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Interpersonal Counseling for College Students: Pilot Feasibility and Acceptability Study

Abstract

Objective:

University counseling centers struggle to meet the growing demand for mental health treatment by students in distress. More acutely distressed students typically receive priority, whereas those with mild to moderate depression often face longer wait times and fewer available therapy sessions. For this reason, interpersonal counseling for college students (IPC-C) was created as a brief manualized psychotherapy, suitable for students with mild to moderate depression, that maintains the core components of interpersonal counseling and integrates components from interpersonal psychotherapy for adolescents and other developmentally appropriate techniques. This article describes a pilot trial of IPC-C.

Methods:

IPC-C is delivered in three to six psychotherapy sessions focused on alleviating depressive symptoms and increasing social support. Ten participants from two university counseling centers were recruited to receive IPC-C. The inclusion criterion was a Patient Health Questionnaire-9 (PHQ-9) score of 5–14, indicating mild to moderate depression. Participants completed the PHQ-9 at each session, the College Adjustment Test at baseline and termination, and the IPC Satisfaction Scale at termination.

Results:

Nine of the 10 participants completed the study, attending an average of five therapy sessions each. Participants agreed that the number of sessions was appropriate and indicated satisfaction with the IPC-C intervention. Participants exhibited significantly reduced depression severity (Cohen’s d=2.45) and significantly improved college adjustment (d=0.92).

Conclusions:

In this pilot trial, IPC-C was found to be a feasible and acceptable intervention for university-based treatment of young adults with mild to moderate depressive symptoms. IPC-C holds promise as a potentially effective intervention for this population and warrants further study in a randomized trial.

Highlights

  • Interpersonal counseling for college students (IPC-C) is a brief manualized intervention intended to reduce the burden placed on college counseling centers.

  • The intervention combines ideas from interpersonal counseling, interpersonal psychotherapy for adolescents, cognitive-behavioral therapy for social anxiety, and insights from developmental approaches to emerging adulthood.

  • This pilot study demonstrates IPC-C’s feasibility, acceptability, and efficacy in treating mild to moderate depression of college students.

College-age students are generally at increased risk for experiencing psychopathology (13). They are at an age when first episodes of depression, bipolar disorder, or psychosis often occur. Moreover, in many cases they have little social support available to them, as they are often—and frequently for the first time—living away from their familiar social and family networks. This period, nestled between adolescence and adulthood, is also a vulnerable developmental stage, rife with academic and social stressors. On one hand, this period of emerging adulthood (4) is a unique time, full of opportunity to explore, marked by greater freedom and independence, and relatively free of the responsibilities brought on by mature adulthood (5, 6). On the other hand, not everyone enters this period equipped with the skills needed to navigate the transitions it brings, such as independent decision making and self-care, forging new social connections, connecting with appropriate support systems, and coping amidst profound changes (6, 7). For these reasons, most university campuses offer some counseling and support services to their student population.

Recent years, however, have seen profound changes in the volume and nature of referrals handled by university counseling centers (8). Dramatic increases in the number of students seeking treatment at such centers (9, 10) have been accompanied by a sharp rise in the severity of symptoms reported by these students (1, 1113). Prevalence rates of depression among college students have been found to be higher than those of the general population. For example, one systematic review (14) of studies has estimated the rate of depression among students to be as high as 30%. The high demand for treatment inevitably leads counseling centers to prioritize providing care to students with more urgent cases. Consequently, students with mild to moderate depression may experience longer wait times, receive fewer counseling sessions, or both (1517). Unfortunately, depression symptoms may worsen if treatment is delayed (18). This problem could be alleviated, at least in part, if counseling centers implemented brief interventions appropriate for this large group of students in need. (Note that in this article, we use the term “university” to refer to postsecondary educational institutions and the term “college” or “college aged” to refer to students at such institutions, whether they are pursuing undergraduate or graduate degrees).

