Predictors of problematic Internet use in school going adolescents of Bhavnagar, India

2019 ◽  
Vol 65 (2) ◽  
pp. 151-157 ◽  
Author(s):  
Sneha B Vadher ◽  
Bharat N Panchal ◽  
Ashok U Vala ◽  
Imran J Ratnani ◽  
Kinjal J Vasava ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Sleep Quality ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Poor Quality ◽  
Problematic Internet Use ◽  
Quality Of Sleep

Background: Problematic Internet use (PIU) is the inability of individuals to control their Internet use, resulting in marked distress and/or functional impairment in daily life. Aim/Objective: We assessed the frequency of PIU and predictors of PIU, including social anxiety disorder (SAD), quality of sleep, quality of life and Internet-related demographic variables among school going adolescents. Methods: This was an observational, single-centered, cross-sectional, questionnaire-based study of 1,312 school going adolescents studying in Grades 10, 11 and 12 in Bhavnagar, India. Every participant was assessed by a pro forma containing demographic details, questionnaires of Internet Addiction Test (IAT), Social Phobia Inventory (SPIN), Pittsburgh Sleep Quality Index (PSQI) and Satisfaction With Life Scale (SWLS) for PIU severity, SAD severity, Quality of Sleep assessment and Quality of Life assessment, respectively. The statistical analysis was done with SPSS Version 23 (IBM Corporation) using chi-square test, Student’s t test and Pearson’s correlation. Multiple linear regression analysis was applied to find the predictors of PIU. Results: We found frequency of PIUs as 16.7% and Internet addiction as 3.0% among school going adolescents. Participants with PIU are more likely to experience SAD ( p < .0001), poor quality of sleep ( p < .0001) and poor quality of life ( p < .0001). There is positive correlation between severity of PIU and SAD ( r = .411, p < .0001). Linear regression analysis shows PIU can be predicted by SAD, sleep quality, quality of life, English medium, male gender, total duration of Internet use, monthly cost of Internet use, education, social networking, gaming, online shopping and entertainment as purpose of Internet use. Conclusion: Participants with PIU are more likely to experience SAD, poor quality of sleep and poor quality of life.

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 Nutritional status and quality of life in diabetic patients on hemodialysis: a cross-sectional study from Palestine

2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Eba’a Hafi ◽  
Ro’ya Soradi ◽  
Sarah Diab ◽  
Ahmad M. Samara ◽  
Marah Shakhshir ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Nutritional Status ◽  
Linear Regression Analysis ◽  
Cross Sectional Study ◽  
Diabetic Patients ◽  
Sectional Study ◽  
Cross Sectional

Abstract Background End-stage renal disease (ESRD) is a leading cause of death and morbidity worldwide. Malnutrition is a common problem among hemodialysis (HD) patients that negatively impacts their prognosis and is linked to an increase in morbidity and mortality in these patients, as well as a decrease in their quality of life (QOL). In this study, we aimed to evaluate the QOL and to investigate factors that can influence it, including nutritional status, as well as socio-demographic factors, among Palestinian diabetic patients on HD therapy. Methods This was a cross-sectional study that occurred at a large hemodialysis center in Palestine. Malnutrition was assessed by the malnutrition-inflammation scale (MIS), and the quality of life was evaluated by using the EuroQoL five-dimensional instrument (EQ-5D). Multivariable linear regression analysis was carried out to look at the effect of multiple variables on QOL. Results A total of 118 diabetic patients on HD were included. Of these, 66.9% were male, and 60.2% were aged 60 years or higher. Having multiple comorbid diseases (p=0.004) and having been on HD for >4 years (p=0.003) were significantly associated with a higher MIS score, whereas living alone (p=0.037) and having been on HD for >4 years (p=0.002) was significantly associated with lower EQ-5D score. We also observed a significant association between the MIS score and the EQ-5D score(r=−0.616, p<0.001). Multiple linear regression analysis demonstrated that diabetic hemodialysis patients who lived within a family household were positively correlated with the QOL score (standardized coefficient, 0.178; 95% confidence interval (CI), 0.042 to 0.372; p = 0.015), and MIS score was significantly and negatively correlated with QOL scores (standardized coefficient, −0.587; 95% CI, −0.047 to −0.028; p < 0.001). Conclusions We found that malnutrition was associated with a lower QOL score among diabetic patients on HD. We recommend general practitioners, dietitians, nephrologists, and nurses to make plans that pay more attention to this group of patients who show evidence of malnutrition. Patients on dialysis for ≥ 4 years, patients who live alone, and those suffering from multiple co-morbid diseases should receive special care due to their higher risk of being impacted by this problem.

