62
views
1
recommends
+1 Recommend
1 collections
    4
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Revisiting the “Christmas Holiday Effect” in the Southern Hemisphere

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          A “Christmas holiday effect” showing elevated cardiovascular mortality over the Christmas holidays (December 25 to January 7) was demonstrated previously in study from the United States. To separate the effect of seasonality from any holiday effect, a matching analysis was conducted for New Zealand, where the Christmas holiday period falls within the summer season.

          Methods and Results

          New Zealand mortality data for a 25‐year period (1988–2013) was analyzed based on the same methodology used in the previous study. Locally weighted smoothing was used to calculate an “expected” number of deaths for each day of the year. The expected value was compared with the actual number of deaths. In addition, mean age at death was estimated and used to assess the life‐years lost due to excess mortality. There were 738 409 deaths (197 109 coded as cardiac deaths) during the period. We found evidence of a Christmas holiday effect in our of medical facility's cardiac deaths, with an excess event rate of 4.2% (95% CI 0.7–7.7%) leading to ≈4 additional deaths per annum. The average age of those with fatal cardiac deaths was 76.8 years ( SD 13.5) during the Christmas holiday period, resulting in 148 to 222 years of life lost per annum.

          Conclusions

          Cardiac mortality is elevated during the Christmas holiday period relative to surrounding time periods. Our findings are consistent with a previously reported study conducted in the United States, suggesting that cardiac mortality does not take a “summer break.”

          Related collections

          Most cited references10

          • Record: found
          • Abstract: found
          • Article: not found

          Comparing effect sizes in follow-up studies: ROC Area, Cohen's d, and r.

          In order to facilitate comparisons across follow-up studies that have used different measures of effect size, we provide a table of effect size equivalencies for the three most common measures: ROC area (AUC), Cohen's d, and r. We outline why AUC is the preferred measure of predictive or diagnostic accuracy in forensic psychology or psychiatry, and we urge researchers and practitioners to use numbers rather than verbal labels to characterize effect sizes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Impact of two recent extreme heat episodes on morbidity and mortality in Adelaide, South Australia: a case-series analysis

            Background Extreme heatwaves occurred in Adelaide, South Australia, in the summers of 2008 and 2009. Both heatwaves were unique in terms of their duration (15 days and 13 days respectively), and the 2009 heatwave was also remarkable in its intensity with a maximum temperature reaching 45.7°C. It is of interest to compare the health impacts of these two unprecedented heatwaves with those of previous heatwaves in Adelaide. Methods Using case-series analysis, daily morbidity and mortality rates during heatwaves (≥35°C for three or more days) occurring in 2008 and 2009 and previous heatwaves occurring between 1993 and 2008 were compared with rates during all non-heatwave days (1 October to 31 March). Incidence rate ratios (IRRs) were established for ambulance call-outs, hospital admissions, emergency department presentations and mortality. Dose response effects of heatwave duration and intensity were examined. Results Ambulance call-outs during the extreme 2008 and 2009 events were increased by 10% and 16% respectively compared to 4.4% during previous heatwaves. Overall increases in hospital and emergency settings were marginal, except for emergency department presentations in 2008, but increases in specific health categories were observed. Renal morbidity in the elderly was increased during both heatwaves. During the 2009 heatwave, direct heat-related admissions increased up to 14-fold compared to a three-fold increase seen during the 2008 event and during previous heatwaves. In 2009, marked increases in ischaemic heart disease were seen in the 15-64 year age group. Only the 2009 heatwave was associated with considerable increases in total mortality that particularly affected the 15-64 year age group (1.37; 95% CI, 1.09, 1.71), while older age groups were unaffected. Significant dose-response relationships were observed for heatwave duration (ambulance, hospital and emergency setting) and intensity (ambulance and mortality). Conclusions While only incremental increases in morbidity and mortality above previous findings occurred in 2008, health impacts of the 2009 heatwave stand out. These findings send a signal that the intense and long 2009 heatwave may have exceeded the capacity of the population to cope. It is important that risk factors contributing to the adverse health outcomes are investigated to further improve preventive strategies.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Cardiac mortality is higher around Christmas and New Year's than at any other time: the holidays as a risk factor for death.

