File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: Correlates of Sleep Disturbance among Older Adults with Mild Cognitive Impairment: A Cross-Sectional Study

TitleCorrelates of Sleep Disturbance among Older Adults with Mild Cognitive Impairment: A Cross-Sectional Study
Authors
Keywordscross-sectional study
correlates
mild cognitive impairment
sleep
Issue Date2020
PublisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijerph
Citation
International Journal of Environmental Research and Public Health, 2020, v. 17 n. 13, p. article no. 4862 How to Cite?
AbstractIndividuals with mild cognitive impairment (MCI) are at high risk for dementia development. Sleep disturbance is often overlooked in MCI, although it is an important risk factor of cognitive decline. In the absence of a cure for dementia, managing the risk factors of cognitive decline in MCI is likely to delay disease progression. To develop interventions for sleep disturbance in MCI, its related factors should be explored. This study aimed to identify and compare the correlates of sleep disturbance in older adults with MCI and those in cognitively healthy older adults. A comparative cross-sectional study was adopted. Data were obtained from 219 Chinese community-dwelling older adults (female: 70.3%), which consisted of 127 older adults with MCI and 92 age-matched cognitively healthy controls. The candidate correlates of sleep disturbance included socio-demographic correlates, health-related factors, lifestyle-related factors and psychological factor. Descriptive, correlational and regression statistics were used for data analysis. The prevalence of sleep disturbance in MCI was 70.1% compared to that of 56.5% in cognitively healthy controls (p < 0.001). The multivariate analysis indicated that, in participants with MCI, depressive symptoms (Beta = 0.297, p = 0.001), comorbidity burden (Beta = 0.215, p = 0.012) and physical activity (Beta = −0.297, p = 0.001) were associated with sleep disturbance. However, in the cognitively healthy controls, only depressive symptoms (Beta = 0.264, p = 0.028) and comorbidity burden (Beta = 0.361, p = 0.002) were associated with sleep disturbance. This finding highlights that sleep disturbance is sufficiently prominent to warrant evaluation and management in older adults with MCI. Furthermore, the findings elucidate several important areas to target in interventions aimed at promoting sleep in individuals with MCI.
Persistent Identifierhttp://hdl.handle.net/10722/290224
ISSN
2019 Impact Factor: 2.849
2023 SCImago Journal Rankings: 0.808
PubMed Central ID
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSong, D-
dc.contributor.authorYu, DSF-
dc.contributor.authorDun, Q-
dc.contributor.authorHe, G-
dc.date.accessioned2020-10-22T08:23:46Z-
dc.date.available2020-10-22T08:23:46Z-
dc.date.issued2020-
dc.identifier.citationInternational Journal of Environmental Research and Public Health, 2020, v. 17 n. 13, p. article no. 4862-
dc.identifier.issn1661-7827-
dc.identifier.urihttp://hdl.handle.net/10722/290224-
dc.description.abstractIndividuals with mild cognitive impairment (MCI) are at high risk for dementia development. Sleep disturbance is often overlooked in MCI, although it is an important risk factor of cognitive decline. In the absence of a cure for dementia, managing the risk factors of cognitive decline in MCI is likely to delay disease progression. To develop interventions for sleep disturbance in MCI, its related factors should be explored. This study aimed to identify and compare the correlates of sleep disturbance in older adults with MCI and those in cognitively healthy older adults. A comparative cross-sectional study was adopted. Data were obtained from 219 Chinese community-dwelling older adults (female: 70.3%), which consisted of 127 older adults with MCI and 92 age-matched cognitively healthy controls. The candidate correlates of sleep disturbance included socio-demographic correlates, health-related factors, lifestyle-related factors and psychological factor. Descriptive, correlational and regression statistics were used for data analysis. The prevalence of sleep disturbance in MCI was 70.1% compared to that of 56.5% in cognitively healthy controls (p < 0.001). The multivariate analysis indicated that, in participants with MCI, depressive symptoms (Beta = 0.297, p = 0.001), comorbidity burden (Beta = 0.215, p = 0.012) and physical activity (Beta = −0.297, p = 0.001) were associated with sleep disturbance. However, in the cognitively healthy controls, only depressive symptoms (Beta = 0.264, p = 0.028) and comorbidity burden (Beta = 0.361, p = 0.002) were associated with sleep disturbance. This finding highlights that sleep disturbance is sufficiently prominent to warrant evaluation and management in older adults with MCI. Furthermore, the findings elucidate several important areas to target in interventions aimed at promoting sleep in individuals with MCI.-
dc.languageeng-
dc.publisherMolecular Diversity Preservation International. The Journal's web site is located at http://www.mdpi.org/ijerph-
dc.relation.ispartofInternational Journal of Environmental Research and Public Health-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectcross-sectional study-
dc.subjectcorrelates-
dc.subjectmild cognitive impairment-
dc.subjectsleep-
dc.titleCorrelates of Sleep Disturbance among Older Adults with Mild Cognitive Impairment: A Cross-Sectional Study-
dc.typeArticle-
dc.identifier.emailYu, DSF: dyu1@hku.hk-
dc.identifier.authorityYu, DSF=rp02647-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.3390/ijerph17134862-
dc.identifier.pmid32640633-
dc.identifier.pmcidPMC7369813-
dc.identifier.scopuseid_2-s2.0-85087640854-
dc.identifier.hkuros317130-
dc.identifier.volume17-
dc.identifier.issue13-
dc.identifier.spagearticle no. 4862-
dc.identifier.epagearticle no. 4862-
dc.identifier.isiWOS:000550277600001-
dc.publisher.placeSwitzerland-
dc.identifier.issnl1660-4601-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats