Copyright
©The Author(s) 2022.
World J Cardiol. Mar 26, 2022; 14(3): 152-169
Published online Mar 26, 2022. doi: 10.4330/wjc.v14.i3.152
Published online Mar 26, 2022. doi: 10.4330/wjc.v14.i3.152
Ref. | Setting and population | Year | Main results |
Chung et al[11] | Fifteen cities in Northeast Asia | 1972-2010 | Cold effects had longer time lags (5–11 d) than heat effects, which were immediate (1–3 d). Both cold and heat effects were more significant for cardiorespiratory mortality than for other causes of death |
Curriero et al[4] | Eleven large eastern United States cities | 1973-1994 | Current and recent days' temperatures were the weather components most strongly predictive of mortality. Mortality risk generally decreased as temperature increased from the coldest days to a certain threshold temperature, which varied by latitude, above which mortality risk increased as temperature increased. Strong association of the temperature-mortality relation with latitude, with a greater effect of colder temperatures on mortality risk in more-southern cities and of warmer temperatures in more-northern cities |
Fernández-Raga et al[18] | Castile-Leòn, Spain | 1980-1988 | Temperatures with lower death risk for patients with cardiovascular diseases (16.8°C) are apparently lower than those for patients with respiratory diseases (18.1°C) |
Achebak et al[31] | 47 major cities in Spain | 1980-2015 | Reduction in relative risks of cause-specific and cause-sex mortality across the whole range of summer temperatures |
Gemmel et al[2] | Scotland, United Kingdom | 1981-1993 | A 1°C decrease in mean temperature was associated with a 1% increase in deaths 1 wk later |
Guo et al[15] | 400 communities from 18 countries/regions | 1984-2013 | Heat waves had significant cumulative associations with mortality but varied by community. The higher the temperature threshold used to define heat waves, the higher heat wave associations on mortality. The association between heat waves and mortality appeared acutely and lasted for 3 and 4 d. Heat waves had higher associations with mortality in moderate areas than in cold and hot areas |
Gasparrini et al[22] | 305 locations in 9 countries: Australia, Canada, China, Italy, Japan, South Korea, Spain, United Kingdom, and United States | 1985-2012 | Strong evidence of a reduction in risk over the season. Relative risks for the 99th percentile versus the minimum mortality temperature were in the range of 1.15–2.03 in early summer. In late summer, the excess was substantially reduced or abated, with relative risks in the range of 0.97–1.41 |
Gasparrini et al[27] | 384 locations in Australia, Brazil, Canada, China, Italy, Japan, South Korea, Spain, Sweden, Taiwan, Thailand, United Kingdom, and United States | 1985-2012 | 7.71% (95%CI: 7.43–7.91) of mortality was attributable to non-optimum temperature in the selected countries within the study period, with substantial differences between countries, ranging from 3.37% (3.06 to 3.63) in Thailand to 11.00% (9.29 to 12.47) in China. The temperature percentile of minimum mortality varied from roughly the 60th percentile in tropical areas to about the 80–90th percentile in temperate regions |
Aylin et al[5] | Great Britain | 1986-1996 | Significant association between mortality and temperature with 1.5 higher odds of dying for every 1°C reduction in winter temperature |
The Eurowinter Group[1] | Men and women aged 50–59 and 65–74 in north Finland, south Finland, Baden-Württemburg, the Netherlands, London, and north Italy | 1988-1992 | Percentage increases in all-cause mortality per 1°C fall in temperature below 18°C were greater in warmer regions than in colder regions. High indices of cold-related mortality were associated with high mean winter temperatures (P < 0.01 for all-cause mortality and respiratory mortality; P > 0.05 for mortality from ischaemic heart disease and cerebrovascular disease) |
