scholarly journals A study on depression of the elderly with different sleep quality in pension institutions in Northeastern China

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jun Zhang ◽  
Yingying Zhang ◽  
Zhenggang Luan ◽  
Xiujie Zhang ◽  
Haoran Jiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Filial Piety ◽  
Depression Scale ◽  
The Elderly ◽  
Northeastern China ◽  
Poor Sleep ◽  
Elderly Adults ◽  
Chewing Ability ◽  
Good Sleep

Abstract Background China owns he largest aged population in the world, and the elderly adults who live in pension institutions are more likely to suffer from mental disorders than other elderly adults. The purpose of this study is to discover the risky factors of depression among nursing home residents with various sleeping quality. Methods We conducted a cross-sectional study in Northeastern China from May to September in 2017 using multistage sampling method and 507 elderly people without cognitive impairment in six pension institutions were interviewed. The Pittsburgh Sleep Quality Index (PSQI) and Geriatric Depression Scale (GDS) were adopted to collect the information of sleep quality and depression. We used logistic regression to analyze the factors influencing depression among the elderly adults with poor or good sleep quality. Results The overall depression rate among elderly adults was 21.7%. The logistic regression analysis revealed that marital status, chronic disease, regular exercise, physical ache, filial piety and chewing ability had significant effects on the depression of the elderly with good sleep quality. Loneliness, self-caring ability, chewing ability and chronic diseases had significant effects on depression of the elderly with poor sleep quality. Conclusion The prevalence of depressive symptoms in the elderly is not high. However, sleeping quality distinguishes root causes on elderly adults depression. Therefore, the risk factors of depression among elderly adults should be analyzed separately.

scholarly journals A study on depression of the elderly with different sleep quality in pension institutions in Northeastern China

2020 ◽  
Author(s):  
Jun Zhang ◽  
Yingying Zhang ◽  
Zhenggang Luan ◽  
Xiujie Zhang ◽  
Haoran Jiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Filial Piety ◽  
Depression Scale ◽  
The Elderly ◽  
Northeastern China ◽  
Poor Sleep ◽  
Elderly Adults ◽  
Chewing Ability ◽  
Good Sleep

Abstract Background: China owns he largest aged population in the world, and the elderly adults who live in pension institutions are more likely to suffer from mental disorders than other elderly adults. The purpose of this study is to discover the risky factors of depression among nursing home residents with various sleeping quality.Methods: We conducted a cross-sectional study in Northeastern China from May to September in 2017 using multistage sampling method and 507 elderly people without cognitive impairment in six pension institutions were interviewed. The Pittsburgh Sleep Quality Index (PSQI) and Geriatric Depression Scale (GDS) were adopted to collect the information of sleep quality and depression. We used logistic regression to analyze the factors influencing depression among the elderly adults with poor or good sleep quality.Results: The overall depression rate among elderly adults was 21.7%. The logistic regression analysis revealed that marital status, chronic disease, regular exercise, physical ache, filial piety and chewing ability had significant effects on the depression of the elderly with good sleep quality. Loneliness, self-caring ability, chewing ability and chronic diseases had significant effects on depression of the elderly with poor sleep quality. Conclusion: The prevalence of depressive symptoms in the elderly is not high. However, sleeping quality distinguishes root causes on elderly adults depression. Therefore, the risk factors of depression among elderly adults should be analyzed separately.

scholarly journals Depression and relevant influencing factors among elderly adults with different sleep quality in pension institutions in Northeastern China

2020 ◽  
Author(s):  
Jun Zhang ◽  
Yingying Zhang ◽  
Zhenggang Luan ◽  
Xiujie Zhang ◽  
Haoran Jiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Filial Piety ◽  
The Elderly ◽  
Northeastern China ◽  
Poor Sleep ◽  
Elderly Adults ◽  
Aged Population ◽  
Chewing Ability ◽  
Good Sleep

