Skip header and navigation

Refine By

85 records – page 1 of 9.

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
Less detail

Assessment of health literacy among older Finns.

https://arctichealth.org/en/permalink/ahliterature299832
Source
Aging Clin Exp Res. 2019 Apr; 31(4):549-556
Publication Type
Journal Article
Validation Studies
Date
Apr-2019
Author
Johanna Eronen
Leena Paakkari
Erja Portegijs
Milla Saajanaho
Taina Rantanen
Author Affiliation
Gerontology Research Center, Faculty of Sport and Health Sciences, University of Jyväskylä, P.O. Box 35, 40014, Jyvaskyla, Finland. johanna.eronen@jyu.fi.
Source
Aging Clin Exp Res. 2019 Apr; 31(4):549-556
Date
Apr-2019
Language
English
Publication Type
Journal Article
Validation Studies
Keywords
Aged
Aged, 80 and over
Chronic Disease - epidemiology
Cohort Studies
Cross-Sectional Studies
Depression - epidemiology
Feasibility Studies
Female
Finland - epidemiology
Focus Groups
Health Literacy - statistics & numerical data
Health status
Humans
Male
Middle Aged
Reproducibility of Results
Socioeconomic Factors
Surveys and Questionnaires
Abstract
This study examined the feasibility of the HLS-EU-Q16 (in Finnish) for use among older Finns and whether the health literacy score correlates with indicators of health and functioning.
To determine the feasibility of the instrument, we first conducted a focus group discussion with nine participants. For the quantitative analyses, we used data from the AGNES cohort study, collected between October 2017 and April 2018 at the University of Jyväskylä in Finland. 292 75-year-old Finnish men and women were interviewed face-to-face in their homes. Health literacy was measured with the HLS-EU-Q16 and health literacy score, ranging from 0 to 50, computed. The reproducibility of the instrument was test-retested. Chi-square tests were used to compare health literacy scores between participants by different socioeconomic variables, and Spearman correlation coefficients were calculated to study the associations of health literacy with cognition, depressive symptoms, chronic conditions, life-space mobility and physical performance.
The mean health literacy score for all participants was 35.05 (SD 6.32). Participants who rated their financial situation and self-rated health as very good had the highest health literacy scores (38.85, SD 5.09 and 39.22, SD 6.77, respectively). Better health literacy was associated with better cognitive status, fewer depressive symptoms and chronic conditions, higher life-space mobility and better physical performance.
The HLS-EU-Q16 is a feasible measure for research purposes among older Finns. The associations between health literacy and indicators of health and functioning need to be more closely investigated in larger samples with a wider age-range.
PubMed ID
30578457 View in PubMed
Less detail

Association between obesity history and hand grip strength in older adults--exploring the roles of inflammation and insulin resistance as mediating factors.

