Non-linear associations between sleep duration and the risks of mild cognitive impairment/dementia and cognitive decline: a dose-response meta-analysis of observational studies

Mild cognitive impairment: To diagnose or not to diagnose

Older people living with mild cognitive impairment (MCI) have a slight but noticeable decline in their cognitive function, though do not meet the diagnostic criteria for dementia. MCI is controversial, with some saying it is a condition that does not require diagnosis, and others stating that it is a genuine clinical syndrome. Many people with MCI will improve, and most will not progress to dementia. Managing co-morbidities and exercising are likely to be the best treatment options. With limited evidence for effective interventions and uncertainty as to the prognostic value of the condition, the benefit of diagnosing MCI remains unclear.

Prospective associations between change in sleep duration and cognitive impairment: Findings from the Singapore Chinese Health Study

BACKGROUND

The relation of changes in sleep duration with risk of cognitive impairment are inconclusive. This study evaluated the prospective relationships of changes in sleep duration with risk of cognitive impairment in Singapore Chinese.

METHODS

We used data from 16,948 Chinese men and women who were aged 45-74 years at baseline (1993-1998) during recruitment into the Singapore Chinese Health Study cohort. Daily sleep duration was assessed at baseline, follow-up 2 (2006 to 2010) and follow-up 3 interviews (2014-2016). Cognitive function was evaluated with a Singapore-Modified Mini-Mental State Examination at follow-up 3 interviews when participants were 61-96 years old. Multivariable logistic regression models were used to calculate odd ratios (ORs) and 95% confidence intervals (95% CIs) for cognitive impairment.

RESULTS

Of the 16,948 participants, 14.4% were defined to have cognitive impairment. Compared with 7 h/day sleep at both baseline and follow-up 2, the OR (95% CI) for cognitive impairment was 1.50 (1.04-2.16) for those who maintained long sleep duration (≥9 h/day), 2.18 (1.37-3.45) for those who prolonged sleep from short duration (≤5 h/day) to long duration (≥9 h/day), and 1.55 (1.20-2.02) for those who prolonged sleep from recommended duration (7 h/day) to long duration. The highest risk was observed in those who shortened sleep from long to short duration (2.93, 1.35-6.34).

LIMITATIONS

Measures of sleep were self-reported.

CONCLUSIONS

Substantial changes in sleep duration over time were associated with higher risks of cognitive impairment. The findings underscore the importance of maintaining optimal sleep duration for the prevention of cognitive impairment.

Systemic inflammation as a moderator between sleep and incident dementia

STUDY OBJECTIVES

To determine whether C-reactive protein (CRP), a marker of systemic inflammation, moderates the association between sleep and incident dementia.

METHODS

We studied Framingham Heart Study participants who completed at baseline a serum CRP assessment and in-home polysomnography to measure sleep duration, sleep efficiency, sleep latency, wake after sleep onset (WASO), number of awakenings, arousal index, and apnea-hypopnea index. Participants were divided into groups according to their CRP level: low (<1 mg/L), average (1-3 mg/L), and high inflammation (>3 mg/L). Surveillance for outcomes (incident all-cause and Alzheimer's disease [AD] dementia) commenced at baseline and continued up to 22.5 years.

RESULTS

In 291 participants (mean age 67.5 ± 4.9 years, 51.6% men) followed for 13.4 ± 5.4 years, we observed 43 cases of all-cause dementia, 33 of which were clinically consistent with AD. Whereas no direct association between CRP or sleep exposures was observed with incident dementia, CRP levels interacted with nighttime wakefulness when predicting both incident all-cause and AD dementia. In the high CRP group, longer WASO (hazard ratio [HR], 2.89; 95% CI, 1.31-6.34) and more nighttime awakenings (HR, 4.55; 95% CI, 1.19-17.38) were associated with higher risk of incident dementia. In the low CRP group, fewer nighttime awakenings were associated with a higher risk of incident dementia (HR, 0.07; 95% CI, 0.01-0.68).

CONCLUSIONS

Our findings suggest that inflammation moderates the association between sleep, particularly nighttime wakefulness, and dementia risk. The presence of inflammation may be an important determinant in evaluating how sleep disturbances relate to neurodegeneration.

