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Active living among older Canadians: a time-use perspective over 3 decades.

https://arctichealth.org/en/permalink/ahliterature116266
Source
J Aging Phys Act. 2014 Jan;22(1):103-13
Publication Type
Article
Date
Jan-2014
Author
Jamie E L Spinney
Hugh Millward
Author Affiliation
Dept. of Geography, Saint Mary's University, Halifax, NS, Canada.
Source
J Aging Phys Act. 2014 Jan;22(1):103-13
Date
Jan-2014
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Aged
Aged, 80 and over
Aging - physiology - psychology
Canada - epidemiology
Demography
Energy Metabolism
Female
Health Behavior
Humans
Independent Living - statistics & numerical data
Leisure Activities
Male
Motor Activity
Physical Exertion
Prevalence
Seasons
Socioeconomic Factors
Time Factors
Abstract
This research uses four nationally representative samples of time diary data, spanning almost 30 yr, that are fused with energy expenditure information to enumerate the median daily duration of moderate or vigorous effort activity, quantify the prevalence of Canadians age 65 yr and older who are meeting recommended daily levels of physical activity, and explore the factors affecting rates of active living. Results indicate that 41.1% of older Canadians met recommended levels of physical activity in 1992, 40.6% in 1998, 43.5% in 2005, and 39.6% in 2010. Both rates of active living and daily duration of aerobic activity exhibit significant differences among sociodemographic groups, with age, sex, activity limitation, urban-rural, and season exhibiting the most significant influences. This study illustrates the potential for time diary data to provide detailed surveillance of physical activity patterns, active aging research, and program development, as well.
PubMed ID
23416414 View in PubMed
Less detail

Amount and type of alcohol consumption and missing teeth among community-dwelling older adults: findings from the Copenhagen Oral Health Senior study.

https://arctichealth.org/en/permalink/ahliterature127155
Source
J Public Health Dent. 2011;71(4):318-26
Publication Type
Article
Date
2011
Author
Karen Heegaard
Kirsten Avlund
Poul Holm-Pedersen
Ulla A Hvidtfeldt
Allan Bardow
Morten Grønbaek
Author Affiliation
Copenhagen Gerontological Oral Health Research Centre, University of Copenhagen, Copenhagen, Denmark. karen.heegaard@mail.tele.dk
Source
J Public Health Dent. 2011;71(4):318-26
Date
2011
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Alcohol drinking - epidemiology
Alcoholic Beverages - classification - statistics & numerical data
Beer - statistics & numerical data
Cross-Sectional Studies
Denmark - epidemiology
Educational Status
Female
Follow-Up Studies
Humans
Income - statistics & numerical data
Independent Living - statistics & numerical data
Longitudinal Studies
Male
Population Surveillance
Sedentary lifestyle
Sex Factors
Smoking - epidemiology
Social Class
Temperance - statistics & numerical data
Tooth Loss - epidemiology
Wine - statistics & numerical data
Abstract
To study if an association between total weekly intake of alcohol, type-specific weekly alcohol intake, alcoholic beverage preference, and the number of teeth among older people exists.
A cross-sectional study including a total of 783 community-dwelling men and women aged 65-95 years who were interviewed about alcohol drinking habits and underwent a clinical oral and dental examination. Multiple regression analyses were applied for studying the association between total weekly alcohol consumption, beverage-specific alcohol consumption, beverage preference (defined as the highest intake of one beverage type compared with two other types), and the number of remaining teeth (= 20 versus >20 remaining teeth).
The odds ratio (OR) of having a low number of teeth decreased with the total intake of alcohol in women, with ORs for a low number of teeth of 0.40 [95 percent confidence interval (CI) 0.22-0.76] in women drinking 1-14 drinks per week and 0.34 (95 percent CI 0.16-0.74) in women with an intake of more than 14 drinks per week compared with abstainers. Similar relations could also be obtained for type-specific alcohol intake of wine and for wine and spirits preference among women. Men who preferred beer showed a decreased risk for a low number of teeth compared with men with other alcohol preferences.
In this study, alcohol consumption, wine drinking, and wine and spirits preference among women were associated with a higher number of teeth compared with abstainers. Among men, those who preferred beer also had a higher number of teeth.
PubMed ID
22320290 View in PubMed
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Antibiotic resistance patterns of bacteria causing urinary tract infections in the elderly living in nursing homes versus the elderly living at home: an observational study.

