P1219SLEEP AND PERITONEAL DIALYSIS

Abstract Background and Aims Sleep is considered a basic human need according to Maslow. It helps in the individual‘s physical and psychological recovery. Nowadays, sleep disturbances are an increasingly frequent reality and they interfere negatively with quality of life. Poor sleep quality has a negative impact on the individual’s health (attention, memory, Diabetes, Hypertension, immune system depression, mortality). Peritoneal dialysis (PD) may be an additional insult that is disturbing to its quality. The aim of the study was to assess the quality and health of sleep in PD patients. Method We carried out a single-center study in 35 prevalent PD patients. We used the Pittsburgh Sleep Quality Scale (PSQI), which evaluates seven components (subjective quality, latency, duration, usual efficiency of sleep and sleep changes, medication use and daytime dysfunction) and which considers a good sleep quality when PSQI ≤5. We used a sleep health scale assessed by SATED PT (validated for the Portuguese population) and which considers 0 poor sleep health and 30 good sleep health. Each patient answered both PSQI and SATED-PT questionnaires. Demographic and clinical variables were analyzed. Continuous variables are presented as means (standard deviation) or medians (interquartile range), depending on normality; categorical as frequencies. Univariate analysis was performed. STATA software was used and p <0.05 was considered significant. Results Our cohort has 18 (51%) women, 34 (97%) Caucasians, mean age 49 ± 15 years, median dialysis time of 20.5 (8-33) months; 4 (11%) had a history of attempted construction of arteriovenous fistula and 7 underwent a short period of hemodialysis before starting PD (median 60 months). Charlson's median score was 4 (2-5). 21 patients (60%) were on automated PD, 14 on manual, 18 on Baxter system and 17 on Fresenius system. Regarding sleep quality, the average obtained on the PSQI scale was 7 ± 3.4 and 60% had values> 5. We found no correlations between these parameters and the demographic and clinical variables studied. We found that 36.4% of patients wake up earlier than expected, 43.8% get up to go to the bathroom, 30% have nightmares, 20% have pain while sleeping, 23.5% depend on sleeping medication, 34.3% have restless legs, all these parameters in a frequency greater than 3x week. Regarding sleep health, the mean of the SATED scale was 22 ± 5.8 and only 2 patients (5.7%) had values <10. We found a negative correlation between the SATED value and time on dialysis (p = 0.03) and a positive correlation with BMI (p = 0.04). Only 1 patient with normal values lived alone (p = 0.03). None of these scales (and respective sub-scales) correlated with the PD modality. Conclusion In conclusion, the majority of our patients have poor sleep quality but the small sample size limits further conclusions from this study.

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Relationshp Between Sleep Quality, Mood State, and Performance of Elite Air-Rifle Shooters

10.21203/rs.3.rs-1145112/v1 ◽

2021 ◽

Author(s):

Jiaojiao Lu ◽

Yan An ◽

Jun Qiu

Keyword(s):

Sleep Quality ◽

Mood State ◽

Sleep Latency ◽

Sleep Time ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Somatic Anxiety ◽

And Performance ◽

Air Rifle ◽

Good Sleep

Abstract Background To evaluate the impact of pre-competition sleep quality on the mood and performance of elite air-rifle shooters. Methods This study included 23 elite air-rifle shooters who participated in an air-rifle shooting-competition from April 2019 to October 2019. Sleep time, sleep efficiency, sleep latency, and wake-up time after sleep onset were monitored using actigraphy. The Pittsburgh sleep quality index and Profile of Mood State were used to assess sleep quality. Competitive State Anxiety Inventory-2 was used to evaluate mood state. Results The average time to fall asleep, sleep time, sleep efficiency, and subjective sleep quality were 20.6 ± 14.9 min, 7.0 ± 0.8 h, 85.9 ± 5.3%, and 5.2 ± 2.2, respectively. Sleep quality decreased as the competition progressed. Pre-competition sleep time in female athletes was significantly higher than that on the competition day (P = 0.05). Pre-competition sleep latency was significantly longer in women than in men (P = 0.021). During training and pre-competition, the tension, fatigue, depression, and emotional disturbance were significantly lower in athletes with good sleep quality than in athletes with poor sleep quality. Athletes with good sleep quality had significantly more energy. The PSQI total score was positively correlated with positive emotion, TMD, cognitive anxiety, and somatic anxiety POMS scores, and negatively correlated with energy and self-confidence scores. Race scores and depression and somatic anxiety scores were negatively correlated. Conclusion Poor sleep quality negatively impacted the mood of athletes; however, sleep indices and competition performance of athletes during competitions were not significantly correlated.

