Archives of Psychiatric Nursing
Volume 26, Issue 1 , Pages 21-42, February 2012

Prevention of Depression in the College Student Population: A Review of the Literature

  • Jenna L. Buchanan

      Affiliations

    • Corresponding Author InformationCorresponding Author: Jenna L. Buchanan, Doctoral Student, 1145 Kalone Way, Lexington, KY 40515-5432

published online 09 June 2011.

Article Outline

The National Institute of Mental Health recommends that interventions be designed to prevent the onset of clinical depression in at-risk groups. College students are included in those groups identified as at risk. This article reports on 16 U.S. clinical trials, conducted with samples of college-aged students between 1987 and 2011, to identify effective depression-prevention strategies. Recommendations from the review of these studies include additional research to determine prevention strategies for the college student population and the use of evidence-based prevention strategies in nursing practice to improve the quality of life for this at-risk population.

 

APPROXIMATELY HALF OF the young adults living in the United States enroll in and receive some form of postsecondary education (U.S. Department of Education, 2005). Many have health needs. In 1998, the American College Health Association (ACHA) implemented the National College Health Assessment (NCHA) to identify the nationwide mental and physical health needs of the college student population. The NCHA study provides the largest sample and most comprehensive data available on the mental health status of college students. Findings from this study have helped identify the mental health needs of college students nationwide. Assessment and understanding are essential for campus officials and health providers to respond by cultivating healthy and safe campus communities (ACHA-NCHA, 2009). The purpose of this article is to synthesize findings of clinical trials performed in the United States within the college student population from 1987 to 2011, emphasizing findings about effective depression-prevention strategies for this at-risk group. The background on incidence and prevalence frames the study.

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Background 

Incidence and Prevalence 

In the spring of 2008, the most recent data available to the public, the ACHA-NCHA surveyed a random sample of 80,121 college students from 106 postsecondary education institutions. Data from this survey, and previous surveys from the ACHA-NCHA, have indicated that depressive disorders may be the most prevalent psychological conditions experienced by college students (see Table 1). Of the students surveyed in 2009, 14.9% (n = 11,777) reported a previous diagnosis of depression within their lifetime. Of those with a history of depression within their lifetime, 32% (n = 3,746) reported being diagnosed with depression within the previous school year (ACHA-NCHA, 2009). At the time of the study, the percentage of students who were being treated for depression was 24.5% (n = 2,870), and the percentage of students who were taking medication for depression was 35.6% (n = 4,157; ACHA-NCHA, 2009). In addition, cumulative data from the NCHA surveys conducted from 1998 through 2008 suggest that the prevalence of diagnosable depression rates among college students is rising. The surveys reveal a 4.6% increase in the number of college students diagnosed with depression over the past 10 years, shifting from 10.3% in 1998 to 14.9% in 2008 (American College Health Association-National College Health Assessment [ACHA-NCHA], 2000, American College Health Association-National College Health Assessment [ACHA-NCHA], 2009).

Table 1. Data Summary From the ACHA's 2009 NCHA Survey Results (N = 80,121)
Survey-related questionNo. of studentsPercentage of students
Of all participating students, those with a diagnoses of depression within their lifetime11,77714.9
Of students with lifetime depression diagnoses (above), those having ever been diagnosed with depression who were:
• Diagnosed within the previous school year3,74632
• Undergoing therapy for depression at time of study2,87024.5
• Taking medication for depression at time of study4,15735.6
Of all participating students, those who had at least once within the previous school year:
• Seriously considered suicide7,1419
• Attempted suicide1,0041.3
• “Felt so depressed it was difficult to function”34,04043
• “Felt hopeless”49,20862.1

Note. Adapted from ACHA-NCHA (2009). Copyright 2009 by the American College Health Association.

In addition to those identified as having been diagnosed with depression, others were identified as at-risk for depression based on responses to a series of depression symptom-related questions. To note, 43% (n = 34,040) of the respondents reported that at least once or more within the previous school year they had “felt so depressed it was difficult to function,” and more than 62% (n = 49,208) revealed they had “felt hopeless” (ACHA-NCHA, 2009, p. 485). Also significant, 9.0% (n = 7,141) of the survey respondents reported seriously considering suicide at least once in the previous school year, whereas 1.3% (n = 1,004) of students had actually attempted suicide (ACHA-NCHA, 2009).

Other studies also suggest an increase in prevalence of depressive symptoms and other psychological conditions among college students. To assess access to and utilization of mental health services for students enrolled in postsecondary education programs, a national survey of college and university counseling centers is conducted annually by the American College Counseling Association. In the most recent 2009 national survey of college and university counseling center directors, which included data collection from 302 institutions, 89.4% (n = 253) reported an increase among students who had been treated for severe psychological problems within the preceding 5 years, up from 85.8% (n = 265) reported in the 2004 survey (Gallagher, 2004, Gallagher, 2009). Similarly, Voelker (2003) found increases in the use of health care services for college students with depressive symptoms at Kansas State University. Findings indicated that there had been a 20% increase in student utilization of services for depressive symptoms from 1988 to 1992 when compared with the utilization rates from 1996 to 2001 (Voelker).

