1
|
Halonen P, Jämsen E, Enroth L, Jylhä M. Agreement Between Self-Reported Information and Health Register Data on Chronic Diseases in the Oldest Old. Clin Epidemiol 2023; 15:785-794. [PMID: 37396023 PMCID: PMC10312216 DOI: 10.2147/clep.s410971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Accepted: 06/03/2023] [Indexed: 07/04/2023] Open
Abstract
Purpose To study the agreement on disease prevalence between survey data and national health register data among people aged over 90. Patients and Methods The survey data were from the Vitality 90+ Study conducted among 1637 community dwellers and persons in long-term care aged 90 and over in Tampere, Finland. The survey was linked with two national health registers, including hospital discharge data and prescription information. The prevalence of 10 age-related chronic diseases was calculated for each data source and the agreement between the survey and the registers was estimated using Cohen's kappa statistics and positive and negative percent agreement. Results The prevalence of most diseases was higher in the survey than in the registers. The level of agreement was highest when the survey was compared with information combined from both registers. Agreement was almost perfect for Parkinson's disease (ĸ=0.81) and substantial for diabetes (ĸ=0.75) and dementia (ĸ=0.66). For heart disease, hypertension, stroke, cancer, osteoarthritis, depression, and hip fracture, the agreement ranged from fair to moderate. Conclusion Self-reported information on chronic diseases shows acceptable agreement with health register data to warrant the use of survey methods in population-based health studies among the oldest old. It is important to acknowledge the gaps in health registers when validating self-reported information against register data.
Collapse
Affiliation(s)
- Pauliina Halonen
- Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
| | - Esa Jämsen
- Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Linda Enroth
- Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences), Tampere University, Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
- Tays Research Services, Wellbeing Services County of Pirkanmaa, Tampere University Hospital, Tampere, Finland
| |
Collapse
|
2
|
Vargese SS, Jylhä M, Raitanen J, Enroth L, Halonen P, Aaltonen M. Dementia-related disability in the population aged 90 years and over: differences over time and the role of comorbidity in the vitality 90 + study. BMC Geriatr 2023; 23:276. [PMID: 37149593 PMCID: PMC10163713 DOI: 10.1186/s12877-023-03980-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2022] [Accepted: 04/18/2023] [Indexed: 05/08/2023] Open
Abstract
BACKGROUND The burden of dementia, multimorbidity, and disability is high in the oldest old. However, the contribution of dementia and comorbidities to functional ability in this age group remains unclear. We examined the combined effects of dementia and comorbidities on ADL and mobility disability and differences between dementia-related disability between 2001, 2010, and 2018. METHODS Our data came from three repeated cross-sectional surveys in the population aged 90 + in the Finnish Vitality 90 + Study. The associations of dementia with disability and the combined effects of dementia and comorbidity on disability adjusted for age, gender, occupational class, number of chronic conditions, and study year were determined by generalized estimating equations. An interaction term was calculated to assess differences in the effects of dementia on disability over time. RESULTS In people with dementia, the odds of ADL disability were almost five-fold compared to people with three other diseases but no dementia. Among those with dementia, comorbidities did not increase ADL disability but did increase mobility disability. Differences in disability between people with and without dementia were greater in 2010 and 2018 than in 2001. CONCLUSION We found a widening gap in disability between people with and without dementia over time as functional ability improved mainly in people without dementia. Dementia was the main driver of disability and among those with dementia, comorbidities were associated with mobility disability but not with ADL disability. These results imply the need for strategies to maintain functioning and for clinical updates, rehabilitative services, care planning, and capacity building among care providers.
Collapse
Affiliation(s)
- Saritha Susan Vargese
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland.
- Believers Church Medical College Hospital, Thiruvalla, India.
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Linda Enroth
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland
| | - Pauliina Halonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland
| | - Mari Aaltonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University Hospital, Tampere, Finland
- Finnish Institute for Health and Welfare, Helsinki, Finland
| |
Collapse
|
3
|
Enroth L, Halonen P, Tiainen K, Raitanen J, Jylhä M. Cohort profile: The Vitality 90+ Study-a cohort study on health and living conditions of the oldest old in Tampere, Finland. BMJ Open 2023; 13:e068509. [PMID: 36750290 PMCID: PMC9906174 DOI: 10.1136/bmjopen-2022-068509] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/09/2023] Open
Abstract
PURPOSE Vitality 90+ is an ongoing population-based study with repeated cross-sectional data collections. The study was designed to examine trends in health, functioning, living conditions, quality of life and care needs among the oldest old in Finland. PARTICIPANTS Nine mailed surveys have been conducted in the city of Tampere between 1995 and 2018. The first three surveys in 1995, 1996 and 1998 included all community-dwelling individuals aged 90 years or older; and the following six surveys in 2001, 2003, 2007, 2010, 2014 and 2018 covered all individuals in Tampere regardless of their living arrangements. In total, the surveys have included 5935 participants (8840 observations). Around 80% of the participants have been women. The participants' age range has been between 90 and 107 years. FINDINGS TO DATE The surveys have consistently asked the same questions over time, covering basic sociodemographic factors, morbidity, functioning, self-rated health (SRH), living arrangements, social relations, quality of life, care needs and providers of care. Survey data have been linked with national register data on health and social service use, mortality and medication. The main findings regarding the time trends show an increase in the proportion of people independent in activities of daily living and mobility. Along with improved functioning, the number of chronic conditions has increased, and SRH has shown a tendency to decline. In addition, we have found increasing occupational class inequalities in functioning and SRH over time. FUTURE PLANS The next round of data collection will be completed by the end of 2022. The Vitality 90+ Study welcomes research collaborations that fall within the general aims of the project. The research data 1995-2014 are archived at the Finnish Social Science Data Archive and the data for years 2018 and 2022 will be archived in 2023.
Collapse
Affiliation(s)
- Linda Enroth
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Pauliina Halonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Kristina Tiainen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| |
Collapse
|
4
|
Halonen P, Enroth L, Jämsen E, Vargese S, Jylhä M. Dementia and Related Comorbidities in the Population Aged 90 and Over in the Vitality 90+ Study, Finland: Patterns and Trends From 2001 to 2018. J Aging Health 2022; 35:370-382. [PMID: 36256914 PMCID: PMC10150268 DOI: 10.1177/08982643221123451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
OBJECTIVES To examine trends in the prevalence of dementia and related comorbidities among the oldest old. METHODS Six repeated cross-sectional surveys were conducted between 2001 and 2018, each including all inhabitants aged over 90 in Tampere, Finland (n = 5386). Co-occurring conditions and their time trends among participants with dementia were examined using logistic regression and generalized estimating equations. RESULTS The prevalence of dementia decreased from 47% in 2007 to 41% in 2018. Throughout the study period, depression was more common among people with dementia compared to those without. The prevalence of hypertension, diabetes, and osteoarthritis increased and the prevalence of depression decreased among people with dementia. The mean number of comorbidities increased from 2.0 in 2001 to 2.3 in 2018. DISCUSSION Dementia remains highly prevalent among the oldest old and it is accompanied by an increasing burden of comorbidities, posing a challenge to people with dementia, their caregivers, and care systems.
Collapse
Affiliation(s)
- Pauliina Halonen
- Faculty of Social Sciences (Health Sciences), 7840Tampere University, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Linda Enroth
- Faculty of Social Sciences (Health Sciences), 7840Tampere University, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Esa Jämsen
- Gerontology Research Center, Tampere, Finland.,Faculty of Medicine and Health Technology, 7840Tampere University, Tampere, Finland.,Department of Geriatrics, 7840Tampere University HospitalHospital, Tampere, Finland
| | - Saritha Vargese
- Faculty of Social Sciences (Health Sciences), 7840Tampere University, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences), 7840Tampere University, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| |
Collapse
|
5
|
Lehto‐Niskala V, Jolanki O, Jylhä M. Family's role in long-term care-A qualitative study of Finnish family members' experiences on supporting the functional ability of an older relative. Health Soc Care Community 2022; 30:e2571-e2579. [PMID: 34970804 PMCID: PMC9545356 DOI: 10.1111/hsc.13700] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 11/26/2021] [Accepted: 12/17/2021] [Indexed: 06/14/2023]
Abstract
Family members are important providers of care for older people. In residential long-term care, however, their role is not always simple and straightforward: responsibility for care provision rests officially with staff members, but in practice family members often contribute to providing care. The main reason for admission to long-term care is functional decline. At the same time, the maintenance of functional ability is a central goal in long-term care. It is therefore reasonable to assume that functional ability is also an important factor in the relationship between family members and long-term care residents. This study aims to explore how family members experience their role in supporting the functional ability of older relatives in residential long-term care. With the approval of the local hospital district's ethics committee, we conducted semi-structured interviews with family members (n = 16) in Finland in 2016. Thematic data analysis showed that family members supported the functional ability of their older parent or spouse by organising and monitoring care and by bringing forth their relative's personal needs and wishes. They often saw their role alongside staff members as ambiguous, and their understanding of the scope of support for functioning extended beyond physical everyday tasks. In their talk, family members broadened the concept of functional ability from daily chores and independence to meaningful social relations and acknowledgement of person's individual background and preferences. Family members' views offer valuable insights into residents' personal needs, values and preferences and in doing so help care workers to support their functional ability with a person-centred care approach.
Collapse
Affiliation(s)
- Vilhelmiina Lehto‐Niskala
- Faculty of Social Sciences (Health Sciences)Tampere UniversityTampereFinland
- Gerontology Research CenterTampere UniversityUniversity of JyväskyläJyväskyläFinland
| | - Outi Jolanki
- Faculty of Social Sciences (Health Sciences)Tampere UniversityTampereFinland
- Gerontology Research CenterTampere UniversityUniversity of JyväskyläJyväskyläFinland
- Department of Social Sciences and PhilosophyUniversity of JyväskyläJyväskyläFinland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences)Tampere UniversityTampereFinland
- Gerontology Research CenterTampere UniversityUniversity of JyväskyläJyväskyläFinland
| |
Collapse
|
6
|
Kananen L, Hurme M, Bürkle A, Moreno-Villanueva M, Bernhardt J, Debacq-Chainiaux F, Grubeck-Loebenstein B, Malavolta M, Basso A, Piacenza F, Collino S, Gonos ES, Sikora E, Gradinaru D, Jansen EHJM, Dollé MET, Salmon M, Stuetz W, Weber D, Grune T, Breusing N, Simm A, Capri M, Franceschi C, Slagboom E, Talbot D, Libert C, Raitanen J, Koskinen S, Härkänen T, Stenholm S, Ala-Korpela M, Lehtimäki T, Raitakari OT, Ukkola O, Kähönen M, Jylhä M, Jylhävä J. Circulating cell-free DNA in health and disease - the relationship to health behaviours, ageing phenotypes and metabolomics. GeroScience 2022; 45:85-103. [PMID: 35864375 PMCID: PMC9886738 DOI: 10.1007/s11357-022-00590-8] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Accepted: 05/06/2022] [Indexed: 02/03/2023] Open
Abstract
Circulating cell-free DNA (cf-DNA) has emerged as a promising biomarker of ageing, tissue damage and cellular stress. However, less is known about health behaviours, ageing phenotypes and metabolic processes that lead to elevated cf-DNA levels. We sought to analyse the relationship of circulating cf-DNA level to age, sex, smoking, physical activity, vegetable consumption, ageing phenotypes (physical functioning, the number of diseases, frailty) and an extensive panel of biomarkers including blood and urine metabolites and inflammatory markers in three human cohorts (N = 5385; 17-82 years). The relationships were assessed using correlation statistics, and linear and penalised regressions (the Lasso), also stratified by sex.cf-DNA levels were significantly higher in men than in women, and especially in middle-aged men and women who smoke, and in older more frail individuals. Correlation statistics of biomarker data showed that cf-DNA level was higher with elevated inflammation (C-reactive protein, interleukin-6), and higher levels of homocysteine, and proportion of red blood cells and lower levels of ascorbic acid. Inflammation (C-reactive protein, glycoprotein acetylation), amino acids (isoleucine, leucine, tyrosine), and ketogenesis (3-hydroxybutyrate) were included in the cf-DNA level-related biomarker profiles in at least two of the cohorts.In conclusion, circulating cf-DNA level is different by sex, and related to health behaviour, health decline and metabolic processes common in health and disease. These results can inform future studies where epidemiological and biological pathways of cf-DNA are to be analysed in details, and for studies evaluating cf-DNA as a potential clinical marker.
Collapse
Affiliation(s)
- Laura Kananen
- Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. .,Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland. .,Faculty of Medicine and Health Technology, and Gerontology Research Center, Tampere University, Tampere, Finland.