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Cognitive impairment as a function of sleep quality and gender

Journal of Biomedical Sciences ◽

10.3126/jbs.v6i3.26822 ◽

2019 ◽

pp. 4

Author(s):

R. Akhil ◽

B.P. Nair

Keyword(s):

Working Memory ◽

Reaction Time ◽

Sleep Quality ◽

Sustained Attention ◽

Divided Attention ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Vigilance Test ◽

And Gender ◽

Good Sleep

Background: The study aims at finding whether there is any significant difference between sub-groups classified on the basis of sleep quality (good sleep quality and poor sleep quality) and gender in the performance of various cognitive functioning tests like Visual N Back Test (N Back 1and N Back 2 test) for working memory, Triad test for divided attention, Digit Vigilance Test for sustained attention and Reaction time test (simple reaction time and choice reaction time). Materials and methods: The sample consisted of 30 participants, both males (N=13) and females (N=17) in the age range between 18 to 30 years, randomly drawn from Thiruvananthapuram and Kollam districts of Kerala. The participants of the study are screened and categorized into two groups of 15 members each on the basis of the scores obtained in the Pittsburgh Sleep Quality Index (PSQI). t-test and two-way ANOVA were performed to test the significance of the hypotheses. Results: The results showed that the participants with poor sleep quality significantly differed from those with good sleep quality and committed more number of errors in the triad test of divided attention and took more time and committed more errors in the completion of the digit vigilance test of sustained attention. Conclusion: A gender advantage favoring females was seen on the test of working memory, test for sustained attention and the test for choice reaction time. An interaction between sleep quality and gender was noticed only on the test of divided attention. It was seen that males with poor sleep quality are more impaired in divided attention tasks than females with poor sleep quality.

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Poor Sleep Quality Is Associated with Dawn Phenomenon and Impaired Circadian Clock Gene Expression in Subjects with Type 2 Diabetes Mellitus

International Journal of Endocrinology ◽

10.1155/2017/4578973 ◽

2017 ◽

Vol 2017 ◽

pp. 1-8 ◽

Cited By ~ 2

Author(s):

Yuxin Huang ◽

Haidong Wang ◽

Yuan Li ◽

Xiaoming Tao ◽

Jiao Sun

Keyword(s):

Sleep Quality ◽

Circadian Clock ◽

Clock Gene ◽

Clock Genes ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Clock Gene Expression ◽

Dawn Phenomenon ◽

Circadian Clock Genes ◽

Good Sleep

Aims. We investigated whether poor sleep quality is associated with both dawn phenomenon and impaired circadian clock gene expression in subjects with diabetes. Methods. 81 subjects with diabetes on continuous glucose monitoring were divided into two groups according to the Pittsburgh Sleep Quality Index. The magnitude of dawn phenomenon was quantified by its increment from nocturnal nadir to prebreakfast. Peripheral leucocytes were sampled from 81 subjects with diabetes and 28 normal controls at 09:00. Transcript levels of circadian clock genes (BMAL1, PER1, PER2, and PER3) were determined by real-time quantitative polymerase chain reaction. Results. The levels of HbA1c and fasting glucose and the magnitude of dawn phenomenon were significantly higher in the diabetes group with poor sleep quality than that with good sleep quality. Peripheral leucocytes from subjects with poor sleep quality expressed significantly lower transcript levels of BMAL1 and PER1 compared with those with good sleep quality. Poor sleep quality was significantly correlated with magnitude of dawn phenomenon. Multiple linear regression showed that sleep quality and PER1 were significantly independently correlated with dawn phenomenon. Conclusions. Dawn phenomenon is associated with sleep quality. Furthermore, mRNA expression of circadian clock genes is dampened in peripheral leucocytes of subjects with poor sleep quality.

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MON-698 Association of Sleep Quality and Painless Diabetic Peripheral Neuropathy in Type 2 Diabetes

Journal of the Endocrine Society ◽

10.1210/jendso/bvaa046.882 ◽

2020 ◽

Vol 4 (Supplement_1) ◽

Author(s):

Dughyun Choi ◽

Bo Yeon Kim ◽

Chan-Hee Jung ◽

Chul-Hee Kim ◽

Jioh Mok

Keyword(s):

Type 2 Diabetes ◽

Peripheral Neuropathy ◽

Sleep Quality ◽

Diabetic Peripheral Neuropathy ◽

Poor Sleep ◽

Poor Sleep Quality ◽

The Poor ◽

Painful Sensation ◽

Good Sleep

Abstract Aims Diabetic peripheral neuropathy (DPN) is one of the most common and early manifested complication in T2D. Previous reports have shown that painful sensation of diabetic peripheral neuropathy (DPN) results in sleep problems in type 2 diabetes (T2D)1, 2. However, it is not known that subtype of DPN, the painless DPN also is associated with poor sleep quality in T2D. The purpose of the current study was to investigate the association between painless DPN and poor sleep quality in T2D. Methods A total of 146 patients of T2D who did not previously diagnose with symptomatic DPN were recruited into the study. Among the patients, painless DPN was diagnosed by using the current perception threshold (CPT) test. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. Results The percentage of painless DPN was significantly higher in the poor sleep quality group than the good sleep quality group (70.0% vs. 35.5%, P<0.001). In the subscale results, stimulus values in 2000 Hz, hypoesthesia and hyperesthesia were significantly higher in the poor sleep quality group, than in the good sleep quality group (45.7% vs. 25.0%, P=0.009; 34.3% vs. 18.4%, P=0.029; 40.0% vs. 19.7%, P=0.007, respectively). The association of painless DPN and poor sleep quality remained significant after adjustment for significant variants (odds ratio, 3.825; 95% confidence interval, 1.674-8.742; P<0.001). Conclusions The current study showed that painless DPN was associated with poor sleep quality. Future studies are required to clarify the pathophysiologic causal relationship between painless DPN and sleep quality. References 1. Gore M, Brandenburg NA, Dukes E, Hoffman DL, Tai K-S, Stacey B. Pain severity in diabetic peripheral neuropathy is associated with patient functioning, symptom levels of anxiety and depression, and sleep. Journal of pain and symptom management. 2005;30(4): 374-385. 2. Zelman DC, Brandenburg NA, Gore M. Sleep impairment in patients with painful diabetic peripheral neuropathy. Clin J Pain. 2006;22(8): 681-685.

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Characteristics of Sleep Quality of Nursing Students in Bali During Pandemic Covid-19

Babali Nursing Research ◽

10.37363/bnr.2021.2254 ◽

2021 ◽

Vol 2 (2) ◽

pp. 77-82

Author(s):

Putu Intan Daryaswanti ◽

Ni Made Diah Pusparini Pendet ◽

Ni Putu Eka Febianingsih

Keyword(s):

Nursing Students ◽

Sleep Quality ◽

Human Behavior ◽

Virus Disease ◽

Univariate Analysis ◽

Poor Sleep ◽

Distance Teaching ◽

Poor Sleep Quality ◽

Quality Of Nursing

Introduction: Corona Virus Disease-19 (COVID-19) has spread to 34 provinces in Indonesia. Indonesia first confirmed the case of COVID-19 in March 2020. The outbreak of the COVID-19 pandemic has made the teaching and learning process shifted to distance teaching. This activity-limiting measure in response to curbing the spread of COVID-19 has caused an unprecedented change in human behavior around the world. One of the changes in human behavior is sleep. Sleep is a physiological process that is highly dependent on the environment and social and varies greatly with stress levels. This study aimed to know the characteristics of sleep quality of nursing students during pandemic Covid-19 in Bali. Methods: This study is a descriptive study using univariate analysis. The population in this study is approximately 1,500 nursing students. Sampling technique used in this research is purposive sampling with 422 sample. Data collection tools in the form of questionnaires that are used is a sleep quality questionnaire from the Pittsburg Sleep Quality Index (PSQI). Results: The results show that most of the nursing students’ age ranged from 15-25 (94.1%), female (79.1%) and currently undergoing Bachelor of Nursing education (68%) and students of Nursing in Bali mostly have poor sleep quality (97.4%). Conclusion: Students of Nursing reported to have poor sleep quality over the last month.

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Decrease in Sleep Duration and Poor Sleep Quality over Time Is Associated with an Increased Risk of Incident Non-Alcoholic Fatty Liver Disease

Journal of Personalized Medicine ◽

10.3390/jpm12010092 ◽

2022 ◽

Vol 12 (1) ◽

pp. 92

Author(s):

Yoo Jin Um ◽

Yoosoo Chang ◽

Hyun-Suk Jung ◽

In Young Cho ◽

Jun Ho Shin ◽

...

