The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Excess winter mortality in Europe: a cross country analysis identifying key risk factors
Open accessAbstract
Objective: Much debate remains regarding why certain countries experience dramatically higher winter mortality. Potential causative factors other than cold exposure have rarely been analysed. Comparatively less research exists on excess winter deaths in southern Europe. Multiple time series data on a variety of risk factors are analysed against seasonal-mortality patterns in 14 European countries to identify key relations Subjects and setting: Excess winter deaths (all causes), 1988–97, EU-14. Design: Coefficients of seasonal variation in mortality are calculated for EU-14 using monthly mortality data. Comparable, longitudinal datasets on risk factors pertaining to climate, macroeconomy, health care, lifestyle, socioeconomics, and housing were also obtained. Poisson regression identifies seasonality relations over time. Results: Portugal suffers from the highest rates of excess winter mortality (28%, CI=25% to 31%) followed jointly by Spain (21%, CI=19% to 23%), and Ireland (21%, CI=18% to 24%). Cross country variations in mean winter environmental temperature (regression coefficient (β)=0.27), mean winter relative humidity (β=0.54), parity adjusted per capita national income (β=1.08), per capita health expenditure (β=−1.19), rates of income poverty (β=−0.47), inequality (β=0.97), deprivation (β=0.11), and fuel poverty (β=0.44), and several indicators of residential thermal standards are found to be significantly related to variations in relative excess winter mortality at the 5% level. The strong, positive relation with environmental temperature and strong negative relation with thermal efficiency indicate that housing standards in southern and western Europe play strong parts in such seasonality. Conclusions: High seasonal mortality in southern and western Europe could be reduced through improved protection from the cold indoors, increased public spending on health care, and improved socioeconomic circumstances resulting in more equitable income distribution.
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Visscher, T., Seidell, J., Molarius, A., van der Kuip, D., Hofman, A., & Witteman, J. (2001) · International Journal of Obesity · doi:10.1038/sj.ijo.0801787 · Cited by 434
Housing standards and excess winter mortality: Table 1
Clinch, J. P., & Healy, J. D. (2000) · Journal of Epidemiology and Community Health · doi:10.1136/jech.54.9.719 · Cited by 97
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Cited by
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McMichael, A. J., Woodruff, R. E., & Hales, S. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68079-3 · Cited by 2,585
Health and climate change: policy responses to protect public health
Watts, N., Adger, W. N., Agnolucci, P., Blackstock, J., Byass, P., Cai, W., Chaytor, S., Colbourn, T., Collins, M., Cooper, A., et al. (2015) · The Lancet · doi:10.1016/s0140-6736(15)60854-6 · Cited by 2,055
Heat-related and cold-related deaths in England and Wales: who is at risk?
Hajat, S., Kovats, R. S., & Lachowycz, K. (2007) · Occupational and Environmental Medicine · doi:10.1136/oem.2006.029017 · Cited by 632
International study of temperature, heat and urban mortality: the “ISOTHURM” project
McMichael, A. J., Wilkinson, P., Kovats, R. S., Pattenden, S., Hajat, S., Armstrong, B., Vajanapoom, N., Niciu, E. M., Mahomed, H., Kingkeow, C., et al. (2008) · International Journal of Epidemiology · doi:10.1093/ije/dyn086 · Cited by 612
Banerjee, A., Pasea, L., Harris, S., Gonzalez-Izquierdo, A., Torralbo, A., Shallcross, L., Noursadeghi, M., Pillay, D., Sebire, N., Holmes, C., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30854-0 · Cited by 518
Metadata
- Authors
- Healy, J. D.
- Venue
- Journal of Epidemiology and Community Health
- Publisher
- BMJ
- Published
- 2003-10
- Volume
- 57
- Issue
- 10
- Pages
- 784-789
- ISSN
- 0141-7681 (ISSN-L)
- 0143-005X
- 1470-2738
- OpenAlex
- W2165251543
- Cited by
- 622
- References
- 2
- FWCI
- 8.21
- Type
- journal article
- Language
- en
- Open access
- bronze
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