Acceptability and feasibility of a universal online preventive intervention for depression and anxiety among university students: protocol of a pilot randomized controlled trial.

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Jorge Gaete, Daniel Nuñez, Valentina Romo, Saray Ramirez, Fabian Barrera, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5837565/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 3 You are reading this latest preprint version Abstract Background . The mental health of university students is a global concern, with high rates of depression, anxiety, and stress significantly impacting their well-being and academic performance. Several studies reveal high prevalence rates, highlighting the need for effective prevention strategies. Evidence shows that digital interventions incorporating mindfulness, emotional regulation, and cognitive-behavioral techniques can reduce symptoms of mental illness. However, such programs are scarce in Latin America. This study proposes developing and evaluating "CUIDATE," a brief online universal preventive intervention targeting depression and anxiety among university students, focusing on acceptability, feasibility, and potential improvements in mental health and quality of life. Methods: This is a pilot randomized controlled trial, parallel-group type, where students using CUIDATE, a 6-session online self-guided universal preventive intervention, are compared to students doing regular academic work. 50 students in a private university in Santiago, Chile, are expected to be recruited and randomized with 1:1 allocation. Assessments of acceptability and feasibility during the whole project will be collected at the end of the intervention. Measurements of depression and anxiety symptoms, quality of life, and several mindfulness, emotional regulation, and cognitive-behavioral skills will be conducted among students of both groups at baseline, post-intervention and 12-week follow-up. Discussion. This pilot Randomized Controlled Trial aims to evaluate the acceptability and feasibility of "CUIDATE," a self-guided online intervention promoting cognitive-behavioral therapy skills, emotion regulation, and a healthy lifestyle to prevent depression and anxiety. Unlike existing programs, often limited to developed countries, CUIDATE is designed for accessibility and cost-effectiveness, using the widely adopted Canvas platform to engage university students. While challenges like recruitment and task adherence are anticipated, proactive measures, including student leaders’ network support, will mitigate these risks. The study's findings will produce relevant information about these novel designs and may help guide future studies, such as a randomized controlled trial on a large scale. Trial registration: Clinical Trials NCT06419868, May 14. 2024 [https://www.clinicaltrials.gov/study/NCT06419868] Acceptability Feasibility Depression Anxiety University students Universal prevention BACKGROUND The mental health of college students is a growing concern globally, given its significant impact on their well-being, performance, and development. Neuropsychiatric disorders are one of the main causes of lost years of healthy life, especially among young people aged 15 to 24, in both developed and developing countries ( 1 ). In this context, undergraduate students are at high risk of facing mental health problems. In the US, a high prevalence of depression (36%) and anxiety (31%) is reported among college students ( 2 ), which contributes to the increased risk of suicide, one of the main causes of death in the 15 to 29 age group ( 3 ). During the 2020–2021 academic year, more than 60% of college students had at least one mental health problem, according to the Healthy Minds Study, which collects data from 373 campuses across the United States ( 4 ). In Chile, studies indicate a significant prevalence of similar problems, with recent reports of depressive symptoms (46%), anxiety (46%), and stress (53.5%) among university students ( 5 ). At the Universidad de los Andes, a survey of 5,037 students in 2020 revealed that 37.1% of their students suffered from depression, 37.9% from anxiety, and 54.6% from stress ( 6 ). In addition, 32.5% experienced insomnia and 20.4% were at some risk of suicide, ranging from mild to severe. High consumption of alcohol and other substances was also observed. In 2022, a new study at the same university, involving 1,682 students, showed a prevalence of depression of 27.8%, anxiety of 36.1%, and stress of 12.9%. In addition, insomnia was identified in 38.4% and suicide risk in 18.7% of students ( 7 ). Harmful alcohol use remained high, reaching 52.7%. Although the positive changes presented between 2020 and 2022, mental health issues in the university population continue to be a public health problem that must be addressed preventively through the implementation of evidence-based programs. A review of studies published on mental health in higher education students in Chile identified a wide variability in the prevalence of psychological symptoms among students. Findings showed a prevalence range of psychological distress between 22.9% and 40.7%, depressive symptoms between 16.5% and 38.8%, anxiety symptoms between 16.5% and 23.7%, cannabis use in the past 12 months between 19.7% and 29.7%, and alcohol use in the past year between 84.0% and 92.6% ( 8 ). Recent research highlights the effectiveness of preventive interventions in the mental health of university students, whether through digital means, face-to-face actions, or a combination of both. The content of these interventions has allowed us to establish the mechanisms