Significance, Morbidity, and Mortality 

The significance of depression cannot be overestimated. Depression can impair an individual's functioning to the extent of eight different chronic medical conditions, rendering depressed persons less able to perform as parents, employees, and/or students (Hays, Wells, Sherbourne, Rogers, & Spritzer, 1995). The depressed individual also perceives himself or herself as in worse condition than those with a physical chronic health diagnosis (Hays et al., 1995).

Among college students, depression has been associated with decreased GPA scores (Hysenbegasi, Hass, & Rowland, 2005), acute infectious illness (Adams, Wharton, Quilter, & Hirsch, 2008), increased levels of smoking (Cranford et al., 2009, Kenney & Holahan, 2008, Lee Ridner et al., 2005, Lenz, 2004), increased alcohol consumption (Miller et al., 2002, Weitzman, 2004), increased levels of anxiety (Rawson, Bloomer, & Kendall, 1994), increased self-injurious behaviors (Serras, Saules, Cranford, & Eisenberg, 2010), decreased academic productivity (Heiligenstein, Guenther, Hsu, & Herman, 1996), withdrawals from college (Meilman, Manley, Gaylor, & Turco, 1992), suicidal ideation (Arria et al., 2009), and suicide (Suicide Prevention Resource Center [SPRC], 2004).

Cost 

There is a lack of cost-related studies specifically about depression and the college population. However, studies have been performed to evaluate the costs of depression within the U.S. workforce. For instance, Stewart, Ricci, Chee, Hahn, and Morganstein (2003) compared productive work time of depressed individuals with nondepressed individuals (n = 1,127). They found that lost productive work time of depressed individuals, compared with that of nondepressed individuals, was 5.6 hours per week and 1.5 hours per week, respectively. Conclusions suggested that depressed employees may cost U.S. employers an estimated $44 billion annually, compared with only $13 billion for in nondepressed individuals (Stewart et al., 2003). Findings from an additional study estimated the total economic burden at $83.1 billion in 2000 for treating depression in the U.S. population (Greenberg et al., 2003).

The high incidence and prevalence rates among college and university students, as well as the overall morbidity, mortality, and costs of depression, help to identify college students as a vulnerable at-risk population. The National Institute of Mental Health recommends that interventions be designed to prevent the onset of clinical depression in at-risk groups (Hollon et al., 2002).

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Depression-prevention research 

Methods 

Search Process 

An electronic literature search was performed using the key words related to the aim of this review. Key words included depression, dysthymia, student, young adult, college, university, postsecondary, mental health, psychiatry, psychiatric nursing, cognitive–behavioral intervention/therapy, group therapy, and evidence-based practice. The literature search was not limited to specific years. Therefore, the earliest study included was published in 1987, whereas the most recent study was published in 2009.

The databases searched included the following: CINAHL, Medline, Pubmed, PsycInfo, Cochrane, and other internet search engines (Google and Google Scholar). Reference lists of key articles were also used and reviewed. No searching of unpublished data was performed.

Inclusion and Exclusion Criteria 

Studies were included if a primary aim of the experimental intervention was to prevent or evaluate depressive symptoms in college students. Studies were excluded if depressive symptoms were measured as a secondary outcome variable (i.e., an intervention designed to reduce anxiety that measured depressive symptoms as a secondary outcome variable). The review was limited to studies published in English and conducted within the United States. Studies involving young adults (ages 18–24 years) were also included, but no studies were found that examined young adults that were not college students. All studies reviewed were single randomized controlled trials (RCTs). Literature reviews that exclusively evaluated depression-prevention strategies within the specific population of college students were not found in the literature.

However, four related literature reviews were discovered, but each review lacked evidence presented from the most recent studies available and/or reviewed only a limited number of studies (Christensen et al., 2010, Lee, 2005, Miller & Chung, 2009, Reavley & Jorm, 2010). Of these four reviews, some included adolescents within the study population (Christensen et al., 2010), trials from other countries (Christensen et al., 2010, Reavley & Jorm, 2010), studies with no experimental treatments performed, (Miller & Chung, 2009), and/or college students dealing with other psychiatric issues such as anxiety (Christensen et al., 2010) or alcohol abuse (Reavley & Jorm, 2010). The following literature review provides a focused comprehensive assessment of depression-prevention strategies that have been evaluated through RCTs within the U.S. college student population.

Leveling and Grading the Literature 

The quality of the evidence was evaluated using the Guyatt and Rennie Rating System (2002) for the Hierarchy of Evidence, which ranges from Level I (the highest quality of evidence and includes systematic reviews of RCTs) to Level VII (the lowest quality of evidence and includes opinions of authorities and experts; see Table 2; as cited in Melnyk & Fineout-Overholt, 2005). The 16 studies included in this review were all ranked at a Level II on the Guyatt and Rennie Rating System for the Hierarchy of Evidence, which symbolizes that the evidence provided originated from at least one RCT (as cited in Melnyk & Fineout-Overholt, 2005).

