| Literature DB >> 22043216 |
Peter Sköld1, Per Axelsson, Lena Karlsson, Len Smith.
Abstract
UNLABELLED: The study deals with infant mortality (IMR) that is one of the most important aspects of indigenous vulnerability.Entities:
Keywords: Sami; indigenous; infant mortality; parity, demography; seasonality; vulnerability
Mesh:
Year: 2011 PMID: 22043216 PMCID: PMC3204212 DOI: 10.3402/gha.v4i0.8441
Source DB: PubMed Journal: Glob Health Action ISSN: 1654-9880 Impact factor: 2.640
Working sample and missing cases
| Jokkmokk | Jukkasjärvi | Föllinge | |
|---|---|---|---|
| Sample | 10,808 | 9,630 | 9,368 |
| Working samplea | 9,813 | 8,439 | 8,557 |
| Missing cases | |||
| Unknown date of birth and/or Not born in the parish | 3,247 | 1,888 | 2,873 |
| Total working sample | 6,566 | 6,551 | 5,684 |
aIndividuals born in 1750–1895.
Source: Demographic database, Umeå University.
Fig. 1Map of Sweden, including the parishes of Jukkasjärvi, Jokkmokk, and Föllinge. Source: Demographic database, Umeå University.
Fig. 2Sami infant mortality in Jukkasjärvi, Jokkmokk, Föllinge, and Sweden in 1751–1895.
Infant mortality (per 1000) in Jukkasjärvi, Jokkmokk, and Föllinge in 1750–1899
| 1750–1799 | 1800–1849 | 1850–1899 | Total | N | |
|---|---|---|---|---|---|
| Jukkasjärvi | |||||
| Sami | 64 | 233 | 136 | 152 | 4,803 |
| Non-Sami | 47 | 123 | 155 | 138 | 1,740 |
| Jokkmokk | |||||
| Sami | 206 | 175 | 161 | 176 | 3,245 |
| Non-Sami | 95 | 97 | 117 | 111 | 3,321 |
| Föllinge | |||||
| Sami | 24 | 110 | 71 | 74 | 808 |
| Non-Sami | 79 | 65 | 79 | 75 | 4,876 |
Source: Demographic database, Umeå University.
Male and female infant mortality (per 1000) in Jukkasjärvi, Jokkmokk, and Föllinge 1750–1899
| Male | Female | Total | N | |
|---|---|---|---|---|
| Jukkasjärvi | ||||
| Sami | 165 | 139 | 152 | 4,800 |
| Non-Sami | 146 | 130 | 138 | 1,738 |
| Jokkmokk | ||||
| Sami | 190 | 163 | 176 | 3,242 |
| Non-Sami | 118 | 104 | 111 | 3,321 |
| Föllinge | ||||
| Sami | 84 | 66 | 74 | 799 |
| Non-Sami | 75 | 75 | 75 | 4,875 |
Source: Demographic database, Umeå University.
Infant mortality (per 1000) after parity in Jukkasjärvi, Jokkmokk, and Föllinge 1750–1899
| Birth order | 1 | 2–4 | 5+ | Total | N |
|---|---|---|---|---|---|
| Jukkasjärvi | |||||
| Sami | 151 | 120 | 192 | 152 | 4,803 |
| Non-Sami | 166 | 105 | 156 | 138 | 1,740 |
| Jokkmokk | |||||
| Sami | 184 | 156 | 200 | 176 | 3,245 |
| Non-Sami | 151 | 97 | 99 | 111 | 3,321 |
| Föllinge | |||||
| Sami | 71 | 56 | 113 | 74 | 808 |
| Non-Sami | 82 | 61 | 90 | 75 | 4,876 |
Source: Demographic database, Umeå University.
Cox regression of infant mortality in Jokkmokk, Jukkasjärvi, and Föllinge, 1800–1899
| Jokkmokk | Jukkasjärvi | Föllinge | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| 1800–1849 | 1850–1899 | 1800–1849 | 1850–1899 | 1800–1899 | ||||||
| eβ | eβ | eβ | eβ | eβ | ||||||
| Ethnicity | ||||||||||
| Non-Sami | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||
| Sami | 1.88 | 0.000 | 1.42 | 0.000 | 1.98 | 0.000 | 0.87 | 0.157 | 1.66 | 0.002 |
| Sex | ||||||||||
| Female | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||
| Male | 1.06 | 0.598 | 1.21 | 0.036 | 1.40 | 0.001 | 1.13 | 0.185 | 1.08 | 0.446 |
| Birth order | ||||||||||
| 1 | 1.09 | 0.583 | 1.40 | 0.004 | 0.75 | 0.032 | 1.12 | 0.345 | 0.89 | 0.360 |
| 2–4 | 0.76 | 0.055 | 0.89 | 0.277 | 0.63 | 0.000 | 0.72 | 0.004 | 0.65 | 0.000 |
| >5 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||
| Birth season | ||||||||||
| January–March | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 | |||||
| April–June | 0.94 | 0.689 | 0.90 | 0.405 | 1.09 | 0.521 | 1.04 | 0.757 | 0.72 | 0.017 |
| July–September | 0.98 | 0.892 | 0.96 | 0.777 | 0.90 | 0.438 | 1.03 | 0.801 | 0.70 | 0.013 |
| October–December | 1.02 | 0.909 | 1.08 | 0.547 | 0.95 | 0.682 | 1.02 | 0.883 | 0.80 | 0.113 |
| Birth period | ||||||||||
| 1800–1849 | 1.00 | |||||||||
| 1850–1899 | 1.14 | 0.277 | ||||||||
| Deaths (n) | 288 | 479 | 433 | 445 | 374 | |||||
| Likelihood ratio | 29.2 | 37.7 | 55.6 | 18.4 | 31.5 | |||||
| Df | 7 | 7 | 7 | 7 | 8 | |||||
| Overall | 0.000 | 0.000 | 0.000 | 0.010 | 0.000 | |||||
Note: eβ is the relative risk, p is the p-value for each parameter in the model.