2009
DOI: 10.1007/s00038-009-0076-0
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The effect of temperature on hospital admissions in nine California counties

Abstract: Our results indicate that increases in ambient temperature have important public health impacts on morbidity.

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Cited by 226 publications
(199 citation statements)
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“…Linearity assumption for temperatures was evaluated using restricted cubic spline functions in the model. Because we found little evidence of nonlinearity for the relationship of cold and hot temperatures with mortality in both seasons, we obtained adjusted odds ratios (ORs) and associated 95% confidence intervals (CIs) for every 5°C change in temperature, 25,26 which were scaled to represent a mean percent increase in daily mortality per 5°C change for each census division. Further details on model development and linearity assumption are in Appendix 1.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Linearity assumption for temperatures was evaluated using restricted cubic spline functions in the model. Because we found little evidence of nonlinearity for the relationship of cold and hot temperatures with mortality in both seasons, we obtained adjusted odds ratios (ORs) and associated 95% confidence intervals (CIs) for every 5°C change in temperature, 25,26 which were scaled to represent a mean percent increase in daily mortality per 5°C change for each census division. Further details on model development and linearity assumption are in Appendix 1.…”
Section: Discussionmentioning
confidence: 99%
“…23 This method has commonly been used to study temperature health effects. 22,[24][25][26][27][28] Consistent with previous studies, 22,27 we selected referent periods using a time-stratified design by matching referent periods (up to 4) to the case period on the same day of the week within the same calendar month. 27 This approach inherently controls for seasonal trends and day-of-the-week effects, thus reducing potential time trend biases.…”
Section: Methodsmentioning
confidence: 99%
“…A high temperature constitutes a risk factor for the occurrence of cerebrovascular, heart and respiratory diseases; consequently, the death rate increases correspondingly, particularly among the elderly (1)(2)(3). At present, the effect of a high temperature especially the dehydration of thermal on the physiological function of human, is lacking in terms of comprehensive knowledge and understanding.…”
Section: Introductionmentioning
confidence: 99%
“…Changes in serum cholesterol levels and autonomic nervous system response has caused an increase in CVD events during temperature crises and this issue has become a concern among older people with heart problems (2). According to some studies, increase in heart diseases varies in different seasons and in hot seasons it is higher than other seasons (3,4). However, in most studies, the season that was associated with the highest rate of acute myocardial infarction (MI) was winter.…”
Section: Introductionmentioning
confidence: 99%