https://arctichealth.org/en/permalink/ahliterature137143
Source
J Gerontol A Biol Sci Med Sci. 2011 Mar;66(3):341-8
Publication Type
Article
Date
Mar-2011
Author
Sari Stenholm
Janne Sallinen
Annemarie Koster
Taina Rantanen
Päivi Sainio
Markku Heliövaara
Seppo Koskinen
Author Affiliation
Department of Health, Functional Capacity and Welfare, National Institute for Health and Welfare, Peltolantie 3, FI-20720 Turku, Finland. sari.stenholm@thl.fi
Source
J Gerontol A Biol Sci Med Sci. 2011 Mar;66(3):341-8
Date
Mar-2011
Language
English
Publication Type
Article
Keywords
Aged
Body Height
Body mass index
C-Reactive Protein
Female
Finland
Hand Strength
Humans
Inflammation - complications
Insulin Resistance
Male
Middle Aged
Muscle Strength - physiology
Obesity - complications
Risk factors
Abstract
To examine the association between obesity history and hand grip strength, and whether the association is partly explained by subclinical inflammation and insulin resistance.
Data are from 2,021 men and women aged 55 years and older participating in the representative population-based Health 2000 Survey in Finland. Body mass and body height, maximal hand grip strength, C-reactive protein, and insulin resistance based on homeostasis model assessment (HOMA-IR) were measured in a health examination. Recalled weight at 20, 30, 40, and 50 years of age were recorded to obtain a hierarchical classification of obesity history. Obesity was defined as body mass index = 30 kg/m².
Earlier onset of obesity was associated with lower hand grip strength (p
Notes
Cites: Diabetes Care. 2009 Apr;32(4):736-819171728
Cites: Am J Epidemiol. 2009 Apr 15;169(8):927-3619270048
Cites: J Gerontol A Biol Sci Med Sci. 2009 Nov;64(11):1183-919622801
Cites: Am J Clin Nutr. 2009 Dec;90(6):1579-8519864405
Cites: J Gerontol A Biol Sci Med Sci. 2010 Jan;65(1):71-719887536
Cites: Int J Obes (Lond). 2009 Jun;33(6):635-4419381155
Cites: Curr Opin Clin Nutr Metab Care. 2008 Nov;11(6):693-70018827572
Cites: J Gerontol A Biol Sci Med Sci. 2000 Mar;55(3):M168-7310795731
Cites: Diabetes Care. 2000 Jan;23(1):57-6310857969
Cites: World Health Organ Tech Rep Ser. 2000;894:i-xii, 1-25311234459
Cites: J Gerontol A Biol Sci Med Sci. 2002 May;57(5):M326-3211983728
Cites: J Am Geriatr Soc. 2002 Dec;50(12):1947-5412473005
Cites: Diabetes Care. 2003 Feb;26(2):372-912547865
Cites: Int J Obes Relat Metab Disord. 2003 Feb;27(2):247-5212587006
Cites: J Appl Physiol (1985). 2003 Nov;95(5):1851-6014555665
Cites: Obes Res. 2004 Jun;12(6):887-815229325
Cites: Ann Epidemiol. 2004 Sep;14(8):585-9115350959
Cites: Ann Rheum Dis. 2004 Nov;63(11):1434-715479892
Cites: Prev Med. 1972 Mar;1(1):153-604403533
Cites: Diabetologia. 1985 Jul;28(7):412-93899825
Cites: Diabetes. 1992 Feb;41(2):235-401733815
Cites: Epidemiology. 1995 Jan;6(1):61-67888448
Cites: Am J Epidemiol. 1998 Sep 15;148(6):539-459753008
Cites: Acta Diabetol. 1998 Oct;35(3):130-69840448
Cites: Am J Epidemiol. 1999 Feb 1;149(3):256-609927221
Cites: Diabetes Care. 1999 Aug;22(8):1266-7210480769
Cites: J Allergy Clin Immunol. 2005 May;115(5):911-9; quiz 92015867843
Cites: J Gerontol A Biol Sci Med Sci. 2005 Oct;60(10):1278-8216282559
Cites: Nature. 2006 Dec 14;444(7121):840-617167471
Cites: J Appl Physiol (1985). 2007 Mar;102(3):919-2517095641
Cites: Diabetes. 2007 Apr;56(4):1010-317287468
Cites: Obesity (Silver Spring). 2007 Apr;15(4):929-3817426328
Cites: Diabetes Care. 2007 Jun;30(6):1507-1217363749
Cites: Int J Obes (Lond). 2007 Nov;31(11):1680-717515911
Cites: J Health Soc Behav. 2007 Dec;48(4):434-4918198689
Cites: Int J Obes (Lond). 2008 May;32(5):772-918253163
Cites: Nutr Metab Cardiovasc Dis. 2008 Jun;18(5):388-9518395429
Comment In: J Gerontol A Biol Sci Med Sci. 2014 May;69(5):618-924429339
Comment In: J Gerontol A Biol Sci Med Sci. 2014 May;69(5):616-724300030
PubMed ID
21310808 View in PubMed
Less detail

Associations Between Reasons to Go Outdoors and Objectively-Measured Walking Activity in Various Life-Space Areas Among Older People.

