Which Sami? Sami inclusion criteria in population-based studies of Sami health and living conditions in Norway - an exploratory study exemplified with data from the SAMINOR study
被引:20
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作者:
Pettersen, Torunn
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Univ Tromso, Dept Community Med, Ctr Sami Hlth Res, N-9001 Tromso, Norway
Sami Univ Coll, Dept Social Sci, Guovdageaidnu Kautokeino, NorwayUniv Tromso, Dept Community Med, Ctr Sami Hlth Res, N-9001 Tromso, Norway
Pettersen, Torunn
[1
,2
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Brustad, Magritt
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Univ Tromso, Dept Community Med, Ctr Sami Hlth Res, N-9001 Tromso, NorwayUniv Tromso, Dept Community Med, Ctr Sami Hlth Res, N-9001 Tromso, Norway
Brustad, Magritt
[1
]
机构:
[1] Univ Tromso, Dept Community Med, Ctr Sami Hlth Res, N-9001 Tromso, Norway
[2] Sami Univ Coll, Dept Social Sci, Guovdageaidnu Kautokeino, Norway
Background. In a situation where national censuses do not record information on ethnicity, studies of the indigenous Sami people's health and living conditions tend to use varying Sami inclusion criteria and categorizations. Consequently, the basis on which Sami study participants are included and categorized when Sami health and living conditions are explored and compared differs. This may influence the results and conclusions drawn. Objective. To explore some numerical consequences of applying principles derived from Norway's Sami Act as a foundation for formalized inclusion criteria in population-based Sami studies in Norway. Design. We established 1 geographically based (G1) and 3 individual-based Sami example populations (I1-I3) by applying diverse Sami inclusion criteria to data from 17 rural municipalities in Norway north of the Arctic Circle. The data were collected for a population-based study of health and living conditions in 2003-2004 (the SAMINOR study). Our sample consisted of 14,797 participants aged 36-79 years. Results. The size of the individual-based populations varied significantly. I1 (linguistic connection Sami) made up 35.5% of the sample, I2 (self-identified Sami) made up 21.0% and I3 (active language Sami) 17.7%. They were also noticeably unevenly distributed between the 5 Sami regions defined for this study. The differences for the other characteristics studied were more ambiguous. For the population G1 (residents in the Sami language area) the only significant difference found between the Sami and the corresponding non-Sami population was for household income (OR = 0.69, 95% CI: 0.63-0.74). For the populations I1-I3 there were significant differences on all measures except for I2 and education (OR = 1.09, 95% CI: 0.99 1.21). Conclusions. The choice of Sami inclusion criterion had a clear impact on the size and geographical distribution of the defined populations but lesser influence on the selected characteristics for the Sami populations relative to the respective non-Sami ones.
机构:
Umea Univ, Dept Epidemiol & Global Hlth, Lavvuo Res & Educ Sami Hlth, SE-90187 Umea, Sweden
UiT Arctic Univ Norway, Ctr Sami Hlth Res, Dept Community Med, Tromso, NorwayUmea Univ, Dept Epidemiol & Global Hlth, Lavvuo Res & Educ Sami Hlth, SE-90187 Umea, Sweden
Stoor, Jon Petter A.
San Sebastian, Miguel
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Umea Univ, Dept Epidemiol & Global Hlth, Lavvuo Res & Educ Sami Hlth, SE-90187 Umea, SwedenUmea Univ, Dept Epidemiol & Global Hlth, Lavvuo Res & Educ Sami Hlth, SE-90187 Umea, Sweden