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Clinical characteristics and mortality risk in relation to obstructive and central sleep apnoea in community-dwelling elderly individuals: a 7-year follow-up.

https://arctichealth.org/en/permalink/ahliterature125918
Source
Age Ageing. 2012 Jul;41(4):468-74
Publication Type
Article
Date
Jul-2012
Author
Peter Johansson
Urban Alehagen
Eva Svanborg
Ulf Dahlström
Anders Broström
Author Affiliation
Department of Cardiology, Linkoping University Hospital, Linkoping, Sweden. peter.johansson@aries.vokby.se
Source
Age Ageing. 2012 Jul;41(4):468-74
Date
Jul-2012
Language
English
Publication Type
Article
Keywords
Age Factors
Aged
Aged, 80 and over
Aging
Cardiovascular Diseases - mortality - physiopathology
Cause of Death
Comorbidity
Female
Follow-Up Studies
Humans
Independent living
Kaplan-Meier Estimate
Male
Proportional Hazards Models
Risk assessment
Risk factors
Sleep
Sleep Apnea, Central - mortality - physiopathology
Sleep Apnea, Obstructive - mortality - physiopathology
Stroke Volume
Sweden - epidemiology
Systole
Time Factors
Ventricular Function, Left
Abstract
little is known about demographic and clinical characteristics associated with sleep-disordered breathing (SDB) and obstructive sleep apnoea (OSA) or central sleep apnoea (CSA) in community-dwelling elderly. We also examined these (OSA and CSA) associations to all-cause and cardiovascular (CV) mortality.
a total of 331 community-dwelling elderly aged 71-87 years underwent a clinical examination and one-night polygraphic recordings in their homes. Mortality data were collected after seven years.
a total of 55% had SDB, 38% had OSA and 17% had CSA. Compared with those with no SDB and OSA, more participants with CSA had a left ventricular ejection fraction 75 years does not appear to be associated with cardiovascular disease (CVD) disease or mortality, whereas CSA might be a pathological marker of CVD and impaired systolic function associated with higher mortality.
PubMed ID
22440587 View in PubMed
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[Medication use among community-dwelling older Icelanders. Population-based study in urban and rural areas].

https://arctichealth.org/en/permalink/ahliterature129175
Source
Laeknabladid. 2011 Dec;97(12):675-80
Publication Type
Article
Date
Dec-2011
Author
Arun K Sigurdardottir
Solveig Asa Arnadottir
Elín Díanna Gunnarsdottir
Author Affiliation
arun@unak.is
Source
Laeknabladid. 2011 Dec;97(12):675-80
Date
Dec-2011
Language
Icelandic
Geographic Location
Iceland
Publication Type
Article
Keywords
Age Factors
Aged
Aged, 80 and over
Cross-Sectional Studies
Drug Therapy - statistics & numerical data
Female
Health Behavior
Health Care Surveys
Health Knowledge, Attitudes, Practice
Humans
Iceland
Independent Living - statistics & numerical data
Male
Polypharmacy
Prescription Drugs - therapeutic use
Questionnaires
Registries
Rural Population - statistics & numerical data
Sex Factors
Urban Population - statistics & numerical data
Abstract
To describe medication use among older community-dwelling Icelanders by collecting information on number of medicine, polypharmacy (>5 medications), and medications by ATC categories. Moreover, to explore the relationship between medication use and various influential factors emphasizing residency in urban and rural areas.
Population-based, cross-sectional study. Participants were randomly selected from the National registry in one urban (n=118) and two rural (n=68) areas.
1) = 65 years old, 2) community-dwelling, 3) able to communicate verbally. Information on medication use was obtained from each person's medication list and interviews. A questionnaire and five standardized instruments were used to assess the potential influencing factors.
On average, participants used 3.9 medications and prevalence of polypharmacy was 41%. Men used 3.5 medications on average and women 4.4 (p=0.018). Compared to rural residents, urban residents had fewer medical diagnoses, better mobility, less pain, and fewer depressive symptoms. By controlling for the effects of these variables, more medications were associated with urban living (p
PubMed ID
22133526 View in PubMed
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Sex-specific associations between self-reported sleep duration, depression, anxiety, fatigue and daytime sleepiness in an older community-dwelling population.