scholarly journals The Combined Effects of Patient Activation and Relational Aspects on the Quality of Life in Atrial Fibrillation Patients

2021 ◽  
Vol 12 ◽  
Author(s):  
Jie Wang ◽  
Qin Wang ◽  
Zhipeng Bao ◽  
Yuanyuan Peng ◽  
Shenxinyu Liu ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Atrial Fibrillation ◽  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Patient Activation ◽  
Multiple Linear Regression Analysis ◽  
Daily Activities

Objective: This study aims to explore the influence of patient activation (PA) and relational aspects on the quality of life (QoL) in patients with Atrial Fibrillation (AF) for developing measures to improve PA and QoL.Methods: A cross-sectional study was undertaken in 2021 among 190 AF patients in Nanjing, China. Research instruments included a self-designed social-demographic characteristics scale, the Patient Activation Measure (PAM), the Atrial Fibrillation Effect on Quality of Life (AFEQT). The data analysis was performed using IBM SPSS 25.0. Spearman correlation analysis, multiple linear regression analysis, and Wilcoxon rank-sum tests were used to assess the association accordingly.Results: The average AFEQT score for the 190 AF patients was 69.32 ± 14.52. The distribution of activation Levels 1, 2, 3, and 4, were where 4.7, 34.2, 47.4, and 13.7%, respectively. The multiple linear regression analysis revealed that patient activation, work status, and cardiac rehabilitation of AF patients predicted AF-related QoL (β = 0.270, −0.205, and 0.183, respectively; all P &lt; 0.05). The influences of PA level on subdimensions of AF-related QoL were as follows: symptoms, daily activities and treatment concern.Conclusion: The level of QoL of patients with AF was moderate. Higher levels of patient activation in those with AF were associated with milder symptoms, more positive daily activities and fewer treatment concern. Based on our findings, we suggest that healthcare personnel should encourage AF patients to take active participation in cardiac rehabilitation, disease self-management and foster progression of PA level. Future research is warranted to develop tailor-made interventions aimed at the activation level.

scholarly journals The Developed Patient Healthy Questionnaire-8 with a Greater Impact on Quality of Life Compared with the Somatic Symptom Scale-8 in Functional Dyspepsia

2020 ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Factor Analysis ◽  
Regression Analysis ◽  
Linear Regression ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Symptom Scale ◽  
Scale 8

Abstract Background: To adapt insufficiencies of the Somatic Symptom Scale-8 (SSS-8) measuring somatization in functional dyspepsia (FD) to develop PHQ-8, of which reliability, validity and the effects of somatization evaluated by the developed PHQ-8 on quality of life (QoL) were further assessed.Methods: 612 FD patients completed a 25 items questionnaire. 8 items were selected from 25 items to constitute the PHQ-8 by discrete degree, correlation coefficient, factor analysis and Cronbach coefficient four methods. Reliability and validity for the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analysis. The effects of somatization, depression and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson correlation coefficient and linear regression analysis.Results: Cronbach’s α coefficients for the PHQ-8 and the SSS-8 were 0.601, 0.553, and cumulative contribution rates of three extracted factors were 55.103%, 51.666%, respectively. Somatization evaluated by the PHQ-8(r=0.309, P<0.001) and the SSS-8 (r=0.281, P<0.001) were related to the NDI. The model for the PHQ-8 showed χ2=31.247, RMR=0.01, RMSEA=0.042, GFI=0.984. Linear regression analysis showed that somatization measured by the PHQ-8 (β=0.270, P<0.001), anxiety (β=0.163, P<0.001) and depression (β=0.136, P=0.003) were determinants of the NDI; somatization measured by the SSS-8 (β=0.250, P<0.001), anxiety (β=0.156, P<0.001) and depression (β=0.155, P =0.001) were determinants of the NDI.Conclusions: The developed PHQ-8 had a better reliability and validity, which assessing somatization appeared to have a greater impact on QoL than that of the SSS-8. These results suggested that the developed PHQ-8 might improve to study the effects of somatization on QoL instead of the SSS-8 in specific FD patients.