https://arctichealth.org/en/permalink/ahliterature269775
Source
BMC Geriatr. 2015;15:98
Publication Type
Article
Date
2015
Author
Mark Fagan
Morten Lindbæk
Nils Grude
Harald Reiso
Maria Romøren
Dagfinn Skaare
Dag Berild
Source
BMC Geriatr. 2015;15:98
Date
2015
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Anti-Infective Agents, Urinary - classification - pharmacology
Cross-Sectional Studies
Drug Resistance, Bacterial
Escherichia coli - drug effects
Escherichia coli Infections - diagnosis - drug therapy - epidemiology
Female
Homes for the Aged - statistics & numerical data
Humans
Independent Living - statistics & numerical data
Male
Norway - epidemiology
Nursing Homes - statistics & numerical data
Practice Guidelines as Topic
Proteus Infections - diagnosis - drug therapy - epidemiology
Proteus mirabilis - drug effects
Sex Factors
Urinalysis - methods
Urinary Tract Infections - diagnosis - drug therapy - epidemiology - microbiology
Abstract
Antibiotic resistance is a problem in nursing homes. Presumed urinary tract infections (UTI) are the most common infection. This study examines urine culture results from elderly patients to see if specific guidelines based on gender or whether the patient resides in a nursing home (NH) are warranted.
This is a cross sectional observation study comparing urine cultures from NH patients with urine cultures from patients in the same age group living in the community.
There were 232 positive urine cultures in the NH group and 3554 in the community group. Escherichia coli was isolated in 145 urines in the NH group (64%) and 2275 (64%) in the community group. There were no clinically significant differences in resistance. Combined, there were 3016 positive urine cultures from females and 770 from males. Escherichia coli was significantly more common in females 2120 (70%) than in males 303 (39%) (p?
Notes
Cites: Intern Med J. 2012 Jul;42(7):e157-6421241444
Cites: J Antimicrob Chemother. 2012 Dec;67(12):2982-722865381
Cites: BMC Geriatr. 2012;12:7323176555
Cites: BMC Urol. 2012;12:3323171154
Cites: BMC Infect Dis. 2013;13:1923327474
Cites: JAMA. 1999 Oct 20;282(15):1458-6510535437
Cites: Infect Dis Clin North Am. 2014 Mar;28(1):75-8924484576
Cites: J Am Geriatr Soc. 2001 Mar;49(3):270-611300237
Cites: Infect Control Hosp Epidemiol. 2001 Mar;22(3):167-7511310697
Cites: BMC Geriatr. 2014;14:3024625344
Cites: J Am Med Dir Assoc. 2015 Mar;16(3):229-3725458444
Cites: Age Ageing. 2003 Jan;32(1):12-812540342
Cites: J Am Med Dir Assoc. 2003 Mar-Apr;4(2 Suppl):S52-912807571
Cites: N Engl J Med. 1981 Sep 24;305(13):731-57266615
Cites: Rev Infect Dis. 1987 Nov-Dec;9(6):1127-393321363
Cites: Ann Intern Med. 1989 Jan 15;110(2):138-502462391
Cites: Clin Microbiol Rev. 1996 Jan;9(1):1-178665472
Cites: JAMA. 1999 Feb 10;281(6):517-2310022107
Cites: Clin Infect Dis. 2005 Mar 1;40(5):643-5415714408
Cites: Int J Antimicrob Agents. 2005 Nov;26(5):380-816243229
Cites: Tidsskr Nor Laegeforen. 2006 Apr 6;126(8):1058-6016619066
Cites: Infection. 2007 Jun;35(3):150-317565455
Cites: Clin Infect Dis. 2007 Aug 1;45(3):273-8017599303
Cites: BMJ. 2008;337:a143818801866
Cites: Tidsskr Nor Laegeforen. 2008 Oct 23;128(20):2324-919096488
Cites: BMC Fam Pract. 2011;12:3621592413
Cites: S Afr Med J. 2011 May;101(5):328-3121837876
Cites: Scand J Urol Nephrol. 2011 Sep;45(4):265-921452928
Cites: Scand J Urol Nephrol. 2011 Dec;45(6):401-521815861
Cites: Scand J Prim Health Care. 2012 Mar;30(1):10-522188479
Cites: Infect Control Hosp Epidemiol. 2012 Apr;33(4):416-2022418641
Cites: Clin Microbiol Infect. 2013 Oct;19(10):962-823279375
Cites: Eur J Clin Microbiol Infect Dis. 2013 Dec;32(12):1545-5624213913
Cites: J Infect Dis. 2001 Mar 1;183 Suppl 1:S5-811171003
PubMed ID
26238248 View in PubMed
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The association between anemia and falls in community-living women and men aged 65 years and older from the fifth Tromsø Study 2001-02: a replication study.

