Background and Objective We aimed to investigate the mediating role of bedtime procrastination in the relationship between sleep effort and insomnia severity in this study.Methods We included 497 university students in this study. All the participants completed the sociodemographic data form, Glasgow Sleep Effort Scale (GSES), Insomnia Severity Index (ISI), Depression-Anxiety-Stress Scale-21 (DASS-21), and Bedtime Procrastination Scale (BPS). We divided the participants into groups, according to their GSES and BPS scores, those with high-low sleep effort and those with BP (+) and BP (-), respectively. We compared the variables in these groups. Finally, we analyzed the mediating role of bedtime procrastination in the relationship between sleep effort and insomnia severity.Results The mean age of the participants was 20.41 ± 1.83 years. ISI, BPS, and DASS-21 were statistically significant in the group with high sleep effort (p < 0.01). Among the psychometric instrument scores, the highest correlation with GSES was with ISI, and then there was a statistically significant positive correlation with DASS-21. In addition, there was a statistically significant positive correlation between GSES and BPS. Bedtime procrastination played a partial mediation role in the relationship between sleep effort and insomnia severity.Conclusions Bedtime procrastination partially mediated the relationship between sleep effort and insomnia severity. Therapists should consider sleep effort and bedtime procrastination on their agenda in cognitive behavioral therapy sessions for insomnia.

Purpose: We aimed to adapt the Turkish Sleep Condition Indicator (SCI) version and examine its psychometric properties among the general population. Methods: This study was a cross-sectional study. The item-total correlation, standard error of measurement, Cronbach’s α, and McDonald’s ω were used for internal consistency. We ran confirmatory factor analysis (CFA) and network analysis to confirm the factor structure. Multigroup CFA was run to assess the measurement invariance across gender, whether clinical insomnia or not, and poor sleep quality. We correlated SCI scores with Insomnia Severity Index (ISI) and Pittsburgh Sleep Quality Index (PSQI) scores to evaluate construct validity. A receiver operating characteristic (ROC) curve analysis was conducted to calculate the cut-off score of the SCI. The temporal stability was examined with the intraclass correlation coefficient. Results: Eight hundred thirty-four participants attended. Over half of the participants were women (63.2% n = 527); the mean age was 36.15 ± 9.64. Confirmatory factor and network analysis results show that the two-factor correlated model had a good model fit for the SCI. The SCI had scalar level invariance across gender, having clinical insomnia and poor sleep quality in the Multigroup CFA. ROC curve analysis shows that the SCI has good sensitivity (90.3%) and specificity (91.8%) for cut-off ≤ 15. The intraclass correlation coefficient computed between the first and second SCI total scores was significant (r=0.80 with a 95% confidence interval from 0.78 to 0.87; p < 0.001). Conclusion: The Turkish SCI is a practical self-reported insomnia scale with good psychometric properties that can be used to screen for insomnia disorder.

