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Active aging - resilience and external support as modifiers of the disablement outcome: AGNES cohort study protocol.

https://arctichealth.org/en/permalink/ahliterature299192
Source
BMC Public Health. 2018 05 02; 18(1):565
Publication Type
Journal Article
Date
05-02-2018
Author
Taina Rantanen
Milla Saajanaho
Laura Karavirta
Sini Siltanen
Merja Rantakokko
Anne Viljanen
Timo Rantalainen
Katja Pynnönen
Anu Karvonen
Inna Lisko
Lotta Palmberg
Johanna Eronen
Eeva-Maija Palonen
Timo Hinrichs
Markku Kauppinen
Katja Kokko
Erja Portegijs
Author Affiliation
Gerontology Research Center, Faculty of Sport and Health Sciences, Univerisity of Jyvaskyla, P.O. Box 35 (viv 149), 40014, Jyväskylä, Finland. taina.rantanen@jyu.fi.
Source
BMC Public Health. 2018 05 02; 18(1):565
Date
05-02-2018
Language
English
Publication Type
Journal Article
Keywords
Aged
Aged, 80 and over
Aging - psychology
Cohort Studies
Disabled persons - statistics & numerical data
Exercise
Female
Finland
Health Behavior
Health Literacy
Humans
Male
Resilience, Psychological
Social Support
Abstract
Population aging increases the need for knowledge on positive aspects of aging, and contributions of older people to their own wellbeing and that of others. We defined active aging as an individual's striving for elements of wellbeing with activities as per their goals, abilities and opportunities. This study examines associations of health, health behaviors, health literacy and functional abilities, environmental and social support with active aging and wellbeing. We will develop and validate assessment methods for physical activity and physical resilience suitable for research on older people, and examine their associations with active aging and wellbeing. We will examine cohort effects on functional phenotypes underlying active aging and disability.
For this population-based study, we plan to recruit 1000 participants aged 75, 80 or 85 years living in central Finland, by drawing personal details from the population register. Participants are interviewed on active aging, wellbeing, disability, environmental and social support, mobility, health behavior and health literacy. Physical activity and heart rate are monitored for 7 days with wearable sensors. Functional tests include hearing, vision, muscle strength, reaction time, exercise tolerance, mobility, and cognitive performance. Clinical examination by a nurse and physician includes an electrocardiogram, tests of blood pressure, orthostatic regulation, arterial stiffness, and lung function, as well as a review of chronic and acute conditions and prescribed medications. C-reactive protein, small blood count, cholesterol and vitamin D are analyzed from blood samples. Associations of factors potentially underlying active aging and wellbeing will be studied using multivariate methods. Cohort effects will be studied by comparing test results of physical and cognitive functioning with results of a cohort examined in 1989-90.
The current study will renew research on positive gerontology through the novel approach to active aging and by suggesting new biomarkers of resilience and active aging. Therefore, high interdisciplinary impact is expected. This cross-sectional study will not provide knowledge on temporal order of events or causality, but an innovative cross-sectional dataset provides opportunities for emergence of novel creative hypotheses and theories.
PubMed ID
29716566 View in PubMed
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Barriers to outdoor physical activity and unmet physical activity need in older adults.

https://arctichealth.org/en/permalink/ahliterature266937
Source
Prev Med. 2014 Oct;67:106-11
Publication Type
Article
Date
Oct-2014
Author
Johanna Eronen
Mikaela B von Bonsdorff
Timo Törmäkangas
Merja Rantakokko
Erja Portegijs
Anne Viljanen
Taina Rantanen
Source
Prev Med. 2014 Oct;67:106-11
Date
Oct-2014
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Aging
Cohort Studies
Cross-Sectional Studies
Environment
Environment Design
Exercise
Female
Finland
Geriatric Assessment
Health status
Humans
Male
Mobility Limitation
Questionnaires
Walking
Abstract
To profile participants based on reported outdoor physical activity barriers using a data-driven approach, describe the profiles and study their association with unmet physical activity need.
Cross-sectional analyses of 848 community-dwelling men and women aged 75-90 living in Central Finland in 2012. Barriers to outdoor physical activity and unmet physical activity need were enquired with a questionnaire. The latent profiles were identified by profiling participants into latent groups using a mixture modeling technique on the multivariate set of indicators of outdoor physical activity barriers. A path model was used to study the associations of the profiles with unmet physical activity need.
Five barrier profiles were identified. Profile A was characterized with minor barriers, profile B with weather barriers, profile C with health and weather barriers, profile D with barriers concerning insecurity, health and weather; and profile E with mobility and health barriers. The participants in the profiles differed in the proportion of individual and environmental barriers. The risk for unmet physical activity need was highest among people whose severe mobility difficulties restricted their outdoor physical activity.
Outdoor physical activity barriers reflect the imbalance in person-environment fit among older people, manifested as unmet physical activity need.
PubMed ID
25045839 View in PubMed
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Physical Limitations, Walkability, Perceived Environmental Facilitators and Physical Activity of Older Adults in Finland.

