Exploring Spatiotemporal Patterns of Cardiovascular Disease in Greece: Insights from the ATTICA Study (2002-2022)

Published 2024-12-06
Keywords
- cardiovascular disease,
- spatial epidemiology,
- spatial autocorrelation,
- spatial clustering,
- Attica
- Greece ...More
How to Cite
Copyright (c) 2024 Antigoni Faka, Christos Chalkias, Evangelia Damigou, Christina Chrysohoou, Fotios Barkas, Dimitris Dalmyras, Konstantina Kyrilli, Christos Pitsavos, Evangelos Liberopoulos, Costas Tsioufis, Petros P. Sfikakis, Demosthenes Panagiotakos

This work is licensed under a Creative Commons Attribution 4.0 International License.
Accepted 2024-12-06
Published 2024-12-06
Abstract
The objective of this study was to investigate spatiotemporal variability of cardiovascular disease (CVD) occurrence and identify spatial clusters on Attica region (Greece), over a 20-year period (2002-2022). The 10- and 20-year occurrence of fatal and non-fatal cardiovascular disease was obtained from the ATTICA study, which was conducted between 2002 and 2022. The sample used in this analysis included 1,935 (49,8% males) and 1,902 participants (49.5% males), respectively. CVD occurrence rate at the municipality level were mapped, and spatial autocorrelation analysis was performed to identify statistically significant clusters and outliers in the Attica region. The mapping of CVD occurrence rates revealed an observable increase in most municipalities during the observation period. In addition, a statistically significant clustering of high CVD occurrence rates was found in the most urbanized municipalities of the study area over the period under study. These findings underscore the need for targeted interventions, focusing on urban populations, to effectively address this trend.
Highlights:
- This study addresses the research gap on CVD trends in Attica, Greece, over 20 years.
- CVD rates rose notably in the most urbanized municipalities of central Athens, while suburban areas maintained lower levels.
- Positive spatial autocorrelation analysis was revealed for both the 10-year and 20-year CVD occurrence rates.
Downloads
References
- Anselin, L. (1995). Local Indicators of Spatial Association—LISA. Geographical analysis, 27(2), 93–115. https://doi.org/10.1111/j.1538-4632.1995.tb00338.x
- Backholer, K., Peters, S. A. E., Bots, S. H., Peeters, A., Huxley, R. R., & Woodward, M. (2017). Sex differences in the relationship between socioec-onomic status and cardiovascular disease: a systematic review and meta-analysis. Journal of Epidemiology and Community Health, 71(6), 550–7. https://doi.org/10.1136/jech-2016-207890
- Baptista, E. A., & Queiroz, B. L. (2022). Spatial analysis of cardiovascular mortality and associated factors around the world. BMC Public Health, 22(1), 1556. https://doi.org/10.1186/s12889-022-13955-7
- Baptista, E.A. (2024). Cardiovascular Diseases Mortality in Mexican Municipalities: A Spatio-Temporal Approach. Applied Spatial Analysis and Policy, 17(2), 637–650. https://doi.org/10.1007/s12061-023-09562-7
- Bianconi, A., Longo, G., Coa, A. A., Fiore, M., & Gori, D. (2023). Impacts of Urban Green on Cardiovascular and Cerebrovascular Diseases—A Systematic Review and Meta-Analysis. International Journal of Environmental Research and Public Health, 20(11), 5966. https://doi.org/10.3390/ijerph20115966