Sleep Characteristics and Cerebrospinal Fluid Progranulin in Older Adults: The CABLE Study

Cerebrospinal fluid (CSF) progranulin (PGRN) is related to various neurodegeneration diseases. And sleep problems can cause abnormality in protein metabolism in vivo. We aim to explore the potential associations between the self-reported sleep characteristics and CSF PGRN in cognitively intact older adults. Our study recruited 747 participants (mean (standard deviation (SD)) age, 61.99 (10.52) years, 329 (42.89%) females) who had normal cognition from the Chinese Alzheimer's Biomarker and LifestylE (CABLE) study with CSF PGRN and sleep characteristics measured. The multiple linear regression and nonlinear regression adjusted for age, gender, education, and apolipoprotein E-epsilon 4 gene (APOE4) status were used to assess the associations between sleep characteristics and PGRN. Interaction effects were explored between APOE4 status and sleep characteristics on CSF PGRN level. Sleep disturbances indicated lower CSF PGRN (β = - 0.0186, p = 0.0160). For detailed items in sleep disturbances, lower CSF PGRN was found in males who woke up during sleep (β = - 0.0121, p = 0.0062) and in females who had breathing difficulties (β = - 0.0258, p = 0.0271). Meanwhile, sleep efficiency was associated with CSF PGRN (β = - 0.0512, p = 0.0497). No significant interaction effects between sleep characteristics and APOE4 status were found. Meanwhile, we did not find a nonlinear relationship between nocturnal sleep duration and CSF PGRN. Sleep problems may influence the metabolism of PGRN, thus attenuating the protective effects of PGRN on neurodegeneration diseases.

Age- and Sex-Specific Prevalence and Modifiable Risk Factors of Mild Cognitive Impairment Among Older Adults in China: A Population-Based Observational Study

Background

Minimal data are available on the prevalence of mild cognitive impairment (MCI) in older Chinese adults. Moreover, the current information on MCI shows important geographical variations.

Objective

We aimed to assess the prevalence and risk factors for MCI by age and sex among older adults in a North Chinese population.

Methods

In this population-based cross-sectional study, we enrolled a random sample of 4,943 adults aged ≥ 60 years between March 2018 and June 2019 in Tianjin, China. Of these, 312 individuals were excluded due to a lack of data (e.g., fasting blood test). As a result, 4,631 subjects were assessed. Individuals with MCI were identified using neuropsychological assessments, including the Mini-Mental State Examination and Activities of Daily Living scale, based on a modified version of the Petersen’s criteria.

Results

The mean (SD) age of the 4,631 participants was 67.6 (4.89) years, and 2,579 (55.7%) were female. The overall age- and sex-standardized prevalence of MCI in our study population was 10.7%. There were significant associations of MCI with age [65–69 vs. 60–64 years, OR = 0.74; 95% confidence interval (CI): 0.58, 0.96], physical activity (≥23.0 vs. <23.0 MET-hours/week, OR = 0.79; 95% CI: 0.64, 0.96), body mass index (BMI) (OR = 0.92; 95% CI: 0.89, 0.95), grip strength (OR = 0.50; 95% CI: 0.38, 0.67), hypertension (yes vs. no, OR = 1.44; 95% CI: 1.18, 1.77), higher levels of sleepiness (OR = 1.80; 95% CI: 1.36, 2.37), and longer sleep duration (OR = 1.40; 95% CI: 1.14, 1.72). The inverse association between BMI and MCI was stronger in older age groups (P for heterogeneity = 0.003). Moreover, the magnitude of association between triglycerides and MCI was different between the sexes (P for heterogeneity = 0.029).

Conclusion

The age- and sex-standardized prevalence of MCI was 10.7% in the study sample. Physical activity, BMI, grip strength, sleepiness, sleep duration, and hypertension were associated with the prevalence of MCI. Additionally, triglycerides and BMI might be differently associated with the presence of MCI for different sexes and age stages, respectively.

Short sleep duration and high exposure to quick returns are associated with impaired everyday memory in shift workers

PURPOSE

To investigate the relationship between self-reported everyday memory problems the last month, and: (a) shift work schedule, (b) night shifts and quick returns worked the last year, and (c) sleep duration the last month.

