Illness uncertainty and illness intrusiveness as predictors of depressive and anxious symptomology in college students with chronic illnesses

Objective: To examine predictors of psychological functioning in college students with chronic illnesses. Participants: Participants (N = 1413) included 364 students with self-reported diagnoses of asthma or allergies, 148 students with other chronic illnesses (eg, epilepsy, type 1 diabetes), and 901 healthy students. Data were collected between November 2013 and May 2015. Methods: Participants completed online measures of psychosocial functioning, including illness uncertainty, illness intrusiveness, depression, and anxiety. Results: Students with chronic illnesses other than asthma or allergies evidenced the greatest levels of anxious (p <. 05), but not depressive symptomology. Additionally, this group reported greater illness uncertainty and intrusiveness (p <. 05) compared to their peers. Uncertainty and intrusiveness independently predicted depressive and anxious symptoms for students in both illness groups. Conclusions: Compared to peers with asthma or allergies, college students with other chronic illnesses reported higher levels of anxious symptoms. Illness uncertainty and intrusiveness appear to be predictors of psychological distress, regardless of illness.     

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.     

Depression,anxiety, and tobacco use: Overlapping impediments to sleep in a national sample of college students

ABSTRACT

Objectives: To examine how tobacco use and depression/anxiety disorders are related to disturbed sleep in college students. Participants: 85,138 undergraduate respondents (66.3% female, 74.5% white, non-Hispanic, ages 18–25) from the Spring 2011 American College Health Association–National College Health Assessment II database. Methods: Multivariate analyses of tobacco use (none, intermediate, daily) and mental health (diagnosed and/or symptomatic depression or anxiety) were used to predict sleep disturbance. Results: Daily tobacco use was associated with more sleep problems than binge drinking, illegal drug use, obesity, gender, and working >20 hours/week. Students with depression or anxiety reported more sleep disturbances than individuals without either disorder, and tobacco use in this population was associated with the most sleep problems. Conclusions: Tobacco use and depression/anxiety disorders are both independently associated with more sleep problems in college students. Students with depression and/or anxiety are more likely to be daily tobacco users, which likely exacerbates their sleep problems.     

Asthma and allergy as risk factors for suicidal behavior among young adults

An association between allergic disease, depression and suicidality has been reported. Objective: To explore the relationships between suicidality and asthma, allergy, internet addiction, stress, sleep quality, pain/discomfort, and depression, among emerging adults. Participants: 929 college students completed an online survey between October 2015 and April 2017. Methods: A cross-sectional study using multivariate analysis techniques was implemented. Results: Using structural equation modeling, we found that allergies and stress were directly related to pain/discomfort; pain/discomfort was associated to poor sleep, depression, and suicidality. Sleep quality was also affected by stress; while sleep, stress, pain/discomfort, and internet addiction were directly related to depression (all p < .05). Ultimately, four factors impacted suicidality: stress, pain/discomfort, depression, and, indirectly, sleep quality (all p < .05). Although allergy had some effects, these did not reach statistical significance (p < .09). Conclusion: Findings suggest that allergy might impact suicidality indirectly through increased pain/discomfort, poor sleep, and depression.     

Victimization and suicidality among female college students

ABSTRACT

Objective: To investigate the predictive role of victimization in suicidality among college women. Participants: Female respondents to the American College Health Association National College Health Assessment II (N = 258). Methods: Multivariate logistic regression analyses examined the relationship between victimization and suicidality. Results: Emotional victimization (odds ratio [OR] = 11.79, 95% confidence interval [CI] = 2.43, 57.19, p < .01), physical victimization (OR = 6.10, 95% CI = 1.49, 25.08, p < .05), and sexual victimization (OR = 7.53, 95% CI = 2.06, 27.50, p < .01) were all significantly associated with an increased odds of suicidality even after considering the role of depression, anxiety, and stress. Conclusions: Victimization is a significant and independent predictor of suicidality among college women. Controlling for relevant psychological health–related variables, college women who reported any of the 3 types of victimization had more than 8 times the odds of suicidality compared with nonvictims.     