- Cerin, E., Chan, Y.-K., Symmons, M., Soloveva, M., Martino, E., Shaw, J. E., Knibbs, L. D., Jalaludin, B., & Barnett, A. (2024). Associations of the neighbourhood built and natural environment with cardiometabolic health indicators: A cross-sectional analysis of environmental moder-ators and behavioural mediators. Environmental Research, 240, 117524. https://doi.org/10.1016/j.envres.2023.117524
- Damigou, E., Kouvari, M., Chrysohoou, C., Barkas, F., Kravvariti, E., Pitsavos, C., Skoumas, J., Michelis, E., Liberopoulos, E., Tsioufis, C., Sfikakis, P. P., & Panagiotakos, D. B. (2023). Lifestyle Trajectories Are Associated with Incidence of Cardiovascular Disease: Highlights from the ATTICA Epidemiological Cohort Study (2002-2022). Life (Basel), 13(5), 1142. https://doi.org/10.3390/life13051142
- Dehbi, H. M., Blangiardo, M., Gulliver, J., Fecht, D., De Hoogh, K., Al-Kanaani, Z., Tillin, T., Hardy, R., Chaturvedi, N., & Hansell, A. L. (2016). Air pollution and cardiovascular mortality with over 25years follow-up: A combined analysis of two British cohorts. Environment International, 99, 275–281. https://doi.org/10.1016/j.envint.2016.12.004
- Deng, S., Liang, J., Peng, Y.,Liu, W., Su, J., & Zhu, S. (2024). Spatial analysis of the impact of urban built environment on cardiovascular diseases: a case study in Xixiangtang, China. BMC. Public Health, 24(1), 2368. https://doi.org/10.1186/s12889-024-19884-x
- Doukissas, L., Kalogirou, S., & Tsimbos, C. (2018). Spatial patterns of SMRs due to the virus A(H1N1)PDM09 during the pandemic in Greece in 2009 – 2010. European Journal of Geography, 9(2), 134–148.
- Faka, A., Chalkias, C., Georgousopoulou, E.N., Tripitsidis, A., Pitsavos, C., & Panagiotakos, D. B. (2019). Identifying determinants of obesity in Athens, Greece through global and local statistical models. Spatial and Spatio-temporal Epidemiology, 29, 31–41. https://doi.org/10.1016/j.sste.2019.02.002
- Faka, A., Kalogeropoulos, K., Maloutas, T., & Chalkias, C. (2021). Urban Quality of Life: Spatial Modeling and Indexing in Athens Metropolitan Area, Greece. ISPRS International Journal of Geo-Information, 10(5), 347. https://doi.org/10.3390/ijgi10050347
- Faka, A., Ntafla, L. M., Chalkias, C., & Panagiotakos, D. B. (2023). Geographical variation in diabetes mellitus prevalence rates in Greece. The Re-view of Diabetic Studies, 19(2), 62-70. https://doi.org/10.1900/RDS.2023.19.62
- Faka, A., Damigou, E., Chrysohoou, C., Barkas, F., Vlachopoulou, E., Dalmyras, D., Vafia, C., Michelis, E., Loukina, A., Mentzantonakis, G., Adamid-is, P. S., Anastasiou, G., Koutsogianni, A. D., Chalkias, C., Pitsavos, C., Liberopoulos, E., Tsioufis, C., Sfikakis, P. P., & Panagiotakos, D. (2023). Twenty-year incidence rates of cardiovascular disease in Greece: A geospatial analysis in the Attica study context, 2002-2022. Journal of Atherosclerosis Prevention and Treatment, 14(3), 97–102. https://doi.org/10.53590/japt.02.1050
- Ferrari, R., Ford, I., Greenlaw, N., Tardif, J. C., Tendera, M., Abergel, H., Fox, K., Hu, D., Shalnova, S., & Steg, P. G. (2015). Geographical variations in the prevalence and management of cardiovascular risk factors in outpatients with CAD: Data from the contemporary CLARIFY registry. European Journal of Preventive Cardiology, 22(8), 1056–1065. https://doi.org/10.1177/2047487314547652
- Ferreira, M., & Ferreira, M. M. (2019). Using geospatial analysis techniques for evaluating the association between socioenvironmental factors and the geographical distribution of leptospirosis in Sao Paulo, Brazil. European Journal of Geography, 10(3), 137–153.