Rocklöv et al[30] | Stockholm, Sweden | 1990-2002 | A high rate of respiratory and cardiovascular mortality in winter reduced the heat effect the following summer. The cumulative effect per 1°C increase was 0.95% below and 0.89% above a threshold (21.3°C) after a winter with low cardiovascular and respiratory mortality, but -0.23% below and 0.21% above the threshold after a winter with high cardiovascular and respiratory mortality |
Ragettli et al[32] | Switzerland | 1995-2013 | Significant temperature-mortality relationships were found for maximal (1.15; 1.08–1.22); mean (1.16; 1.09–1.23), and minimal (1.23; 1.15–1.32) temperature. Mortality risks were higher at the beginning of the summer. Recent non-significant reduction in the effect of high temperatures on mortality |
Chen et al[10] | All deaths among residents in Ontario, Canada | 1996-2010 | In warm seasons, each 5°C increase in daily mean temperature was associated with a 2.5% increase in nonaccidental deaths (95%CI: 1.3%-3.8%) on the day of exposure (lag 0). In cold seasons, each 5°C decrease in daily temperature was associated with a 3.0% (95%CI: 1.8%-4.2%) increase in nonaccidental deaths, which persisted over 7 d. Cold-related effects were stronger for cardiovascular-related deaths (any cardiovascular death: 4.1%, 95%CI: 2.3%-5.9%; CHD: 5.8%, 95%CI: 3.6%-8.1%). Each 5°C change in daily temperature was estimated to induce 7 excess deaths per day in cold seasons and 4 excess deaths in warm seasons |
Oudin Åström et al[24] | Eastern Esthonia | 1997-2013 | Immediate increase in mortality associated with temperatures exceeding the 75th percentile of summer maximum temperatures, corresponding to approximately 23°C. This increase lasted for a couple of days |
Bell et al[21] | Mexico City, Mexico; Sao Paulo, Brazil; Santiago, Chile | 1998-2002 | Elevated temperatures (in particular same and previous day apparent temperature) are associated with mortality risk |
Chan et al[12] | Hong Kong, China | 1998-2006 | An average 18°C increase in daily mean temperature above 28.2°C was associated with a 1.8% increase in mortality. Non-cancer related causes such as cardiovascular and respiratory infection-related deaths were more sensitive to high temperature |
Xu et al[34] | Barcelona, Spain | 1999-2006 | The effect of three consecutive hot days was a 30% increase in all-cause mortality (RR = 1.30, 95%CI: 1.24-1.38) |
Guo et al[23] | Chiang Mai city, Thailand | 1999-2008 | Both hot and cold temperatures resulted in immediate increase in all mortality types and age groups. Generally, the hot effects on all mortality types and age groups were short-term, while the cold effects lasted longer. The relative risk of mortality associated with cold temperature (19.35°C, 1st centile) relative to 24.7°C (25th centile) was 1.29 (95%CI: 1.16, 1.44) for lags 0–21. The relative risk of mortality associated with high temperature (31.7°C, 99th centile) relative to 28°C (75th centile) was 1.11 (95%CI: 1.00, 1.24) for lags 0–21 |
Oudin Åström et al[24] | Population over 50 years in Rome, Italy, and Stockholm, Sweden | 2000-2008 | The percent increase in daily mortality during heat waves as compared to normal summer days was 22% (95%CI: 18%-26%) in Rome and 8% (95%CI: 3%-12%) in Stockholm |
Zafeiratou et al[8] | 42 Municipalities within the Greater Athens Area, Greece | 2000-2012 | Significant effects of daily temperature increase on all-cause, cardiovascular, and respiratory mortality (e.g., for all ages 4.16% (95%CI: 3.73%, 4.60%) per 1 C increase in daily temperature (lags 0–3) |
Fu et al[14] | India | 2001–2013 | Mortality from all medical causes, stroke, and respiratory diseases showed excess risks at moderately cold temperature and hot temperature. Moderately cold temperature was estimated to have higher attributable risks [6.3% (95% empirical CI 1.1 to 11.1) for all medical deaths, 27.2% (11.4 to 40.2) for stroke, 9.7% (3.7 to 15.3) for IHD, and 6.5% (3.5 to 9.2) for respiratory diseases] than extremely cold, moderately hot, and extremely hot temperatures |