Abstract Background: China has the largest aged population in the world, and the elderly adults who live in pension institutions are more likely to suffer from mental disorders than other elderly adults. The current study aimed to explore the distribution of the depression among the aged population with different sleep conditions in pension institutions in Northeastern China.Methods: We conducted a cross-sectional study in Northeastern China from May to September 2017 using a multistage sampling method and 507 elderly people without cognitive impairment in six pension institutions were interviewed. The Pittsburgh Sleep Quality Index (PSQI) and Geriatric Depression Scale (GDS) were adopted to collected the information of sleep quality and depression. We used logistic regression to analyze the factors influencing depression among the elderly adults with poor or good sleep quality.Results: The overall depression rate among elderly adults was 21.7%. The logistic regression analysis revealed that marital status, chronic disease, regular exercise, physical pain, filial piety and chewing ability had significant effects on the depression of the elderly with good sleep quality. Loneliness, self-care ability, chewing ability and chronic diseases had significant effects on depression of the elderly with poor sleep quality. Conclusion: The prevalence of depressive symptoms in the elderly is not high. However, different factors influenced depression among elderly adults depending on their sleep quality. Therefore, the risk factors of depression among elderly adults should be analyzed separately.

scholarly journals Depression and relevant influencing factors among elderly adults with different sleep quality in pension institutions in Northeastern China

2019 ◽  
Author(s):  
Jun Zhang ◽  
Yingying Zhang ◽  
Zhenggang Luan ◽  
Xiujie Zhang ◽  
Haoran Jiang ◽  
...  
Keyword(s):  
Logistic Regression ◽  
Cognitive Function ◽  
Sleep Quality ◽  
Influencing Factors ◽  
Depression Scale ◽  
Northeastern China ◽  
Poor Sleep ◽  
Elderly Adults ◽  
Factors Influencing ◽  
Good Sleep

Abstract Objective This study aimed to assess depression among elderly adults with different sleep quality in pension institutions and to clarify its factors.Methods We conducted a cross-sectional study using a staged sampling method in six pension institutions located in Northeastern China from May to September 2017. Our study population comprised all elderly adults willing to participate in this study, who were not suffering from dementia and had lived in these pension institutions for six months or longer. All the participants were interviewed using a questionnaire that explored cognitive function, demographic characteristics, and factors influencing depression. The questionnaire also made use of the Pittsburgh Sleep Quality Index (PSQI) and Geriatric Depression Scale (GDS). After screening for cognitive function, we chose 507 elderly adults without cognitive defects as our participants. We used logistic regression to analyze the factors influencing depression among elderly adults with poor or good sleep quality.Results The overall depression rate among elderly adults was 21.7%. The depression rates among elderly adults with good and poor sleep quality were 12.3% and 31.1%, respectively. The logistic regression analysis revealed that, after adjustment for age, depression was significantly associated with multiple influencing factors only among elderly adults with good sleep quality.Conclusion The prevalence of depressive symptoms among elderly adults with different sleep quality in pension institutions in Northeastern China was insignificant. However, different factors influenced depression among elderly adults depending on their sleep quality. Therefore, the risk factors of depression among elderly adults should be analyzed separately.

PENGARUH TEKNIK RELAKSASI GUIDED IMAGERY TERHADAP KUALITAS TIDUR PADA LANSIA DI UPT PELAYANAN SOSIAL LANSIA BINJAI

2019 ◽  
Vol 4 (2) ◽  
pp. 39-48
Author(s):  
Indra P P ◽  
Linda F Tampubolon ◽  
Samani Ndruru
Keyword(s):  
Sleep Quality ◽  
Social Services ◽  
Guided Imagery ◽  
The Elderly ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Post Test ◽  
Good Sleep