Meditation Lowers Stress and Supports Forgiveness Among College Students: A Randomized Controlled Trial

Objective and Participants: The authors evaluated the effects on stress, rumination, forgiveness, and hope of two 8-week, 90-min/wk training programs for college undergraduates in meditation-based stress-management tools. Methods: After a pretest, the authors randomly allocated college undergraduates to training in mindfulness-based stress reduction (MBSR; n = 15), Easwaran's Eight-Point Program (EPP; n = 14), or wait-list control (n = 15). The authors gathered pretest, posttest, and 8-week follow-up data on self-report outcome measures. Results: The authors observed no post-treatment differences between MBSR and EPP or between posttest and 8-week follow-up (p > .10). Compared with controls, treated participants (n = 29) demonstrated significant benefits for stress (p < .05, Cohen's d = -.45) and forgiveness (p < .05, d = .34) and marginal benefits for rumination (p < .10, d = -.34). Conclusions: Evidence suggests that meditation-based stress-management practices reduce stress and enhance forgiveness among college undergraduates. Such programs merit further study as potential health-promotion tools for college populations.     

Cigarette Smoking Among Korean International College Students in the United States

Abstract

Objective and Participants: This study explored (1) the prevalence of cigarette smoking among South Korean international college students in the United States, (2) differences in smoking between on- and off-campus living arrangements, and (3) predictors of an increase in smoking over time in the United States Methods: An online survey was completed by 1,201 students at 52 4-year US universities (34% response rate). Results: The overall smoking prevalence was 43.5%. The smoking rate (29.0%) of female students was higher than that (4%) of female college students in South Korea. Sex, living place, living situation, length of stay as a student in the United States, home smoking rules, campus-wide tobacco-free policies, and levels of acculturative stress, anxiety, and depression were significantly associated with an increase in smoking (p < .05). Conclusions: Given the high smoking prevalence among the South Korean students on US college campuses, targeted prevention efforts for these students may be warranted.     

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.     

Variability in measures of health and health behavior among emerging adults 1 year after high school according to college status

Objective: To examine changes in health behaviors among US emerging adults 1 year after high school. Participants: The national sample of participants (N = 1,927), including those attending 4-year college/university (n = 884), 2-year colleges/technical schools (n = 588), and no college (n = 455), participated in annual spring surveys 2013–2014. Methods: Health behaviors were assessed the last year of high school and first year of college; differences by college status controlling for previous-year values were estimated using regression analyses. Results: Relative to 4-year college attendees, those attending technical school/community college were less likely to binge drink (odds ratio [OR] = 0.57, confidence interval [CI] = 0.38–0.86) but more likely to speed (OR = 1.26, CI = 1.0–2.84), consume sodas (OR = 1.57, CI = 1.0–2.47), and report lower family satisfaction (p < .01), with marginally more physical and depressive symptoms. College nonattendees reported more DWI (driving while intoxicated; OR = 1.60, CI = 1.05–2.47), soda drinking (OR = 2.51, CI = 1.76–3.59), oversleeping (OR = 4.78, CI = 3.65–8.63), and less family satisfaction (p < .04). Conclusions: Health risk behaviors among emerging adults varied by college status.     

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.     

Selected Health Behaviors That Influence College Freshman Weight Change

Objective and Participants: The authors investigated the effect of physical activity (PA), fruit and vegetable intake, and alcohol use on 6-month weight change in 193 college freshmen (78.8% white, 88.2% women, 94.5% on a meal plan). Methods: The authors administered a Web-based survey in fall 2002 (baseline) and spring 2003 (follow-up). Results: There was an overall average weight gain of 2.5 lbs (p < .05), although only 57% reported weight gain (M = 7.1 lbs). Fruit and vegetable intake decreased (p = .034), alcohol use increased (p > .05), and PA was unchanged. Weight gain for students with body mass indexes (BMI) ≥25 kg/m² was nearly twice that of students with BMIs < 25 (p < .05). Students with low-frequency baseline PA were twice as likely to be overweight. Follow-up data showed that students reporting ≥ 4 sessions per week (ie, high frequency) of low-intensity PA were twice as likely to have healthy BMIs as students engaging in low- and moderate-frequency PA. Conclusions: PA interventions should target freshmen with BMIs ≥ 25.     

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.     

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.     

