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Characterization of sleep efficiency transitions in family caregivers
Family caregivers are at high risk of psychological distress and low sleep efficiency resulting from their caregiving responsibilities. Although psychological symptoms are associated with sleep efficiency, there is limited knowledge about the association of psychological distress with variations in...
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Published in: | Journal of behavioral medicine 2024-04, Vol.47 (2), p.308-319 |
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container_title | Journal of behavioral medicine |
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creator | Ahn, Soojung Lobo, Jennifer M. Davis, Eric M. Howie-Esquivel, Jill Chung, Misook L. Logan, Jeongok G. |
description | Family caregivers are at high risk of psychological distress and low sleep efficiency resulting from their caregiving responsibilities. Although psychological symptoms are associated with sleep efficiency, there is limited knowledge about the association of psychological distress with variations in sleep efficiency. We aimed to characterize the short- and long-term patterns of caregivers’ sleep efficiency using Markov chain models and compare these patterns between groups with high and low psychological symptoms (i.e., depression, anxiety, and caregiving stress). Based on 7-day actigraphy data from 33 caregivers, we categorized sleep efficiency into three states, |
doi_str_mv | 10.1007/s10865-023-00461-3 |
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Although psychological symptoms are associated with sleep efficiency, there is limited knowledge about the association of psychological distress with variations in sleep efficiency. We aimed to characterize the short- and long-term patterns of caregivers’ sleep efficiency using Markov chain models and compare these patterns between groups with high and low psychological symptoms (i.e., depression, anxiety, and caregiving stress). Based on 7-day actigraphy data from 33 caregivers, we categorized sleep efficiency into three states, < 75% (S1), 75–84% (S2), and ≥ 85% (S3), and developed Markov chain models. Caregivers were likely to maintain a consistent sleep efficiency state from one night to the next without returning efficiently to a normal state. On average, it took 3.6–5.1 days to return to a night of normal sleep efficiency (S3) from lower states, and the long-term probability of achieving normal sleep was 42%. We observed lower probabilities of transitioning to or remaining in a normal sleep efficiency state (S3) in the high depression and anxiety groups compared to the low symptom groups. The differences in the time required to return to a normal state were inconsistent by symptom levels. The long-term probability of achieving normal sleep efficiency was significantly lower for caregivers with high depression and anxiety compared to the low symptom groups. Caregivers’ sleep efficiency appears to remain relatively consistent over time and does not show rapid recovery. Caregivers with higher levels of depression and anxiety may be more vulnerable to sustained suboptimal sleep efficiency.</description><identifier>ISSN: 0160-7715</identifier><identifier>ISSN: 1573-3521</identifier><identifier>EISSN: 1573-3521</identifier><identifier>DOI: 10.1007/s10865-023-00461-3</identifier><identifier>PMID: 38017251</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Actigraphy ; Anxiety ; Anxiety - psychology ; Caregiver burden ; Caregivers ; Caregivers - psychology ; Caregiving ; Circadian rhythm ; Depression ; Efficiency ; Family Medicine ; General Practice ; Health Psychology ; High risk ; Humans ; Long term ; Markov analysis ; Markov chains ; Medicine ; Medicine & Public Health ; Mental depression ; Probability ; Psychological distress ; Psychological problems ; Sleep ; Sleep Wake Disorders - psychology ; Stress, Psychological - psychology</subject><ispartof>Journal of behavioral medicine, 2024-04, Vol.47 (2), p.308-319</ispartof><rights>The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c326t-f3b86afe808bc07f1e4219fc25fac1bac0050f28f43ba553ba61f8160349dc283</cites><orcidid>0000-0002-4234-3576</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38017251$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ahn, Soojung</creatorcontrib><creatorcontrib>Lobo, Jennifer M.</creatorcontrib><creatorcontrib>Davis, Eric M.