To develop interpersonal counseling for college students (IPC-C), the first author (A.K.R.) began by using the then-available version of the interpersonal counseling manual (19, 20). IPC is a modification of interpersonal psychotherapy (IPT) (2123) and is itself a short-term, evidence-based psychotherapy for major depressive disorder and other psychiatric conditions. IPT and IPC focus on the patient’s current life events, including social and interpersonal functioning, as a means of understanding and treating depressive symptoms (24). Unlike IPT, IPC was intentionally designed to be delivered in a briefer and more flexible manner, often by non–mental health workers. Specifically, IPC was initially developed for use by nurses in primary care settings as a tool for screening and intervening in depression (25). Over time, it was further adapted for use in other non–mental health settings where professionals may have direct contact with individuals at risk for depression (20). Additional adaptations of IPC (26) have taken a transdiagnostic approach to treat symptoms of distress, both physical and mental, across diagnoses. IPC was chosen as the foundation for this work because its model and treatment characteristics offered a good fit for the needs of university counseling centers in this era of large patient volume and insufficient resources. Furthermore, one study had examined IPC within a university counseling environment. In that randomized controlled crossover trial conducted with Japanese undergraduates reporting subthreshold depression, Yamamoto and colleagues (27) compared IPC to counseling as usual. The IPC group (but not the counseling-as-usual group) was found to have a significant decrease in depressive symptoms and marginally better self-reported coping.

The IPC-C manual used in the present study included several adaptations to the intervention’s length, pacing, and target population. IPC-C was designed to provide three to six counseling sessions for students with mild to moderate depression, with specific guidance to reduce the time between sessions when possible. This recommendation was based on several recent studies (2830) suggesting that closer spacing of evidence-based treatment sessions improves overall depression outcomes. Importantly, this finding runs counter to common practice in counseling centers, in which treatment-seeking students are often waitlisted or seen less frequently, according to symptom severity.

IPC-C also incorporated techniques drawn from interpersonal psychotherapy for adolescents with depression (IPT-A) (31), which are well suited for treating emerging adults, and addressed the development of specific skills relevant to this population (e.g., self-care and forming social connections). These considerations are described further in the Methods section below. All adaptations were made to address characteristics that are common to students seeking help in college and university counseling centers (at least in North America), including considerable co-occurrence of mild depression with social anxiety, both of which can be exacerbated when students move away from home to a college environment.

Methods

Study Overview

We set out to conduct a pilot study examining the feasibility, acceptability, and effectiveness of IPC-C. Our a priori expectation was a ≥80% retention rate and an average satisfaction score ≥5 on a 6-point satisfaction scale, with higher scores indicating greater satisfaction. We also expected to find a clinically significant reduction in depressive symptoms and a rise in adjustment to college life.

Participants and Recruitment

Participants were 10 students seeking treatment (January through June 2017) at the counseling centers of two separate higher education institutions located on the U.S. East Coast. Approval was obtained from both institutions’ institutional review boards, and consent was obtained from all participants. The inclusion criterion was a Patient Health Questionnaire–9 (PHQ-9) score of 5–14, which reflects mild to moderate depression. Exclusion criteria were any significant risk of danger to self or others, as well as any diagnosis of a psychotic, eating, or substance dependence or use disorder. If participants were to develop more severe depression (defined as a PHQ-9 score ≥15), they would be withdrawn from the study and referred for necessary and appropriate care; this did not occur with any of the participants. Participants’ ages ranged from 18 to 28 (mean±SD=20.0±2.0). Most of the participants were women. At both counseling centers, diagnostic impressions were obtained thorough intake interviews. All participants were assessed as having one of the following conditions: dysthymia, adjustment disorder with depressed mood, major depressive disorder, or bereavement. Participants ranged from first-year students to graduate-level students.

Measures

Feasibility and acceptability.

Feasibility was assessed by using the rate of study completion among intent-to-treat participants. Acceptability was assessed with the IPC Satisfaction Scale, which includes 10 Likert-scored items (ranging from 0 to 6, with higher scores indicating greater satisfaction) inquiring about the therapeutic alliance, satisfaction with the length and frequency of sessions, and overall satisfaction with IPC-C. This measure, completed after the last session, was modified from the satisfaction questionnaires used in the Treatment for Adolescents with Depression Study (32) and the Interpersonal and Social Rhythm Therapy for Adolescents with Bipolar Disorder study (33).