https://arctichealth.org/en/permalink/ahliterature295075
Source
Scand J Caring Sci. 2018 Mar; 32(1):290-298
Publication Type
Comparative Study
Journal Article
Date
Mar-2018
Author
Anders Broström
Åke Wahlin
Urban Alehagen
Martin Ulander
Peter Johansson
Author Affiliation
Department of Clinical Neurophysiology, University Hospital, Linköping, Sweden.
Source
Scand J Caring Sci. 2018 Mar; 32(1):290-298
Date
Mar-2018
Language
English
Publication Type
Comparative Study
Journal Article
Keywords
Age Factors
Aged
Aged, 80 and over
Anxiety Disorders - etiology
Cross-Sectional Studies
Depressive Disorder - etiology
Fatigue - etiology
Female
Humans
Independent Living - statistics & numerical data
Male
Rural Population - statistics & numerical data
Self Report
Sex Factors
Sleep Wake Disorders - complications
Surveys and Questionnaires
Sweden
Abstract
The purpose of this study was to explore whether associations between self-reported sleep duration, depressive symptoms, anxiety, fatigue and daytime sleepiness differed in older community-dwelling men and women.
Cross-sectional.
A community-dwelling sample of 675 older men and women (mean age 77.7 years, SD 3.8 years) was used. All participants underwent a clinical examination by a cardiologist. Validated questionnaires were used to investigate sleep duration, depressive symptoms, anxiety, fatigue and daytime sleepiness. Subjects were divided into short sleepers (=6 hours), n = 231; normal sleepers (7-8 hours), n = 338; and long sleepers (=9 hours), n = 61. ancovas were used to explore sex-specific effects.
Depressive symptoms were associated with short sleep in men, but not in women. Fatigue was associated with both short and long sleep duration in men. No sex-specific associations of sleep duration with daytime sleepiness or anxiety were found.
Nurses investigating sleep duration and its correlates, or effects, in clinical practice need to take sex into account, as some associations may be sex specific. Depressive symptoms and fatigue can be used as indicators to identify older men with sleep complaints.
PubMed ID
28574585 View in PubMed
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Socioeconomic status and differences in medication use among older people according to ATC categories and urban-rural residency.

https://arctichealth.org/en/permalink/ahliterature116344
Source
Scand J Public Health. 2013 May;41(3):311-7
Publication Type
Article
Date
May-2013
Author
Arun K Sigurdardottir
Solveig A Arnadottir
Elin Dianna Gunnarsdottir
Author Affiliation
University of Akureyri, Solborg, Nordurslod, Akureyri, Iceland. arun@unak.is
Source
Scand J Public Health. 2013 May;41(3):311-7
Date
May-2013
Language
English
Publication Type
Article
Keywords
Aged
Aged, 80 and over
Cross-Sectional Studies
Female
Humans
Iceland
Independent living
Male
Pharmaceutical Preparations - classification
Polypharmacy
Qualitative Research
Risk factors
Rural Population - statistics & numerical data
Social Class
Urban Population - statistics & numerical data
Abstract
To study how selected indicators of socioeconomic status and urban-rural residency associate with medication use in form of number of daily medications, polypharmacy, and medication use according to Anatomic Therapeutic Classification (ATC) system.
Cross-sectional, population-based study among older community-dwelling Icelanders. Criteria for participation were: age =65 years, community-dwelling, and able to communicate verbally and to set up a time for a face-to-face interview. Information on medication use was obtained by interviews and by examining each person's medication record. Medications were categorised according to ATC system. A questionnaire and the physical and mental health summary scales of SF-36 Health Survey were used to assess potential influential factors associated with medication use.
On average, participants (n=186) used 3.9 medications, and the prevalence of polypharmacy was 41%. No indicators of socioeconomic status had significant association to any aspects of medication use. Compared to urban residents, rural residents had more diagnosed diseases, were less likely to live alone, were less likely to report having adequate income, and had fewer years of education. Controlling for these differences, urban people were more likely to use medication from the B and C categories. Moreover, older urban men, with worse physical health, and greater number of diagnosed diseases used more medications from the B category.
There are unexplained regional differences in medications use, from categories B and C, by older Icelanders. Further studies are needed on why urban residents used equal number of medications, or even more medications, compared to rural residents, despite better socioeconomic status and fewer diagnosed diseases.
PubMed ID
23406652 View in PubMed
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