NCT06419868

Brief Summary

Mental health in the university population has become a common and serious problem within university institutions worldwide in recent years. Various meta-analyses and systematic reviews have shown worrying figures in the last five years. In the USA, it has been described in medical students that between 6.0% and 66.5% have depression, between 7.7% and 65.5% anxiety disorders, and between 12.2% and 96.7% present stress. In China, on the other hand, a study reported in 2016 that the prevalence of depression was 23.8%. In Latin America, a Brazilian article conducted on medical students shows a prevalence of depression at 30.6%, anxiety disorders at 32.9%, and stress at 49.9%. In Chile, there are very few studies that address the prevalence of mental health disorders and associated risk factors in the university population. The article published in 2014 by Baader et al. is one of the first records was carried out on a population of 800 students in 2008 at the Austral University of Chile, reporting a prevalence of 27% of depression and 5.3% of students who present a moderate to severe risk of suicide. During April and May 2019, the results of the "First National University Mental Health Survey" project were presented, a project led by the Catholic University of Temuco and sponsored by the National Research and Development Agency (ANID), carried out to 600 students from the Catholic University of Temuco, the University of Concepción and the University of Tarapacá. This project showed that 46% of the students presented depressive symptoms, 46% anxiety symptoms, and 53.5% stress symptoms. Furthermore, 29.7% presented the three symptoms simultaneously, and 5.1% of the students had suicidal thoughts at the time of the study. In a review of published studies on mental health in higher education students in Chile, a wide variability in the prevalence of psychological symptoms among students was identified. The findings showed a range of prevalence of psychological distress between 22.9% and 40.7%, of depressive symptoms between 16.5% and 38.8%, of anxious symptoms between 16.5% and 23.7%, of cannabis consumption in the last 12 months between 19.7% and 29.7%, and alcohol consumption in the previous year between 84.0% and 92.6%. The data obtained from the Mental Health Surveys of the University of the Andes, applied in the years 2020 and 2022 to undergraduate students, indicate variations in the prevalence of different symptoms and psychological risks. Specifically, the prevalence of depressive symptoms decreased from 37.1% to 27.84%, and that of anxious symptoms decreased slightly from 37.9% to 36.13%. A notable decrease was observed in stress, going from 54.6% to 12.9%. On the other hand, the prevalence of suicide risk experienced a less pronounced decrease, from 20% to 18.4%, remaining at a considerably high rate. Taking into account the above, mental health problems in the university population continue to be a public health problem that must be addressed preventively through the implementation of evidence-based programs. Objective: This study aims to determine the acceptability and feasibility of an online universal mental health prevention program for university students. It is also expected to reduce depressive and anxious symptoms and improve quality of life. Outcomes: Primary response measures: Acceptability Assessment, Feasibility Assessment. Secondary response measures are depression, anxiety, and quality of life. The Outcomes section provides more details on anxiety and qu. Expected results: The data collected will allow us to determine the acceptability and satisfaction of the participants with the intervention using a quantitative measure of its credibility and to explore its effects on the participants, considering the change in depressive and anxiety symptoms and quality of life before and after the intervention.

Trial Health

35
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
272

participants targeted

Target at P75+ for not_applicable

Timeline
Completed

Started Jul 2024

Shorter than P25 for not_applicable

Status
not yet recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

First Submitted

Initial submission to the registry

April 30, 2024

Completed
17 days until next milestone

First Posted

Study publicly available on registry

May 17, 2024

Completed
2 months until next milestone

Study Start

First participant enrolled

July 1, 2024

Completed
10 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

April 30, 2025

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

April 30, 2025

Completed
Last Updated

May 17, 2024

Status Verified

May 1, 2024

Enrollment Period

10 months

First QC Date

April 30, 2024

Last Update Submit

May 14, 2024

Conditions

Keywords

DepressionAnxietyUndergraduatesUniversal prevention

Outcome Measures

Primary Outcomes (7)

  • Acceptability Assessment

    Acceptability will be evaluated by determining how this intervention program is received by students and the extent to which this intervention relates to the needs of this target population. The research team will develop an acceptability and satisfaction questionnaire and apply it to the intervention students.

    through study completion, an average of 1 year

  • Feasibility Assessment: Number of participants recruited

    Initially, inclusion and exclusion criteria will be defined to ensure that participants are representatives of the target group. A tracking system will be implemented to monitor the number of people recruited.

    through study completion, an average of 1 year

  • Feasibility Assessment: Recruitment time for completion

    A tracking system will be implemented to monitor the time needed to complete the recruitment process.

    through study completion, an average of 1 year

  • Feasibility Assessment: Evaluation of data collection and results.

