1
|
Winters B, Serpas D, Fullmer N, Hughes K, Kincaid J, Rosario ER, Schnakers C. Sleep Quality Should Be Assessed in Inpatient Rehabilitation Settings: A Preliminary Study. Brain Sci 2023; 13:brainsci13050718. [PMID: 37239190 DOI: 10.3390/brainsci13050718] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2023] [Revised: 04/14/2023] [Accepted: 04/20/2023] [Indexed: 05/28/2023] Open
Abstract
OBJECTIVES In this preliminary, longitudinal study, our objective was to assess changes in sleep quality during an inpatient stay in a rehabilitation setting in the United States and to relate changes to patients' demographic and clinical characteristics (i.e., age, gender, BMI, ethnicity, reason for hospitalization, pre-hospital living setting, prior diagnosis of sleep disorders, and mental health status). METHODS A total of 35 patients participated in this preliminary study (age = 61 ± 16 years old, 50% <65; BMI = 30 ± 7 kg/m2; 51% female; 51% Caucasian). The average length of hospitalization was 18 ± 8 days. Reasons for hospitalization included orthopedic-related issues (28%), spinal cord injury (28%), stroke (20%), and other (23%). In this sample, 23% had prior sleep disorders (mostly sleep apnea), and 60% came from an acute care unit. Patients' sleep quality was assessed using the Pittsburgh sleep quality index (PSQI) at admission and before discharge. Demographic and medical data were collected. Patients' mental health status was also assessed at the same intervals. Nighttime sound levels and the average number of sleep disturbances were also collected throughout the study (6 months). RESULTS Our data revealed that most patients had poor sleep (PSQI > 5) at admission (86%) and discharge (80%). Using a repeated ANOVA, a significant interaction was obtained between sleep quality and the presence of a diagnosed sleep disorder [F (1, 33) = 12.861, p = 0.001, η2p = 0.280]. The sleep quality of patients with sleep disorders improved over their stay, while the sleep of patients without such disorders did not. The mean nighttime sound collection level averages and peaks were 62.3 ± 5.1 dB and 86.1 ± 4.9 dB, respectively, and the average number of sleep disturbances was 2.6 ± 1.1. CONCLUSION The improved sleep observed in patients with vs. without sleep disorders might be related to the care received for treating such disorders over the stay. Our findings call for the better detection and management of poor sleep in acute inpatient rehabilitation settings. Furthermore, if our findings are replicated in the future, studies on the implementation of quiet times for medical staff, patients, and family should be performed to improve sleep quality in the inpatient rehabilitation setting.
Collapse
Affiliation(s)
- Benjamin Winters
- Department of Psychology, University of California, Los Angeles, CA 90095, USA
| | - Dylan Serpas
- Department of Psychology, University of South Florida, Tampa, FL 33620, USA
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - Niko Fullmer
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - Katie Hughes
- Department of Nursing, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - Jennifer Kincaid
- Respiratory Care Services, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - Emily R Rosario
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| | - Caroline Schnakers
- Research Institute, Casa Colina Hospital and Centers for Healthcare, Pomona, CA 91767, USA
| |
Collapse
|
2
|
Taillard J, Gronfier C, Bioulac S, Philip P, Sagaspe P. Sleep in Normal Aging, Homeostatic and Circadian Regulation and Vulnerability to Sleep Deprivation. Brain Sci 2021; 11:1003. [PMID: 34439622 PMCID: PMC8392749 DOI: 10.3390/brainsci11081003] [Citation(s) in RCA: 36] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 07/23/2021] [Accepted: 07/25/2021] [Indexed: 12/30/2022] Open
Abstract
In the context of geriatric research, a growing body of evidence links normal age-related changes in sleep with many adverse health outcomes, especially a decline in cognition in older adults. The most important sleep alterations that continue to worsen after 60 years involve sleep timing, (especially early wake time, phase advance), sleep maintenance (continuity of sleep interrupted by numerous awakenings) and reduced amount of sigma activity (during non-rapid eye movement (NREM) sleep) associated with modifications of sleep spindle characteristics (density, amplitude, frequency) and spindle-Slow Wave coupling. After 60 years, there is a very clear gender-dependent deterioration in sleep. Even if there are degradations of sleep after 60 years, daytime wake level and especially daytime sleepiness is not modified with age. On the other hand, under sleep deprivation condition, older adults show smaller cognitive impairments than younger adults, suggesting an age-related lower vulnerability to extended wakefulness. These sleep and cognitive age-related modifications would be due to a reduced homeostatic drive and consequently a reduced sleep need, an attenuation of circadian drive (reduction of sleep forbidden zone in late afternoon and wake forbidden zone in early morning), a modification of the interaction of the circadian and homeostatic processes and/or an alteration of subcortical structures involved in generation of circadian and homeostatic drive, or connections to the cerebral cortex with age. The modifications and interactions of these two processes with age are still uncertain, and still require further investigation. The understanding of the respective contribution of circadian and homeostatic processes in the regulation of neurobehavioral function with aging present a challenge for improving health, management of cognitive decline and potential early chronobiological or sleep-wake interventions.
