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Canever JB, Zurman G, Vogel F, Sutil DV, Diz JBM, Danielewicz AL, Moreira BDS, Cimarosti HI, de Avelar NCP. Worldwide prevalence of sleep problems in community-dwelling older adults: A systematic review and meta-analysis. Sleep Med 2024; 119:118-134. [PMID: 38669835 DOI: 10.1016/j.sleep.2024.03.040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2024] [Revised: 03/09/2024] [Accepted: 03/23/2024] [Indexed: 04/28/2024]
Abstract
The understanding of the prevalence of sleep problems in older adults can provide a broad and reliable perspective into the occurrence of such issues among older adults. This systematic review and meta-analysis aimed to estimate the worldwide prevalence of sleep problems in community-dwelling older adults. Studies that provide information on the prevalence of sleep problems in community-dwelling older adults (≥60 years) were screened between December 2022 and March 2023. A total of 20,379 studies were identified in database searches, from which 252 were included in this review. These studies covered the last 35 years (from 1988 to 2023) and pooled a sample of 995,544 participants from 36 countries. The most frequent sleep problem worldwide was obstructive sleep apnea (46.0%), followed by poor sleep quality (40.0%), other sleep problems (37.0%), insomnia (29.0%), and excessive daytime sleepiness (19.0%). No significant difference in the prevalence estimates of all sleep problems was observed between the sexes. This systematic review and meta-analysis showed a high prevalence of some sleep problems, mainly obstructive sleep apnea, poor sleep quality, and other sleep problems. Our estimates can be useful for managers and policymakers in planning healthcare strategies for sleep problems aimed at the older population.
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Affiliation(s)
- Jaquelini Betta Canever
- Laboratory of Aging, Resources and Rheumatology, Department of Health Sciences, Federal University of Santa Catarina, Campus Araranguá, Rod. Governador Jorge Lacerda, Araranguá, Santa Catarina, Urussanguinha, 320188906-072, Brazil; Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil.
| | - Gabriela Zurman
- Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Felipe Vogel
- Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Daiana Vieira Sutil
- Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | | | - Ana Lúcia Danielewicz
- Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
| | - Bruno de Souza Moreira
- Center for Studies in Public Health and Aging, Federal University of Minas Gerais and Oswaldo Cruz Foundation - Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
| | - Helena Iturvides Cimarosti
- Laboratory of Aging, Resources and Rheumatology, Department of Health Sciences, Federal University of Santa Catarina, Campus Araranguá, Rod. Governador Jorge Lacerda, Araranguá, Santa Catarina, Urussanguinha, 320188906-072, Brazil
| | - Núbia Carelli Pereira de Avelar
- Postgraduate Program in Neuroscience, Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil
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Nielson SA, Kay DB, Dzierzewski JM. Sleep and Depression in Older Adults: A Narrative Review. Curr Psychiatry Rep 2023; 25:643-658. [PMID: 37740851 DOI: 10.1007/s11920-023-01455-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 09/06/2023] [Indexed: 09/25/2023]
Abstract
PURPOSE OF REVIEW The sleep-depression association has been recognized for decades. Efforts to clarify this association continue at an increasing pace. This review summarizes recent research on the sleep-depression association in older adults. RECENT FINDINGS Research over the past 4 years has utilized cross-sectional, longitudinal, cohort, and intervention designs to examine these associations. Short (< 7 h) and long (> 8-9 h) sleep durations and insomnia symptoms are risk factors for depression in older adults. Similarly, short sleep, long sleep, insomnia symptoms, and depression are all risk factors for poorer health in late life, including increased risk of cognitive decline, falls, and poorer quality-of-life. Intervention studies have produced mixed findings, with some studies suggesting that sleep interventions may be potentially effective in improving both insomnia and mood symptoms. Intervention studies incorporating both behavioral and physiological measures of sleep, and larger and diverse samples may enhance the field's understanding of the complex interplay between sleep and mood in older adults.
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Affiliation(s)
- Spencer A Nielson
- Department of Psychology, Virginia Commonwealth University, Richmond, USA
| | - Daniel B Kay
- Department of Psychology, Brigham Young University, Provo, UT, USA
| | - Joseph M Dzierzewski
- National Sleep Foundation, 2001 Massachusetts Ave NW, Washington, DC, 20036, USA.
