Subgrouping Poor Sleep Quality in Community-Dwelling Older Adults with Latent Class Analysis - The Yilan Study, Taiwan

Background: Early detection of cognitive impairment and poor sleep quality are necessary to prevent dementia and the improve the quality of life further. This study aimed to investigate the cognitive impairment and poor sleep quality in the community-dwelling older adults and its association with socio-demographic and health characteristics. Methods: A cross-sectional study of 1,180 people in Northern Thailand aged 60 years and above was conducted in 2017. Mental State Examination-Thai version (MSET10) was used to measure cognitive function while the Pittsburgh Sleep Quality Index (PSQI) assessed sleep quality. Multiple logistic regression was used to analyze associations. Results: The prevalence of CI in older adults was 52.45% (95% CI: 49.64 - 55.42) which increased with age. The prevalence of poor sleep quality was 44.15% (95% CI: 1.29-47.03). Age, illiteracy, hypertension, comorbidities of hypertension and diabetes, alcohol consumption, lack of exercise, and depression were significantly associated with increased risk of CI, while being single, comorbidities of hypertension and diabetes, and depression were significantly associated with poor sleep quality. Conclusion: The rate of CI and poor sleep quality in older adults was relatively high in Thailand. Early detection of CI and poor sleep quality and screening for all risk factors are important to improve in access to service, optimization of medical management, reduction in risk factors, and increased quality of life in older adults.

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The Effect of Sleep Medication Use and Poor Sleep Quality on Risk of Falls in Community-Dwelling Older Adults in the US: A Prospective Cohort Study

Drugs & Aging ◽

10.1007/s40266-015-0339-9 ◽

2016 ◽

Vol 33 (2) ◽

pp. 151-158 ◽

Cited By ~ 11

Author(s):

Yaena Min ◽

Cynthia K. Kirkwood ◽

Darcy P. Mays ◽

Patricia W. Slattum

Keyword(s):

Older Adults ◽

Cohort Study ◽

Sleep Quality ◽

Medication Use ◽

Community Dwelling ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Us ◽

Risk Of Falls ◽

Community Dwelling Older Adults

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0837 Well-Being Predicts Sleep Disturbance in a Prospective Cohort of Older Adults

SLEEP ◽

10.1093/sleep/zsaa056.833 ◽

2020 ◽

Vol 43 (Supplement_1) ◽

pp. A319-A319

Author(s):

S D Hershner ◽

L M Swanson ◽

A Meng ◽

E C Jansen ◽

J F Burke ◽

...

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Sleep Duration ◽

Well Being ◽

Community Dwelling ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Logistic Regression Models ◽

The Mean ◽

Insomnia Symptoms

Abstract Introduction Lower well-being negatively impacts health among older adults. Optimal sleep - a determinant of health - has been associated with higher well-being. Several domains of well-being, e.g., mindfulness and purpose in life have been shown to improve sleep. But, whether well-being impacts sleep remains unclear. This study examined associations between well-being and sleep duration, sleep quality, and incident insomnia symptoms among a nationally representative sample of older US adults. Methods This study analyzed data from the 2011-2013 National Health and Aging Trends Study (NHATS), a longitudinal, annual survey of community-dwelling Medicare beneficiaries. The exposure, a validated scale of well-being used questions on purpose, emotion, and self-satisfaction and divided responses into quartiles. Sleep outcomes included sleep duration, sleep quality, and insomnia symptoms. Unadjusted and adjusted linear and logistic regression models examined relationships between the health characteristics and well-being score in 2012 and sleep outcomes in 2013. Covariates included demographics and health characteristics. Results Half of study participants (n=2,000) were women. The mean sleep duration was 7.2 and 7.3 (standard error(SE) ±0.1) for men and women. Poor sleep quality was reported by 30% of subjects and more frequently among Hispanic subjects, older adults, and those with less education. The mean well-being score was 17.2 (SE ±0.07). Higher well-being scores correlated with male gender, younger age, higher education, marriage, and increased physical activity. Well-being scores in the 2nd - 4th quartile had lower odds of poor sleep quality (4th quartile adjusted odd ratio 0.24 (95% CI 0.15, 0.38). The highest well-being quartile had a 4-fold lower incidence of insomnia symptoms. Well-being scores were not associated with sleep duration Conclusion Higher well-being may protect older adults against the development of insomnia and poor sleep quality. Strategies to improve well-being could offer an innovative way to improve the health of older Americans though better sleep. Support none

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Patterns of sleep quality during and after postacute rehabilitation in older adults: a latent class analysis approach

Journal of Sleep Research ◽

10.1111/jsr.12066 ◽

2013 ◽

Vol 22 (6) ◽

pp. 640-647 ◽

Cited By ~ 4

Author(s):

Jennifer L. Martin ◽

Joseph M. Dzierzewski ◽

Michael Mitchell ◽

Constance H. Fung ◽

Stella Jouldjian ◽

...

Keyword(s):

Older Adults ◽

Sleep Quality ◽

Latent Class Analysis ◽

Latent Class ◽

Analysis Approach ◽

Class Analysis

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Multidimensional dependency subgroups in community-dwelling older adults: A latent class analysis

Revista de la Universidad Industrial de Santander Salud ◽

10.18273/revsal.v52n2-2020004 ◽

2020 ◽

Vol 52 (2) ◽

pp. 101-109

Author(s):

Kely Rely ◽

Delfino Vargas-Chanes ◽

Carmen García-Peña ◽

Guillermo Salinas-Escudero ◽

Luis-Miguel Gutiérrez-Robledo ◽

...

