Prevalence and determinants of poor quality of sleep among adolescents in rural Puducherry, South India

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Gokul Sarveswaran ◽  
Kalaiselvy Arikrishnan ◽  
Yuvaraj Krishnamoorthy ◽  
Manikandanesan Sakthivel ◽  
Marie Gilbert Majella ◽  
...  
Keyword(s):  
Sleep Quality ◽  
Educational Level ◽  
Economic Status ◽  
Prevalence Ratio ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Socio Economic Status

Abstract Background Adolescence is a critical stage of life which is characterized by rapid biological, social and emotional development. India has the highest adolescent population, however, there is paucity of literature reporting the sleep quality among adolescents. Objective To determine the sleep quality and its associated factors among adolescents residing in selected villages of rural Puducherry. Materials and methods A community-based cross-sectional study was conducted among adolescents during March and April 2018. Two out of four villages were randomly selected and all the adolescents were contacted through a household visit and a questionnaire was administered. The semi-structured questionnaire contained socio-demographic details of adolescents and details on living environment. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) scale. Sleep quality is expressed as a proportion with a 95% confidence interval (CI). The association of socio-demographic characteristics with poor sleep quality is reported as a prevalence ratio. Results The total number of adolescents interviewed was 789. The mean age of the study participants was 14.1 (±2.4) years and the majority, 440 (55.8%) were boys and 684 (86.7%) belonged to a nuclear family. More than a quarter, 210 (26.6%) belonged to the middle class as regards socio-economic status. Environmental assessment of households showed more than half, 456 (57.8%) were staying in a “pucca” house and the majority, 642 (81.4%) had adequate cross ventilation. The prevalence of poor quality of sleep among the adolescents was 2.5% (95% CI: 1.6%–3.9%). It was found that higher educational level [adjusted prevalence ratio (aPR) – 3.43] and belonging to higher socio-economic class (aPR – 5.48) were found to be significant determinants for poor quality of sleep among adolescents. Conclusion The current study found that only 2.5% of the adolescents have poor sleep quality. Adolescents with higher educational level and higher socio-economic status were more prone to have poor quality of sleep.

scholarly journals Pattern of WhatsApp and Facebook usage and its impact on sleep quality among nursing students in Pondicherry

2021 ◽  
Author(s):  
Karthikraja Chandramoorthy ◽  
Prahankumar Rajendran ◽  
Ariarathinam Newtonraj ◽  
Rajalakshmi Rajamanickam ◽  
Anil J. Purty
Keyword(s):  
Nursing Students ◽  
Sleep Quality ◽  
Mobile Phone ◽  
Statistical Significance ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Facebook Usage

Background: Usage of social networking sites like WhatsApp and Facebook in smartphones has become a basic necessity in today’s life, especially among college students. However, the excess usage of mobile phone affects sleep quality and attention span. Nursing students are prone to sleep disturbance due to their academics and work pattern. The aim of the study was to assess the pattern of WhatsApp and Facebook usage among nursing students and its impact on their sleep quality.Methods: A cross-sectional study was conducted among 168 nursing students of a nursing college in Puducherry. Participants were explained about the purpose of study and written informed consent was obtained. Data was collected using a self-administered questionnaire. Sleep quality was assessed using PSQI scale. Institutional ethics committee approval was obtained for the study. The data was entered in Microsoft Excel and analyzed using STATA 14.Results: Among the study participants, most of them prefer WhatsApp over Facebook. Almost 40% of the students had poor quality of sleep. There was statistically significant association between usage of WhatsApp while feeling sleepy, while having food and poor quality of sleep. However, the adjusted prevalence ratio of poor sleep quality did not show statistical significance.  Conclusions: The current study showed statistical significance between certain pattern of WhatsApp usage leading to poor sleep quality among nursing students. Thus, corrective measures have to be implemented to moderate the mobile phone usage and improve the sleep quality of nursing students.

scholarly journals Quality of sleep and hypertension in adolescents

2017 ◽  
Vol 56 (5) ◽  
pp. 272 ◽  
Author(s):  
Arie Taufansyah P. Nasution ◽  
Rafita Ramayati ◽  
Sri Sofyani ◽  
Oke RRna Ramayani ◽  
Rosmayanti Siregar
Keyword(s):  
Blood Pressure ◽  
Sleep Quality ◽  
Later Life ◽  
Cross Sectional Study ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional

Background Adolescents with hypertension are at risk of morbidity and mortality due to cardiovascular problems in later life. Hypertension may be influenced by poor quality of sleep, so early detection of hypertension and ensuring good quality of sleep in adolescence is needed.Objective To assess for a possible association between poor sleep quality and hypertension in adolescents.Methods We conducted a cross-sectional study from January to March 2013 in Mustafawiyah Boarding School, Mandailing Natal, North Sumatera. Subjects’ quality of sleep was assessed by the Pittsburgh Sleep Quality Index (PSQI) questionnaire and their systolic and diastolic blood pressures were measured. Quality of sleep was categorized as either good or poor. Blood pressure was categorized as either normotensive or hypertensive. An association between poor sleep quality and hypertension was analyzed by Chi-square test.Results Two hundred forty adolescents participated in this study, of whom 210 (87.5%) subjects were normotensive and 30 (12.5%) subjects were hypertensive. We found higher systolic blood pressure [114.9 (SD 11.7) vs. 109.5 (SD 10.5) mmHg as well as diastolic blood pressure [74 (SD 9.1) vs. 69.9 (SD 7.5) mmHg in adolescents with poor sleep quality compared to  those with good sleep quality (P=0.001).Conclusion Poor sleep quality is associated with hypertension in adolescents.

scholarly journals Prevalence and Associated Factors of Poor Quality of Sleep among Prisoners in Mettu Town Prison, Oromia, South West Ethiopia, 2019

2020 ◽  
Vol 13 (1) ◽  
pp. 94-100
Author(s):  
Zakir Abdu ◽  
Mohammedamin Hajure
Keyword(s):  
Alcohol Use ◽  
Sleep Quality ◽  
Associated Factors ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Urban Residence ◽  
Poor Sleep Quality ◽  
History Of

Background: Sleep is one of the basic needs of human beings and is important to their health; sleeping problem has a wide range of causes, including medical and psychological. However, evidence on the burden of sleep problems in low-income countries is lacking. When compared to the general population, the risks of having poor sleep quality are substantially higher in prisoners. However, the prevalence of poor sleep quality among prisoners at national level is not known. Objective: To assess the prevalence and associated factors of poor quality of sleep among prisoners in Mettu town prison, 2019. Methods: A cross-sectional study design was employed with 310 prisoners selected by a systematic random sampling method. Data was collected by a face to face interview using the Pittsburgh Sleep Quality Index (PSQI). Data analysis was done using SPSS version 20. Results: The study revealed that 77.1% (n= 239) of participants had poor sleep quality. Marital status: single (AOR=0.11, 95%CI=0.05, 0.26), widowed and divorced (AOR=0.11, 95%CI=0.03, 0.37), history of previous incarceration (AOR=4.8, 95%CI=2.0, 11.79), urban residence (AOR=2.65, 95%CI=1.12, 6.27), unable to read and write and read (AOR=6.10, 95%CI=1.43, 25.9) and lifetime alcohol use (AOR=8.45, 95%CI=3.88, 18.36) had significant association with poor sleep quality. Conclusion: This study has shown that the prevalence of poor sleep quality among prisoners was very high. Marital status: single, widowed and divorced, history of previous incarceration, urban residence, cannot write and read and lifetime alcohol use found to have an impact on the prevalence of poor sleep quality.

scholarly journals Residual symptoms after natural remission of insomnia: associations with relapse over 4 years

SLEEP ◽  
2019 ◽  
Vol 42 (8) ◽  
Author(s):  
Xiaowen Ji ◽  
Hans Ivers ◽  
Josée Savard ◽  
Mélanie LeBlanc ◽  
Charles M Morin
Keyword(s):  
Sleep Quality ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Data Set ◽  
Residual Symptoms ◽  
Wide Range ◽  
Insomnia Symptoms

