Heat-related cardiovascular mortality risk in Cyprus: a case-crossover study using a distributed lag non-linear model

Abstract Background: This study aimed to estimate hospitalization risk/number attributed to air extreme temperatures using time-stratified case crossover study and distributed lag non-linear model in a region of Iran during 2015-2019.Methods: A time-stratified case crossover design based on aggregated exposure data was used in this study. In order to have no overlap bias in the estimations, a fixed and disjointed window by using one-month strata was used in the design. A conditional Poisson regression model allowing for over dispersion (Quasi-Poisson) was applied into Distributed Lag Non-linear Model (DLNM). Different approaches were applied to estimate Optimum Temperature (OT). In the model, the interaction effect between temperature and humidity was assessed to see if the impact of heat or cold on Hospital Admissions (HAs) are different between different levels of humidity.Results: The cumulative effect of heat during 21 days was not significant and it was the cold that had significant cumulative adverse effect on all groups. While the number of HAs attributed to any ranges of heat, including medium, high, extreme and even all values were negligible, but a large number was attributable to cold values; about 10000 HAs were attributable to all values of cold temperature, of which about 9000 were attributed to medium range and about 1000 and less than 500 were attributed to high and extreme values of cold, respectively.Conclusion: This study highlights the need for interventions in cold seasons by policymakers. The results inform researchers as well as policy makers to address both men and women and elderly when any plan or preventive program is developed in the area under study.

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Air pollution is associated with primary health care visits for asthma in Sweden: A case-crossover design with a distributed lag non-linear model

Spatial and Spatio-temporal Epidemiology ◽

10.1016/j.sste.2016.04.010 ◽

2016 ◽

Vol 17 ◽

pp. 37-44 ◽

Cited By ~ 11

Author(s):

Tahir Taj ◽

Kristina Jakobsson ◽

Emilie Stroh ◽

Anna Oudin

Keyword(s):

Health Care ◽

Air Pollution ◽

Primary Health Care ◽

Linear Model ◽

Crossover Design ◽

Distributed Lag ◽

Case Crossover ◽

Primary Health ◽

Non Linear

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Temperature and Cardiovascular Mortality Associations in Four Southern Chinese Cities: A Time-Series Study Using a Distributed Lag Non-Linear Model

Sustainability ◽

10.3390/su9030321 ◽

2017 ◽

Vol 9 (3) ◽

pp. 321 ◽

Cited By ~ 4

Author(s):

Jixia Huang ◽

Jing Tan ◽

Weiwei Yu

Keyword(s):

Time Series ◽

Linear Model ◽

Cardiovascular Mortality ◽

Chinese Cities ◽

Time Series Study ◽

Distributed Lag ◽

Southern Chinese ◽

Non Linear ◽

Series Study

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The role of extreme temperature in cause-specific acute cardiovascular mortality in Switzerland: a case-crossover study

The Science of The Total Environment ◽

10.1016/j.scitotenv.2021.147958 ◽

2021 ◽

pp. 147958

Author(s):

Apolline Saucy ◽

Martina S. Ragettli ◽

Danielle Vienneau ◽

Kees de Hoogh ◽

Louise Tangermann ◽

...

Keyword(s):

Crossover Study ◽

Cardiovascular Mortality ◽

Extreme Temperature ◽

Case Crossover

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Leisure-Time Running Reduces All-Cause and Cardiovascular Mortality Risk

Journal of the American College of Cardiology ◽

10.1016/j.jacc.2014.04.058 ◽

2014 ◽

Vol 64 (5) ◽

pp. 472-481 ◽

Cited By ~ 359

Author(s):

Duck-chul Lee ◽

Russell R. Pate ◽

Carl J. Lavie ◽

Xuemei Sui ◽

Timothy S. Church ◽

...

Keyword(s):

Mortality Risk ◽

Cardiovascular Mortality ◽

Leisure Time ◽

Cardiovascular Mortality Risk

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Relationship between Cardiovascular Disease Risk and Neck Circumference Shown in the Systematic Coronary Risk Estimation (SCORE) Risk Model

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph182010763 ◽

2021 ◽

Vol 18 (20) ◽

pp. 10763

Author(s):

Serkan Asil ◽

Ender Murat ◽

Hatice Taşkan ◽

Veysel Özgür Barış ◽

Suat Görmel ◽

...

Keyword(s):

Mortality Risk ◽

Cardiovascular Mortality ◽

Risk Model ◽

Disease Risk ◽

Neck Circumference ◽

Anthropometric Measurements ◽

Cvd Risk ◽

Cardiovascular Mortality Risk ◽

Very High ◽

Score Risk

Introduction: The most important way to reduce CVD-related mortality is to apply appropriate treatment according to the risk status of the patients. For this purpose, the SCORE risk model is used in Europe. In addition to these risk models, some anthropometric measurements are known to be associated with CVD risk and risk factors. Objectives: This study aimed to investigate the association of these anthropometric measurements, especially neck circumference (NC), with the SCORE risk chart. Methods: This was planned as a cross-sectional study. The study population were classified according to their SCORE risk values. The relationship of NC and other anthropometric measurements with the total cardiovascular risk indicated by the SCORE risk was investigated. Results: A total of 232 patients were included in the study. The patients participating in the study were analysed in four groups according to the SCORE ten-year total cardiovascular mortality risk. As a result, the NC was statistically significantly lower among the SCORE low and moderate risk group than all other SCORE risk groups (low-high and very high 36(3)–38(4) (IQR) p: 0.026, 36(3)–39(4) (IQR) p < 0.001, 36(3)–40(4) (IQR) p < 0.001), (moderate-high and very high 38(4) vs. 39(4) (IQR) p: 0.02, 38(4) vs. 40(4) (IQR) p < 0.001, 39(4) vs. 40(4) (IQR) p > 0.05). NC was found to have the strongest correlation with SCORE than the other anthropometric measurements. Conclusions: Neck circumference correlates strongly with the SCORE risk model which shows the ten-year cardiovascular mortality risk and can be used in clinical practice to predict CVD risk.

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