https://arctichealth.org/en/permalink/ahliterature293028
Source
BMC Geriatr. 2017 12 27; 17(1):292
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Date
12-27-2017
Author
Laila Arnesdatter Hopstock
Elisabeth Bøe Utne
Alexander Horsch
Tove Skjelbakken
Author Affiliation
Department of Health and Care Sciences, Faculty of Health Sciences, UiT The Arctic University of Norway, N-9037, Tromsø, Norway. laila.hopstock@uit.no.
Source
BMC Geriatr. 2017 12 27; 17(1):292
Date
12-27-2017
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Keywords
Accidental Falls - prevention & control - statistics & numerical data
Aged
Aged, 80 and over
Anemia - complications - diagnosis - epidemiology - physiopathology
Cohort Studies
Female
Frailty - diagnosis - epidemiology - physiopathology
Geriatric Assessment - methods
Hemoglobins - analysis
Humans
Independent Living - statistics & numerical data
Male
Norway - epidemiology
Risk Assessment - methods
Risk factors
Self Report
Statistics as Topic
Abstract
Falls are common among elderly people, and the risk increase with age. Falls are associated with both health and social consequences for the patient, and major societal costs. Identification of risk factors should be investigated to prevent falls. Previous studies have shown anemia to be associated with increased risk of falling, but the results are inconsistent. The aim of this study was to investigate the association between anemia and self-reported falls among community-living elderly people. The study is a replication of the study by Thaler-Kall and colleagues from 2014, who studied the association between anemia and self-reported falls among 967 women and men 65 years and older in the KORA-Age study from 2009.
We included 2441 participants (54% women) 65 years and older from the population-based Tromsø 5 Study 2001-2002. Logistic regression models were used to investigate the association between anemia (hemoglobin
Notes
Cites: J Am Geriatr Soc. 1997 Jun;45(6):739-43 PMID 9180670
Cites: J Gerontol A Biol Sci Med Sci. 2001 Mar;56(3):M146-56 PMID 11253156
Cites: N Engl J Med. 1988 Dec 29;319(26):1701-7 PMID 3205267
Cites: Am J Med. 2006 Apr;119(4):327-34 PMID 16564775
Cites: Osteoporos Int. 2010 Oct;21(10):1761-8 PMID 19957163
Cites: J Am Geriatr Soc. 2004 May;52(5):719-24 PMID 15086651
Cites: Eur J Haematol. 2005 May;74(5):381-8 PMID 15813911
Cites: Epidemiology. 2010 Sep;21(5):658-68 PMID 20585256
Cites: Z Gerontol Geriatr. 2012 Feb;45(2):128-37 PMID 22270892
Cites: Z Gerontol Geriatr. 2011 Dec;44 Suppl 2:41-54 PMID 22270973
Cites: J Am Med Dir Assoc. 2007 Mar;8(3 Suppl 2):e9-e15 PMID 17352999
Cites: J Am Geriatr Soc. 2005 Dec;53(12):2106-11 PMID 16398894
Cites: J Gerontol A Biol Sci Med Sci. 2004 Mar;59(3):255-63 PMID 15031310
Cites: J Chronic Dis. 1987;40(5):373-83 PMID 3558716
Cites: Clin Geriatr Med. 2011 Feb;27(1):1-15 PMID 21093718
Cites: Med Care. 2005 Jun;43(6):607-15 PMID 15908856
Cites: Blood. 2004 Oct 15;104(8):2263-8 PMID 15238427
Cites: J Nurs Scholarsh. 2017 Sep;49(5):529-536 PMID 28755453
Cites: Curr Med Res Opin. 2008 Aug;24(8):2139-49 PMID 18561876
Cites: J Bone Miner Res. 1998 Dec;13(12):1932-9 PMID 9844112
Cites: Aging Clin Exp Res. 2003 Feb;15(1):43-50 PMID 12841418
Cites: BMC Geriatr. 2014 Mar 07;14:29 PMID 24602338
Cites: J Gerontol A Biol Sci Med Sci. 2007 Oct;62(10):1172-81 PMID 17921433
Cites: Am J Med. 2003 Aug 1;115(2):104-10 PMID 12893395
Cites: J Am Med Dir Assoc. 2004 Nov-Dec;5(6):395-400 PMID 15530178
Cites: JAMA. 1999 May 12;281(18):1714-7 PMID 10328071
Cites: Drugs Aging. 2008;25(4):325-34 PMID 18361542
Cites: Age Ageing. 1997 May;26(3):189-93 PMID 9223714
PubMed ID
29282000 View in PubMed
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Cardiovascular biomarkers predict fragility fractures in older adults.