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Cheng BJ, Sheng J, Wang HL, Wang Y, Cao HJ, Li XD, Zhou TT, Meng XL, Nie HH, Wang SF, Zhang DM, Chen GM, Tao FB, Yang LS. Selenium attenuates the association of co-exposure to arsenic, cadmium, and lead with cognitive function among Chinese community-dwelling older adults. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:36377-36391. [PMID: 36547832 DOI: 10.1007/s11356-022-24783-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2022] [Accepted: 12/12/2022] [Indexed: 06/17/2023]
Abstract
The effects of interactions between the toxic and essential metal mixtures on cognitive function are poorly understood. This study aims to identify the joint association of arsenic (As), cadmium (Cd), and lead (Pb) with cognitive function in older adults and the moderating role of selenium (Se), zinc (Zn), and copper (Cu) in this association. This study included 1000 community-dwelling older adults. Cognitive function was assessed by the Mini-Mental State Examination (MMSE). Blood concentrations of As, Cd, Pb, Se, Zn, and Cu were measured using inductively coupled plasma mass spectrometry. Linear regression and Bayesian kernel machine regression (BKMR) models were applied to assess the individual and joint associations of As, Cd, and Pb with cognitive function and to examine whether Se, Zn, and Cu (individually and as a mixture) modified these associations. In the adjusted single-metal models, both Cd (β = - 0.37, 95% CI: - 0.73 to - 0.01) and Pb (β = - 0.44, 95% CI: - 0.86 to - 0.02) were associated with MMSE scores, while Se (β = 0.71, 95% CI: 0.30 to 1.13) exhibited a positive relationship with MMSE scores. Univariate exposure-response functions from BKMR models showed similar results. Moreover, the toxic metal mixture (As, Cd, and Pb) exhibited a significant negative association with MMSE scores in a dose-response pattern, with Pb being the greatest contributor within the mixture. The negative association of Pb alone or the toxic metal mixture with MMSE scores became weaker at higher concentrations of Se within its normal range, especially when Se levels were greater than the median (89.18 μg/L). Our findings support that Se can attenuate the negative associations of exposure to single Pb or the As, Cd, and Pb mixtures with cognitive function. Future prospective studies are needed to replicate our findings.
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Affiliation(s)
- Bei-Jing Cheng
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
- Key Laboratory of Environmental Medicine Engineering, Ministry of Education, Southeast University, Nanjing, 210009, Jiangsu, China
| | - Jie Sheng
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Hong-Li Wang
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Yuan Wang
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Hong-Juan Cao
- Lu'an Center for Disease Control and Prevention, Lu'an, 237008, Anhui, China
| | - Xiu-De Li
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Lu'an Center for Disease Control and Prevention, Lu'an, 237008, Anhui, China
| | - Ting-Ting Zhou
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Hefei Center for Disease Control and Prevention, Hefei, 230051, Anhui, China
| | - Xiang-Long Meng
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Huan-Huan Nie
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Su-Fang Wang
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Dong-Mei Zhang
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Gui-Mei Chen
- School of Health Services Management, Anhui Medical University, Hefei, 230032, Anhui, China
| | - Fang-Biao Tao
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China
| | - Lin-Sheng Yang
- School of Public Health, Anhui Medical University, Hefei, 230032, Anhui, China.
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, 230032, Anhui, China.
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Kim M, Opsasnick L, Batio S, Benavente JY, Bonham M, Zheng P, Lovett RM, Bailey SC, Kwasny M, Ladner DP, Chou SH, Linder JA, Weintraub S, Luo Y, Zee PC, Wolf MS. Trajectories of Sleep Disturbance and Self-Management of Chronic Conditions during COVID-19 among Middle-aged and Older Adults. RESEARCH SQUARE 2023:rs.3.rs-2440390. [PMID: 36711985 PMCID: PMC9882680 DOI: 10.21203/rs.3.rs-2440390/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Background The COVID-19 pandemic has had a widespread impact on sleep quality, yet little is known about the prevalence of sleep disturbance and its impact on self-management of chronic conditions during the ongoing pandemic. Objective To evaluate trajectories of sleep disturbance, and their associations with one's capacity to self-manage chronic conditions. Design A longitudinal cohort study linked to 3 active clinical trials and 2 cohort studies with 5 time points of sleep data collection (July 15, 2020 - May 23, 2022). Participants Adults living with chronic conditions who completed sleep questionnaires for two or more time points. Exposure Trajectories of self-reported sleep disturbance across 5 time points. Main Outcomes 3 self-reported measures of self-management capacity, including subjective cognitive decline, medication adherence, and self-efficacy for managing chronic disease. Results 549 adults aged 23 to 91 years were included in the analysis. Two thirds had 3 or more chronic conditions; 42.4% of participants followed a trajectory of moderate or high likelihood of persistent sleep disturbance across the study period. Moderate or high likelihood of sleep disturbance was associated with older age (RR 1.57, 95% CI 1.09, 2.26, P<.05), persistent stress (RR 1.54, 95% CI 1.16, 2.06, P=.003), poorer physical function (RR 1.57, 95% CI 1.17, 2.13, P=.003), greater anxiety (RR 1.40, 95% CI 1.04, 1.87, P=.03) and depression (RR 1.63, 95% CI 1.20, 2.22, P=.002). Moderate or high likelihood of sleep disturbance was also independently associated with subjective cognitive decline, poorer medication adherence, and worse self-efficacy for managing chronic diseases (all P<.001). Conclusions Persistent sleep disturbance during the pandemic may be an important risk factor for inadequate chronic disease self-management and potentially poor health outcomes in adults living with chronic conditions. Public health and health system strategies might consider monitoring sleep quality in adults with chronic conditions to optimize health outcomes.