    Clear protocols will be established for data collection and analysis, ensuring accuracy and consistency. Statistical analyzes will be used to check the validity and reliability of the results.

    through study completion, an average of 1 year

  • Feasibility Assessment: Evaluation of the acceptability of the intervention

    Surveys will be used to collect opinions and perceptions of participants about the intervention and the methods used.

    through study completion, an average of 1 year

  • Feasibility Assessment: Level of progress of the participants in the sessions.

    The completion and the time needed for completion of each module of the intervention will be registered.

    through study completion, an average of 1 year

  • Client Satisfaction Questionnaire (CSQ-8)

    It is an 8-item instrument validated in English and translated and validated into Spanish that measures general satisfaction with health services received in various populations. The answers are Likert-type with four options each. In addition, there is space to write down comments and suggestions. This instrument will be slightly adapted to questions oriented to the study context. The Customer Satisfaction Questionnaire has an internal consistency ranging between α=0.83 and α=0.93. Each item on the CSQ-8 is rated on a 4-point scale, generally ranging from 1 (low satisfaction) to 4 (high satisfaction). Therefore, the minimum possible score on the CSQ-8 is 8 (1 point on each of the 8 items), and the maximum score is 32 (4 points on each item). A higher score on the CSQ-8 indicates greater client satisfaction with the services received, which is considered a better outcome. In this context, a higher score is better, as it reflects a better customer perception of the service.

    through study completion, an average of 1 year

Secondary Outcomes (11)

  • Patient Health Questionnaire-9 (PHQ-9)

    through study completion, an average of 1 year

  • Generalized Anxiety Disorder (GAD-7)

    through study completion, an average of 1 year

  • PROMIS Global Health v1.2.: Patient-Reported Outcomes Measurement Information System (PROMIS)

    through study completion, an average of 1 year

  • Distress Tolerance Scale (DTS)

    through study completion, an average of 1 year

  • Insomnia Severity Index (ISI)

    through study completion, an average of 1 year

  • +6 more secondary outcomes

Study Arms (2)

Intervention group

EXPERIMENTAL

This is a self-applied online intervention with six modules. It should be implemented over a period of 4 to 8 weeks. Participants will be guided through the program in a structured manner. They will start by accessing the CANVAS online platform, where they will find the content of the sessions in video, audio, and text formats. They will then be directed to practice exercises at home, with audiovisual material to guide them. It's crucial that participants complete the six sessions sequentially, as each session is designed to build upon the previous one, ensuring a comprehensive learning experience and effective learning.

Behavioral: "Universal preventive intervention for depression and anxiety for university students"

Control group

NO INTERVENTION

Control group participants will be asked to respond to the baseline, after intervention, and four months after intervention. Once the study period is completed, and if the results show positive changes in the intervention group, they will be offered and asked to access the intervention.

Interventions

This is a self-applied online intervention with six modules. It should be implemented over a period of 4 to 8 weeks. It includes emotion regulation, mindfulness exercises, coping strategies, problem-solving strategies, psychoeducation of anxiety and depression, and the development of healthy behaviors, explained through the following theoretical components: mindfulness and cognitive behavioral therapy. Participants will be guided through the program in a structured manner. They will start by accessing the CANVAS online platform, where they will find the content of the sessions in video, audio, and text formats. They will then be directed to practice exercises at home, with audiovisual material to guide them. It's crucial that participants complete the six sessions sequentially, as each session is designed to build upon the previous one, ensuring a comprehensive learning experience and effective learning.

Also known as: Cuidate
Intervention group

Eligibility Criteria

Age18 Years+
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)

You may qualify if:

  • Undergraduate students from the Universidad de los Andes, from different majors.
  • Over 18 years.
  • Able to read and speak Spanish.
  • Availability of time to participate.

You may not qualify if:

  • PHQ-9 score ≥ 15
  • Active suicidality, defined as suicidal ideation, planning or attempts, or self-harming behavior in the last 12 months. The Columbia Suicidality Scale will be used to exclude students with a score ≥ 3.
  • Who is undergoing psychiatric treatment for a serious condition, understood as psychotic pathology and/or substance abuse.
  • History of hospital admission for psychiatric pathology in the last two years.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Related Publications (35)

  • Hope V, Henderson M. Medical student depression, anxiety and distress outside North America: a systematic review. Med Educ. 2014 Oct;48(10):963-79. doi: 10.1111/medu.12512.