https://arctichealth.org/en/permalink/ahliterature299736
Source
Heart. 2019 03; 105(6):449-454
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Date
03-2019
Author
Madeleine Johansson
Fabrizio Ricci
Giuseppe Di Martino
Cecilia Rogmark
Richard Sutton
Viktor Hamrefors
Olle Melander
Artur Fedorowski
Author Affiliation
Department of Clinical Sciences, Faculty of Medicine, Clinical Research Center, Lund University, Malmö, Sweden.
Source
Heart. 2019 03; 105(6):449-454
Date
03-2019
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Keywords
Adrenomedullin - blood
Aged
Atrial Natriuretic Factor - blood
Biomarkers - blood
Body mass index
Cardiovascular System - metabolism
Cohort Studies
Correlation of Data
Endothelin-1 - blood
Female
Fractures, Bone - blood
Humans
Independent Living - statistics & numerical data
Male
Middle Aged
Peptide Fragments - blood
Prospective Studies
Protein Precursors - blood
Reproducibility of Results
Risk assessment
Risk factors
Sweden
Vasopressins - blood
Abstract
To assess the role of four biomarkers of neuroendocrine activation and endothelial dysfunction in the longitudinal prediction of fragility fractures.
We analysed a population-based prospective cohort of 5415 community-dwelling individuals (mean age, 68.9±6.2 years) enrolled in the Malmö Preventive Project followed during 8.1±2.9 years, and investigated the longitudinal association between C-terminal pro-arginine vasopressin (CT-proAVP), C-terminal endothelin-1 precursor fragment (CT-proET-1), the mid-regional fragments of pro-adrenomedullin (MR-proADM) and pro-atrial natriuretic peptide (MR-proANP), and incident vertebral, pelvic and extremity fractures.
Overall, 1030 (19.0%) individuals suffered vertebral, pelvic or extremity fracture. They were older (70.7±5.8 vs 68.4±6.3 years), more likely women (46.9% vs 26.3%), had lower body mass index and diastolic blood pressure, were more often on antihypertensive treatment (44.1% vs 38.4%) and had more frequently history of fracture (16.3% vs 8.1%). Higher levels of MR-proADM (adjusted HR (aHR) per 1 SD: 1.51, 95% CI 1.01 to 2.28, p
Notes
CommentIn: Heart. 2019 Mar;105(6):427-428 PMID 30361269
PubMed ID
30322844 View in PubMed
Less detail

Comparison of predictors of hip fracture and mortality after hip fracture in community-dwellers with and without Alzheimer's disease - exposure-matched cohort study.

https://arctichealth.org/en/permalink/ahliterature283663
Source
BMC Geriatr. 2016 Dec 01;16(1):204
Publication Type
Article
Date
Dec-01-2016
Author
Anna-Maija Tolppanen
Heidi Taipale
Antti Tanskanen
Jari Tiihonen
Sirpa Hartikainen
Source
BMC Geriatr. 2016 Dec 01;16(1):204
Date
Dec-01-2016
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Alzheimer Disease - epidemiology
Causality
Cohort Studies
Comorbidity
Demography
Female
Finland - epidemiology
Hip Fractures - epidemiology - mortality
Humans
Incidence
Independent Living - statistics & numerical data
Male
Proportional Hazards Models
Risk factors
Socioeconomic Factors
Abstract
Dementia, with Alzheimer's disease (AD) being the most common form, is a major hip fracture risk factor, but currently it is not known whether the same factors predict hip fracture among persons with and without dementia/AD. We compared the predictors of hip fracture and mortality after hip fracture in persons with and without AD.
An exposure-matched cohort of all community-dwellers of Finland who received a new clinically verified AD diagnosis in 2005-2011 and had no history of previous hip fracture (N = 67,072) and an age, sex, and region-matched cohort of persons without AD (N = 67,072). Associations between sociodemographic characteristics, comorbidities and medications and risk of hip fracture and mortality after hip fracture were assessed with Cox regression.