Collapse
Affiliation(s)
- Jacques Taillard
- Sommeil, Addiction et Neuropsychiatrie, Université de Bordeaux, SANPSY, USR 3413, F-33000 Bordeaux, France; (S.B.); (P.P.); (P.S.)
- CNRS, SANPSY, USR 3413, F-33000 Bordeaux, France
| | - Claude Gronfier
- Lyon Neuroscience Research Center (CRNL), Integrative Physiology of the Brain Arousal Systems (Waking) Team, Inserm UMRS 1028, CNRS UMR 5292, Université Claude Bernard Lyon 1, Université de Lyon, F-69000 Lyon, France;
| | - Stéphanie Bioulac
- Sommeil, Addiction et Neuropsychiatrie, Université de Bordeaux, SANPSY, USR 3413, F-33000 Bordeaux, France; (S.B.); (P.P.); (P.S.)
- CNRS, SANPSY, USR 3413, F-33000 Bordeaux, France
- Pôle Neurosciences Cliniques, CHU de Bordeaux, F-33076 Bordeaux, France
| | - Pierre Philip
- Sommeil, Addiction et Neuropsychiatrie, Université de Bordeaux, SANPSY, USR 3413, F-33000 Bordeaux, France; (S.B.); (P.P.); (P.S.)
- CNRS, SANPSY, USR 3413, F-33000 Bordeaux, France
- Pôle Neurosciences Cliniques, CHU de Bordeaux, F-33076 Bordeaux, France
| | - Patricia Sagaspe
- Sommeil, Addiction et Neuropsychiatrie, Université de Bordeaux, SANPSY, USR 3413, F-33000 Bordeaux, France; (S.B.); (P.P.); (P.S.)
- CNRS, SANPSY, USR 3413, F-33000 Bordeaux, France
- Pôle Neurosciences Cliniques, CHU de Bordeaux, F-33076 Bordeaux, France
| |
Collapse
|
3
|
Lapane KL, Dubé C, Hume AL, Tjia J, Jesdale BM, Pawasauskas J, Khodyakov D. Priority-Setting to Address the Geriatric Pharmacoparadox for Pain Management: A Nursing Home Stakeholder Delphi Study. Drugs Aging 2021; 38:327-340. [PMID: 33624228 DOI: 10.1007/s40266-021-00836-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/16/2021] [Indexed: 11/30/2022]
Abstract
BACKGROUND Evidence to guide clinical decision making for pain management in nursing home residents is scant. OBJECTIVE Our objective was to explore the extent of consensus among expert stakeholders regarding what analgesic issues should be prioritized for comparative-effectiveness studies of beneficial and adverse effects of analgesic regimens in nursing home residents. METHODS Two stakeholder panels (nurses only and a mix of clinicians/researchers) were engaged (n = 83). During a three-round online modified Delphi process, participants rated and commented on the need for new evidence on nonopioid analgesic regimens and opioid regimens, short-term adverse effects, long-term adverse effects, comorbid conditions, and other factors in the nursing home setting (9-point scale; 1 = not essential to 9 = very essential to obtain new evidence). The quantitative data were analyzed to determine the existence of consensus using an approach from the RAND/UCLA Appropriateness Method User's Manual. The qualitative data, consisting of participant explanations of their numeric ratings, were thematically analyzed by an experienced qualitative researcher. RESULTS For nursing home residents, evidence generation was deemed essential for opioids, gabapentin (alone or with serotonin norepinephrine reuptake inhibitors [SNRIs]), and nonsteroid anti-inflammatory drugs with SNRIs. Experts prioritized the following outcomes as essential: long-term adverse effects, including delirium, cognitive decline, and decline in activities of daily living (ADLs). Kidney disease and depression were deemed essential conditions to consider in studies of pain medications. Coprescribing analgesic regimens with benzodiazepines, sedating medications, serotonergic medications, and non-SNRI antidepressants were considered essential areas of study. Experts noted that additional study was essential in residents with moderate/severe cognitive impairment and limitations in ADLs. CONCLUSIONS Stakeholder priorities for more evidence reflect concerns related to treating medically complex residents with complex drug regimens and included long-term adverse effects, coprescribing, and sedating medications. Carefully conducted observational studies are needed to address the vast evidence gap for nursing home residents.