- Frings, M., Lakes, T., Müller, D., Khan, M. M. H., Epprecht, M., Kipruto, S., Galea, S., & Gruebner, O. (2018). Modeling and mapping the burden of disease in Kenya. Scientific Reports, 8(1), 9826. https://doi.org/10.1038/s41598-018-28266-4
- Gavalas, V. S. (2018). Long-term trends and recent upturns in regional mortality variations in Greece. European Journal of Geography, 9(1), 6–22. https://eurogeojournal.eu/articles/Long-term%20trends%20and%20recent%20upturns%20in%20regional%20mortality%20variations%20in%20Greece.pdf
- Gouveia, N., Rodriguez-Hernandez, J. L., Kephart, J. L., Ortigoza, A., Betancourt, R. M., Sangrador, J. L. T., Rodriguez, D. A., Diez Roux, A. V., Sanchez, B., Yamada, G., & The SALURBAL Group. (2024). Short-term associations between fine particulate air pollution and cardiovascular and respiratory mortality in 337 cities in Latin America. Science of the Total Environment, 920, 171073. https://doi.org/10.1016/j.scitotenv.2024.171073
- Hartig, T., Mitchell, R., de Vries, S., & Frumkin, H. (2014). Nature and Health. Annual Review of Public Health, 35, 207–228. https://doi.org/10.1146/annurev-publhealth-032013-182443
- Henning, R. J. (2024). Particulate Matter Air Pollution is a Significant Risk Factor for Cardiovascular Disease. Current Problems in Cardiology, 49(1), 102094. https://doi.org/10.1016/j.cpcardiol.2023.102094
- Huang, X., Wang, Z., Lei, F., Liu, W., Lin, L., Sun, T., Cao, Y., Zhang, X., Cai, J., & Li, H. (2024). Association of urban environments with Atheroscle-rotic cardiovascular disease: A prospective cohort study in the UK Biobank. Environment International, 193, 109110. https://doi.org/10.1016/j.envint.2024.109110
- Jaber, A. S., Hussein, A. K., Kadhim, N. A., & Bojassim, A. A. (2022). A Moran’s I autocorrelation and spatial cluster analysis for identifying Corona-virus disease COVID-19 in Iraq using GIS approach. Caspian Journal of Environmental Sciences, 20(1), 55–60. https://doi.org/10.22124/cjes.2022.5392
- Jordan, G., Ridder, D., Joost, S., Vollenweider, P., Preisig, M., Marques-Vidal, P., Guessous, I., & Vaucher, J. (2024). Spatial analysis of 10-year predicted risk and incident atherosclerotic cardiovascular disease: the CoLaus cohort. Scientific Reports, 14(1), 4752. https://doi.org/10.1038/s41598-024-54900-5
- Keys, A., Aravanis, C., Blackburn, H. W., Van Buchem, F. S., Buzina, R., Djordjević, B. D., Dontas, A. S., Fidanza, F., Karvonen, M. J., Kimura, N., Lekos, D., Monti, M., Puddu, V., & Taylor, H. L. (1966). Epidemiological studies related to coronary heart disease: characteristics of men aged 40-59 in seven countries. Acta Socio-Medica Scandinavica Supplement, 460, 1–392. https://doi.org/10.1111/j.0954-6820.1966.tb04737.x
- Li, J., & Siegrist, J. (2012). Physical Activity and Risk of Cardiovascular Disease—A Meta-Analysis of Prospective Cohort Studies. International Jour-nal of Environmental Research and Public Health, 9(2), 391–407. https://doi.org/10.3390/ijerph9020391
- Liu, X. X., Ma, X. L., Huang, W. Z., Luo, Y. N., He, C. J., Zhong, X. M., Dadvand, P., Browning, M. H. E. M., Li, L., Zou, X. G., Dong, G. H., & Yang, B. Y. (2022). Green space and cardiovascular disease: a systematic review with meta-analysis. Environmental Pollution, 301, 118990. https://doi.org/10.1016/j.envpol.2022.118990
- Mena, C., Sepúlveda, C., Fuentes, E., Ormazábal, Y., & Palomo, I. (2018). Spatial analysis for the epidemiological study of cardiovascular diseases: A systematic literature search. Geospatial Health, 13(1), 11–19. https://doi.org/10.4081/gh.2018.587