</creatorcontrib><creatorcontrib>Howie-Esquivel, Jill</creatorcontrib><creatorcontrib>Chung, Misook L.</creatorcontrib><creatorcontrib>Logan, Jeongok G.</creatorcontrib><title>Characterization of sleep efficiency transitions in family caregivers</title><title>Journal of behavioral medicine</title><addtitle>J Behav Med</addtitle><addtitle>J Behav Med</addtitle><description>Family caregivers are at high risk of psychological distress and low sleep efficiency resulting from their caregiving responsibilities. Although psychological symptoms are associated with sleep efficiency, there is limited knowledge about the association of psychological distress with variations in sleep efficiency. We aimed to characterize the short- and long-term patterns of caregivers’ sleep efficiency using Markov chain models and compare these patterns between groups with high and low psychological symptoms (i.e., depression, anxiety, and caregiving stress). Based on 7-day actigraphy data from 33 caregivers, we categorized sleep efficiency into three states, < 75% (S1), 75–84% (S2), and ≥ 85% (S3), and developed Markov chain models. Caregivers were likely to maintain a consistent sleep efficiency state from one night to the next without returning efficiently to a normal state. On average, it took 3.6–5.1 days to return to a night of normal sleep efficiency (S3) from lower states, and the long-term probability of achieving normal sleep was 42%. We observed lower probabilities of transitioning to or remaining in a normal sleep efficiency state (S3) in the high depression and anxiety groups compared to the low symptom groups. The differences in the time required to return to a normal state were inconsistent by symptom levels. The long-term probability of achieving normal sleep efficiency was significantly lower for caregivers with high depression and anxiety compared to the low symptom groups. Caregivers’ sleep efficiency appears to remain relatively consistent over time and does not show rapid recovery. Caregivers with higher levels of depression and anxiety may be more vulnerable to sustained suboptimal sleep efficiency.</description><subject>Actigraphy</subject><subject>Anxiety</subject><subject>Anxiety - psychology</subject><subject>Caregiver burden</subject><subject>Caregivers</subject><subject>Caregivers - psychology</subject><subject>Caregiving</subject><subject>Circadian rhythm</subject><subject>Depression</subject><subject>Efficiency</subject><subject>Family Medicine</subject><subject>General Practice</subject><subject>Health Psychology</subject><subject>High risk</subject><subject>Humans</subject><subject>Long term</subject><subject>Markov analysis</subject><subject>Markov chains</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Mental depression</subject><subject>Probability</subject><subject>Psychological distress</subject><subject>Psychological problems</subject><subject>Sleep</subject><subject>Sleep Wake Disorders - psychology</subject><subject>Stress, Psychological - psychology</subject><issn>0160-7715</issn><issn>1573-3521</issn><issn>1573-3521</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNp9kE1PAyEQhonR2Fr9Ax7MJl68oAMsLHs0Tf1ImnjRM2EpVJr9qLA1qb9e6lZNPHgZDvPMO8OD0DmBawJQ3EQCUnAMlGGAXBDMDtCY8IJhxik5RGMgAnBRED5CJzGuAECUeXmMRkwCKSgnYzSbvuqgTW-D_9C979qsc1msrV1n1jlvvG3NNuuDbqPftWPm28zpxtfbzOhgl_7dhniKjpyuoz3bvxP0cjd7nj7g-dP94_R2jg2joseOVVJoZyXIykDhiM0pKZ2h3GlDKm0AODgqXc4qzXkqgjiZPsHycmGoZBN0NeSuQ_e2sbFXjY_G1rVubbeJisqSU14yUST08g-66jahTdcpWvIiCcjFLpAOlAldjME6tQ6-0WGrCKidZDVIVkmy-pKsWBq62EdvqsYufka-rSaADUBMrXZpw-_uf2I_AV4rhxQ</recordid><startdate>20240401</startdate><enddate>20240401</enddate><creator>Ahn, Soojung</creator><creator>Lobo, Jennifer M.</creator><creator>Davis, Eric M.</creator><creator>Howie-Esquivel, Jill</creator><creator>Chung, Misook L.</creator><creator>Logan, Jeongok G.</creator><general>Springer US</general><general>Springer Nature B.V</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>7QJ</scope><scope>7TK</scope><scope>K9.</scope><scope>NAPCQ</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4234-3576</orcidid></search><sort><creationdate>20240401</creationdate><title>Characterization of sleep efficiency transitions in family caregivers</title><author>Ahn, Soojung ; Lobo, Jennifer M. ; Davis, Eric M. ; Howie-Esquivel, Jill ; Chung, Misook L. ; Logan, Jeongok G.