Predictors of well-being among college students

ABSTRACT

Objectives: Identification of health-related risk behaviors associated with well-being in college students is essential to guide the development of health promotion strategies for this population. The purposes were to evaluate well-being among undergraduate students and to identify health-related risk behaviors that predict well-being in this population. Methods: A cross-sectional Web-based survey of undergraduate students was conducted at a metropolitan university in the Southeast United States. A total of 568 students responded (response rate 14.2%). Data were collected on health-related risk behaviors using the National College Health Assessment II. Results: Controlling demographic characteristics, the best predictive model included physical activity, current tobacco user, depression, ever received mental health services, and sleep quality, which was the strongest predictor (β = .45, p < .001). This model explained 35% of the variance in well-being. Conclusions: Interventions that promote sleep quality among college students may be most beneficial in improving well-being.     

Sleep Quality and Alcohol Risk in College Students: Examining the Moderating Effects of Drinking Motives

Abstract

Objective: Sleep problems and alcohol misuse are common issues experienced by college students that can have detrimental effects on overall health. Previous work indicates a strong relationship between poor sleep quality and alcohol risk in this population. This study explored the moderating effect of drinking motives in the relationship between global sleep quality and experience of alcohol-related negative consequences. Participants: College students (N = 1,878) who reported past-month drinking. Methods: Participants completed online surveys assessing sleep and alcohol-related behaviors. Results: Poorer sleep quality and higher drinking motives (coping, conformity, and enhancement) predicted greater alcohol-related consequences, controlling for drinking. Further, coping motives moderated the relationship between sleep quality and consequences such that participants reporting poor sleep and high coping motives experienced heightened levels of consequences. Conclusions: These findings advance the understanding of the relationship between sleep problems and alcohol-related risk and provide implications for targeted campus-based health promotion interventions.     

Hookah and Cigarette Smoking Among African American College Students: Implications for Campus Risk Reduction And Health Promotion Efforts

ABSTRACT

Objective: To identify individual and institutional risks and protections for hookah and cigarette smoking among African American (AA) college students. Participants: AA college students (N = 1,402; mean age = 20, range = 18–24 years; 75% female) who completed the Fall 2012 American College Health Association–National College Health Assessment II. Methods: Respondents were stratified into 4 mutually exclusive groups by last-30-day smoking status: cigarette-only use (5.1%), hookah-only use (5.9%), dual use (2.4%), and nonuse (86.6%). Multinomial logistic regression models identified the relative odds of exclusive and dual hookah and cigarette smoking. Results: Current hookah and cigarette smoking rates were comparably low. Age, gender identity, current substance use, interest in tobacco use information, and student population prevailed as risks and protections for hookah and cigarette smoking. Conclusions: Campus health promotion campaigns may need to tailor messages to AA students, particularly those who use substances, to underscore the health risks of hookah and cigarette smoking.     

Charlotte Attitudes Towards Sleep (CATS) Scale: A validated measurement tool for college students

Objective: Using a 4-phase study design, the present study developed and tested the Charlotte Attitudes Towards Sleep (CATS) Scale, a measurement tool for assessing sleep attitudes in college students. Participants: Participants were 706 undergraduate students recruited at a southeastern university and on a national recruitment Web site between October 2013 and April 2015. Methods: All participants completed the CATS Scale. Participants then completed either a measure of social desirability, faulty sleep beliefs, or measures of sleep and sleep hygiene. Phase 3 participants (N = 168) completed the CATS Scale 2 weeks later to examine test-retest reliability. Results: Analyses indicated that the scale was content valid, internally consistent, and independent of social desirability, yielded acceptable temporal stability, and demonstrated concurrent validity in relation to sleep behaviors and outcomes. Conclusions: The CATS Scale is a theoretically driven instrument with promising psychometric properties that may prove beneficial for future research and application efforts among college students.     

Perceived Continuing Education Needs and Job Relevance of Health Education Competencies Among Health Education and Promotion Practitioners in College Health Settings

Objective and Participants: The author conducted this study to determine college health education and promotion practitioners' perceived continuing education needs and perceived job relevance in relation to national health education responsibilities and competencies. Methods: In Spring 2006, the author invited college health education and promotion professionals to participate in an online survey, using 3 listservs. Of 276 individuals visiting the Web site, 141 participants completed the survey (51%). Participants rated their perceived training needs and job relevance for the 35 National Commission for Health Education Credentialing (NCHEC) competencies as well as preferred training formats. Results: Participants identified the following competencies as those in which they needed additional training: designing data-collection instruments, securing fiscal resources, interpreting evaluation and research results, carrying out evaluation and research plans, and developing plans for evaluation and research. They identified the following competencies as being the most relevant to their jobs: demonstrating a variety of skills in delivering strategies, interventions, and programs; using a variety of methods to implement strategies, interventions, and programs; initiating a plan of action; and using health-related information resources. The most preferred methods of obtaining additional continuing education were attending the American College Health Association annual meeting (67%) and completing home self-study print materials (67%). Conclusions: Collegiate professional organizations should offer a variety of continuing education opportunities centering on NCHEC competencies, specifically those perceived as needed by study participants.     

Prevalence of Insomnia and Its Psychosocial Correlates Among College Students in Hong Kong

Abstract

Objective: This study examined the prevalence of insomnia and its psychosocial correlates among college students in Hong Kong. Participants: A total of 529 Hong Kong college students participated in the study. Methods: Participants completed a self-reported questionnaire that included the Pittsburgh Sleep Quality Index (PSQI), the Revised Life Orientation Test, the Perceived Stress Scale, and the Beck Depression Inventory, and questions about sociodemographic and lifestyle factors. A PSQI global score equal to or greater than 5 indicated insomnia. Results: Results indicated that 68.6% of the participants were insomniacs. Adjusted regression analyses revealed that optimism, stress, and depression significantly predicted insomnia (p < .01). Conclusions: These results suggest that insomnia is very common among Hong Kong college students and associated with other psychosocial factors. This study provides preliminary data on sleep quality and risk factors for insomnia, which may be used to guide sleep hygiene promotion and intervention among college students.     

Daytime Sleepiness,Poor Sleep Quality,Eveningness Chronotype,and Common Mental Disorders Among Chilean College Students

Abstract

Objectives: To evaluate whether daytime sleepiness, poor sleep quality, and morningness and eveningness preferences are associated with common mental disorders (CMDs) among college students. Methods: A total of 963 college students completed self-administered questionnaires that collected information about sociodemographic characteristics, sleep quality characteristics, CMDs, and other lifestyle behaviors. Results: The prevalence of CMDs was 24.3% (95% confidence interval [CI] [21.5%, 27.1%]) among all students. Prevalence estimates of both excessive daytime sleepiness and poor sleep quality were higher among females (35.4% and 54.4%) than males (22.0% and 45.8%). Cigarette smoking was statistically significantly and positively associated with having CMDs (p = .034). Excessive daytime sleepiness (odds ratio [OR] = 3.65; 95% CI [2.56, 4.91]) and poor sleep quality (OR = 4.76; 95% CI [3.11, 7.29]) were associated with increased odds of CMDs. Conclusion: Given the adverse health consequences associated with both sleep disorders and CMDs, improving sleep hygiene among college students is imperative to public health.     

Effects of a sleep hygiene text message intervention on sleep in college students

Objective: To test the effectiveness of a text-message intervention to promote sleep hygiene to improve sleep in young adult college students. Participants: A convenience sample of undergraduate students from one Southwestern university (n = 96), 18–26 years old, recruited in August 2015. Methods: A 2-group pretest-posttest experimental design assigned participants to receive biweekly text messages about sleep hygiene or healthy behaviors for 6 weeks. Survey questions addressed sleep knowledge, sleep hygiene, self-efficacy for sleep hygiene, and sleep quality at baseline and posttest. Results: Though not significant, sleep quality, sleep hygiene, and sleep knowledge improved in both groups. Conclusions: Self-efficacy for sleep hygiene is a modifiable factor that may serve to improve sleep quality. Sleep quality improved in both groups. Text messaging is a feasible approach to delivering an intervention to promote healthy behaviors among young adults.     

The State of Sleep Among College Students at a Large Public University

Abstract

Objective: Data about college student sleep were collected and used to develop an education campaign to improve sleep. Participants: On-campus residents at a large state university were surveyed on 4 occasions, October 2005 to April 2007. Sample size was 675 to 1,823 students. Fall 2005 mean age = 18.5 years, SD = 1.03 (range 18–30) years. Initial survey included 935 males and 1,859 females (2005–2006). Matched pairs data (2006–2007) included 91 males and 107 females. Twenty-six males and 22 females participated in interviews. Methods: A survey administered online included the Pittsburgh Sleep Quality Index, along with an 8-question in-person interview. Results: Poor sleep interacted with academics and mental health, and an education campaign positively affected student sleep. Conclusions: Teaching students how to effectively manage sleep can improve their well-being. Sleep may also be a gateway topic for health care professionals to address sensitive health issues such as depression.     

The Benefits of Dispositional Mindfulness in Physical Health: A Longitudinal Study of Female College Students

Abstract

Objective: This article examines the relationship between dispositional mindfulness, health behaviors (eg, sleep, eating, and exercise), and physical health. Participants: Participants included 441 college women. Methods: Women completed self-report surveys at the beginning and end of a 10-week academic quarter. The study was conducted over 5 academic quarters from fall 2008 to fall 2010. Results: Findings indicated that higher levels of dispositional mindfulness were related to healthier eating practices, better quality of sleep, and better physical health. Dispositional mindfulness contributed to better physical health even after controlling for traditional health habits. Finally, bidirectional mediational relationships were found between healthy eating and dispositional mindfulness as well as between sleep quality and dispositional mindfulness when physical health was the outcome variable. Conclusions: Findings suggest that incorporating mindfulness training into programming on college campuses may be beneficial, as results indicate that dispositional mindfulness is related to positive physical health among college students.     

Multilevel analysis exploring the links between stress,depression, and sleep problems among two-year college students

Objective: This study explored the association of stress and depression with a multidimensional sleep problems construct in a sample of 2-year college students. Participants: The sample consisted of 440 students enrolled in 2-year study from Fall 2011 to Fall 2013. Methods: Participants in an obesity prevention study completed surveys assessing sleep, stress, and depression at baseline, 4, 12, and 24 months. Multilevel models predicting sleep problems were conducted to distinguish episodic from chronic reports of stress and depression. Results: Participants were primarily women (68%), white (73%), young adults (M age = 22.8), with an average of 8.4 hours of sleep per night. Neither stress nor depression was predictive of sleep quantity; however, they were predictive of sleep quality. Conclusions: Results show that sleep quality rather than sleep quantity may be the greater health concern for young adults, suggesting that intervention programs targeting depression, stress management, and healthy sleep patterns are warranted.     

An Evaluative Review of Outcome Research on Universal Mental Health Promotion and Prevention Programs for Higher Education Students

Abstract

Objective: This review is the first large-scale attempt to evaluate the effectiveness of universal promotion and prevention programs for higher education students on a range of adjustment outcomes. Participants/Methods: The current review examined 83 controlled interventions involving college, graduate, and professional students, with a focus on 3 main outcomes: social and emotional skills, self-perceptions, and emotional distress. Results/Conclusions: Skill-oriented programs that included supervised practice demonstrated the strongest benefits, thus showing promise as a successful mental health promotion and preventive intervention. In comparing different intervention strategies, mindfulness training and cognitive-behavioral techniques appear to be the most effective. Furthermore, interventions conducted as a class appear to be effective, suggesting the potential for exposing higher education students to skill training through routine curricula offerings. This review offers recommendations for improving the experimental rigor of future research, and implications for enhancing campus services to optimize student success in psychosocial—and thus ultimately academic—domains.     

Complementary Relationships Between Traditional Media and Health Apps Among American College Students

Abstract

Objective: This study explored the potential relationships between existing media and health apps for health information among college students. Participants: This study collected and analyzed a total of 408 surveys from students of 7 universities across the United States. Methods: In order to explore the research questions and test the hypotheses, quantitative data from the online survey were analyzed through hierarchical regression analyses. Results: Results from the hierarchical regression analyses indicated that the perceived credibility of health information from traditional mass media was positively and significantly associated with college students' perception of health apps. However, there was no significant effect in regards to online media. Conclusions: This study's consideration of the relationships between existing media and health apps may guide health practitioners in their strategic approaches to improve the well-being of college students.     

Flourishing: Exploring Predictors of Mental Health Within the College Environment

Abstract

Objective: To explore the predictive factors of student mental health within the college environment. Participants: Students enrolled at 7 unique universities during years 2008 (n = 1,161) and 2009 (n = 1,459). Methods: Participants completed survey measures of mental health, consequences of alcohol use, and engagement in the college environment. Results: In addition to replicating previous findings related to Keyes’ Mental Health Continuum, multiple regression analysis revealed several predictors of college student mental health, including supportive college environments, students’ sense of belonging, professional confidence, and civic engagement. However, multiple measures of engaged learning were not found to predict mental health. Conclusions: Results suggest that supportive college environments foster student flourishing. Implications for promoting mental health across campus are discussed. Future research should build on exploratory findings and test confirmatory models to better understand relationships between the college environment and student flourishing.     

The relationship between sleep and autonomic health

Abstract

Objective: To examine the relationship between sleep and resting autonomic nervous system (ANS) functioning in college students. Participants: Participants were 141 undergraduate students (52 males) recruited from a large southeastern university during September–October 2017. Methods: Participants completed self-report inventories (demographic and sleep characteristics). Resting state skin conductance (SC) and heart rate variability (HRV) were measured in a laboratory setting for ANS functioning. Results: SC was positively associated with sleep quality (p?=?0.027), sleep latency (p?=?0.040), and use of sleep medication (p?<?0.001). Analyses yielded a negative association between the standard deviation of the normal-normal interval of heart beats (SDNN) and the self-reported amount of time to fall asleep each night (p?=?0.041). Sleep efficiency was negatively correlated with low frequency HRV (p?=?0.002). Conclusions: Sleep components are associated with resting ANS activity, and targeted interventions focused on improved ANS functioning may benefit sleep quality in college students.     

Impact of a sleep course on sleep,mood and anxiety symptoms in college students: A pilot study

Objective: To examine the impact of a sleep course on sleep-related behaviors, mood, and anxiety in college students. Participants: Participants were 145 students enrolled in either the sleep course (n = 70) or a psychology course (n = 75); data were collected in September 2014, November 2014, and February 2015. Methods: Sleep characteristics and symptoms of depression and anxiety were assessed using validated questionnaires and sleep logs. Linear, logistic and proportional odds regression models were used to test course effects. Results: In November, sleep course students reported significant differences in sleep hygiene (SHI; p < .001), perceived sleep latency (PSQI; p < .05), and circadian sleep phase (MEQ; p < .05), compared to controls. In February, the sleep course students maintained most of the aforementioned gains and reported fewer symptoms of depression (CES-D; p = .05) and anxiety (BAI; p < .05). Conclusions: These positive preliminary results indicate that focused education has the potential to improve sleep among college students.