    PMID: 25200017BACKGROUND
  • Valdes JM, Diaz FJ, Christiansen PM, Lorca GA, Solorza FJ, Alvear M, Ramirez S, Nunez D, Araya R, Gaete J. Mental Health and Related Factors Among Undergraduate Students During SARS-CoV-2 Pandemic: A Cross-Sectional Study. Front Psychiatry. 2022 May 31;13:833263. doi: 10.3389/fpsyt.2022.833263. eCollection 2022.

    PMID: 35711588BACKGROUND
  • Jacob KL, Christopher MS, Neuhaus EC. Development and validation of the cognitive-behavioral therapy skills questionnaire. Behav Modif. 2011 Nov;35(6):595-618. doi: 10.1177/0145445511419254. Epub 2011 Sep 5.

    PMID: 21893554BACKGROUND
  • Preece DA, Petrova K, Mehta A, Gross JJ. The Emotion Regulation Questionnaire-Short Form (ERQ-S): A 6-item measure of cognitive reappraisal and expressive suppression. J Affect Disord. 2023 Nov 1;340:855-861. doi: 10.1016/j.jad.2023.08.076. Epub 2023 Aug 18.

    PMID: 37597776BACKGROUND
  • Fernandez-Mendoza J, Rodriguez-Munoz A, Vela-Bueno A, Olavarrieta-Bernardino S, Calhoun SL, Bixler EO, Vgontzas AN. The Spanish version of the Insomnia Severity Index: a confirmatory factor analysis. Sleep Med. 2012 Feb;13(2):207-10. doi: 10.1016/j.sleep.2011.06.019. Epub 2011 Dec 14.

    PMID: 22172961BACKGROUND
  • Morin CM, Belleville G, Belanger L, Ivers H. The Insomnia Severity Index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. 2011 May 1;34(5):601-8. doi: 10.1093/sleep/34.5.601.

    PMID: 21532953BACKGROUND
  • Bastien CH, Vallieres A, Morin CM. Validation of the Insomnia Severity Index as an outcome measure for insomnia research. Sleep Med. 2001 Jul;2(4):297-307. doi: 10.1016/s1389-9457(00)00065-4.

    PMID: 11438246BACKGROUND
  • Hays RD, Schalet BD, Spritzer KL, Cella D. Two-item PROMIS(R) global physical and mental health scales. J Patient Rep Outcomes. 2017;1(1):2. doi: 10.1186/s41687-017-0003-8. Epub 2017 Sep 12.

    PMID: 29757325BACKGROUND
  • Garcia-Campayo J, Zamorano E, Ruiz MA, Pardo A, Perez-Paramo M, Lopez-Gomez V, Freire O, Rejas J. Cultural adaptation into Spanish of the generalized anxiety disorder-7 (GAD-7) scale as a screening tool. Health Qual Life Outcomes. 2010 Jan 20;8:8. doi: 10.1186/1477-7525-8-8.

    PMID: 20089179BACKGROUND
  • Blatch-Jones AJ, Pek W, Kirkpatrick E, Ashton-Key M. Role of feasibility and pilot studies in randomised controlled trials: a cross-sectional study. BMJ Open. 2018 Sep 25;8(9):e022233. doi: 10.1136/bmjopen-2018-022233.

    PMID: 30257847BACKGROUND
  • Orsmond GI, Cohn ES. The Distinctive Features of a Feasibility Study: Objectives and Guiding Questions. OTJR (Thorofare N J). 2015 Jul;35(3):169-77. doi: 10.1177/1539449215578649.

    PMID: 26594739BACKGROUND
  • Segal ZV, Dimidjian S, Beck A, Boggs JM, Vanderkruik R, Metcalf CA, Gallop R, Felder JN, Levy J. Outcomes of Online Mindfulness-Based Cognitive Therapy for Patients With Residual Depressive Symptoms: A Randomized Clinical Trial. JAMA Psychiatry. 2020 Jun 1;77(6):563-573. doi: 10.1001/jamapsychiatry.2019.4693.