| | - Mikko Hurme
- grid.502801.e0000 0001 2314 6254Faculty of Medicine and Health Technology, and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Alexander Bürkle
- grid.9811.10000 0001 0658 7699Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | - Maria Moreno-Villanueva
- grid.9811.10000 0001 0658 7699Molecular Toxicology Group, University of Konstanz, Konstanz, Germany
| | | | - Florence Debacq-Chainiaux
- grid.6520.10000 0001 2242 8479URBC-Narilis, University of Namur, Rue de Bruxelles, 61, B-5000 Namur, Belgium
| | - Beatrix Grubeck-Loebenstein
- grid.5771.40000 0001 2151 8122Research Institute for Biomedical Aging Research, University of Innsbruck, Rennweg, 10, 6020 Innsbruck, Austria
| | - Marco Malavolta
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Andrea Basso
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Francesco Piacenza
- Advanced Technology Center for Aging Research, Scientific Technological Area, IRCCS INRCA, Ancona, Italy
| | - Sebastiano Collino
- grid.5333.60000000121839049Nestlé Research, Nestlé Institute of Health Sciences, EPFL Innovation Park, 1015 Lausanne, Switzerland
| | - Efstathios S. Gonos
- grid.22459.380000 0001 2232 6894Institute of Biology, Medicinal Chemistry and Biotechnology, National Hellenic Research Foundation, Athens, Greece
| | - Ewa Sikora
- grid.419305.a0000 0001 1943 2944Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 3 Pasteur street, 02-093 Warsaw, Poland
| | - Daniela Gradinaru
- grid.8194.40000 0000 9828 7548Department of Biochemistry, Faculty of Pharmacy, “Carol Davila” University of Medicine and Pharmacy, 020956 Bucharest, Romania
| | - Eugene H. J. M. Jansen
- grid.31147.300000 0001 2208 0118National Institute for Public Health and the Environment (RIVM), Centre for Health Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Martijn E. T. Dollé
- grid.31147.300000 0001 2208 0118National Institute for Public Health and the Environment (RIVM), Centre for Health Protection, P.O. Box 1, 3720 BA Bilthoven, The Netherlands
| | - Michel Salmon
- grid.425994.7Straticell, Science Park Crealys, Rue Jean Sonet 10, 5032 Les Isnes, Belgium
| | - Wolfgang Stuetz
- grid.9464.f0000 0001 2290 1502Institute of Nutritional Sciences (140), University of Hohenheim, 70593 Stuttgart, Germany
| | - Daniela Weber
- grid.418213.d0000 0004 0390 0098Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany
| | - Tilman Grune
- grid.418213.d0000 0004 0390 0098Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany ,grid.10420.370000 0001 2286 1424Department of Physiological Chemistry, Faculty of Chemistry, University of Vienna, 1090 Vienna, Austria ,grid.9464.f0000 0001 2290 1502Institute of Nutritional Medicine (180), University of Hohenheim, 70593 Stuttgart, Germany
| | - Nicolle Breusing
- grid.9464.f0000 0001 2290 1502Institute of Nutritional Medicine (180), University of Hohenheim, 70593 Stuttgart, Germany
| | - Andreas Simm
- grid.461820.90000 0004 0390 1701Department of Cardiothoracic Surgery, University Hospital Halle, Ernst-Grube Str. 40, 06120 Halle (Saale), Germany
| | - Miriam Capri
- grid.6292.f0000 0004 1757 1758DIMES- Department of Experimental, Diagnostic and Specialty Medicine,
Interdepartmental Center “Alma Mater Research Institute On Global Challenges and Climate Change (Alma Climate)”,
Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Claudio Franceschi
- grid.6292.f0000 0004 1757 1758DIMES- Department of Experimental, Diagnostic and Specialty Medicine,
Interdepartmental Center “Alma Mater Research Institute On Global Challenges and Climate Change (Alma Climate)”,
Alma Mater Studiorum, University of Bologna, 40126 Bologna, Italy
| | - Eline Slagboom
- grid.10419.3d0000000089452978Section of Molecular Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Duncan Talbot
- Unilever Science and Technology, Beauty and Personal Care, Sharnbrook, UK
| | - Claude Libert
- grid.11486.3a0000000104788040Center for Inflammation Research, VIB, Ghent, Belgium ,grid.5342.00000 0001 2069 7798Department of Biomedical Molecular Biology, Ghent University, Ghent, Belgium
| | - Jani Raitanen
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Seppo Koskinen
- grid.14758.3f0000 0001 1013 0499National Institute for Health and Welfare, Helsinki, Finland
| | - Tommi Härkänen
- grid.14758.3f0000 0001 1013 0499National Institute for Health and Welfare, Helsinki, Finland
| | - Sari Stenholm
- grid.1374.10000 0001 2097 1371Department of Public Health, University of Turku and Turku University Hospital, Turku, Finland ,grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland
| | - Mika Ala-Korpela
- grid.10858.340000 0001 0941 4873Computational Medicine, Faculty of Medicine, University of Oulu and Biocenter Oulu, Oulu, Finland ,grid.10858.340000 0001 0941 4873Center for Life Course Health Research, University of Oulu, Oulu, Finland ,grid.9668.10000 0001 0726 2490NMR Metabolomics Laboratory, School of Pharmacy, University of Eastern Finland, Kuopio, Finland
| | - Terho Lehtimäki
- grid.502801.e0000 0001 2314 6254Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.511163.10000 0004 0518 4910Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Olli T. Raitakari
- grid.1374.10000 0001 2097 1371Centre for Population Health Research, University of Turku and Turku University Hospital, Turku, Finland ,grid.1374.10000 0001 2097 1371Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland ,grid.410552.70000 0004 0628 215XDepartment of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
| | - Olavi Ukkola
- grid.10858.340000 0001 0941 4873Research Unit of Internal Medicine, Medical Research Center Oulu, Oulu University Hospital, University of Oulu, Oulu, Finland
| | - Mika Kähönen
- grid.502801.e0000 0001 2314 6254Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.502801.e0000 0001 2314 6254Finnish Cardiovascular Research Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland ,grid.412330.70000 0004 0628 2985Department of Clinical Physiology, Tampere University Hospital, Tampere, Finland
| | - Marja Jylhä
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Juulia Jylhävä
- grid.4714.60000 0004 1937 0626Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden ,grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences), and Gerontology Research Center, Tampere University, Tampere, Finland
| |
Collapse
|
7
|
Enroth L, Jasilionis D, Németh L, Strand BH, Tanjung I, Sundberg L, Fors S, Jylhä M, Brønnum-Hansen H. Correction to: Changes in socioeconomic differentials in old age life expectancy in four Nordic countries: the impact of educational expansion and education-specific mortality. Eur J Ageing 2022; 19:1643-1644. [PMID: 36692795 PMCID: PMC9729605 DOI: 10.1007/s10433-022-00711-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
[This corrects the article DOI: 10.1007/s10433-022-00698-y.].
Collapse
Affiliation(s)
- Linda Enroth
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Domantas Jasilionis
- grid.419511.90000 0001 2033 8007Max Planck Institute for Demographic Research, Rostock, Germany
| | - Laszlo Németh
- grid.419511.90000 0001 2033 8007Max Planck Institute for Demographic Research, Rostock, Germany
| | - Bjørn Heine Strand
- grid.418193.60000 0001 1541 4204Department of Physical Health and Ageing, Norwegian Institute of Public Health, Oslo, Norway ,grid.417292.b0000 0004 0627 3659The Norwegian National Centre for Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway ,grid.55325.340000 0004 0389 8485Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Insani Tanjung
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Louise Sundberg
- grid.4714.60000 0004 1937 0626Aging Research Center, Karolinska Institutet, Stockholm, Sweden ,grid.10548.380000 0004 1936 9377Stockholm University, Stockholm, Sweden
| | - Stefan Fors
- grid.4714.60000 0004 1937 0626Aging Research Center, Karolinska Institutet, Stockholm, Sweden ,grid.10548.380000 0004 1936 9377Stockholm University, Stockholm, Sweden
| | - Marja Jylhä
- grid.502801.e0000 0001 2314 6254Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Tampere, Finland
| | - Henrik Brønnum-Hansen
- grid.5254.60000 0001 0674 042XDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark
| |
Collapse
|
8
|
Aaltonen M, Forma L, Pulkki J, Raitanen J, Jylhä M. Use of Long-Term Care Decreased Over Time Among the Oldest-Old With and Without Dementia - A Register-Based Study. Innov Aging 2021. [PMCID: PMC8681988 DOI: 10.1093/geroni/igab046.3547] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Care policies for older adults emphasize aging-in-place and home care over residential long-term care (LTC). We explore how the use of residential LTC in the last five years of life among people with and without dementia changed between those who died in 2001, 2007, 2013, and 2017 in Finland. Retrospective data drawn from the national health and social care registers include all those who died aged 70+ in 2007, 2013, and 2017, plus a 40% random sample from 2001 (N=128 050). Negative binomial regression analysis was used to estimate the association of dementia with LTC use during the last five years of life (1825 days). The independent variables included dementia, age, marital status, annual income, education, and chronic conditions. In the total study population, the proportion of LTC users and the mean number of days in LTC increased until 2013, after which it decreased. Changes in LTC use differed between different age groups and by dementia status. Over time, the decrease in round-the-clock LTC use was steep in those aged 90≤ with dementia and in people aged 80≤ without dementia. The individual factors related to morbidity and sociodemographic factors did not explain these results. The changes in LTC care policy may have contributed to the decrease in LTC use among the oldest. However, according to national statistics, the availability of formal home care has not increased. This development may suggest that the oldest-old and those with dementia – a highly vulnerable group – are left without proper care.
Collapse
Affiliation(s)
- Mari Aaltonen
- Tampere University, Tampere University / Tampere, Pirkanmaa, Finland
| | - Leena Forma
- University of Helsinki, University of Helsinki / Helsinki, Uusimaa, Finland
| | - Jutta Pulkki
- Tampere University, Tampere University / Tampere, Pirkanmaa, Finland
| | - Jani Raitanen
- Tampere University, Tampere University / Tampere, Pirkanmaa, Finland
| | - Marja Jylhä
- Tampere University, Tampere University / Tampere, Pirkanmaa, Finland
| |
Collapse
|
9
|
Vargese SS, Halonen P, Raitanen J, Forma L, Jylhä M, Aaltonen M. Comorbidities in dementia during the last years of life: a register study of patterns and time differences in Finland. Aging Clin Exp Res 2021; 33:3285-3292. [PMID: 33939125 PMCID: PMC8668841 DOI: 10.1007/s40520-021-01867-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2021] [Accepted: 04/16/2021] [Indexed: 11/29/2022]
Abstract
BACKGROUND Comorbidities have major implications for the care of people with dementia. AIM To investigate the patterns of comorbidities in dementia in the last five years of life and how these patterns differed between three cohorts. METHODS The study included people who died at age 70 and above in 2001 (n = 13,717), 2007 (n = 34,750) and 2013 (n = 38,087) in Finland. ICD-10 morbidity data for a five-year period prior to death were extracted from national registers. Principal component analysis was employed to identify patterns for several morbidities. The associations of principal component scores with dementia were analysed using binary logistic regression. Linear regression was used to examine changes in the number of morbidities in patterns over time. RESULTS The morbidity patterns identified in the last years of life were (1) cardiometabolic disorders, (2) neurological, (3) cerebrovascular diseases and (4) musculoskeletal, thyroid and psychiatric disorders. Among the patterns, neurological and musculoskeletal, thyroid and psychiatric disorders were associated with dementia. The number of diagnoses in the cerebrovascular pattern increased and those in the musculoskeletal, thyroid and psychiatric pattern decreased over time. DISCUSSION Comorbidity patterns identified in this nationwide register study are largely in line with previous evidence. Time difference in these patterns provide crucial information for service planning. CONCLUSIONS Comorbidities in dementia in the last years of life occur in patterns and change over time. More systematic monitoring and updated clinical guidelines are needed for the care of comorbidities with dementia.
Collapse
Affiliation(s)
- Saritha Susan Vargese
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland.
| | - Pauliina Halonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
- The UKK Institute for Health Promotion Research, Tampere, Finland
| | - Leena Forma
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
- Faculty of Social Sciences, University of Helsinki, Helsinki, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| | - Mari Aaltonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| |
Collapse
|
10
|
Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. Publisher Correction: A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2021; 12:2463. [PMID: 33893282 PMCID: PMC8065049 DOI: 10.1038/s41467-021-22613-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
A Correction to this paper has been published: https://doi.org/10.1038/s41467-021-22613-2
Collapse
Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, China
- China National Genebank, BGI-Shenzhen, Shenzhen, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA
- Icelandic Heart Association, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA
- Department of Epidemiology, University of Washington, Seattle, WA, USA
- Department of Health Services, University of Washington, Seattle, WA, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, Paris, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, USA.
| |
Collapse
|
11
|
Enroth L, Soo PH, Nosraty L, Tiainen K, Raitanen J, Jylhä M, Aaltonen M. Disability During the Last Years of Life Among Nonagenarians: The Vitality 90+ Study 2001-2014. Innov Aging 2020. [PMCID: PMC7740432 DOI: 10.1093/geroni/igaa057.745] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Increasing life expectancy has postponed the last years of life to older ages. Previous studies have demonstrated that disability is determined by age, age at death and closeness to death but only few have focused on oldest old population. We examined disability during the last years of life among people aged 90 years and older between 2001 and 2014 and assessed whether it varied by age at death, sex and study year. We used population-based survey data from the Vitality 90+ Study years 2001, 2003, 2007, 2010 and 2014 (N=5711, response rate 77-86%) linked with dates of death from Statistics Finland. Disability was defined as dependency in daily activities (dressing, getting in and out of bed) and mobility (moving indoors, walking 400m, using stairs). We analyzed disability stratified by closeness to death and age at death for men and women in each study year with logistic regression method. Disability in daily activities and mobility increased systematically with closeness to death (>4, 3-3.99, 2-2.99, 1-1.99 and 1> years to death) for both sexes in each study year. Also higher age at death (90-91 vs. 94+ years) was associated with disability. These associations remained consistent throughout the study period. This study shows that in the oldest old population both closeness to death and age at death determine the level of disability. We suggest that the complex and resource-draining care needs at the end of life will increase with growing number of people living their last years of life in very old age.
Collapse
|
12
|
Lehto-Niskala V, Jolanki O, Jylhä M. Family Members’ Experiences of Maintaining an Older Relative’s Functional Ability in Long-Term Care. Innov Aging 2020. [PMCID: PMC7741536 DOI: 10.1093/geroni/igaa057.297] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Abstract
Family members have important role in care of older people. In residential long-term settings family members can find themselves in an ambiguous situation: officially, responsibility for provision and quality of care rests with the care provider and staff members, but in practice family members participate in caring. This study explores the role of family members in residential long-term care settings, particularly in supporting their older relatives’ functional ability. Developing and maintaining functional ability lies at the very core of healthy ageing policies and long-term care. The data consist of semi-structured interviews with family members (n=16) from eight long-term care facilities in Finland. Thematic analysis yielded three themes: maintaining personhood, engaging in everyday life and monitoring care. Family members in our study were actively involved in care that supported the functional ability of their older relative. However, family members had also conflicting views about who was responsible for care provision. Some participants willingly accepted their caregiver responsibilities even in residential care, while others described their involvement in care not as a matter of choice but rather as one of necessity in order to ensure good quality care. It is important to see the family members’ viewpoint which, based on the results of this study, emphasizes personhood and continuity of care. If they are willing to participate, family should be able to take part in caregiving together with the care staff and their role should be recognized.
Collapse
|
13
|
Nevalainen T, Autio A, Puhka M, Jylhä M, Hurme M. Composition of the whole transcriptome in the human plasma: Cellular source and modification by aging. Exp Gerontol 2020; 143:111119. [PMID: 33086079 DOI: 10.1016/j.exger.2020.111119] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Revised: 09/10/2020] [Accepted: 10/11/2020] [Indexed: 11/30/2022]
Abstract
Plasma contains several bioactive molecules (RNA, DNA, proteins, lipids, and metabolites), which are well preserved in extracellular vesicles, that are involved in many types of cell-to-cell interactions, and are capable of modifying biological processes in recipient cells. To obtain information about the source of mRNA molecules present in the plasma, we analyzed the plasma extracellular RNA (exRNA) of healthy individuals using RNA-sequencing and compared it to that of the peripheral blood mononuclear cell (PBMCs) of the same individual. The resultant data indicates that large proportion of the transcripts in plasma are derived from cell types other than PBMCs. To assess aging-associated changes in the plasma exRNA composition, gene ontology enrichment analysis was performed, revealing a functional decline in biological processes as a result of aging. Additionally, plasma RNA levels were analyzed with differential expression analysis, revealing 10 transcripts with significant aging-associated changes. Thus, it seems that the plasma exRNA is not fully derived from the PBMCs. Instead, other cell types supply RNAs to constitute the plasma exRNA compartment. This was true in both the young and elderly individuals that were tested. Furthermore, the RNA content of the plasma showed significant changes due to aging, affecting important biological processes.
Collapse
Affiliation(s)
- Tapio Nevalainen
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Gerontology Research Center, Tampere University, Tampere, Finland.
| | - Arttu Autio
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Gerontology Research Center, Tampere University, Tampere, Finland; Science Centre, Pirkanmaa Hospital District, Tampere, Finland.
| | - Maija Puhka
- HiPrep and EV Core, Institute for Molecular Medicine Finland FIMM, University of Helsinki, Finland.
| | - Marja Jylhä
- Faculty of Social Sciences, Tampere University, Tampere, Finland; Gerontology Research Center, Tampere University, Tampere, Finland.
| | - Mikko Hurme
- Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland; Gerontology Research Center, Tampere University, Tampere, Finland.
| |
Collapse
|
14
|
Enroth L, Raitanen J, Halonen P, Tiainen K, Jylhä M. Trends of Physical Functioning, Morbidity, and Disability-Free Life Expectancy Among the Oldest Old: Six Repeated Cross-Sectional Surveys Between 2001 and 2018 in the Vitality 90+ Study. J Gerontol A Biol Sci Med Sci 2020; 76:1227-1233. [PMID: 32506117 DOI: 10.1093/gerona/glaa144] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Indexed: 02/05/2023] Open
Abstract
BACKGROUND It remains unclear whether increasing longevity is accompanied by a compression or expansion of poor health and disability. We examined trends of physical functioning and morbidity in a population aged 90 and older, and disease- and disability-free life expectancy (LE) at age 90 between 2001 and 2018 in Finland's third most populated city. METHODS We used survey data from the Vitality 90+ Study, which comprises a series of six repeated mailed surveys (7,590 observations). Information on mortality came from Statistics Finland. We examined trends of functioning (activities of daily living [ADL] and mobility) and cardiovascular and dementia morbidity using age-adjusted generalized estimating equation models stratified by sex. In addition, age-, sex-, and period-specific health expectancies were calculated using Sullivan's method. RESULTS Over time, functioning improved, especially, in women, and morbidity increased in men. From 2001 to 2018, LE at age 90 increased by 5.3 months for men and 6.4 months for women. LE without ADL disability increased by 5.0 months for men and 8.4 months for women, and LE without mobility disability by 6.0 months for men and 4.4 months for women. LE without cardiovascular and dementia morbidity decreased for men (2.6 months) and increased for women (1.9 months). CONCLUSIONS In relative terms, we found a compression of disability for both sexes and an expansion of morbidity for men. Although the trends overall are rather positive, the increase in absolute morbidity and, to some extent, in disability will inevitably mean increasing care needs with population aging.