https://arctichealth.org/en/permalink/ahliterature277247
Source
J Aging Phys Act. 2016 Jan;24(1):85-91
Publication Type
Article
Date
Jan-2016
Author
Li-Tang Tsai
Merja Rantakokko
Anne Viljanen
Milla Saajanaho
Johanna Eronen
Taina Rantanen
Erja Portegijs
Source
J Aging Phys Act. 2016 Jan;24(1):85-91
Date
Jan-2016
Language
English
Publication Type
Article
Keywords
Accelerometry
Activities of Daily Living
Aged
Aged, 80 and over
Cross-Sectional Studies
Female
Finland
Humans
Male
Residence Characteristics
Walking - physiology
Abstract
This cross-sectional study investigated associations between reasons to go outdoors and objectively-measured walking activity in various life-space areas among older people. During the study, 174 community-dwelling older people aged 75-90 from central Finland wore an accelerometer over seven days and recorded their reasons to go outdoors in an activity diary. The most common reasons for going outdoors were shopping, walking for exercise, social visits, and running errands. Activities done in multiple life-space areas contributed more to daily step counts than those done in the neighborhood or town and beyond. Those who went shopping or walked for exercise accumulated higher daily step counts than those who did not go outdoors for these reasons. These results show that shopping and walking for exercise are common reasons to go outdoors for community-dwelling older people and may facilitate walking activity in older age. Future studies on how individual trips contribute to the accumulation of steps are warranted.
PubMed ID
25951008 View in PubMed
Less detail

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
Less detail

Birth size and childhood growth as determinants of physical functioning in older age: the Helsinki Birth Cohort Study.

https://arctichealth.org/en/permalink/ahliterature129768
Source
Am J Epidemiol. 2011 Dec 15;174(12):1336-44
Publication Type
Article
Date
Dec-15-2011
Author
Mikaela B von Bonsdorff
Taina Rantanen
Sarianna Sipilä
Minna K Salonen
Eero Kajantie
Clive Osmond
David J P Barker
Johan G Eriksson
Author Affiliation
Gerontology Research Centre, Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland. mikaela.vonbonsdorff@jyu.fi
Source
Am J Epidemiol. 2011 Dec 15;174(12):1336-44
Date
Dec-15-2011
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Aged
Birth weight
Body mass index
Body Weights and Measures
Breast Feeding
Child
Child Development
Child, Preschool
Female
Finland - epidemiology
Growth
Humans
Infant, Newborn
Longitudinal Studies
Male
Middle Aged
Physical Fitness
Risk factors
Socioeconomic Factors
Abstract
The study reports on the associations of infant and childhood anthropometric measurements, early growth, and the combined effect of birth weight and childhood body mass index with older age physical functioning among 1,999 individuals born in 1934-1944 and belonging to the Helsinki Birth Cohort Study. Physical functioning was assessed by the Short Form 36 scale. Anthropometric data from infancy and childhood were retrieved from medical records. The risk of lower Short Form 36 physical functioning at the mean age of 61.6 years was increased for those with birth weight less than 2.5 kg compared with those weighing 3.0-3.5 kg at birth (odds ratio (OR) = 2.73, 95% confidence interval (CI): 1.57, 4.72). The gain in weight from birth to age 2 years was associated with decreased risk of lower physical functioning for a 1-standard deviation increase (OR = 0.84, 95% CI: 0.75, 0.94). The risk of lower physical functioning was highest for individuals with birth weight in the lowest third and body mass index at 11 years of age in the highest third compared with those whose birth weight was in the middle third and body mass index at age 11 years was in the highest third (OR = 3.08, 95% CI: 1.83, 5.19). The increasing prevalence of obesity at all ages and the aging of populations warrant closer investigation of the role of weight trajectories in old age functional decline.
PubMed ID
22071586 View in PubMed
Less detail

Body fat and mobility are explained by common genetic and environmental influences in older women.

