scholarly journals Association between depression, anxiety, and stress with sleep quality in Indonesian people during the COVID-19 pandemic

2021 ◽  
Vol 7 (2) ◽  
pp. 58-66
Author(s):  
Teresa Mika Argo ◽  
Andree Kurniawan ◽  
Jean Andrina Liem ◽  
Jeremy Octavian Sugianto ◽  
Rafael Jonathan Michael ◽  
...  

Background: To prevent the spread of COVID-19, authorities implemented health protocols such as quarantine, large-scale social restrictions, and lockdowns. Data on the psychological effects and sleep quality as a result of these health protocols are still limited.Objective: This study was aimed to determine the association between depression, anxiety, and stress with sleep quality during the COVID-19 pandemic in Indonesia.Methods: An online survey was used to do a cross-sectional study among students in Indonesia. Sociodemographic information, including age, gender, religion, level of education, and regions, was analyzed. Levels of depression, anxiety, and stress were measured using the DASS-21 questionnaire. Sleep quality was determined using Pittsburgh Sleeping Quality Index (PSQI) questionnaire. Chi-square was used to evaluate the variables for bivariate analysis and logistic regression for multivariate analysis.Results: A total of 913 participants from across Indonesia included to this study. Adolescent (OR=0.367, 95% CI=0.199-0.679), female (OR=1.437, 95% CI=1.095-1.886), and high school students (OR= 0.737, 95% CI=0.544-0.999) had a higher risk for having poor sleep quality. In the multivariate analysis there were significant relationship between sleep quality with depression (Adjusted OR= 1.887, 95% CI=1.330-2.679), anxiety (Adjusted OR=1.731, 95% CI=1.221-2.455), stress (Adjusted OR= 2.577, 95% CI=1.617-4.107), use of sleeping medication (Adjusted OR=9.070, 95% CI=2.062-39.896) and age (Adjusted OR= 0.414, 95% CI= 0.205-0.837).Conclusion: There was an association between depression, anxiety, stress, consumption of sleeping medication, age, and poor sleep quality during the pandemic in Indonesia.

2020 ◽  
Author(s):  
Wisit Chaveepojnkamjorn ◽  
Jutiporn Srik ◽  
Pratana Satitvipawee ◽  
Supachai Pitikultang ◽  
Soontaree Khampeng

Abstract Background: Poor sleep quality (PSQ) is an increasing health problem and adolescents also constitute risk groups. Portable mobile and media devices have become a part of children’s lives and may affect their sleep duration and quality. This study aimed to explore the prevalence of PSQ and identify the association between media use and PSQ among adolescents studying in high school grades 10-12.Methods: This cross-sectional study was conducted in Ratchaburi Province. A multi-stage sampling technique was used to enroll 777 adolescents from 8 schools from August-October 2016. The research instruments comprised factors of demographics and consumption behaviors and the questionnaire of Pittsburgh Sleep Quality Index. Multivariable logistic regression was used to calculate adjusted odds ratios (ORadj) and 95% Confidence Intervals (CI).Results: Prevalence of PSQ was 56.24%. The study subjects were mostly 16-17 years old (67.82%) and female (70.39%). Multivariable logistic regression, after controlling for possible confounders, there was an increased odds of PSQ in those who used a social media device (OR=1.34, 95%CI=0.97-1.87), and it showed a higher proportion of social media use among PSQ group.Conclusions: The surveillance system of media use and PSQ should be conducted accompanied by knowledge sharing on media use among parents, teachers and adolescents. To determine causal relationships, further longitudinal studies will be required to test for the association between media users and PSQ. This study may also provide some implications for health promotion on sleep quality of senior high school students.


2021 ◽  
Vol 12 ◽  
Author(s):  
Yao Gao ◽  
Shan Wei ◽  
Fan Gao ◽  
Ling Gao ◽  
Liangjun Dang ◽  
...  

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.


2017 ◽  
Vol 33 (7) ◽  
pp. 343
Author(s):  
Siti Nurfadilah H ◽  
Madarina Julia ◽  
Riris Andono Ahmad

PurposeThe purpose of this study was to explore the relationship between physical activity and screen based activity with sleep patterns in adolescents.MethodsA cross-sectional study was conducted among junior high school students in August 2016. Samples were 536 respondents selected using stratified random sampling. Data were collected through interviews with a structured questionnaire, and measurements of height and waist circumference. Data analyses used chi-square, mann-whitney and logistic regression tests to explore factors associated with sleep pattern.ResultsOut off 536 respondents, poor sleep quality (34.5%) and short sleep duration (45.3%) happened among female adolescents. There was a significant correlation between screen based activity with sleep quality in adolescents. Physical activity had a significant relationship with sleep duration.ConclusionPhysical activity and SBA was associated with adolescent sleep patterns. Appropriate educational promotions by the Kulon Progo education authorities should be conducted to provide information about the importance of adequate sleep.


