TY - JOUR
T1 - Determinants of healthy ageing and its relation to 10-year cardiovascular disease incidence
T2 - The attica study
AU - Kollia, Natasa
AU - Panagiotakos, Demosthenes B.
AU - Chrysohoou, Christina
AU - Georgousopoulou, Ekavi
AU - Tousoulis, Dimitrios
AU - Stefanadis, Christodoulos
AU - Papageorgiou, Charalabos
AU - Pitsavos, Christos
N1 - Funding Information:
Demosthenes Panagiotakos and Ekavi Georgousopoulou received research grants by the Coca-Cola Company. The ATTICA study is supported by research grants from the Hellenic Cardiology Society (HCS2002) and the Hellenic Atherosclerosis Society (HAS2003). DBP and NK are funded within the Aging Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project (European Union’s Horizon 2020 research and innovation program) under grant agreement No 635316.
Funding Information:
Demosthenes Panagiotakos and Ekavi Georgousopoulou received research grants by the Coca-Cola Company. TheATTICAstudy is supported by research grants from the Hellenic Cardiology Society (HCS2002) and the HellenicAtherosclerosis Society (HAS2003). DBPand NK are funded within the Aging Trajectories of Health: Longitudinal Opportunities and Synergies (ATHLOS) project (European Union’s Horizon 2020 research and innovation program) under grant agreement No 635316.
Publisher Copyright:
© National Institute of Public Health, Prague 2018.
PY - 2018/3/1
Y1 - 2018/3/1
N2 - Objectives: The aim of the study was to understand determinants of ageing in relation to future cardiovascular disease (CVD) events at population level, and to explore determinants of healthy ageing and its relation to 10-year CVD incidence among apparently healthy individuals. Methods: In the context of the ATTICA study 453 apparently healthy men (45 ± 13 years) and 400 women (44 ± 18 years) with complete psychological evaluation were studied and followed during 2002-2012. Healthy Ageing Index (HAI) (range 0-7) was calculated based on socio-economical, bio-clinical, psychological, and lifestyle characteristics (i.e. dietary habits and physical activity) of the participants during the baseline examination. CVD incidence during the follow-up period was defined according to ICD-10 criteria. Results: Healthy Ageing Index was inversely associated with higher 10-year CVD risk (OR per 1/7 (95% CI): 0.47 (0.28, 0.80). Age and sex-adjusted determinants of healthy ageing were abnormal waist to hip ratio (p < 0.001), increased coffee consumption (p = 0.04), reduced basic metabolic rhythm (p < 0.001), increased triglycerides (p = 0.003), and C-reactive protein levels (p = 0.02), as aggravating factors, while moderate alcohol consumption (p = 0.002) was identified as a positive influential parameter. Conclusions: Understanding healthy ageing, as a dominant factor of CVD development, provides a new direction for better prevention efforts focused on healthy ageing at both population and individual level.
AB - Objectives: The aim of the study was to understand determinants of ageing in relation to future cardiovascular disease (CVD) events at population level, and to explore determinants of healthy ageing and its relation to 10-year CVD incidence among apparently healthy individuals. Methods: In the context of the ATTICA study 453 apparently healthy men (45 ± 13 years) and 400 women (44 ± 18 years) with complete psychological evaluation were studied and followed during 2002-2012. Healthy Ageing Index (HAI) (range 0-7) was calculated based on socio-economical, bio-clinical, psychological, and lifestyle characteristics (i.e. dietary habits and physical activity) of the participants during the baseline examination. CVD incidence during the follow-up period was defined according to ICD-10 criteria. Results: Healthy Ageing Index was inversely associated with higher 10-year CVD risk (OR per 1/7 (95% CI): 0.47 (0.28, 0.80). Age and sex-adjusted determinants of healthy ageing were abnormal waist to hip ratio (p < 0.001), increased coffee consumption (p = 0.04), reduced basic metabolic rhythm (p < 0.001), increased triglycerides (p = 0.003), and C-reactive protein levels (p = 0.02), as aggravating factors, while moderate alcohol consumption (p = 0.002) was identified as a positive influential parameter. Conclusions: Understanding healthy ageing, as a dominant factor of CVD development, provides a new direction for better prevention efforts focused on healthy ageing at both population and individual level.
KW - Ageing
KW - Cardiovascular disease
KW - Psychological
KW - Risk factors
UR - http://www.scopus.com/inward/record.url?scp=85046782380&partnerID=8YFLogxK
U2 - 10.21101/cejph.a5165
DO - 10.21101/cejph.a5165
M3 - Article
C2 - 29684290
AN - SCOPUS:85046782380
SN - 1210-7778
VL - 26
SP - 3
EP - 9
JO - Central European Journal of Public Health
JF - Central European Journal of Public Health
IS - 1
ER -