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Excessive daytime sleepiness and falls among older men and women: cross-sectional examination of a population-based sample.

Identifieur interne : 001D79 ( Main/Exploration ); précédent : 001D78; suivant : 001D80

Excessive daytime sleepiness and falls among older men and women: cross-sectional examination of a population-based sample.

Auteurs : Amie C. Hayley [Australie] ; Lana J. Williams [Australie] ; Gerard A. Kennedy [Australie] ; Kara L. Holloway [Australie] ; Michael Berk [Australie] ; Sharon L. Brennan-Olsen [Australie] ; Julie A. Pasco [Australie]

Source :

RBID : pubmed:26141865

Descripteurs français

English descriptors

Abstract

BACKGROUND

Excessive daytime sleepiness (EDS) has been associated with an increased risk for falls among clinical samples of older adults. However, there is little detailed information among population-representative samples. The current study aimed to assess the relationship between EDS and falls among a cohort of population-based older adults.

METHODS

This study assessed 367 women aged 60-93 years (median 72, interquartile range 65-79) and 451 men aged 60-92 years (median 73, interquartile range 66-80) who participated in the Geelong Osteoporosis Study between the years 2001 and 2008. Falls during the prior year were documented via self-report, and for men, falls risk score was obtained using an Elderly Fall Screening Test (EFST). Sleepiness was assessed using the Epworth Sleepiness Scale (ESS), and scores of  ≥ 10 indicated EDS. Differences among those with and without EDS in regard to falls were tested using logistic regression models.

RESULTS

Among women, 50 (13.6%) individuals reported EDS. Women with EDS were more likely to report a fall, and were more likely to report the fall occurring outside. EDS was similarly associated with an increased risk of a fall following adjustment for use of a walking aid, cases of nocturia and antidepressant medication use (adjusted OR = 2.54, 95% CI 1.24-5.21). Multivariate modelling revealed antidepressant use (current) as an effect modifier (p < .001 for the interaction term). After stratifying the data by antidepressant medication use, the association between EDS and falls was sustained following adjustment for nocturia among antidepressant non-users (adjusted OR = 2.63, 95% CI 1.31-5.30). Among men, 72 (16.0%) individuals reported EDS. No differences were detected for men with and without EDS in regard to reported falls, and a trend towards significance was noted between EDS and a high falls risk as assessed by the EFST (p = 0.06), however, age explained this relationship (age adjusted OR = 2.20, 95% CI 1.03-1.10).

CONCLUSIONS

For women, EDS is independently associated with at least one fall during the previous year, and this is more likely to occur whilst located outside. Amelioration of EDS may assist in improving functional outcomes among these individuals by reducing the risk for falls.


DOI: 10.1186/s12877-015-0068-2
PubMed: 26141865
PubMed Central: PMC4491238


Affiliations:


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Le document en format XML

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<name sortKey="Brennan Olsen, Sharon L" sort="Brennan Olsen, Sharon L" uniqKey="Brennan Olsen S" first="Sharon L" last="Brennan-Olsen">Sharon L. Brennan-Olsen</name>
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<term>Accidental Falls (prevention & control)</term>
<term>Accidental Falls (statistics & numerical data)</term>
<term>Age Factors (MeSH)</term>
<term>Aged (MeSH)</term>
<term>Aged, 80 and over (MeSH)</term>
<term>Anthropometry (methods)</term>
<term>Australia (epidemiology)</term>
<term>Cross-Sectional Studies (MeSH)</term>
<term>Disorders of Excessive Somnolence (complications)</term>
<term>Disorders of Excessive Somnolence (diagnosis)</term>
<term>Disorders of Excessive Somnolence (epidemiology)</term>
<term>Disorders of Excessive Somnolence (psychology)</term>
<term>Female (MeSH)</term>
<term>Geriatric Assessment (methods)</term>
<term>Health Status Disparities (MeSH)</term>
<term>Humans (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Life Style (MeSH)</term>
<term>Male (MeSH)</term>
<term>Middle Aged (MeSH)</term>
<term>Psychometrics (methods)</term>
<term>Risk Factors (MeSH)</term>
<term>Self Report (MeSH)</term>
<term>Statistics as Topic (MeSH)</term>
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<term>Adulte d'âge moyen (MeSH)</term>
<term>Anthropométrie (méthodes)</term>
<term>Australie (épidémiologie)</term>
<term>Autorapport (MeSH)</term>
<term>Chutes accidentelles (prévention et contrôle)</term>
<term>Chutes accidentelles (statistiques et données numériques)</term>
<term>Disparités de l'état de santé (MeSH)</term>
<term>Facteurs de risque (MeSH)</term>
<term>Facteurs âges (MeSH)</term>
<term>Femelle (MeSH)</term>
<term>Humains (MeSH)</term>
<term>Incidence (MeSH)</term>
<term>Mode de vie (MeSH)</term>
<term>Mâle (MeSH)</term>
<term>Psychométrie (méthodes)</term>
<term>Statistiques comme sujet (MeSH)</term>
<term>Sujet âgé (MeSH)</term>
<term>Sujet âgé de 80 ans ou plus (MeSH)</term>
<term>Troubles du sommeil par somnolence excessive (complications)</term>
<term>Troubles du sommeil par somnolence excessive (diagnostic)</term>
<term>Troubles du sommeil par somnolence excessive (psychologie)</term>
<term>Troubles du sommeil par somnolence excessive (épidémiologie)</term>
<term>Études transversales (MeSH)</term>
<term>Évaluation gériatrique (méthodes)</term>
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<term>Disorders of Excessive Somnolence</term>
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<term>Disorders of Excessive Somnolence</term>
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<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr">
<term>Troubles du sommeil par somnolence excessive</term>
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<term>Australia</term>
<term>Disorders of Excessive Somnolence</term>
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<term>Anthropometry</term>
<term>Geriatric Assessment</term>
<term>Psychometrics</term>
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<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr">
<term>Anthropométrie</term>
<term>Psychométrie</term>
<term>Évaluation gériatrique</term>
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<term>Accidental Falls</term>
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<term>Chutes accidentelles</term>
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<term>Troubles du sommeil par somnolence excessive</term>
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<keywords scheme="MESH" qualifier="psychology" xml:lang="en">
<term>Disorders of Excessive Somnolence</term>
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<term>Accidental Falls</term>
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<term>Chutes accidentelles</term>
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<term>Australie</term>
<term>Troubles du sommeil par somnolence excessive</term>
</keywords>
<keywords scheme="MESH" xml:lang="en">
<term>Age Factors</term>
<term>Aged</term>
<term>Aged, 80 and over</term>
<term>Cross-Sectional Studies</term>
<term>Female</term>
<term>Health Status Disparities</term>
<term>Humans</term>
<term>Incidence</term>
<term>Life Style</term>
<term>Male</term>
<term>Middle Aged</term>
<term>Risk Factors</term>
<term>Self Report</term>
<term>Statistics as Topic</term>
</keywords>
<keywords scheme="MESH" qualifier="complications" xml:lang="fr">
<term>Adulte d'âge moyen</term>
<term>Autorapport</term>
<term>Disparités de l'état de santé</term>
<term>Facteurs de risque</term>
<term>Facteurs âges</term>
<term>Femelle</term>
<term>Humains</term>
<term>Incidence</term>
<term>Mode de vie</term>
<term>Mâle</term>
<term>Statistiques comme sujet</term>
<term>Sujet âgé</term>
<term>Sujet âgé de 80 ans ou plus</term>
<term>Troubles du sommeil par somnolence excessive</term>
<term>Études transversales</term>
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<front>
<div type="abstract" xml:lang="en">
<p>
<b>BACKGROUND</b>
</p>
<p>Excessive daytime sleepiness (EDS) has been associated with an increased risk for falls among clinical samples of older adults. However, there is little detailed information among population-representative samples. The current study aimed to assess the relationship between EDS and falls among a cohort of population-based older adults.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>METHODS</b>
</p>
<p>This study assessed 367 women aged 60-93 years (median 72, interquartile range 65-79) and 451 men aged 60-92 years (median 73, interquartile range 66-80) who participated in the Geelong Osteoporosis Study between the years 2001 and 2008. Falls during the prior year were documented via self-report, and for men, falls risk score was obtained using an Elderly Fall Screening Test (EFST). Sleepiness was assessed using the Epworth Sleepiness Scale (ESS), and scores of  ≥ 10 indicated EDS. Differences among those with and without EDS in regard to falls were tested using logistic regression models.</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>RESULTS</b>
</p>