and main mediators that might explain the efficacy of these interventions. For example, recent studies have shown the positive effects of mindfulness on individual health, reducing distress intensity, accelerating emotional recovery, and increasing the ability to engage in goal-oriented behavior ( 9 – 12 ). In mindfulness training, individuals learn to self-regulate their attention (maintain or shift focus when necessary). For example, a mindfulness-based cognitive therapy intervention developed by Dr. Elizabeth English and evaluated by Dr. Julieta Galante at the University of Cambridge was implemented via Zoom throughout 8 90-minute sessions, with positive results. The Mindfulness Skills for Students program (MSS) reduced distress levels during the examination period compared to usual support. Using the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE–OM) as a measure for distress, the participants in the MSS group had a mean CORE-OM score of 0.87 (SD 0.50) compared to 1.11 (0.57) in the usual support group, with an adjusted mean difference of -0.14 (95% CI: -0.22 to -0.06; p = 0.001), indicating a moderate effect size (β -0.44, 95% CI: -0.60 to -0.29; p < 0.0001) ( 13 ). Another study in England evaluated an online mindfulness intervention with four sessions that achieved notable reductions in perceived stress (d = − 1.25), anxiety (d = − 1.09), and depression (d = − 1.06) compared to a control group, with benefits sustained during follow-ups at 3 and 6 months ( 14 ). Other studies have explored the effect of digital interventions using different mechanisms. For instance, in Germany, an Internet-based intervention with mobile app support called "StudiCareStress" was evaluated. This intervention is based on cognitive-behavioral and third-wave techniques and aligns with Lazarus' transactional stress model ( 15 ) by distinguishing between problem-focused coping and emotion regulation. For problem-focused coping, cognitive-behavioral problem-solving strategies are applied to reduce and eliminate modifiable stressors. Emotion regulation refers to how individuals monitor, evaluate, modify, and thus control emotions to meet relevant needs or goals. It has been shown to influence the reduction of various symptoms of mental illness. The intervention comprised eight main modules, each taking 30 to 90 minutes to complete. Participants were recommended to complete at least one and at most two modules per week, aiming to complete the intervention in approximately 5 to 7 weeks. This study revealed significant effects in relieving stress (d = 0.69), anxiety (d = 0.76), and depression (d = 0.63), as well as improvements in academic productivity (d = 0.33) and academic performance (d = 0.34) after 7 weeks ( 15 ). In Australia, a study evaluated the "MoodGYM" program, which is delivered online and is entirely self-administered. This program incorporates cognitive-behavioral strategies such as "attention bias modification" and "information processing." Attention bias modification strategies reduce the tendency of individuals with emotional disorders to pay excessive attention to negative information. These strategies enable individuals to reduce attention to negative information while actively using positive or neutral information. On the other hand, information processing strategies aim to reduce biases present in individuals with emotional disorders, such as depression, by disconnecting from negative content, improving information interpretation processes, and reducing memory biases. In the study evaluating this program ( 16 ), participants completed the intervention over six weeks. Participants were asked to spend 40 minutes weekly on MoodGYM, complete the sessions in one go, and only log in to MoodGYM when prompted. Participants who completed the intervention (77,2%) showed a continuous improvement in depressive symptoms. Additionally, significantly fewer individuals in the intervention group met major depression diagnostic criteria at follow-up than in the control group ( 16 ). A recent review concluded that Internet-based interventions for the mental health of university students can have significant effects on depression, anxiety, and other mental health issues ( 17 ). Reviewing the components of the programs included in this review, it was concluded that most interventions incorporate training in skills from cognitive-behavioral theory and various aspects of emotional regulation, in addition to psychoeducational components and elements related to developing healthy behaviors, such as physical exercise and sleep hygiene. Unfortunately, there are no studies in Chile or Latin America evaluating preventive interventions using technology-based programs in the university population. All results presented above come from developed countries. When designing a new intervention, it is important to incorporate lessons learned from previous experiences. For instance, a successful universal mental health prevention program for university students should incorporate strategies that promote emotion regulation ( 18 ), a crucial component for well-being and social adaptation ( 19 ). The integration of mindfulness techniques and cognitive-behavioral therapy would facilitate individuals' recognition and appropriate management of their emotions ( 20 ). Additionally, the literature suggests the importance of developing skills for coping with academic stress through effective evaluation of stressful situations and the implementation of strategies focused on both problem-solving and emotional regulation ( 16 ). Furthermore, according to the evidence, aspects of psychoeducation on stress, anxiety, and