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Affiliation(s)
| | | | | | | | | | | | | | | | | | - Daniela P Ladner
- Northwestern University Transplant Outcomes Research Collaborative (NUTORC), Northwestern University
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Guan T, Zhang C, Zou X, Chen C, Zhou L, Wu X, Hao J. The Influence of Alcohol Consumption, Depressive Symptoms and Sleep Duration on Cognition: Results from the China Health and Retirement Longitudinal Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:12574. [PMID: 36231874 PMCID: PMC9566793 DOI: 10.3390/ijerph191912574] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Revised: 09/28/2022] [Accepted: 09/29/2022] [Indexed: 06/16/2023]
Abstract
AIM Healthy cognition-related factors include alcohol consumption, depressive symptoms, and sleep duration. However, less is known about the role of these factors in the dyad or tripartite relationships. In this study, we examined whether there were potential mediation effects, moderation effects, and interactions between these factors in the longitudinal study. METHODS Both cross-sectional data analysis and a longitudinal study were performed using baseline and 2018 data from the China Health and Retirement Longitudinal Study (CHARLS) cohort. CHARLS is a nationwide survey program covering 450 villages and 150 counties in 28 provinces that aims to investigate comprehensive demographic information. After selecting participants from the CHARLS cohort, 15,414 were included in the study. Non-drinkers, those who drink more than once a month, and those who drink less than once a month were defined by their alcohol consumption. Depressive symptoms were defined as nondepressed (less than or equal to 12) and depressed (more than 12). Sleep duration was defined as 7-8 h per night, ≤6 h per night, and ≥9 h per night. The total cognitive scores were calculated from memory, orientation, and executive tests. The PROCESS macro in SPSS was used to analyze all mediations and moderating mediations. RESULTS Alcohol consumption has a positive correlation with cognition. The global cognition z scores of participants with depressive symptoms were significantly lower than those of the control (all p's < 0.001), in different models. The memory score (β: -0.148; 95% CI: -0.240 to -0.056; p = 0.002), the executive score (β: -0.082; 95% CI: -0.157 to -0.006; p = 0.033), and the global cognition score (β: -0.105; 95% CI: -0.187 to -0.023; p = 0.012) of participants defined as ≤6 h per night were, obviously, less than the control (7-8 h per night). An association between depression and alcohol consumption has been found, and the protective effects have been reversed by depression, which caused the cognition decline. Sleep duration was identified as a moderator, influencing the relationship between depressive symptoms and cognitive function. Besides, there was an interaction causing cognition decline among alcohol consumption, depressive symptoms, and sleep duration. Cognitive function showed a marked downward trend with increasing age. CONCLUSIONS In this model, depression primarily mediates the relationship between alcohol consumption and cognition, and sleep duration changes the mediation effect. Furthermore, there is a significant interaction between alcohol consumption, depressive symptoms, and sleep duration, which are significantly associated with cognitive function.