Keyword(s):

Sleep Quality ◽

Sleep Duration ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Alcoholic Fatty Liver ◽

Increased Risk ◽

Alcoholic Fatty Liver Disease ◽

Good Sleep ◽

Over Time

The impact of changes in sleep duration and sleep quality over time on the risk of non-alcoholic fatty liver disease (NAFLD) is not known. We investigated whether changes in sleep duration and in sleep quality between baseline and follow-up are associated with the risk of developing incident NAFLD. The cohort study included 86,530 Korean adults without NAFLD and with a low fibrosis score at baseline. The median follow-up was 3.6 years. Sleep duration and quality were assessed using the Pittsburgh Sleep Quality Index. Hepatic steatosis (HS) and liver fibrosis were assessed using ultrasonography and the fibrosis-4 index (FIB-4). Cox proportional hazard models were used to determine hazard ratios (HRs) and 95% confidence intervals (Cis). A total of 12,127 subjects with incident HS and 559 with incident HS plus intermediate/high FIB-4 was identified. Comparing the decrease in sleep duration of >1 h, with stable sleep duration, the multivariate-adjusted HR (95% CIs) for incident HS was 1.24 (1.15–1.35). The corresponding HRs for incident HS plus intermediate/high FIB-4 was 1.58 (1.10–2.29). Comparing persistently poor sleep quality with persistently good sleep quality, the multivariate-adjusted HR for incident HS was 1.13 (95% CI, 1.05–1.20). A decrease in sleep duration or poor sleep quality over time was associated with an increased risk of incident NAFLD, underscoring an important potential role for good sleep in preventing NAFLD risk.

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Quality of sleep and use of computers and cell-phones among university students

Revista da Associação Médica Brasileira ◽

10.1590/1806-9282.65.12.1454 ◽

2019 ◽

Vol 65 (12) ◽

pp. 1454-1458 ◽

Cited By ~ 1

Author(s):

Diogo von Gaevernitz Lima ◽

Ana Claudia Garabeli Cavalli Kluthcovsky ◽

Luiz Gustavo Rachid Fernandes ◽

Giovane Okarenski

Keyword(s):

Medical Students ◽

Sleep Quality ◽

Computer Use ◽

Cell Phones ◽

Poor Sleep ◽

Quality Of Sleep ◽

Poor Sleep Quality ◽

Cross Sectional ◽

Good Sleep

SUMMARY OBJECTIVE Evaluate the quality of sleep and its association with the use of computers and cell-phones among medicine and dentistry students. METHODS Cross-sectional and comparative study, which evaluated 425 students through a socioeconomic questionnaire, the Pittsburgh Sleep Quality Index(PSQI), and a questionnaire on their use of computers and cell phones. RESULTS Poor sleep quality was observed in 61.4% of medical students and in 60.1% of dentistry students. Medical students with poor sleep quality had a higher mean time of computer use at night when compared to those with good sleep quality (p=0.04), as well as for computer (p<0.001) and cell phone use (p<0.01) immediately before bedtime. Dentistry students with poor sleep quality had a higher average time of computer use before bedtime than those with good sleep quality (p=0.03). CONCLUSION Students should receive guidance on prevention strategies and quality of sleep care.

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Efficacy of an m-Health Physical Activity and Sleep Intervention to Improve Sleep Quality in Middle-Aged Adults: The Refresh Study Randomized Controlled Trial

Annals of Behavioral Medicine ◽

10.1093/abm/kaz064 ◽

2020 ◽

Vol 54 (7) ◽

pp. 470-483 ◽

Cited By ~ 3

Author(s):

Anna T Rayward ◽

Beatrice Murawski ◽

Mitch J Duncan ◽

Elizabeth G Holliday ◽

Corneel Vandelanotte ◽

...