Complaints about night-time sleep difficulties often occur among the elderly. Difficulties in sleep that affect the quality of sleep of elderly are still many elderly people often have woke up.Guided imageryis a non farmokologi therapy is often used to treat sleep disorders andcan is useful to reduce anxiety, pain and facilitate good sleep quality. Goals : This study aimed to determine the effect of guided imagery relaxation technique on quality of sleep in the elderly in social services UPT Elderly Binjai. Method : This research method using one-group pre-post test design test. The sampling technique is purposive sampling, with a sample of 20 respondents. Measuring instruments used PSQI questionnaire. Result : Analysis of the data shows the results of the sleep quality pre-test all elderly experience poor sleep quality (100%) and post-test were experiencing good sleep quality as much (10%) and poor sleep quality as much (90%). The results showed that guided imagery relaxation techniques affect the quality of sleep in elderly UPT Elderly Social services Binjai p = 0.001 (<0.05). Conculsion : Researchers suggest to the elderly in order to continue the selfguided imagery regularly.

scholarly journals Sleep disturbance among frontline nurses during the COVID-19 pandemic

2021 ◽  
Author(s):  
Mohammed Al Maqbali
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Sleep Disturbance ◽  
Depression Scale ◽  
Disease Outbreaks ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Poor Sleep ◽  
Poor Sleep Quality

AbstractThe main objective of this study is to assess the prevalence of sleep disturbance and related psychological factors (stress, anxiety and depression) among frontline nurses in Oman during the COVID-19 pandemic. A cross-sectional and descriptive correlational design using Qualtrics® software was used in this research. Data were collected using the Pittsburgh Sleep Quality Index (PSQI), the Hospital Anxiety and Depression Scale (HADS) and the Perceived Stress Scale (PSS). Logistic regression was performed to identify factors associated with poor sleep quality. Of the 987 frontline nurses who participated, 58.8% (n = 580) reported poor sleep quality. In an examination of PSQI components the mean sleep duration was 7.04 (SD = 1.59) hours per night, and the sleep latency mean was 38.18 min (SD = 31.81). Poor sleep (p < .05) was significantly associated with age, marital status, years of experience, comorbidity, and whether family members or relatives were suspected or confirmed with having COVID-19. Logistic regression showed that poor quality of sleep was significantly associated with stress, anxiety and depression symptoms. Sleep disturbance is a significant problem for frontline nurses working in Oman during the COVID-19 pandemic. Appropriate interventions to maintain the health conditions and reduce sleep disturbance among frontline nurses are needed in order to help support nurses’ work during contagious disease outbreaks. These can be implemented through online workshops and training to enhance nurses’ responses to the pandemic or to any further disease outbreaks.

scholarly journals Fatigue, anxiety, depression and sleep quality in patients undergoing haemodialysis

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Zakariya Al Naamani ◽  
Kevin Gormley ◽  
Helen Noble ◽  
Olinda Santin ◽  
Mohammed Al Maqbali
Keyword(s):  
Logistic Regression ◽  
Sleep Quality ◽  
Depression Scale ◽  
Anxiety And Depression ◽  
Poor Sleep ◽  
Hospital Anxiety ◽  
Cross Sectional ◽  
Correlational Design ◽  
Anxiety Depression

Abstract Objective Patients undergoing haemodialysis may experience troubling symptoms such as fatigue, anxiety, depression and sleep quality, which may affect their quality of life. The main objective of this study is to determine the prevalence of fatigue, anxiety, depression and sleep quality among patients receiving haemodialysis during the coronavirus disease 2019 (COVID-19) pandemic, and to explore the contributing predictors. Methods A cross-sectional and descriptive correlational design using Qualtrics software was performed. Data were collected using the Functional Assessment of Cancer Therapy-Fatigue (FACT-F), the Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression analyses were used to explore the predictors that were associated with fatigue, anxiety, depression and sleep quality. Results Of the 123 patients undergoing haemodialysis who participated, 53.7% (n = 66) reported fatigue, 43.9% (n = 54) reported anxiety, 33.3% (n = 41) reported depression and 56.9% (n = 70) reported poor sleep. Fatigue, anxiety and sleep quality (P < .05) were significantly associated with being female, and whether family members or relatives were suspected or confirmed with COVID-19. Logistic regression showed that being within the age group 31–40, having a secondary education level, anxiety, depression and sleep quality were the main predictors affecting the fatigue group. Conclusion Fatigue, anxiety, depression and sleep quality are significant problems for patients receiving haemodialysis during the COVID-19 pandemic. Appropriate interventions to monitor and reduce fatigue, psychological problems and sleep quality amongst these patients are needed. This can help to strengthen preparations for responding to possible future outbreaks or pandemics of infectious diseases for patients receiving haemodialysis.