METHODS

In all, 1,275 nurses completed the Everyday Memory Questionnaire - revised, and answered questions about shift work exposure and sleep duration. We performed multiple linear regression analyses with memory score as dependent variable, and the shift work exposure variables as well as sleep duration as predictors, while adjusting for potential confounders.

FINDINGS

High exposure to quick returns (β = .10, p < .05) and short sleep duration (β = .10, p < .05) were both positively associated with memory problems, whereas shift work schedule, long sleep duration, night shift exposure, and low and moderate exposure to quick returns were not.

DISCUSSION

Frequent insufficient time for rest between shifts as well as short sleep was associated with poorer everyday memory.

Self-reported poor sleep on multiple dimensions is associated with higher total health care costs in older men

STUDY OBJECTIVES

To estimate the association of self-reported poor sleep in multiple dimensions with health care costs in older men.

METHODS

Participants were 1,413 men (mean [SD] age 76.5 [5.7] years) enrolled in both the Outcomes of Sleep Disorders in Older Men (MrOS Sleep) study and Medicare Fee-for-Service. Poor sleep was characterized at the baseline MrOS Sleep visit on five dimensions (satisfaction, daytime sleepiness, timing, latency, and duration). Health care costs and utilization were ascertained over 3 years of follow-up using Medicare Claims.

RESULTS

Median (interquartile range [IQR]) annualized total health care costs (2018 US dollars) rose from $3,616 (IQR 1,523-7,875) for those with no impaired sleep dimensions to $4,416 (IQR 1,854-11,343) for men with two impaired sleep dimensions and $5,819 (IQR 1,936-15,569) for those with at least three impaired sleep dimensions. After multivariable adjustment, the ratio of total health care costs (CR) was significantly higher for men with two (1.24, 95% confidence interval [CI] 1.03- to 1.48) and men with at least three impaired sleep dimensions (1.78, 95% CI 1.42 to 2.23) vs. those with no impaired sleep dimensions. After excluding 101 men who died during the 3-year follow-up period, these associations were attenuated and not significant (CR 1.22, 95% CI 0.98 to 1.53 for men ≥3 impaired sleep dimensions vs. none).

CONCLUSIONS

Self-reported poor sleep on multiple dimensions is associated with higher subsequent total health care costs in older men, but this may be due to higher mortality and increased health care costs toward the end of life among those with poor sleep health.

Sleep characteristics and cerebrospinal fluid biomarkers of Alzheimer's disease pathology in cognitively intact older adults: The CABLE study

INTRODUCTION

This study tested the self-reported sleep characteristics associated with cerebrospinal fluid (CSF) Alzheimer's disease (AD) biomarkers in cognitively intact older adults.

METHODS

The linear and non-linear regression analyses were conducted in 736 cognitively normal participants (mean [standard deviation; SD] age, 62.3 [10.5] years, range 40 to 88 years, 59% female) who had measurements of cerebrospinal fluid (CSF) amyloid beta (Aβ) and tTau proteins and sleep characteristics, after adjusting for age, gender, education, apolipoprotein E gene (APOE) ε4 status, and general cognition.

RESULTS

Greater daytime sleepiness was associated with higher CSF indicators of amyloid deposition in female patients. No significant associations were revealed for CSF tTau proteins after Bonferroni correction. A U-shaped relationship was revealed for nocturnal sleep habits, such that those with insufficient or excessive nocturnal sleep duration had greater CSF biomarkers of amyloid deposition (the reflection range: bedtime: around 10:00 p.m. and sleep duration: 6.0 to 6.5 hours).

DISCUSSION

These findings consolidated the close relationship between sleep and AD.

Sleep problems and risk of all-cause cognitive decline or dementia: an updated systematic review and meta-analysis

OBJECTIVES

To conduct an updated systematic review and meta-analysis of association between sleep and all-cause cognitive disorders.

METHODS

PubMed and EMBASE were searched from inception to 18 February 2019. Cohort studies exploring longitudinal associations of sleep with cognitive decline or dementia were included. The multivariable-adjusted effect estimates were pooled by random-effects models, with credibility assessment. The robust error meta-regression model was used to conduct the dose-response meta-analysis for sleep duration.