              Research published in Circulation has shown that cardiac mortality is highest during December and January. We investigated whether some of this spike could be ascribed to the Christmas/New Year's holidays rather than to climatic factors. We fitted a locally weighted polynomial regression line to daily mortality to estimate the number of deaths expected during the holiday period, using the null hypothesis that natural-cause mortality is unaffected by the Christmas/New Year's holidays. We then compared the number of deaths expected during the holiday period, given the null hypothesis, with the number of deaths observed. For cardiac and noncardiac diseases, a spike in daily mortality occurs during the Christmas/New Year's holiday period. This spike persists after adjusting for trends and seasons and is particularly large for individuals who are dead on arrival at a hospital, die in the emergency department, or die as outpatients. For this group during the holiday period, 4.65% (+/-0.30%; 95% CI, 4.06% to 5.24%) more cardiac and 4.99% (+/-0.42%; 95% CI, 4.17% to 5.81%) more noncardiac deaths occur than would be expected if the holidays did not affect mortality. Cardiac mortality for individuals who are dead on arrival, die in the emergency department, or die as outpatients peaks at Christmas and again at New Year's. These twin holiday spikes also are conspicuous for noncardiac mortality. The excess in holiday mortality is growing proportionately larger over time, both for cardiac and noncardiac mortality. Our findings suggest that the Christmas/New Year's holidays are a risk factor for cardiac and noncardiac mortality. There are multiple explanations for this association, including the possibility that holiday-induced delays in seeking treatment play a role in producing the twin holiday spikes.
                Bookmark

                Author and article information

                Contributors
                josh.knight@unimelb.edu.au
                Journal
                J Am Heart Assoc
                J Am Heart Assoc
                10.1002/(ISSN)2047-9980
                JAH3
                ahaoa
                Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease
                John Wiley and Sons Inc. (Hoboken )
                2047-9980
                22 December 2016
                December 2016
                : 5
                : 12 ( doiID: 10.1002/jah3.2016.5.issue-12 )
                : e005098
                Affiliations
                [ 1 ] Centre for Health Policy Melbourne School of Population and Global HealthThe University of Melbourne VictoriaAustralia
                [ 2 ] Section of Epidemiology & Biostatistics School of Population HealthThe University of Auckland New Zealand
                [ 3 ] School of Public Health and Social WorkQueensland University of Technology Brisbane QueenslandAustralia
                Author notes
                [*] [* ] Correspondence to: Josh Knight, BSc, Centre for Health Policy, School of Population and Global Health, University of Melbourne, 235 Bouverie St., Carlton, Melbourne, Victoria 3053 Australia. E‐mail: josh.knight@ 123456unimelb.edu.au
                Article
                JAH31968
                10.1161/JAHA.116.005098
                5210403
                28007743
                8a0dbd76-e865-4cb4-81f4-ce8780c1bb67
                © 2016 The Authors. Published on behalf of the American Heart Association, Inc., by Wiley Blackwell.

                This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 20 November 2016
                : 07 December 2016
                Page count
                Figures: 2, Tables: 2, Pages: 7, Words: 5066
                Funding
                Funded by: Australian National Health
                Funded by: Medical Research Council
                Award ID: NHMRC1084347
                Funded by: New Zealand Health Research Council
                Award ID: HRC49
                Categories
                Original Research
                Original Research
                Epidemiology
                Custom metadata
                2.0
                jah31968
                December 2016
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.0.0 mode:remove_FC converted:23.12.2016

                Cardiovascular Medicine
                christmas effect,holiday effect,seasonal mortality,seasonal variation,seasons,epidemiology,risk factors,vascular disease,mortality/survival,lifestyle

                Comments

                Comment on this article