- Michas, G., Karvelas, G., & Trikas, A. (2019). Cardiovascular disease in Greece, the latest evidence on risk factors. Hellenic Journal of Cardiology, 60(5), 271-275. https://doi.org/10.1016/j.hjc.2018.09.006
- Moran, P. A. P. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1-2), 17–23. https://www.jstor.org/stable/2332142
- Moulopoulos, S. D., Adamopoulos, P. N., Diamantopoulos, E. I., Nanas, S. N., Anthopoulos, L. N., & Iliadi-Alexandrou, M. (1987). Coronary heart disease risk factors in a random sample of Athenian adults. The Athens Study. American Journal of Epidemiology, 126(5), 882-92. https://doi.org/10.1093/oxfordjournals.aje.a114725
- Panagiotakos, D. B., Pitsavos, C., Chrysohoou, C., Skoumas, I., & Stefanadis, C., ATTICA Study group. (2008). Five-year incidence of cardiovascular disease and its predictors in Greece: The ATTICA study. Vascular Medicine, 13(2), 113–121. https://doi.org/10.1177/1358863x07087731
- Panagiotakos, D. B., Georgousopoulou, E. N., Pitsavos, C., Chrysohoou, C., Metaxa, V., Georgiopoulos, G. A., Kalogeropoulou, K., Tousoulis, D., Stefanadis, C., & ATTICA Study group. (2015). Ten-year (2002-2012) cardiovascular disease incidence and all-cause mortality, in urban Greek population: The ATTICA study. International Journal of Cardiology, 180, 178–184. https://doi.org/10.1016/j.ijcard.2014.11.206
- Pitsavos, C., Panagiotakos, D. B., Chrysohoou, C., & Stefanadis, C. (2003). Epidemiology of cardiovascular risk factors in Greece: Aims, design and baseline characteristics of the ATTICA study. BMC Public Health, 3, 32. https://doi.org/10.1186/1471-2458-3-32
- Rajabi, M., Mansourian, A., Pilesjö, P., Oudin Åström, D., Cederin, K., & Sundquist, K. (2018). Exploring spatial patterns of cardiovascular disease in Sweden between 2000 and 2010. Scandinavian Journal of Public Health, 46(6), 647–658. https://doi.org/10.1177/1403494818780845
- Ren, H., Wan, X., Wei, C., & Yang, G. (2019). Spatiotemporal variations in cardiovascular disease mortality in China from 1991 to 2009. BMC Car-diovascular Disorders, 19(1), 159. https://doi.org/10.1186/s12872-019-1128-x
- Roth, G. A., Mensah, G. A., Johnson, C. O., Addolorato, G., Ammirati, E., Baddour, L. M., Barengo, N. C., Beaton, A. Z., Benjamin, E. J., Benziger, C. P., Bonny, A., Brauer, M., Brodmann, M., Cahill, T. J., Carapetis, J., Catapano, A. L., Chugh, S. S., Cooper, L. T., Coresh, J.,...Fuster, V. (2020). Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study. Journal of the American College of Cardiology, 76(25), 2982–3021. https://doi.org/10.1016/j.jacc.2020.11.010
- Şener, R., & Türk, T. (2021). Spatiotemporal Analysis of Cardiovascular Disease Mortality with Geographical Information Systems. Applied Spatial Analysis and Policy, 14(4), 929–945. https://doi.org/10.1007/s12061-021-09382-7
- Seo, S., Choi, S., Kim, K., Kim, S. M., & Park, S. M. (2019). Association between urban green space and the risk of cardiovascular disease: A longi-tudinal study in seven Korean metropolitan areas. Environment International, 125, 51–57. https://doi.org/10.1016/j.envint.2019.01.038
- Smallman-Raynor, M.R., Cliff, A.D., & Stickler, P.J. (2022a). Meningococcal Meningitis and Coal Mining in Provincial England: Geographical Per-spectives on a Major Epidemic, 1929–33. Geographical Analysis, 54(1), 197–216. https://doi.org/10.1111/gean.12272
- Smallman-Raynor, M.R., Cliff, A.D., & The COVID-19 Genomics UK (COG-UK) Consortium. (2022b). Spatial growth rate of emerging SARS-CoV-2 lineages in England, September 2020-December 2021. Epidemiology and Infection, 150, e145. https://doi.org/10.1017/S0950268822001285.
