Comparison of Sleep Disturbances Between Older Nursing Home Residents in High- and Low-Altitude Areas

Liu, Shou; Chow, Ines H.I.; Lu, Li; Ren, Yan-ming; Yang, Huilian; Jian, Shengyan; Ng, Chee H.; Ungvári, Gábor S.; Wang, Fei; Xiang, Yu Tao

doi:10.1177/0891988719892335

Cited by 17 publications

(8 citation statements)

References 36 publications

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“…The prevalence of depression in older adults living in highaltitude (59.4%) was almost five times higher compared to those living in low-altitude regions (11.1%) in this study, which is consistent with the findings (52.3%) of a previous study conducted in Yushu, another city in Qinghai province (32,33). The significant difference in depression prevalence between high-and low-altitude regions remained even after controlling for covariates.…”

Section: Discussionsupporting

confidence: 91%

Prevalence of Depression in Older Nursing Home Residents in High and Low Altitude Regions: A Comparative Study

et al. 2021

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Objective: Depressive symptoms (depression hereafter) is common in older adults, and closely associated with environmental factors. This study compared the prevalence of depression in older adults living in high-altitude and low-altitude regions, and their association with quality of life (QOL).Method: A total of 632 older nursing home residents were included, with 425 participants living in low-altitude and 207 participants living in high-altitude regions. Depression and QOL were assessed using standardized instruments.Results: The prevalence of depression was 26.9% (95% CI: 23.43–30.37%) in the whole sample of older nursing home residents, with 11.1% (95% CI: 8.01–14.05%) in those living in low-altitude and 59.4% (95% CI: 52.68–66.17%) in those living in high-altitude regions. Multiple logistic regression analysis revealed that living in low-altitude region (P < 0.001, OR = 0.07, 95% CI: 0.04–0.12) was associated with lower risk of depression, while perception of poor health status (P < 0.001, OR = 3.86, 95% CI: 1.98–7.54) and having insomnia (P < 0.001, OR = 4.76, 95% CI: 2.99–7.56) were associated with higher risk of depression. QOL was significantly lower in physical (F(1,632) = 35.421, P < 0.001), psychological (F(1,632) = 20.777, P < 0.001), social (F(1,632) = 8.169, P < 0.001) and environmental domains (F(1,632) = 11.861, P < 0.001) in those with depression.Conclusion: Depression was common in older nursing home residents especially those living in the high-altitude region. Considering the negative impact of depression on QOL and functional outcomes, routine screening and timely treatment of depression should be implemented in this population.

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Section: Discussionsupporting

confidence: 91%

Prevalence of Depression in Older Nursing Home Residents in High and Low Altitude Regions: A Comparative Study

et al. 2021

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“…Specifically, poor sleep emerged as the most central symptom in the network. This finding is in line with previous studies suggests that poor sleep is common in older adults in high-altitude areas [ 15 , 41 ] and is associated with an increased risk of depression [ 15 ]. On the one hand, residents living in high-altitude areas have a risk of an apnea–hypopnea index and changed sleep structure [ 42 , 43 ], which may cause poor sleep in older adults; further, a study indicated that poor sleep directly affected individuals’ mood and emotion [ 44 ], which may be significant contributors to the development of depression.…”

Section: Discussionsupporting

confidence: 93%

“…On the other hand, older people experience some major life events with age, including retirement and bereavement, which may affect social activities and social networks [ 45 , 46 ] and subsequently lead to a lack of sleep [ 44 ]. Insufficient or poor sleep reduces life satisfaction [ 41 ], and thus increases vulnerability to depression in older adults.…”

Section: Discussionmentioning

confidence: 99%

Symptom Structure of Depression in Older Adults on the Qinghai–Tibet Plateau: A Network Analysis