Background/Aims: We aimed to examine the relationship between attention deficit and hyperactivity disorder (ADHD) symptoms and bedtime procrastination. Materials and Methods: Five hundred fifty-three university students participated in our study. All participants, in turn, answered the sociodemographic data form, The Adult ADHD Self-Report Scale (ASRS v1.1), Bedtime Procrastination Scale (BPS), Brief Self-Control Scale (BSCS), and Insomnia Severity Index (ISI). All participants were divided into two groups, probable ADHD and non-ADHD, according to the ASRS score. We compared sociodemographic data, sleep routines, and psychometric scales between these two groups. Finally, we analyzed the factors that could predict bedtime procrastination by hierarchical regression analysis. Results: The mean age of the participants was 20.55 ± 2.17. Most participants were female and unmarried (69.6% and 98.2%, respectively). BPS, ISI, and ASRS scores were significantly higher in the ADHD group than in the non-ADHD group (p < 0.01). BSCS score was significantly lower in the ADHD group than in the non-ADHD group (p < 0.01). Sleep duration was significantly lower in the ADHD group than in the non-ADHD group (p < 0.01). The correlation coefficients between ASRS and ISI, BPS, and BSCS were 0.461, 0.268, and -0.442, respectively (p < 0.01). Self-control and ADHD symptoms separately predicted bedtime procrastination with approximately the same variance (%4 vs. %3.9). Conclusions: Clinicians should evaluate bedtime procrastination in individuals with adult ADHD by clinical interview or BPS. Individuals with adult ADHD with bedtime procrastination should be assisted with cognitive behavioral therapy-insomnia and sleep hygiene. Amaç: Dikkat eksikliği ve hiperaktivite bozukluğu (DEHB) semptomları ve uyku vaktini erteleme arasındaki ilişkiyi incelemeyi amaçladık. Gereç ve Yöntem: Çalışmamıza 553 üniversite öğrencisi katıldı. Tüm katılımcılar sırasıyla sosyodemografik veri formu, Yetişkin DEHB Öz Bildirim Ölçeği (YDEHBÖ), Uyku Vaktini Erteleme Ölçeği (UVEÖ), Kısa Öz Kontrol Ölçeği (KÖKÖ) ve Uykusuzluk Şiddet İndeksi'ni (UŞİ) yanıtladı. Tüm katılımcılar YDEHBÖ puanına göre olası DEHB’si olan ve olmayan olmak üzere iki gruba ayrıldı. Bu iki grup arasında sosyodemografik verileri, uyku rutinlerini ve psikometrik ölçekleri karşılaştırdık. Son olarak, hiyerarşik regresyon analizi ile uyku vaktini ertelemeyi öngörebilecek faktörleri analiz ettik. Bulgular: Katılımcıların yaş ortalaması 20.55 ± 2.17 idi. Katılımcıların çoğu kadın ve bekardı (sırasıyla %69,6 ve %98,2). UVEÖ, UŞİ ve YDEHBÖ puanları, DEHB grubunda DEHB olmayan gruba göre anlamlı derecede yüksekti (p < 0.01). KÖKÖ puanı, DEHB grubunda DEHB olmayan gruba göre anlamlı olarak daha düşüktü (p < 0.01). Uyku süresi, DEHB grubunda DEHB olmayan gruba göre anlamlı olarak daha düşüktü (p < 0.01). YDEHBÖ ile UŞİ, UVEÖ ve KÖKÖ arasındaki korelasyon katsayıları sırasıyla 0,461, 0,268 ve -0,442 idi (p < 0,01). Öz kontrol ve DEHB semptomları uyku vaktini ertelemeyi yaklaşık olarak aynı varyansla (%4'e karşı %3.9) ayrı ayrı yordamıştır. Sonuç: Klinisyenler, DEHB'li erişkinlerde uyku vaktini ertelemeyi klinik görüşme veya UVEÖ ile değerlendirmelidir. Uyku vaktini erteleyen yetişkin DEHB'li bireylere bilişsel davranışçı terapi-uykusuzluk ve uyku hijyeni ile müdahale edilmelidir.

Objectives: The aim of this study is to examine the relationships between childhood mental trauma experiences, depression, anxiety and stress concepts. Methods: The research is a descriptive and relationship-seeking type of study. The study sample consisted of 192 students. Data were collected with the “Personal Information Form, Childhood Mental Trauma Scale and Depression Anxiety Stress Scale Short Form”. Results: The rate of students who stated that they were exposed to any trauma in their childhood is 74%. The majority of students reported physical (28.2%) and emotional abuse (33.1%). Those who were exposed to childhood traumas had high Depression Anxiety Stress Scale anxiety and depression subscale scores, and the difference between them was statistically significant. When the correlations between the scales are examined; There was a positive correlation between Depression Anxiety Stress Scale depression sub-dimension and Childhood Mental Trauma Scale total and physical abuse sub-dimensions, and a positive significant relationship between anxiety sub-dimensions and Childhood Mental Trauma Scale total, physical abuse, emotional abuse, and emotional neglect sub-dimensions. Conclusions: Childhood traumas are one of the important risk factors especially for depression and anxiety disorders. It can be recommended to take mental health measures to prevent the negative consequences of childhood traumas observed in adulthood, to provide psychosocial support to students and to include practices that will increase psychological resilience.