College Student Smokers' Cognitive Appraisal of High-Risk Activities

Abstract

Objective: Students who smoke are more likely to engage in risky behaviors such as binge drinking and unprotected sex (Schnieder and Morris, Environ Behav. 1999; 23:575–591). The goals of the present study were to determine whether smokers assess these behaviors as lower risk than nonsmokers, and if smoking rate influences risk perceptions. Methods: Participants were 303 college students. Cognitive Appraisal of Risky Activities (Fromme et al., Cognit Ther Res. 1997; 21:421–442) and smoking were assessed August–November, 2006. Results: Smokers reported significantly less risk, more benefit, and more involvement in risky behaviors than nonsmokers (p < .01). In hierarchical linear regression, risk perceptions moderated the association between smoking and (a) expected benefit from risky sexual behaviors (β = ?1.121, p < .05); and (b) expected involvement with illicit drugs (β = ?.313, p < .01). Conclusions: College smokers’ assessment of high-risk behaviors influenced their intended involvement. Risk perception change may therefore alter their involvement in high-risk behaviors.     

A person-centered analysis of sleep and emotion dysregulation: Short- and long-term links with depression and alcohol use

Objective: Our objective was to examine the co-occurrence of sleep problems and emotion dysregulation and its short- and long-term links to depressive symptoms and alcohol use in a sample of university students. Method: Participants included 1132 first-year university students from Southern Ontario (70.5% women). Time 1 data were collected in February/March, 2010, and Time 2 data (n?=?746) were collected in February/March, 2014. Participants were surveyed about sleep problems and emotion dysregulation (Time 1), and depressive symptoms and alcohol use (Times 1 and 2). Results: A latent class analysis revealed four groups: (1) Low Co-Occurrence, (2) Sleep Problems Only, (3) Emotion Dysregulation Only, and (4) High Co-occurrence. Group 4 had more depressive symptoms than all other groups in both the short- and long-term. Conclusions: First year university students with high co-occurrence of sleep problems and emotion dysregulation may be a target group for programs focused on reducing adjustment difficulties.     

An examination of ecological predictors of health literacy in black college students

Objective: Health literacy is a determinant of health, but disparities in health literacy persist. This study examined the influence of ecological factors on college students’ health literacy. Participants: During January 2016 a nonrandom sample of black undergraduate students (n = 298) aged 18–24 were recruited from enrollment lists at two urban universities in the Southeastern United States. Methods: Information on health literacy as well as numerous intrapersonal, social, and cultural-environment factors was obtained using an electronic questionnaire and then statistically modeled. Results: Ecological factors accounted for 28.7% of the variance in health literacy. In particular, reappraisal (B = 0.323, p < .001), suppression (B = ?0.289, p < .001), campus health education (B = 0.192, p < .05), campus tobacco culture (B = ?0.174, p < .05), and perceived norms (B = ?0.153, p < .05) directly predicted health literacy. Conclusions: Although intrapersonal factors influence health literacy, the sociocultural environment of college can also foster or hinder college students’ health literacy.     

Promoting healthy transition to college through mindfulness training with first-year college students: Pilot randomized controlled trial

Objective: Given the importance of developmental transitions on young adults' lives and the high rates of mental health issues among U.S. college students, first-year college students can be particularly vulnerable to stress and adversity. This pilot study evaluated the effectiveness and feasibility of mindfulness training aiming to promote first-year college students' health and wellbeing. Participants: 109 freshmen were recruited from residential halls (50% Caucasian, 66% female). Data collection was completed in November 2014. Methods: A randomized control trial was conducted utilizing the Learning to BREATHE (L2B) program, a universal mindfulness program adapted to match the developmental tasks of college transition. Results: Participation in the pilot intervention was associated with significant increase in students' life satisfaction, and significant decrease in depression and anxiety. Marginally significant decrease was found for sleep issues and alcohol consequences. Conclusions: Mindfulness-based programs may be an effective strategy to enhance a healthy transition into college.     

Comparing measures of general and abdominal adiposity as predictors of blood pressure in college students

Objective: To compare anthropometric measures of body mass index (BMI), waist circumference (WC), waist-to-height ratio (WHtR), and sagittal abdominal diameter (SAD) as predictors of blood pressure in college students. Participants: Students (N = 116) were recruited from November 2012 to May 2014 at an urban university and rural community colleges. Methods: Students underwent a brief physical examination during which anthropometric measures were obtained and blood pressure was measured. Covariates were measured using self-reported questionnaires. Hierarchical multiple linear regressions were used for the data analysis. Results: All anthropometric measures were predictive of systolic (SBP) and diastolic blood pressure (DBP). WC was the strongest predictor of SBP (β = .582, p < .01) explaining an additional 3–4% of the variance than BMI, WHtR, or SAD. The measures were similar in predicting DBP. WC predicted SBP independent of BMI. Conclusions: Clinicians should consider using WC to assess the risk for hypertension in college students.