The Effect of Age in the Association between Frailty and Poor Sleep Quality: A Population-Based Study in Community-Dwellers (The Atahualpa Project)

2016 ◽  
Vol 17 (3) ◽  
pp. 269-271 ◽  
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera ◽  
Mark J. Sedler ◽  
Mauricio Zambrano ◽  
Johnathan L. Nieves ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Population Based ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Population Based Study ◽  
Atahualpa Project ◽  
Effect Of Age ◽  
Community Dwellers

scholarly journals Sex-Specific Difference in the Association Between Poor Sleep Quality and Abdominal Obesity in Rural Chinese: A Large Population-Based Study

2017 ◽  
Vol 13 (04) ◽  
pp. 565-574 ◽  
Author(s):  
Ru-Qing Liu ◽  
Zhengmin Qian ◽  
Si-Quan Wang ◽  
Michael G. Vaughn ◽  
Sarah Dee Geiger ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Abdominal Obesity ◽  
Large Population ◽  
Population Based ◽  
Poor Sleep ◽  
Specific Difference ◽  
Poor Sleep Quality ◽  
Population Based Study

scholarly journals Sleep Quality and Its Associated Factors among Low-Income Adults in a Rural Area of China: A Population-Based Study

2018 ◽  
Vol 15 (9) ◽  
pp. 2055 ◽  
Author(s):  
Wenwen Wu ◽  
Wenru Wang ◽  
Zhuangzhuang Dong ◽  
Yaofei Xie ◽  
Yaohua Gu ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Low Income ◽  
Rural Areas ◽  
Population Based ◽  
Poor Sleep ◽  
Chinese Adults ◽  
Poor Sleep Quality ◽  
Related Factors ◽  
Health Related ◽  
The Mean

Background: There is limited population-based research focusing on sleep quality among low-income Chinese adults in rural areas. This study aimed to assess sleep quality among low-income adults in a rural area in China and identify the association between sleep quality and sociodemographic, lifestyle and health-related factors. Methods: The study was conducted from September to November in 2017 using a cross-sectional survey questionnaire. A total of 6905 participants were recruited via multistage, stratified cluster sampling. Data were collected using the Chinese versions of Pittsburgh Sleep Quality Index and Food Frequency Questionnaire, while we also determined the sociodemographic profiles of the participants. Results: The mean age of the sample was 58.71 ± 14.50 years, with 59.7% being male, while the mean duration of daily sleep was 5.95 ± 1.31 h, with 56.7% reportedly experiencing poor sleep quality. Multiple regression analysis revealed that older age, unemployment, lower income, disability and chronic disease comorbidities were significant factors associated with an increased risk of poor sleep quality for both genders. Moreover, married and higher education level were associated with decreased risk of poor sleep quality for females, while a meat-heavy diet and illness during the past two weeks increased the risk of poor sleep quality for males. Conclusions: Sociodemographic, lifestyle and health-related factors had an impact on the frequently poor sleep quality of low-income Chinese adults in rural areas. Thus, comprehensive measures must be developed to address the modifiable predictive factors that can possibly enhance sleep quality.

scholarly journals The association between poor sleep quality and global cortical atrophy is related to age. Results from the Atahualpa Project

Sleep Science ◽  
2016 ◽  
Vol 9 (3) ◽  
pp. 147-150 ◽  
Author(s):  
Oscar H. Del Brutto ◽  
Robertino M. Mera ◽  
Mauricio Zambrano ◽  
Pablo R. Castillo
Keyword(s):  
Sleep Quality ◽  
Cortical Atrophy ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Atahualpa Project

scholarly journals Family Caregivers of People with Dementia Have Poor Sleep Quality: A Nationwide Population-Based Study

2021 ◽  
Vol 18 (24) ◽  
pp. 13079
Author(s):  
Min Ji Song ◽  
Ji Hyun Kim
Keyword(s):  
Sleep Quality ◽  
Family Caregivers ◽  
Sleep Disturbances ◽  
Population Based ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Dementia Caregiving ◽  
People With Dementia ◽  
Health Related ◽  
Logistic Regressions