Collapse
Affiliation(s)
- Linda Enroth
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Finland
| | - Jani Raitanen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Finland.,UKK Institute for Health Promotion Research, Tampere, Finland
| | - Pauliina Halonen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Finland
| | - Kristina Tiainen
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center, Tampere University, Finland
| |
Collapse
|
15
|
Autio A, Nevalainen T, Mishra BH, Jylhä M, Flinck H, Hurme M. Effect of aging on the transcriptomic changes associated with the expression of the HERV-K (HML-2) provirus at 1q22. Immun Ageing 2020; 17:11. [PMID: 32435269 PMCID: PMC7218820 DOI: 10.1186/s12979-020-00182-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/09/2019] [Accepted: 04/17/2020] [Indexed: 01/07/2023]
Abstract
Background The human genome contains remnants of ancient retroviral infections called human endogenous retroviruses (HERV). Their expression is often observed in several diseases of autoimmune or inflammatory nature. However, the exact biological mechanisms induced by HERVs are still poorly understood. We have previously shown that several HERVs of the HERV-K (HML-2) family are strongly transcribed in the peripheral blood mononuclear cells (PBMC) derived from young and old individuals. To examine the potential functional consequences of HERV-K (HML-2) expression, we have now analyzed the correlation of its expression with age-associated changes in the transcriptome using gene set enrichment analysis (GSEA). We focused our analysis on the HERV-K (HML-2) provirus at 1q22, also known as ERVK-7. Results The genes strongly correlating with the expression of HERV-K (HML-2) provirus at 1q22 expression were found to be almost entirely different in young and old individuals. The number of genes strongly correlating (Pearson correlation coefficient ≥ 0.7) with 1q22 expression was 946 genes in the old and 435 in the young, of which only 41 genes correlated strongly in both. Consequently, the related gene ontology (GO) biological processes were different. In the older individuals, many of the highest correlating processes relate to the function of neutrophils. Conclusions The results of this work suggest that the biological processes associated with the expression of HERV-K (HML-2) provirus at 1q22 are different in the blood of young and old individuals. Specifically, a strong association was found in the older individuals between neutrophil activity and the expression of the HERV-K (HML-2) provirus at 1q22. These findings offer insight into potential effects of altered HERV expression in older individuals.
Collapse
Affiliation(s)
- Arttu Autio
- 1Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland.,Gerontology Research Center (GEREC), Tampere, Finland
| | - Tapio Nevalainen
- 1Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland.,Gerontology Research Center (GEREC), Tampere, Finland.,3Science Centre, Pirkanmaa Hospital District, Tampere, Finland
| | - Binisha H Mishra
- 4Department of Clinical Chemistry, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,5Finnish Cardiovascular Research Centre, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland.,6Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center (GEREC), Tampere, Finland.,7Faculty of Social Sciences, Tampere University, Tampere, Finland
| | - Heini Flinck
- Department of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland
| | - Mikko Hurme
- 1Faculty of Medicine and Health Technology, Tampere University, Arvo Ylpön katu 34, 33520 Tampere, Finland.,Gerontology Research Center (GEREC), Tampere, Finland
| |
Collapse
|
16
|
Lisko I, Törmäkangas T, Jylhä M. Structure of self-rated health among the oldest old: Analyses in the total population and those living with dementia. SSM Popul Health 2020; 11:100567. [PMID: 32258355 PMCID: PMC7110410 DOI: 10.1016/j.ssmph.2020.100567] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2019] [Revised: 02/08/2020] [Accepted: 03/12/2020] [Indexed: 01/04/2023] Open
Abstract
No previous study has explored the structure of self-rated health (SRH), a measure holding strong predictive value for future health events, in the oldest old or in individuals with dementia. The aim was to construct a structural equation model of SRH for oldest old in general and for oldest old with dementia, and to explore direct and indirect associations between health-related factors and SRH. Cross-sectional data from the Vitality 90+, a population-based study in the city of Tampere, Finland, was used. Data were gathered by a mailed questionnaire in 2014. Altogether 1299 nonagenarians, of which 408 had self-reported dementia or cognitive decline, were included. Structural equation models were constructed for all participants and separately for participants with dementia. Diseases (heart disease, stroke, diabetes, arthritis, hip fracture, cancer and dementia for the model for all), dizziness, hearing, vision, mobility, activities of daily living, fatigue, depression and SRH were included in the models. Among all participants, fatigue, depression, problems in mobility, dizziness, deficits in vision and heart disease were directly associated with poor SRH. Among participants with dementia, only fatigue, dizziness and deficits in vision were directly associated with poor SRH. Among all participants, dementia and arthritis were indirectly associated with poor SRH through problems in mobility, depression and fatigue. Among the oldest old, the effects of diseases on SRH were mainly manifested through the consequences of diseases, namely fatigue, dizziness, deficits in vision and problems in mobility. Depression has an important direct and indirect role, and dementia and arthritis an important indirect role in the structure of SRH. Dementia weakens many of the direct and indirect associations for SRH. First study to explore structure of self-rated health in oldest old and persons with dementia. Fatigue, depression, mobility, dizziness, vision and heart disease directly affect health-rating in oldest old. Dementia, depression and arthritis affect health rating indirectly through various routes in oldest old. Dementia weakens many of the associations between objective indicators of health with self-rated health.
Collapse
Affiliation(s)
- Inna Lisko
- Tampere University, Faculty of Social Sciences (Health Sciences), P.O. Box 100, FI-33014, Finland.,Gerontology Research Center, Tampere University and University of Jyväskylä, Finland.,University of Jyväskylä, Faculty of Sport and Health Sciences, P.O. Box 35, FI-40014, Finland.,Karolinska Institutet, Division of Clinical Geriatrics, Center for Alzheimer Research, Department of Neurobiology, Care Sciences and Society, Stockholm, Karolinska Vägen 37 A, QA32, SE-171 64, Solna, Sweden
| | - Timo Törmäkangas
- Gerontology Research Center, Tampere University and University of Jyväskylä, Finland.,University of Jyväskylä, Faculty of Sport and Health Sciences, P.O. Box 35, FI-40014, Finland
| | - Marja Jylhä
- Tampere University, Faculty of Social Sciences (Health Sciences), P.O. Box 100, FI-33014, Finland.,Gerontology Research Center, Tampere University and University of Jyväskylä, Finland.,Science Center, Tampere University Hospital, Finland
| |
Collapse
|
17
|
Cardós JLH, Prieto M, Jylhä M, Aragón G, Molina MC, Martínez I, Rikkinen J. A case study on the re-establishment of the cyanolichen symbiosis: where do the compatible photobionts come from? Ann Bot 2019; 124:379-388. [PMID: 31329832 PMCID: PMC6798828 DOI: 10.1093/aob/mcz052] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2018] [Accepted: 03/19/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND AND AIMS In order to re-establish lichen symbiosis, fungal spores must first germinate and then associate with a compatible photobiont. To detect possible establishment limitations in a sexually reproducing cyanolichen species, we studied ascospore germination, photobiont growth and photobiont association patterns in Pectenia plumbea. METHODS Germination tests were made with ascospores from 500 apothecia under different treatments, and photobiont growth was analysed in 192 isolates obtained from 24 thalli. We determined the genotype identity [tRNALeu (UAA) intron] of the Nostoc cyanobionts from 30 P. plumbea thalli from one population. We also sequenced cyanobionts of 41 specimens of other cyanolichen species and 58 Nostoc free-living colonies cultured from the bark substrate. KEY RESULTS Not a single fungal ascospore germinated and none of the photobiont isolates produced motile hormogonia. Genetic analyses revealed that P. plumbea shares Nostoc genotypes with two other cyanolichen species of the same habitat, but these photobionts were hardly present in the bark substrate. CONCLUSIONS Due to the inability of both symbionts to thrive independently, the establishment of P. plumbea seems to depend on Dendriscocaulon umhausense, the only cyanolichen species in the same habitat that reproduces asexually and acts as a source of appropriate cyanobionts. This provides support to the hypothesis about facilitation among lichens.
Collapse
Affiliation(s)
- J L H Cardós
- Área de Biodiversidad y Conservación, ESCET, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
| | - M Prieto
- Área de Biodiversidad y Conservación, ESCET, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
| | - M Jylhä
- Department of Biology and Geology, Physics and Inorganic Chemistry, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland
| | - G Aragón
- Área de Biodiversidad y Conservación, ESCET, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
| | - M C Molina
- Área de Biodiversidad y Conservación, ESCET, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
| | - I Martínez
- Área de Biodiversidad y Conservación, ESCET, Universidad Rey Juan Carlos, Móstoles, Madrid, Spain
| | - J Rikkinen
- Department of Biology and Geology, Physics and Inorganic Chemistry, Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, Finland
- Finnish Museum of Natural History, University of Helsinki, Finland
| |
Collapse
|
18
|
Deelen J, Evans DS, Arking DE, Tesi N, Nygaard M, Liu X, Wojczynski MK, Biggs ML, van der Spek A, Atzmon G, Ware EB, Sarnowski C, Smith AV, Seppälä I, Cordell HJ, Dose J, Amin N, Arnold AM, Ayers KL, Barzilai N, Becker EJ, Beekman M, Blanché H, Christensen K, Christiansen L, Collerton JC, Cubaynes S, Cummings SR, Davies K, Debrabant B, Deleuze JF, Duncan R, Faul JD, Franceschi C, Galan P, Gudnason V, Harris TB, Huisman M, Hurme MA, Jagger C, Jansen I, Jylhä M, Kähönen M, Karasik D, Kardia SLR, Kingston A, Kirkwood TBL, Launer LJ, Lehtimäki T, Lieb W, Lyytikäinen LP, Martin-Ruiz C, Min J, Nebel A, Newman AB, Nie C, Nohr EA, Orwoll ES, Perls TT, Province MA, Psaty BM, Raitakari OT, Reinders MJT, Robine JM, Rotter JI, Sebastiani P, Smith J, Sørensen TIA, Taylor KD, Uitterlinden AG, van der Flier W, van der Lee SJ, van Duijn CM, van Heemst D, Vaupel JW, Weir D, Ye K, Zeng Y, Zheng W, Holstege H, Kiel DP, Lunetta KL, Slagboom PE, Murabito JM. A meta-analysis of genome-wide association studies identifies multiple longevity genes. Nat Commun 2019; 10:3669. [PMID: 31413261 PMCID: PMC6694136 DOI: 10.1038/s41467-019-11558-2] [Citation(s) in RCA: 168] [Impact Index Per Article: 33.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2018] [Accepted: 07/17/2019] [Indexed: 12/16/2022] Open
Abstract
Human longevity is heritable, but genome-wide association (GWA) studies have had limited success. Here, we perform two meta-analyses of GWA studies of a rigorous longevity phenotype definition including 11,262/3484 cases surviving at or beyond the age corresponding to the 90th/99th survival percentile, respectively, and 25,483 controls whose age at death or at last contact was at or below the age corresponding to the 60th survival percentile. Consistent with previous reports, rs429358 (apolipoprotein E (ApoE) ε4) is associated with lower odds of surviving to the 90th and 99th percentile age, while rs7412 (ApoE ε2) shows the opposite. Moreover, rs7676745, located near GPR78, associates with lower odds of surviving to the 90th percentile age. Gene-level association analysis reveals a role for tissue-specific expression of multiple genes in longevity. Finally, genetic correlation of the longevity GWA results with that of several disease-related phenotypes points to a shared genetic architecture between health and longevity.
Collapse
Affiliation(s)
- Joris Deelen
- Max Planck Institute for Biology of Ageing, 50866, Cologne, Germany.
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Daniel S Evans
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA.
| | - Dan E Arking
- McKusick-Nathans Institute of Genetic Medicine, Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Niccolò Tesi
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Marianne Nygaard
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Xiaomin Liu
- BGI-Shenzhen, Shenzhen, 518083, China
- China National Genebank, BGI-Shenzhen, Shenzhen, 518120, China
| | - Mary K Wojczynski
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Mary L Biggs
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
| | | | - Gil Atzmon
- Department of Biology, Faculty of Natural Science, University of Haifa, Haifa, 3498838, Israel
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Erin B Ware
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Chloé Sarnowski
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Albert V Smith
- School of Public Health, Department of Biostatistics, University of Michigan, Ann Arbor, MI, 48109, USA
- Icelandic Heart Association, 201, Kópavogur, Iceland
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Heather J Cordell
- Institute of Genetic Medicine, Newcastle University, Newcastle upon Tyne, NE1 3BZ, UK
| | - Janina Dose
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Najaf Amin
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Alice M Arnold
- Department of Biostatistics, University of Washington, Seattle, WA, 98115, USA
| | | | - Nir Barzilai
- Departments of Medicine and Genetics, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | | | - Marian Beekman
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | | | - Kaare Christensen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Clinical Biochemistry and Pharmacology, Odense University Hospital, 5000, Odense C, Denmark
- Department of Clinical Genetics, Odense University Hospital, 5000, Odense C, Denmark
| | - Lene Christiansen
- The Danish Aging Research Center, Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
- Department of Clinical Immunology, Copenhagen University Hospital, Rigshospitalet, 2100, Copenhagen, Denmark
| | - Joanna C Collerton
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Sarah Cubaynes
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
| | - Steven R Cummings
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Karen Davies
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Birgit Debrabant
- Department of Public Health, University of Southern Denmark, 5000, Odense C, Denmark
| | - Jean-François Deleuze
- Fondation Jean Dausset-CEPH, 75010, Paris, France
- Centre National de Recherche en Génomique Humaine, CEA-Institut de Biologie François Jacob, 91000, Evry, France
| | - Rachel Duncan
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Jessica D Faul
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Claudio Franceschi
- Department of Applied Mathematics and Centre of Bioinformatics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia
- IRCCS Institute of Neurological Sciences of Bologna (ISNB), 40124, Bologna, Italy
| | - Pilar Galan
- EREN, UMR U1153 Inserm/U1125 Inra/Cnam/Paris 13, Université Paris 13, CRESS, 93017, Bobigny, France
| | - Vilmundur Gudnason
- Icelandic Heart Association, 201, Kópavogur, Iceland
- Faculty of Medicine, University of Iceland, 101, Reykjavik, Iceland
| | - Tamara B Harris
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Martijn Huisman
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Amsterdam Public Health Research Institute, 1007 MB, Amsterdam, The Netherlands
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Health Technology, Tampere University, 33014, Tampere, Finland
| | - Carol Jagger
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Iris Jansen
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands
| | - Marja Jylhä
- Faculty of Social Sciences (Health Sciences) and Gerontology Research Center (GEREC), Tampere University, 33104, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33521, Tampere, Finland
| | - David Karasik
- Azrieli Faculty of Medicine, Bar Ilan University, Safed, 13010, Israel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
| | - Sharon L R Kardia
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Andrew Kingston
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Thomas B L Kirkwood
- Newcastle University Institute for Ageing, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Lenore J Launer
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, NIH, Bethesda, MD, 20892, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Wolfgang Lieb
- Institute of Epidemiology and Biobank PopGen, Kiel University, 24105, Kiel, Germany
| | - Leo-Pekka Lyytikäinen
- Department of Clinical Chemistry, Fimlab Laboratories and Finnish Cardiovascular Research Center-Tampere, Faculty of Medicine and Health Technology, Tampere University, 33520, Tampere, Finland
| | - Carmen Martin-Ruiz
- Institute of Neuroscience, Newcastle University, Newcastle upon Tyne, NE4 5PL, UK
| | - Junxia Min
- Institute of Translational Medicine, School of Medicine, Zhejiang University, Hangzhou, 311058, China
| | - Almut Nebel
- Institute of Clinical Molecular Biology, Kiel University, 24105, Kiel, Germany
| | - Anne B Newman
- Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, 15261, USA
| | - Chao Nie
- BGI-Shenzhen, Shenzhen, 518083, China
| | - Ellen A Nohr
- Research Unit of Gynecology and Obstetrics, Department of Clinical Research, University of Southern Denmark, 5000, Odense C, Denmark
| | - Eric S Orwoll
- Bone and Mineral Unit, Oregon Health Sciences University, Portland, OR, 97239, USA
| | - Thomas T Perls
- Department of Medicine, Geriatrics Section, Boston Medical Center, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Michael A Province
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, Saint Louis, MO, 63110, USA
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, 98101, USA
- Department of Epidemiology, University of Washington, Seattle, WA, 98101, USA
- Department of Health Services, University of Washington, Seattle, WA, 98101, USA
- Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Olli T Raitakari
- Department of Clinical Physiology and Nuclear Medicine, Turku University Hospital, 20521, Turku, Finland
- Research Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, 20014, Turku, Finland
| | - Marcel J T Reinders
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Jean-Marie Robine
- MMDN, Univ. Montpellier, EPHE, Unité Inserm 1198, PSL Research University, 34095, Montpellier, France
- CERMES3, UMR CNRS 8211-Unité Inserm 988-EHESS-Université Paris Descartes, 94801, Paris, France
| | - Jerome I Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Division of Genetic Outcomes, Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Paola Sebastiani
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - Jennifer Smith
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
- School of Public Health, Epidemiology, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, and Department of Public Health, Section of Epidemiology, Faculty of Health and Medical Sciences, University of Copenhagen, 2200, Copenhagen N, Denmark
- MRC Integrative Epidemiology Unit, Bristol University, BS8 2BN, Bristol, UK
| | - Kent D Taylor
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
- Department of Pediatrics, Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - André G Uitterlinden
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Department of Internal Medicine, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
| | - Wiesje van der Flier
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Epidemiology and Biostatistics, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Sven J van der Lee
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus MC, 3000 CA, Rotterdam, The Netherlands
- Nuffield Department of Population Health, University of Oxford, Oxford, OX3 7LF, UK
| | - Diana van Heemst
- Department of Gerontology and Geriatrics, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands
| | - James W Vaupel
- Max Planck Institute for Demographic Research, 18057, Rostock, Germany
| | - David Weir
- Institute for Social Research, Survey Research Center, University of Michigan, Ann Arbor, MI, 48104, USA
| | - Kenny Ye
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, 10461, USA
| | - Yi Zeng
- Center for Healthy Aging and Development Studies, National School of Development and Raissun Institute for Advanced Studies, Peking University, 100871, Beijing, China
- Center for the Study of Aging and Human Development and Geriatrics Division, Medical School of Duke University, Durham, NC, 27710, USA
| | - Wanlin Zheng
- California Pacific Medical Center Research Institute, San Francisco, CA, 94158, USA
| | - Henne Holstege
- Alzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Department of Clinical Genetics, Amsterdam UMC, 1007 MB, Amsterdam, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, 2600 GA, Delft, The Netherlands
| | - Douglas P Kiel
- Hinda and Arthur Marcus Institute for Aging Research, Hebrew SeniorLife, Boston, MA, 02131, USA
- Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, 02215, USA
- Broad Institute of MIT & Harvard, Cambridge, MA, 02142, USA
| | - Kathryn L Lunetta
- Department of Biostatistics, Boston University School of Public Health, Boston, MA, 02118, USA
| | - P Eline Slagboom
- Molecular Epidemiology, Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC, Leiden, The Netherlands.