    PMID: 31995132BACKGROUND
  • Garland A, Weinfurt K, Sugarman J. Incentives and payments in pragmatic clinical trials: Scientific, ethical, and policy considerations. Clin Trials. 2021 Dec;18(6):699-705. doi: 10.1177/17407745211048178.

    PMID: 34766524BACKGROUND
  • Murphy MJ, Newby JM, Butow P, Loughnan SA, Joubert AE, Kirsten L, Allison K, Shaw J, Shepherd HL, Smith J, Andrews G. Randomised controlled trial of internet-delivered cognitive behaviour therapy for clinical depression and/or anxiety in cancer survivors (iCanADAPT Early). Psychooncology. 2020 Jan;29(1):76-85. doi: 10.1002/pon.5267. Epub 2019 Nov 12.

    PMID: 31659822BACKGROUND
  • Gross JJ, John OP. Individual differences in two emotion regulation processes: implications for affect, relationships, and well-being. J Pers Soc Psychol. 2003 Aug;85(2):348-62. doi: 10.1037/0022-3514.85.2.348.

    PMID: 12916575BACKGROUND
  • Harrer M, Adam SH, Baumeister H, Cuijpers P, Karyotaki E, Auerbach RP, Kessler RC, Bruffaerts R, Berking M, Ebert DD. Internet interventions for mental health in university students: A systematic review and meta-analysis. Int J Methods Psychiatr Res. 2019 Jun;28(2):e1759. doi: 10.1002/mpr.1759. Epub 2018 Dec 26.

    PMID: 30585363BACKGROUND
  • Harrer M, Adam SH, Fleischmann RJ, Baumeister H, Auerbach R, Bruffaerts R, Cuijpers P, Kessler RC, Berking M, Lehr D, Ebert DD. Effectiveness of an Internet- and App-Based Intervention for College Students With Elevated Stress: Randomized Controlled Trial. J Med Internet Res. 2018 Apr 23;20(4):e136. doi: 10.2196/jmir.9293.

    PMID: 29685870BACKGROUND
  • Galante J, Dufour G, Vainre M, Wagner AP, Stochl J, Benton A, Lathia N, Howarth E, Jones PB. A mindfulness-based intervention to increase resilience to stress in university students (the Mindful Student Study): a pragmatic randomised controlled trial. Lancet Public Health. 2018 Feb;3(2):e72-e81. doi: 10.1016/S2468-2667(17)30231-1. Epub 2017 Dec 19.

    PMID: 29422189BACKGROUND
  • Bullis JR, Boe HJ, Asnaani A, Hofmann SG. The benefits of being mindful: trait mindfulness predicts less stress reactivity to suppression. J Behav Ther Exp Psychiatry. 2014 Mar;45(1):57-66. doi: 10.1016/j.jbtep.2013.07.006. Epub 2013 Jul 25.

    PMID: 23994223BACKGROUND
  • Pacheco JP, Giacomin HT, Tam WW, Ribeiro TB, Arab C, Bezerra IM, Pinasco GC. Mental health problems among medical students in Brazil: a systematic review and meta-analysis. Braz J Psychiatry. 2017 Oct-Dec;39(4):369-378. doi: 10.1590/1516-4446-2017-2223. Epub 2017 Aug 31.

    PMID: 28876408BACKGROUND
  • Lei XY, Xiao LM, Liu YN, Li YM. Prevalence of Depression among Chinese University Students: A Meta-Analysis. PLoS One. 2016 Apr 12;11(4):e0153454. doi: 10.1371/journal.pone.0153454. eCollection 2016.

    PMID: 27070790BACKGROUND
  • Baader TM, Rojas CC, Molina JLF, Gotelli M V., Alamo CP, Fierro CF, et al. Diagnóstico de la prevalencia de trastornos de la salud mental en estudiantes universitarios y los factores de riesgo emocionales asociados. Rev Chil Neuropsiquiatr. 2014 Sep 1;52(3):167-76.

    BACKGROUND
  • Barrera-Herrera, A., & San Martín, Y. (2021). Prevalencia de Sintomatología de Salud Mental y Hábitos de Salud en una Muestra de Universitarios Chilenos. Psykhe, 30(1). https://doi.org/10.7764/psykhe.2019.21813

    BACKGROUND
  • Martínez, P., Jiménez-Molina, Á., Mac-Ginty, S., Martínez, V., & Rojas, G. (2021). Salud mental en estudiantes de educación superior en Chile: una revisión de alcance con meta-análisis. Terapia PsicolóGica (Impresa), 39(3), 405-426. https://doi.org/10.4067/s0718-48082021000300405).