Table 2. Guyatt and Rennie Rating System for the Hierarchy of Evidence
Level of evidenceEvidence obtained from:
Level ISystematic review or meta-analysis of RCTs or
Evidence-based clinical practice guidelines based on RCTs
Level IIAt least one RCT
Level IIIWell-designed non-RCTs
Level IVWell-designed case-control study or
Cohort study
Level VSystematic reviews of descriptive and qualitative studies
Level VISingle descriptive study or
Qualitative study
Level VIIOpinion of authorities or
Reports of expert committees

Note. Adapted from Melnyk and Fineout-Overholt (2005). Copyright 2005 by Lippincott Williams & Wilkins. Melnyk and Finout-Overholt created this original version of this table through modification from the following sources: Guyatt and Rennie (2002). Users' guides to the medical literature. Copyright 2001 by the American Medical Association. Reproduced with permission of The McGraw-Hill Companies; and Harris, Hefland, Woolf, et al. (2001). Current methods of the U.S. Preventive Services Task Force: A review of the process. The American Journal of Preventative Medicine. Vol. 20 (Supplement 3). Copyright 2001, reproduced with permission by Elsevier.

To grade the research, a method that is used by the third United States Preventative Services Task Force (USPSTF/Task Force) was applied (Harris et al., 2001). The method used by the USPSTF/Task Force is supported by the Agency for HealthCare Research and Quality, as well as two evidence-based practice centers (Harris et al., 2001). Evidence is scored using the alphabetical scale A through D for evaluating both the quality of the evidence and the net benefit to patients or populations. This grading system categorizes the evidence using a grid. For example, studies that are determined to be in the “A” category include those with high-quality evidence and those that would provide a substantial amount of net benefits to the population (Harris et al., 2001). On the other hand, a study with fair-quality evidence, which would not hold any net benefits to the population, is graded as a level “D,” the lowest grade (Harris et al., 2001).

In this review, all studies except one were given a grade of B. The grade B suggests that there is fair evidence that the intervention may improve important health outcomes and assist in the implementation of new policies for depression treatment options in the college student population (Harris et al., 2001). This grade was given if there was statistical significance that the intervention reduced depressive symptoms in individuals. A grade of C was given if depressive symptoms in the participants only decreased significantly halfway through the intervention and not upon completion of the program or at the 2-month follow-up. In addition, the grade of C for fair evidence was based on the implication that although the intervention might have improved health outcomes, balance of benefits to harm was too close to justify a general recommendation to the population studied (Harris et al., 2001).

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Results 

The literature search resulted in 16 studies, all of which were RCTs (see Appendix A). The smallest sample size for the studies evaluated was 37 students (Hogg & Deffenbacher, 1988), whereas the largest sample size was 227 students (Seligman, Schulman, & Tryon, 2007).

Students 

The ages of students included in the reviewed studies ranged from 17 to 53 years. However, the mean age of the students in each study was more condensed, ranging from 18.9 to 22.2 years. To note, age characteristics were not revealed in two of the studies (Seligman et al., 2007, Seligman et al., 1999).

Interventions in some studies were also targeted toward a specific academic level of students. Fourteen of the studies looked only at undergraduate students, whereas the remaining two studies evaluated both undergraduate and graduate students (Hogg & Deffenbacher, 1988, Steinhardt & Dolbier, 2008). Two studies evaluated only undergraduates at the college freshmen level (Seligman et al., 1999, Seligman et al., 2007), and three studies only assessed female college students (Bearman et al., 2003, Johansson, 1991, Peden et al., 2000, Peden et al., 2001).

Other studies recruited students with specific population indicators. For example, some researchers selectively recruited women with body concerns (Bearman et al., 2003), those who were nursing students (Johansson, 1991), or those students who had been in relationships for longer than 4 months (Braithwaite & Fincham, 2007). However, most studies with selected interventions identified college students who were at-risk for depression using some type of standardized screening tool (Cukrowicz & Joiner, 2007, Cukrowicz et al., 2009, Forsyth, 2001, Geisner et al., 2006, Gortner et al., 2006, Hogg & Deffenbacher, 1988, Pace & Dixon, 1993, Peden et al., 2000, Peden et al., 2001, Philpot & Bamburg, 1996, Roth & Holmes, 1987, Seligman et al., 1999, Seligman et al., 2007). Only one study recruited volunteers with no inclusion or exclusion criteria (Steinhardt & Dolbier, 2008).

Types of Depression-Prevention Interventions 

Several different types of depression-prevention interventions were found in the RCTs that were reviewed. They included cognitive–behavioral therapy, interpersonal-process therapy, computer training, personal feedback through mailed intervention suggestions, and exercise and stress training. None of the studies evaluated the efficacy of depression medication management as a treatment for depression in the college student population.

Of the 16 trials, 10 evaluated some form of a cognitive–behavioral intervention (CBI; Bearman et al., 2003, Forsyth, 2001, Hogg & Deffenbacher, 1988, Johansson, 1991, Pace & Dixon, 1993, Peden et al., 2000, Peden et al., 2001, Philpot & Bamburg, 1996, Seligman et al., 1999, Seligman et al., 2007, Steinhardt & Dolbier, 2008). The remaining studies either evaluated some form of computer-based education/training (Braithwaite & Fincham, 2007, Cukrowicz & Joiner, 2007, Cukrowicz et al., 2009), personalized mailed-feedback intervention suggestions (Geisner et al., 2006), expressive writing (Gortner et al., 2006), or aerobic exercise and relaxation training (Roth & Holmes, 1987).

