Cross-Sectional Study of Sleep Quantity and Quality and Amnestic and Non-Amnestic Cognitive Function in an Ageing Population: The English Longitudinal Study of Ageing (ELSA)
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{"title"=>"Cross-sectional study of sleep quantity and quality and amnestic and non-amnestic cognitive function in an ageing population: The English Longitudinal Study of Ageing (ELSA)", "type"=>"journal", "authors"=>[{"first_name"=>"Michelle A.", "last_name"=>"Miller", "scopus_author_id"=>"55574186619"}, {"first_name"=>"Hayley", "last_name"=>"Wright", "scopus_author_id"=>"24172082100"}, {"first_name"=>"Chen", "last_name"=>"Ji", "scopus_author_id"=>"27168791700"}, {"first_name"=>"Francesco P.", "last_name"=>"Cappuccio", "scopus_author_id"=>"56038296500"}], "year"=>2014, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84903378645", "doi"=>"10.1371/journal.pone.0100991", "pui"=>"373399449", "pmid"=>"24968354", "scopus"=>"2-s2.0-84903378645", "issn"=>"19326203", "isbn"=>"1932-6203"}, "id"=>"0f018549-3083-3033-b0a0-6b8736c27033", "abstract"=>"BACKGROUND: The aim was to investigate the association between sleep disturbances and cognitive function in younger and older individuals from an ageing population.\\n\\nMETHODS: 3,968 male and 4,821 female white participants, aged 50 years and over, from the English Longitudinal Study of Ageing (ELSA) were studied. Information on sleep quality and quantity as well as both amnestic (memory, ACF) and non-amnestic (non-memory, nACF) function was available at Wave 4 (2008). Analysis of covariance was used to evaluate the relationship between sleep and cognitive function.\\n\\nRESULTS: After adjustment for multiple confounders in the younger group (50-64 years) duration of sleep explained 15.2% of the variance in ACF (p = 0.003) and 20.6% of nACF (p = 0.010). In the older group (65+ years) the estimates were 21.3% (p<0.001) and 25.6% (p<0.001), respectively. For sleep quality, there was a statistically significant association between sleep quality and both ACF (p<0.001) and nACF (p<0.001) in the older age group, but not in the younger age group (p = 0.586 and p = 0.373, respectively; interaction between age and sleep quality in the study sample including both age groups: p<0.001 for ACF and p = 0.018 for nACF). Sleep quality explained between 15.1% and 25.5% of the variance in cognition. The interaction with age was independent of duration of sleep. At any level of sleep duration there was a steeper association between sleep quality and ACF in the older than the younger group.\\n\\nCONCLUSIONS: The associations between sleep disturbances and cognitive function vary between younger and older adults. Prospective studies will determine the temporal relationships between sleep disturbances and changes in cognition in different age groups.", "link"=>"http://www.mendeley.com/research/crosssectional-study-sleep-quantity-quality-amnestic-nonamnestic-cognitive-function-ageing-populatio", "reader_count"=>39, "reader_count_by_academic_status"=>{"Researcher"=>10, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Student > Master"=>9, "Other"=>3, "Student > Bachelor"=>4, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>10, "Student > Doctoral Student"=>3, "Student > Ph. D. Student"=>4, "Student > Postgraduate"=>5, "Student > Master"=>9, "Other"=>3, "Student > Bachelor"=>4, "Lecturer > Senior Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>1, "Nursing and Health Professions"=>3, "Medicine and Dentistry"=>7, "Agricultural and Biological Sciences"=>5, "Neuroscience"=>4, "Psychology"=>13, "Social Sciences"=>4, "Computer Science"=>1, "Economics, Econometrics and Finance"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>7}, "Neuroscience"=>{"Neuroscience"=>4}, "Social Sciences"=>{"Social Sciences"=>4}, "Psychology"=>{"Psychology"=>13}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>5}, "Computer Science"=>{"Computer Science"=>1}, "Nursing and Health Professions"=>{"Nursing and Health Professions"=>3}, "Unspecified"=>{"Unspecified"=>1}}, "reader_count_by_country"=>{"Australia"=>1, "Germany"=>1}, "group_count"=>3}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/1569007"], "description"=>"<p>Mean amnestic and non-amnestic T scores by sleep quality categories for the younger and older age groups.</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation", "amnestic", "non-amnestic", "scores", "categories", "younger", "older"], "article_id"=>1085869, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.t004", "stats"=>{"downloads"=>8, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_amnestic_and_non_amnestic_T_scores_by_sleep_quality_categories_for_the_younger_and_older_age_groups_/1085869", "title"=>"Mean amnestic and non-amnestic T scores by sleep quality categories for the younger and older age groups.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1569006"], "description"=>"<p>Adjusted mean non-amnestic T Score by sleep quantity categories, per sleep quality tertile, in younger and older age groups.</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation", "non-amnestic", "scores", "categories", "adjusted"], "article_id"=>1085868, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.g004", "stats"=>{"downloads"=>2, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Mean_non_amnestic_T_scores_by_sleep_categories_adjusted_for_sleep_quality_/1085868", "title"=>"Mean non-amnestic T scores by sleep categories adjusted for sleep quality.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1568987"], "description"=>"<p>Fully adjusted mean T scores for amnestic and non-amnestic cognition scores for each sleep quality tertile, in younger and older age groups. Adjusted for age, sex, sleep*age, education, employment grade, depression, physical activity, smoking, general health (Model 3).