| | - Joanne M Murabito
- NHLBI's and Boston University's Framingham Heart Study, Framingham, MA, 01702, USA.
- Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA.
| |
Collapse
|
19
|
Nevalainen T, Autio A, Kummola L, Salomaa T, Junttila I, Jylhä M, Hurme M. CD27- IgD- B cell memory subset associates with inflammation and frailty in elderly individuals but only in males. Immun Ageing 2019; 16:19. [PMID: 31423147 PMCID: PMC6693136 DOI: 10.1186/s12979-019-0159-6] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/25/2019] [Accepted: 08/02/2019] [Indexed: 01/08/2023]
Abstract
Background Immunosenescence, i.e. the aging-associated decline of the capacity of the immune system, is characterized by several distinct changes in the number and functions of the immune cells. In the case of B cells, the total number of CD19+ B cells is lower in the blood of elderly individuals than in the younger ones. CD19+ B cell population contains several subsets, which are commonly characterized by the presence of CD27 and IgD molecules, i.e. naïve B cells (CD27- IgD+), IgM memory (CD27+ IgD+), switched memory (CD27+ IgD-) and late memory (CD27- IgD-). This late memory, double negative, population represents cells which are nondividing, but are still able to produce inflammatory mediators and in this way maybe contributing to the aging-associated inflammation, inflammaging. Here we have focused on the role of these B cell subsets in elderly individuals, nonagenarians, in the regulation of inflammation and inflammation-associated decline of bodily functions. As the biological aging process demonstrates gender-specific characteristics, the analyses were performed separately in males and female. Results A subcohort of The Vitality 90+ study (67 nonagenarians, 22/45 males/females and 40 young controls, 13/27 males/females) was used. Flow cytometric analysis indicated that the total percentage of the CD19+ cells was ca. 50% lower in the nonagenarians than in the controls in both genders. The proportions of these four B cell subsets within the CD19+ populations were very similar in young and old individuals. Thus, it seems that the aging-associated decline of the total CD19+ cells affects similarly all these B cell subsets. To analyze the role of these subsets in the regulation of inflammation, the correlation with IL-6 levels was calculated. A significant correlation was observed only with the percentage of CD27- IgD- cells and only in males. As inflammation is associated with aging-associated functional performance and frailty, the correlations with the Barthel index and frailty score was analyzed. Again, only the CD27- IgD- population demonstrated a strong male-specific correlation. Conclusions These data show that the CD27- IgD- B cell subset demonstrates a strong pro-inflammatory effect in nonagenarians, which significantly associates with the decline of the bodily functions. However, this phenomenon is only observed in males.
Collapse
Affiliation(s)
- Tapio Nevalainen
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.,3Gerontology Research Center, Tampere University, Tampere, Finland.,4Science Centre, Pirkanmaa Hospital District, Tampere, Finland
| | - Arttu Autio
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.,3Gerontology Research Center, Tampere University, Tampere, Finland.,4Science Centre, Pirkanmaa Hospital District, Tampere, Finland
| | - Laura Kummola
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland
| | - Tanja Salomaa
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland
| | - Ilkka Junttila
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.,Department of Clinical Microbiology, Fimlab Laboratories, Tampere, Finland
| | - Marja Jylhä
- 2Faculty of Social Sciences, Tampere University, Tampere, Finland.,3Gerontology Research Center, Tampere University, Tampere, Finland
| | - Mikko Hurme
- 1Faculty of Medicine and Health Technology, Tampere University, FI-33014 Tampere, Finland.,3Gerontology Research Center, Tampere University, Tampere, Finland
| |
Collapse
|
20
|
Halonen P, Raitanen J, Jämsen E, Enroth L, Jylhä M. Chronic conditions and multimorbidity in population aged 90 years and over: associations with mortality and long-term care admission. Age Ageing 2019; 48:564-570. [PMID: 30843581 DOI: 10.1093/ageing/afz019] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Revised: 01/18/2019] [Accepted: 02/11/2019] [Indexed: 01/28/2023] Open
Abstract
BACKGROUND prevalence of many chronic conditions is rising in the aging population worldwide. However, the long-term impact of these conditions and multimorbidity on other health outcomes in very old age is rarely studied. METHODS the data were based on four waves of the Vitality 90+ Study conducted in 2001, 2003, 2007 and 2010. Associations of chronic conditions and multimorbidity with mortality were analysed in a total sample of 2,862 people aged over 90, and associations with long-term care (LTC) admission in a subsample of 1,954 participants living at home in baseline. Risk of death and LTC admission were assessed with Cox and competing risks regression with time-dependent covariates. Population attributable fractions (PAF) for mortality and LTC admission were calculated for chronic conditions based on the regression models. RESULTS heart disease, diabetes and dementia predicted mortality in men and women. In addition, depression was associated with increased mortality in women. Parkinson's disease, dementia and hip fracture predicted LTC admission in women. Multimorbidity increased the risk of death and LTC admission in women but not in men. For both genders, dementia had the highest PAF for mortality and LTC admission. CONCLUSION heart disease and diabetes are still important predictors of mortality in very old age. However, the role of dementia is pronounced in this age group. Of the studied conditions, dementia is the main contributor both to mortality and LTC admission. Multimorbidity has predictive value concerning both mortality and LTC admission, at least in oldest old women.
Collapse
Affiliation(s)
- Pauliina Halonen
- Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
| | - Jani Raitanen
- Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Esa Jämsen
- Gerontology Research Center (GEREC), Tampere, Finland
- Tampere University, Faculty of Medicine and Health Technology, Tampere, Finland
- Tampere University Hospital, Centre of Geriatrics, Tampere, Finland
| | - Linda Enroth
- Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
| | - Marja Jylhä
- Tampere University, Faculty of Social Sciences (Health Sciences), Tampere, Finland
- Gerontology Research Center (GEREC), Tampere, Finland
| |
Collapse
|
21
|
Nevalainen T, Autio A, Mishra BH, Marttila S, Jylhä M, Hurme M. Aging-associated patterns in the expression of human endogenous retroviruses. PLoS One 2018; 13:e0207407. [PMID: 30513106 PMCID: PMC6279030 DOI: 10.1371/journal.pone.0207407] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 10/30/2018] [Indexed: 11/18/2022] Open
Abstract
Human endogenous retroviruses (HERV) are relics of ancient retroviral infections in our genome. Most of them have lost their coding capacity, but proviral RNA or protein have been observed in several disease states (e.g. in inflammatory and autoimmune diseases and malignancies). However, their clinical significance as well as their mechanisms of action have still remained elusive. As human aging is associated with several biological characteristics of these diseases, we now analyzed the aging-associated expression of the individual proviruses of two HERV families, HERV-K (91 proviruses) and HERV-W (213 proviruses) using genome-wide RNA-sequencing (RNA-seq). RNA was purified from blood cells derived from healthy young individuals (n = 7) and from nonagenarians (n = 7). The data indicated that in the case of HERV-K (HML-2) 33 proviruses had a detectable expression but in only 3 of those the expression levels were significantly different between the young and old individuals. In the HERV-W family expression was observed in 45 loci and only in one case the young/old difference was significant. However, applying hierarchical clustering on the HERV expression data resulted in the formation of two distinct clusters, one containing the young individuals and another the nonagenarians. This suggests, that even though the aging-associated differences in the expression levels of individual proviruses are minor, there seems to be some underlying aging-related pattern. These data indicate that aging does not have a strong effect on the expression of individual HERV proviruses, but instead several proviruses are affected moderately, leading to age-dependent expression profiles.
Collapse
Affiliation(s)
- Tapio Nevalainen
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
- Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
- * E-mail:
| | - Arttu Autio
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
| | | | - Saara Marttila
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
- Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
- Faculty of Social Sciences, University of Tampere, Tampere, Finland
| | - Mikko Hurme
- Faculty of Medicine and Life Sciences, University of Tampere, Tampere, Finland
- Gerontology Research Center (GEREC), University of Tampere, Tampere, Finland
| |
Collapse
|
22
|
Ozsait‐Selcuk B, Komurcu‐Bayrak E, Jylhä M, Luukkaala T, Perola M, Kristiansson K, Mononen N, Hurme M, Kähönen M, Goebeler S, Laaksonen R, Hervonen A, Erginel‐Unaltuna N, Karhunen P, Lehtimäki T. The
rs2516839
variation of
USF1
gene is associated with 4‐year mortality of nonagenarian women: The Vitality 90+ study. Ann Hum Genet 2018; 83:34-45. [DOI: 10.1111/ahg.12282] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Revised: 07/17/2018] [Accepted: 07/30/2018] [Indexed: 11/29/2022]
Affiliation(s)
- B. Ozsait‐Selcuk
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine Istanbul University Istanbul Turkey
| | - E. Komurcu‐Bayrak
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine Istanbul University Istanbul Turkey
| | - M. Jylhä
- Gerontology Research Center (GEREC), University of Tampere; School of Health Sciences University of Tampere Tampere Finland
| | - T. Luukkaala
- Tampere School of Health Sciences, University of Tampere, Tampere; Science Center Pirkanmaa Hospital District Finland
| | - M. Perola
- Department of Health National Institute for Health and Welfare Helsinki Finland
| | - K. Kristiansson
- Department of Microbiology and Immunology, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| | - N. Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| | - M. Hurme
- Department of Microbiology and Immunology, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| | - M. Kähönen
- Department of Clinical Physiology, Tampere University Hospital, and Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| | - S. Goebeler
- Department of Forensic Medicine, University of Tampere, Fimlab Laboratories Pirkanmaa Hospital District Tampere Finland
| | - R. Laaksonen
- Medical School, University of Tampere; Finnish Clinical Biobank University Hospital of Tampere Tampere Finland
| | - A. Hervonen
- Gerontology Research Center (GEREC), University of Tampere; School of Health Sciences University of Tampere Tampere Finland
| | - N. Erginel‐Unaltuna
- Department of Genetics, Aziz Sancar Institute of Experimental Medicine Istanbul University Istanbul Turkey
| | - P.J. Karhunen
- Department of Clinical Chemistry, Fimlab Laboratories, and Department of Forensic Medicine, Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| | - T. Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, and Finnish Cardiovascular Research Center ‐ Tampere, Faculty of Medicine and Life Sciences University of Tampere Tampere Finland
| |
Collapse
|
23
|
Kauppi M, Raitanen J, Stenholm S, Aaltonen M, Enroth L, Jylhä M. Predictors of long-term care among nonagenarians: the Vitality 90 + Study with linked data of the care registers. Aging Clin Exp Res 2018; 30:913-919. [PMID: 29222731 DOI: 10.1007/s40520-017-0869-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2017] [Accepted: 11/27/2017] [Indexed: 11/28/2022]
Abstract
BACKGROUND The need for long-term care services increases with age. However, little is known about the predictors of long-term care (LTC) entry among the oldest old. AIMS Aim of this study was to assess predictors of LTC entry in a sample of men and women aged 90 years and older. METHODS This study was based on the Vitality 90 + Study, a population-based study of nonagenarians in the city of Tampere, Finland. Baseline information about health, functioning and living conditions were collected by mailed questionnaires. Information about LTC was drawn from care registers during the follow-up period extending up to 11 years. Cox regression models were used for the analyses, taking into account the competing risk of mortality. RESULTS During the mean follow-up period of 2.3 years, 844 (43%) subjects entered first time into LTC. Female gender (HR 1.39, 95% CI 1.14-1.69), having at least two chronic conditions (HR 1.24, 95% CI 1.07-1.44), living alone (HR 1.37, 95% CI 1.15-1.63) and help received sometimes (HR 1.23, 95% CI 1.02-1.49) or daily (HR 1.68, 95% CI 1.38-2.04) were independent predictors of LTC entry. CONCLUSION Risk of entering into LTC was increased among women, subjects with at least two chronic conditions, those living alone and with higher level of received help. Since number of nonagenarians will increase and the need of care thereby, it is essential to understand predictors of LTC entry to offer appropriate care for the oldest old in future.
Collapse
Affiliation(s)
- Maarit Kauppi
- Finnish Institute of Occupational Health, Turku, Finland.
- Gerontology Research Center, University of Tampere, Tampere, Finland.
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland.
| | - Jani Raitanen
- Gerontology Research Center, University of Tampere, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland
- UKK Institute for Health Promotion Research, Tampere, Finland
| | - Sari Stenholm
- Gerontology Research Center, University of Tampere, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland
- Department of Public Health, University of Turku, Turku, Finland
| | - Mari Aaltonen
- Gerontology Research Center, University of Tampere, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland
| | - Linda Enroth
- Gerontology Research Center, University of Tampere, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, University of Tampere, Tampere, Finland
- Faculty of Social Sciences (Health Sciences), University of Tampere, Tampere, Finland
| |
Collapse
|
24
|
Jørgensen TSH, Fors S, Nilsson CJ, Enroth L, Aaltonen M, Sundberg L, Brønnum-Hansen H, Strand BH, Chang M, Jylhä M. Ageing populations in the Nordic countries: Mortality and longevity from 1990 to 2014. Scand J Public Health 2018; 47:611-617. [PMID: 29886814 DOI: 10.1177/1403494818780024] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Aims: Cross-country comparisons of mortality and longevity patterns of Nordic populations could contribute with novel insights into the compositional changes of these populations. We investigated three metrics of population ageing: the proportion of the population aged 75+ and 90+ years, the proportion of birth cohorts reaching 75 and 90 years, and life expectancy (LE) at age 75 and 90 years in Sweden, Norway, Iceland, Denmark and Finland, in the period 1990-2014. Methods: Demographic information was collected from national statistical databases and the Human Mortality Database. Results: All metrics on population ageing increased during the study period, but there were some cross-country variations. Finland experienced a notably steep increase in the proportion of 75+ and 90+ year olds compared to the other countries. Regarding the proportion reaching old ages, the Finnish lagged behind from the beginning, but females decreased this difference. The Danes were more similar to the other countries at the beginning, but did not experience the same increase over time. Gender-specific LE at age 75 and 90 years was similar overall in the five countries. Conclusions: Developments in cross-country variation suggest that survival until old age has become more similar for Finnish females and more different for Danish males and females compared with the other countries in recent decades. This provides perspectives on the potential to improve longevity in Denmark and Finland. Similarities in LE in old age suggest that expected mortality in old age has been more similar throughout the study period.
Collapse
Affiliation(s)
- Terese Sara Høj Jørgensen
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen K, Denmark
| | - Stefan Fors
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden
| | - Charlotte Juul Nilsson
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark.,Center for Healthy Aging, University of Copenhagen, Copenhagen K, Denmark
| | - Linda Enroth
- Faculty of Social Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| | - Mari Aaltonen
- Faculty of Social Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland.,Institute for Advanced Social Research, University of Tampere, Finland
| | - Louise Sundberg
- Aging Research Center, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet and Stockholm University, Sweden
| | - Henrik Brønnum-Hansen
- Section of Social Medicine, Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Bjørn Heine Strand
- Department of Chronic Diseases and Ageing, Norwegian Institute of Public Health Oslo, Norway
| | - Milan Chang
- The Icelandic Gerontological Research Center, Landspitali University Hospital and University of Iceland, Reykjavik, Iceland.,Faculty of Health Promotion, Sport and Leisure Studies University of Iceland, Reykjavík, Iceland
| | - Marja Jylhä
- Faculty of Social Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| |
Collapse
|
25
|
Forma L, Aaltonen M, Pulkki J, Raitanen J, Rissanen P, Jylhä M. Long-term care is increasingly concentrated in the last years of life: a change from 2000 to 2011. Eur J Public Health 2018; 27:665-669. [PMID: 28339763 DOI: 10.1093/eurpub/ckw260] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
Background The use of long-term care (LTC) is common in very old age and in the last years of life. It is not known how the use pattern is changing as death is being postponed to increasingly old age. The aim is to analyze the association between the use of LTC and approaching death among old people and the change in this association from 2000 to 2011. Methods The data were derived from national registers. The study population consists of 315 458 case-control pairs. Cases (decedents) were those who died between 2000 and 2011 at the age of 70 years or over in Finland. The matched controls (survivors) lived at least 2 years longer. Use of LTC was studied for the last 730 days for decedents and for the same calendar days for survivors. Conditional logistic regression analyses were performed to test the association of LTC use with decedent status and year. Results The difference in LTC use between decedents and survivors was smallest among the oldest (OR 9.91 among youngest, 4.96 among oldest). The difference widened from 2000 to 2011 (OR of interaction of LTC use and year increased): use increased or held steady among decedents, but decreased among survivors. Conclusions The use of LTC became increasingly concentrated in the last years of life during the study period. The use of LTC is also common among the oldest survivors. As more people live to very old age, the demand for LTC will increase.
Collapse
Affiliation(s)
- Leena Forma
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland.,Institute for Advanced Social Research, University of Tampere, Finland
| | - Mari Aaltonen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| | - Jutta Pulkki
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| | - Jani Raitanen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland.,UKK-Institute for Health Promotion Research, Tampere, Finland
| | - Pekka Rissanen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, Finland
| |
Collapse
|
26
|
Lehto V, Jolanki O, Valvanne J, Seinelä L, Jylhä M. Understanding functional ability: Perspectives of nurses and older people living in long-term care. J Aging Stud 2017; 43:15-22. [PMID: 29173510 DOI: 10.1016/j.jaging.2017.09.001] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 08/22/2017] [Accepted: 09/01/2017] [Indexed: 11/25/2022]
Abstract
The functional ability of older people has come to play a significant role in their care. Policies and public debate promote active aging and the need to maintain functioning in old age, including among older people living in long-term care. This study explores the meanings given to functional ability in the interview talk of long-term care nurses (n=24) and older people living in long-term care (n=16). The study is based on discourse analysis and positioning theory. In this study, accounts of functioning differed between nurses and older residents. For the nurses, functional ability was about the basic functions of everyday life, and they often used formal and theoretical language, whereas for older long-term care residents, functional ability was a more versatile concept. Being active was promoted, particularly in the nurses' talk but also sometimes in residents' talk, thereby reflecting the public discourse about functioning. In their talk, the nurses positioned themselves in relation to functional ability as competent professionals and active caregivers. In residents' talk, we found three positions: an active individual taking care of him or herself, a recipient of help, and a burden to nurses. To move in a direction that promotes activity and rehabilitative care, a better understanding of older people's individual needs and their own views of functional ability is needed.
Collapse
Affiliation(s)
- Vilhelmiina Lehto
- Faculty of Social Sciences, University of Tampere, Finland; Gerontology Research Center, University of Tampere, University of Jyväskylä, Finland.
| | - Outi Jolanki
- Department of Social Sciences and Philosophy, University of Jyväskylä, Finland; Faculty of Social Sciences, University of Tampere, Finland; Gerontology Research Center, University of Tampere, University of Jyväskylä, Finland
| | - Jaakko Valvanne
- Faculty of Medicine and Life Sciences, University of Tampere, Finland; Gerontology Research Center, University of Tampere, University of Jyväskylä, Finland; Geriatric Unit, Tampere University Hospital, Finland; Social Services and Outpatient Care, Welfare Services, Tampere, Finland
| | - Lauri Seinelä
- Faculty of Medicine and Life Sciences, University of Tampere, Finland; Gerontology Research Center, University of Tampere, University of Jyväskylä, Finland; Purchaser for the Promotion for senior citizens welfare, Tampere, Finland; Pirkanmaan erikoislääkäripalvelu Oy, Tampere, Finland
| | - Marja Jylhä
- Faculty of Social Sciences, University of Tampere, Finland; Gerontology Research Center, University of Tampere, University of Jyväskylä, Finland
| |
Collapse
|
27
|
Jylhävä J, Kananen L, Raitanen J, Marttila S, Nevalainen T, Hervonen A, Jylhä M, Hurme M. Methylomic predictors demonstrate the role of NF-κB in old-age mortality and are unrelated to the aging-associated epigenetic drift. Oncotarget 2017; 7:19228-41. [PMID: 27015559 PMCID: PMC4991378 DOI: 10.18632/oncotarget.8278] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2015] [Accepted: 03/10/2016] [Indexed: 01/24/2023] Open
Abstract
Changes in the DNA methylation (DNAm) landscape have been implicated in aging and cellular senescence. To unravel the role of specific DNAm patterns in late-life survival, we performed genome-wide methylation profiling in nonagenarians (n=111) and determined the performance of the methylomic predictors and conventional risk markers in a longitudinal setting. The survival model containing only the methylomic markers was superior in terms of predictive accuracy compared with the model containing only the conventional predictors or the model containing conventional predictors combined with the methylomic markers. At the 2.55-year follow-up, we identified 19 mortality-associated (false-discovery rate <0.5) CpG sites that mapped to genes functionally clustering around the nuclear factor kappa B (NF-κB) complex. Interestingly, none of the mortality-associated CpG sites overlapped with the established aging-associated DNAm sites. Our results are in line with previous findings on the role of NF-κB in controlling animal life spans and demonstrate the role of this complex in human longevity.
Collapse
Affiliation(s)
- Juulia Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Laura Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Jani Raitanen
- School of Health Sciences, University of Tampere, Tampere, Finland.,UKK Institute for Health Promotion Research, Tampere, Finland
| | - Saara Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Tapio Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland
| | - Antti Hervonen
- Gerontology Research Center, University of Tampere, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, University of Tampere, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Mikko Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, University of Tampere, Tampere, Finland.,Fimlab Laboratories, Tampere, Finland
| |
Collapse
|
28
|
Masuchi Y, Jylhä M, Raitanen J, Aaltonen M. Changes in place of death among people with dementia in Finland between 1998 and 2013: A register study. Alzheimers Dement (Amst) 2017; 10:86-93. [PMID: 29255788 PMCID: PMC5724746 DOI: 10.1016/j.dadm.2017.10.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
INTRODUCTION The place of death is suggested as a quality indicator for end-of-life care. We investigated how the place of death changed between 1998 and 2013 among people with dementia. METHODS Data from the Finnish national health and social care registers were extracted for all people with dementia, who had died at 70 years old during these years (N = 140,034). Descriptive analysis and logistic regression analysis were conducted. RESULTS In 2013, the most common place of death was the primary care hospital (39.8%), followed by nursing home and sheltered housing with 24-hour assistance (20.5%). Dying at home was rare (8.1%). During the study years, dying in the hospital decreased while dying in sheltered housing with 24-hour assistance increased. DISCUSSION The place of death for people with dementia has changed from institutions to noninstitutional care facilities. Further research on noninstitutional care facilities' ability to provide high-quality care at the end of life is needed.
Collapse
Affiliation(s)
- Yaeko Masuchi
- Faculty of Social Sciences and Gerontology Research Centre, University of Tampere, Tampere, Finland
- California Southland Chapter, Alzheimer's Association, Los Angeles, CA, USA
| | - Marja Jylhä
- Faculty of Social Sciences and Gerontology Research Centre, University of Tampere, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences and Gerontology Research Centre, University of Tampere, Tampere, Finland
| | - Mari Aaltonen
- Faculty of Social Sciences and Gerontology Research Centre, University of Tampere, Tampere, Finland
| |
Collapse
|
29
|
Marttila S, Nevalainen T, Jylhävä J, Kananen L, Jylhä M, Hervonen A, Hurme M. Human endogenous retrovirus HERV-K(HML-2) env expression is not associated with markers of immunosenescence. Exp Gerontol 2017; 97:60-63. [PMID: 28774724 DOI: 10.1016/j.exger.2017.07.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2017] [Revised: 06/09/2017] [Accepted: 07/31/2017] [Indexed: 11/17/2022]
Abstract
Ageing of the human immune system, or immunosenescence, is characterised by distinct changes in the proportion of the various cell types, e.g., increase of the CD14+ monocytic cells, decrease of CD19+ B lymphocytes, and changes in T cell subpopulations, namely increase of CD4+ and CD8+ cells which have lost the costimulatory CD28 antigen. Currently, it is believed that the lifelong antigenic burden may be one of the inducers of immunosenescence. Thus far, only one exogenous stimulus, cytomegalovirus infection, has shown to be a major factor in this respect. To find other possible candidates, we evaluated the role of the evolutionary youngest group of human endogenous retroviruses, namely HERV-K(HML-2), on immunosenescence. HERVs exist in the genome as proviruses, but their activation has been detected in several immunopathologic conditions. The expression of HERV-K(HML-2) env was observed to be lower in the peripheral blood mononuclear cells of nonagenarians (n=61) than in those of young controls (n=37). These mRNA levels did not correlate with the age-associated differences in the proportions of CD14+, CD4+CD28- and CD8+CD28- cells, but in the case of CD19+ B cells a strong positive correlation was observed in the nonagenarians. Thus, these data suggest that HERVs do not function as antigenic drivers of immunosenescence. On the contrary, expression of HERV-K(HML-2) env is associated with more youthful levels of B cells.
Collapse
Affiliation(s)
- Saara Marttila
- Faculty of Medicine and Biosciences, University of Tampere, Tampere, Finland.
| | - Tapio Nevalainen
- Faculty of Medicine and Biosciences, University of Tampere, Tampere, Finland.
| | - Juulia Jylhävä
- Faculty of Medicine and Biosciences, University of Tampere, Tampere, Finland.
| | - Laura Kananen
- Faculty of Medicine and Biosciences, University of Tampere, Tampere, Finland.
| | - Marja Jylhä
- Faculty of Social Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland.
| | - Antti Hervonen
- Faculty of Social Sciences and Gerontology Research Center, University of Tampere, Tampere, Finland.
| | - Mikko Hurme
- Faculty of Medicine and Biosciences, University of Tampere, Tampere, Finland.
| |
Collapse
|
30
|
Joshi PK, Pirastu N, Kentistou KA, Fischer K, Hofer E, Schraut KE, Clark DW, Nutile T, Barnes CLK, Timmers PRHJ, Shen X, Gandin I, McDaid AF, Hansen TF, Gordon SD, Giulianini F, Boutin TS, Abdellaoui A, Zhao W, Medina-Gomez C, Bartz TM, Trompet S, Lange LA, Raffield L, van der Spek A, Galesloot TE, Proitsi P, Yanek LR, Bielak LF, Payton A, Murgia F, Concas MP, Biino G, Tajuddin SM, Seppälä I, Amin N, Boerwinkle E, Børglum AD, Campbell A, Demerath EW, Demuth I, Faul JD, Ford I, Gialluisi A, Gögele M, Graff M, Hingorani A, Hottenga JJ, Hougaard DM, Hurme MA, Ikram MA, Jylhä M, Kuh D, Ligthart L, Lill CM, Lindenberger U, Lumley T, Mägi R, Marques-Vidal P, Medland SE, Milani L, Nagy R, Ollier WER, Peyser PA, Pramstaller PP, Ridker PM, Rivadeneira F, Ruggiero D, Saba Y, Schmidt R, Schmidt H, Slagboom PE, Smith BH, Smith JA, Sotoodehnia N, Steinhagen-Thiessen E, van Rooij FJA, Verbeek AL, Vermeulen SH, Vollenweider P, Wang Y, Werge T, Whitfield JB, Zonderman AB, Lehtimäki T, Evans MK, Pirastu M, Fuchsberger C, Bertram L, Pendleton N, Kardia SLR, Ciullo M, Becker DM, Wong A, Psaty BM, van Duijn CM, Wilson JG, Jukema JW, Kiemeney L, Uitterlinden AG, Franceschini N, North KE, Weir DR, Metspalu A, Boomsma DI, Hayward C, Chasman D, Martin NG, Sattar N, Campbell H, Esko T, Kutalik Z, Wilson JF. Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity. Nat Commun 2017; 8:910. [PMID: 29030599 PMCID: PMC5715013 DOI: 10.1038/s41467-017-00934-5] [Citation(s) in RCA: 86] [Impact Index Per Article: 12.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2017] [Accepted: 08/08/2017] [Indexed: 01/03/2023] Open
Abstract
Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents’ survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan. Variability in human longevity is genetically influenced. Using genetic data of parental lifespan, the authors identify associations at HLA-DQA/DRB1 and LPA and find that genetic variants that increase educational attainment have a positive effect on lifespan whereas increasing BMI negatively affects lifespan.