Eli

Zhou

Chen

et al. 2022

IJERPH

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Previous studies have confirmed that depression among residents in high-altitude areas is more severe, and that depression may be more persistent and disabling in older adults. This study aims to identify the symptom structure of depression among older adults on the Qinghai–Tibet Plateau (the highest plateau in the world) from a network perspective. This cross-sectional study enrolled 507 older adults (ages 60–80 years old) from the Yushu Prefecture, which is on the Qinghai–Tibet Plateau, China. Depressive symptoms were self-reported using the shortened Center for Epidemiological Studies–Depression Scale (CES-D-10). Then, a Gaussian graphical model (GGM) of depression was developed. Poor sleep, fear, and hopelessness about the future exhibited high centrality in the network. The strongest edge connections emerged between unhappiness and hopelessness about the future, followed by hopelessness about the future and fear; hopelessness about the future and poor sleep; fear and unhappiness; and then poor sleep and unhappiness in the network. The findings of this current study add to the small body of literature on the network structure and complex relationships between depressive symptoms in older adults in high-altitude areas.

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“…Sleep disturbances in the past month were measured by asking the following questions (26): "Do you have difficulties in falling asleep at night (DIS)? "; "Do you have difficulties in maintaining sleep and wake up often (DMS)?…”

Section: Methodsmentioning

confidence: 99%

Sleep disturbance and quality of life among university freshmen in Qinghai–Tibet Plateau of China

Zhang

Ren

et al. 2022

Front. Psychiatry

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PurposeUniversity freshmen are particularly vulnerable as they are undergoing the transition from high school to university with a range of changes. Sleep problems among this group in the Qinghai–Tibet Plateau of China were barely studied. This study aimed to explore sleep disturbance, and its association with quality of life (QoL) and demographic and clinical characteristics among university freshmen in Qinghai–Tibet Plateau, China.MethodsA multistage stratified cluster random sampling method was performed to recruit student participants with a structured questionnaire to collect sociodemographic and clinical characteristics, and lifestyle behaviors. Sleep disturbance including three aspects of sleep disturbance (i.e., difficulty initiating sleep (DIS), difficulty maintaining sleep (DMS), and early morning awakening (EMA)) was assessed using standardized measurement. Multiple logistic regression models were applied to analyze the data.ResultsAmong included 2,769 freshmen, the prevalence of sleep disturbance was 14.8% (95% CI: 14.2–15.5%), and corresponding prevalence of DIS, DMS, and EMA was 8.2% (95% CI: 7.7–8.7%), 8.3% (95% CI: 7.8–8.8%), and 4.2% (95% CI: 3.8–4.6%), respectively. Freshmen with sleeping disturbance had significantly lower QoL in physical [F(1, 2769) = 60.23, p < 0.001], psychological [F(1, 2769) = 46.18, p < 0.001], social [F(1, 2769) = 23.04, p < 0.001], and environment [F(1, 2769) = 6.07, p = 0.01] domains. Multiple logistic regression analyses revealed that having breakfast five times a week or less (less than three times, OR = 1.79, 95% CI: 1.34–2.40; 3–5 times, OR = 1.40, 95% CI: 1.09–1.79), self-perceived severe Internet dependence (OR = 1.71, 95% CI: 1.11–2.65), self-perceived poor health status (OR = 3.44, 95% CI: 2.06–5.74), high academic stress (OR = 1.42, 95% CI: 1.13–1.78), poor relationship with classmates (OR = 3.44, 95% CI: 1.53–7.71), and severe ADHD symptoms (OR = 1.08, 95% CI: 1.05–1.12) were positively associated with sleeping disturbance.ConclusionSleep disturbance was common among freshmen and is associated with poorer QoL. Prevention and intervention strategies should be developed and implemented, especially among the vulnerable university freshman groups.

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Comparison of Sleep Disturbances Between Older Nursing Home Residents in High- and Low-Altitude Areas

Cited by 17 publications

References 36 publications

Prevalence of Depression in Older Nursing Home Residents in High and Low Altitude Regions: A Comparative Study

Prevalence of Depression in Older Nursing Home Residents in High and Low Altitude Regions: A Comparative Study

Symptom Structure of Depression in Older Adults on the Qinghai–Tibet Plateau: A Network Analysis

Sleep disturbance and quality of life among university freshmen in Qinghai–Tibet Plateau of China

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