Collapse
Affiliation(s)
- Kate L Lapane
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA.
| | - Catherine Dubé
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Anne L Hume
- Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | - Jennifer Tjia
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Bill M Jesdale
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, University of Massachusetts Medical School, 368 Plantation Street, Worcester, MA, 01605, USA
| | - Jayne Pawasauskas
- Department of Pharmacy Practice, College of Pharmacy, University of Rhode Island, Kingston, RI, USA
| | | |
Collapse
|
4
|
Chen YL, Tseng WL, Yang LK, Gau SSF. Gender and Age Differences in Sleep Problems in Children: Person-Oriented Approach With Multigroup Analysis. Behav Sleep Med 2019; 17:302-313. [PMID: 28753086 DOI: 10.1080/15402002.2017.1357117] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
OBJECTIVE/BACKGROUND This study aimed to identify subtypes of sleep problems in children and to examine whether these patterns differed between gender and age groups. PARTICIPANTS There were 3,052 children (951 elementary school boys, 943 elementary school girls, 603 junior high school boys, and 555 junior high school girls) aged 7-16 years from two school-based epidemiological samples. METHODS Sleep problems were measured by the Sleep Habit Questionnaire based on parent reports. RESULTS Using the latent class modeling, a person-oriented approach, with a multigroup analysis, we identified four classes of sleep problems: moderate to high sleep problems (1.1%-3.1%), sleep-related breathing problems and parasomnias dominant (14.9%-21.1%), insomnias dominant and parasomnias (1.0%-3.1%), and no or low sleep problems (74.7%-81.4%), with varied prevalence rates of sleep problems across gender and age groups. CONCLUSIONS This study identified four classes of sleep problems across gender and age groups but with different prevalence rates of sleep problems, suggesting the complex interaction of gender and age in the subtypes of sleep problems. The gender- and age-specific interventions for sleep problems are suggested. Future studies are warranted to replicate these classes and to identify associated factors with each class.