    BACKGROUND
  • MacDonald HZ, Baxter EE. Mediators of the relationship between dispositional mindfulness and psychological well-being in female college students. Mindfulness. 2017;8:398-407.

    BACKGROUND
  • Mandal SP, Arya YK, Pandey R. Mindfulness, Emotion Regulation, and Subjective Well-Being: Exploring the Link. SIS Journal of Projective Psychology & Mental Health. 2017;24(1).

    BACKGROUND
  • Roemer L, Williston SK, Rollins LG. Mindfulness and emotion regulation. Current Opinion in Psychology. 2015;3:52-7.

    BACKGROUND
  • McDermott, R., & Dozois, D. J. A. (2019). A randomized controlled trial of Internet-delivered CBT and attention bias modification for early intervention of depression. Journal of Experimental Psychopathology, 10(2), 204380871984250. https://doi.org/10.1177/2043808719842502

    BACKGROUND
  • Santana VS, Gondim SMG. Regulação emocional, bem-estar psicológico e bem-estar subjetivo. Estudos de Psicologia (Natal). 2016;21:58-68.

    BACKGROUND
  • Giuliani NR, Berkman ET. Craving is an Affective State and Its Regulation Can Be Understood in Terms of the Extended Process Model of Emotion Regulation. Psychol Inq. 2015;26(1):48-53. doi: 10.1080/1047840X.2015.955072. No abstract available.

    PMID: 25780321BACKGROUND
  • Küchler, A., Kählke, F., Vollbrecht, D., Peip, K., Ebert, D. D., & Baumeister, H. (2022). Effectiveness, Acceptability, and Mechanisms of Change of the Internet-Based Intervention StudiCare Mindfulness for College Students: a Randomized Controlled Trial. Mindfulness (New York. Print), 13(9), 2140-2154. https://doi.org/10.1007/s12671-022-01949-w

    BACKGROUND
  • Baader T, Molina JL, Venezian S, Rojas C, Farías R, Fierro-Freixenet C, et al. Validación y utilidad de la encuesta PHQ-9 (Patient Health Questionnaire) en el diagnóstico de depresión en pacientes usuarios de atención primaria en Chile. Revista chilena de neuro-psiquiatría. 2012;50(1):10-22.

    BACKGROUND
  • Simons JS, Gaher RM. The Distress Tolerance Scale: Development and Validation of a Self-Report Measure. Motivation and Emotion. 2005;29(2):83-102.

    BACKGROUND
  • Cardoso Ribeiro C, Gómez-Conesa A, Hidalgo Montesinos MD. Metodología para la adaptación de instrumentos de evaluación. Fisioterapia. 2010;32(6):264/70.

    BACKGROUND
  • Vázquez, F., Otero, P., López, L., Blanco, V., Torres, Á., & Dı́Az, O. (2018). La Prevención de la Depresión en Cuidadores a través de Multiconferencia Telefónica. Clínica Y Salud, 29(1), 14-20. https://doi.org/10.5093/clysa2018a2

    BACKGROUND

MeSH Terms

Conditions

DepressionAnxiety Disorders

Condition Hierarchy (Ancestors)

Behavioral SymptomsBehaviorMental Disorders

Central Study Contacts

Jorge E Gaete, MD, PhD

CONTACT

Valentina Romo

CONTACT

Study Design

Study Type
interventional
Phase
not applicable
Allocation
RANDOMIZED
Masking
DOUBLE
Who Masked
INVESTIGATOR, OUTCOMES ASSESSOR
Purpose
PREVENTION
Intervention Model
PARALLEL
Model Details: This is an experimental study, with a randomized controlled trial design, with a control group.
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Tenured Professor

Study Record Dates

First Submitted

April 30, 2024

First Posted

May 17, 2024

Study Start

July 1, 2024

Primary Completion

April 30, 2025

Study Completion

April 30, 2025

Last Updated

May 17, 2024

Record last verified: 2024-05

Data Sharing

IPD Sharing
Will share

Data about primary and secondary outcomes without identifiable variables such as name, date of birth, or others.

Shared Documents
STUDY PROTOCOL, SAP, CSR
Time Frame
At the end of the study and until five years after the end of the study.
Access Criteria
Any researchers who ask the principal investigator fot secondary analysis, data anonymized.
More information