Collapse
Affiliation(s)
- Peter K Joshi
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.
| | - Nicola Pirastu
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Katherine A Kentistou
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.,Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, Scotland
| | - Krista Fischer
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Edith Hofer
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036, Austria.,Institute of Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, 8036, Austria
| | - Katharina E Schraut
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.,Centre for Cardiovascular Sciences, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, EH16 4TJ, Scotland
| | - David W Clark
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Teresa Nutile
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, 80131, Italy
| | - Catriona L K Barnes
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Paul R H J Timmers
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Xia Shen
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.,Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-171 77, Stockholm, Sweden
| | - Ilaria Gandin
- Department of Medical Sciences, University of Trieste, Trieste, 34100, Italy.,Institute for Maternal and Child Health, IRCCS "Burlo Garofolo", Trieste, 34137, Italy
| | - Aaron F McDaid
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, 1010, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - Thomas Folkmann Hansen
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, DK-4000, Denmark.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, DK-8000, Denmark
| | - Scott D Gordon
- QIMR Berghofer Institute of Medical Research, Brisbane, QLD, 4006, Australia
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA
| | - Thibaud S Boutin
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Abdel Abdellaoui
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, Amsterdam Public Health Institute (APH), Amsterdam, 1081BT, Netherlands
| | - Wei Zhao
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Carolina Medina-Gomez
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Traci M Bartz
- Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, 98101, USA
| | - Stella Trompet
- Section of Gerontology and Geriatrics, Department of Internal Medicine, Leiden University Medical Center, Leiden, 2300RC, The Netherlands.,Department of Cardiology, Leiden University Medical Center, Leiden, 2300RC, The Netherlands
| | - Leslie A Lange
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, 80045, USA
| | - Laura Raffield
- Department of Genetics, University of North Carolina, Chapel Hill, NC, 27599, USA
| | - Ashley van der Spek
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Tessel E Galesloot
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, 6500 HB, The Netherlands
| | - Petroula Proitsi
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, WC1B 5JU, UK
| | - Lisa R Yanek
- Department of Medicine, GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Lawrence F Bielak
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Antony Payton
- Centre for Epidemiology, Division of Population Health, Health Services Research & Primary Care, The University of Manchester, Manchester, Greater, Manchester, M13 9PL, UK
| | - Federico Murgia
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, 39100, Italy
| | - Maria Pina Concas
- Institute of Genetic and Biomedical Research - Support Unity, National Research Council of Italy, Sassari, 07100, Italy
| | - Ginevra Biino
- Institute of Molecular Genetics, National Research Council of Italy, Pavia, 27100, Italy
| | - Salman M Tajuddin
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, MD, 21224, USA
| | - Ilkka Seppälä
- Department of Clinical Chemistry, Fimlab Laboratories and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - Najaf Amin
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Eric Boerwinkle
- Health Science Center at Houston, UTHealth School of Public Health, University of Texas, Houston, TX, 77030, USA
| | - Anders D Børglum
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, DK-8000, Denmark.,Department of Biomedicine-Human Genetics, Aarhus University, DK-8000, Aarhus C, Denmark.,Centre for Integrative Sequencing, iSEQ, Aarhus University, DK-8000, Aarhus C, Denmark
| | - Archie Campbell
- Centre for Genomic & Experimental Medicine, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, EH4 2XU, UK
| | - Ellen W Demerath
- Division of Epidemiology & Community Health, School of Public Health, University of Minnesota, Minneapolis, MN, 55454, USA
| | - Ilja Demuth
- Charité Research Group on Geriatrics, Charité, Universitätsmedizin Berlin, Berlin, 13347, Germany.,Lipid Clinic at the Interdisciplinary Metabolism Center, Charité, Universitätsmedizin Berlin, Berlin, 13353, Germany.,Institute for Medical and Human Genetics, Charité, Universitätsmedizin Berlin, Berlin, 13353, Germany
| | - Jessica D Faul
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - Ian Ford
- Robertson Center for biostatistics, University of Glasgow, Glasgow, G12 8QQ, UK
| | | | - Martin Gögele
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, 39100, Italy
| | - MariaElisa Graff
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Aroon Hingorani
- Institute of Cardiovascular Science, University College London, London, WC1E 6BT, UK
| | - Jouke-Jan Hottenga
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, Amsterdam Public Health Institute (APH), Amsterdam, 1081BT, Netherlands
| | - David M Hougaard
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, DK-8000, Denmark.,Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, 2300, Denmark
| | - Mikko A Hurme
- Department of Microbiology and Immunology, Fimlab Laboratories and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - M Arfan Ikram
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Marja Jylhä
- Gerontology Research Center, Tampere, Finland, Faculty of Social Sciences, University of Tampere, Tampere, 33104, Finland
| | - Diana Kuh
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, WC1B 5JU, UK
| | - Lannie Ligthart
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, Amsterdam Public Health Institute (APH), Amsterdam, 1081BT, Netherlands
| | - Christina M Lill
- Genetic and Molecular Epidemiology Group, Institute of Neurogenetics, University of Lübeck, 23562, Lübeck, Germany
| | - Ulman Lindenberger
- Center for Lifespan Psychology, Max Planck Institute for Human Development, Berlin, 14195, Germany.,Max Planck UCL Centre for Computational Psychiatry and Ageing Research, Berlin, 14195, Germany
| | - Thomas Lumley
- Department of Statistics, University of Auckland, Auckland, 1010, New Zealand
| | - Reedik Mägi
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Sarah E Medland
- QIMR Berghofer Institute of Medical Research, Brisbane, QLD, 4006, Australia
| | - Lili Milani
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Reka Nagy
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - William E R Ollier
- Division of Population Health, Health Services Research & Primary Care, School of Health Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, Greater Manchester, M13 9PL, UK
| | - Patricia A Peyser
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Peter P Pramstaller
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, 39100, Italy
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA.,TH Chan School of Public Health, Harvard Medical School, Boston, MA, 02115, USA
| | - Fernando Rivadeneira
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Daniela Ruggiero
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, 80131, Italy
| | - Yasaman Saba
- Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, 8010, Austria
| | - Reinhold Schmidt
- Clinical Division of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, 8036, Austria
| | - Helena Schmidt
- Austrian Stroke Prevention Study, Institute of Molecular Biology and Biochemistry, Centre for Molecular Medicine, Medical University of Graz, Graz, 8010, Austria
| | - P Eline Slagboom
- Section of Molecular Epidemiology, Department of medical statistics, Leiden University Medical Center, Leiden, 2300RC, The Netherlands
| | - Blair H Smith
- Division of Population Health Sciences, Ninewells Hospital and Medical School, University of Dundee, Dundee, DD1 9SY, UK
| | - Jennifer A Smith
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA.,Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - Nona Sotoodehnia
- Cardiovascular Health Research Unit, Division of Cardiology, University of Washington, Seattle, WA, 98101, USA
| | | | - Frank J A van Rooij
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - André L Verbeek
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, 6500 HB, The Netherlands
| | - Sita H Vermeulen
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, 6500 HB, The Netherlands
| | - Peter Vollenweider
- Department of Medicine, Internal Medicine, Lausanne University Hospital, Lausanne, 1011, Switzerland
| | - Yunpeng Wang
- iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, DK-8000, Denmark.,NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, 0450, Norway
| | - Thomas Werge
- Institute of Biological Psychiatry, Mental Health Centre Sct. Hans, Mental Health Services Copenhagen, Roskilde, DK-4000, Denmark.,iPSYCH, The Lundbeck Foundation Initiative for Integrative Psychiatric Research, Aarhus, DK-8000, Denmark
| | - John B Whitfield
- QIMR Berghofer Institute of Medical Research, Brisbane, QLD, 4006, Australia
| | - Alan B Zonderman
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, MD, 21224, USA
| | - Terho Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories and Faculty of Medicine and Life Sciences, University of Tampere, Tampere, 33014, Finland
| | - Michele K Evans
- Laboratory of Epidemiology and Population Sciences, National Institute on Aging, National Institutes of Health, Baltimore City, MD, 21224, USA
| | - Mario Pirastu
- Institute of Genetic and Biomedical Research - Support Unity, National Research Council of Italy, Sassari, 07100, Italy
| | - Christian Fuchsberger
- Center for Biomedicine, European Academy of Bozen/Bolzano (EURAC), (Affiliated Institute of the University of Lübeck, Lübeck, Germany), Bolzano, 39100, Italy
| | - Lars Bertram
- Lübeck Interdisciplinary Platform for Genome Analytics, Institutes of Neurogenetics & Cardiogenetics, University of Lübeck, Lübeck, 23562, Germany.,Neuroepidemiology and Ageing Research Group, School of Public Health, Imperial College, London, W6 8RP, UK
| | - Neil Pendleton
- Division of Neuroscience and Experimental Psychology, School of Biological Sciences, Manchester Academic Health Science Centre, University of Manchester, Manchester, Greater Manchester, M13 9PL, UK
| | - Sharon L R Kardia
- Department of Epidemiology, School of Public Health, University of Michigan, Ann Arbor, MI, 48109, USA
| | - Marina Ciullo
- Institute of Genetics and Biophysics "A. Buzzati-Traverso" - CNR, Naples, 80131, Italy.,IRCCS Neuromed, Pozzilli (IS), 86077, Italy
| | - Diane M Becker
- Department of Medicine, GeneSTAR Research Program, Johns Hopkins University School of Medicine, Baltimore, MD, 21287, USA
| | - Andrew Wong
- MRC Unit for Lifelong Health & Ageing at UCL, University College London, London, WC1B 5JU, UK
| | - Bruce M Psaty
- Cardiovascular Health Research Unit, Departments of Epidemiology, Medicine and Health Services, University of Washington, Seattle, WA, 98101, USA.,Kaiser Permanente Washington Health Research Institute, Seattle, WA, 98101, USA
| | - Cornelia M van Duijn
- Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - James G Wilson
- Department of Physiology and Biophysics, University of Mississippi Medical Center, Jackson, MS, 39216, USA
| | - J Wouter Jukema
- Department of Cardiology, Leiden University Medical Center, Leiden, 2300RC, The Netherlands
| | - Lambertus Kiemeney
- Department for Health Evidence, Radboud Institute for Health Sciences, Radboud university medical center, Nijmegen, 6500 HB, The Netherlands
| | - André G Uitterlinden
- Department of Internal Medicine, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands.,Department of Epidemiology, Erasmus University Medical Center, Rotterdam, 3015 CN, Netherlands
| | - Nora Franceschini
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - Kari E North
- Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, 27514, USA
| | - David R Weir
- Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, 48014, USA
| | - Andres Metspalu
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia
| | - Dorret I Boomsma
- Netherlands Twin Register, Department of Biological Psychology, Vrije Universiteit, Amsterdam, Amsterdam Public Health Institute (APH), Amsterdam, 1081BT, Netherlands
| | - Caroline Hayward
- MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| | - Daniel Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, 02215, USA.,TH Chan School of Public Health, Harvard Medical School, Boston, MA, 02115, USA
| | - Nicholas G Martin
- QIMR Berghofer Institute of Medical Research, Brisbane, QLD, 4006, Australia
| | - Naveed Sattar
- BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow, G12 8TD, UK
| | - Harry Campbell
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK
| | - Tōnu Esko
- Estonian Genome Center, University of Tartu, University of Tartu, Tartu, 51010, Estonia.,Program in Medical and Population Genetics, Broad Institute, Broad Institute, Cambridge, MA, 02142, USA
| | - Zoltán Kutalik
- Institute of Social and Preventive Medicine, Lausanne University Hospital, Lausanne, 1010, Switzerland.,Swiss Institute of Bioinformatics, Lausanne, 1015, Switzerland
| | - James F Wilson
- Centre for Global Health Research, Usher Institute for Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, EH8 9AG, UK.,MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, EH4 2XU, UK
| |
Collapse
|
31
|
Forma L, Jylhä M, Pulkki J, Aaltonen M, Raitanen J, Rissanen P. Trends in the use and costs of round-the-clock long-term care in the last two years of life among old people between 2002 and 2013 in Finland. BMC Health Serv Res 2017; 17:668. [PMID: 28927415 PMCID: PMC5606077 DOI: 10.1186/s12913-017-2615-3] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2017] [Accepted: 09/12/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The structure of long-term care (LTC) for old people has changed: care has been shifted from institutions to the community, and death is being postponed to increasingly old age. The aim of the study was to analyze how the use and costs of LTC in the last two years of life among old people changed between 2002 and 2013. METHODS Data were derived from national registers. The study population contains all those who died at the age of 70 years or older in 2002-2013 in Finland (N = 427,078). The costs were calculated using national unit cost information. Binary logistic regression and Cox proportional hazard models were used to study the association of year of death with use and costs of LTC. RESULTS The proportion of those who used LTC and the sum of days in LTC in the last two years of life increased between 2002 and 2013. The mean number of days in institutional LTC decreased, while that for sheltered housing increased. The costs of LTC per user decreased. CONCLUSIONS Use of LTC in the last two years of life increased, which was explained by the postponement of death to increasingly old age. Costs of LTC decreased as sheltered housing replaced institutional LTC. However, an accurate comparison of costs of different types of LTC is difficult, and the societal costs of sheltered housing are not well known.
Collapse
Affiliation(s)
- Leena Forma
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| | - Marja Jylhä
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| | - Jutta Pulkki
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| | - Mari Aaltonen
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
- Institute for Advanced Social Research, University of Tampere, Tampere, Finland
| | - Jani Raitanen
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
- UKK-Institute for Health Promotion, Tampere, Finland
| | - Pekka Rissanen
- Faculty of Social Sciences (health sciences) and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| |
Collapse
|
32
|
Nosraty L, Pulkki J, Raitanen J, Enroth L, Jylhä M. Successful Aging as a Predictor of Long-Term Care Among Oldest Old: The Vitality 90+ Study. J Appl Gerontol 2017; 38:553-571. [PMID: 28671023 DOI: 10.1177/0733464817716968] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
AIM The aim of the study was to investigate whether successful aging (SA) predicts entering long-term care (LTC) among nonagenarians. METHODS Data originated from the linkage of the Vitality 90+ Study surveys with register data from Finnish Population Register and Care Registers. Altogether 1,966 community-dwelling individuals were followed for 2 years and 1,354 individuals for 5 years. Four models of SA were constructed by varying combinations of physical, psychological, and social components. Competing risk regression analysis was used. FINDINGS The incidence rate for entering LTC was lower for successful agers. Three models of SA presented a significantly decreased risk for entering LTC in the whole group and in women. The impact of SA was attenuated when living alone, needing help, and the year of participation were adjusted for, but was still significant for Model 3. CONCLUSION Nonagenarians who meet the multidimensional criteria of SA are less likely to enter LTC than those aging less successfully.