Zeng et al[9] | 15973 elderly residents of 866 counties and cities, China | 2002-2005 | Low seasonal temperatures increase the odds of mortality |
Argaud et al[25] | Lyon, France | 2003 | Independent contribution to mortality from heatstroke if patients used long-term antihypertensive medication (HR, 2.17; 95%CI: 1.17-4.05), or presented at admission with cardiovascular failure (HR, 2.43; 95%CI: 1.14-5.17) |
Zhang et al[35] | Wuhan, China | 2003-2006 | U-shaped relationship between temperature and mortality. Cold effect was delayed, whereas hot effect was acute, both of which lasted for several days. For cold effects over lag 0–21 d, a 1°C decrease in mean temperature below cold thresholds was associated with a 2.39% (95%CI: 1.71, 3.08) increase in non-accidental mortality, 3.65% (95%CI: 2.62, 4.69) increase in cardiovascular mortality, 3.87% (95%CI: 1.57, 6.22) increase in respiratory mortality, 3.13% (95%CI: 1.88, 4.38) increase in stroke mortality, and 21.57% (95%CI: 12.59, 31.26) increase in CHD mortality. For hot effects over lag 0–7 d, a 1 °C increase in mean temperature above the hot thresholds was associated with a 25.18% (95%CI: 18.74, 31.96) increase in non-accidental mortality, 34.10% (95%CI: 25.63, 43.16) increase in cardiovascular mortality, 24.27% (95%CI: 7.55, 43.59) increase in respiratory mortality, 59.1% (95%CI: 41.81, 78.5) increase in stroke mortality, and 17.00% (95%CI: 7.91, 26.87) increase in CHD mortality |
Gómez-Acebo et al[7] | Cantabria (northern Spain) | 2003-2006 | Raising maximum or minimum temperatures by 1ºC was associated with a 2% excess in mortality risk throughout the warm period. No effect in mortality on the cold season |
Gómez-Acebo et al[17] | Cantabria (northern Spain) | 2004-2005 | The higher OR for cancer mortality was seen on the first day of exposure (OR = 4.91; 95%CI: 1.65–13.07 in the whole population). Cardiovascular (OR = 2.63; 95%CI: 1.88–3.67) and respiratory mortality (OR = 2.72; 95%CI: 1.46–5.08) showed a weaker effect |
Analitis et al[26] | 9 European cities | 2004-2010 | In the warm season, the percentage increase in all deaths from natural causes per ◦C increase in ambient temperature tended to be greater during high ozone days. For the cold period, no evidence for synergy was found. |
McMichael et al[19] | Urban populations in Delhi, Monterrey, Mexico City, Chiang Mai, Bangkok, Salvador, Sao Paulo, Santiago, Cape Town, Ljubljana, Bucharest and Sofia. | 2007 | Most cities showed a U-shaped temperature-mortality relationship, with clear evidence of increasing death rates at colder temperatures and with increasing heat. Heat thresholds were generally higher in cities with warmer climates, while cold thresholds were unrelated to climate |
Rabczenko et al[20] | Warsaw, Poland | 2008-2013 | Analysis of dependence between temperature and mortality for whole population as well as for subpopulations with respect to sex and age demonstrated its similar U-shape. Comfort varied between 20 and 24°C, with slight tendency to be higher for woman |
Can et al[13] | Istanbul, Turkey | 2013-2017 | Three extreme heat waves in summer months of 2015, 2016, and 2017, which covered 14 days in total, significantly increased the mortality rate and caused 419 excess deaths in 23 d of exposure |
Oray et al[16] | Izmir province, Turkey | 2016 | During the study period, the mean number of ED visits and mortality rates were significantly higher than the previous year's same period [320 ± 30/d vs 269 ± 27/d, (P < 0.01), and 1.6% vs 0.7%, (P < 0.01)]. Although the admission rate was similar between the study period and the other 21 d of June 2016 [320 ± 30/d vs 310 ± 32/d, (P = 0.445)] in-hospital mortality rate was significantly higher [1.6% vs 0.7%, (P < 0.01)] |
- Citation: Abrignani MG, Lombardo A, Braschi A, Renda N, Abrignani V. Climatic influences on cardiovascular diseases. World J Cardiol 2022; 14(3): 152-169
- URL: https://www.wjgnet.com/1949-8462/full/v14/i3/152.htm
- DOI: https://dx.doi.org/10.4330/wjc.v14.i3.152