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relationship between poor sleep quality and physical health symptoms Sleep is essential not only for work but also for living ( Duran, Matter, Bravo, Moreno, & Reyes, 2014 ; Galambos, Vargas Lascano, Howard, & Maggs, 2013 ; Magnavita & Garbarino

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References Adams , S. K. & Kisler , T. S. ( 2013 ). Sleep quality as a mediator between technology-related sleep quality, depression, and anxiety . Cyberpsychology

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Introduction Several studies have reported that physical activity has a small to moderate sleep-improving effect [ 1 – 3 ], and it has a significant, large, positive effect on subjective sleep quality [ 4 , 5 ]. Furthermore

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related to many detrimental psychological and behavioral problems such as anxiety, depression, stress, impulsivity, poor sleep quality, and maladaptive behavioral difficulties ( Demirci, Akgonul, & Akpinar, 2015; Thomee, 2018 ). Based on published

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(e.g., Alimoradi et al., 2019; Lam, 2014 ). The predictive effect of IA on subjective sleep quality (measured by the Pittsburgh Sleep Quality Index) has been explored in several large sample cross-sectional studies among college students (e

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Journal of Behavioral Addictions
Authors:
Péter Simor
,
András Harsányi
,
Kata Csigó
,
Gergely Miklós
,
Alpár Sándor Lázár
, and
Gyula Demeter

.70. Within 5 days of admission, prior to commencing the treatment, patients completed on a voluntary basis, a questionnaire-battery consisting of scales that measure sleep quality, chronotype, and mental health indices (see below). The data of three OCD

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sleep quality of students who have overused the virtual networks, due to the importance of this issue and the prevalent use of cell phone and social networks among different people, especially among students, and also considering the effects of these

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Journal of Behavioral Addictions
Authors:
Kun-Chia Chang
,
Yun-Husan Chang
,
Cheng-Fang Yen
,
Jung-Sheng Chen
,
Po-Jen Chen
,
Chung-Ying Lin
,
Mark D. Griffiths
,
Marc N. Potenza
, and
Amir H. Pakpour

problematic smartphone use and social functioning, as well as considering sleep quality and self-stigma, were the focus of the present study for the following reasons. Individuals with schizophrenia often experience impaired social functions, which may further

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Jelen tanulmányban bemutatjuk a Groningen Alvásminőség Skála (Groningen Sleep Quality Scale) magyar verziójának 201 személy adatain nyugvó pszichometriai jellemzőit. A skálát két független mintán — 123 egyetemista és 78 pszichiátriai beteg által kitöltött kérdőív alapján — vizsgáltuk meg. A Groningen Alvásminőség Skála belső reliabilitása mindkét minta esetében kifejezetten jónak bizonyult, a Cronbach alfa értéke mindkét esetben meghaladta a 0,85-ös értéket. A skála validitás vizsgálatát 4 különböző kérdőív — a WHO jóllét kérdőív rövidített változata (WBI-5), a Beck Depresszió Kérdőív rövidített változata (BDI-R), a Szubjektív Testi Tünet Skála (PHQ-15) és a Vonásszorongás kérdőív (STAI-T) segítségével végeztük el. A négy kérdőív adatai és az egyes kérdőívek alvásminőségre vonatkozó tételei mindkét mintán szignifikáns és közepesen erős korrelációt mutattak a Groningen Alvásminőség Skálán nyert eredményekkel. A skála bináris logisztikus regresszió analízise alapján a WHO-5, a PHQ-15 és (tendenciaszinten) a BDI-R szignifikáns hatása a teljes variancia egynegyedét magyarázta meg. Az eredmények alapján a Groningen Alvásminőség Skála magyar verziója kifejezetten jó pszichometriai jellemzőkkel bír, ezért úgy véljük, hogy a skála értékesen bővítheti a szubjektív alvásminőséget vizsgáló mérőeszközök sorát.

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Sleep deprivation affects the homeostasis of the physiological functions in the human organism. Beer is the only beverage that contains hops, a plant which has a sedative effect. Our objective is to determine the improvement of subjective sleep quality using the Pittsburgh Sleep Quality Index (PSQI). The sample was conducted among a population of 30 university students. The study took place during a period of 3 weeks, the first 7 days were used for the Control, and during the following 14 days the students ingested beer (were asked to drink non-alcoholic beer) while having dinner. The results revealed that Subjective Sleep Quality improved in the case of those students who drank one beer during dinner compared to the Control, this is corroborated by the fact that Sleep Latency decreased (p < 0.05) compared to their Control. The overall rating Global Score of Quality of Sleep also improved significantly (p < 0.05). These results confirm that the consumption of non-alcoholic beer at dinner time helps to improve the quality of sleep at night.

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