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c326t-f3b86afe808bc07f1e4219fc25fac1bac0050f28f43ba553ba61f8160349dc283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Actigraphy</topic><topic>Anxiety</topic><topic>Anxiety - psychology</topic><topic>Caregiver burden</topic><topic>Caregivers</topic><topic>Caregivers - psychology</topic><topic>Caregiving</topic><topic>Circadian rhythm</topic><topic>Depression</topic><topic>Efficiency</topic><topic>Family Medicine</topic><topic>General Practice</topic><topic>Health Psychology</topic><topic>High risk</topic><topic>Humans</topic><topic>Long term</topic><topic>Markov analysis</topic><topic>Markov chains</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Mental depression</topic><topic>Probability</topic><topic>Psychological distress</topic><topic>Psychological problems</topic><topic>Sleep</topic><topic>Sleep Wake Disorders - psychology</topic><topic>Stress, Psychological - psychology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ahn, Soojung</creatorcontrib><creatorcontrib>Lobo, Jennifer M.</creatorcontrib><creatorcontrib>Davis, Eric M.</creatorcontrib><creatorcontrib>Howie-Esquivel, Jill</creatorcontrib><creatorcontrib>Chung, Misook L.</creatorcontrib><creatorcontrib>Logan, Jeongok G.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><collection>Neurosciences Abstracts</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Premium</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of behavioral medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ahn, Soojung</au><au>Lobo, Jennifer M.</au><au>Davis, Eric M.</au><au>Howie-Esquivel, Jill</au><au>Chung, Misook L.</au><au>Logan, Jeongok G.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of sleep efficiency transitions in family caregivers</atitle><jtitle>Journal of behavioral medicine</jtitle><stitle>J Behav Med</stitle><addtitle>J Behav Med</addtitle><date>2024-04-01</date><risdate>2024</risdate><volume>47</volume><issue>2</issue><spage>308</spage><epage>319</epage><pages>308-319</pages><issn>0160-7715</issn><issn>1573-3521</issn><eissn>1573-3521</eissn><abstract>Family caregivers are at high risk of psychological distress and low sleep efficiency resulting from their caregiving responsibilities. Although psychological symptoms are associated with sleep efficiency, there is limited knowledge about the association of psychological distress with variations in sleep efficiency. We aimed to characterize the short- and long-term patterns of caregivers’ sleep efficiency using Markov chain models and compare these patterns between groups with high and low psychological symptoms (i.e., depression, anxiety, and caregiving stress). Based on 7-day actigraphy data from 33 caregivers, we categorized sleep efficiency into three states, < 75% (S1), 75–84% (S2), and ≥ 85% (S3), and developed Markov chain models. Caregivers were likely to maintain a consistent sleep efficiency state from one night to the next without returning efficiently to a normal state. On average, it took 3.6–5.1 days to return to a night of normal sleep efficiency (S3) from lower states, and the long-term probability of achieving normal sleep was 42%. We observed lower probabilities of transitioning to or remaining in a normal sleep efficiency state (S3) in the high depression and anxiety groups compared to the low symptom groups. The differences in the time required to return to a normal state were inconsistent by symptom levels. The long-term probability of achieving normal sleep efficiency was significantly lower for caregivers with high depression and anxiety compared to the low symptom groups. Caregivers’ sleep efficiency appears to remain relatively consistent over time and does not show rapid recovery. Caregivers with higher levels of depression and anxiety may be more vulnerable to sustained suboptimal sleep efficiency.</abstract><cop>New York</cop><pub>Springer US</pub><pmid>38017251</pmid><doi>10.1007/s10865-023-00461-3</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-4234-3576</orcidid></addata></record> |
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subjects | Actigraphy Anxiety Anxiety - psychology Caregiver burden Caregivers Caregivers - psychology Caregiving Circadian rhythm Depression Efficiency Family Medicine General Practice Health Psychology High risk Humans Long term Markov analysis Markov chains Medicine Medicine & Public Health Mental depression Probability Psychological distress Psychological problems Sleep Sleep Wake Disorders - psychology Stress, Psychological - psychology |
title | Characterization of sleep efficiency transitions in family caregivers |
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