As expected, the incidence of hip fractures in 2005-2012 (2.19/100 person-years vs 0.90/100 person-years in the non-AD cohort), as well as mortality after hip fracture (29/100 person-years vs 23/100 person-years in the non-AD cohort) were higher in the AD cohort. This difference was evident regardless of the risk factors. Mental and behavioural disorders (adjusted hazard ratio; HR 95% confidence interval CI: 1.16, 1.09-1.24 and 1.71, 1.52-1.92 in the AD and non-AD-cohorts), antipsychotics (1.12, 1.04-1.20 and 1.56, 1.38-1.76 for AD and non-AD-cohorts) and antidepressants (1.06, 1.00-1.12 and 1.34 1.22-1.47 for AD and non-AD-cohorts) were related to higher, and estrogen/combination hormone therapy (0.87, 0.77-0.9 and 0.79, 0.64-0.98 for AD and non-AD-cohorts) to lower hip fracture risk in both cohorts. Stroke (1.42, 1.26-1.62), diabetes (1.13, 0.99-1.28), active cancer treatment (1.67, 1.22-2.30), proton pump inhibitors (1.14, 1.05-1.25), antiepileptics (1.27, 1.11-1.46) and opioids (1.10, 1.01-1.19) were associated with higher hip fracture risk in the non-AD cohort. Similarly, the associations between mortality risk factors (age, sex, several comorbidities and medications) were stronger in the non-AD cohort.
AD itself appears to be such a significant risk factor for hip fracture, and mortality after hip fracture, that it overrules or diminishes the effect of other risk factors. Thus, it is important to develop and implement preventive interventions that are suitable and effective in this population.
Notes
Cites: Arch Gerontol Geriatr. 2014 Jul-Aug;59(1):1-624657007
Cites: Eur Neuropsychopharmacol. 2015 Oct;25(10):1706-1326233607
Cites: J Orthop Sci. 2007 Mar;12(2):113-717393264
Cites: Injury. 2015 Apr;46(4):713-825627481
Cites: Osteoporos Int. 2014 Dec;25(12):2817-2425092059
Cites: Injury. 2015;46(6):1028-3525813734
Cites: Methods Inf Med. 2007;46(5):558-6617938779
Cites: Cochrane Database Syst Rev. 2008 Jan 23;(1):CD00337618254018
Cites: BMJ. 2013 Oct 29;347:f623424169944
Cites: J Am Med Dir Assoc. 2014 May;15(5):334-4124524851
Cites: Drugs Aging. 2012 Jan 1;29(1):15-3022191720
Cites: Mol Neurobiol. 2016 Apr 12;:null27072352
Cites: Ann Pharmacother. 2012 Jul-Aug;46(7-8):917-2822811347
Cites: Cochrane Database Syst Rev. 2013 Mar 28;(3):CD00772623543555
Cites: Drugs Aging. 2014 Jul;31(7):547-5324825617
Cites: Clin Epidemiol. 2016 Oct 11;8:363-37127785101
Cites: Cochrane Database Syst Rev. 2012 Sep 12;(9):CD00714622972103
Cites: Injury. 2013 Dec;44(12):1930-323688407
Cites: QJM. 2007 Sep;100(9):539-4517693418
Cites: Drugs Aging. 2011 Nov 1;28(11):913-2522054232
Cites: Cochrane Database Syst Rev. 2008 Jan 23;(1):CD00452318254053
Cites: Sci Rep. 2016 Mar 18;6:2336026987933
Cites: Ann Med. 2011 Jun;43 Suppl 1:S39-4621639716
Cites: BMJ Open. 2016 Jul 13;6(7):e01210027412109
Cites: Alzheimers Dement. 2016 Apr;12 (4):459-50927570871
Cites: Clin Geriatr Med. 2014 May;30(2):175-8124721358
Cites: J Clin Psychopharmacol. 2014 Aug;34(4):435-4024875073
Cites: Clin Epidemiol. 2013 Aug 07;5:277-8523950660
Cites: Osteoporos Int. 2016 Oct;27(10):2935-4427105645
Cites: Scand J Public Health. 2012 Aug;40(6):505-1522899561
Cites: J Clin Psychopharmacol. 2012 Apr;32(2):218-2422367651
Cites: Cochrane Database Syst Rev. 2005 Jan 25;(1):CD00444115674948
Cites: Osteoporos Int. 2005 Dec;16(12):2185-9416177836
Cites: Arch Phys Med Rehabil. 2015 Jul;96(7):1215-2125701641
Cites: Osteoporos Int. 2014 Jan;25(1):105-2024013517
Cites: J Gerontol A Biol Sci Med Sci. 2007 Oct;62(10):1172-8117921433
Cites: BMC Med Inform Decis Mak. 2015 Mar 25;15:2125890003
Cites: Age Ageing. 2011 Jan;40(1):49-5421087990
Cites: Br J Psychiatry. 2015 Nov;207 (5):444-926450581
Cites: Neurology. 1984 Jul;34(7):939-446610841
Cites: Cochrane Database Syst Rev. 2008 Jan 23;(1):CD00115518253985
PubMed ID
27908278 View in PubMed
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Comparison of Summer and Winter Objectively Measured Physical Activity and Sedentary Behavior in Older Adults: Age, Gene/Environment Susceptibility Reykjavik Study.