scholarly journals The Relationship of Physical Activity and Sleep Quality Among Elderly Who Are Still Working

2021 ◽  
Vol 6 (2) ◽  
pp. 45
Author(s):  
Anita Tria Purnamasari ◽  
Elida Ulfiana ◽  
Andri Setya Wahyudi
Keyword(s):  
Physical Activity ◽  
Sleep Quality ◽  
The Elderly ◽  
Moderate Physical Activity ◽  
Poor Sleep ◽  
Short Sleep Duration ◽  
Cross Sectional ◽  
Significance Level ◽  
The Relationship ◽  
Good Sleep

Introduction: The elderly tend to have short sleep duration, resulting in poor sleep quality. Physical activity is believed can improved sleep quality. This study was aimed to explain the relationship between physical activity and sleep quality among the elderly who are still working.Method: This study used a correlational research design with a cross-sectional approach. There were 63 elderly who involved as respondents by using the simple random sampling technique. The independent variable of this research was physical activities, while the dependent variable was sleep quality. A questionnaire was used to collect data. Data were then analyzed by using the Chi-Square test with a significance level of p=0.05.Results: The study found that physical activity correlates with sleep quality among the elderly who are still working (p=0.021). The elderly with moderate physical activity has three times chance to have a good sleep quality (OR=3.667).Conclusion: Moderate physical activity correlates with good sleep quality. However, an increase in physical activity will worsen the sleep quality among the elderly. The elderly who are still working can reduce the intensity of their activity in the workplace.

142 Prenatal Sleep Quality and Infant Sleep: A Longitudinal Study

SLEEP ◽  
2021 ◽  
Vol 44 (Supplement_2) ◽  
pp. A58-A59
Author(s):  
Rebecca Burdayron ◽  
Marie-Helene Pennestri ◽  
Elizabeth Keys ◽  
Lianne Tomfohr-Madsen ◽  
Gerald Giesbrecht
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
Gestational Age ◽  
Sleep Onset ◽  
Depression Scale ◽  
Future Research ◽  
Poor Sleep ◽  
Infant Sleep ◽  
Maternal Sleep ◽  
Sleep Parameters

Abstract Introduction Poor sleep quality is common during pregnancy and can increase the risk of adverse obstetric and fetal outcomes. Existing research on the association between prenatal sleep and infant sleep is scarce and has focused on other aspects of prenatal sleep such as sleep duration, chronotype, and insomnia symptoms. To our knowledge, no studies have examined the association between prenatal sleep quality and infant sleep outcomes. Thus, this study aimed to investigate whether maternal sleep quality during pregnancy was prospectively associated with infant sleep dimensions, independent of relevant covariates. Methods Participants were a subset of 272 mother-infant dyads enrolled in an ongoing cohort study. Maternal prenatal sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) in early to mid- (M gestational age = 15.12 ± 3.56 weeks) and late- (M gestational age = 32.44 ± 0.99 weeks) pregnancy. Mothers completed the Brief Infant Sleep Questionnaire (BISQ) at 3, 6, and 12 months postpartum. The following infant sleep parameters were assessed: sleep duration (day, night, 24-hour), number of night awakenings, and wake after sleep onset. Prenatal depressive symptoms were assessed with the Edinburgh Postnatal Depression Scale (EPDS) at both pregnancy time points. Other covariates included maternal age at enrollment, infant age, parity, and co-sleeping status. Results Generalized estimating equations (GEE) models revealed that poorer maternal sleep quality during early-to-mid pregnancy did not significantly predict infant sleep parameters after adjustment for covariates (p &gt; .05). However, in late pregnancy, poorer maternal sleep quality significantly predicted shorter 24-hour sleep duration and longer wake after sleep onset, but not daytime sleep duration, nighttime sleep duration, and number of night awakenings (p &lt; .05). Conclusion Study findings advance our understanding of the prospective link between maternal prenatal sleep quality and infant sleep. Results indicate that maternal sleep quality during late gestation may play a role in the development of infant sleep patterns. These findings have important implications for intervention efforts targeting maternal sleep quality during pregnancy. Future research should use objective measures of sleep, such as actigraphy, to better elucidate the effects of prenatal sleep quality on infant sleep outcomes. Support (if any) The Canadian Institutes of Health Research (CIHR)