Keyword(s):

Older Adults ◽

Latent Class Analysis ◽

Latent Class ◽

Community Dwelling ◽

Future Research ◽

Class Analysis ◽

Class Membership ◽

Fit Statistics ◽

Nationally Representative ◽

Using Data

Objectives: Use latent class analysis (LCA) to identify patterns of multidimensional dependency in a sample of older adults and assess sociodemographic, predictors of class membership. Material and methods: Longitudinal data were usedfrom the Mexican Health and Aging Study (MHAS). 7,920 older adults, 55% women, were recruited. LCA were used to identify meaningful subgroups. LCA was conducted using MPlus version. The final class model was chosen based on the comparison of multiple fit statistics and theoretical parsimony, with models of increasing complexity analyzed sequentially until the best fitting model was identified. Covariates were incorporated to explore the association between these variables and class membership. Results: Three classes groups based on the nine indicators were identified: “Active older adults” was comprised of 64% of the sample participants, “Relatively independent” and “Physically impaired” were comprised of 26% and 10% of the sample. The “Active older adults” profile comprised the majority of respondents who exhibited high endorsement rates across all criteria. The profiles of the “Active older adults” and “Relatively independent” were comparatively more uniform. Finally, respondents belonging to the “Physically impaired” profile, the smallest subgroup, encompassed the individuals most susceptible to a poor dependency profile. Conclusions: These findings highlighted the usefulness to adopt a person-centered approach rather than a variable-centered approach, suggesting directions for future research and tailored interventions approaches to older adults with particular characteristics. Based on patterns of multidimensional dependency, this study identified a typology of dependency using data from a large, nationally representative survey.

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Association Between Sleep and Motoric Cognitive Risk Syndrome Among Community-Dwelling Older Adults: Results From the China Health and Retirement Longitudinal Study

Frontiers in Aging Neuroscience ◽

10.3389/fnagi.2021.774167 ◽

2021 ◽

Vol 13 ◽

Author(s):

Weihao Xu ◽

Anying Bai ◽

Xin Huang ◽

Yinghui Gao ◽

Lin Liu

Keyword(s):

Older Adults ◽

Longitudinal Study ◽

Sleep Quality ◽

Sleep Duration ◽

Multivariate Logistic Regression Analysis ◽

Community Dwelling ◽

Poor Sleep ◽

Night Sleep ◽

Poor Sleep Quality ◽

Cognitive Risk

Background: Sleep is increasingly recognized as an important lifestyle contributor to health; however, its relationship with Motoric cognitive risk syndrome (MCR) is still unclear. The present study aimed to examine the associations between sleep duration, sleep quality, and MCR among community-dwelling Chinese older adults.Methods: We recruited 5,387 participants aged ≥60 years from the China Health and Retirement Longitudinal Study (CHARLS). Sleep-related variables including night sleep duration and sleep quality were assessed via self-reported questionnaires. MCR syndrome was defined as cognitive complaints and slow gait speed without dementia or impaired mobility. Multivariate logistic regression analysis was performed to explore the associations between sleep-related variables and MCR after controlling for all potential confounders including demographic characteristics, lifestyle factors, and comorbidities.Results: We found that sleep duration was significantly associated with MCR, and the multivariate-adjusted odds ratios (OR) were highest for those with the shortest (<6 h OR = 1.55, 95% CI = 1.18–2.04) and longest (≥10 h OR = 1.73, 95% CI = 1.03–2.91) sleep durations. Moreover, an increasing frequency of self-perceived poor sleep quality was significantly associated with MCR in the adjusted model (3–4 days OR = 1.58, 95% CI = 1.16–2.17; 5–7 days OR = 1.81, 95% CI = 1.37–2.40).Conclusions: Our study indicated an inverted U-shaped association between night sleep duration and MCR. Poor sleep quality was also associated with higher odds of MCR in community-dwelling Chinese elders. Longitudinal studies with a larger population size are needed to establish causality in the future and further explore potential action mechanisms.

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SLEEP QUALITY AND DEPRESSIVE SYMPTOMS IN LATER-LIFE: CROSS-SECTIONAL EXAMINATION OF COGNITIVE MECHANISMS

Innovation in Aging ◽

10.1093/geroni/igz038.3198 ◽

2019 ◽

Vol 3 (Supplement_1) ◽

pp. S872-S872

Author(s):

David Brush ◽

Daniel Paulson ◽

Manuel Herrera Legon ◽

Nicholas James ◽

Jennifer Scheurich ◽

...

Keyword(s):

Older Adults ◽

Depressive Symptoms ◽

Sleep Quality ◽

Inhibitory Control ◽

Depression Scale ◽

Later Life ◽

Community Dwelling ◽

Mediating Effect ◽

Poor Sleep ◽

Community Dwelling Older Adults

Abstract Sleep quality relates to depressive symptom endorsement. The mechanisms relating these variables are not clearly elucidated, though inhibitory control and rumination are believed to play key roles. The current study aims to elucidate the relationship between sleep quality and depressive symptoms by examining the moderated mediating effect of inhibitory control and rumination. The sample included 41 community-dwelling older adults (age 70 and older). Measures included the Pittsburg Sleep Quality Inventory, a Stroop task (inhibitory control), the Ruminative Responses Scale, and the Geriatric Depression Scale. A series of bootstrapped models were employed to test hypotheses using a stepped approach. Poorer sleep quality was associated with higher rumination and depressive symptoms; however, these associations were no longer significant among older adults with higher inhibitory control. The association between sleep quality and depression was fully attenuated by rumination, and inhibitory control significantly moderated the association between sleep quality and rumination in the final model. Among community-dwelling older adults, the association between sleep quality and depression is mediated by rumination, and this effect is mitigated by inhibitory control. As such, these findings suggest that inhibitory control may be a relevant target for intervention in older adults with poor sleep quality, rumination, and depressive symptoms.

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