Previous studies have documented cognitive impairments, psychological stress, and depressive symptoms in family caregivers of people with dementia (PWD), which could be attributed to their sleep disturbances. Notwithstanding the increasing recognition of poor sleep quality and sleep disturbances in family caregivers of PWD, their association has not been tested yet using population-representative samples. We conducted a retrospective, cross-sectional study using population-based data from the 2018 Korean Community Health Survey. Sociodemographic, mental health-related, and physical health-related variables as well as sleep quality evaluated by the Pittsburgh Sleep Quality Index (PSQI) were compared between 2537 cohabitating caregivers of PWD, 8864 noncohabitating caregivers of PWD, and 190,278 non-caregivers. Two sets of multivariable logistic regressions were conducted to examine the associations between dementia caregiving and poor sleep quality in cohabitating and noncohabitating caregivers versus noncaregivers. Both cohabitating and noncohabitating caregivers had higher global PSQI scores and higher prevalence of poor sleep quality (PSQI score > 5) than did noncaregivers. Multivariable logistic regressions adjusted for potential confounders revealed that cohabitating caregivers (odds ratio (OR) 1.26, 95% confidence interval (CI) 1.15–1.38) and noncohabitating caregivers (OR 1.15, CI 1.10–1.21) were significantly associated with poor sleep quality. Our results showed that both cohabitating and noncohabitating caregivers of PWD experienced overall poorer sleep quality compared to noncaregivers, indicating the deleterious effect of dementia caregiving on sleep quality, regardless of living arrangements. Given the high prevalence of poor sleep quality in family caregivers of PWD and the increasing awareness of the serious health consequences of poor-quality sleep, physicians should consider active sleep interventions to promote health and wellbeing not only for the dementia patients but also for family caregivers.

scholarly journals Sleep and risk of parkinsonism and Parkinson’s disease: a population-based study

Brain ◽  
2019 ◽  
Vol 142 (7) ◽  
pp. 2013-2022 ◽  
Author(s):  
Thom S Lysen ◽  
Sirwan K L Darweesh ◽  
M Kamran Ikram ◽  
Annemarie I Luik ◽  
M Arfan Ikram
Keyword(s):  
Parkinson’S Disease ◽  
Parkinson's Disease ◽  
Sleep Disturbances ◽  
Population Based ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Short Sleep Duration ◽  
Population Based Study ◽  
Short Sleep ◽  
Increased Risk

While specific sleep disorders are known to precede Parkinson’s disease, it remains unclear how sleep disturbances in the general population affect risk. Lysen et al. report that poor sleep quality and short sleep duration, and their deterioration over time, are associated with increased risk of parkinsonism, including Parkinson’s disease.

scholarly journals Sleep Disturbance is Associated With Higher Plasma Aβ Levels in Cognitively Normal Adults—A Population-Based Cross-Sectional Study

2021 ◽  
Vol 12 ◽  
Author(s):  
Yao Gao ◽  
Shan Wei ◽  
Fan Gao ◽  
Ling Gao ◽  
Liangjun Dang ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Disturbance ◽  
Amyloid Β ◽  
Population Based ◽  
Cross Sectional Study ◽  
Bivariate Analysis ◽  
Poor Sleep ◽  
Sectional Study ◽  
Poor Sleep Quality ◽  
Cross Sectional