Author(s):  
Dalia M. Ismail ◽  
Dalia G. Mahran ◽  
Ali H Zarzour ◽  
Ghaydaa A. Sheahata

The objective of the recent study was to determine the prevalence of poor sleep quality and to assess its psychological and general health correlates among secondary school students in the city of Assiut, Egypt. A cross sectional study was conducted among 829 secondary school students (selected by multistage stratified random sampling) aged 15–19 years in Assiut. Students filled in a self-administered questionnaire that included demographic data, Pittsburgh Sleep Quality Index (PSQI), Epworth Sleepiness Scale, general perception of health, and the short form of Depression Anxiety and Stress Scale. The prevalence of poor sleep quality (PSQI >5) was 72.5%. The mean PSQI score was 7.35 ± 2.94 standard deviation. Poor sleep quality was higher among females, urban residents and public school students. Correlates of poor sleep by multivariate analysis were age, urban residence, public education, mild to moderate and severe to very severe anxiety symptoms, severe to very severe depressive symptoms, excessive daytime sleepiness, and feeling fully active sometimes and not active at any time. Poor sleep quality was alarmingly highly prevalent among secondary school students, with significant health consequences. Increasing the awareness of the community especially adolescents, parents, and school teachers about healthy sleep is an essential priority.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hongyan Wang ◽  
Xiaoling Dai ◽  
Zichuan Yao ◽  
Xianqing Zhu ◽  
Yunzhong Jiang ◽  
...  

Abstract Introduction To explore the prevalence of depressive symptoms and the associated risk factors in frontline nurses under COVID-19 pandemic. Methods This cross-sectional study was conducted from February 20, 2020 to March 20, 2020 and involved 562 frontline nurses. The effective response rate was 87.68%. After propensity score matched, there were 498 participants left. Extensive characteristics, including demographics, dietary habits, life-related factors, work-related factors, and psychological factors were collected based on a self-reported questionnaire. Specific scales measured the levels of sleep quality, physical activity, depressive symptoms, perceived organization support and psychological capital. Adjusted odds ratios and 95% confidence intervals were determined by binary paired logistic regression. Results Of the nurses enrolled in the study, 50.90% had depressive symptoms. Three independent risk factors were identified: poor sleep quality (OR = 1.608, 95% CI: 1.384–1.896), lower optimism of psychological capital (OR = 0.879, 95% CI: 0.805–0.960) and no visiting friend constantly (OR = 0.513, 95% CI: 0.286–0.920). Conclusions This study revealed a considerable high prevalence of depressive symptoms in frontline nurses during the COVID-19 outbreak, and identified three risk factors, which were poor sleep quality, lower optimism of psychological capital, and no visiting friend constantly. Protecting mental health of nurses is important for COVID-19 pandemic control and their wellbeing. These findings enrich the existing theoretical model of depression and demonstrated a critical need for additional strategies that could address the mental health in frontline nurses for policymakers.


2018 ◽  
Vol 10 (11) ◽  
pp. 3918 ◽  
Author(s):  
Lovro Štefan ◽  
Vlatko Vučetić ◽  
Goran Vrgoč ◽  
Goran Sporiš

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.


2021 ◽  
pp. 074823372110331
Author(s):  
Rehab Shehata Abdelhady Shehata ◽  
Zeinab Ahmed Mohamed Nour ◽  
Amul Mohamed Abdelrahim Badr ◽  
Eman Mahmoud Khalifa

Sleep disorders are prevalent occupational health problems among shift workers, especially healthcare workers with long shifts. Serotonin is a neurotransmitter related to circadian variations accompanied by shift work. A cross-sectional study was performed on 73 nurses at a tertiary hospital in Cairo, Egypt, to assess sleep quality among shift work nurses (SWNs), to determine blood serotonin level, and its relation to shift work and sleep quality. A demographic and occupational history questionnaire, Pittsburgh Sleep Quality Index (PSQI) questionnaire, and measurement of blood serotonin were carried out to the studied group. The data were analyzed using SPSS 25, and descriptive statistics, unpaired t-test, ANOVA, Kruskal–Wallis Test, Chi-square, Spearman correlation, and multivariate regression analysis were utilized. The results showed that the mean PSQI global score was significantly higher among SWNs than non-shift work nurses (NSWNs) and was the highest (10.32 ± 3.56 and 10.22 ± 2.4, respectively) among rotatory and fixed night shift nurses. Blood serotonin showed highly significant differences between SWNs over NSWNs ( p = 0.001), and mostly reduced among rotatory and fixed night shift nurses (66.7% and 65%, respectively). Moreover, there were highly significant differences in serotonin levels between poor and good sleep quality nurses ( p < 0.001), and most of the poor sleep quality nurses (62.7%) had low serotonin levels. Abnormal serotonin level (odds = 246.5) and working years (odds = 1.2) were statistically significant predictors of poor sleep quality. In conclusion, SWNs, especially rotating and night shift nurses, suffer from poor sleep quality associated with abnormal levels of blood serotonin.


2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon

OBJECTIVEAnalyzing the quality of sleep of hypertensive patients registered in the national registration system and monitoring of hypertensive patients.METHODSA cross-sectional study of quantitative and descriptive analyses with 280 hypertensive patients registered in the National Program of Hypertension and Diabetes of the Federal Government in the months from August to October 2011. Questionnaires were used which allowed for tracking sociodemographic data on hypertension and Pittsburgh Sleep Quality Index (PSQI).RESULTSThe prevalence of poor sleep quality among respondents (156 hypertensive patients) and high rates of using medication for sleeping (106 hypertensive patients) was observed. Other relevant data refers to the quality of sleep among hypertensive patients using sleep medication compared to those who do not use it (p≤0.01).CONCLUSIONIndividuals with high blood pressure have a negative association with sleep quality.


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