- Timmis, A., Vardas, P., Townsend, N., Torbica, A., Katus, H., De Smedt, D., Gale, C. P., Maggioni, A. P., Petersen, S. E., Huculeci, R., Kazakiewicz, D., de Benito Rubio, V., Ignatiuk, B., Raisi-Estabragh, Z., Pawlak, A., Karagiannidis, E., Treskes, R., Gaita, D., Beltrame, J.F.,...Achenbach, S. (2022). European Society of Cardiology: cardiovascular disease statistics 2021. European Heart Journal, 43(8), 716–799. https://doi.org/10.1093/eurheartj/ehab892
- Tsiampalis, T., Faka, A., Psaltopoulou, T., Pitsavos, C., Chalkias, C., & Panagiotakos, D. B. (2023). The Spatial Variability of the Sex and Age- Specific 10-Year Incidence of Cardiovascular Diseases and its Clinical Risk Factors in Athens Metropolitan Area: a Local Statistical Modelling Ap-proach in the Context of the ATTICA Epidemiological Study. Applied Spatial Analysis and Policy, 16(2), 939–965. https://doi.org/10.1007/s12061-023-09508-z
- Wang, T., Li, Y., & Zheng, X. (2024). Association of socioeconomic status with cardiovascular disease and cardiovascular risk factors: a systematic review and meta-analysis. Journal of Public Health (Germany), 32(3), 385–399. https://doi.org/10.1007/s10389-023-01825-4
- Weimann, A., Dai, D., & Oni, T. (2016). A cross-sectional and spatial analysis of the prevalence of multimorbidity and its association with socioec-onomic disadvantage in South Africa: A comparison between 2008 and 2012. Social Science and Medicine, 163, 144-56. https://doi.org/10.1016/j.socscimed.2016.06.055
- Wieland, T. (2020). Flatten the curve! modeling SARS-CoV-2/COVID-19 growth in Germany at the county level. Region, 7(2), 43–83. https://doi.org/10.18335/region.v7i2.324
- Wieland, T. (2022). Spatial patterns of excess mortality in the first year of the COVID-19 pandemic in Germany. European Journal of Geography, 13(4), 18–33. https://doi.org/10.48088/ejg.t.wie.13.4.018.033
- Yang, J., Zhang, Y., Luo, L., Meng, R., & Yu, C. (2018). Global mortality burden of cirrhosis and liver cancer attributable to injection drug use, 1990–2016: An age-period-cohort and spatial autocorrelation analysis. International Journal of Environmental Research and Public Health, 15(1), 170. https://doi.org/10.3390/ijerph15010170
- Yeh, C. T., Cheng, Y. Y., & Liu, T. Y. (2020). Spatial characteristics of urban green spaces and human health: An exploratory analysis of canonical correlation. International Journal of Environmental Research and Public Health, 17(9), 3227. https://doi.org/10.3390/ijerph17093227
- Zhang, H., Yang, L., Li, L., Xu, G., & Zhang, X. (2019). The epidemic characteristics and spatial autocorrelation analysis of hand, foot and mouth disease from 2010 to 2015 in Shantou, Guangdong, China. BMC Public Health, 19(1), 998. https://doi.org/10.1186/s12889-019-7329-5
- Zhang, M., Shi, Y., Shi, O., Zhao, Z., Zhang, X., Li, C., Huang, Z., Zhao, L., Wang, L., Li, Y., & Li, X. (2020). Geographical variations in cardiovascular health in China: A nationwide population-based survey of 74,726 adults. The Lancet Regional Health – Western Pacific, 3, 100033. https://doi.org/10.1016/j.lanwpc.2020.100033