Objective: Growing evidence suggests that sleep disturbance is a risk factor for Alzheimer's disease (AD). Amyloid-β (Aβ) deposition in the brain is a main pathophysiology of AD. Considering that peripheral Aβ level is associated with brain Aβ deposition, the present study investigated the relationship between sleep disturbance and plasma Aβ levels.Methods: This is a population-based cross-sectional study. A total of 1,459 participants from a village in the suburbs of Xi'an, China, were enrolled from January 3, 2017 to March 26, 2017. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI), and a PSQI score of <5 points was considered as good sleep quality and a PSQI score of >10 points as poor sleep quality. Cognitive function was assessed with the Mini-Mental State Examination (MMSE). Fasting venous blood was taken in the morning, and the plasma Aβ levels were measured using ELISA. The relationships between plasma Aβ levels and sleep quality were analyzed using multiple linear regression.Results: Among the participants, 231 had poor sleep quality (15.83%). The log-transformed Aβ40 level had significant differences among the different sleep groups (F = 3.216, p = 0.040). The log-transformed Aβ40 level was higher in the poor sleep quality group than that in the general sleep quality group [87.17 (73.42, 107.34) vs. 89.69 (74.81, 125.79) pg/ml, p = 0.016]. In bivariate analysis, sleep quality was negatively associated with the log-transformed plasma Aβ40 level (β = −0.025, p = 0.011).Conclusion: In the community population, poorer sleep quality is associated with a higher plasma Aβ40 level. This indicated that sleep disturbance might also involve in dysfunction of peripheral Aβ clearance.

scholarly journals Sleep Duration and Quality and Sensory Reactivity in School-Aged Children: The Spanish Cross-Sectional InProS Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Paula Fernández-Pires ◽  
Desirée Valera-Gran ◽  
Miriam Hurtado-Pomares ◽  
Cristina Espinosa-Sempere ◽  
Alicia Sánchez-Pérez ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Population Based ◽  
Low Energy ◽  
Poor Sleep ◽  
Tactile Sensitivity ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Sensory Reactivity ◽  
Children’S Sleep

Background: The relationship between children's sleep and health has been widely examined; however, research focused on the link between sleep and sensory reactivity in children without medical conditions is relatively new and based on studies with small samples. Hence, we aimed at exploring the association between sleep duration and quality and prevalence of sensory reactivity in a population-based sample of children aged 3–7.Methods: We examined data on 579 school-age children from the InProS project, a cross-sectional population-based study. Children's sleep duration was classified as <10 vs. ≥10 h/day, and sleep quality was measured using the Pediatric Sleep Questionnaire, defining poor quality sleep as a score of ≥0.33. The Short Sensory Profile (SSP) was used to classify children with or without sensory reactivity using the cut-off points proposed by W. Dunn for SSP total score and each SSP subscale. Prevalence ratios (PR) using Poisson multiple regression models with robust variance were estimated to examine main associations.Results: Around a third (32.6%; n = 189) slept <10 h/day and 10.4% presented poor sleep quality. The prevalence of sensory reactivity was 29.5% for total SSP (<155), 11.4% for tactile sensitivity (<30), 15% for taste/smell sensitivity (<15), 22.5% for movement sensitivity (<13), 49.1% for under-responsive/seeks sensation (<27), 44.4% for auditory filtering (<23), 12.4% for low energy/weak (<26), and 25.4% for visual/auditory sensitivity (<19). Main findings indicated that poor sleep quality was significantly associated with a greater prevalence of sensory reactivity for SSP total score (PR = 1.27; IC 95%: 1.18; 1.38), tactile sensitivity (PR = 1.09, IC95%: 1.00–1.19), taste/smell sensitivity (PR = 1.18, IC95%: 1.08–1.30), under-responsive/seeks sensation (PR = 1.28, IC95%: 1.20–1.37), auditory filtering (PR = 1.31, IC95%: 1.23–1.39), low energy/weak (PR = 1.14, IC95%: 1.04–1.25) and audiovisual sensitivity (PR = 1.15, IC95%: 1.05–1.26) scores after adjusting for potential confounders.Conclusions: In this study, we observed that poor sleep quality was statistically significantly associated with a higher prevalence of sensory reactivity as measured by the total SSP and almost all SSP subscales. To our knowledge, this is the first time that this association has been explored and reported. Further research from prospective studies is required to confirm these findings.

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