Intervention Format and Evaluation 

The depression-prevention interventions were either carried out in a group format (Bearman et al., 2003, Forsyth, 2001, Hogg & Deffenbacher, 1988, Johansson, 1991, Peden et al., 2000, Peden et al., 2001, Roth & Holmes, 1987, Steinhardt & Dolbier, 2008), individually (Braithwaite & Fincham, 2007, Cukrowicz & Joiner, 2007, Cukrowicz et al., 2009, Geisner et al., 2006, Gortner et al., 2006, Pace & Dixon, 1993, Philpot & Bamburg, 1996), or in a mixed format (Seligman et al., 1999, Seligman et al., 2007).

Of the 16 studies reviewed, there were several different evaluation points. The time frame for intervention evaluation ranged from immediately and only postintervention (Johansson, 1991, Philpot & Bamburg, 1996, Steinhardt & Dolbier, 2008) to a total of six follow-up points over the course of 3 years (Seligman et al., 1999).

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Research implications 

Gaps in the Literature 

Depression is the most prevalent mental health disorder on college campuses, and it is a growing concern for college students (ACHA-NCHA, 2009). Moreover, there are strong recommendations for implementing depression-prevention strategies with at-risk populations and to specifically design interventions to prevent the onset of clinical depression in these groups (Hollon et al., 2002). In a recent report, the Institute of Medicine (IOM) and the National Research Council (NRC) summoned political and health care officials to make prevention of mental, emotional, and behavioral disorders in young people a very high priority (NRC & IOM, 2009).

Regardless, prevalence and incidence rates within the college student population demonstrate that interventions are lacking (American College Health Association-National College Health Assessment [ACHA-NCHA], 2000, American College Health Association-National College Health Assessment [ACHA-NCHA], 2009), and this review indicates there are considerable gaps in the literature on the prevention of depression in college students. This review also revealed that although depression interventions for the college population have been implemented and evaluated, cohesive study on these interventions is lacking. For example, only two interventions were evaluated more than once within separate populations of college students (Cukrowicz & Joiner, 2007, Cukrowicz et al., 2009, Seligman et al., 1999, Seligman et al., 2007); thus, there is limited empirical support for the interventions included in this review.

Furthermore, although most interventions were based on cognitive–behavioral approaches, no standard intervention has been developed and tested across multiple college populations and campuses. More importantly, it is inconclusive whether group, individual, or a mixed format for CBIs is more effective in preventing depression in this population.

Implications for Future Research 

Findings of this review indicate there is a need to develop a standardized, effective depression-prevention intervention that can be implemented, measured, and evaluated across multiple college and university settings with diverse student populations. Standardizing an evidence-based prevention approach would assist in establishing a formal, understandable, nationwide prevention strategy to be used in the university health setting. Through this standardization, campus and other health officials could work to incorporate effective evidence-based depression-prevention programs into the campus setting and ultimately assist college students in preventing the onset of depression, or recurring episodes of depression, and its sequelae.

In addition, depression-prevention research should be standardized, evaluating depressive symptoms with a standard screening tool, such as the valid and reliable Beck Depression Inventory (BDI; Beck, Ward, Mendelson, Mock, & Erbaugh, 1961) or the Center for Epidemiological Studies-Depression scale (CES-D; Radloff, 1977). In this way, research could be more effectively compared and evaluated to determine the most effective and evidence-based prevention strategy among college students.

Future research should primarily focus on evaluating the efficacy between individual versus group CBIs. Research aims should evaluate not only the CBI format (group, individual, or combined) but also the mode of delivery of the intervention itself (Internet/computer-based, face-to-face, e-mail, mailed letters, aerobic exercise, etc.). Evaluating a standardized intervention between different college populations will assist in building the empirical evidence needed for depression-prevention interventions in the college population. From this standardized research, national depression-prevention guidelines for this population could be developed and implemented within the college/university setting.

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Recommendations 

Academic Setting Change Recommendations 

!Academic entities are encouraged to assist and/or accommodate future research efforts in developing standardized, effective evidence-based strategies for the prevention of depression in the college student population and to increase awareness on the implications of this research. Furthermore, academic institutions should increase their awareness of the university's overall mental health status through standardized and periodic depression screening in their student population. This initial screening should act as the gateway in proactive outreach to students with depressive symptoms. Embarking on greater proactive outreach would also require the institution to actively follow these at-risk students throughout their academic careers, offer evidence-based preventative and treatment modalities through campus mental health services, increase student perception of availability and access to campus mental health resources, and effectively dispel myths regarding the use of mental health resources on campus.

Nursing Practice Change Recommendations 

As evidenced by the lack of standardized interventions and outcomes of the experimental studies included in the current literature on this topic, a single recommendation or depression-prevention strategy/intervention cannot be identified at this time.

However, because of the severity of depression and its widespread effects in this at-risk population, there is a great need for effective depression-prevention programs to be implemented and to reach the population on campuses nationwide. A call for advanced practice psychiatric nurses (APPNs) with practice or research doctorates who can assist in implementing evidence-based depression-prevention interventions within this population is greatly needed.

