ATHLOS Healthy Aging Scale score as the predictor of all-cause mortality in Poland and Czechia
Jazyk angličtina Země Švýcarsko Médium electronic-ecollection
Typ dokumentu časopisecké články, práce podpořená grantem, Research Support, N.I.H., Extramural
Grantová podpora
064947
Wellcome Trust - United Kingdom
081081
Wellcome Trust - United Kingdom
PubMed
37006584
PubMed Central
PMC10061126
DOI
10.3389/fpubh.2023.1114497
Knihovny.cz E-zdroje
- Klíčová slova
- Central and Eastern Europe (CEE), aging, healthy aging, mortality, scale,
- MeSH
- lidé středního věku MeSH
- lidé MeSH
- prospektivní studie MeSH
- rizikové faktory MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- zdravé stárnutí * MeSH
- Check Tag
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Research Support, N.I.H., Extramural MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
- Polsko epidemiologie MeSH
BACKGROUND: The ATHLOS consortium (Aging Trajectories of Health-Longitudinal Opportunities and Synergies) used data from several aging cohorts to develop a novel scale measuring healthy aging comprehensively and globally (ATHLOS Healthy Aging Scale). In the present study, we assessed the predictive performance of the ATHLOS Healthy Aging Scale for all-cause mortality in middle-aged and older adults. METHODS: Data from the Polish and Czech HAPIEE (Health Alcohol and Psychosocial factors In Eastern Europe) prospective cohorts were used. There were 10,728 Poles and 8,857 Czechs recruited. The ATHLOS Healthy Aging Scale score was calculated for all participants using data from the baseline examination carried out from 2002 to 2005. The follow-up for all-cause mortality was completed over 14 years. The associations between quintiles of the ATHLOS Healthy Aging Scale and all-cause mortality were estimated using Cox proportional hazards models. RESULTS: A total of 9,922 Polish and 8,518 Czech participants contributed ATHLOS Healthy Aging Scale and mortality data with 1,828 and 1,700 deaths, respectively. After controlling for age, the ATHLOS Healthy Aging Scale score was strongly associated with mortality in a graded fashion for both genders and countries (hazard ratios for lowest vs. highest quintile were 2.98 and 1.96 for Czech and Polish women and 2.83 and 2.66 for Czech and Polish men, respectively). The associations were only modestly attenuated by controlling for education, economic activity, and smoking, and there was further modest attenuation after additional adjustment for self-rated health. CONCLUSION: The novel ATHLOS Healthy Aging Scale is a good predictor of all-cause mortality in Central European urban populations, suggesting that this comprehensive measure is a useful tool for the assessment of the future health trajectories of older persons.
Centro de Investigación Biomédica en Red de Salud Mental Madrid Spain
Department of Epidemiology and Public Health University College London London United Kingdom
Department of Psychiatry Universidad Autónoma de Madrid Madrid Spain
Department of Social Psychology and Quantitative Psychology University of Barcelona Barcelona Spain
Research Centre for Toxic Compounds in the Environment Masaryk University Brno Czechia
Research Innovation and Teaching Unit Parc Sanitari Sant Joan de Déu Sant Boi de Llobregat Spain
Zobrazit více v PubMed
Zaidi A, Gasior K, Zolyomi E, Schmidt A, Rodrigues R, Mari B. Measuring active and healthy ageing in Europe. J Eur Soc Policy. (2017) 27:138–57. 10.1177/0958928716676550 DOI
Lu W, Pikhart H, Sacker A. Domains and measurements of healthy aging in epidemiological studies: a review. Gerontologist. (2019) 59:e294–310. 10.1093/geront/gny029 PubMed DOI PMC
Michel JP, Sadana R. “Healthy aging” concepts and measures. J Am Med Dir Assoc. (2017) 18:460–4. 10.1016/j.jamda.2017.03.008 PubMed DOI
Beard JR, Officer A, De Carvalho IA, Sadana R, Pot AM, Michel JP, et al. . The World report on ageing and health: a policy framework for healthy ageing. Lancet. (2016) 387:2145–54. 10.1016/S0140-6736(15)00516-4 PubMed DOI PMC
Michel JP, Graf C, Ecarnot F. Individual healthy aging indices, measurements and scores. Aging Clin Exp Res. (2019) 31:1719–25. 10.1007/s40520-019-01327-y PubMed DOI
World Health Organization . World Report on Ageing and Health. Geneva: WHO; (2015).