Collapse
Affiliation(s)
| | | | - Jani Raitanen
- 1 University of Tampere, Finland.,2 UKK Institute, Tampere, Finland
| | | | | |
Collapse
|
33
|
Enroth L, Jylhä M. Response to Oztin et al. J Gerontol A Biol Sci Med Sci 2017; 72:588. [PMID: 27627977 DOI: 10.1093/gerona/glw176] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 08/11/2016] [Indexed: 11/14/2022] Open
Affiliation(s)
- Linda Enroth
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland
| |
Collapse
|
34
|
Lisko I, Tiainen K, Raitanen J, Jylhävä J, Hurme M, Hervonen A, Jylhä M, Stenholm S. Body Mass Index and Waist Circumference as Predictors of Disability in Nonagenarians: The Vitality 90+ Study. J Gerontol A Biol Sci Med Sci 2017; 72:1569-1574. [DOI: 10.1093/gerona/glx032] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2016] [Accepted: 02/22/2017] [Indexed: 12/11/2022] Open
|
35
|
Nevalainen T, Kananen L, Marttila S, Jylhävä J, Mononen N, Kähönen M, Raitakari OT, Hervonen A, Jylhä M, Lehtimäki T, Hurme M. Obesity accelerates epigenetic aging in middle-aged but not in elderly individuals. Clin Epigenetics 2017; 9:20. [PMID: 28289477 PMCID: PMC5310016 DOI: 10.1186/s13148-016-0301-7] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2016] [Accepted: 12/09/2016] [Indexed: 11/17/2022] Open
Abstract
Background Human aging is associated with profound changes in one of the major epigenetic mechanisms, DNA methylation. Some of these changes occur in a clock-like fashion, i.e., correlating with the calendar age of an individual, thus providing a new aging biomarker. Some reports have identified factors associated with the acceleration of the epigenetic age. However, it is also important to analyze the temporal changes in the epigenetic age, i.e., the duration of the observed acceleration, and the effects of the possible therapeutic and lifestyle modifications. Methods To address this issue, we determined the epigenetic age for a cohort of 183 healthy individuals using blood samples derived from two time points that were 25 years apart (between 15–24 and 40–49 years of age). Additionally, we also determined the epigenetic ages of 119 individuals in a cohort consisting of 90-year-old participants (nonagenarians). These were determined by using the Horvath algorithm based on the methylation level of 353 CpG sites. The data are indicated as the deviation of the epigenetic age from the calendar age (calendar age minus epigenetic age = delta age, ΔAGE). As obesity is often associated with accelerating aging and degenerative phenotypes, the correlation of the body mass index (BMI) with the ΔAGE was analyzed in the following three age groups: young adults, middle-aged, and nonagenarian. Results The data showed that BMI is associated with decreased ΔAGE, i.e., increased epigenetic age, in middle-aged individuals. This effect is also seen during the 25-year period from early adulthood to middle age, in which an increase in the BMI is significantly associated with a decrease in the ΔAGE. We also analyzed the association between BMI and epigenetic age in young and elderly individuals, but these associations were not significant. Conclusion Taken together, the main finding on this report suggests that association between increased BMI and accelerated epigenetic aging in the blood cells of middle-aged individuals can be observed, and this effect is also detectable if the BMI has increased in adulthood. The fact that the association between BMI and epigenetic age can only be observed in the middle-aged group does not exclude the possibility that this association could be present throughout the human lifespan; it might just be masked by confounding factors in young adults and nonagenarian individuals. Electronic supplementary material The online version of this article (doi:10.1186/s13148-016-0301-7) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Tapio Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Laura Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Saara Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Juulia Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, Tampere, Finland
| | - Nina Mononen
- Department of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland.,Fimlab laboratories, Tampere, Finland
| | - Mika Kähönen
- Department of Clinical Physiology, Tampere University Hospital and University of Tampere, School of Medicine, Tampere, Finland
| | - Olli T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine and the Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - Antti Hervonen
- Gerontology Research Center, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, Tampere, Finland.,School of Health Sciences, University of Tampere, Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, School of Medicine, University of Tampere, Tampere, Finland.,Fimlab laboratories, Tampere, Finland
| | - Mikko Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.,Gerontology Research Center, Tampere, Finland.,Fimlab laboratories, Tampere, Finland
| |
Collapse
|
36
|
Nevalainen T, Kananen L, Marttila S, Jylhävä J, Jylhä M, Hervonen A, Hurme M. Increased Paternal Age at Conception Is Associated with Transcriptomic Changes Involved in Mitochondrial Function in Elderly Individuals. PLoS One 2016; 11:e0167028. [PMID: 27880854 PMCID: PMC5120832 DOI: 10.1371/journal.pone.0167028] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2016] [Accepted: 11/08/2016] [Indexed: 11/18/2022] Open
Abstract
The increased paternal age at conception (PAC) has been associated with autism spectrum disorder (ASD), schizophrenia and other neurodevelopmental disorders, thus raising questions that imply, potential health concerns in the offspring. As opposed to female oogonia, the male germ cells undergo hundreds of cell divisions during the fertile years. Thus, the advanced paternal age is associated with increase of point mutations in the male spermatogonia DNA, implying that this could be the major driving mechanism behind the paternal age effect observed in the offspring. In addition to replication errors, DNA replication fidelity and inefficient DNA repair machinery in the spermatogonia also contribute to the mutagenic load. Our study population consisted of 38 nonagenarians, participants in the Vitality 90+ Study, born in the year 1920 (women n = 25, men n = 13), for whom the parental birth dates were available. The gene expression profile of the study subjects was determined with HumanHT-12 v4 Expression BeadChip from peripheral blood mononuclear cells. We used Spearman's rank correlation to look for the associations of gene expression with paternal age at conception. Associated transcripts were further analyzed with GOrilla and IPA to determine enriched cellular processes and pathways. PAC was associated with the expression levels of 648 transcripts in nonagenarian subjects. These transcripts belonged to the process of mitochondrial translational termination and the canonical pathway of Mitochondrial dysfunction, more specifically of Oxidative phosphorylation. The observed systematic down-regulation of several mitochondrial respiratory chain components implies compromised function in oxidative phosphorylation and thus in the production of chemical energy.
Collapse
Affiliation(s)
- Tapio Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
- * E-mail:
| | - Laura Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| | - Saara Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| | - Juulia Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, Tampere, Finland
- School of Health Sciences, University of Tampere, Tampere, Finland
| | - Antti Hervonen
- Gerontology Research Center, Tampere, Finland
- School of Health Sciences, University of Tampere, Tampere, Finland
| | - Mikko Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
- Fimlab Laboratories, Tampere, Finland
| |
Collapse
|
37
|
Forma L, Aaltonen M, Pulkki J, Raitanen J, Rissanen P, Jylhä M. Care service use in 2 years preceding suicide among older adults: comparison with those who died a natural death and those who lived longer. Eur J Ageing 2016; 14:143-153. [PMID: 28804399 DOI: 10.1007/s10433-016-0397-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
The aim of the study is (1) to describe and analyse health and social service use and medicine purchases in the last 2 years of life among older adults who died by suicide and (2) to compare use and purchases between three groups: those who died by suicide, died a natural death or who lived longer. Nation-wide Finnish register data were used. The data consist of 316,639 decedents who died at the age of 70 years or older in 1998-2008 and 222,967 people who lived longer. Use of hospital, long-term care and home care, and the purchase of prescribed psychotropic medications were studied for the 2-year period. Binary logistic regression analyses were applied. 1118 older adults died by suicide (0.4 % of all deaths). A majority of older adults who died by suicide had multiple somatic diseases and mental disorders, especially depression, and had contact with health and social services in the last 2 years of life. At the same level of morbidity, use of hospital and long-term care was less common among those who died by suicide than among those who died of natural causes, but more common than among those who lived longer. Those who died by suicide received less home care than those who lived longer. A high proportion of suicides occurred in the first month following hospital discharge. Health and social services should improve support for older adults with chronic diseases and depression.
Collapse
Affiliation(s)
- Leena Forma
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
- Institute for Advanced Social Research, University of Tampere, 33014 Tampere, Finland
| | - Mari Aaltonen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| | - Jutta Pulkki
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| | - Jani Raitanen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
- The UKK Institute for Health Promotion Research, PO Box 30, 33501 Tampere, Finland
| | - Pekka Rissanen
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
- Institute for Advanced Social Research, University of Tampere, 33014 Tampere, Finland
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center (GEREC), University of Tampere, 33014 Tampere, Finland
| |
Collapse
|
38
|
Abstract
The aims of this study were to test the feasibility of a mailed survey in a population aged 90 years and over and to establish whether self-reported indicators of functioning and need of help predict mortality and institutionalization. A self-administered survey was mailed to the total home-dwelling people aged 90 years or over in the city of Tampere (n=448). The response rate was 81%. Confirmation of place of residence was carried out after 12 months and a mortality follow-up was conducted after 18 months. Seventy-one percent of the home-dwelling respondents lived alone, 49% went out of doors regularly and 32% received help on a daily basis. Mortality was higher among the institutionalized people than among those living at home. Being bed-ridden, not doing one's own shopping, not reading newspapers and regular need of help were significant predictors of mortality. Regular need of help also predicted institutionalization. We conclude that the population aged 90+ is very heterogeneous. In good conditions a mailed survey can be a feasible method of collecting data even among the oldest-old.
Collapse
Affiliation(s)
- Marja Jylhä
- School of Public Health, University of Tampere, Tampere, Finland,
| | - Antti Hervonen
- School of Public Health, University of Tampere, Tampere, Finland
| |
Collapse
|
39
|
Abstract
It has been theorized that life resources influence goal engagement. The aim of the present study was to examine whether personal characteristics, and socio-economic, social and health resources are associated with personal goal content in old age. The participants were 824 community-dwelling people aged 75-90 from the Life-Space Mobility in Old Age project. Personal goals were elicited using a revised version of the Personal Project Analysis in a structured interview. Cross-sectional bi- and multivariate analyses using logistic regression modelling were conducted. The results showed that the most commonly reported goals were health maintenance related. People with better health resources were more likely to report goals related to leisure-time, social and physical activities and less likely to report goals related to recovery of health. Those with poor social resources were at risk for having no personal goals in their lives. The results are in line with theorizing on the influence of life resources on goal setting in old age. Further longitudinal studies are needed on whether resource loss precedes goal modification, and how goal setting strategies influence both mental and physical well-being in old age.
Collapse
Affiliation(s)
- Milla Saajanaho
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Merja Rantakokko
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Erja Portegijs
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Timo Törmäkangas
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Johanna Eronen
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Li-Tang Tsai
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| | - Marja Jylhä
- Gerontology Research Center, School of Health Sciences, University of Tampere, 33014 Tampere, Finland
| | - Taina Rantanen
- Department of Health Sciences, Gerontology Research Center, University of Jyvaskyla, P.O. Box 35, 40014 Jyvaskyla, Finland
| |
Collapse
|
40
|
Abstract
Based on an analysis of extracts from 11 free-form written texts and 13 focused interviews with Finnish husbands who had given care to their demented wives, this study was aimed at finding out how husbands signify their action as spousal caregivers. The data were approached qualitatively from a social constructionistic point of view. Husbands’ written material described their action of caregiving mainly in a passive voice that echoed duty and responsive agency. Analysis of the interview talk revealed a wider spectrum of voices and more agentive talk about caregiving. The results of the study challenge interpretations of men as either ineffective or capable caregivers and highlight, instead, the contextual nature of the way that men construct their agencies, depending upon the purposes and audiences of their narration.
Collapse
|
41
|
Pulkki J, Jylhä M, Forma L, Aaltonen M, Raitanen J, Rissanen P. Long-term care use among old people in their last 2 years of life: variations across Finland. Health Soc Care Community 2016; 24:439-449. [PMID: 25809383 DOI: 10.1111/hsc.12224] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 01/21/2015] [Indexed: 06/04/2023]
Abstract
Variations across Finland in the use of six different long-term care (LTC) services among old people in their last 2 years of life, and the effects of characteristics of municipalities on the variations were studied. We studied variations in the use of residential home, sheltered housing, regular home care and inpatient care in health centre wards by using national registers. We studied how the use of LTC was associated with characteristics of the individuals and in particular characteristics of the municipalities in which they lived. Analyses were conducted with multilevel binary logistic regression. Data included all individuals (34,753) who died in the year 2008 at the age of 70 or over. Of those, 58.3% used some kind of LTC during their last 2 years of life. We found considerable variations between municipalities in the use of different kinds of LTC. A portion of the variation was explained by municipality characteristics. The size and location of the municipality had the strongest association with the use of different kinds of LTC. The economic status of the municipality and morbidity at the population level were poorly associated with LTC use, whereas old-age dependency showed no association. When individual-level characteristics were added to the models, these associations did not alter. Results indicated that the delivery system characteristics had an important effect on the use of LTC services. The considerable variation in LTC services also poses questions with respect to equity in access and to quality of LTC across the country.
Collapse
Affiliation(s)
- Jutta Pulkki
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| | - Marja Jylhä
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| | - Leena Forma
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| | - Mari Aaltonen
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| | - Jani Raitanen
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| | - Pekka Rissanen
- Gerontology Research Center, School of Health Sciences, University of Tampere, Tampere, Finland
| |
Collapse
|
42
|
Kananen L, Marttila S, Nevalainen T, Kummola L, Junttila I, Mononen N, Kähönen M, Raitakari OT, Hervonen A, Jylhä M, Lehtimäki T, Hurme M, Jylhävä J. The trajectory of the blood DNA methylome ageing rate is largely set before adulthood: evidence from two longitudinal studies. Age (Dordr) 2016; 38:65. [PMID: 27300324 PMCID: PMC5005919 DOI: 10.1007/s11357-016-9927-9] [Citation(s) in RCA: 44] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/19/2015] [Accepted: 05/31/2016] [Indexed: 05/22/2023]
Abstract
The epigenetic clock, defined as the DNA methylome age (DNAmAge), is a candidate biomarker of ageing. In this study, we aimed to characterize the behaviour of this marker during the human lifespan in more detail using two follow-up cohorts (the Young Finns study, calendar age i.e. cAge range at baseline 15-24 years, 25-year-follow-up, N = 183; The Vitality 90+ study, cAge range at baseline 19-90 years, 4-year-follow-up, N = 48). We also aimed to assess the relationship between DNAmAge estimate and the blood cell distributions, as both of these measures are known to change as a function of age. The subjects' DNAmAges were determined using Horvath's calculator of epigenetic cAge. The estimate of the DNA methylome age acceleration (Δ-cAge-DNAmAge) demonstrated remarkable stability in both cohorts: the individual rank orders of the DNAmAges remained largely unchanged during the follow-ups. The blood cell distributions also demonstrated significant intra-individual correlation between the baseline and follow-up time points. Interestingly, the immunosenescence-associated features (CD8+CD28- and CD4+CD28- cell proportions and the CD4/CD8 cell ratio) were tightly associated with the estimate of the DNA methylome age. In summary, our data demonstrate that the general level of Δ-cAge-DNAmAge is fixed before adulthood and appears to be quite stationary thereafter, even in the oldest-old ages. Moreover, the blood DNAmAge estimate seems to be tightly associated with ageing-associated shifts in blood cell composition, especially with those that are the hallmarks of immunosenescence. Overall, these observations contribute to the understanding of the longitudinal aspects of the DNAmAge estimate.
Collapse
Affiliation(s)
- L Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland.
- Gerontology Research Center, Tampere, Finland.
| | - S Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| | - T Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| | - L Kummola
- School of Medicine, University of Tampere, Tampere, Finland
| | - I Junttila
- School of Medicine, University of Tampere, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - N Mononen
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - M Kähönen
- Department of Clinical Physiology, Tampere University Hospital and University of Tampere School of Medicine, Tampere, Finland
| | - O T Raitakari
- Research Centre of Applied and Preventive Cardiovascular Medicine and the Department of Clinical Physiology and Nuclear Medicine, University of Turku and Turku University Hospital, Turku, Finland
| | - A Hervonen
- Gerontology Research Center, Tampere, Finland
- School of Health Sciences, University of Tampere, Tampere, Finland
| | - M Jylhä
- Gerontology Research Center, Tampere, Finland
- School of Health Sciences, University of Tampere, Tampere, Finland
| | - T Lehtimäki
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
- Department of Clinical Chemistry, University of Tampere School of Medicine, Tampere, Finland
| | - M Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
- Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - J Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- Gerontology Research Center, Tampere, Finland
| |
Collapse
|
43
|
Kananen L, Nevalainen T, Jylhävä J, Marttila S, Hervonen A, Jylhä M, Hurme M. Cytomegalovirus infection accelerates epigenetic aging. Exp Gerontol 2015; 72:227-9. [DOI: 10.1016/j.exger.2015.10.008] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2015] [Revised: 06/23/2015] [Accepted: 10/16/2015] [Indexed: 02/07/2023]
|
44
|
Saajanaho M, Rantakokko M, Portegijs E, Törmäkangas T, Eronen J, Tsai LT, Jylhä M, Rantanen T. Personal goals and changes in life-space mobility among older people. Prev Med 2015; 81:163-7. [PMID: 26348450 DOI: 10.1016/j.ypmed.2015.08.015] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2015] [Revised: 08/17/2015] [Accepted: 08/31/2015] [Indexed: 11/18/2022]
Abstract
OBJECTIVE Life-space mobility - the spatial extent of mobility in daily life - is associated with quality of life and physical functioning but may also be influenced by future orientation expressed in personal goals. The aim of this study was to explore how different personal goals predict changes in older people's life-space mobility. METHODS This prospective cohort study with a 2-year follow-up included 824 community-dwelling people aged 75 to 90 years from the municipalities of Jyväskylä and Muurame in Central Finland. As part of the Life-Space Mobility in Old Age study (LISPE), which was conducted between 2012 and 2014, the participants responded to the Life-Space Assessment and Personal Project Analysis in addition to questions on socio-demographics and health. Data were analyzed using generalized estimation equation models. RESULTS The results showed that goals indicating a desire to be active in daily life, to stay mentally alert, and to exercise were associated with higher life-space mobility, and that the associations remained over the follow-up years. Goals related to maintaining functioning predicted higher life-space mobility at the 2-year follow-up. In contrast, goals reflecting improvement of poor physical functioning predicted lower life-space mobility. The results remained significant even when adjusted for indicators of health and functioning. CONCLUSIONS This study indicates that supporting older people in striving for relevant personal goals in their lives might contribute to a larger life-space and thus also to improved quality of life in old age.
