Eurostat. Ageing Europe. Looking at the lives of older people in the EU. 2020 edition. https://ec.europa.eu/eurostat/documents/3217494/11478057/KS-02-20-655-EN-N.pdf/9b09606c-d4e8-4c33-63d2-3b20d5c19c91?t=1604055531000 (accessed on 05/16/2021).
Eurostat: aging Europe. https://ec.europa.eu/eurostat/cache/digpub/ageing/ (accessed on 11/04/2022).
World Health Organization Regional Office for Europe. Health and well-being and the 2030 Agenda for Sustainable Development in the WHO European Region: an analysis of policy development and implementation. In: Report of the first survey to assess Member States’ activities in relation to the WHO European Region Roadmap to Implement the 2030 Agenda for Sustainable Development. Copenhagen; 2021.
Hungarian Central Statistics Office. STADAT tables 22.1.1.4. https://www.ksh.hu/stadat_files/nep/hu/nep0004.html (accessed on 05/05/2022).
European Commission. The 2015 aging report: underlying assumptions and projection methodologies. Eur Econ. 2014;8. https://ec.europa.eu/economy_finance/publications/european_economy/2014/pdf/ee8_en.pdf. Accessed 05 May 2022.
Ungvari Z, Adany R. The future of healthy aging: translation of geroscience discoveries to public health practice. Eur J Public Health. 2021;31:455–6.
Lopez-Otin C, Blasco MA, Partridge L, Serrano M, Kroemer G. The hallmarks of aging. Cell. 2013;153:1194–217.
Article CAS PubMed PubMed Central Google Scholar
Ungvari Z, Tarantini S, Donato AJ, Galvan V, Csiszar A. Mechanisms of vascular aging. Circ Res. 2018;123:849–67.
Article CAS PubMed PubMed Central Google Scholar
Ungvari Z, Tarantini S, Sorond F, Merkely B, Csiszar A. Mechanisms of vascular aging, a geroscience perspective: JACC focus seminar. J Am Coll Cardiol. 2020;75:931–41.
Article CAS PubMed PubMed Central Google Scholar
Rowe JW, Kahn RL. Human aging: usual and successful. Science. 1987;237:143–9.
Article CAS PubMed Google Scholar
Rowe JW, Kahn RL. Successful aging. Gerontologist. 1997;37:433–40.
Article CAS PubMed Google Scholar
Rowe JW, Kahn RL. Successful aging 2.0: conceptual expansions for the 21st century. J Gerontol B Psychol Sci Soc Sci. 2015;70:593–6.
World Health Organization. Decade of healthy ageing: baseline report. 2020. https://iris.who.int/handle/10665/338677.
Choi H, Steptoe A, Heisler M, Clarke P, Schoeni RF, Jivraj S, Cho TC, Langa KM. Comparison of health outcomes among high- and low-income adults aged 55 to 64 years in the US vs England. JAMA Intern Med. 2020;180:1185–93.
OECD/European observatory on health systems and policies. State of health in the EU. Hungary: Country Health Profile; 2021. https://doi.org/10.1787/482f3633-en.
Average life expectancy at birth. Hungarian Central Statistical Office. https://www.ksh.hu/stadat_files/nep/hu/nep0060.html (accessed on 09/01/2022).
Eurostat. Aging Europe - Looking at the lives of older people in the EU - 2020 ed. 2020. https://doi.org/10.2785/628105.
Schöley J, Aburto JM, Kashnitsky I, Kniffka MS, Zhang L, Jaadla H, Dowd JB, Kashyap R. Life expectancy changes since COVID-19. Nat Hum Behav. 2022;6(12):1649–59. https://doi.org/10.1038/s41562-022-01450-3.
Article PubMed PubMed Central Google Scholar
OECD/European Union. Health at a Glance: Europe 2020: State of health in the EU cycle. State of Health in the EU Cycle; 2020. https://doi.org/10.1787/82129230-en.
OECD. Avoidable mortality (preventable and treatable). In: Health at a Glance 2021: OECD Indicators. Paris: OECD Publishing; 2021. https://doi.org/10.1787/ae3016b9-en.
Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Reference Life Table. Seattle, United States of America: Institute for Health Metrics and Evaluation (IHME); 2021. https://doi.org/10.6069/1D4Y-YQ37
Hungarian Central Statistics Office. Healthy life years 4.1.1.41. https://www.ksh.hu/stadat_files/ege/en/ege0041.html?msclkid=564b2b7bcf7111ecbb974e8589019613 (accessed on 05/09/2022).