Keyword(s):

Physical Activity ◽

Sleep Quality ◽

Controlled Trial ◽

Poor Sleep ◽

Middle Aged ◽

Poor Sleep Quality ◽

Sleep Health ◽

Wait List Control ◽

Improve Sleep Quality ◽

Middle Aged Adults

Abstract Background Poor sleep health is highly prevalent. Physical activity is known to improve sleep quality but not specifically targeted in sleep interventions. Purpose To compare the efficacy of a combined physical activity and sleep intervention with a sleep-only intervention and a wait-list control, for improving sleep quality in middle-aged adults without a diagnosed sleep disorder. Methods Three-arm randomized controlled trial (Physical Activity and Sleep Health (PAS), Sleep Health Only (SO), Wait-list Control (CON) groups; 3-month primary time-point, 6-month follow-up) of 275 (PAS = 110, SO = 110, CON = 55) inactive adults (40–65 years) reporting poor sleep quality. The main intervention component was a smartphone/tablet “app” to aid goal setting and self-monitoring physical activity and/or sleep hygiene behaviors (including stress management), and a pedometer for PAS group. Primary outcome was Pittsburgh Sleep Quality Index (PSQI) global score. Secondary outcomes included several self-reported physical activity measures and PSQI subcomponents. Group differences were examined stepwise, first between pooled intervention (PI = PAS + SO) and CON groups, then between PAS and SO groups. Results Compared with CON, PI groups significantly improved PSQI global and subcomponents scores at 3 and 6 months. There were no differences in sleep quality between PAS and SO groups. The PAS group reported significantly less daily sitting time at 3 months and was significantly more likely to report ≥2 days/week resistance training and meeting physical activity guidelines at 6 months than the SO group. Conclusions PIs had statistically significantly improved sleep quality among middle-aged adults with poor sleep quality without a diagnosed sleep disorder. The adjunctive physical activity intervention did not additionally improve sleep quality. Clinical Trial information Australian New Zealand Clinical Trial Registry: ACTRN12617000680369; Universal Trial number: U1111-1194-2680; Human Research Ethics Committee, Blinded by request of journal: H-2016-0267.

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Anxiety and depressive symptoms are associated with poor sleep health during a period of COVID-19-induced nationwide lockdown: a cross-sectional analysis of adults in Jordan

BMJ Open ◽

10.1136/bmjopen-2020-041995 ◽

2020 ◽

Vol 10 (12) ◽

pp. e041995

Author(s):

Yazan A Al-Ajlouni ◽

Su Hyun Park ◽

Jude Alawa ◽

Ghaith Shamaileh ◽

Aziz Bawab ◽

...

Keyword(s):

Depressive Symptoms ◽

Sleep Quality ◽

Health Outcomes ◽

Sleep Duration ◽

Sleep Problem ◽

Poor Sleep ◽

Poor Sleep Quality ◽

Short Sleep Duration ◽

Sleep Health ◽

Short Sleep

Background Jordan, a Middle Eastern country, declared a state of national emergency due to COVID-19 and a strict nationwide lockdown on 17 March 2020, banning all travel and movement around the country, potentially impacting mental health. This study sought to investigate the association between mental health (eg, anxiety and depressive symptoms) and sleep health among a sample of Jordanians living through a state of COVID-19-induced nationwide lockdown. Methods Using Facebook, participants (n=1240) in Jordan in March 2020 were recruited and direct to a web-based survey measuring anxiety (items from General Anxiety Disorder 7-item (GAD-7) scale instrument), depressive symptoms (items from Center for Epidemiologic Studies Depression Scale), sleep health (items from the Pittsburgh Sleep Quality Index) and sociodemographic. A modified Poisson regression model with robust error variance. Adjusted prevalence ratios (aPRs) and 95% CIs were estimated to examine how anxiety and depressive symptoms may affect different dimensions of sleep health: (1) poor sleep quality, (2) short sleep duration, (3) encountering sleep problems. Results The majority of participants reported having experienced mild (33.8%), moderate (12.9%) or severe (6.3%) levels of anxiety during lockdown, and nearly half of respondents reported depressive symptoms during lockdown. Similarly, over 60% of participants reported having experienced at least one sleep problem in the last week, and nearly half reported having had short sleep duration. Importantly, anxiety was associated with poor sleep health outcomes. For example, corresponding to the dose–response relationship between anxiety and sleep health outcomes, those reporting severe anxiety were the most likely to experience poor sleep quality (aPR =8.95; 95% CI=6.12 to 13.08), short sleep duration (aPR =2.23; 95% CI=1.91 to 2.61) and at least one problem sleep problem (aPR=1.73; 95% CI=1.54 to 1.95). Moreover, depressive symptoms were also associated with poor sleep health outcomes. As compared with scoring in the first quartile, scoring fourth quartile was associated with poor sleep quality (aPR=11.82; 95% CI=6.64 to 21.04), short sleep duration (aPR=1.87; 95% CI=1.58 to 2.22), and experiencing at least one sleep problem (aPR=1.90; 95% CI=1.66 to 2.18). Conclusions Increased levels of anxiety and depressive symptoms can negatively influence sleep health among a sample of Jordanian adults living in a state of COVID-19-induced nationwide lockdown.