</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation", "scores"], "article_id"=>1085862, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.g002", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cognitive_function_scores_by_sleep_quality_/1085862", "title"=>"Cognitive function scores by sleep quality.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1569014"], "description"=>"<div><p>Background</p><p>The aim was to investigate the association between sleep disturbances and cognitive function in younger and older individuals from an ageing population.</p><p>Methods</p><p>3,968 male and 4,821 female white participants, aged 50 years and over, from the English Longitudinal Study of Ageing (ELSA) were studied. Information on sleep quality and quantity as well as both amnestic (memory, ACF) and non-amnestic (non-memory, nACF) function was available at Wave 4 (2008). Analysis of covariance was used to evaluate the relationship between sleep and cognitive function.</p><p>Results</p><p>After adjustment for multiple confounders in the younger group (50–64 years) duration of sleep explained 15.2% of the variance in ACF (<i>p</i> = 0.003) and 20.6% of nACF (<i>p</i> = 0.010). In the older group (65+ years) the estimates were 21.3% (<i>p</i><0.001) and 25.6% (<i>p</i><0.001), respectively. For sleep quality, there was a statistically significant association between sleep quality and both ACF (<i>p</i><0.001) and nACF (<i>p</i><0.001) in the older age group, but not in the younger age group (<i>p</i> = 0.586 and <i>p</i> = 0.373, respectively; interaction between age and sleep quality in the study sample including both age groups: <i>p</i><0.001 for ACF and <i>p</i> = 0.018 for nACF). Sleep quality explained between 15.1% and 25.5% of the variance in cognition. The interaction with age was independent of duration of sleep. At any level of sleep duration there was a steeper association between sleep quality and ACF in the older than the younger group.</p><p>Conclusions</p><p>The associations between sleep disturbances and cognitive function vary between younger and older adults. Prospective studies will determine the temporal relationships between sleep disturbances and changes in cognition in different age groups.</p></div>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation", "amnestic", "non-amnestic", "ageing", "english", "longitudinal"], "article_id"=>1085876, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cross_Sectional_Study_of_Sleep_Quantity_and_Quality_and_Amnestic_and_Non_Amnestic_Cognitive_Function_in_an_Ageing_Population_The_English_Longitudinal_Study_of_Ageing_ELSA_/1085876", "title"=>"Cross-Sectional Study of Sleep Quantity and Quality and Amnestic and Non-Amnestic Cognitive Function in an Ageing Population: The English Longitudinal Study of Ageing (ELSA)", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1569011"], "description"=>"1<p>Total sleep quality score divided into tertiles. 1<sup>st</sup> tertile = least disturbance; 3<sup>rd</sup> tertile = most disturbance. See Methods for further details.</p>2<p>Results expressed as mean (sd) or %.</p>3<p>ANOVA for continuous data, chi-square for categorical data (where <i>p</i> value represents differences between all categories).</p>4<p>See Methods section for description of variables.</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation"], "article_id"=>1085873, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.t002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_study_population_by_sleep_QUALITY_1_tertiles_/1085873", "title"=>"Characteristics of study population by sleep QUALITY<sup>1</sup> tertiles.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1568984"], "description"=>"<p>Fully adjusted mean T scores for amnestic and non-amnestic cognition scores for each sleep quantity category, in younger and older age groups. Adjusted for age, sex, sleep*age, education, employment grade, depression, physical activity, smoking, general health (Model 3).</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation", "scores"], "article_id"=>1085858, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.g001", "stats"=>{"downloads"=>2, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Cognitive_function_scores_by_sleep_quantity_/1085858", "title"=>"Cognitive function scores by sleep quantity.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2014-06-26 03:28:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/1569009"], "description"=>"1<p>Results expressed as mean (sd) or %.</p>2<p>ANOVA for continuous data, chi-square for categorical data (where <i>p</i> value represents differences between all categories).</p>3<p>See Methods section for description of variables.</p>", "links"=>[], "tags"=>["neuroscience", "cognitive science", "cognition", "memory", "Learning and memory", "epidemiology", "Biomarker epidemiology", "Clinical epidemiology", "Epidemiology of aging", "Lifecourse epidemiology", "neurology", "Sleep deprivation"], "article_id"=>1085871, "categories"=>["Biological Sciences"], "users"=>["Michelle A. Miller", "Hayley Wright", "Chen Ji", "Francesco P. Cappuccio"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0100991.t001", "stats"=>{"downloads"=>0, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Characteristics_of_study_population_by_sleep_QUANTITY_categories_/1085871", "title"=>"Characteristics of study population by sleep QUANTITY categories.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2014-06-26 03:28:40"}
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Relative Metric

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