depression, problem-solving, and the development of healthy behaviors, such as physical activity and sleep care, should also be incorporated ( 17 ). On the other hand, this new intervention must incorporate easy-to-use and culturally relevant content to promote engagement and adherence in university students. In this sense, technology-based interventions, whether through an internet platform or mobile applications, seem very promising for facilitating access to this content for students. Technology allows for the approach of the common language in which university students are immersed. Specifically, Universidad de los Andes has Canvas platform ( 21 ) that supports students in their regular academic activities. Based on experiences from other interventions, such as the "MoodGYM", it can be expected that using Canvas can promote adherence ( 22 ) and be effective as it has been shown for learning experiences ( 23 ). Finally, if these interventions prove effective, they have a high potential for widespread use to promote better well-being in Latin American countries. In this study we will develop a brief online intervention called CUIDATE, incorporating the demonstrated effectiveness mediators in other interventions, such as training in mindfulness skills, emotional regulation, academic stress coping, problem-solving, and interpersonal effectiveness, to prevent depression and anxiety symptoms. General objective The general objective of this study is to determine the acceptability and feasibility of a universal online mental health prevention program for university students. Secondarily, it aims to reduce depressive and anxious symptoms and improve quality of life. Specifics Objectives Primary Objectives To determine the general acceptability using a questionnaire developed by the research team and to determine satisfaction acceptability using the CSQ-8 questionnaire. To determine the feasibility of recruiting study subjects, retaining participants, and attending and completing sessions. Secondary Objectives To explore the effects of the intervention on participants' depressive and anxious symptoms and quality of life. METHODS Study design, setting and participants This is a pilot randomized controlled trial, parallel-group type, in which “CUIDATE”, a universal online self-guided intervention, will be compared to a control group that will not receive the intervention. The setting will be one private university located in Santiago, Chile. undergraduate students are expected to be recruited and allocated 1:1. We will evaluate the acceptability and feasibility of this intervention. We will also explore the changes in depressive and anxiety symptoms post-intervention and 12-week follow-up. Inclusion criteria for participants (1) Undergraduate students at a private university from various degree programs. (2) 18 + years old. (3) Able to read and speak Spanish. (4) Availability of time to participate. Exclusion criteria for participants (1) Patient Health Questionnaire-9 (PHQ-9) score ≥ 15 ( 24 ). This cutoff score is used to exclude students with moderately severe or severe depressive symptoms who may have not benefit of participating in this intervention. These students will be referred to the Well-Being Center of the university for further assessment. (2) Active suicidality, measured by the Columbia Suicide Severity Rating Scale with a score ≥ 3. This instrument measures suicidal ideation, intention, and planning in the last month or attempt in the last 3 months. These students will be referred to the Well-Being Center of the university for further assessment. (3) Currently undergoing psychiatric treatment for a severe condition, such as psychotic pathology and/or substance abuse. (4) History of psychiatric hospitalization in the last two years. Sample size Since this is a pilot study, it is not necessary to calculate a sample size ( 25 ); the pilot study will be the basis for performing a sample size calculation for a larger trial ( 26 ). A pilot study, such as the one presented in this proposal, aims to assess the acceptability and feasibility of implementing such an intervention in a higher education institution. Specifically, the information obtained to determine feasibility is crucial if one later intends to conduct a larger randomized controlled trial aimed at evaluating the efficacy or effectiveness of the intervention. It has been suggested that n = 30 is an acceptable size for a pilot study ( 27 ). Others have indicated at least n = 12 per group, equivalent to n = 24 for a traditional two-group study ( 28 ) or other estimates ( 29 ). However, if we want to estimate the main study´s standard deviation and effect sizes between 0.4 and 0.6, we should probably seek a sample size of at least 50 (for 95% confidence) ( 30 ). With information related to the flow of student participants regarding those invited to complete the questionnaire, those who complete the questionnaire, those who are eligible to participate according to the inclusion and exclusion criteria, and those who participate in the intervention and complete the post-intervention evaluation it will be possible to estimate the statistical power obtained in this study. Additionally, this information will be useful for calculating the sample size for a future randomized controlled trial aimed at evaluating the efficacy or effectiveness of the intervention ( 26 ). Ethical considerations All evaluation data will be collected following the Declaration of Helsinki with the approval of the ethics committee of the Universidad de los Andes (CEC 2024075, September 10th, 2024). Informed and written consent will be obtained from all participants. Confidentiality