Sanchez-Niubo A, Egea-Cortés L, Olaya B, Caballero FF, Ayuso-Mateos JL, Prina M, et al. . Cohort profile: the ageing trajectories of health - longitudinal opportunities and synergies (ATHLOS) project. Int J Epidemiol. (2019) 48:1052–3i. 10.1093/ije/dyz077 PubMed DOI PMC
Sanchez-Niubo A, Forero CG, Wu Y-T, Giné-Vázquez I, Prina M, Fuente JD, et al. . Development of a common scale for measuring healthy ageing across the world: results from the ATHLOS consortium. Int J Epidemiol. (2021) 50:880–92. 10.1093/ije/dyaa236 PubMed DOI PMC
Kollia N, Caballero FF, Sánchez-Niubó A, Tyrovolas S, Ayuso-Mateos JL, Haro JM, et al. . Social determinants, health status and 10-year mortality among 10,906 older adults from the English longitudinal study of aging: the ATHLOS project. BMC Public Health. (2018) 18:1357. 10.1186/s12889-018-6288-6 PubMed DOI PMC
Bobak M, Marmot M. East-west mortality divide and its potential explanations: proposed research agenda. BMJ. (1996) 312:421–5. 10.1136/bmj.312.7028.421 PubMed DOI PMC
Peasey A, Bobak M, Kubinova R, Malyutina S, Pajak A, Tamosiunas A, et al. . Determinants of cardiovascular disease and other non-communicable diseases in Central and Eastern Europe: rationale and design of the HAPIEE study. BMC Public Health. (2006) 6:255. 10.1186/1471-2458-6-255 PubMed DOI PMC
Critselis E, Panaretos D, Sánchez-Niubò A, Giné-Vázquez I, Ayuso-Mateos JL, Caballero FF, et al. . Ageing trajectories of health-longitudinal opportunities and synergies (ATHLOS) Healthy Ageing Scale in adults from 16 international cohorts representing 38 countries worldwide. J Epidemiol Commun Health. (2020) 74:1043–9. 10.1136/jech-2020-214496 PubMed DOI
Cooper R, Kuh D, Hardy R;, Mortality Review Group; FALCon and HALCyon Study Teams . Objectively measured physical capability levels and mortality: systematic review and meta-analysis. BMJ. (2010) 341:c4467. 10.1136/bmj.c4467 PubMed DOI PMC
Andrasfay T. Changes in physical functioning as short-term predictors of mortality. J Gerontol B Psychol Sci Soc Sci. (2020) 75:630–9. 10.1093/geronb/gby133 PubMed DOI PMC
Gillum RF, Obisesan TO. Physical activity, cognitive function, and mortality in a US national cohort. Ann Epidemiol. (2010) 20:251–7. 10.1016/j.annepidem.2010.01.005 PubMed DOI PMC
Ayalon L. Subjective cognitive functioning as a predictor of all-cause mortality in an Israeli national sample of community dwelling older adults. Int J Geriatr Psychiatry. (2008) 23:830–6. 10.1002/gps.1991 PubMed DOI
Tamosiunas A, Sapranaviciute-Zabazlajeva L, Luksiene D, Virviciute D, Bobak M. Cognitive function and mortality: results from Kaunas HAPIEE Study 2006-2017. Int J Environ Res Public Health. (2020) 17:2397. 10.3390/ijerph17072397 PubMed DOI PMC
Kozela M, Bobak M, Besala A, Micek A, Kubinova R, Malyutina S, et al. . The association of depressive symptoms with cardiovascular and all-cause mortality in Central and Eastern Europe: Prospective results of the HAPIEE study. Eur J Prev Cardiol. (2016) 23:1839–47. 10.1177/2047487316649493 PubMed DOI PMC
Russ TC, Stamatakis E, Hamer M, Starr JM, Kivimäki M, Batty GD. Association between psychological distress and mortality: individual participant pooled analysis of 10 prospective cohort studies. BMJ. (2012) 345:e4933. 10.1136/bmj.e4933 PubMed DOI PMC
Baltes PB, Baltes MM. Pyschological perspectives on successful aging: the model of selective optimization with compensation. In: Baltes PB, Baltes MM. editors. Successful Aging Perspectives From the Behavioral Sciences. New York, NY: Press Syndicate of the University of Cambridge; (1990).
Mitnitski AB, Mogilner AJ, Rockwood K. Accumulation of deficits as a proxy measure of aging. Sci World J. (2001) 1:323–36. 10.1100/tsw.2001.58 PubMed DOI PMC
Rockwood K, Howlett SE. Age-related deficit accumulation and the diseases of ageing. Mech Ageing Dev. (2019) 180:107–16. 10.1016/j.mad.2019.04.005 PubMed DOI
Kojima G, Iliffe S, Walters K. Frailty index as a predictor of mortality: a systematic review and meta-analysis. Age Ageing. (2019) 47:193–200. 10.1093/ageing/afx162 PubMed DOI
Topór-Madry R, Bobak M, Pajak A. 5-year mortality in respondents and nonrespondent for the cohort study of 20 000 randomly selected middle aged men and women The HAPIEE Project. Eur J Prev Cardiol. (2012) 19:S71.