Depressed mood.

Depression was assessed with the PHQ-9 (34), a self-report depression screening and severity instrument, which has demonstrated good reliability and validity. PHQ-9 scores of 5–14 reflect mild to moderate depression, and scores ≥20 reflect severe depression. The measure was completed at the beginning of every IPC-C session.

Social functioning.

The College Adjustment Test (CAT) (35), a 19-item self-report scale, was used to assess adjustment to college. It is composed of three subscales that reflect participants’ adjustment-related positive affect (e.g., “liked your roommate[s]”), negative affect (e.g., “felt depressed”), and levels of homesickness (e.g., “missed your home”) over the past week. The measure was completed prior to the first session and after the last session. Responses were reported on a 7-point Likert-type scale. Negatively worded items were reverse-scored to obtain a total adjustment score.

Intervention

IPC-C was developed for use with students receiving services in university counseling centers. This intervention adheres to the core components of IPT and IPC (26), spanning three treatment phases (initial, middle, and termination). (The unpublished manual is available by request from the first author [A.K.R.].) During the initial phase, the therapist provides psychoeducation about depression, likens it to a medical illness, and conducts an interpersonal inventory, which is a register of the key relationships in the individual's life. Through the interpersonal inventory, the patient’s social functioning problems are identified and then attributed to one of four problem areas: role disputes, interpersonal role transitions, interpersonal deficits, and grief. In the middle phase, the therapist focuses the work on resolving social functioning problems (e.g., by practicing alternative methods for communication, recognizing and regulating affect, or problem solving interpersonal challenges). During the termination phase, the therapist notes the patient's accomplishments, jointly explores with the patient how he or she can continue applying the acquired skills once therapy has concluded, and acknowledges the patient’s (often mixed) feelings about termination. Together, the therapist and patient also assess whether referral for additional psychotherapy or other mental health intervention is warranted.

Some characteristics of the target population led us to go beyond IPC and to incorporate additional ideas into what became the IPC-C manual. First, because college students are typically undergoing the developmental stage referred to as emerging adulthood (4), we reasoned that clinical work with them should also draw from interpersonal psychotherapy for depressed adolescents (IPT-A) (31). Relatedly, IPC often addresses the patient’s “sick role,” which helps allay some of the guilt inherent in depression. We found that for this patient population, the IPT-A concept of a “limited sick role” offered a better fit, promoted a sense of agency, and helped take into account broader identity formation processes (36), such as intersectionality (37, 38). Third, depression, both in general (39, 40) and in this target age group (4143), is often comorbid with anxiety disorders; in particular, the social challenges of adolescence and emerging adulthood and the transition from home life to college life often have the most severe impact on socially anxious individuals (44). As such, we applied lessons learned from efforts to address social anxiety with IPT (45). Additionally, because cognitive-behavioral therapy (CBT) is often effective in treating social anxiety (46), we incorporated some optional CBT techniques (47) to be used if clinically indicated. Finally, university life often involves daily stressors, frequent exam periods, academic assignments, and heavy reading loads. Students are expected to possess self-discipline and adequate time management skills while effortlessly and perfectly balancing their schedules to socialize, forge new relationships, and set long-term personal and professional goals. We found it important to provide our student patients with tools that would help them cope with such serious, although common, stressors. For this reason, the adaptations included a self-care checklist to help ensure that students followed healthy routines (i.e., healthy eating, sleeping, and regular exercise) (48) known to affect mood. (For further information about the development of the IPC-C manual or for the manual itself, please contact the authors.)

