Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions
Abstract Background Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dement...
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| Veröffentlicht in: | Alzheimer's & dementia 2015-06, Vol.11 (6), p.622-638 |
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| container_title | Alzheimer's & dementia |
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| creator | Bell, Janice F Fitzpatrick, Annette L Copeland, Catherine Chi, Gloria Steinman, Lesley Whitney, Robin L Atkins, David C Bryant, Lucinda L Grodstein, Francine Larson, Eric Logsdon, Rebecca Snowden, Mark |
| description | Abstract Background Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities. Results 117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries. Conclusions Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs. |
| doi_str_mv | 10.1016/j.jalz.2014.07.002 |
| format | Article |
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To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities. Results 117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries. Conclusions Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs.</description><identifier>ISSN: 1552-5260</identifier><identifier>EISSN: 1552-5279</identifier><identifier>DOI: 10.1016/j.jalz.2014.07.002</identifier><identifier>PMID: 25200335</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Chronic conditions ; Chronic Disease ; Cognition Disorders - epidemiology ; Cognitive impairment ; Comorbidity ; Data Interpretation, Statistical ; Datasets as Topic ; Dementia ; Dementia - epidemiology ; Europe - epidemiology ; Humans ; Internet ; Multiple ; Neurology ; Public health ; Secondary Data analysis ; United States - epidemiology</subject><ispartof>Alzheimer's & dementia, 2015-06, Vol.11 (6), p.622-638</ispartof><rights>The Alzheimer's Association</rights><rights>2015 The Alzheimer's Association</rights><rights>Copyright © 2015 The Alzheimer's Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c6052-2e87260341c59df63cc6075e8c6443fe1aa718fa4efd70128499a095ecb3448c3</citedby><cites>FETCH-LOGICAL-c6052-2e87260341c59df63cc6075e8c6443fe1aa718fa4efd70128499a095ecb3448c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1016%2Fj.jalz.2014.07.002$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1016%2Fj.jalz.2014.07.002$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,778,782,1414,27907,27908,45557,45558</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25200335$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bell, Janice F</creatorcontrib><creatorcontrib>Fitzpatrick, Annette L</creatorcontrib><creatorcontrib>Copeland, Catherine</creatorcontrib><creatorcontrib>Chi, Gloria</creatorcontrib><creatorcontrib>Steinman, Lesley</creatorcontrib><creatorcontrib>Whitney, Robin L</creatorcontrib><creatorcontrib>Atkins, David C</creatorcontrib><creatorcontrib>Bryant, Lucinda L</creatorcontrib><creatorcontrib>Grodstein, Francine</creatorcontrib><creatorcontrib>Larson, Eric</creatorcontrib><creatorcontrib>Logsdon, Rebecca</creatorcontrib><creatorcontrib>Snowden, Mark</creatorcontrib><title>Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions</title><title>Alzheimer's & dementia</title><addtitle>Alzheimers Dement</addtitle><description>Abstract Background Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities. Results 117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries. Conclusions Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs.</description><subject>Chronic conditions</subject><subject>Chronic Disease</subject><subject>Cognition Disorders - epidemiology</subject><subject>Cognitive impairment</subject><subject>Comorbidity</subject><subject>Data Interpretation, Statistical</subject><subject>Datasets as Topic</subject><subject>Dementia</subject><subject>Dementia - epidemiology</subject><subject>Europe - epidemiology</subject><subject>Humans</subject><subject>Internet</subject><subject>Multiple</subject><subject>Neurology</subject><subject>Public health</subject><subject>Secondary Data analysis</subject><subject>United States - epidemiology</subject><issn>1552-5260</issn><issn>1552-5279</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNqNUk1v1DAQjRCIfsAf4IB85LLBX_mSENKqainVShyACxfLa0_KhMRebKew_HocpfTAAXGxR2_evBm9maJ4wWjJKKtfD-Wgx18lp0yWtCkp5Y-KU1ZVfFPxpnv8ENf0pDiLcaBU0pZVT4sTXnFKhahOi_nyJ8aE7pZYnTSJkCJJnsT5cPAhkZhmixCJ74mFCVxCTXwgEW8d9mi0S8T4HCe8A4LTQWNYWEQ7mxOTD3vMwdfgHZoMOJuZ3sVnxZNejxGe3__nxeery08X15vdh3fvL7a7jalpHp1D2-TphWSm6mxfC5PxpoLW1FKKHpjWDWt7LaG3DWW8lV2naVeB2QspWyPOi1er7iH47zPEpCaMBsZRO_BzVKxuO0G7motM5SvVBB9jgF4dAk46HBWjarFbDWqxWy12K9qobHcuenmvP-8nsA8lf_zNhO1K-IEjHP9DUm13X25u8rNgtFmbvFk1IDt1hxBUNAjOgMUAJinr8d8zvv2r3IyY16HHb3CEOPg5uLwDxVTkiqqPy9EsN5Pbc9m1UvwGL8O7VA</recordid><startdate>201506</startdate><enddate>201506</enddate><creator>Bell, Janice