https://arctichealth.org/en/permalink/ahliterature290965
Source
Int J Environ Res Public Health. 2017 10 21; 14(10):
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, U.S. Gov't, Non-P.H.S.
Date
10-21-2017
Author
Nanna Yr Arnardottir
Nina Dora Oskarsdottir
Robert J Brychta
Annemarie Koster
Dane R van Domelen
Paolo Caserotti
Gudny Eiriksdottir
Johanna E Sverrisdottir
Erlingur Johannsson
Lenore J Launer
Vilmundur Gudnason
Tamara B Harris
Kong Y Chen
Thorarinn Sveinsson
Author Affiliation
Faculty of Education, University of Akureyri, Nordurslod 2, 600 Akureyri, Iceland. nanna@unak.is.
Source
Int J Environ Res Public Health. 2017 10 21; 14(10):
Date
10-21-2017
Language
English
Publication Type
Journal Article
Research Support, Non-U.S. Gov't
Research Support, N.I.H., Extramural
Research Support, N.I.H., Intramural
Research Support, U.S. Gov't, Non-P.H.S.
Keywords
Accelerometry
Aged
Aged, 80 and over
Exercise
Female
Humans
Iceland
Independent Living - statistics & numerical data
Male
Seasons
Sedentary lifestyle
Abstract
In Iceland, there is a large variation in daylight between summer and winter. The aim of the study was to identify how this large variation influences physical activity (PA) and sedentary behavior (SB). Free living PA was measured by a waist-worn accelerometer for one week during waking hours in 138 community-dwelling older adults (61.1% women, 80.3 ± 4.9 years) during summer and winter months. In general, SB occupied about 75% of the registered wear-time and was highly correlated with age (ß = 0.36). Although the differences were small, more time was spent during the summer in all PA categories, except for the moderate-to-vigorous PA (MVPA), and SB was reduced. More lifestyle PA (LSPA) was accumulated in =5-min bouts during summer than winter, especially among highly active participants. This information could be important for policy makers and health professionals working with older adults. Accounting for seasonal difference is necessary in analyzing SB and PA data.
Notes
Cites: BMC Med Res Methodol. 2009 Aug 10;9:58 PMID 19664254
Cites: Am J Epidemiol. 2001 Jan 15;153(2):172-83 PMID 11159163
Cites: BMC Public Health. 2014 Mar 27;14:284 PMID 24673834
Cites: Am J Epidemiol. 2007 May 1;165(9):1076-87 PMID 17351290
Cites: Ann Hum Biol. 2014 Jan-Feb;41(1):1-8 PMID 23992280
Cites: Med Sci Sports Exerc. 2011 Apr;43(4):647-54 PMID 20689449
Cites: Int J Behav Nutr Phys Act. 2009 Jun 29;6:36 PMID 19563650
Cites: Appl Physiol Nutr Metab. 2009 Apr;34(2):182-90 PMID 19370048
Cites: Med Sci Sports Exerc. 2007 Aug;39(8):1423-34 PMID 17762377
Cites: Med Sci Sports Exerc. 2008 Jan;40(1):181-8 PMID 18091006
Cites: J Epidemiol Community Health. 2010 Nov;64(11):1010-6 PMID 19843499
Cites: Ann Hum Biol. 2008 Mar-Apr;35(2):154-69 PMID 18428010
Cites: Am J Clin Nutr. 2008 Nov;88(5):1225-31 PMID 18996856
Cites: Med Sci Sports Exerc. 2007 Aug;39(8):1435-45 PMID 17762378
Cites: J Aging Phys Act. 2009 Jan;17(1):17-30 PMID 19299836
Cites: Med Sci Sports Exerc. 2013 Aug;45(8):1493-500 PMID 23475142
Cites: J Intern Med. 2007 Sep;262(3):273-87 PMID 17697152
Cites: Med Sci Sports Exerc. 1993 Jun;25(6):755-60 PMID 8321115
Cites: Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S512-22 PMID 16294114
Cites: Public Health. 2007 Dec;121(12):909-22 PMID 17920646
Cites: Prev Chronic Dis. 2008 Oct;5(4):A131 PMID 18793519
Cites: J Phys Act Health. 2009 Mar;6(2):252-61 PMID 19420404
Cites: Med Sci Sports Exerc. 2004 Aug;36(8):1364-71 PMID 15292745
