Deaths and major biographical events: a study of all cancer deaths in Germany from 1995 to 2009

Cancer Doesn't Know the Day of the Week: Temporal Trends in Day of Death

Studies support the existence of psychosomatic phenomena that enable critically ill patients to postpone death until a specific event. We assessed for this effect in cancer by examining variability in deaths at the month and weekend levels using the National Center for Health Statistics database. We found that deaths from cancer were not uniformly distributed temporally. There was a relative 3.3% difference death rate between the peak on Saturday and nadir on Monday, and relative 10.2% difference in rate of death between the peak of deaths in January and nadir in February. The "weekend effect" could be present in 1 in 200 cancer deaths and the "holiday effect" in 1 in 100 cancer deaths. Temporal variation may reflect a small portion of patients are able to "hold on" for a limited amount of time. This uneven distribution of cancer deaths highlights the importance of improving communication and facilitating end-of-life discussions.

Seasonal variation of cancer mortality in Hungary between 1984 and 2013

Aims: Despite decreasing trends, Hungary is the leader in cancer mortality among European countries. We examined the seasonal variation of cancer mortality in Hungary between 1984 and 2013. Methods: Hungarian monthly cancer mortality and population data were used in the analysis. The Walter-Elwood method was used to determine seasonal variation in both mortality rates and proportionate mortality. Results: Significant winter-peak seasonality was found in all-cancer mortality. A similar seasonal trend with a peak from November to January was observed in death rates from colorectal, lung, female breast, prostate, bladder, brain, lymphoid and hematopoietic cancers. However, no more cyclical variation was identified in the mortality rates from other cancers. In addition, significant seasonal variation in proportionate mortality was shown for all cancer sites examined, with a peak in August or September. Conclusions: This study presents the seasonality pattern of different types of cancer mortality which might be related to environmental factors (e.g. infections).