Abstract Study Objectives Chronic insomnia tends to “wax and wane” over lifetime. The presence of residual insomnia symptoms is common, especially among naturally remitted individuals. This study aims to examine the features of these residual symptoms and their potential association with future relapse. Methods A population-based data set on the natural history of insomnia was used for this secondary analysis. Residual insomnia symptoms were investigated in those who had insomnia symptoms/syndrome at baseline and achieved full remission (according to predetermined diagnostic algorithm) within the following 1 year. Cox regressions were used to determine the hazard ratio (HR) of each residual symptom for predicting relapse in the next 4 years. The nature and severity of residual symptoms were examined with an extended version of the Insomnia Severity Index (ISI), which incorporates additional items on sleep quality and specific sleep-related daytime impairments (on daytime fatigue, cognitive functioning, mood, interpersonal relationship, and daily activities). In addition, the presence of depressive symptoms and medical conditions were controlled for in investigating risks of insomnia relapse. Results A total of 434 participants were included in this study (age ranges from 18 to 94; 65.9% female); 248 of them had relapsed within 4 years. The response rate ranged from 78% to 83%. The most frequently reported residual symptoms with at least moderate severity (ISI items ≥2 on 0–4 ISI item scale) were poor “Quality of sleep” (39.2 %), followed by “difficulty maintaining sleep” (DMS; 27%). The most common residual daytime impairments related to insomnia were fatigue (24.7 %), mood disturbances (23%) and cognitive disturbances (22.6%). After controlling for baseline insomnia and depression severity and concurrent physical diseases, impairments of cognition (HR = 1.46), poor quality of sleep (HR = 1.43), disturbed mood (HR = 1.39), being female (HR = 1.36), DMS (HR = 1.35), and fatigue (HR = 1.24) were significantly associated with insomnia relapse in the next 4 years. Moreover, residual poor sleep quality and daytime insomnia symptoms were independent of DMS in predicting relapse. Subgroup regressions according to sex showed that for male participants, residual cognition impairments (HR = 1.98) was the most significant predictors of future relapse, whereas residual DMS (HR = 1.46) significantly predicted relapse for women only. Conclusion A wide range of residual symptoms exists in individuals with naturally remitted insomnia. Notably, residual DMS is the most common residual nighttime symptom and the only nighttime symptom associated with insomnia relapse. Additionally, perceived poor sleep quality and cognitive, mood, and somatic impairments attributed to sleep disturbances are also related to future relapse. Attention to these residual symptoms when initiating insomnia treatment is warranted to minimize future relapse.

Impression of Twitter and Whatsapp on Sleep Quality Among Nursing Students In Indonesia

2020 ◽  
Vol 4 (2) ◽  
pp. 125
Author(s):  
Yosi Maria Wijaya ◽  
Fransiskus Xaverius Widiantoro
Keyword(s):  
Social Media ◽  
Nursing Students ◽  
Sleep Quality ◽  
Survey Design ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
The Impact

Introduction: The widely used social media by mobile-platform, which makes communication easier, faster, enhance effective flow of information. However, it may have the potential negative effect in quality of sleep in nursing students. The purpose of this study was to examined the impact of using social media and identified predictors of poor sleep quality among nursing students. Methods: A school-based survey design was conducted. Totally, 264 students at school of health sciences in West Java with usage social media platform were participated in this study. The extensive self-administered questionnaires were used to assess extent of using social media and the Pittsburgh Sleep Quality Index. Logistic regression analysis by a backward-stepwise technique was used to determine predictors of poor sleep quality. Results: One out of two nursing students (59.5 %) used both Instagram and WhatsApp, mostly at nights (59.8%), and more than 4-hour daily (19.3%). Majority nursing students (94.3%) have poor quality of sleep. Quality of sleep was differed significantly in bachelor students (p=0.03) in 8th semester (p = 0.006). Younger nursing students (β = 0.025, p = 0.021, 95% CI 0.001-0.566) who use social media less than 3-month (β = .019, p = 0.001, 95% CI 0.002-0.212), mostly during weekends and in 8th semester (β = 41.32, p = 0.018, 95% CI 1.902-897.73) were predictor of poorer sleep quality. Conclusion: Findings indicated a strong need for integrating sleep quality education and provide health-education to promote correct and effective use of social networks to minimize possible side effects in nursing students.

scholarly journals Association of sleep quality and internet addiction among the medical students

2019 ◽  
Vol 7 (7) ◽  
pp. 2703
Author(s):  
Nidhi Nagori ◽  
Kinjal Vasava ◽  
Ashok U. Vala U. Vala ◽  
Imran J. Ratnani
Keyword(s):  
Medical Students ◽  
Sleep Quality ◽  
Internet Addiction ◽  
Internet Use ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality

Background: The side effects of Internet overuse have been emerging progressively causing the emergence of a problem that is defined as internet addiction or problematic internet use. It also disrupts the sleep wake cycle so adversely affecting quality of sleep. This study is a preliminary step toward understanding the effect of internet addiction on sleep quality among medical college students in India.Methods: This was an observational, cross-sectional, single-centred, and self-assessable. Questionnaire based study administrated among 525 consenting medical students. The participants were assessed by proforma containing demographic details, variables related with internet use, questionnaires of IAT (Internet Addiction Test for Internet Use) and PSQI (Pittsburgh Sleep Quality Index for Sleep quality. Statistical data were analysed by Graph Pad InStat version 3.06 using Chi–square test and Mann-Whitney test.Results: There were 9.3% of all participants were considered problematic internet users with frequency of internet addiction 0.9%. Participants with problematic internet use are likely to have poor sleep quality (p<0.0001). 23.8% of all participants had poor sleep quality and 76.2% of the students had good quality of sleep. Participants with poor quality of sleep were having high IAT scores in comparison to participants with good quality of sleep. Severity of poor sleep quality is positively correlated with internet addiction (r2=0.233, p<0.0001).Conclusions: Participants with problematic internet use were more likely to have poor quality of sleep and vice a versa.

scholarly journals Quality of sleep and burnout among undergraduate medical students at the university of Nairobi, Kenya

BJPsych Open ◽  
2021 ◽  
Vol 7 (S1) ◽  
pp. S279-S279
Author(s):  
Linda Nyamute ◽  
Muthoni Mathai ◽  
Anne Mbwayo
Keyword(s):  
Academic Performance ◽  
Medical Students ◽  
Sleep Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Undergraduate Medical Students ◽  
Poor Sleep Quality ◽  
Significant Positive Association ◽  
The University

AimsThe main objective was to determine whether quality of sleep is associated with burnout among undergraduate medical students at the University of Nairobi.The null hypothesis in our study population was; 'There is no significant association between poor sleep quality and burnout'.BackgroundIn a pressure prevailing environment, medical students find themselves in a vicious cycle of cutting down on sleep in attempts to cope and adjust to increasing workloads. Students with poor sleep quality have been found to perform worse in their board exam and have strained social engagements. Ultimately, this chronic sleep deprivation may lead to burnout which may cause diminished sense of accomplishment and impaired professional conduct, that may be carried on to the career as a physician. High levels of burnout have been associated with suicides.MethodThe sample size obtained was 384 and participants were selected by a mixed sampling method. Data collection was through self-administered questionnaires. Scales used for this study were the Pittsburg Sleep Quality Index(PSQI) and the Oldenburg Burnout Inventory(OLBI).Ethical considerations were adhered to and approval obtained from the Kenyatta National Hospital-University of Nairobi(KNH-UON) Ethics Board. Data entry and analysis was by SPSS v23. Data from 336 questionnaires were deemed fit for analysis.ResultWith a response rate of 87.5%, the prevalence of poor sleep quality and burnout were 69.9% and 74.7% respectively. There was a significant positive association between poor sleep quality and female gender, clinical years of study, living with family, poorly perceived socio-economic state and poor subjective academic performance. In addition, being female, younger, pre-clinical years, living independently off-campus and poor subjective academic performance were significantly associated with higher levels of burnout.Burnout had a significant correlation with poor sleep quality. Daytime functioning, a component of sleep quality had the highest correlation with components of burnout, disengagement and exhaustion. Overall, 57% of the respondents had both poor sleep quality &burnout, while only 12% were good sleepers with no burnout. Furthermore, having poor sleep increased the risk of having burnout by 2.8times. It is crucial that students adopt better sleeping habits to reduce the risk of burnout.ConclusionWith the high prevalence of poor sleep quality and burnout, peer-support groups and peer-led mentorship programs are recommended within this population to help deal with expectations, challenges and difficulties encountered within the course of medical education, in addition to preparing for the early future careers.