https://arctichealth.org/en/permalink/ahliterature157662
Source
Obesity (Silver Spring). 2008 Jul;16(7):1616-21
Publication Type
Article
Date
Jul-2008
Author
Alfredo Ortega-Alonso
Sarianna Sipilä
Urho M Kujala
Jaakko Kaprio
Taina Rantanen
Author Affiliation
Department of Health Sciences, University of Jyväskylä, Jyväskylä, Finland. alfredo.ortega@sport.jyu.fi
Source
Obesity (Silver Spring). 2008 Jul;16(7):1616-21
Date
Jul-2008
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Adiposity - genetics
Age Factors
Aged
Aging - genetics
Electric Impedance
Environment
Female
Finland
Genetic Predisposition to Disease
Humans
Locomotion - genetics
Middle Aged
Mobility Limitation
Models, Genetic
Obesity - genetics - physiopathology
Physical Endurance - genetics
Risk factors
Twins, Dizygotic - genetics
Twins, Monozygotic - genetics
Walking
Abstract
In older adults, mobility limitations often coexist with overweight or obesity, suggesting that similar factors may underlie both traits. This study examined the extent to which genetic and environmental influences explain the association between adiposity and mobility in older women. Body fat percentage (bioimpedance test), walking speed over 10 m, and distance walked in a 6-min test were evaluated in 92 monozygotic (MZ) and 104 dizygotic (DZ) pairs of twin sisters reared together, aged 63-76 years. Genetic and environmental influences on each trait were estimated using age-adjusted multivariate genetic modeling. The analyses showed that the means (and s.d.) for body fat percentage, walking speed, and walking endurance were 33.2+/-7.3%, 1.7+/-0.3 m/s and 529.7+/-75.4 m, respectively. The phenotypic correlation between adiposity and walking speed was -0.32 and between adiposity and endurance it was -0.33. Genetic influences explained 80% of the association between adiposity and speed, and 65% of adiposity and walking endurance. Cross-trait genetic influences accounted for 12% of the variability in adiposity, 56% in walking speed, and 34% in endurance. Trait-specific genetic influences were also detected for adiposity (54%) and walking endurance (13%), but not speed. In conclusion, among community-living older women, an inverse association was found between adiposity and mobility that was mostly due to the effect of shared genes. This result suggests that the identification of genetic variants for body fat metabolism may also provide understanding of the development of mobility limitations in older women.
PubMed ID
18421266 View in PubMed
Less detail

Change in subjective age among older people over an eight-year follow-up: 'getting older and feeling younger?'.

https://arctichealth.org/en/permalink/ahliterature167435
Source
Exp Aging Res. 2006 Oct-Dec;32(4):381-93
Publication Type
Article
Author
Virpi Uotinen
Taina Rantanen
Timo Suutama
Isto Ruoppila
Author Affiliation
The Finnish Centre for Interdisciplinary Gerontology, University of Jyväskylä, Jyväskylä, Finland. virpi.uotinen@avoin.jyu.fi
Source
Exp Aging Res. 2006 Oct-Dec;32(4):381-93
Language
English
Publication Type
Article
Keywords
Adaptation, Psychological
Aged
Aged, 80 and over
Aging - psychology
Female
Finland
Follow-Up Studies
Humans
Male
Perception
Prospective Studies
Self Concept
Abstract
The purpose of this prospective study was to describe changes in subjective age over an 8-year period among community-dwelling people aged 65 to 84 years in Finland. At the baseline 1155 respondents met study criteria and 451 of these participated in the follow-up study. Participants described in years the age they felt themselves to be (feel age) and their preferred age (ideal age). Discrepancy scores relative to chronological age were calculated for feel age and ideal age. No significant mean-level changes were observed in the age discrepancy scores over the 8-year time frame. The baseline discrepancy between chronological and feel age remained constant among 48% of the participants, with 26% reporting a younger and 26% an older feel age. Similar patterns were observed in the discrepancy between chronological age and ideal age. The findings point both to stability and to individual variability in feel and preferred age identification over time in older adults.
PubMed ID
16982569 View in PubMed
Less detail

Cohort differences in health, functioning and physical activity in the young-old Finnish population.

