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[Skewed income distribution and geographical mortality differences].
Tidsskr Nor Laegeforen. 2005 Nov 17; 125(22):3082-4.TN

Abstract

BACKGROUND

A prominent theme in current health research is whether large income inequality in a society in itself has negative consequences for population health, in addition to the effects of individual risk factors. The present study investigates whether mortality in Norway during the 1990s was higher in geographical regions with particularly skewed income distributions.

MATERIAL AND METHODS

Register data for all inhabitants aged 25-66 in Norway in 1992 were used (N = approx. 2.2 millions), including information about deaths 1993-99. Norwegian municipalities were grouped into 23 regions. Gini coefficients indicating the degree of inequality in the income distribution were calculated for each region. Deaths 1993-99 were analysed by means of multiple logistic regression.

RESULTS

Odds ratios for deaths 1993-99 were strongly influenced by well-known individual risk factors such as sex, age, marital status, educational level, personal income, and disability. In addition, odds ratios for death were significantly associated with the regions' gini coefficients when adjustments were made for average income level in the regions. This effect of income inequality was pronounced for people with low education, but almost absent among those with higher education. Moreover, the income inequality effect was to some extent driven by special circumstances in Oslo, Norway's capital city, with its high mortality among the less educated and a particularly non-egalitarian income distribution. However, the pattern of higher mortality associated with higher levels of income inequality among the less educated was also observed in the 22 regions outside Oslo.

INTERPRETATION

We found a discernible, although not very strong, association between regional income inequality and mortality levels among the less educated. Several interpretations for this statistical tendency could be proposed; the social processes generating this tendency should be clarified further.

Authors+Show Affiliations

NOVA-Norsk institutt for forskning om oppvekst, velferd og aldring, Postboks 3223 Elisenberg, 0208 Oslo. jon.i.elstad@nova.noNo affiliation info availableNo affiliation info available

Pub Type(s)

English Abstract
Journal Article

Language

nor

PubMed ID

16299558

Citation

Elstad, Jon Ivar, et al. "[Skewed Income Distribution and Geographical Mortality Differences]." Tidsskrift for Den Norske Laegeforening : Tidsskrift for Praktisk Medicin, Ny Raekke, vol. 125, no. 22, 2005, pp. 3082-4.
Elstad JI, Dahl E, Hofoss D. [Skewed income distribution and geographical mortality differences]. Tidsskr Nor Laegeforen. 2005;125(22):3082-4.
Elstad, J. I., Dahl, E., & Hofoss, D. (2005). [Skewed income distribution and geographical mortality differences]. Tidsskrift for Den Norske Laegeforening : Tidsskrift for Praktisk Medicin, Ny Raekke, 125(22), 3082-4.
Elstad JI, Dahl E, Hofoss D. [Skewed Income Distribution and Geographical Mortality Differences]. Tidsskr Nor Laegeforen. 2005 Nov 17;125(22):3082-4. PubMed PMID: 16299558.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Skewed income distribution and geographical mortality differences]. AU - Elstad,Jon Ivar, AU - Dahl,Espen, AU - Hofoss,Dag, PY - 2005/11/22/pubmed PY - 2005/12/13/medline PY - 2005/11/22/entrez SP - 3082 EP - 4 JF - Tidsskrift for den Norske laegeforening : tidsskrift for praktisk medicin, ny raekke JO - Tidsskr Nor Laegeforen VL - 125 IS - 22 N2 - BACKGROUND: A prominent theme in current health research is whether large income inequality in a society in itself has negative consequences for population health, in addition to the effects of individual risk factors. The present study investigates whether mortality in Norway during the 1990s was higher in geographical regions with particularly skewed income distributions. MATERIAL AND METHODS: Register data for all inhabitants aged 25-66 in Norway in 1992 were used (N = approx. 2.2 millions), including information about deaths 1993-99. Norwegian municipalities were grouped into 23 regions. Gini coefficients indicating the degree of inequality in the income distribution were calculated for each region. Deaths 1993-99 were analysed by means of multiple logistic regression. RESULTS: Odds ratios for deaths 1993-99 were strongly influenced by well-known individual risk factors such as sex, age, marital status, educational level, personal income, and disability. In addition, odds ratios for death were significantly associated with the regions' gini coefficients when adjustments were made for average income level in the regions. This effect of income inequality was pronounced for people with low education, but almost absent among those with higher education. Moreover, the income inequality effect was to some extent driven by special circumstances in Oslo, Norway's capital city, with its high mortality among the less educated and a particularly non-egalitarian income distribution. However, the pattern of higher mortality associated with higher levels of income inequality among the less educated was also observed in the 22 regions outside Oslo. INTERPRETATION: We found a discernible, although not very strong, association between regional income inequality and mortality levels among the less educated. Several interpretations for this statistical tendency could be proposed; the social processes generating this tendency should be clarified further. SN - 0807-7096 UR - https://www.unboundmedicine.com/medline/citation/16299558/[Skewed_income_distribution_and_geographical_mortality_differences]_ DB - PRIME DP - Unbound Medicine ER -