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Affiliation(s)
- Tianyue Guan
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Chao Zhang
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Xuanmin Zou
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Chen Chen
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Li Zhou
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Xiaochang Wu
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
| | - Jiahu Hao
- Maternal, Child, and Adolescent Health Department, Anhui Medical University, Hefei 230032, China
- MOE Key Laboratory of Population Health Across Life Cycle, Hefei 230032, China
- Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei 230032, China
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6
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Chang Q, Lai D, Fu Y. Mechanisms connecting insomnia to hopelessness among Chinese older adults: Serial mediating roles of fatigue and social support. Int J Geriatr Psychiatry 2022; 37. [PMID: 35521653 DOI: 10.1002/gps.5720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Accepted: 04/20/2022] [Indexed: 11/09/2022]
Abstract
BACKGROUND Hopelessness and insomnia remain growing mental health issues worldwide, their relationship has been neglected by international development policies, especially in the countries with rapidly aging population like China. However, there is little conclusive evidence on the mechanisms through which insomnia severity influences hopelessness. Based on previous research regarding the significant associations among fatigue, social support, insomnia and hopelessness, this study aims to investigate the relationship between insomnia and hopelessness as well as how insomnia affects hopelessness through fatigue and social support. METHODS A population-based data including 946 community-dwelling older adults extracted from "Elderly Care Household Survey in 2019" in Beijing were used. The age of the participants ranged from 66 to 97 years old, and 53.3% of the respondents were female. Intercorrelations among insomnia, fatigue, social support and hopelessness were examined. Serial multiple mediation models were analyzed by the bootstrapping method to assess whether fatigue and social support serially mediate the relationship between insomnia and hopelessness. RESULTS Higher level of insomnia severity (coefficient = 0.0421, p < 0.001), higher level of fatigue (coefficient = 0.0171, p < 0.001), and lower level of social support (coefficient = -0.0320, p < 0.001) were significantly associated with higher level of hopelessness. Fatigue and social support in serial, mediated the relationship between insomnia and hopelessness (total effect: coefficient = 0.0623, 95% CI [0.0466, 0.0780]; total direct effect: coefficient = 0.0421, 95% CI [0.0262, 0.0581]; total indirect effect: coefficient = 0.0202, 95% CI [0.0147, 0.0272]). CONCLUSIONS Improving sleep quality and eliminating fatigue could effectively alleviate the sense of hopelessness among Chinese older adults. In addition, establishing stronger social support brought by social network from family and friends could confer resilience against the negative effects of despair brought by insomnia. Our findings highlighted the mechanism connecting insomnia to hopelessness, which would inspire the future practice.
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Affiliation(s)
- Qingsong Chang
- School of Sociology and Anthropology, Xiamen University, Xiamen City, China
| | - Dongpeng Lai
- School of Sociology and Anthropology, Xiamen University, Xiamen City, China
| | - Yuanyuan Fu
- School of Social Development and Public Policy, Beijing Normal University, Beijing City, China
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Qian D, Wong J. Sleep disturbances, sleep-disordered breathing, and cognitive impairment in older adults: perioperative implications. Int Anesthesiol Clin 2022; 60:20-26. [PMID: 35261342 DOI: 10.1097/aia.0000000000000359] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Affiliation(s)
- Dorothy Qian
- Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Jean Wong
- University Health Network, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada
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Zhang M, Chen B, Zhong X, Zhou H, Wang Q, Mai N, Wu Z, Chen X, Peng Q, Zhang S, Yang M, Lin G, Ning Y. Neuropsychiatric Symptoms Exacerbate the Cognitive Impairments in Patients With Late-Life Depression. Front Psychiatry 2021; 12:757003. [PMID: 34867543 PMCID: PMC8639522 DOI: 10.3389/fpsyt.2021.757003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2021] [Accepted: 10/21/2021] [Indexed: 12/27/2022] Open
Abstract
Background: Neuropsychiatric symptoms (NPS) and cognitive impairments are both common in patients with late-life depression (LLD). However, the relationship between NPS and cognitive functions in LLD patients remains unclear. The current study aims to explore the effects of NPS on cognitive impairments in LLD patients. Methods: Two hundred and sixty-two LLD patients and 141 normal controls (NC) were recruited. Exploratory factor analysis was used to extract factors from the Neuropsychiatric Inventory (NPI). Correlation, mediation, and moderation analyses were used to explore whether NPS exacerbated the cognitive impairments in LLD and whether NPS exhibited different effects on cognitive impairments in acute-state LLD (aLLD) and recovery-state LLD (rLLD). Results: Three main factors were extracted from the NPI, including emotional, behavioral, and psychotic factors. The patients with LLD exhibited worse cognition and higher NPI scores, and the scores of NPI-total and three extracted factors were negatively associated with cognitive scores. The mediation analyses exhibited that NPI-total and behavioral factor scores increase the difference in cognition scores between LLD and NC groups. The mediation analyses exhibited that behavioral factor score played a greater effect on impairing MMSE in the rLLD group than in the aLLD group. Additionally, behavioral factor score was in a trend to be negatively associated with Mini-Mental State Examination (MMSE) score changes at a one-year follow-up (p = 0.051). Conclusions: NPS, especially behavioral symptoms, exacerbate cognitive impairments in LLD and may contribute to residual cognitive impairment in rLLD patients. Early intervention for behavioral symptoms in LLD patients may be beneficial to their long-term clinical prognosis.
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Affiliation(s)
- Min Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Ben Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xiaomei Zhong
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Huarong Zhou
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qiang Wang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Naikeng Mai
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Zhangying Wu
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Xinru Chen
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Qi Peng
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Si Zhang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Minfeng Yang
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Gaohong Lin
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China
| | - Yuping Ning
- The Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou, China.,The First School of Clinical Medicine, Southern Medical University, Guangzhou, Guangdong, China.,Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China
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