Collapse
Affiliation(s)
- Yi-Lung Chen
- a Department of Psychiatry , National Taiwan University Hospital and College of Medicine , Taipei , Taiwan.,b Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health , National Taiwan University , Taipei , Taiwan
| | - Wan-Ling Tseng
- c Department of Health and Human Services , Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health , Bethesda , Maryland
| | - Li-Kuang Yang
- a Department of Psychiatry , National Taiwan University Hospital and College of Medicine , Taipei , Taiwan.,d National Defense Medical Center , Tri-Service General Hospital , Beitou Branch , Taiwan
| | - Susan Shur-Fen Gau
- a Department of Psychiatry , National Taiwan University Hospital and College of Medicine , Taipei , Taiwan.,b Graduate Institute of Epidemiology and Preventive Medicine, College of Public Health , National Taiwan University , Taipei , Taiwan.,e Department of Health and Human Services , Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health , Bethesda , Maryland , USA.,f Graduate Institute of Brain and Mind Sciences and Clinical Medicine, College of Medicine , National Taiwan University , Taipei , Taiwan
| |
Collapse
|
5
|
Selvi Y, Boysan M, Kandeger A, Uygur OF, Sayin AA, Akbaba N, Koc B. Heterogeneity of sleep quality in relation to circadian preferences and depressive symptomatology among major depressive patients. J Affect Disord 2018; 235:242-249. [PMID: 29660638 DOI: 10.1016/j.jad.2018.02.018] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/12/2017] [Revised: 01/10/2018] [Accepted: 02/15/2018] [Indexed: 11/28/2022]
Abstract
BACKGROUND The current study aimed at investigating the latent dimensional structure of sleep quality as indexed by the seven components of the Pittsburgh Sleep Quality Index (PSQI), as well as latent covariance structure between sleep quality, circadian preferences and depressive symptoms. METHODS Two hundred twenty-five patients with major depressive disorder (MDD), with an average age of 29.92 ± 10.49 years (aged between 17 and 63), participated in the study. The PSQI, Morningness-Eveningness Questionnaire (MEQ) and Beck Depression Inventory (BDI) were administered to participants. Four sets of latent class analyses were subsequently run to obtain optimal number of latent classes best fit to the data. RESULTS Mixture models revealed that sleep quality is multifaceted in MDD. The data best fit to four-latent-class model: Poor Habitual Sleep Quality (PHSQ), Poor Subjective Sleep Quality (PSSQ), Intermediate Sleep Quality (ISQ), and Good Sleep Quality (GSQ). MDD patients classified into GSQ latent class (23.6%) reported the lowest depressive symptoms and were more prone to morningness diurnal preferences compared to other three homogenous sub-groups. Finally, the significant association between eveningness diurnal preferences and depressive symptomatology was significantly mediated by poor sleep quality. LIMITATION The cross-sectional nature of the study and the lack of an objective measurement of sleep such as polysomnography recordings was the most striking limitation of the study. CONCLUSIONS We concluded sleep quality in relation to circadian preferences and depressive symptoms has a heterogeneous nature in MDD.
Collapse
Affiliation(s)
- Yavuz Selvi
- Selcuk University Neuroscience Research Center (SAM), Konya, Turkey; Selcuk University Medicine Faculty, Department of Psychiatry, Konya, Turkey.
| | - Murat Boysan
- Yuzuncu Yil University, School of Science and Arts, Department of Psychology, Van, Turkey
| | - Ali Kandeger
- Isparta City Hospital, Department of Psychiatry, Isparta, Turkey
| | - Omer F Uygur
- Kahramanmaras Necip Fazil City Hospital, Department of Psychiatry, Kahramanmaras, Turkey
| | - Ayca A Sayin
- Duzici State Hospital, Department of Psychiatry, Osmaniye, Turkey
| | - Nursel Akbaba
- Nusaybin State Hospital, Department of Psychiatry, Mardin, Turkey
| | - Basak Koc
- Acipayam State Hospital, Department of Psychiatry, Denizli, Turkey
| |
Collapse
|
6
|
Chang LY, Chang HY, Lin LN, Wu CC, Yen LL. Transitions in sleep problems from late adolescence to young adulthood: A longitudinal analysis of the effects of peer victimization. Aggress Behav 2018; 44:69-82. [PMID: 28857191 DOI: 10.1002/ab.21725] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2017] [Revised: 07/10/2017] [Accepted: 07/11/2017] [Indexed: 12/24/2022]
Abstract
Adolescence is a developmental period with high vulnerability to sleep problems. However, research identifying distinct patterns and underlying determinants of sleep problems is scarce. This study investigated discrete subgroups of, changes in, and stability of sleep problems. We also examined whether peer victimization influenced sleep problem subgroups and transitions in patterns of sleep problems from late adolescence to young adulthood. Sex differences in the effects of peer victimization were also explored. In total, 1,455 male and 1,399 female adolescents from northern Taiwan participated in this longitudinal study. Latent transition analysis was used to examine changes in patterns of sleep problems and the effects of peer victimization on these changes. We identified three subgroups of sleep problems in males and two in females, and found that there was a certain level of instability in patterns of sleep problems during the study period. For both sexes, those with greater increases in peer victimization over time were more likely to change from being a good sleeper to a poor sleeper. The effects of peer victimization on baseline status of sleep problems, however, was only significant for males, with those exposed to higher levels of peer victimization more likely to be poor sleepers at baseline. Our findings reveal an important role of peer victimization in predicting transitions in patterns of sleep problems. Intervention programs aimed at decreasing peer victimization may help reduce the development and escalation of sleep problems among adolescents, especially in males.