https://arctichealth.org/en/permalink/ahliterature286530
Source
Int J Environ Res Public Health. 2017 Mar 22;14(3)
Publication Type
Article
Date
Mar-22-2017
Author
Erja Portegijs
Kirsi E Keskinen
Li-Tang Tsai
Taina Rantanen
Merja Rantakokko
Source
Int J Environ Res Public Health. 2017 Mar 22;14(3)
Date
Mar-22-2017
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Architectural Accessibility - statistics & numerical data
Cross-Sectional Studies
Environment Design
Exercise
Female
Finland - epidemiology
Geriatric Assessment
Health promotion
Housing for the Elderly - standards
Humans
Male
Mobility Limitation
Quality of Life
Residence Characteristics
Socioeconomic Factors
Walking
Abstract
The aim was to study objectively assessed walkability of the environment and participant perceived environmental facilitators for outdoor mobility as predictors of physical activity in older adults with and without physical limitations. 75-90-year-old adults living independently in Central Finland were interviewed (n = 839) and reassessed for self-reported physical activity one or two years later (n = 787). Lower-extremity physical limitations were defined as Short Physical Performance Battery score =9. Number of perceived environmental facilitators was calculated from a 16-item checklist. Walkability index (land use mix, street connectivity, population density) of the home environment was calculated from geographic information and categorized into tertiles. Accelerometer-based step counts were registered for one week (n = 174). Better walkability was associated with higher numbers of perceived environmental facilitators (p
Notes
Cites: Am J Phys Med Rehabil. 2014 Oct;93(10):876-8324800719
Cites: J Aging Res. 2012;2012:62575822162808
Cites: Scand J Med Sci Sports. 2015 Aug;25(4):e368-7326152855
Cites: Int J Health Geogr. 2014 Mar 04;13:724588848
Cites: Soc Sci Med. 2007 Nov;65(9):1898-91417644231
Cites: J Gerontol A Biol Sci Med Sci. 2016 Aug;71(8):1039-4826957472
Cites: Int J Behav Nutr Phys Act. 2013 May 14;10:5723672435
Cites: Arch Phys Med Rehabil. 1999 Feb;80(2):130-510025485
Cites: Health Place. 2011 Mar;17(2):458-6921257333
Cites: Am J Prev Med. 2004 Aug;27(2):87-9615261894
Cites: J Urban Health. 2015 Apr;92(2):242-5225539783
Cites: Health Place. 2014 May;27:127-3324603010
Cites: Int J Health Geogr. 2012 Jun 27;11:2222738807
Cites: J Aging Health. 2015 Jun;27(4):606-2125326130
Cites: Ann Behav Med. 2009 Apr;37(2):228-3819396503
Cites: Lancet. 2012 Jul 21;380(9838):247-5722818937
Cites: Health Place. 2014 Jan;25:43-624239702
Cites: BMC Public Health. 2012 Nov 22;12:101823170987
Cites: Health Place. 2016 Jul;40:116-2227261634
Cites: PLoS One. 2015 Aug 07;10(8):e013530826252537
Cites: J Gerontol A Biol Sci Med Sci. 2017 Jan 19;:null28329074
Cites: Scand J Med Sci Sports. 2016 Oct 17;:null27747944
Cites: Int J Behav Nutr Phys Act. 2012 Apr 03;9:4022472295
Cites: Clin Rehabil. 2009 Jun;23(6):558-6719403554
Cites: J Gerontol. 1994 Mar;49(2):M85-948126356
Cites: Qual Life Res. 2016 May;25(5):1189-9726407605
Cites: J Urban Health. 2010 Sep;87(5):782-9520814757
Cites: Int J Health Geogr. 2014 Oct 25;13:4325343966
Cites: J Am Geriatr Soc. 2003 Mar;51(3):393-812588584
Cites: Am J Epidemiol. 2014 Oct 15;180(8):799-80925234431
Cites: Arch Gerontol Geriatr. 2017 Mar - Apr;69:69-7627889590
Cites: Soc Sci Med. 2016 Jan;149:104-1326708246
Cites: Am J Prev Med. 2013 Jun;44(6):e51-523683990
Cites: Soc Sci Med. 2011 Apr;72(8):1266-7321470735
Cites: Int J Aging Hum Dev. 2008;66(2):131-5418453180
Cites: J Am Geriatr Soc. 2014 Apr;62(4):615-2124655124
Cites: Prev Med. 2015 Dec;81:163-726348450
Cites: Br J Sports Med. 2010 Oct;44(13):924-3319406732
Cites: Soc Sci Med. 2013 Jan;77:20-3023206559
Cites: BMC Public Health. 2015 Aug 11;15:76826260474
Cites: J Gerontol B Psychol Sci Soc Sci. 2012 Jan;67(1):76-8822227735
PubMed ID
28327543 View in PubMed
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