Cites: Int J Biometeorol. 2005 Nov;50(2):83-9 PMID 16044348
Cites: Med Sci Sports Exerc. 2016 Mar;48(3):430-8 PMID 26460633
Cites: J Phys Act Health. 2011 Jan;8(1):36-44 PMID 21297183
Cites: Am J Epidemiol. 2010 Nov 15;172(10):1155-65 PMID 20843864
Cites: J Epidemiol Community Health. 2009 Apr;63(4):305-9 PMID 19074181
Cites: Diabetes. 2007 Nov;56(11):2655-67 PMID 17827399
Cites: J Aging Phys Act. 2008 Jan;16(1):3-13 PMID 18212390
Cites: Eur Urol. 2007 Sep;52(3):708-14 PMID 17174467
Cites: Age Ageing. 2013 Mar;42(2):222-9 PMID 23117467
Cites: J Epidemiol Community Health. 2012 May;66(5):474-6 PMID 21325149
Cites: Obes Res. 2004 Apr;12(4):688-94 PMID 15090638
Cites: Med Sci Sports Exerc. 2005 Nov;37(11 Suppl):S490-500 PMID 16294112
Cites: Sports Med. 2001 Feb;31(2):91-100 PMID 11227981
Cites: Sports Med. 2009;39(1):29-43 PMID 19093694
Cites: Med Sci Sports Exerc. 2006 Feb;38(2):367-72 PMID 16531908
Cites: Am J Epidemiol. 2010 May 15;171(10):1055-64 PMID 20406758
Cites: Int J Behav Nutr Phys Act. 2006 Aug 07;3:21 PMID 16893452
Cites: Health Place. 2007 Sep;13(3):588-602 PMID 16935020
Cites: J Aging Phys Act. 2014 Apr;22(2):226-34 PMID 23752449
Cites: Ann Behav Med. 2004 Dec;28(3):158-62 PMID 15576253
Cites: Am J Epidemiol. 1989 Jan;129(1):76-88 PMID 2910074
Cites: J Am Geriatr Soc. 1992 Sep;40(9):922-35 PMID 1512391
PubMed ID
29065475 View in PubMed
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Dependency and transfer incomes in idiopathic Parkinson's disease.

https://arctichealth.org/en/permalink/ahliterature263808
Source
Dan Med J. 2014 Oct;61(10):A4915
Publication Type
Article
Date
Oct-2014
Author
Charlotte Starhof
Niels Anker
Tove Henriksen
Christina Funch Lassen
Source
Dan Med J. 2014 Oct;61(10):A4915
Date
Oct-2014
Language
English
Publication Type
Article
Keywords
Adolescent
Adult
Aged
Aged, 80 and over
Denmark - epidemiology
Employment - statistics & numerical data
Female
Humans
Income - statistics & numerical data
Independent Living - statistics & numerical data
Male
Middle Aged
Nursing Homes - statistics & numerical data - utilization
Parkinson Disease - economics - epidemiology
Registries
Young Adult
Abstract
Idiopathic Parkinson's disease (IPD) is a progressive neurodegenerative disorder affecting approximately 1% of the population above 65 years of age. The aim of this study was to define the estimated Danish IPD population and to elucidate source of income and labour market affiliation for working-age IPD patients.
IPD cases were included through the Danish Register of Medicinal Product Statistics. The participants had to be alive by the end of 2010 and at least twice have cashed in prescriptions on IPD medication in the 2009-2010 period. Information on employment status and transfer income was retrieved through the DREAM database under the Danish Ministry of Employment.
A total of 7,033 estimated IPD patients were identified. The mean age at time of registration (2010, week 50) was 72 years. Overall, 7% of the IPD patients were employed and 5% were self-supportive. In the working age range (18-64 years), 25% were employed and 10% enrolled in supported employment. Compared with the age-adjusted general population, twice as many IPD patients were outside the ordinary labour market and, furthermore, the proportion receiving anticipatory pension was increased threefold. The majority (89%) of the patients were living at home with a spouse (59%). 11% were nursing home residents.