Collapse
Affiliation(s)
- Ling-Yin Chang
- Institute of Population Health Sciences; National Health Research Institutes; Zhunan Town Miaoli County Taiwan
| | - Hsing-Yi Chang
- Institute of Population Health Sciences; National Health Research Institutes; Zhunan Town Miaoli County Taiwan
| | - Linen Nymphas Lin
- Department of Psychiatry; En Chu Kong Hospital; New Taipei Taiwan
- Department of Psychology; Chung Yuan Christian University; Taoyuan Taiwan
| | - Chi-Chen Wu
- Institute of Population Health Sciences; National Health Research Institutes; Zhunan Town Miaoli County Taiwan
| | - Lee-Lan Yen
- Institute of Population Health Sciences; National Health Research Institutes; Zhunan Town Miaoli County Taiwan
- Institute of Health Policy and Management; College of Public Health; National Taiwan University; Taipei Taiwan
| |
Collapse
|
7
|
Heterogeneity of sleep quality based on the Pittsburgh Sleep Quality Index in a community sample: a latent class analysis. Sleep Biol Rhythms 2017. [DOI: 10.1007/s41105-017-0097-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
|
8
|
Dzierzewski JM, Mitchell M, Rodriguez JC, Fung CH, Jouldjian S, Alessi CA, Martin JL. Patterns and predictors of sleep quality before, during, and after hospitalization in older adults. J Clin Sleep Med 2015; 11:45-51. [PMID: 25325580 DOI: 10.5664/jcsm.4362] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2014] [Accepted: 08/11/2014] [Indexed: 11/13/2022]
Abstract
STUDY OBJECTIVES The impact of hospitalization on sleep in late-life is underexplored. The current study examined patterns of sleep quality before, during, and following hospitalization, investigated predictors of sleep quality patterns, and examined predictors of classification discordance between two suggested clinical cutoffs used to demarcate poor/good sleep. METHODS This study included older adults (n = 163; mean age 79.7 ± 6.9 years, 31% female) undergoing inpatient post-acute rehabilitation. Upon admission to inpatient post-acute rehabilitation, patients completed the Pittsburgh Sleep Quality Index (PSQI) retrospectively regarding their sleep prior to hospitalization. They subsequently completed the PSQI at discharge, and 3 months, 6 months, 9 months, and 1 year post discharge. Patient demographic and clinical characteristics (pain, depression, cognition, comorbidity) were collected upon admission. RESULTS Using latent class analysis methods, older adults could be classified into (1) Consistently Good Sleepers and (2) Chronically Poor Sleepers based on patterns of self-reported sleep quality pre-illness, during, and up to 1 year following inpatient rehabilitation. This pattern was maintained regardless of the clinical cutoff employed (> 5 or > 8). Logistic regression analyses indicated that higher pain and depressive symptoms were consistently associated with an increased likelihood of being classified as a chronic poor sleeper. While there was substantial classification discordance based on clinical cutoff employed, no significant predictors of this discordance emerged. CONCLUSIONS Clinicians should exercise caution in assessing sleep quality in inpatient settings. Alterations in the cutoffs employed may result in discordant clinical classifications of older adults. Pain and depression warrant detailed considerations when working with older adults on inpatient units when poor sleep is a concern.
Collapse
Affiliation(s)
- Joseph M Dzierzewski
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| | - Michael Mitchell
- VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| | - Juan Carlos Rodriguez
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA.,School of Medicine, Pontificia Universidad Catolica de Chile
| | - Constance H Fung
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| | - Stella Jouldjian
- VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| | - Cathy A Alessi
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| | - Jennifer L Martin
- David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA.,VA Greater Los Angeles Healthcare System, Geriatric Research, Education and Clinical Center; Los Angeles, CA
| |
Collapse
|