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Perilaku penggunaan gadget dengan kualitas tidur pada remaja

HOLISTIK JURNAL KESEHATAN ◽

10.33024/hjk.v13i3.1599 ◽

2019 ◽

Vol 13 (3) ◽

pp. 233-239

Author(s):

Umi Romayati Keswara ◽

Novrita Syuhada ◽

Wahid Tri Wahyudi

Keyword(s):

Sleep Quality ◽

Univariate Analysis ◽

Smartphone Addiction ◽

P Value ◽

Poor Sleep ◽

Research Subjects ◽

Quality Of Sleep ◽

Poor Sleep Quality ◽

Psychological Behavior

Electronic gadgets, psychological behavior and quality of sleep among adolescent Background: In the development stage, adolescents are faced with problems of health problems including poor sleep quality. Globally, the prevalence of sleep quality disorders in the world varies from 15.3% to 39.2%. Data in Indonesia shows that most of the quality of sleep in adolescents is less than 63%. Poor quality of sleep can harm health. Factors that can cause poor sleep quality include the use of gadgets, where 80% say using gadgets> 4 hours 17 minutes a day.Purpose: Known the electronic gadgets, psychological behavior and quality of sleep among adolescent.Methods: The type of research used in this study was quantitative. The design of this study used analytics. The research subjects were class X and XI students at SMKN 1 Terbanggi Besar, Central Lampung, totaling 119 people. Collect data with the Pittsburgh Sleep Quality Index (PSQI) questionnaire and Smartphone Addiction Scale (SAS). The statistical test uses the chi-square test.Results: Univariate analysis was obtained by the majority of respondents who had bad behavior in using gadgets, as many as 68 people (57.1%) and most respondents had poor sleep quality, as many as 77 people (64.7%). Analysis data resulted p-value = 0,000 and OR = 4,696.Conclusion: There were the electronic gadgets, psychological behavior and quality of sleep among adolescent. The advice is to increase health promotion counseling about sleep patterns and the excessive use of gadgets, and for schools to set regulations on the ban on the use of gadgets in-class hours. Keywords : Quality of Sleep, Gadgets, Adolescent; Psychological; BehaviorPendahuluan: Dalam tahap perkembangannya, remaja dihadapkan pada masalah-masalah kesehatan diantaranya kualitas tidur yang buruk. Secara global menunjukkkan prevalensi gangguan kualitas tidur di dunia bervariasi mulai 15,3% - 39,2%. Data di Indonesia menunjukan sebagian besar kualitas tidur pada remaja kurang terpenuhi yaitu sebanyak 63%. Buruknya kualitas tidur dapat menimbulkan dampak negatif bagi kesehatan. Faktor yang dapat menyebabkan kualitas tidur yang buruk diantaranya adalah penggunaan gadget, dimana 80% menyatakan meggunakan gadget > 4 jam 17 menit dalam sehari.Tujuan: Diketahui hubungan perilaku penggunaan gadget dengan kualitas tidur pada remaja.Metode: Jenis penelitian yang digunakan dalam penelitian ini adalah kuantitatif dengan rancangan menggunakan analitik. Subyek penelitian yaitu siswa kelas X dan XI di SMKN 1 Terbanggi Besar Lampung Tengah, yang berjumlah 119 responden. Cara pengambilan data dengan kuesioner Pittsburgh Sleep Quality Indeks (PSQI) dan Smartphone Addiction Scale (SAS). Uji stastistik menggunakan uji chi-square.Hasil: Sebagian besar responden memiliki perilaku penggunaan gadget yang tidak baik, yaitu sebanyak 68 orang (57,1%) dan sebagian besar responden memiliki kualitas tidur yang buruk, yaitu sebanyak 77 orang (64,7%). Hasil uji statistik diperoleh p-value = 0,000 dan OR= 4,696.Simpulan: Ada hubungan perilaku penggunaan gadget dengan kualitas tidur pada remaja. Perlu lebih ditingkatkannya promosi kesehatan konseling tentang pola tidur dan dampak penggunaan gadget secara berlebihan, serta bagi pihak sekolah dapat menetapkan peraturan tentang larangan penggunaan gadget di jam pelajaran.

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