Amaç: Bu çalışma, bir diyaliz merkezindeki hemodiyaliz hastalarında depresyon ve manevi iyilik hali arasındaki ilişkiyi belirlemek amacıyla yapılmıştır. Gereç ve Yöntem: Araştırma betimsel araştırma türündedir. Mevcut çalışma 74 hemodiyaliz hastası ile gerçekleştirilmiştir. Çalışmaya başlamadan önce etik kurul onayı ve kurum izni alınmıştır. Araştırmanın verileri “Kişisel Bilgi Formu”, “Beck Depresyon Envanteri” ve “Manevi İyi Oluş Ölçeği” kullanılarak yüz yüze toplanmıştır. Verilerin analizinde betimsel istatistikler, t-testi, Anova testi ve korelasyon analizi kullanılmıştır. Bulgular: Hastaların yarısından fazlası 51 yaş ve üzerindeydi (%54,1) ve %60,8'i erkekti. Beck Depresyon Envanteri puanları kesme noktasına göre incelendiğinde hastaların %58,1'inin depresif belirtiler gösterdiği saptanmıştır. Çalışmada depresyon puan ortalaması 19,27±7,31, manevi iyi oluş puan ortalaması 18,74±10,8'dir (Alt ölçekler: Huzur 5,70±3,52, Anlam 6,27±3,67, İnanç 6,75±3,97). Bu çalışmanın sonuçları manevi iyilik hali ile depresyon arasında negatif yönde anlamlı bir ilişki olduğunu ortaya koymuştur (p<0.05). Sonuç: Hemodiyaliz tedavisi alan hastaların moral iyilik düzeyi arttıkça depresif belirtileri azalmaktadır. Bu nedenle, ruhi sağlığı değerlendirmek ve manevi bakımı günlük uygulamaya entegre etmek, bakım kalitesini artırmaya ve daha iyi sağlık sonuçları elde etmeye yardımcı olabilir. Aim: This study was designed to determine the relationship between depression and spirituality in hemodialysis patients in a dialysis center. Material and Method: The research is in the type of descriptive research. The current study was conducted with 74 patients hemodialysis. Ethics committee approval and institutional permission were obtained before starting the study. The data of the study was collected by applying “Personal Information Form”, “Beck Depression Inventory” and “Spiritual Well-Being Scale”. The data were collected face to face using the questionnaire method. In the analysis of the data, descriptive statistics, t-test, Anova test and correlation analysis were used. Results: More than half of the patients were 51 years and over (54.1%) and 60.8% were male. When the Beck Depression Inventory's scores were analyzed according to the cut-off point, it was found that 58.1% of the patients showed depressive symptoms. In the study, BDI mean score was 19.27±7.31, SWBS mean score was 18.74±10.8 (Subscales: Peace 5.70±3.52, Meaning 6.27±3.67, Faith 6.75±3.97). The results of this study revealed that there is a negative significant relationship between mental well-being and depression (p<0.05). Conclusion: As the moral well-being level of patients receiving hemodialysis treatment increases, their depressive symptoms decrease. Therefore, assessing spiritual health and integrating spiritual care into daily practice can help improve the quality of care and achieve better health outcomes.

Aim: The objective of the present study is to increase nurses’ awareness of delirium risk factors, make nurses gain competence in using Nursing Delirium Screening Scale (Nu-DESC), and improve the quality of care by detecting delirium early in intensive care unit patients. Material and Method: The research is a descriptive and correlational study. The sample consisted of 55 patients in an intensive care unit. Data of the study was collected with the Personal Information Form, the Richmond Agitation and Sedation Scale, the Glasgow Coma Scale, and the Nu-DESC. Results: The majority of patients (89%) demonstrated the symptoms of anxiety and agitation. There was a significant correlation between age and the day delirium was detected and the Nu-DESC. In the study, isolation need, ventilator support, and pain were determined as risk factors. Conclusion: The results of the study revealed the necessity of using measurement tools for the early detection of delirium in clinical practice by nurses.