The studies evaluated in this review offer the current available evidence of depression-prevention strategies that have been performed in the U.S. college student population from 1987 to 2011. Although further research has been encouraged to form specific guidelines for depression-prevention strategies within this population, APPNs may use the current evidence to begin to standardize and evaluate depression-prevention services within the college student population.

APPNs are also encouraged to collaborate with researchers and other psychiatric practitioners to promote the use of evidence-based depression-prevention strategies within this population. APPNs and other nurse researchers should also contribute by clarifying and directing the path where future research will take place and should seek to develop standardized preventative practice among academic institutions. In this way, nurse practitioners and nurse researchers can assist in closing the gap between current depression-preventative practices and evidence-based practice in the college student population.

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Conclusion 

College students have been identified as an at-risk group for the development of depressive symptoms and diagnosable depression. The National Institute of Mental Health recommends that interventions be developed and implemented in at-risk groups, such as college students (Hollon et al., 2002). In addition, the IOM and the NRC have called upon the nation's health care and political leaders to adopt mental health prevention efforts as a major health concern in the young adult population (NRC & IOM, 2009). This literature review details the processes and outcomes of 16 RCTs within this population and concludes that there is a lack of standardized interventions and effective outcomes within the current literature. Therefore, additional research is recommended to determine effective depression-prevention strategies for the college student population.

Academic entities are encouraged to assist and/or accommodate future research efforts in developing standardized, effective evidenced-based strategies for the prevention of depression in the college student population and to increase awareness on the implications of this research.

Moreover, the use of evidence-based prevention strategies in nursing practice is also recommended to improve the quality of life for this at-risk population. APPNs with practice or research doctorate preparation should direct current and future depression research in the college student population, as well as assist in the formulation of evidence-based treatment guidelines for this population.

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Acknowledgments 

The author would like to acknowledge Patricia B. Howard, PhD, RN; Suzanne S. Prevost, PhD, RN; Lynne A. Hall, DrPH, RN; and Whitney Kurtz-Ogilvie for their mentorship and editing assistance in writing this article.

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Appendix A. Depression-Prevention in the College Student Population: Research Studies 