scholarly journals Problematic internet use in gamblers: impact on clinical and cognitive measures

CNS Spectrums ◽  
2017 ◽  
Vol 22 (6) ◽  
pp. 495-503 ◽  
Author(s):  
Samuel R. Chamberlain ◽  
Sarah A. Redden ◽  
Eric Leppink ◽  
Jon E. Grant
Keyword(s):  
Quality Of Life ◽  
Linear Regression ◽  
Gambling Disorder ◽  
Internet Use ◽  
Spatial Working Memory ◽  
Problematic Internet Use ◽  
Adhd Symptoms ◽  
Research Attention ◽  
The Impact

ObjectiveGambling is a commonplace phenomenon, existing along a continuum from occasional gambling to functionally impairing gambling disorder. The internet may act as a conduit for some gambling behaviors. The impact of problematic internet use on clinical and cognitive features relevant to gambling has received little research attention.MethodsA total of 206 adults aged 18–30 years who gamble at least five times per year were recruited from the general community and undertook detailed clinical and cognitive assessments. Problematic internet use was defined using a total score of 5 or more on Young’s Diagnostic Questionnaire (YDQ). Linear regression was employed to evaluate the relative contribution of addictive-related, impulsive-related, and compulsive-related measures in predicting YDQ total scores in gamblers.ResultsGamblers with problematic internet use (18% of the sample) reported lower quality of life, lower self-esteem, elevated rates of intermittent explosive disorder, gambling disorder symptoms, attention deficit hyperactivity disorder (ADHD) symptoms, antisocial personality disorder, and posttraumatic stress disorder (PTSD), as well as relative deficits in decision making and spatial working memory. In linear regression, the extent of problematic internet use was most significantly associated with increased gambling disorder symptoms and increased ADHD symptoms.ConclusionsProblematic internet use in gamblers is associated with worse quality of life, more problem/pathological gambling symptoms, more psychiatric morbidities, and select cognitive impairment. Refinement of the definition of problematic internet use and exploration of its clinical and cognitive associations are likely to be highly relevant to the treatment of problematic gambling.

The Relative Influence of Surgical Disease and Co-Morbidities on Patient Responses to a Generic Health-Related Quality-of-Life Instrument

2009 ◽  
Vol 75 (11) ◽  
pp. 1084-1090
Author(s):  
Emily France ◽  
Vic Velanovich
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Health Related Quality ◽  
Surgical Disease ◽  
Sf 36 ◽  
Related Quality ◽  
Health Related

Generic health-related quality-of-life (QoL) instruments are increasingly used to assess the outcomes of surgical interventions. However, it is unclear to what extent the patient's associated comorbidities have on the responsiveness of these instruments to measure changes caused by the operation. The purpose of this study was to assess the relative influence of comorbidities to surgical disease in how patients answered the items of the most frequently used generic instrument, the SF-36. Sixty-nine preoperative patients completed the SF-36, which contains 36 items covering eight domains and a health transition question. For each of the 36 items, patients were asked to rate the influence of their surgical disease and their comorbidities on how they answered the items from 1 to 10. The surgical disease, comorbidities, and medications were recorded. Data was analyzed using the Mann-Whitney U test and linear regression analysis. Of the 36 items of the SF-36, patients reported that their surgical disease influences nine items greater than their comorbidities (P < 0.05). Using linear regression analysis, the number of comorbidities did not effect the influence of the surgical disease in any item; however, this number had a direct relationship (P < 0.05) with the influence of comorbidities on how the patient answered the item. However, the magnitude of the influence was low. There was an inverse (negative slope, P < 0.05) relationship between the number of comorbidities and the score of six of eight domains. Although the surgical disease has more of an influence on how patients answered the items of the SF-36, as the number of comorbidities increased, these seem to have more influence. Therefore, the SF-36 would be a good choice for assessing QoL in most surgical disease. However, as the overall magnitude of this influence was low, this may be a cause of the lack of responsiveness of generic QoL instruments in measuring the effect of operations on QoL. Importantly, as the number of comorbidities increased, the scores of the SF-36 decreased, implying that the effect of the surgical disease would be greater in patients with fewer comorbidities.