The working age IPD population was more prone to be outside employment and to receive public transfer income than an age-adjusted population sample.
The study was funded by the Danish Parkinson Association.
not relevant.
PubMed ID
25283617 View in PubMed
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Formal home help services and institutionalization.

https://arctichealth.org/en/permalink/ahliterature132916
Source
Arch Gerontol Geriatr. 2012 Mar-Apr;54(2):e52-6
Publication Type
Article
Author
Yukari Yamada
Volkert Siersma
Kirsten Avlund
Mikkel Vass
Author Affiliation
Section of Social Medicine, Department of Public Health, University of Copenhagen, Oester Farimagsgade 5, DK-1014, Copenhagen, Denmark. yuya@sund.ku.dk
Source
Arch Gerontol Geriatr. 2012 Mar-Apr;54(2):e52-6
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Aged - statistics & numerical data
Aged, 80 and over
Chi-Square Distribution
Denmark - epidemiology
Female
Home Care Services - statistics & numerical data
Housekeeping - statistics & numerical data
Humans
Independent Living - statistics & numerical data
Institutionalization - statistics & numerical data
Male
Proportional Hazards Models
Prospective Studies
Questionnaires
Risk factors
Abstract
The effect of home help services has been inconsistent. Raising the hypothesis that receiving small amounts of home help may postpone or prevent institutionalization, the aim of the present study is to analyze how light and heavy use of home help services was related to the risk for institutionalization. The study was a secondary analysis of a Danish intervention study on preventive home visits in 34 municipalities from 1999 to 2003, including 2642 home-dwelling older people who were nondisabled and did not receive public home help services at baseline in 1999 and who lived at home 18 months after baseline. Cox regression analysis showed that those who received home help services during the first 18 months after baseline were at higher risk of being institutionalized during the subsequent three years than those who did not receive such services. However, receiving home help for less than 1h per week during the first 18 months after baseline was not associated with an increased risk of institutionalization during the study period among those with physical or mental decline. Receiving public home help services was a strong indicator for institutionalization in Denmark. Receiving small amounts of home help and experiencing physical or mental decline was not associated with higher hazard for institutionalization compared with those who received no help.
PubMed ID
21764144 View in PubMed
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Impact of seizures on morbidity and mortality after stroke: a Canadian multi-centre cohort study.

https://arctichealth.org/en/permalink/ahliterature149085
Source
Eur J Neurol. 2010 Jan;17(1):52-8
Publication Type
Article
Date
Jan-2010
Author
J G Burneo
J. Fang
G. Saposnik
Author Affiliation
Epilepsy Programme, Department of Clinical Neurological Sciences, University of Western Ontario, London, Canada. jburneo2@uwo.ca
Source
Eur J Neurol. 2010 Jan;17(1):52-8
Date
Jan-2010
Language
English
Publication Type
Article
Keywords
Activities of Daily Living
Aged
Canada - epidemiology
Cohort Studies
Comorbidity
Disability Evaluation
Female
Humans
Independent Living - statistics & numerical data
Length of Stay
Male
Mortality
Outcome Assessment (Health Care)
Quality of Life
Seizures - diagnosis - mortality - therapy
Severity of Illness Index
Stroke - diagnosis - mortality - therapy
Abstract
Limited information is available about the impact of seizures on stroke outcome, health care delivery and resource utilization.
To determine whether the presence of seizures after stroke increases disability, mortality and health care utilization (length of hospital stay, ICU admission, consults, discharge to a long-term care facility).
This cohort study included consecutive patients with acute stroke between July 2003 and June 2005 from the Registry of the Canadian Stroke Network (RCSN), the largest clinical database of patients in Canada with acute stroke seen at selected acute care hospitals. We compared clinical characteristics and outcomes amongst patients experiencing stroke without and with seizures occurring during inpatient stay. Main outcome measures included: case-fatality, disability at discharge, length-of-stay, and discharge disposition. A logistic regression analysis was used to determine whether the presence of seizures was associated with poor stroke outcomes.
Amongst 5027 patients included in the study; seizures occurred in 138 (2.7%) patients with stroke. Patients with seizures had a higher mortality at 30-day (36.2% vs. 16.8%, P
PubMed ID
19686350 View in PubMed
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