Reference and settingResearch design and interventionSamplePurpose of studyFindingsClinical implicationsEvidence levelEvidence grade
Bearman et al. (2003)
Recruitment from local colleges and universities in southwest region of the United States
RCTn = 74 CBI (n = 38) vs. waitlist controls (n = 35)To determine whether a preventive program would be effective in reducing both depressive and bulimic symptoms among university women• At 3 months follow-up, the CBI group had significantly lower scores on the BDI than the waitlist group, but not at 1 or 6 monthsBearman et al.'s 4-week CBI has potential to be used to decrease depressive symptoms in undergraduate women with body image concernsLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group design• Age: 17–20 years (M = 18.9 years) • Reduced negative affect on the Positive and Negative Affect Schedule-Expanded Form for CBI at 1- and 3-month posttest, but not at 6 monthsThis intervention should be tested in other populations to determine effectiveness
• 4 1-hour sessions• Gender: females
• Undergraduates
• Inclusion criteria: women with body image concerns
Braithwaite and Fincham (2007)
Recruitment from a large public university in northeast region of the United States
RCTn = 91 ePrep group vs. CBASP group vs. control groupTo assess the efficacy of a computer-based relationship focused preventive intervention (ePREP) relative to a depression- and anxiety-focused computer-based preventive intervention (CBASP) and a placebo-control group• At 8-week follow-up, participants in both intervention groups scored significantly lower on the BDI and the PANAS compared with the placebo-control groupThe ePrep and CBASP depression and anxiety intervention programs have potential to be used to decrease depressive symptoms in undergraduates who are in dating long-term dating relationshipsLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Individual-focused• Age: 18–28 years (M = 19.3 years) • At 8-week follow-up, participants in both intervention groups did not score significantly different on the BDI of the PANAS
• 1 1-hour computer session• Gender: male and female
• Undergraduates
• Inclusion criteria: participants who had been in a relationship 4+ months
Cukrowicz and Joiner (2007)
Recruitment from Florida State University
RCTn = 152 CBASP group (n = 81) vs. placebo group (n = 71)To examine the efficacy of a brief cognitive-behavioral psychoeducation model as an intervention for depressive and anxious symptoms, based on the CBASP• At 8-week follow-up, the CBASP group scored significantly lower on the BDI as compared to the placebo-control groupThe development of the CBASP has potential to be used as a computer-based depression-prevention intervention strategy for undergraduate students.Level II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Individual-focused• Age: 17–21 years (M = 19.2 years) • At 8-week follow-up, no significant differences were found on PANAS scores between the CBASP group and the placebo-control group
• 1 2-hour computer session and weekly e-mail reminders of program content for 8 weeks• Gender: male and female
• Undergraduates
• Inclusion criteria: participants scored <18 on BAI and <19 on BDI
Cukrowicz et al. (2009)
Recruitment from a large university in the southeastern United States
RCTn = 165 CBASP group (n = 88) vs. placebo group (n = 77)To assess the influence of a number of psychological factors on the effectiveness of an early intervention program targeting anxiety and depression in a nonclinical sample of college students• At 8-week follow-up, scores on the BDI and on the BAI were not significantly different between the CBASP group and the placebo-control group when they had positive symptoms for insomnia, PTSD, or suicide ideation.The development of the CBASP has potential to be used as a computer-based depression-prevention intervention strategy for undergraduate students who do not experience significant symptoms of insomnia, PTSD, or suicidal ideation.Level II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Individual-focused• Age: 17–20 years (M = 19.2 years) • At 8-week follow-up, when participants in the CBASP group did not experience insomnia, PTSD, or suicidal ideation, they scored significantly lower on the BDI and BAI, indicating lower depression and anxiety levels as compared to the placebo-control group
• 1 2-hour computer session and weekly e-mail reminders of program content for 8 weeks• Gender: male and female
• Undergraduates
• Inclusion criteria: participants scored <18 on the BAI and on BDI
Forsyth (2001)
Recruitment from the University of Rhode Island
RCTn = 59 experimental group (n = 31) vs. waitlist control group (n = 28)To examine the impact of a depression-prevention program based on interpersonal psychotherapy of depression• Immediately postintervention and at 3 months' follow-up, participants in the experimental group showed significantly lower depression symptoms as measured by the BDI and on the Social Adjustment Scale—Self-Report Version (SAS), whereas the waitlist control group did notThe development Forsyth's depression-prevention program has potential to be used as a group-based depression-prevention intervention for undergraduate students who are at-risk for depression. Forsyth's intervention also increases participants’ perceived social support and self-esteemLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group design• Age: 18–25 years (M = 19.1 years) • Immediately postintervention and at 3 months' follow-up, participants in the experimental group showed significantly higher perceived Social support (as measured by the ISEL) and self-esteem (as measured by the RSS), whereas the waitlist control group did not.
• 4 90-mintue sessions• Gender: male and female
• Undergraduates
• Inclusion criteria: participants that scored 10–29 (mild to moderate depressive symptoms) on the BDI
Geisner et al. (2006)
Recruitment from a large public university on the west coast of the United States
RCTn = 177 Experimental group (n = 89) vs. Attention-only Control group (n = 88)To evaluate a novel approach to brief treatment of symptoms of depression in college students, extending lessons learned with alcohol treatment• At 1-week. follow-up, scores on both the BDI and the DDS reduced in both groupsGeisner et al.'s mailed-feedback intervention for undergraduates who are at-risk for depression supports the use of personalized depression coping feedback as a low-cost, initial depression-prevention intervention strategy.Level II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Individual-focused• Age: 17–21 years (M = 19.3 years) • However, total scores on the hopelessness scale, as well as subscale scores on the DDS (showing differential depressive symptom reduction in regard to concentration/memory problems, fatigue, and negative thinking) were reduced significantly in the experimental group from baseline to 1-week follow-up, but not in the attention-only control group
• Mailed-feedback intervention group with information detailing their mood, coping strategies, and suggestions for enhancing mood• Gender: male and female
• Undergraduates
• Inclusion criteria: score of 14+ on the BDI-II
Gortner et al. (2006)
Recruitment from the University of Texas
