway. Data were collected in 3 periods: in Alaska, from January 2002 to February 2003; in Greenland, from December 2003 to August 2006; and in Norway, in 2003 and from June 2006 to June 2008. The principal method in SLiCA was standardised face-to-face interviews using a questionnaire. A total of 663, 1,197 and 445 individuals were interviewed in Alaska, Greenland and Norway, respectively. Very high overall participation rates of 83% were obtained in Greenland and Alaska, while a more conventional rate of 57% was achieved in Norway. A predominance of female respondents was obtained in Alaska. Overall, the Sami cohort is older than the cohorts from Greenland and Alaska. Preliminary assessments suggest that selection bias in the Sami sample is plausible but not a major threat. Few or no threats to validity are detected in the data from Alaska and Greenland. Despite different sampling and recruitment methods, and sociocultural differences, a unique database has been generated, which shall be used to explore relationships between health and other living conditions variables.