Sleep disorder risk factors among student athletes

Monma, Takafumi; Andõ, Akira; Asanuma, Tohru; Yoshitake, Yutaka; Yoshida, Goichiro; Miyazawa, Taiki; Ebine, Naoyuki; Takeda, Satoko; Omi, Naomi; Satoh, Makoto; Tokuyama, Kumpei; Takeda, Fumi

doi:10.1016/j.sleep.2017.11.1130

Cited by 45 publications

(46 citation statements)

References 28 publications

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“…In cross-sectional studies with children, as well as with adults, bedtime mobile phone use (in the broad definition, above) was associated with later bedtimes [16,22,31,82,85,88,93,223,263], longer sleep onset latency [53,79,112,223,293], shorter sleep duration [14,15,22,36,71,82,86,148,161,202,210], insomnia or sleep problems [5,14,79,85,97,144,199,202,205,235,269,293], reduced sleep quality or sleep efficiency [5,32,53,71,79,82,83,167,202,205], and reduced daytime functioning or tiredness [79,86,93,112,121,202,223,242,248,277,293]. In one study, keeping the phone close, rather than placing the phone at a distance from the bed, was associated with less sleep problems [235].…”

Section: Resultsmentioning

confidence: 99%

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Thomée

2018

IJERPH

233

147

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The purpose of this study was to carry out a review of observational studies that consider links between mobile phone use and mental health from a psychological or behavioral perspective. Systematic literature searches in PubMed and PsycINFO for articles published until 2017 were done. Exclusion criteria included: papers that considered radiofrequency fields, attention, safety, relational consequences, sexual behavior, cyberbullying, and reviews, qualitative, and case or experimental studies. A total of 4738 papers were screened by title and abstract, 404 were retrieved in full text, and 290 were included. Only 5% had any longitudinal design. Self-reporting was the dominating method of measurement. One third of the studies included children or youth. A majority of adult populations consisted of university students and/or self-selected participants. The main research results included associations between frequent mobile phone use and mental health outcomes, such as depressive symptoms and sleep problems. Mobile phone use at bedtime was associated with, e.g., shorter sleep duration and lower sleep quality. “Problematic use” (dependency) was associated with several negative outcomes. In conclusion, associations between mobile phone use and adverse mental health outcomes are found in studies that take a psychological or behavioral perspective on the exposure. However, more studies of high quality are needed in order to draw valid conclusions about the mechanisms and causal directions of associations.

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Section: Resultsmentioning

confidence: 99%

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Thomée

2018

IJERPH

233

147

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“…Sleep is affected by a variety of factors, including the specific hypoxic environments 18,27,28 . Thus, acute high-altitude exposure is a great challenge for individuals from lower altitudes in sleep at high altitude 4 .…”

Section: Discussionmentioning

confidence: 99%

The onset of sleep disturbances and their associations with anxiety after acute high-altitude exposure at 3700 m

et al. 2019

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Sleep disturbances and psychiatric repercussions pose great challenges at high altitude; however, few studies have investigated sleep disturbance and anxiety profiles and their associations after acute exposure in consecutive patients. Thus, we aimed to study the profiles of sleep disturbances in consecutive patients after high-altitude exposure and the association of such disturbances with anxiety. A total of 668 participants were recruited at sea level and 3700 m. The trials were performed at sea level (1 week prior to a 2-h flight to a high-altitude destination) and at 3700 m (24, 72, and 168 h). Sleep disturbances were assessed by self-reported sleep patterns and scores on the Athens Insomnia Scale (AIS). State anxiety was assessed using the Self-Rating Anxiety Scale (SAS). In our study, the incidence of sleep disturbances increased significantly after acute high-altitude exposure (65.3%, 434/668) and then gradually decreased after 72 h (50%, 141/282) and 168 h (44%, 124/282). The sleep assessments AIS [2.0 (4.0) vs. 4.0 (5.0)] and ESS [4.0 (4.0) vs. 5.0 (5.0)] increased significantly ( p < 0.05). Also, the SAS increased significantly from 26.25 (3.75) to 28.75 (7.5). The SAS was significantly high in sleep disturbance group [31.25 (7.5) vs. 27.5 (5), p < 0.001] than in the non-sleep- disturbance group. The baseline SAS and AIS scores were significantly higher in participants with sleep disturbances than in those without ( p < 0.01). Age, baseline insomnia, sleepiness, fatigue, and higher SAS were predictors of sleep disturbances in univariate regression (all p values < 0.05). However, only an older age ( p = 0.045) and a higher baseline SAS ( p = 0.018) remained independent predictors of sleep disturbances. Our findings indicated that acute high-altitude exposure triggers the onset of sleep disturbances, which are closely associated with anxiety. Furthermore, baseline state anxiety and age are independent predictors of sleep disturbances at high altitude.

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“…Previous research has found that elite athletes have poor sleep quality [ 9 , 15 , 16 , 17 ]. For example, more than 55% of athletes in the Bobsleigh Canada Skeleton team were flagged as being poor sleepers [ 9 ].…”

Section: Introductionmentioning

confidence: 99%

Sleep Quality and Chronotype Differences between Elite Athletes and Non-Athlete Controls

2018

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Previous research has found that elite athletes have insufficient sleep, yet the specific kinds of sleep disturbances occurring as compared to a control group are limited. Here we compare the subjective sleep quality and chronotype of elite athletes to a control group of non-athlete good sleepers. Sixty-three winter Canadian National Team athletes (mean age 26.0 ± 0.0; 32% females) completed the Pittsburgh Sleep Quality Index (PSQI) and the Athlete Morningness Eveningness Scale. They were compared to 83 healthy, non-athlete, good-sleeper controls (aged 27.3 ± 3.7; 51% females) who completed the PSQI and the Composite Scale of Morningness. The elite athletes reported poorer sleep quality (PSQI global score 5.0 ± 2.6) relative to the controls (PSQI global score 2.6 ± 1.3), despite there being no group difference in self-reported sleep duration (athletes 8.1 ± 1.0 h; controls 8.0 ± 0.7 h). Further, athletes' chronotype distribution showed a greater skew toward morningness, despite there being no group differences in self-reported usual bedtime and wake time. These results suggest that a misalignment of sleep times with circadian preference could contribute to poorer sleep quality in elite athletes.

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Sleep disorder risk factors among student athletes

Cited by 45 publications

References 28 publications

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

Mobile Phone Use and Mental Health. A Review of the Research That Takes a Psychological Perspective on Exposure

The onset of sleep disturbances and their associations with anxiety after acute high-altitude exposure at 3700 m

Sleep Quality and Chronotype Differences between Elite Athletes and Non-Athlete Controls

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