RCTn = 90 Experimental group (n = 52) vs. attention-placebo control group (n = 38)To explore the benefits of an expressive writing intervention in reducing subsequent depression symptoms among a sample of students who had both formerly depressive symptoms and current depressive symptoms, compared to a control group of individuals who wrote about time management• At 6 months' follow-up, no significant differences were reported for symptoms overall between the experimental and control groupGortner et al.'s study shows that the effectiveness of expressive writing may be beneficial for undergraduate students who exhibit high-suppression characteristicsLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Individual-focused• Age:18–36 years (M = 19 years) • However, at 6 months' follow-up, among those participants that reported high suppression of emotions in the experimental group (those that “hold in their emotions and feelings”), there was a significant reduction in BDI scores, as compared to high-suppression individuals in the attention-placebo control group
• Three writing session for all participants; One booster writing session for half of participants• Gender: male and female
• The booster session showed no significant beneficial effects.
• Undergraduates
• Inclusion criteria: score of <13 on BDI (low current depressive symptoms) and >25 on the IDD-L (indicating formerly depressed)
Hogg and Deffenbacher (1988)
Recruitment from Colorado State University
RCTn = 37 cognitive therapy group (n = 13) vs. interpersonal therapy group (n = 14) vs. waitlist control group (n = 10)To compare cognitive (CT) and interpersonal-process (IP) group therapies in the treatment of moderate, unipolar depression in college counseling-center clients• At 4 week s (midpoint through therapy), posttreatment (8 weeks), and follow-up (4–6 weeks posttreatment), no significant differences were found between CT and IP group therapy and the waitlist control group in the reduction of depressive symptoms as measured by BDI scores, MMPI-D, and the ATQ. No significant differences were found with changes in self-esteem, using the SEIHogg and Deffenbacher's study shows that the effectiveness of CT and IP group therapy will significantly reduce depressive symptoms in the college student population; however, CT and IP therapy do not appear to reduce symptoms more effectively than no treatmentLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group design• Age: 17–28 (M = 23 years) • However, when comparing both treatment groups directly, significant reductions in depression symptoms and depression thinking were discovered, as well as increases in self-esteem at midpoint, post-treatment, and follow-up
• 8 90-minute weekly sessions• Gender: male and female
• Undergraduates and graduates
• Inclusion criteria: sought depression services at College Counseling Center and BDI screening process
Johansson (1991)
Recruitment from a private, sectarian liberal arts college (region of the United States unlisted)
RCTn = 76 Experimental group (n = 38) vs. attention-placebo control group (n = 38)To construct and evaluate a stress-management program for nursing students, to reduce symptoms of depression and anxiety• Immediately upon program completion, participants in the experimental group showed significantly reduced symptoms of anxiety, as measured by the STAI-S, and depressive symptoms, as measured by the IPAT Depression scale, when compared to the control groupThe development of Johansson's stress-management intervention has potential to be used as a group-based depression-prevention intervention for undergraduate nursing studentsLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment
• Group design• Age: 19 – 40 years (M = 22 years)
• 6 50-minute sessions (2 sessions/ week for 3 weeks)• Gender: Female
• Undergraduate
• Inclusion criteria: nursing students
Pace and Dixon (1993)
Recruitment from a large state university in the Midwest United States
RCTn = 74 Experimental group (n = 31) vs. waitlist control group (n = 43)To examine the effects of 6 to 8 sessions of Beck's cognitive therapy on mildly and moderately depressed college students' depressive symptoms and depressive self-schemata• Immediately after completion of final cognitive therapy session, and at 1-month follow-up, the experimental group scored significantly lower on the BDI, significantly reduced their number of negative self-referent judgments, and significantly improved the proportion of negative self-referent judgments recall as compared to the waitlist control groupBeck's cognitive therapy shows potential to become an effective depression-prevention intervention in the undergraduate student population who are at-risk for depressionLevel II: evidence from one RCTGrade B: Fair evidence; Intervention may improve important health outcomes and assist in implementation of new policies on depression treatment
• Individual-focused• Age: 17–27 years (M = 22.2 years)
• 6 to 8 with an average of 45 minutes for each session• Gender: male and female
• Undergraduates
• Inclusion criteria: score of 10–29 on the BDI (indicating mild to moderate depressive symptoms
Peden et al., 2000, Peden et al., 2001
Recruitment from the University of Kentucky
RCTn = 92 Experimental group (n = 46) vs. no-intervention control group (n = 46)To determine if Peden's cognitive–behavioral group intervention tool was effective in reducing negative thinking and depressive symptoms, and increasing self-esteem in college women at-risk for depression• Statistically significant evidence that the intervention group had lower depressive symptoms, fewer negative thoughts, and an increase in self-esteem at 6 months (Peden et al., 2000) and 18 months (Peden et al., 2001) after completion of the interventionPeden's 6-week cognitive–behavioral tool has potential to be used in both short-term and long-term depression-prevention therapy in college womenLevel II: evidence from at least one RCTGrade B: Fair evidence that intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group design• Age: 18–24 years • Participants in the experimental group also showed quicker reductions in depressive symptoms on a statistically significant basis when compared to the control group
• 6 weekly sessions• Gender: female • Tools used to measure depressive and self-esteem symptoms were the BDI, CES-D, CCI, and RSS
• Undergraduates
• Inclusion criteria: women at-risk for depression (scored 9+ on BDI; or 16+ on CES-D)
Philpot and Bamburg (1996)
Recruitment not specified; however, study published in reference to “Northwestern State University in Louisiana
RCTn = 60 Experimental group (n = 30) vs. no-intervention control group (n = 30)To develop an intervention to increase scores on self-esteem and to decrease scores on depression in undergraduates by increasing positive self-statements and restructuring negative self-statements into more adaptive self-statements• Immediately postintervention, the participants in the experimental group showed significantly lower scores on the BDI, as compared to the no-intervention control groupPhilpot and Bamburg's intervention has potential to be used to decrease depressive symptoms in undergraduate studentsLevel II: evidence from at least one RCTGrade B: Fair evidence that intervention may improve important health outcomes and assist in implementation of new policies on depression treatment option