https://arctichealth.org/en/permalink/ahliterature144725
Source
Aging Clin Exp Res. 2011 Apr;23(2):126-34
Publication Type
Article
Date
Apr-2011
Author
Eino Heikkinen
Markku Kauppinen
Taina Rantanen
Raija Leinonen
Tiina-Mari Lyyra
Timo Suutama
Riitta-Liisa Heikkinen
Author Affiliation
Gerontology Research Centre, Department of Health Sciences, University of Jyväskylä, P.O. Box 35 (Viv) FI-40014 University of Jyväskylä, Jyväskylä, Finland. eino.heikkinen@jyu.fi
Source
Aging Clin Exp Res. 2011 Apr;23(2):126-34
Date
Apr-2011
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Aged
Aging - physiology - psychology
Chronic Disease
Cohort Studies
Cross-Sectional Studies
Female
Finland - epidemiology
Geriatric Assessment
Health status
Humans
Logistic Models
Male
Mortality
Motor Activity
Social Class
Abstract
A mixed picture emerges from the international literature about secular and cohort changes in the health and functioning of older adults. We conducted a repeated population based cross-sectional study to determine trends in health, functioning and physical activity in the young old Finnish population.
Representative samples of community-dwelling people aged 65-69 years in 1988 (n=362), 1996 (n=320) and 2004 (n=292) were compared in socio-economic status, self-rated health, chronic diseases, memory problems, ability to carry out instrumental activities of daily living, physical activity, and five-year mortality.
Significant improvement in all the investigated modalities, except that of chronic diseases, was observed in the newer cohorts. In logistic regression analysis, after controlling for socioeconomic status and gender, cohort effects remained significant for memory problems, IADL difficulties and physical activity. Cox regression analyses showed significant improvement in survival when later cohorts were compared with the earlier ones.
This study provides evidence of improving levels of socio-economic status, self-rated health, functioning, physical activity, and lower risk of mortality in the newer cohorts of the Finnish young-old, but this was not accompanied by a parallel diminution in chronic diseases.
PubMed ID
20308805 View in PubMed
Less detail

Coronary artery calcium and physical performance as determinants of mortality in older age: the AGES-Reykjavik Study.

