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 Approach in the Context of the ATTICA Epidemiological Study

被引:0
作者
Thomas Tsiampalis
Antigoni Faka
Theodora Psaltopoulou
Christos Pitsavos
Christos Chalkias
Demosthenes B. Panagiotakos
机构
[1] Harokopio University,Department of Nutrition and Dietetics, School of Health Sciences and Education
[2] Harokopio University,Department of Geography, School of Environment, Geography and Applied Economics
[3] University of Athens,Department of Hygiene, Epidemiology and Medical Statistics, School of Medicine
[4] University of Athens,School of Medicine
[5] University of Canberra,Faculty of Health
来源
Applied Spatial Analysis and Policy | 2023年 / 16卷
关键词
Cardiovascular disease; Sex-specific CVD incidence; Age-specific CVD incidence; Spatial epidemiology; Geographically weighted linear regression analysis;
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学科分类号
摘要
According to the published European public health policies, emphasis should be given on the identification of high-risk areas, in terms of both Cardiovascular Diseases (CVDs) incidence, as well as of its main clinical risk factors. Thus, we aimed to investigate: (a) the geographical variability of the sex and age-specific 10-year incidence of CVDs and its clinical risk factors in the Athens metropolitan area, the most urbanised city in Greece accounting for about 35% of the total Greek population, and (b) the spatial heterogeneity of the association between the main clinical risk factors and the 10-year CVD incidence at an aggregated level. Data regarding the 10-year CVD incidence (% of population in each municipality with any CVD after the 10-year period), as well as the prevalence of the risk factors (obesity, hypertension, diabetes mellitus, hypercholesterolaemia; expressed as % of population in each municipality) were provided by the ATTICA epidemiological study for 2020 individuals found during the 10-year follow-up with complete data for locality geocoding. Socio-economic, demographic, and environmental characteristics for each municipality of the Attica region, were obtained from official national and international databases. A local statistical modelling approach, namely the Geographically Weighted Regression, was implemented in order to investigate the associations at a local level and therefore give emphasis on the design of more effective public health programs, taking into account the special characteristics of each area. Hypercholesterolaemia was found to be the most prevalent clinical risk factor in the study area, while higher prevalence for all the risk factors were presented in areas of lower socioeconomic status (SES), where a significantly higher number of new CVD cases in the decade were detected as well. 10-year CVD incidence was also found to be significantly elevated in areas characterized by worse health status in terms of the risk factors’ prevalence, while the sex and age- specific CVD incidence rates were found to be differently affected by these factors. Interestingly, despite the fact that CVDs are acknowledged as a man’s disease, areas of higher (South & North) and moderate (East) SES were found to be characterized by higher CVD incidence rates in females, while in areas of lower SES (West), higher CVD incidence rates were found in males. In line with the current European policy, the identification of areas where the intensity of the studied associations is stronger, can be considered a crucial methodological aspect for the design and implementation of more effective CVD prevention programs at the community level.
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页码:939 / 965
页数:26
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[1]  
Abuya T(2010)Importance of strategic management in the implementation of private medicine retailer programmes: Case studies from three districts in Kenya BMC Health Services Research 10 S7-93
[2]  
Amin A(2016)Exploring spatial patterns in the associations between local AIDS incidence and socioeconomic and demographic variables in the state of Rio de Janeiro, Brazil Spatial and Spatio-temporal Epidemiology 17 85-25
[3]  
Molyneux S(2010)Thirty years of spatial econometrics Papers in Regional Science 89 3-557
[4]  
Akhwale W(2021)Spatial analysis of ambient air pollution and cardiovascular disease (CVD) hospitalization across Sweden GeoHealth 5 e2020GH000323-403
[5]  
Marsh V(2017)Sex differences in the relationship between socioeconomic status and cardiovascular disease: A systematic review and meta-analysis Journal of Epidemiology and Community Health 71 550-1079
[6]  
Gilson L(2005)Lipoprotein-associated inflammatory proteins: Markers or mediators of cardiovascular disease Journal of Lipid Research 46 389-158
[7]  
Alves AT(2012)Obesity and socioeconomic status in developing countries: A systematic review Obesity Reviews 13 1067-389
[8]  
Nobre FF(2011)Socioeconomic position and type 2 diabetes mellitus in Europe 1999-2009: A panorama of inequalities Current Diabetes Reviews 7 148-41
[9]  
Waller LA(2018)Association of Socio-Environmental Determinants with diabetes prevalence in the Athens metropolitan area, Greece: A spatial analysis The Review of Diabetic Studies 14 381-14
[10]  
Anselin L(2019)Identifying determinants of obesity in Athens, Greece through global and local statistical models Spat Spatiotemporal Epidemiol. 29 31-19