OECD/European Observatory on Health Systems and Policies. Hungary: Country Health Profile 2019. State of Health in the EU, OECD Publishing, Paris/European Observatory on Health Systems and Policies, Brussels. 2019. https://doi.org/10.1787/4b7ba48c-en.
Diseases GBD, Injuries C. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019. Lancet. 2020;396:1204–22.
Péterfi A, Mészáros Á, Szarvas Z, Pénzes M, Fekete M, Fehér Á, Lehoczki A, Csípő T, Fazekas-Pongor V. Comorbidities and increased mortality of COVID-19 among the elderly: A systematic review. Physiol Int. 2022. https://doi.org/10.1556/2060.2022.00206.
Nikolich-Zugich J, Knox KS, Rios CT, Natt B, Bhattacharya D, Fain MJ. SARS-CoV-2 and COVID-19 in older adults: what we may expect regarding pathogenesis, immune responses, and outcomes. Geroscience. 2020;42:505–14.
Article CAS PubMed PubMed Central Google Scholar
Oroszi B, Juhász A, Nagy C, Horváth JK, McKee M, Ádány R. Unequal burden of COVID-19 in Hungary: a geographical and socioeconomic analysis of the second wave of the pandemic. BMJ Glob Health. 2021;6(9):e006427. https://doi.org/10.1136/bmjgh-2021-006427.
Oroszi B, Juhász A, Nagy C, Horváth JK, Komlós KE, Túri G, McKee M, Ádány R. Characteristics of the third COVID-19 pandemic wave with special focus on socioeconomic inequalities in morbidity, mortality and the uptake of COVID-19 vaccination in Hungary. J Pers Med. 2022;12(3):388. https://doi.org/10.3390/jpm12030388.
Article PubMed PubMed Central Google Scholar
Fast JE, Williamson DL, Keating NC. The hidden costs of informal elder care. J Fam Econ Issues. 1999;20:301–26.
Aiyar S, Ebeke CH, Shao X. The impact of workforce aging on European productivity. Int Monet Fund (IMF). 2016:No. 16/238. European Department, IMF Working Paper.
Ahtonen A. Healthy and active ageing: turning the ‘silver’ economy into gold. Europ Policy Cent Policy Brief; 2012.
Masters R, Anwar E, Collins B, Cookson R, Capewell S. Return on investment of public health interventions: a systematic review. J Epidemiol Community Health. 2017;71:827–34.
Huszár Á. Osztályszerkezet és jövedelemeloszlás Magyarországon 1982 és 2019 között [Class structure and income distribution in Hungary between 1982 and 2019]. TÁRKI: Társadalmi Riport; 2022.
Uzzoli A. Health inequalities regarding territorial differences in Hungary by discussing life expectancy. Regional Statistics. 2016;6(1):139–63.
Balasubramanian P, Kiss T, Tarantini S, Nyul-Toth A, Ahire C, Yabluchanskiy A, Csipo T, Lipecz A, Tabak A, Institoris A, Csiszar A, Ungvari Z. Obesity-induced cognitive impairment in older adults: a microvascular perspective. Am J Physiol Heart Circ Physiol. 2021;320:H740–61.
Article CAS PubMed Google Scholar
Horvath S, Erhart W, Brosch M, Ammerpohl O, von Schonfels W, Ahrens M, Heits N, Bell JT, Tsai PC, Spector TD, Deloukas P, Siebert R, Sipos B, Becker T, Rocken C, Schafmayer C, Hampe J. Obesity accelerates epigenetic aging of human liver. Proc Natl Acad Sci U S A. 2014;111:15538–43.
Article CAS PubMed PubMed Central Google Scholar
Tucsek Z, Toth P, Sosnowska D, Gautam T, Mitschelen M, Koller A, Szalai G, Sonntag WE, Ungvari Z, Csiszar A. Obesity in aging exacerbates blood-brain barrier disruption, neuroinflammation, and oxidative stress in the mouse hippocampus: effects on expression of genes involved in beta-amyloid generation and Alzheimer’s disease. J Gerontol A Biol Sci Med Sci. 2014;69:1212–26.
Article CAS PubMed Google Scholar
Kivimaki M, Strandberg T, Pentti J, Nyberg ST, Frank P, Jokela M, Ervasti J, Suominen SB, Vahtera J, Sipila PN, Lindbohm JV, Ferrie JE. Body-mass index and risk of obesity-related complex multimorbidity: an observational multicohort study. Lancet Diabetes Endocrinol. 2022;10:253–63.
