Relationship of physical activity and sleep with depression in college students

Cahuas, Ana; He, Zhonghu; Zhang, Zhanjia; Chen, Weiyun

doi:10.1080/07448481.2019.1583653

Cited by 54 publications

(46 citation statements)

References 30 publications

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“…Our results were consistent with previous studies as females had a longer sleep duration and a lower risk of inadequate sleep than males (43,44). However, in China, female students had lower sleep duration and quality than males (45). Evidence supported the correlation between short sleep duration and increased risk of smoking, drinking alcohol, risky eating behaviors, mental issues, sexual activity, and illicit drug use (36,46,47).…”

Section: Discussionsupporting

confidence: 92%

Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study

et al. 2021

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Background/Aims: Health promotion and the incorporation of health-protective behaviors in people's lifestyles have a great role in enhancing individuals' overall health and well-being. College students are at increased risk of developing unhealthy dietary and lifestyle behaviors. A cross-sectional pilot study was conducted to assess the health-risk behaviors among undergraduate college students at Jordan University of Science and Technology.Methods: The final sample included 136 students, with a mean age of 21.1 ± 2.37 years, mostly females (69%). A self-reported questionnaire was used for data collection about dietary and lifestyle behaviors among college students. The questionnaire consisted of four parts: sociodemographic characteristics, body weight classifications, lifestyle behaviors, and dietary patterns and intake, and eating behaviors.Results: Most of the students did not meet the daily recommendations for fruit (76%) and vegetable (82%) intake. Males were significantly consuming fast food more frequently (p = 0.019), and smoked cigarettes (p < 0.001) or hookah (p = 0.015) more frequently than did females. Further, the majority met the recommendations for physical activity (81%), but exceeded recommendations for sedentary behavior. Females were more likely to have normal weight or be underweight (OR = 4.865), to have a fear of weight gain (OR = 3.387), and to have the recommended sleeping hours (OR = 7.685) than were males.Conclusion: The results indicate the health-risk behaviors and the gender-related differences among college students.

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Section: Discussionsupporting

confidence: 92%

Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study

et al. 2021

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“…However, some other studies have confirmed that moderate-to-high intensity physical activity, rather than low-intensity, is associated with depressive symptoms. 29,30 It can be considered that the reason for this discrepancy may be due to the inconsistency in the assessment of physical activity intensity and lack of control of potential confounding factors. First, these previous studies evaluated physical activity intensity by self-reported feeling of fatigue 29 or walking speed, 31 which was different from the assessment method by the standardized scale of physical activity in our study.…”

Section: Discussionmentioning

confidence: 99%

“…Our evaluation of physical activity intensity took into account the effects of duration and frequency of physical activity, which helps to improve the objectivity and comprehensiveness of physical activity intensity assessment. Moreover, another study by Cahuas et al 30 used the same evaluation method of physical activity intensity, but some potential confounding factors, such as sociodemography, lifestyle, and health status, were not controlled. Thus, it is necessary to standardize and unify the evaluation methods of variables and analysis models in future work to get better comparability.…”

Section: Discussionmentioning

confidence: 99%

<p>Intensity of Physical Activity and Depressive Symptoms in College Students: Fitness Improvement Tactics in Youth (FITYou) Project</p>

Guo

Tian

Zhong

et al. 2020

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To investigate whether the physical activity at different intensities is correlated with depressive symptoms in college students. Patient and Methods: This cross-sectional study was a part of the Fitness Improvement Tactics in Youth Project, which was conducted in 2017. A total of 2,820 college freshmen aged 15-24 years were included in this study, of whom 699 (24.8%) were males and 2,121 (75.2%) were females. Depressive symptoms were measured using the Self-rating Depression Scale. Physical activity was assessed using the International Physical Activity Questionnaire-Short Form. Covariates included sociodemographic, lifestyle-related, and health-related factors. Results: A total of 560 (19.9%) college students had depressive symptoms. Total physical activity levels (METs•hour/week) were positively associated with frequency of breakfast intake (p = 0.050) but no other participant characteristics. Logistic regression analysis showed that the prevalence of depressive symptoms in the highest quartile of physical activity was lower than in the lowest quartile when adjusted for sex, age, ethnicity, only child, smoking status, alcohol use, breakfast frequency, daily sleep duration, body mass index, grip strength, and the number of metabolic syndrome components (odds ratios [95% confidence intervals (CI)]: 0.75 [0.58, 0.98], p = 0.036). Furthermore, high physical activity levels of low-intensity tended to moderately correlate to lower prevalence of depressive symptoms (odds ratios [95% CI]: Q1, 0.71 [0.55, 0.91], Q2, 0.77 [0.59, 1.01], Q3, 0.75 [0.57, 0.98], p for trend = 0.037). Associations of moderate and vigorous physical activity with depressive symptoms were not found. For secondary outcomes, sex-stratified analysis showed that similar findings were only found in females, but not males. Conclusion: This study indicated that total physical activity and low-intensity physical activity were inversely associated with depressive symptoms in Chinese college students. All these observations showed gender differences.

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“…With regard to the former, traits extraversion and conscientiousness have been found to be positively associated with higher levels of PA [41]. However, pervious work reveals mixed results concerning the relationship between depression and PA, with some studies suggesting that increased levels of depression are likely to lead to more sedentary and less active lifestyles [42], and more recent research confirming the existence of a PA to depression connection among college students [43].…”

Section: What Factors Lead To Higher Pa?mentioning

confidence: 99%

Using Fitbit data to examine factors that affect daily activity levels of college students

2021

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To date, the effect of both fixed and time-varying individual, social, psychological, environmental, and behavioral characteristics on temporal growth trends in physical activity (PA) among younger individuals remains an under-studied topic. In this paper, we address this gap in previous work by examining how temporal growth trends in PA respond to changing social, environmental, and behavioral characteristics using a large sample of college students (N = 692) who participated in the NetHealth project at the University of Notre Dame and from which fine-grained longitudinal data on physical activity and social interaction were collected unobtrusively via the use of wearables for 637 days (August 16, 2015 to May 13, 2017). These data are augmented by periodic survey data on fixed sociodemographic and psychological variables. We estimate latent growth-curve models for daily activity status, steps, active minutes, and activity calories. We find evidence of both a generalized friendship paradox and a peer effect for PA, with the average PA level of study participants’ contacts being on average larger than their own, and with this average level exerting a statistically significant effect on individual PA levels. Notably, there was limited evidence of temporal growth in PA across the 637 days of observation with null temporal effects for three out of the four PA indicators, except for daily steps taken. Finally, we find that social, psychological, and behavioral factors (e.g., large network size, high extroversion levels, and more courses taken) are systematically associated with higher PA levels in this sample. Overall, our findings highlight the importance of social, environmental, and behavioral factors (such as peer networks and daily sociability) in modulating the dynamics of PA levels among college students.

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Relationship of physical activity and sleep with depression in college students

Cited by 54 publications

References 30 publications

Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study

Health-Risk Behaviors and Dietary Patterns Among Jordanian College Students: A Pilot Study

<p>Intensity of Physical Activity and Depressive Symptoms in College Students: Fitness Improvement Tactics in Youth (FITYou) Project</p>

Using Fitbit data to examine factors that affect daily activity levels of college students

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