scholarly journals Heterogeneous Association of Chinese Adolescents’ Engaged Living With Problematic Internet Use: A Mixture Regression Analysis

2021 ◽  
Vol 11 ◽  
Author(s):  
Jieting Zhang ◽  
Can Jiao ◽  
Chengfu Yu ◽  
Tianqi Qiao ◽  
Zhirong Li
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Regression Model ◽  
Social Integration ◽  
Internet Use ◽  
Linear Regression Analysis ◽  
Psychological Needs ◽  
Problematic Internet Use ◽  
Mixture Regression ◽  
Mixture Regression Model

The present study explored heterogeneity in the association between engaged living (i.e., social integration and absorption) and problematic Internet use (PIU). This study included 641 adolescents from four junior-senior high schools of Guangzhou, China. Besides the standard linear regression analysis, mixture regression analysis was conducted to detect certain subgroups of adolescents, based on their divergent association between engaged living and PIU. Sex, age, and psychological need were further compared among the latent subgroups. The results showed that a mixture regression model could account for more variance of PIU than a traditional linear regression model, and identified three subgroups based on their class-specific regression of PIU to engaged living. For the High-PIU class, lower social integration and higher absorption were associated with increased PIU; for the Medium-PIU class, only high social integration was linked with the increase of PIU. For the Low-PIU class, no relation between engaged living and PIU were found. Additionally, being male or having a lower level of satisfied psychological needs increased the link between engaged living and PIU. The results indicated a heterogeneous relationship between engaged living and PIU among adolescents, and prevention or intervention programs should be tailored specifically to subgroups with moderate or high levels of PIU and to those with lower levels of psychological needs’ satisfaction, as identified by the mixture regression model.

The Effects of Azacitidine on Quality of Life Measured Longitudinally In MDS Patients Treated at a Tertiary Care Center

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2571-2571
Author(s):  
Sarah A. Ingber ◽  
Kim Thompson ◽  
Adam Lam ◽  
Alex Mamedov ◽  
Liying Zhang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Predictive Factors ◽  
Physical Functioning ◽  
Linear Regression Analysis ◽  
Clinically Significant ◽  
Over Time

