Preexisting Depression and Daytime Sleepiness in Women and Men

Gonsalvez, Irene; Li, J; Stevens, Caitlin; Chen, Justin A.; Liu, Cindy H.

doi:10.1080/15402002.2021.1924720

Cited by 7 publications

(5 citation statements)

References 80 publications

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“…Studies have shown that individuals with depression are more likely to drink obsessively to relieve their negative emotions due to their poor self-control, which will in turn trap them in a vicious cycle between excessive drinking and depressive disorders[ 32 ]. Third, unhealthy sleeping habits such as daytime sleepiness[ 20 , 34 ], poor sleep quality[ 21 ], and short[ 35 ] or long sleep duration[ 10 ] may lead to depressive symptoms. Fourth, unhealthy nutritional habits are also among the crucial factors that are strongly correlated with depression[ 36 ].…”

Section: Nonpathological Influencing Factors Of Depressionmentioning

confidence: 99%

Influencing factors, prediction and prevention of depression in college students: A literature review

Liu¹,

Guo²,

Zhang³

et al. 2022

WJP

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The high prevalence of depression among college students has a strong negative impact on individual physical and mental health, academic development, and interpersonal communication. This paper reviewed the extant literature by identifying nonpathological factors related to college students' depression, investigating the methods of predicting depression, and exploring nonpharmaceutical interventions for college students' depression. The influencing factors of college students' depression mainly fell into four categories: biological factors, personality and psychological state, college experience, and lifestyle. The outbreak of coronavirus disease 2019 has exacerbated the severity of depression among college students worldwide and poses grave challenges to the prevention and treatment of depression, given that the coronavirus has spread quickly with high infection rates, and the pandemic has changed the daily routines of college life. To predict and measure mental health, more advanced methods, such as machine algorithms and artificial intelligence, have emerged in recent years apart from the traditional commonly used psychological scales. Regarding nonpharmaceutical prevention measures, both general measures and professional measures for the prevention and treatment of college students' depression were examined in this study. Students who experience depressive disorders need family support and personalized interventions at college, which should also be supplemented by professional interventions such as cognitive behavioral therapy and online therapy. Through this literature review, we insist that the technology of identification, prediction, and prevention of depression among college students based on big data platforms will be extensively used in the future. Higher education institutions should understand the potential risk factors related to college students' depression and make more accurate screening and prevention available with the help of advanced technologies.

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Section: Nonpathological Influencing Factors Of Depressionmentioning

confidence: 99%

Influencing factors, prediction and prevention of depression in college students: A literature review

Liu¹,

Guo²,

Zhang³

et al. 2022

WJP

View full text Add to dashboard Cite

show abstract

“…This factor can have influenced the results, increasing the stress levels and thus the sleepiness of the students. Daytime sleepiness has been also related to depression [38], and this is the case of lockdown. In a large sample of children and adolescent the impact of lockdown on mental health has been shown to be dramatic [39] .…”

Section: Discussionmentioning

confidence: 99%

Sleepiness among Professional, Semi Professional and Students Chinese Soccer Players in the Shanghai Lockdown

You¹,

Shen²,

Liu³

et al. 2023

Preprint

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BACKGROUND. The aims of this study was to compare differences in daytime sleepiness between genders and qualification levels in a cohort university Chinese soccer player under 0 Covid policy restrictions in the urban area of Shanghai. METHODS. 491 questionnaires of Epworth Sleepiness Scales (ESS) were compiled online by males and females Soccer Students (SS), Semi-professional players (SP) and professional players (PP) during the ongoing measures of Shanghai lockdown. ANOVA was performed for players levels and gender. RESULTS. Significant differences were found between the 3 levels and between males and females. PP showed a very low score in the ESS (5,97) well below the threshold of 8, while SS and SP showed an ESS score above the threshold. Female showed higher scores than males. CONCLUSIONS. This study present the first data on sleepiness in Chinese soccer players of different level of qualification in a lockdown condition. Professional players has been less affected by lockdown measures than SS and SP. We can hypothesize the reasons resides in the more ordered lifestyle of PP in comparison to SS and SP, which mitigated the effects of the lockdown. Measures to improve sleep in females’ soccer player should be adopted.

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“…This factor can have significantly influenced the results, increasing the stress levels and thus the sleepiness of the students. Daytime sleepiness has been also related to depression [ 44 ], and this is the case of lockdown. In a large sample of children and adolescent the impact of lockdown on mental health has been shown to be dramatic [ 45 ].…”

Section: Discussionmentioning

confidence: 99%

Daytime sleepiness in Chinese professional, semi professional and students soccer players in the Shanghai lockdown

You,

Cicchella

2023

BMC Sports Sci Med Rehabil

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Purpose April-May 2021 Shanghai city was under strict lockdown. Soccer players suffered from the restrictions, being unable to train and have a social life. The aim of this study was to compare differences in daytime sleepiness between genders and qualification levels in a cohort university Chinese soccer player under 0 Covid policy restrictions in the urban area of Shanghai. Methods 491 questionnaires of Epworth Sleepiness Scales (ESS) were compiled online by male and female Soccer Students (SS), Semi-Professional players (SP) and Professional Players (PP) during the ongoing restriction measures post Shanghai lockdown. ANOVA was performed for players levels and gender. Results Significant differences were found between the 3 levels and between males and females. PP showed a very low score in the ESS (5,97) well below the threshold of 8 for daytime sleepiness, while SS and SP showed an ESS score above the threshold. Female showed higher scores in comparison to males. Differences between males and females reflect the confinement conditions in the ESS items, showing more difference in the item of ESS which are related with indoor situations. Conclusions This study shows the first data on sleepiness in Chinese soccer players of different level of qualification immediately post lockdown condition. Professional male’s players sleepiness was lower, than females, SS and SP after the exceptional lockdown measures. The reasons can reside in the more ordered lifestyle of PP in comparison to SS and SP, which mitigated the effects of the lockdown. Our results suggest that measures to improve sleep in females’ soccer player should be adopted if these exceptional conditions will happen again.

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Preexisting Depression and Daytime Sleepiness in Women and Men

Cited by 7 publications

References 80 publications

Influencing factors, prediction and prevention of depression in college students: A literature review

Influencing factors, prediction and prevention of depression in college students: A literature review

Sleepiness among Professional, Semi Professional and Students Chinese Soccer Players in the Shanghai Lockdown

Daytime sleepiness in Chinese professional, semi professional and students soccer players in the Shanghai lockdown

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