F</creator><creator>Fitzpatrick, Annette L</creator><creator>Copeland, Catherine</creator><creator>Chi, Gloria</creator><creator>Steinman, Lesley</creator><creator>Whitney, Robin L</creator><creator>Atkins, David C</creator><creator>Bryant, Lucinda L</creator><creator>Grodstein, Francine</creator><creator>Larson, Eric</creator><creator>Logsdon, Rebecca</creator><creator>Snowden, Mark</creator><general>Elsevier Inc</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope></search><sort><creationdate>201506</creationdate><title>Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions</title><author>Bell, Janice F ; Fitzpatrick, Annette L ; Copeland, Catherine ; Chi, Gloria ; Steinman, Lesley ; Whitney, Robin L ; Atkins, David C ; Bryant, Lucinda L ; Grodstein, Francine ; Larson, Eric ; Logsdon, Rebecca ; Snowden, Mark</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c6052-2e87260341c59df63cc6075e8c6443fe1aa718fa4efd70128499a095ecb3448c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Chronic conditions</topic><topic>Chronic Disease</topic><topic>Cognition Disorders - epidemiology</topic><topic>Cognitive impairment</topic><topic>Comorbidity</topic><topic>Data Interpretation, Statistical</topic><topic>Datasets as Topic</topic><topic>Dementia</topic><topic>Dementia - epidemiology</topic><topic>Europe - epidemiology</topic><topic>Humans</topic><topic>Internet</topic><topic>Multiple</topic><topic>Neurology</topic><topic>Public health</topic><topic>Secondary Data analysis</topic><topic>United States - epidemiology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bell, Janice F</creatorcontrib><creatorcontrib>Fitzpatrick, Annette L</creatorcontrib><creatorcontrib>Copeland, Catherine</creatorcontrib><creatorcontrib>Chi, Gloria</creatorcontrib><creatorcontrib>Steinman, Lesley</creatorcontrib><creatorcontrib>Whitney, Robin L</creatorcontrib><creatorcontrib>Atkins, David C</creatorcontrib><creatorcontrib>Bryant, Lucinda L</creatorcontrib><creatorcontrib>Grodstein, Francine</creatorcontrib><creatorcontrib>Larson, Eric</creatorcontrib><creatorcontrib>Logsdon, Rebecca</creatorcontrib><creatorcontrib>Snowden, Mark</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Alzheimer's & dementia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bell, Janice F</au><au>Fitzpatrick, Annette L</au><au>Copeland, Catherine</au><au>Chi, Gloria</au><au>Steinman, Lesley</au><au>Whitney, Robin L</au><au>Atkins, David C</au><au>Bryant, Lucinda L</au><au>Grodstein, Francine</au><au>Larson, Eric</au><au>Logsdon, Rebecca</au><au>Snowden, Mark</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions</atitle><jtitle>Alzheimer's & dementia</jtitle><addtitle>Alzheimers Dement</addtitle><date>2015-06</date><risdate>2015</risdate><volume>11</volume><issue>6</issue><spage>622</spage><epage>638</epage><pages>622-638</pages><issn>1552-5260</issn><eissn>1552-5279</eissn><abstract>Abstract Background Dementia or other significant cognitive impairment (SCI) are often comorbid with other chronic diseases. To promote collaborative research on the intersection of these conditions, we compiled a systematic inventory of major data resources. Methods Large data sets measuring dementia and/or cognition and chronic conditions in adults were included in the inventory. Key features of the resources were abstracted including region, participant sociodemographic characteristics, study design, sample size, accessibility, and available measures of dementia and/or cognition and comorbidities. Results 117 study data sets were identified; 53% included clinical diagnoses of dementia along with valid and reliable measures of cognition. Most (79%) used longitudinal cohort designs and 41% had sample sizes greater than 5000. Approximately 47% were European-based, 40% were US-based, and 11% were based in other countries. Conclusions Many high-quality data sets exist to support collaborative studies of the effects of dementia or SCI on chronic conditions and to inform the development of evidence-based disease management programs.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>25200335</pmid><doi>10.1016/j.jalz.2014.07.002</doi><tpages>17</tpages></addata></record> |
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| subjects | Chronic conditions Chronic Disease Cognition Disorders - epidemiology Cognitive impairment Comorbidity Data Interpretation, Statistical Datasets as Topic Dementia Dementia - epidemiology Europe - epidemiology Humans Internet Multiple Neurology Public health Secondary Data analysis United States - epidemiology |
| title | Existing data sets to support studies of dementia or significant cognitive impairment and comorbid chronic conditions |
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