For this study, three clinicians delivered IPC-C. At one counseling center at a 4-year liberal arts college, IPC-C was delivered by the developer of the intervention. At the other counseling center at a university, IPC-C was delivered by two psychology interns trained in the approach. Prior to implementation of the study, these two clinicians attended a 1-day IPC-C training workshop. Two authors (A.K.R., L.M.), both certified trainers and supervisors in IPT, reviewed all audio-recorded sessions for fidelity to the IPC-C manual. This review served as the basis for weekly supervision conference calls with these two authors and the two additional therapists and were held for the duration of the study. IPC fidelity checklists were completed for the trainee therapists’ audio-recorded sessions. Fidelity ratings averaged 3.39 on a scale of 1 to 4 (3, satisfactory; 4, superior).

Results

Retention and Satisfaction

Nine of the 10 participants (90%) completed the study; we were unable to follow up with one participant who dropped out after two sessions. Despite efforts made by the therapist, there was no response after dropout; therefore, we have no information regarding the student’s reason for leaving therapy. No participants were withdrawn from the study for an elevated PHQ-9 score above 14. Among completers, the mean number of therapy sessions attended was 5.4±0.7 (range 4–6), over an average of 5 weeks (range 2–10). On average, completers found the intervention to be quite satisfactory; all satisfaction scores were above the midpoint of the 0–6 scale (denoting moderate satisfaction). The scores ranged from 3.8 to 6.0, with a high average (mean=5.1±0.7).

Symptoms and Support Measures

Table 1 shows the means, standard deviations, and scores of the participants’ PHQ-9 and CAT scores, pre- and posttreatment. One participant (labeled 4 in Figure 1) dropped out after the second session; therefore, his last scores were carried forward. Paired t tests showed that posttreatment PHQ-9 scores (mean=4.45±2.5) were significantly lower than pretreatment scores (mean=10.2±1.6; t=–7.74, df=9, p<0.001). The estimated effect size of the PHQ-9 from baseline to termination was very large (Cohen’s d=2.45). Of note, 80% (N=8) of the patients demonstrated a reliable change (49) in their depressive symptoms during the treatment (a decline in PHQ-9 score of at least 5 points), and 60% (N=6) of the patients showed depressive symptoms below the clinical threshold (score <5) after the treatment (33, 50). We also performed a multilevel regression analysis, in which patients’ session-level PHQ-9 reports were regressed on session number. In this model, the intercept and slope (i.e., session number) were estimated as both fixed and random effects. The results indicated that the patients showed a significant linear decrease in depressive symptoms over the course of treatment (estimate=–1.25, SE=0.22, p<0.001).

FIGURE 1.

FIGURE 1. Scores on the Patient Health Questionnaire–9 (PHQ-9) and College Adjustment Test (CAT) before and after therapya

aEach number represents one of the 10 participants. PHQ-9 scores range from 0 to 27, with higher scores indicating higher severity of depression. CAT scores range from 19 to 133, with higher scores indicating greater adjustment to college.

TABLE 1 Patients’ (N=10) demographic and clinical characteristicsa

CharacteristicN%
Age (M±SD)20.0±2.0
Pretreatment PHQ-9 (M±SD)10.2±1.6
Posttreatment PHQ-9 (M±SD)4.5±2.5
Pretreatment CAT (M±SD)78.7±18.1
Posttreatment CAT (M±SD)94.3±16.3
Gender
 Female770
 Male330
Race-ethnicityb
 Caucasian220
 African American110
 Hispanic/Latino110
 Asian220
 Multicultural or multiracial220
Year of school
 Freshman550
 Sophomore220
 Junior110
 Senior110
 Graduate110
No medication during the study770
Subthreshold or greater social anxiety220
PHQ-9 pretreatment score
 Minimal (0–4)00
 Mild (5–9)440
 Moderate (10–14)660
PHQ-9 posttreatment score
 Minimal (0–4)660
 Mild (5–9)440
 Moderate (10–14)00

aPossible scores on the Patient Health Questionnaire–9 (PHQ-9) range from 0 to 27, with higher scores indicating higher severity of depression. Possible scores on the College Adjustment Test (CAT) range from 19 to 133, with higher scores indicating greater adjustment to college.

bOne participant declined to answer, and one had missing information.

