Factors associated with poor sleep quality in the Korean general population: Providing information from the Korean version of the Pittsburgh Sleep Quality Index-Reference-Cited by-同舟云学术

Factors associated with poor sleep quality in the Korean general population: Providing information from the Korean version of the Pittsburgh Sleep Quality Index

Published:2020-06 Issue: Volume:271 Page:49-58
ISSN:0165-0327
Container-title:Journal of Affective Disorders
language:en
Short-container-title:Journal of Affective Disorders

Author:

Lee Soon Young,Ju Yeong Jun,Lee Joo Eun,Kim Young Taek,Hong Seung Chul,Choi Yun Jung,Song Min Kyoung,Kim Hye Yun

Publisher

Elsevier BV

Subject

Psychiatry and Mental health,Clinical Psychology

Reference48 articles.

1. Sex differences in anxiety and depression clinical perspectives;Altemus;Front. Neuroendocrinol.,2014

2. Sleep following alcohol intoxication in healthy, young adults: effects of sex and family history of alcoholism;Arnedt;Alcoholism,2011

3. Subjective sleep quality in urban population;Asghari;Arch. Iran. Med.,2012

4. Associations of subjective sleep quality with depression score, anxiety, physical symptoms and sleep onset latency in students;Augner;Cent. Eur. J. Public Health,2011

5. Sleep and mental disorders: a meta-analysis of polysomnographic research;Baglioni;Psychol Bull,2016

Cited by 60 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. The Effect of Urban Gardening Activities on Physical Activity and Sleep Quality in Middle-Aged Women;Journal of People, Plants, and Environment;2024-08-31

2. Sivas Cumhuriyet Üniversitesi Tıp Fakültesi Dönem 1, 2 ve 3 Öğrencilerinde İnternet Bağımlılık Düzeyinin Uyku Bozukluğu ile İlişkisi ve Etkileyen Faktörler;Cumhuriyet Üniversitesi Sağlık Bilimleri Enstitüsü Dergisi;2024-08-31

3. Schlafbezogene Metakognitionen im transdiagnostischen Kontext;Somnologie;2024-08-21

4. Gut microbiome and metabolic pathways linked to sleep quality;Frontiers in Microbiology;2024-07-31

5. Enhancing construction safety: predicting worker sleep deprivation using machine learning algorithms;Scientific Reports;2024-07-08