scholarly journals Relationship Of Internalized Weight Stigma To Sleep Quality And Physical Activity Among College Students

2020 ◽  
Vol 52 (7S) ◽  
pp. 466-466
Author(s):  
Jonathon Whipps ◽  
John Bennison ◽  
Emily Guseman
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Weight Stigma ◽  
Relationship Of

scholarly journals The Relationship of Sleep Quality With Body Mass Index in Male College Students With and Without Regular Exercise

2020 ◽  
Vol 24 (1) ◽  
pp. 14-23
Author(s):  
Oveys Gilanian Amiri ◽  
◽  
Masomeh Habibian ◽  
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Regular Exercise ◽  
Male College ◽  
Relationship Of ◽  
The Relationship ◽  
Inactive Group ◽  
Male College Students

Background: Poor Sleep Quality (SQ) may lead to health problems through an increase in body weight and adipose tissue. Physical activity and or exercise are effective factors in SQ and obesity. Objective The current study aimed to investigate the relationship of SQ with Body Mass Index (BMI) in male college students with and without regular exercise. Methods: In this descriptive-analytical study, 100 male college students with and without regular exercise were selected using a purposive and convenience sampling method and divided into two groups of active with normal weight (n=50, BMI=21.9±1.2 kg/m2) and inactive with overweight (n=50, BMI=28.3±5.2 kg/m2) groups. The Pittsburg Sleep Quality Index (PSQI) questionnaire was used to measure SQ, where a total score of more than 5 indicates a poor SQ. The data were analyzed using Spearman correlation and Mann-Whitney U tests. Findings: Sixty percent of the students had a poor SQ. The mean score of SQ in the active group was significantly lower than in the inactive group (P<0.001). Moreover, the results showed a significant correlation between the SQ and BMI in overall (P<0.001) and in the inactive group (P=0.043), but not in the active group. Conclusion: Exercise is an effective factor for improving the SQ. Therefore, physical activity/exercise is recommended as a non-pharmacological therapy to improve SQ in overweight young men.

scholarly journals The psychophysiological effects of the COVID-19 quarantine in the college students

2021 ◽  
Vol 25 (3) ◽  
pp. 158-163
Author(s):  
Yusuf Soylu
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Musculoskeletal Pain ◽  
Online Survey ◽  
Short Form ◽  
Negative Mood ◽  
Mood States ◽  
Poor Sleep ◽  
Lower Back

Background and Study Aim. A global pandemic affected by COVID-19 resulted in restrictions to daily routines, including recreation activities, social skills, and academic and health quality of college students. This study aimed to evaluate the psychophysiological effect of coronavirus quarantine on physical activity and its’ relationship between sleep quality, mood states and musculoskeletal pain in college students. Material and Methods. A total of 392 (male = 150; female = 242; age = 22.9±5.5) college students completed an online survey. The International Physical Activity Questionnaire-Short Form (IPAQ-SF), the Brunel Mood Scale, the Pittsburgh Sleep Quality Index (PSQI) and the Visual Analogue Scale for musculoskeletal pain (MSP) were used in this study. Results. Total physical activity significantly correlation with PSQI (p < 0.05, r = -.103), fatigue (p < 0.01, r = -.344), depression (p < 0.01, r = -.258), angry (p < 0.01, r = -.210), vigour (p < 0.01, r = -.344), neck and shoulder, upper and lower back (p < 0.01, r = -.225), neck and shoulder correlation (p < 0.01, r = -.230), upper and lower back (p < 0.01, r = -.209). Furthermore, a positive correlation was shown between PSQI and negative moods and a negative correlation with positive mood. Conclusions. During quarantine, decreased physical activity was associated with higher negative mood states and poor sleep quality and more MSP. The COVID-19 quarantine has considerably affected mental health-related crisis consists of desperation, self-consciousness and deficiency of physical capabilities in young adults, especially in college students.

scholarly journals Relationship of Physical Activity With Anxiety and Depression Symptoms in Chinese College Students During the COVID-19 Outbreak

2020 ◽  
Vol 11 ◽  
Author(s):  
Ming-Qiang Xiang ◽  
Xian-Ming Tan ◽  
Jian Sun ◽  
Hai-Yan Yang ◽  
Xue-Ping Zhao ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
College Students ◽  
Depression Scale ◽  
The Self ◽  
Anxiety And Depression ◽  
Depression Symptoms ◽  
Chinese College Students ◽  
Self Rating ◽  
Relationship Of

IntroductionDuring the COVID-19 outbreak, many citizens were asked to stay at home in self-quarantine, which can pose a significant challenge with respect to remaining physically active and maintaining mental health. This study aimed to evaluate the prevalence of inadequate physical activity, anxiety, and depression and to explore the relationship of physical activity with anxiety and depression symptoms among Chinese college students during quarantine.MethodUsing a web-based cross-sectional survey, we collected data from 1,396 Chinese college students. Anxiety and depression were assessed with the Self-Rating Anxiety Scale (SAS) and the Self-Rating Depression Scale (SDS), respectively. The data on physical activity were collected by types of physical activity and the International Physical Activity Questionnaire (IPAQ-SF).ResultsDuring the COVID-19 outbreak, about 52.3% of Chinese college students had inadequate physical activity. The rates of anxiety and depression symptoms were 31.0 and 41.8%, respectively. A high level of physical activity (β = −0.121, P &lt; 0.001) was significantly closely associated with low anxiety, while a moderate (β = −0.095, P = 0.001), or high (β = −0.179, P &lt; 0.001) level of physical activity was significantly closely associated with reduced depression after adjusting confounding demographic factors. Moreover, specific types of physical activity, such as stretching and resistance training, were negatively correlated with both anxiety and depression; doing household chores was negatively correlated with depression.ConclusionOur findings highlight specific levels and types of home-based physical activities that need to be taken into consideration to protect the mental health of college students during the COVID-19 epidemic.