RESULTS

11 155 reports were searched and 51 eligible cohorts with 15 sleep problems were included for our meta-analyses. Ten types of sleep conditions or parameters, including six (insomnia, fragmentation, daytime dysfunction, prolonged latency, rapid eye movement sleep behaviour disorder and excessive time in bed) with moderate-to-high levels of evidence, were linked to higher risk of all-cause cognitive disorders. Furthermore, a U-shaped relationship was revealed for the associations with sleep duration.

CONCLUSIONS

Sleep management might serve as a promising target for dementia prevention.

Changes in sleep duration and 3-year risk of mild cognitive impairment in Chinese older adults

Objective: This study aimed to determine whether changes in sleep duration are associated with a higher risk of mild cognitive impairment (MCI) in older adults.

Results: By the 3-year follow-up, 592 participants developed MCI. Compared with the individuals who had an unchanged sleep duration, the odds ratio (95% confidence interval) for MCI was 1.44 (1.08-1.91) for those whose sleep duration increased by ≥2 h after multivariate adjustments. Moreover, changing from a long to moderate, but not short, sleep duration was negatively associated with the incidence of MCI (odds ratio: 0.65; 95% confidence interval, 0.45-0.93).

Conclusions: These findings suggest that increased sleep duration is associated with a higher risk of MCI in the elderly. Furthermore, a moderate duration of sleep (6-9 h) could serve as a possible strategy for prevention of MCI.

Methods: This longitudinal study was conducted with a nationally representative sample of 5419 older Chinese adults (≥65 years) from the 2008 and 2011 waves of the Chinese Longitudinal Healthy Longevity Survey. Sleep duration was assessed by a self-administered questionnaire. MCI was defined according to the Mini-Mental State Examination. An adjusted logistic regression model was used to explore the associations between changes in sleep duration and MCI.

Sleep Duration and the Risk of Dementia: A Systematic Review and Meta-analysis of Prospective Cohort Studies

OBJECTIVE

Epidemiologic studies have reported inconsistent findings about the association between sleep duration and the risk of dementia. We aimed to clarify this association by method of meta-analysis.

DESIGN

Systematic review and meta-analysis of prospective cohort studies.

SETTING AND PARTICIPANTS

Community or clinical settings. Participants included patients with dementia or Alzheimer's disease and the general population.

MEASURES

We systematically searched the PubMed, EMBASE, and Web of Science for prospective cohort studies investigating the association between sleep duration and all-cause dementia or Alzheimer's disease (AD). Generic inverse-variance method was used to combine the outcomes with a random effects model for the association between sleep duration (short or long vs normal) and all-cause dementia or AD.

RESULTS

We identified 7 studies for all-cause dementia and 6 studies for AD. Pooled analyses showed that long sleep duration was associated with a 77% increased risk of all-cause dementia [hazard ratio (HR) = 1.77, 95% confidence interval (CI) = 1.32-2.37] and a 63% increased risk of AD (HR = 1.63, 95% CI = 1.24-2.13). Short sleep duration was not statistically associated with an increased risk of all-cause dementia (HR = 1.20, 95% CI = 0.91-1.59) or AD (HR = 1.18, 95% CI = 0.91-1.54).

CONCLUSIONS AND IMPLICATIONS

Only long sleep duration is significantly associated with an increased risk of all-dementia and AD. Future studies are needed to better understand the mechanisms underlying this association.

Association between sleep duration and attention-deficit hyperactivity disorder: A systematic review and meta-analysis of observational studies✰

BACKGROUND

Several previous meta-analyses have investigated the association between sleep quality and attention-deficit/hyperactivity disorder (ADHD). To examine the relationship between short or long sleep duration and ADHD, a meta-analysis of observational studies was conducted.

METHODS

The PubMed, EMBASE, and Cochrane Library databases were systematically searched in March 2019 to retrieve observational studies. A random-effects model was used to analyze meta-estimates of sleep duration. Three evaluators independently reviewed and selected the articles based on pre-determined selection criteria.