TABLE 1 Patients’ (N=10) demographic and clinical characteristicsa

Enlarge table

Paired t tests showed that posttreatment CAT scores (mean=94.3±16.25) were marginally higher than pretreatment scores (mean=78.7±18.06; t=2.90, df=9, p=0.017). The effect size of this pre-to-post increase in adjustment was large (Cohen’s d=0.92).

We performed a set of regression analyses to test whether changes in patients’ depressive symptoms and college adjustment were associated with pretreatment depression level (mild versus moderate), number of therapy sessions received, patients’ age, and patients’ years in school. None of these variables were significantly associated with levels of change. Complete results can be obtained from the first author (A.K.R.).

Discussion

The objective of this pilot study was to examine the feasibility, acceptability, and efficacy of IPC-C in the treatment of students with mild to moderate depression receiving psychotherapy in university counseling centers. The feasibility of delivering the treatment was supported by the high completion rate. The acceptability of this brief evidence-based psychotherapy was supported by participants’ reported satisfaction with the therapy; specifically, the participants found the number of sessions involved (within the intended 3–6 session range) to be acceptable. Finally, the efficacy of the approach was supported by the large effect sizes found for reduction in depression and increase in adjustment.

Several limitations of this study should be noted. First, the study was conducted in two university counseling centers on the East Coast of the United States, which may have limited the generalizability of the results for counseling centers in other geographic areas as well as for other student populations. Second, the sample size of this unfunded pilot study was small and thus limited the statistical power. The sample size of this study was determined by the availability of both counselors and participants. As such, it reflected a problem present at both sites, wherein the counselors’ caseloads were often overwhelmed by urgent crisis-focused referrals, delaying treatment for potential participants with mild to moderate depression who may, in some cases, have sought treatment outside the counseling centers. It is precisely this patient group that is currently underserved in college counseling centers (51), and it is with them in mind that we developed this intervention. Our hope is that, through the adoption and implementation of IPC-C or other brief evidence-based approaches, students will be able to receive a timely response to their depression while it is mild or moderate in severity, rather than arriving on the doorstep of a counseling center in crisis. After all, depression often worsens if treatment is delayed. Thus, prompt identification of symptoms and of the problems associated with their onset, coupled with briefer evidence-based psychotherapeutic interventions, may help students mobilize resources and prevent further sequelae of depression.

The limitations in the generalizability and power of these findings call for further testing of the IPC-C approach to replicate these early feasibility, acceptability, and efficacy results. A replication would also remedy another limitation of the present study, which was that the first author (A.K.R.) served as a therapist at one site and as a trainer and supervisor at the other site. In particular, it will be beneficial to conduct strongly powered randomized controlled studies within diverse institutions and student bodies. Such work will help determine whether the current IPC-C manual should be further adapted for specific subpopulations or settings.

Conclusions

College counseling centers are struggling to meet the increased demand of more students with critical, high-risk conditions. Consequently, although depression is highly prevalent among college students, the availability of regular psychotherapy appointments for those experiencing mild to moderate depressive symptoms has decreased to make room for more urgent care appointments and crisis interventions. To help address this gap, we adapted IPC in both content and structure to create the IPC-C manual tested here. We reasoned that the characteristics of IPC-C may offer a good fit for the needs of college students with mild to moderate depression and for the university counseling centers which often struggle to meet these needs. Our results, and particularly the high acceptability and strong efficacy obtained, reflect this reasoning and suggest that further exploration of the IPC-C approach and its implementation is warranted.

With the emergence of the global COVID-19 crisis and its effects on higher education institutions (resource depletion, closures, and a move to distance learning) and on the students themselves (financial, occupational, health concerns, and uncertainty), we believe IPC-C has become even more relevant. Clearly, problem areas troubling these patients (e.g., role transitions, interpersonal disputes and deficits, and perhaps even grief) have been exacerbated by the health concerns, limited social opportunities, communication difficulties (e.g., mask wearing), and loss of loved ones to COVID-19 that are now a global reality. IPC-C provides a brief alternative to more traditional counseling approaches and could be easily adapted to teletherapy.