Abstract Abstract 2571 Background: Myelodysplastic syndromes (MDS) are clonal hematopoetic stem cell disorders characterized by ineffective hematopoiesis and a propensity to develop AML predicted by conventional scoring systems such as the International Prognostic Scoring System (IPSS). Azacitidine (AZA), a hypomethylating agent is indicated for high and high intermediate IPSS scores based on survival and leukemia-free survival benefits demonstrated in randomized trials (Silverman 2002, 2006, Fenaux 2009). Additionally, improvements in fatigue, dyspnea, physical functioning, affect and psychological distress were demonstrated in the CALGB study (Kornblith 2002). We previously showed that most symptom and functional domains of quality of life (QOL) are impaired in MDS patients measured by several instruments and are primarily determined by Hb and transfusion dependence (Buckstein 2009). With the exception of the CALGB paper, there is a paucity of data assessing the ‘real world' QOL in MDS patients treated with AZA longitudinally. All consented patients with MDS followed at our center have QOL assessed every 3–4 months as part of routine care. We present the QOL scores of patients on AZA as assessed by the EORTC QLQ-C30, EQ-5D and a global fatigue scale. Methods: Clinically significant score differences were considered to be 10 points for the EORTC, and 0.05 for the EQ-5D. Linear regression analysis was used to detect each QOL change over time. Log-transformation was applied for all QOL scores to normalize the distribution. To search for significant predictive factors of each QOL, linear regression analysis (for continuous predictive factors) or Analysis of Variance (for binary predictive factors) was conducted at baseline. A two-sided p-value less than 0.05 was considered statistically significant. Results: 30 patients in our database were/are currently treated with AZA. The median age was 73 years, with 63% being male. Of the 26 patients with measureable IPSS scores, 54% were high/high intermediate risk. Seventy percent had a Hb <100 at the time of baseline QOL prior to AZA, 50% had a ferritin ≥ 1000 ug/L, 65% were transfusion dependent (TD) as defined by the WPSS (Malcovati 2007). Sixty-seven percent of patients were on AZA for ≥ 4 cycles of treatment. Of the 19 TD patients only 3 became transfusion independent (TI) on AZA and 3 patients who were TI at baseline became TD. Of the 30 patients, 20 have QOL data available for analysis with a median follow up time of 10 weeks (range 0–80) and an interval duration between QOL assessments of 15.5 weeks. Fourteen out of twenty patients have serial QOL assessments, 5 with two, 9 with three or more. The only clinically significant improvements were observed with the EORTC physical functioning and fatigue subscales but constipation scores were higher and global health status/QOL deteriorated over time (Figure 1). At baseline assessment ferritin ≥ 1000 ug/L was negatively associated with physical functioning (p=.0007), cognitive functioning (p=.0012), global QOL (p=.0048) and global fatigue (p=.0003) while transfusion dependence was not predictive of QOL scores. No significant clinical improvements were detected by linear regression or ANOVA over time, but constipation worsened using both models. The health utilities (determined by the summary score of the EQ-5D) are seen in table 1. Conclusion: Many clinically important function and symptom domains of 3 different QOL instruments have not changed significantly over time in our patients receiving AZA. This is likely explainable by the limited sample size and serial number of assessments in our patients. Our present patient population is higher risk than that tested in the CALGB study and our previous report on the MDS patients in our database. Furthermore, we have yet to see the rates of transfusion independence that might be associated with improved QOL. The negative association of increased ferritin with numerous symptom and function scores may simply be a surrogate for the extent of transfusion dependence. We hope that with longer follow up and larger sample size, we will be able to reproduce the QOL benefits observed in the pivotal CALGB trial (Kornblith 2002). Disclosure: No relevant conflicts of interest to declare.

scholarly journals Developing the Patient Healthy Questionnaire-8 with a Greater Impact on Quality of Life of Patients with Functional Dyspepsia Compared with the Somatic Symptom Scale-8

2020 ◽  
Author(s):  
Chaoqun Yuan ◽  
Guizhen Yong ◽  
Xi Wang ◽  
Ting Xie ◽  
Chunyan Wang ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Regression Analysis ◽  
Linear Regression ◽  
Somatic Symptom ◽  
Linear Regression Analysis ◽  
Reliability And Validity ◽  
Mean Square ◽  
Symptom Scale ◽  
Scale 8