Article CAS PubMed PubMed Central Google Scholar
Bagyura Z, Kiss L, Lux A, Csobay-Novak C, Jermendy AL, Polgar L, Szelid Z, Soos P, Merkely B. Association between coronary atherosclerosis and visceral adiposity index. Nutr Metab Cardiovasc Dis. 2020;30:796–803.
Martos T, Csabai M, Bagyura Z, Ocsovszky Z, Rafael B, Sallay V, Merkely B. Cardiovascular disease risk perception in a Hungarian community sample: psychometric evaluation of the ABCD Risk Perception Questionnaire. BMJ Open. 2020;10:e036028.
Article PubMed PubMed Central Google Scholar
Merkely B, Szabo AJ, Kosztin A, Berenyi E, Sebestyen A, Lengyel C, Merkely G, Karady J, Varkonyi I, Papp C, Miseta A, Betlehem J, Burian K, Csoka I, Vasarhelyi B, Ludwig E, Prinz G, Sinko J, Hanko B, Varga P, Fulop GA, Mag K, Voko Z; Investigators HUC-ER. Novel coronavirus epidemic in the Hungarian population, a cross-sectional nationwide survey to support the exit policy in Hungary. Geroscience. 2020;42:1063–1074.
Ungvari Z, Adany R, Szabo AJ, Dornyei G, Moizs M, Purebl G, Kalabay L, Varga P, Torzsa P, Kellermayer M, Merkely B. Semmelweis Caring University Model Program based on the development of a center of preventive services: health for all employees at a university occupational setting. Front Public Health. 2021;9:727668.
Article PubMed PubMed Central Google Scholar
Doll R, Hill AB. The mortality of doctors in relation to their smoking habits; a preliminary report. Br Med J. 1954;1:1451–5.
Article CAS PubMed PubMed Central Google Scholar
Doll R, Peto R, Boreham J, Sutherland I. Mortality in relation to smoking: 50 years’ observations on male British doctors. BMJ. 2004;328:1519.
Article PubMed PubMed Central Google Scholar
Nurses’ Health Study official site. https://nurseshealthstudy.org/?page_id=73 accessed on 09/04/2022.
Checkoway H, Eisen EA. Developments in occupational cohort studies. Epidemiol Rev. 1998;20:100–11.
Article CAS PubMed Google Scholar
Knutsson A, Akerstedt T, Jonsson BG, Orth-Gomer K. Increased risk of ischaemic heart disease in shift workers. Lancet. 1986;2:89–92.
Article CAS PubMed Google Scholar
Martikainen P, Lahelma E, Marmot M, Sekine M, Nishi N, Kagamimori S. A comparison of socioeconomic differences in physical functioning and perceived health among male and female employees in Britain, Finland and Japan. Soc Sci Med. 2004;59:1287–95.
Marmot M, Brunner E. Cohort Profile: the Whitehall II study. Int J Epidemiol. 2005;34:251–6.
Kuper H, Marmot M. Job strain, job demands, decision latitude, and risk of coronary heart disease within the Whitehall II study. J Epidemiol Community Health. 2003;57:147–53.
Article CAS PubMed PubMed Central Google Scholar
Kivimaki M, Nyberg ST, Batty GD, Fransson EI, Heikkila K, Alfredsson L, Bjorner JB, Borritz M, Burr H, Casini A, Clays E, De Bacquer D, Dragano N, Ferrie JE, Geuskens GA, Goldberg M, Hamer M, Hooftman WE, Houtman IL, Joensuu M, Jokela M, Kittel F, Knutsson A, Koskenvuo M, Koskinen A, Kouvonen A, Kumari M, Madsen IE, Marmot MG, Nielsen ML, Nordin M, Oksanen T, Pentti J, Rugulies R, Salo P, Siegrist J, Singh-Manoux A, Suominen SB, Vaananen A, Vahtera J, Virtanen M, Westerholm PJ, Westerlund H, Zins M, Steptoe A, Theorell T; Consortium IP-W. Job strain as a risk factor for coronary heart disease: a collaborative meta-analysis of individual participant data. Lancet. 2012;380:1491–7.
Tabak AG, Jokela M, Akbaraly TN, Brunner EJ, Kivimaki M, Witte DR. Trajectories of glycaemia, insulin sensitivity, and insulin secretion before diagnosis of type 2 diabetes: an analysis from the Whitehall II study. Lancet. 2009;373:2215–21.
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