Department of Psychological Services, Tel Aviv University, Tel Aviv, Israel (Rafaeli); Department of Psychology, Ben-Gurion University, Be'er Sheva, Israel (Bar-Kalifa); Department of Clinical Psychology, Teachers College, Columbia University, New York City (Verdeli); Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore (Miller).
Send correspondence to Dr. Rafaeli ().

This work was presented in part at the 8th Biennial Congress of the International Society of Interpersonal Psychotherapy, November 6–9, 2019, Budapest.

The authors thank Drs. Myrna M. Weissman, John Markowitz, and Eshkol Rafaeli for their suggestions.

The authors report no financial relationships with commercial interests.

References

1 Hunt J, Eisenberg D: Mental health problems and help-seeking behavior among college students. J Adolesc Health 2010; 46:3–10Crossref, MedlineGoogle Scholar

2 The Global Burden of Disease: Generating Evidence, Guiding policy. Seattle, University of Washington, Institute for Health Metrics and Evaluation, 2015. http://www.healthdata.org/sites/default/files/files/policy_report/2013/GBD_GeneratingEvidence/IHME_GBD_GeneratingEvidence_FullReport.pdfGoogle Scholar

3 Kessler RC, Amminger GP, Aguilar-Gaxiola S, et al.: Age of onset of mental disorders: a review of recent literature. Curr Opin Psychiatry 2007; 20:359–364Crossref, MedlineGoogle Scholar

4 Arnett JJ: Emerging adulthood. A theory of development from the late teens through the twenties. Am Psychol 2000; 55:469–480Crossref, MedlineGoogle Scholar

5 Hefner J, Eisenberg D: Social support and mental health among college students. Am J Orthopsychiatry 2009; 79:491–499Crossref, MedlineGoogle Scholar

6 Zarrett N, Eccles J: The passage to adulthood: challenges of late adolescence. New Dir Youth Dev 2006; Fall:13–28CrossrefGoogle Scholar

7 Taylor ZE, Doanne LD, Eisenberg N: Transitioning from high school to college: relations of social support, ego-resiliency, and maladjustment during emerging adulthood. Emerg Adulthood 2014; 2:105–115CrossrefGoogle Scholar

8 Xiao H, Carney DM, Youn SJ, et al.: Are we in crisis? National mental health and treatment trends in college counseling centers. Psychol Serv 2017; 14:407–415Crossref, MedlineGoogle Scholar

9 Lipson SK, Lattie EG, Eisenberg D: Increased rates of mental health service utilization by US college students: 10-year population-level trends (2007–2017). Psychiatr Serv 2019; 70:60–63Crossref, MedlineGoogle Scholar

10 Oswalt SB, Lederer AM, Chestnut-Steich K, et al.: Trends in college students’ mental health diagnoses and utilization of services, 2009–2015. J Am Coll Health 2020; 68:41–51Crossref, MedlineGoogle Scholar

11 Auerbach RP, Mortier P, Bruffaerts R, et al.: WHO World Mental Health Surveys International College Student Project: prevalence and distribution of mental disorders. J Abnorm Psychol 2018; 127:623–638Crossref, MedlineGoogle Scholar

12 Liu CH, Stevens C, Wong SHM, et al.: The prevalence and predictors of mental health diagnoses and suicide among US college students: implications for addressing disparities in service use. Depress Anxiety 2019; 36:8–17Crossref, MedlineGoogle Scholar

13 Prince JP: University student counseling and mental health in the United States: trends and challenges. Ment Health Prev 2015; 3:5–10CrossrefGoogle Scholar

14 Ibrahim AK, Kelly SJ, Adams CE, et al.: A systematic review of studies of depression prevalence in university students. J Psychiatr Res 2013; 47:391–400Crossref, MedlineGoogle Scholar

15 Benton SA, Robertson JM, Tseng W-C, et al.: Changes in counseling center client problems across 13 years. Prof Psychol Res Pr 2003; 34:66–72CrossrefGoogle Scholar