Abstract Background: To develop the Patient Healthy Questionnaire-8 (PHQ-8), as a more reliable approach compared with the Somatic Symptom Scale-8 (SSS-8), evaluating somatization in patients with functional dyspepsia (FD), in which the effects of somatization assessed by these two approaches on quality of life (QoL) of FD patients were further compared. Methods: Herein, 612 FD patients completed a questionnaire involving 25 items. 8 out of 25 items were selected to develop the PHQ-8 by four methods of discrete degree, correlation coefficient, factor analysis, and Cronbach’s α coefficient. Reliability and validity of the PHQ-8 and the SSS-8 were compared by principal component and confirmatory factor analyses. The effects of somatization, depression, and anxiety on the Nepean Dyspepsia Index (NDI) for QoL were explored by Pearson’s correlation coefficient and linear regression analysis. Results: The Cronbach’s α coefficient for the PHQ-8 and the SSS-8 was 0.601 and 0.553, respectively, and the cumulative contribution rate of three extracted factors for the developed PHQ-8 and SSS-8 was 55.103% and 51.666%, respectively. Somatization evaluated by the PHQ-8 (r=0.309, P<0.001) and the SSS-8 (r=0.281, P<0.001) was found to be correlated with the NDI. The model used for the PHQ-8 showed that the values of chi-squared (χ2), root mean square residual (RMR), root mean square error of approximation (RMSEA), goodness-of-fit index (GFI), and adjusted GFI (AGFI) were 31.247, 0.01, 0.042, 0.984, and 0.967, respectively. Linear regression analysis unveiled that somatization (β=0.270, P<0.001), anxiety (β=0.163, P<0.001), and depression (β=0.136, P=0.003) assessed by the PHQ-8 were correlated with the NDI; besides, somatization (β=0.250, P<0.001), anxiety (β=0.156, P<0.001), and depression (β=0.155, P =0.001) evaluated by the SSS-8 were correlated with the NDI.Conclusions: The developed PHQ-8 showed to have a superior reliability and validity, and somatization assessed by the developed PHQ-8 showed have a greater influence on QoL of FD patients compared with the SSS-8. Our findings suggested that the developed PHQ-8 may improve fast assessment of the effects of somatization on FD patients in lieu of the SSS-8.

MO705SLEEP DISTRUBANCES IN PATIENTS ON PERITONEAL DIALYSIS

2021 ◽  
Vol 36 (Supplement_1) ◽  
Author(s):  
Dahmane Rihem ◽  
Chaker Hanen ◽  
Toumi Salma ◽  
Zini Olfa ◽  
Mseddi Fatma ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Mental Health ◽  
Peritoneal Dialysis ◽  
Sleep Quality ◽  
Sleep Disorders ◽  
Sleep Disturbances ◽  
Poor Quality ◽  
Quality Of Sleep ◽  
The Mean

Abstract Background and Aims Sleep disturbances are more common in patients with chronic renal failure and on dialysis than in the general population. They affect their mental health and quality of life. The objective of this study was to evaluate the sleep disorders of patients on peritoneal dialysis (PD). Method We report the results of a descriptive cross-sectional study in 27 patients on PD in order to assess the quality of sleep in these patients and its relation with mental health and quality of life. Sleep quality was performed using the Pittsburgh Sleep Quality Index (PSQI) to assess origin and extent of sleep disorders. Anxiety-depressive disorders were assessed using the HAD (Hospital anxiety and depression) scale. The quality of life (QOL) measurement was performed by the SF36 and KDQoL. Results We included 15 men and 12 women with an average age of 45.74 years (21–77). Eleven patients were on automated peritoneal dialysis (APD) and 16 patients on continuous ambulatory peritoneal dialysis (CAPD). The mean duration of dialysis was 45.77 ± 25 months. Poor quality of sleep was reported in 14 patients. The mean PSQI was 7.22 ± 4.87. The most affected components were sleep duration and usual sleep efficiency. Depression was objectified in 22.22% of patients and 26% of patients had anxiety. Impaired quality of sleep was associated with decreased quality of life. The components of the physical dimension of quality of life: limitation due to physical condition, physical pain were significantly lower in dialysis patients with good quality of sleep (p=0.014, p= 0.033 respectively) The mental dimension component of QOL of SF36: relationship to others, limitation due to mental condition was also lower in patients with sleep disturbances (p=0.039, p= 0.036 respectively). Symptoms and problems, as well as the effects and the burden of kidney disease were not associated with poor quality of sleep. Impaired sleep quality was also not significantly associated with depression or anxiety in our series. Conclusion Sleep disturbances are common in PD patients and are associated with decreased quality of life. Therefore, they must be taken into account in the therapeutic measures recommended in order to improve the quality of life of these patients and reduce morbidity and mortality.

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