<p>Among women, 50 (13.6%) individuals reported EDS. Women with EDS were more likely to report a fall, and were more likely to report the fall occurring outside. EDS was similarly associated with an increased risk of a fall following adjustment for use of a walking aid, cases of nocturia and antidepressant medication use (adjusted OR = 2.54, 95% CI 1.24-5.21). Multivariate modelling revealed antidepressant use (current) as an effect modifier (p < .001 for the interaction term). After stratifying the data by antidepressant medication use, the association between EDS and falls was sustained following adjustment for nocturia among antidepressant non-users (adjusted OR = 2.63, 95% CI 1.31-5.30). Among men, 72 (16.0%) individuals reported EDS. No differences were detected for men with and without EDS in regard to reported falls, and a trend towards significance was noted between EDS and a high falls risk as assessed by the EFST (p = 0.06), however, age explained this relationship (age adjusted OR = 2.20, 95% CI 1.03-1.10).</p>
</div>
<div type="abstract" xml:lang="en">
<p>
<b>CONCLUSIONS</b>
</p>
<p>For women, EDS is independently associated with at least one fall during the previous year, and this is more likely to occur whilst located outside. Amelioration of EDS may assist in improving functional outcomes among these individuals by reducing the risk for falls.</p>
</div>
</front>
</TEI>
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<Year>2016</Year>
<Month>01</Month>
<Day>25</Day>
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<DateRevised>
<Year>2019</Year>
<Month>03</Month>
<Day>18</Day>
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<ISSN IssnType="Electronic">1471-2318</ISSN>
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<Volume>15</Volume>
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<Year>2015</Year>
<Month>Jul</Month>
<Day>05</Day>
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<Title>BMC geriatrics</Title>
<ISOAbbreviation>BMC Geriatr</ISOAbbreviation>
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<ArticleTitle>Excessive daytime sleepiness and falls among older men and women: cross-sectional examination of a population-based sample.</ArticleTitle>
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<Abstract>
<AbstractText Label="BACKGROUND" NlmCategory="BACKGROUND">Excessive daytime sleepiness (EDS) has been associated with an increased risk for falls among clinical samples of older adults. However, there is little detailed information among population-representative samples. The current study aimed to assess the relationship between EDS and falls among a cohort of population-based older adults.</AbstractText>
<AbstractText Label="METHODS" NlmCategory="METHODS">This study assessed 367 women aged 60-93 years (median 72, interquartile range 65-79) and 451 men aged 60-92 years (median 73, interquartile range 66-80) who participated in the Geelong Osteoporosis Study between the years 2001 and 2008. Falls during the prior year were documented via self-report, and for men, falls risk score was obtained using an Elderly Fall Screening Test (EFST). Sleepiness was assessed using the Epworth Sleepiness Scale (ESS), and scores of  ≥ 10 indicated EDS. Differences among those with and without EDS in regard to falls were tested using logistic regression models.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Among women, 50 (13.6%) individuals reported EDS. Women with EDS were more likely to report a fall, and were more likely to report the fall occurring outside. EDS was similarly associated with an increased risk of a fall following adjustment for use of a walking aid, cases of nocturia and antidepressant medication use (adjusted OR = 2.54, 95% CI 1.24-5.21). Multivariate modelling revealed antidepressant use (current) as an effect modifier (p < .001 for the interaction term). After stratifying the data by antidepressant medication use, the association between EDS and falls was sustained following adjustment for nocturia among antidepressant non-users (adjusted OR = 2.63, 95% CI 1.31-5.30). Among men, 72 (16.0%) individuals reported EDS. No differences were detected for men with and without EDS in regard to reported falls, and a trend towards significance was noted between EDS and a high falls risk as assessed by the EFST (p = 0.06), however, age explained this relationship (age adjusted OR = 2.20, 95% CI 1.03-1.10).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">For women, EDS is independently associated with at least one fall during the previous year, and this is more likely to occur whilst located outside. Amelioration of EDS may assist in improving functional outcomes among these individuals by reducing the risk for falls.</AbstractText>
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<LastName>Hayley</LastName>
<ForeName>Amie C</ForeName>
<Initials>AC</Initials>
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<Affiliation>IMPACT SRC, School of Medicine, Deakin University, Barwon Health, PO Box 281, Geelong, Australia. achayley@deakin.edu.au.</Affiliation>
</AffiliationInfo>
<AffiliationInfo>
<Affiliation>Centre for Human Psychopharmacology, Swinburne University of Technology, Hawthorn, Australia. achayley@deakin.edu.au.</Affiliation>
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<AffiliationInfo>
<Affiliation>Institute for Breathing and Sleep, Bowen Centre, Austin Health, PO Box 5555, Heidelberg, Melbourne, Australia. gerard.kennedy@cairnmillar.org.au.</Affiliation>
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<Affiliation>Department of Psychiatry, The University of Melbourne, Level 1 North, Main Block, Royal Melbourne Hospital, Parkville, Australia. mikeb@barwonhealth.org.au.</Affiliation>
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<Affiliation>Orygen, the National Centre of Excellence for Youth Mental Health, 35 Poplar Rd, Parkville, Melbourne, Australia. mikeb@barwonhealth.org.au.</Affiliation>
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<AffiliationInfo>
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<AffiliationInfo>
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<ArticleId IdType="pubmed">18035227</ArticleId>
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<Citation>Sleep. 2008 May;31(5):635-43</Citation>
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<Reference>
<Citation>Pharmacoepidemiol Drug Saf. 2011 May;20(5):514-22</Citation>
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