The use of gadgets and their relationship to poor sleep quality and social interaction on mid-adolescents: a cross-sectional study

2020 ◽  
Vol 0 (0) ◽  
Author(s):  
Ilya Krisnana ◽  
Venni Hariani ◽  
Iqlima Dwi Kurnia ◽  
Yuni Sufyanti Arief
Keyword(s):  
Social Interaction ◽  
Sleep Quality ◽  
Rank Correlation ◽  
Simple Random Sampling ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
The Social

AbstractBackgroundMid-adolescents dominate the number of gadget users in Indonesia. The use of gadgets to a high intensity can cause various problems such as poor sleep quality and decreased social interaction. The purpose of this study was to analyze the relationship between the intensity of the use of gadgets and the quality of sleep and social interaction in adolescents.MethodThe research design used was a correlational research study with a cross-sectional approach. Through the calculation of the sample, the respondents were 250 adolescents who met the inclusion criteria, namely (1) adolescents aged 15–18 years and (2) teens who owned and used gadgets. The sampling method used simple random sampling by conducting a lottery system in each class. The independent variable was the intensity of using the gadget, while the dependent variable was the quality of sleep and social interaction. Data collection focused on the intensity of gadget use using questionnaires and it was analyzed using the Pittsburgh Sleep Quality Index (PSQI) and the Social Interaction Anxiety Scale (SIAS). The data was analyzed using Spearman’s rank correlation with α = 0.05.ResultsThe results showed that the intensity of gadget use was positively related to poor sleep quality in adolescents (p = <0.001; r = 0.555). The intensity of the use of gadgets was also related to social interaction with a negative direction. The higher the intensity of the use of gadgets, the lower the social interaction in adolescents (p = 0.001; r = –293).ConclusionThe use of gadgets in the mid-adolescent years is related to sleep disorders as regards the latency and duration of sleep. Adolescents are more likely to engage in social interaction and communication through gadgets than face to face.

scholarly journals The quality and characteristics of sleep of hypertensive patients

2015 ◽  
Vol 49 (4) ◽  
pp. 0596-0602 ◽  
Author(s):  
Juliét Silveira Hanus ◽  
Graziela Amboni ◽  
Maria Inês da Rosa ◽  
Luciane Bisognin Ceretta ◽  
Lisiane Tuon
Keyword(s):  
Sleep Quality ◽  
Pittsburgh Sleep Quality Index ◽  
Cross Sectional Study ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Poor Sleep Quality ◽  
Cross Sectional ◽  
Registration System ◽  
Hypertensive Patients

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.

scholarly journals Quality of Sleep in the Cypriot Population and Its Association With Multimorbidity: A Cross-Sectional Study

2021 ◽  
Vol 9 ◽  
Author(s):  
Maria Kyprianidou ◽  
Demosthenes Panagiotakos ◽  
Maria Kambanaros ◽  
Konstantinos C. Makris ◽  
Costas A. Christophi
Keyword(s):  
Sleep Quality ◽  
Adult Population ◽  
International Classification Of Diseases ◽  
Poor Quality ◽  
Poor Sleep ◽  
Quality Of Sleep ◽  
Sleep Habits ◽  
Cross Sectional ◽  
Validated Questionnaire

Poor sleep is a relatively common condition with possibly serious adverse health consequences. Lack of sleep affects the endocrine, immune, and nervous systems. In Cyprus, there is no information about the quality of sleep in the population. The goal of this study was to assess the quality of sleep in the Cypriot population and evaluate its association with multimorbidity. A representative sample of the adult population of Cyprus was selected in 2018–2019 among the five government-controlled municipalities of the Republic of Cyprus using stratified sampling. Data on sleep quality as well as on the presence of chronic, clinical, and mental health conditions were collected using a validated questionnaire. Diseases were classified according to the International Classification of Diseases, 10th Revision (ICD-10). A total of 1,140 Cypriot men and women over 18-years of age (range: 18–94) participated in the study. The median Pittsburgh sleep quality index score of the participants was 5 (first quartile = 3, third quartile = 7) with the maximum score being 17, which suggests that the Cypriot population has a relatively good quality of sleep overall, although, almost one-third of the study population had a poor quality of sleep. Women, residents of Paphos, and married people had a poorer quality of sleep (p &lt; 0.05). Having a poor quality of sleep was associated with higher odds of multimorbidity (OR = 2.21, 95% CI: 1.55, 3.16), even after adjusting for demographics, socioeconomic, and lifestyle factors. Adopting good sleep habits could be beneficial and would potentially help reduce the risk of multimorbidity. Public health guidelines regarding the importance of sleep and its association with multimorbidity should be considered.

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