Physical activity and sleep quality in relation to mental health among college students

2019 ◽  
Vol 23 (2) ◽  
pp. 627-634 ◽  
Author(s):  
Amer K. Ghrouz ◽  
Majumi Mohamad Noohu ◽  
Md. Dilshad Manzar ◽  
David Warren Spence ◽  
Ahmed S. BaHammam ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
College Students ◽  
Sleep Quality

Fighting the Freshman Fifteen: Sleep, Exercise, and BMI in College Students

2020 ◽  
pp. 089011712096906
Author(s):  
June J. Pilcher ◽  
Dylan N. Erikson ◽  
Carolyn A. Yochum
Keyword(s):  
Physical Activity ◽  
College Students ◽  
Body Mass Index ◽  
Sleep Quality ◽  
Quality Factor ◽  
Sleep Duration ◽  
Body Mass ◽  
Factor Score ◽  
Sleep Efficiency ◽  
Healthy Weight

Purpose: To examine how sleep and physical activity predict body mass index (BMI) in college students. Design: Cross-sectional. Setting: Medium-sized public university in the Southeastern United States. Subjects: 386 undergraduate students (245 females; 18-25 years). Measures: Surveys included the Pittsburg Sleep Quality Index (PSQI) and Concise Physical Activity Questionnaire (CPAQ). PSQI provided 5 sleep scores: PSQI Global Score, Sleep Quality Factor Score, Sleep Efficiency Factor Score, Sleep Duration, and Habitual Sleep Efficiency. Height and weight measurements were taken to calculate Body Mass Index (BMI). Analysis: Correlational analyses were completed first. Linear and moderation regression models using CPAQ as the moderator were used to predict BMI. The Johnson-Neyman technique determined regions of significance where sleep significantly predicted BMI dependent on CPAQ score. Results: Sleep Duration significantly predicted BMI ( β = -.385, p = .043) while significant interaction terms predicting BMI were found for Global PSQI ScoreXCPAQ ( β = -.103, p = .015) and Sleep Quality Factor ScoreXCPAQ ( β = -.233, p = .013). Johnson-Neyman analyses demonstrated that better sleep quality (measured by Global PSQI and Sleep Quality Factor Scores) predict lower BMI when exercise levels are low and higher BMI when exercise levels are high. Conclusion: At low levels of exercise, better sleep quality significantly predicts lower BMI, suggesting that interventions designed to increase sleep quality could promote healthy weight maintenance in college students.

scholarly journals Association of Sedentary Behavior With Anxiety, Depression, and Suicide Ideation in College Students

2020 ◽  
Vol 11 ◽  
Author(s):  
Liyuan Jiang ◽  
Yong Cao ◽  
Shuangfei Ni ◽  
Xiang Chen ◽  
Minxue Shen ◽  
...  
Keyword(s):  
Mental Health ◽  
Physical Activity ◽  
College Students ◽  
Sleep Quality ◽  
Sedentary Behavior ◽  
Dose Response ◽  
Suicide Ideation ◽  
Mental Illnesses ◽  
Mediation Effect ◽  
Anxiety Depression

Objectives: To investigate the association of sedentary behavior with anxiety, depression, and suicide ideation in multi-centered college students in China.Methods: This was a cross-sectional study of the first-year college student population. The students underwent a questionnaire survey inquiring about sedentary behavior (hours per day) and physical activity (minutes per week) during the past year. Anxiety, depression, and sleep quality were measured by the Generalized Anxiety Disorder Scale (GAD-2), the Patient Health Questionnaire (PHQ-2), and the Pittsburgh Sleep Quality Index (PSQI), respectively. Mixed models were used to estimate the associations, and adjusted odds ratios (AORs) were presented as the effect size. Mediation effect analysis was conducted to test the mediation effect of PSQI.Results: A total of 28,298 participants (response rate: 82%) completed the survey and were included in the final analyses. Crude and adjusted estimates consistently showed that both sedentary behavior and physical activity were significantly associated with mental illnesses. Sedentary behavior was positively associated with anxiety, depression, and suicidal behavior in a dose-response manner (AOR: 0.54–0.24; ≥7 h/day as reference), independent from the effect of physical activity (AOR: 0.78–0.41; no physical activity as reference). The association of sedentary behavior with mental health was partly mediated by sleep quality (25–71%).Conclusions: There is an independent dose-response association of sedentary behavior with mental well-being among college students in China, and this association may be partially attributable to impaired sleep quality. Attention should be drawn and actions should be taken by college educators and mental health providers.

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