Collapse
Affiliation(s)
- Milla Saajanaho
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland.
| | - Merja Rantakokko
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| | - Erja Portegijs
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| | - Timo Törmäkangas
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| | - Johanna Eronen
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| | - Li-Tang Tsai
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| | - Marja Jylhä
- School of Health Sciences, University of Tampere, FI-33014 Tampere, Finland
| | - Taina Rantanen
- Department of Health Sciences, University of Jyvaskyla, Jyvaskyla FI-40014, Finland
| |
Collapse
|
45
|
Tiainen K, Raitanen J, Vaara E, Hervonen A, Jylhä M. Longitudinal changes in mobility among nonagenarians: the Vitality 90+ Study. BMC Geriatr 2015; 15:124. [PMID: 26472649 PMCID: PMC4608212 DOI: 10.1186/s12877-015-0116-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2014] [Accepted: 10/05/2015] [Indexed: 11/26/2022] Open
Abstract
Background Several studies have focused on predictors of mobility limitations and disabilities. Yet little is known about the pace and patterns of mobility changes among very old people. This study examined changes in functional mobility among individuals aged 90 years and older during a 2-9-year follow-up. In addition, we were interested in the patterns of mobility changes. Methods Data were collected through a mailed questionnaire in the years 2001, 2003, 2007 and 2010. The study population (n = 948) consisted of individuals from three cohorts (2001, 2003, 2007) who participated in at least two survey rounds and answered the mobility questions. The length of the follow-up varied from 2–9 years between individuals as well as according to how many times an individual took part in the survey. Multilevel ordinal logistic regression analysis was used to evaluate the effects of time, age, gender, cohort and chronic conditions on changes in mobility. Results At the baseline, “younger” old people, men and individuals in the cohorts for 2003 and 2007 had significantly better mobility compared with women, older individuals and individuals in the 2001 cohort. In addition, individuals with fewer chronic conditions had better mobility than those with more diseases. Mobility declined for most of the participants during the follow-up. The difference in the change in mobility over time for gender, age or chronic conditions was not statistically significant. The analyses were performed with a subgroup of participants aged 90–91 years at the baseline, and results did not differ substantially from the results for the entire study sample. However, the effect of chronic conditions on the change in mobility was statistically significant among participants aged 90-91years. Conclusions No differences were observed in the rate of mobility decline over time between age or gender. The effect of chronic conditions on the change in mobility was significant only among individuals aged 90–91 years. The prevention efforts are important and should focus even more, also among the oldest-old, on additional modifiable risk factors such as maintaining muscle strength.
Collapse
Affiliation(s)
- Kristina Tiainen
- School of Health Sciences and Gerontology Research Center, University of Tampere, 33014, Tampere, Finland.
| | - Jani Raitanen
- School of Health Sciences and Gerontology Research Center, University of Tampere, 33014, Tampere, Finland. .,UKK-Institute for Health Promotion Research, P.O. Box 30, 33501, Tampere, Finland.
| | - Elina Vaara
- School of Health Sciences and Gerontology Research Center, University of Tampere, 33014, Tampere, Finland. .,Department of Social Research, University of Helsinki, P.O. Box 54, 00014, Helsinki, Finland.
| | - Antti Hervonen
- School of Health Sciences and Gerontology Research Center, University of Tampere, 33014, Tampere, Finland.
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center, University of Tampere, 33014, Tampere, Finland. .,Institute for Advanced Social Research, University of Tampere, 33014, Tampere, Finland.
| |
Collapse
|
46
|
Enroth L, Raitanen J, Hervonen A, Lehtimäki T, Jylhävä J, Hurme M, Jylhä M. Cardiometabolic and Inflammatory Biomarkers as Mediators Between Educational Attainment and Functioning at the Age of 90 Years. J Gerontol A Biol Sci Med Sci 2015; 71:412-9. [PMID: 26328604 DOI: 10.1093/gerona/glv105] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2014] [Accepted: 06/12/2015] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Low socioeconomic status is associated both with poorer functioning and elevated levels of inflammatory and cardiometabolic biomarkers; however, knowledge of such relations for the oldest old is limited. Our aim was to study whether education is associated with cardiometabolic (cholesterol levels, body mass index, and leptin) and inflammatory (C-reactive protein, interleukin-6, interleukin-1Ra) biomarkers for the 90-year-olds who participated in the Vitality 90+ study. In addition, we investigated whether these biomarkers explain educational inequalities in functioning. METHODS All persons in Tampere, Finland, who were born in 1909 or 1910, were invited to participate, irrespective of their health status or dwelling place. The sample consisted of 262 participants who went through the home interview and blood tests. The socioeconomic status indicator used was the highest education, and physical functioning was assessed using the Barthel index. The association of education with individual and combined biomarker scores, and with functioning, was analyzed cross-sectionally applying generalized linear models. RESULTS The low- and mid-level-educated participants had greater odds of belonging to the high risk group in cardiometabolic biomarkers than did the high-educated. Differences were statistically significant in three individual biomarkers (high-density lipoprotein-cholesterol, leptin, and body mass index) and in a cardiometabolic score. There were no educational differences in inflammatory biomarkers. When all biomarkers were combined, they mediated educational differences in functioning on an average of 23%. After controlling for smoking, alcohol use and diseases, biomarkers mediated part of the differences between the mid-level- and high-educated. CONCLUSIONS High education was associated with better cardiometabolic biomarkers and functioning among the 90-year-olds. In part, educational inequalities in functioning were explained by cardiometabolic biomarkers.
Collapse
Affiliation(s)
- Linda Enroth
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland.
| | - Jani Raitanen
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland. UKK Institute for Health Promotion Research, Tampere, Finland
| | - Antti Hervonen
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland
| | - Terho Lehtimäki
- Department of Clinical Chemistry, School of Medicine, University of Tampere, Finland. Department of Clinical Chemistry, Fimlab Laboratories, Tampere, Finland
| | - Juulia Jylhävä
- Gerontology Research Center, University of Tampere, Finland. Department of Microbiology and Immunology, School of Medicine, University of Tampere, Finland
| | - Mikko Hurme
- Gerontology Research Center, University of Tampere, Finland. Department of Microbiology and Immunology, School of Medicine, University of Tampere, Finland. Department of Microbiology, Fimlab Laboratories, Tampere, Finland
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center, University of Tampere, Finland. Institute for Advanced Social Research, University of Tampere, Finland
| |
Collapse
|
47
|
Nevalainen T, Kananen L, Marttila S, Jylhä M, Hervonen A, Hurme M, Jylhävä J. Transcriptomic and epigenetic analyses reveal a gender difference in aging-associated inflammation: the Vitality 90+ study. Age (Dordr) 2015; 37:9814. [PMID: 26188803 PMCID: PMC4506741 DOI: 10.1007/s11357-015-9814-9] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2014] [Accepted: 07/06/2015] [Indexed: 06/01/2023]
Abstract
Aging is associated with a pro-inflammatory state, often referred to as inflammaging. The origin of the pro-inflammatory mediators and their role in the pathogenesis of the aging-associated diseases remain poorly understood. As aging is also associated with profound changes in the transcriptomic and epigenetic (e.g., DNA methylation) profiles of cells in the peripheral blood, we analyzed the correlation of these profiles with inflammaging using the "classical" marker interleukin-6 as an indicator. The analysis of the whole-genome peripheral blood mononuclear cell (PBMC) gene expression revealed 62 transcripts with expression levels that significantly correlated with the plasma interleukin-6 (IL-6) levels in men, whereas no correlations were observed in women. The Gene Ontology analysis of plasma IL-6-associated transcripts in men revealed processes that were linked to the inflammatory response. Additionally, an Ingenuity Pathway Analysis (IPA) pathway analysis identified Tec kinase signaling as an affected pathway and upstream regulator analysis predicted the activation of IL-10 transcript. DNA methylation was assessed using a HumanMethylation450 array. Seven genes with expression profiles that were associated with the plasma IL-6 levels in men were found to harbor CpG sites with methylation levels that were also associated with the IL-6 levels. Among these genes were IL1RN, CREB5, and FAIM3, which mapped to a network of inflammatory response genes. According to our results, inflammaging is manifested differently at the genomic level in nonagenarian men and women. Part of this difference seems to be of epigenetic origin. These differences point to the genomic regulation of inflammatory response and suggest that the gender-specific immune system dimorphism in older individuals could be accounted for, in part, by DNA methylation.
Collapse
Affiliation(s)
- T. Nevalainen
- />Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- />Gerontology Research Center, Tampere, Finland
| | - L. Kananen
- />Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- />Gerontology Research Center, Tampere, Finland
| | - S. Marttila
- />Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- />Gerontology Research Center, Tampere, Finland
| | - M. Jylhä
- />Gerontology Research Center, Tampere, Finland
- />School of Health Sciences, University of Tampere, Tampere, Finland
| | - A. Hervonen
- />Gerontology Research Center, Tampere, Finland
- />School of Health Sciences, University of Tampere, Tampere, Finland
| | - M. Hurme
- />Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- />Gerontology Research Center, Tampere, Finland
- />Fimlab Laboratories, Tampere, Finland
| | - J. Jylhävä
- />Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland
- />Gerontology Research Center, Tampere, Finland
| |
Collapse
|
48
|
Stenholm S, Kivimäki M, Jylhä M, Kawachi I, Westerlund H, Pentti J, Goldberg M, Zins M, Vahtera J. Trajectories of self-rated health in the last 15 years of life by cause of death. Eur J Epidemiol 2015. [DOI: 10.1007/s10654-015-0071-0] [Citation(s) in RCA: 44] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
49
|
Marttila S, Kananen L, Häyrynen S, Jylhävä J, Nevalainen T, Hervonen A, Jylhä M, Nykter M, Hurme M. Ageing-associated changes in the human DNA methylome: genomic locations and effects on gene expression. BMC Genomics 2015; 16:179. [PMID: 25888029 PMCID: PMC4404609 DOI: 10.1186/s12864-015-1381-z] [Citation(s) in RCA: 91] [Impact Index Per Article: 10.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2014] [Accepted: 02/21/2015] [Indexed: 01/11/2023] Open
Abstract
Background Changes in DNA methylation are among the mechanisms contributing to the ageing process. We sought to identify ageing-associated DNA methylation changes at single-CpG-site resolution in blood leukocytes and to ensure that the observed changes were not due to differences in the proportions of leukocytes. The association between DNA methylation changes and gene expression levels was also investigated in the same individuals. Results We identified 8540 high-confidence ageing-associated CpG sites, 46% of which were hypermethylated in nonagenarians. The hypermethylation-associated genes belonged to a common category: they were predicted to be regulated by a common group of transcription factors and were enriched in a related set of GO terms and canonical pathways. Conversely, for the hypomethylation-associated genes only a limited set of GO terms and canonical pathways were identified. Among the 8540 CpG sites associated with ageing, methylation level of 377 sites was also associated with gene expression levels. These genes were enriched in GO terms and canonical pathways associated with immune system functions, particularly phagocytosis. Conclusions We find that certain ageing-associated immune-system impairments may be mediated via changes in DNA methylation. The results also imply that ageing-associated hypo- and hypermethylation are distinct processes: hypermethylation could be caused by programmed changes, whereas hypomethylation could be the result of environmental and stochastic processes. Electronic supplementary material The online version of this article (doi:10.1186/s12864-015-1381-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Saara Marttila
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. .,Gerontology Research Center, Tampere, Finland.
| | - Laura Kananen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. .,Gerontology Research Center, Tampere, Finland.
| | - Sergei Häyrynen
- Institute of Biosciences and Medical Technology, University of Tampere, Tampere, Finland.
| | - Juulia Jylhävä
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. .,Gerontology Research Center, Tampere, Finland.
| | - Tapio Nevalainen
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. .,Gerontology Research Center, Tampere, Finland.
| | - Antti Hervonen
- Gerontology Research Center, Tampere, Finland. .,School of Health Sciences, University of Tampere, Tampere, Finland.
| | - Marja Jylhä
- Gerontology Research Center, Tampere, Finland. .,School of Health Sciences, University of Tampere, Tampere, Finland.
| | - Matti Nykter
- Institute of Biosciences and Medical Technology, University of Tampere, Tampere, Finland.
| | - Mikko Hurme
- Department of Microbiology and Immunology, School of Medicine, University of Tampere, Tampere, Finland. .,Gerontology Research Center, Tampere, Finland. .,Fimlab Laboratories, Tampere, Finland.
| |
Collapse
|
50
|
Abstract
BACKGROUND socioeconomic inequalities in mortality are well-known in middle-aged and younger old adults, but the situation of the oldest old is less clear. The aim of this study was to investigate socioeconomic inequalities for all-cause, cardiovascular and dementia mortality among the people aged 90 or older. METHODS the data source was a mailed survey in the Vitality 90+ study (n = 1,276) in 2010. The whole cohort of people 90 years or over irrespective of health status or dwelling place in a geographical area was invited to participate. The participation rate was 79%. Socioeconomic status was measured by occupation and education, and health status by functioning and comorbidity. All-cause and cause-specific mortality was followed for 3 years. The Cox regression, with hazard ratios (HR) and 95% confidence intervals (CI), was applied. RESULTS the all-cause and dementia mortality differed by occupational class. Upper non-manuals had lower all-cause mortality than lower non-manuals (HR: 1.61; 95% CI: 1.11-2.32), skilled manual workers (HR: 1.56 95% CI: 1.09-2.25), unskilled manual workers (HR: 1.88; 95% CI: 1.20-2.94), housewives (HR: 1.77 95% CI: 1.15-2.71) and those with unknown occupation (HR: 2.33; 95% CI: 1.41-3.85). Inequalities in all-cause mortality were largely explained by the differences in functioning. The situation was similar according to education, but inequalities were not statistically significant. Socioeconomic differences in cardiovascular mortality were not significant. CONCLUSIONS socioeconomic inequalities persist in mortality for 90+-year-olds, but their magnitude varies depending on the cause of death and the indicator of socioeconomic status. Mainly, mortality differences are explained by differences in functional status.
Collapse
Affiliation(s)
- Linda Enroth
- School of Health Sciences and Gerontology Research Center, University of Tampere, Tampere 33014, Finland
| | - Jani Raitanen
- School of Health Sciences and Gerontology Research Center, University of Tampere, Tampere 33014, Finland UKK Institute for Health Promotion Research, Tampere, Finland
| | - Antti Hervonen
- School of Health Sciences and Gerontology Research Center, University of Tampere, Tampere 33014, Finland
| | - Lily Nosraty
- School of Health Sciences and Gerontology Research Center, University of Tampere, Tampere 33014, Finland
| | - Marja Jylhä
- School of Health Sciences and Gerontology Research Center, University of Tampere, Tampere 33014, Finland
| |
Collapse
|