https://arctichealth.org/en/permalink/ahliterature259231
Source
Int J Cardiol. 2013 Oct 3;168(3):2094-9
Publication Type
Article
Date
Oct-3-2013
Author
Mikaela B von Bonsdorff
Danielle A I Groffen
Jean-Sebastien Vidal
Taina Rantanen
Palmi V Jonsson
Melissa Garcia
Thor Aspelund
Gudny Eiriksdottir
Kristin Siggeirsdóttir
Lenore Launer
Vilmundur Gudnason
Tamara B Harris
Source
Int J Cardiol. 2013 Oct 3;168(3):2094-9
Date
Oct-3-2013
Language
English
Publication Type
Article
Keywords
Age Factors
Aged
Calcinosis - mortality - physiopathology - radiography
Calcium - metabolism
Coronary Angiography
Coronary Artery Disease - mortality - physiopathology - radiography
Coronary Vessels - metabolism
Female
Follow-Up Studies
Humans
Iceland - epidemiology
Male
Motor Activity - physiology
Multidetector Computed Tomography
Prospective Studies
Risk factors
Severity of Illness Index
Survival Rate - trends
Tomography, X-Ray Computed
Abstract
Coronary artery calcium (CAC) and physical performance have been shown to be associated with mortality, but it is not clear whether one of them modifies the association. We investigated the association between the extent of CAC and physical performance among older individuals and explored these individual and combined effects on cardiovascular disease (CVD) mortality and non-CVD mortality.
We studied 4074 participants of the AGES-Reykjavik Study who were free from coronary heart disease, had a CAC score calculated from computed tomography scans and had data on mobility limitations and gait speed at baseline in 2002-2006 at a mean age of 76 years. Register-based mortality was available until 2009.
Odds for mobility limitation and slow gait increased according to the extent of CAC. Altogether 645 persons died during the follow-up. High CAC, mobility limitation and slow gait were independent predictors of CVD mortality and non-CVD mortality. The joint effect of CAC and gait speed on non-CVD mortality was synergistic, i.e. compared to having low CAC and normal gait, the joint effect of high CAC and slow gait exceeded the additive effect of these individual exposures on non-CVD mortality. For CVD mortality, the effect was additive i.e. the joint effect of high CAC and slow gait did not exceed the sum of the individual exposures.
The extent of CAC and decreased physical performance were independent predictors of mortality and the joint presence of these risk factors increased the risk of non-CVD mortality above and beyond the individual effects.
Notes
Cites: J Nutr Health Aging. 2009 Dec;13(10):881-919924348
Cites: Heart. 2010 Mar;96(5):380-419955091
Cites: Stroke. 2010 May;41(5):891-720360538
Cites: BMJ. 2010;341:c446720829298
Cites: JAMA. 2011 Jan 5;305(1):50-821205966
Cites: Int J Cardiol. 2012 Mar 22;155(3):474-522243934
Cites: Eur J Epidemiol. 2005;20(7):575-916119429
Cites: J Am Geriatr Soc. 2005 Oct;53(10):1675-8016181165
Cites: Stroke. 2005 Oct;36(10):2198-20216166578
Cites: Circulation. 2006 Oct 17;114(16):1761-9117015792
Cites: Circulation. 2007 Jan 23;115(3):402-2617220398
Cites: Am J Epidemiol. 2007 May 1;165(9):1076-8717351290
Cites: Am J Epidemiol. 2007 Sep 1;166(5):599-60517566063
Cites: N Engl J Med. 2008 Mar 27;358(13):1336-4518367736
Cites: Nature. 2008 Jul 24;454(7203):436-4418650914
Cites: J Gerontol A Biol Sci Med Sci. 2008 Oct;63(10):1112-818948563
Cites: N Engl J Med. 1995 Mar 2;332(9):556-617838189
Cites: Lancet. 1995 Apr 1;345(8953):825-97898229
Cites: J Am Coll Cardiol. 1997 Jul;30(1):57-649207621
Cites: N Engl J Med. 1999 Jan 14;340(2):115-269887164
Cites: Bull World Health Organ. 1962;27:645-5813974778
Cites: Radiology. 2005 Jan;234(1):35-4315618373
Cites: J Appl Physiol (1985). 2005 Mar;98(3):911-715542570
Cites: Circulation. 2005 Jul 26;112(4):572-716009800
Cites: J Am Coll Cardiol. 2000 Oct;36(4):1253-6011028480
Cites: Proc Natl Acad Sci U S A. 2001 Apr 10;98(8):4770-511287659
Cites: J Am Coll Cardiol. 2002 Jan 16;39(2):225-3011788211
Cites: Med Sci Sports Exerc. 2002 Feb;34(2):228-3311828230
Cites: Ann Neurol. 2002 Aug;52(2):168-7412210786
Cites: J Am Coll Cardiol. 2003 Jun 4;41(11):1874-8612798554
Cites: Radiology. 2003 Sep;228(3):826-3312869688
Cites: Eur Heart J. 2004 Jan;25(1):48-5514683742
Cites: J Am Geriatr Soc. 2004 Jul;52(7):1105-1315209648
Cites: JAMA. 2004 Jul 28;292(4):453-6115280343
Cites: Am J Epidemiol. 1974 Jun;99(6):385-84841816
Cites: J Am Coll Cardiol. 1990 Mar 15;15(4):827-322407762
Cites: Epidemiology. 1992 Sep;3(5):452-61391139
Cites: J Gerontol. 1994 Mar;49(2):M85-948126356
Cites: J Gerontol. 1994 May;49(3):M97-1088169338
Cites: Circulation. 1994 Oct;90(4):2126-467718033
Cites: Ann Intern Med. 1995 Jan 15;122(2):96-1027993002
Cites: J Am Coll Cardiol. 2009 Jan 27;53(4):345-5219161884
Cites: Am J Epidemiol. 2009 Feb 15;169(4):444-5419075250
Cites: J Gerontol A Biol Sci Med Sci. 2009 Apr;64(4):455-6119196644
Cites: BMJ. 2009;339:b446019903980
PubMed ID
23414742 View in PubMed
Less detail

85 records – page 1 of 9.