• Individual-focused• Age: M = 21.4 years
• Participants practiced positive self-statements 3×/day for 2 weeks• Gender: male and female
• Undergraduates
• Inclusion criteria: scored 0.5 standard deviations below the mean on the Coopersmith Self-esteem Inventory-Adult
Roth and Holmes (1987)
Recruitment from the University of Kansas
RCTn = 55 aerobic exercise training group (n = 18) vs. relaxation training group (n = 19) vs. no-intervention control group (n = 18)To determine whether aerobic exercise training or relaxation training would be effective for reducing the deleterious effects of life stress on physical and psychological health• Midpoint through the intervention, participants involved in the exercise intervention group showed significantly lower depressive symptoms as indicated by the BDI when compared with the relaxation group and the no-intervention control groupRoth and Holmes' exercise intervention may provide as a short-term depression-prevention strategy for undergraduates who have experience multiple negative life events within a 1-year periodLevel II: evidence from at least one RCTGrade C: FAIR evidence that research results can improve health outcomes; balance of benefits to harm is too close to justify a general recommendation
• Group design• Age: M = 18.9 years • No significant differences were found between the groups immediately post-intervention or at 2 months' follow-up
• 3 30-mintue sessions per week for 11 weeks• Gender: male and female
• Undergraduates
• Inclusion criteria: reported at least five negative life events and no current exercise or relaxation training
Seligman et al. (2007)
Recruitment from the University of Pennsylvania
RCTn = 227 Experimental group (n = 102) vs. no-intervention control group (n = 125)To examine the effectiveness of a brief, classroom-based cognitive–behavioral workshop, along with ongoing Web-based materials and e-mail coaching to college students at-risk for depression• Immediately postintervention, as well as at 6 and 8 months the experimental participants scored significantly lower on the BDI than the control groupSeligman et al.'s CBI is effective in reducing depressive symptoms in the college population on a long-term basisLevel II: evidence from at least one RCTGrade B: Fair evidence that intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group and individual design• Age: (not revealed) • Experimental participants also scored significantly lower on the short self-report LIFE measure, showing fewer depressive symptoms, at both 6 months and 8 months compared with the control group
• 2 1-hour sessions per week for 3 weeks• Gender: male and female • No significant difference was found in the number of depressive episodes, as measured by the Structured Clinical Interview for the DSM-IV
–1 individual session with group leader• Undergraduates: first-year freshmen
–6 e-mails from trainers• Inclusion criteria: BDI scores ranging from 9 to 23
–Booster meetings triggered by repeated increase in BDI scores
Steinhardt and Dolbier (2008)
Recruitment from a university; however, size of the university and region of the university is not revealed
RCTn = 57 experimental group (n = 30) vs. waitlist control group (n = 27)To examine the effectiveness of a 4 week. resilience intervention to enhance resilience, coping strategies, and protective factors, as well as decrease symptomatology during a period of increased academic stress• Immediately postintervention, participants in the experimental group scored significantly lower on the CES-D compared to the control groupSteinhardt and Dolbier's resilience intervention program is effective in preventing depressive symptoms in both undergraduate and graduate college students on a short-term basisLevel II: evidence from at least one RCTGrade B: Fair evidence that intervention may improve important health outcomes and assist in implementation of new policies on treatment options
• Group design• Age: 18–53 years (M = 21 years) • Participants also had lower negative affect scores (PANAS), and scored significantly higher on the RSS (indicating higher self-esteem) compared to the control group
• 4 2-hour weekly sessions• Gender: male and female
• Undergraduates (64.9%), master's (17.5%), and doctoral (17.5%)
• No inclusion criteria
Seligman et al. (1999)
Recruitment from the University of Pennsylvania
RCTn = 225 experimental group (n = 106) vs. no-intervention control group (n = 119)To examine the preventative effects of an 8-week cognitive–behavioral program on symptoms of depression and anxiety in university students who are at-risk for depression. Also to measure mediators of any prevention effects• At 6 follow-up points, over the course of 3 years, participants in the experimental group scored significantly lower on the BDI as compared to individuals in the control group.Seligman et al.'s cognitive–behavioral program is effective in reducing the long-term effects of depressive symptoms, and may prevent future moderate and severe depressive episodes in college students. The intervention may prevent feelings of hopelessness and decrease dysfunctional attitudes in college students, as wellLevel II: evidence from at least one RCTGrade B: Fair evidence that intervention may improve important health outcomes and assist in implementation of new policies on depression treatment options
• Group and individual design• Age: (not revealed) • Although not significant, trends were forming that showed the experimental group to have fewer severe depressive episodes than those in the control group as measured by the Longitudinal Interval Follow Up Evaluation. However, the experimental group showed significantly fewer moderate depressive episodes, but no fewer severe depressive episodes
• 1 2- hour session per week for 8 weeks• Gender: male and female • The experimental group had significantly greater improvements in the cognitive measures of explanatory style (on ASQ), hopelessness (Hopelessness Scale), and dysfunction attitudes (DAS) than the control group.
–6 individual meeting with a trainer• Undergraduates: first-year freshmen
• Inclusion criteria: scored in bottom quartile on the ASQ; BDI <19; did not meet criteria for Axis I disorder

ePREP = Prevention and Relationship Enhancement Program; CBASP = Cognitive Behavioral Analysis System of Psychotherapy; PANAS = Positive and Negative Affect Schedule; BAI = Beck Anxiety Inventory; PTSD = posttraumatic stress disorder; ISEL = Interpersonal Support Evaluation List; RSS = Rosenberg Self Esteem Scale; DDS = DSM-IV-Based Depression scale; IDD-L = Inventory to Diagnose Depression-Lifetime; MMPI-D = Minnesota Multiphasic Personality Inventory-Depression Scale; ATQ = Automatic Thoughts Questionnaire; SEI = Self-Esteem Inventory—Adult Form; STAI-S = State form of the State-Trait Anxiety Inventory; IPAT = Institute for Personality and Ability Testing; CCI = Crandell Cognitions Inventory; ASQ = Attribution Style Questionnaire

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PII: S0883-9417(11)00037-9

doi:10.1016/j.apnu.2011.03.003

Archives of Psychiatric Nursing
Volume 26, Issue 1 , Pages 21-42, February 2012