scholarly journals Sleep Duration and Sleep Quality as Predictors of Health in Elderly Individuals

2018 ◽  
Vol 10 (11) ◽  
pp. 3918 ◽  
Author(s):  
Lovro Štefan ◽  
Vlatko Vučetić ◽  
Goran Vrgoč ◽  
Goran Sporiš
Keyword(s):  
Sleep Quality ◽  
Sleep Duration ◽  
The Elderly ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Elderly Individuals ◽  
Self Rated Health ◽  
Study Participants

The main purpose of the present study was to explore the associations of sleep duration and sleep quality with self-rated health. In this cross-sectional study, participants were 894 elderly individuals. Self-rated health, sleep duration, and sleep quality were self-reported. The associations were examined using multiple logistic regression analyses.After adjusting for sex, physical activity, smoking consumption, alcohol consumption, psychological distress, socioeconomic status, and chronic disease/s, sleeping <6 h (OR (Odds ratio) = 3.21; 95% CI (95 percent confident interval) 1.61 to 6.39), 6–7 h (OR = 2.47; 95% CI 1.40 to 4.36), 8–9 h (OR = 3.26; 95% CI 1.82 to 5.83), and >9 h (OR = 3.62; 95% CI 1.57 to 8.34) and having ‘poor’ sleep quality (≥5 points; OR = 2.33; 95% CI 1.46 to 3.73) were associated with ‘poor’ self-rated health. When sleep duration and sleep quality were entered simultaneously into the model, the same associations remained. Our findings provide evidence that both ‘short’ and ‘long’ sleep and ‘poor’ sleep quality are associated with ‘poor’ self-rated health. Thus, interventions that promote healthy sleep hygiene in the elderly are warranted.

scholarly journals The influence of subjective sleep quality on the association between eveningness and depressive symptoms.

2018 ◽  
Author(s):  
Charlotte Mary Horne ◽  
Ray Norbury
Keyword(s):  
Depressive Symptoms ◽  
Sleep Quality ◽  
Mediation Analysis ◽  
Depression Scale ◽  
Well Being ◽  
Poor Sleep ◽  
Subjective Sleep Quality ◽  
Subjective Sleep ◽  
Increased Risk ◽  
Healthy Participants

Increasing evidence suggests that eveningness is associated with increased risk for depression. Eveningness, however, is also associated with poor sleep quality and the unique role of eveningness in depressive symptomatology remains to be elucidated. The goal of the current study, therefore, was to examine the inter-relationships between eveningness, subjective sleep quality and depressive symptoms in healthy participants free of current or previous depression and sleep disorder. Here, 167 healthy participants (mean age 24.16, 129/38 females/males) completed the reduced Morningness-Eveningness Questionnaire (rMEQ), the Pittsburgh Sleep Quality Index (PSQI) and the Centre for Epidemiological Studies Depression Scale (CES-D). Bootstrap mediation analysis for a simple mediation model including rMEQ, PSQI and CES-D was applied. Eveningness was associated with increased depressive symptoms and mediation analysis showed that this relationship was partly mediated by sleep quality. Our results suggest that indicators of depression observed in evening-type individuals cannot be attributed exclusively to disturbed sleep. We suggest that interventions that target both sleep quality and dysfunctionl cognitive styles would be optimal to promote well-being in evening-type individuals.

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