RESULTS

Of 1466 articles retrieved, 10 observational epidemiological studies, comprising six case-control studies and four prospective cohort studies, were included in the final analysis. Short sleep duration was significantly linked to ADHD compared with average sleep duration (odds ratio [OR] or relative risk [RR] 1.28 [95% confidence interval (CI) 1.16-1.41]), and especially with hyperactivity (OR/RR 1.60 [95% CI 1.18-2.17]). Subgroup meta-analyses according to various factors, such as study design, number of participants, methodological quality, and adjustment for smoking status and education, yielded consistent results. A significant association between long sleep duration and ADHD was not observed.

LIMITATIONS

Publication bias and substantial heterogeneity due to the diverse measurement tools used to determine ADHD were observed. Lack of prospective cohort studies was another limitation.

CONCLUSION

Short sleep duration was associated with ADHD in the current meta-analysis. Clinicians may need to be more aware of this association.

Excessive daytime sleepiness and topographic expansion of Lewy pathology

OBJECTIVE

While excessive daytime sleepiness (EDS) can predate the clinical diagnosis of Parkinson disease (PD), associations with underlying PD pathogenesis are unknown. Our objective is to determine if EDS is related to brain Lewy pathology (LP), a marker of PD pathogenesis, using clinical assessments of EDS with postmortem follow-up.

METHODS

Identification of LP was based on staining for α-synuclein in multiple brain regions in a sample of 211 men. Data on EDS were collected at clinical examinations from 1991 to 1999 when participants were aged 72-97 years.

RESULTS

Although EDS was more common in the presence vs absence of LP (p = 0.034), the association became stronger in neocortical regions. When LP was limited to the olfactory bulb, brainstem, and basal forebrain (Braak stages 1-4), frequency of EDS was 10% (4/40) vs 17.5% (20/114) in decedents without LP (p = 0.258). In contrast, compared to the absence of LP, EDS frequency doubled (36.7% [11/30], p = 0.023) when LP reached the anterior cingulate gyrus, insula mesocortex, and midfrontal, midtemporal, and inferior parietal neocortex (Braak stage 5). With further infiltration into the primary motor and sensory neocortices (Braak stage 6), EDS frequency increased threefold (51.9% [14/27], p < 0.001). Findings were similar across sleep-related features and persisted after adjustment for age and other covariates, including the removal of PD and dementia with Lewy bodies.

CONCLUSIONS

The association between EDS and PD includes relationships with extensive topographic LP expansion. The neocortex could be especially vulnerable to adverse relationships between sleep disorders and aggregation of misfolded α-synuclein and LP formation.

From mind to molecules and back to mind-Metatheoretical limits and options for systems neuropsychiatry

Psychiatric illnesses like dementia are increasingly relevant for public health affairs. Neurobiology promises progress in diagnosis and treatment of these illnesses and exhibits a rapid increase of knowledge by new neurotechnologies. In order to find generic patterns in huge neurobiological data sets and by exploring formal brain models, non-linear science offers many examples of fruitful insights into the complex dynamics of neuronal information processing. However, it should be minded that neurobiology neither can bridge the explanatory gap between brain and mind nor can substitute psychological and psychiatric categories and knowledge. For instance, volition is impaired in many mental disorders. In experimental setups, a "preactional" brain potential was discovered that occurs 0.5 s before a consciously evoked motor action. Neglecting the specific experimental conditions, this finding was over-interpreted as the empirical falsification of the philosophical (!) concept of "free volition/will." In contrast, the psychology of volition works with models that are composed of several stage-related hierarchically nested mental process cycles that were never tested in obviously "theory-free" neurobiology. As currently neurobiology shows a network turn (or systemic turn), this is one good reason to enhance systemic approaches in theoretical psychology, independently from neurobiology that still lacks "theory." Cybernetic control loop models and system models should be integrated and elaborated and in turn could give new impulses to neuropsychology and neuropsychiatry that conceptually can more easily connect to a network-oriented neurobiology. In this program, the conceptual background of nonlinear science is essential to bridge gaps between neurobiology and psychiatry, defining a real "theoretical" field of neuropsychiatry.