16 Center for Collegiate Mental Health 2016 Annual Report. Pub no STA 17-74. Philadelphia, Center for Collegiate Mental Health, 2017. https://sites.psu.edu/ccmh/files/2017/01/2016-Annual-Report-FINAL_2016_01_09-1gc2hj6.pdfGoogle Scholar

17 Gallagher RP: National Survey of College Counseling Centers. Arlington, VA, International Association of Counseling Services, 2012Google Scholar

18 Ghio L, Gotelli S, Marcenaro M, et al.: Duration of untreated illness and outcomes in unipolar depression: a systematic review and meta-analysis. J Affect Disord 2014; 152–154:45–51Crossref, MedlineGoogle Scholar

19 Weissman M, Verdeli H: Interpersonal psychotherapy: evaluation, support, triage. Clin Psychol Psychother 2012; 19:106–112Crossref, MedlineGoogle Scholar

20 Weissman MM, Hankerson SH, Scorza P, et al.: Interpersonal counseling (IPC) for depression in primary care. Am J Psychother 2014; 68:359–383LinkGoogle Scholar

21 Klerman GL, Weissman MM, Rounsaville B, et al.: Interpersonal Psychotherapy of Depression. New York, Basic Books, 1984Google Scholar

22 Weissman MM: Mastering Depression Through Interpersonal Psychotherapy. New York, Oxford University Press, 2005Google Scholar

23 Weissman MM, Markowitz JC, Klerman GL: The Guide to Interpersonal Psychotherapy. New York, Oxford University Press, 2018Google Scholar

24 Barth J, Munder T, Gerger H, et al.: Comparative efficacy of seven psychotherapeutic interventions for patients with depression: a network meta-analysis. PLoS Med 2013; 10:e1001454Crossref, MedlineGoogle Scholar

25 Klerman GL, Budman S, Berwick D, et al.: Efficacy of a brief psychosocial intervention for symptoms of stress and distress among patients in primary care. Med Care 1987; 25:1078–1088Crossref, MedlineGoogle Scholar

26 Weissman M, Verdeli H: Interpersonal Counseling for Primary Care. 2017. https://www.mhinnovation.net/sites/default/files/downloads/innovation/tools/Interpersonal%20Counseling%20Adapted%20to%20Colombia.pdfGoogle Scholar

27 Yamamoto A, Tsujimoto E, Taketani R, et al.: The effect of interpersonal counseling for subthreshold depression in undergraduates: an exploratory randomized controlled trial. Depress Res Treat 2018:4201897MedlineGoogle Scholar

28 Bruijniks SJE, Lemmens LHJM, Hollon SD, et al.: The effects of once- versus twice-weekly sessions on psychotherapy outcomes in depressed patients. Br J Psychiatry 2020; 216:222–230Crossref, MedlineGoogle Scholar

29 Cuijpers P, Huibers M, Ebert DD, et al.: How much psychotherapy is needed to treat depression? A metaregression analysis. J Affect Disord 2013; 149:1–13Crossref, MedlineGoogle Scholar

30 Tiemens B, Kloos M, Spijker J, et al.: Lower versus higher frequency of sessions in starting outpatient mental health care and the risk of a chronic course; a naturalistic cohort study. BMC Psychiatry 2019; 19:228Crossref, MedlineGoogle Scholar

31 Mufson L, Dorta KP, Moreau D, et al.: Interpersonal Psychotherapy for Depressed Adolescents. New York, Guilford Press, 2004Google Scholar

32 March J, Silva S, Petrycki S, et al.: Fluoxetine, cognitive-behavioral therapy, and their combination for adolescents with depression: Treatment for Adolescents With Depression Study (TADS) randomized controlled trial. JAMA 2004; 292:807–820Crossref, MedlineGoogle Scholar

33 Hlastala SA, Kotler JS, McClellan JM, et al.: Interpersonal and social rhythm therapy for adolescents with bipolar disorder: treatment development and results from an open trial. Depress Anxiety 2010; 27:457–464Crossref, MedlineGoogle Scholar

34 Kroenke K, Spitzer RL, Williams JB: The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med 2001; 16:606–613Crossref, MedlineGoogle Scholar

35 Pennebaker JW, Colder M, Sharp LK: Accelerating the coping process. J Pers Soc Psychol 1990; 58:528–537Crossref, MedlineGoogle Scholar

36 Jensen DH, Jetten J: Exploring interpersonal recognition as a facilitator of students’ academic and professional identity formation in higher education. European Journal of Higher Education. 2018; 8:168–184CrossrefGoogle Scholar

37 Mahoney AD, Cuellar MG, Johnson-Ahorlu RN, et al.: Intersectionality and Higher Education: Identity and Inequality on College Campuses. New Brunswick, NJ, Rutgers University Press, 2019Google Scholar

38 Shin RQ, Welch JC, Kaya AE, et al.: The intersectionality framework and identity intersections in the Journal of Counseling Psychology and The Counseling Psychologist: a content analysis. J Couns Psychol 2017; 64:458–474Crossref, MedlineGoogle Scholar

39 Sartorius N, Ustün TB, Lecrubier Y, et al.: Depression comorbid with anxiety: results from the WHO study on psychological disorders in primary health care. Br J Psychiatry Suppl 1996; 30:38–43Crossref, MedlineGoogle Scholar

40 Zhou Y, Cao Z, Yang M, et al.: Comorbid generalized anxiety disorder and its association with quality of life in patients with major depressive disorder. Sci Rep 2017; 7:40511Crossref, MedlineGoogle Scholar

41 Brady EU, Kendall PC: Comorbidity of anxiety and depression in children and adolescents. Psychol Bull 1992; 111:244–255Crossref, MedlineGoogle Scholar

42 Wolitzky-Taylor K, Dour H, Zinbarg R, et al.: Experiencing core symptoms of anxiety and unipolar mood disorders in late adolescence predicts disorder onset in early adulthood. Depress Anxiety 2014; 31:207–213Crossref, MedlineGoogle Scholar

43 Mobach L, Gould K, Hudson JL: Comorbidity in childhood anxiety disorders; in Pediatric Anxiety Disorders. Edited by Compton SN, Villabø MA, Kristensen H. Cambridge, MA, Academic Press, 2019CrossrefGoogle Scholar

44 Campbell CG, Bierman KL, Molenaar PC: Individual day-to-day process of social anxiety in vulnerable college students. Appl Dev Sci 2016; 20:1–15CrossrefGoogle Scholar

45 Lipsitz JD, Markowitz JC, Cherry S, et al.: Open trial of interpersonal psychotherapy for the treatment of social phobia. Am J Psychiatry 1999; 156:1814–1816Crossref, MedlineGoogle Scholar

46 Heimberg RG: Cognitive-behavioral therapy for social anxiety disorder: current status and future directions. Biol Psychiatry 2002; 51:101–108Crossref, MedlineGoogle Scholar

47 Papa A, Boland M, Sewell MT: Emotion regulation and CBT; in Cognitive Behavior Therapy: Core Principles for Practice. Edited by O’Donohue WT, Fisher JE. New York, Wiley, 2012CrossrefGoogle Scholar

48 Hosker DK, Elkins RM, Potter MP: Promoting mental health and wellness in youth through physical activity, nutrition, and sleep. Child Adolesc Psychiatr Clin N Am 2019; 28:171–193Crossref, MedlineGoogle Scholar

49 Jacobson NS, Truax P: Clinical significance: a statistical approach to defining meaningful change in psychotherapy research. J Consult Clin Psychol 1991; 59:12–19Crossref, MedlineGoogle Scholar

50 Löwe B, Unützer J, Callahan CM, et al.: Monitoring depression treatment outcomes with the Patient Health !uestionnaire-9. Med Care 2004; 42:1194–1201Crossref, MedlineGoogle Scholar

51 2018 Annual Report. Pub no. STA 19-180. Philadelphia, Center for Collegiate Mental Health, 2018. https://ccmh.psu.edu/assets/docs/2018-Annual-Report-9.27.19-FINAL.pdfGoogle Scholar