and the freedom to withdraw from it at any time will be assured throughout the study. Recruitment For this study, we have obtained authorization from the Rector’s Office and all academic units of the University before inviting students. We have developed a close relationship with the Well-Being Center of the university to support students in need. Furthermore, we have built a close alliance with student centers to reach out to students using social media platforms. Each academic unit will send information about the study, aims, and methodology (e.g., randomization process, duration, requirements) as well as benefits and risks of participation to the students' institutional emails. Additionally, research assistants will visit all courses to extend the invitation to participate in the study. This invitation will include access to the consent and the baseline assessment using the platform Qualtrics (a platform that allows the collection of information online, with high-security standards and that also can facilitate digital signature through a cell phone, tablet or computer). These initial assessment instruments will help identify students who meet the inclusion and exclusion criteria. Students who meet the inclusion criteria will be contacted and assigned to a group according to the randomization procedure. Randomization and allocation All participants who meet the inclusion and exclusion criteria will be randomized into two groups, either the intervention group or the control group, in a ratio of 1:1. Randomization will be carried out using the "random" formula in an Excel spreadsheet, which allows for random distribution. Blinding Due to the nature of the intervention, participants are not blinded to their group assignment. Assessments will be conducted through self-report questionnaires sent electronically, and their evaluation will be done automatically, without human intervention. In the data analysis, the statistician will be blinded to the participants' intervention group in the data analysis. Participant timeline Table 1. Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) diagram. Intervention and control groups CUIDATE The research team developed a universal mental health prevention intervention called CUIDATE, which consists of six weekly sessions organized in sequential skill training. The first two sessions (1. Relationship between Thoughts, Emotions, and Behavior; and 2. How to Deal with Procrastination) include cognitive-behavioral techniques, such as psychoeducation about the relationship between thoughts, behavior, and emotions, identifying automatic unhelpful thoughts, generating beneficial thoughts, changing unproductive behaviors, and strategies for managing procrastination. The third and fourth sessions (3. Emotional Regulation for Problem-Solving; and 4. Problem-Solving Method ) address problem-solving skills and emotional regulation strategies, helping them to identify solvable and unsolvable problems, steps for problem-solving, and applying the SMART methodology (Specific, Measurable, Achievable, Relevant, Time-bound) in problem-solving ( 31 ). The fifth session (5. Self-Care) focuses on self-care practices, including balancing daily demands and time for enjoyment, healthy eating, adequate sleep, and regular physical activity. In the last session (6. Future Planning), students find strategies for maintaining long-term changes and applying what has been learned. Each session lasts approximately 15 minutes and is structured as follows: ( 1 ) Recap of the previous session; ( 2 ) Mindfulness practice; ( 3 ) Skill-focused content; ( 4 ) Invitation to perform homework activities to be completed between sessions; and ( 5 ) Learning verification questions. See more details in Suppl.1. Participants will be asked to complete all six sessions. All sessions will be implemented using Canvas platform, where they will find the audiovisual material for each session and files that will allow them to complete the homework activity between sessions. Canvas is a cloud-based learning management system (LMS) that provides educators, students, and institutions a platform to manage, deliver, and engage in educational content. It is widely used by schools, universities, and other educational organizations to facilitate online learning, blended learning, and classroom management ( 21 ). Control group Participants in the control group will be doing their regular academic activities. Once the study period is completed, and if the results show positive changes in the intervention group, they will be offered the opportunity to access the platform and undergo the intervention. Data collection and measures Data collection and management All the surveys will be administered through Qualtrics software. Qualtrics is a software specially designed for the application of surveys that uses TLS (Transport Layer Security) encryption for all transmitted data ( https://www.qualtrics.com/security-statement/ ). All collected data will be password-protected and encrypted. Only the Principal Investigators had access to the data through a protected password. All participants will be asked to respond to questionaries at baseline, post-intervention, and 12-week follow-up. Socio-demographic features and healthcare background Baseline assessments will include socio-demographic data regarding sex, age, civil status, nationality, university career, year of study, occupation, parental education level, and if they are receiving any scholarships. Healthcare background will include questions developed by the team regarding previous mental health history (2 items) (e.g., “Have you received any psychiatric diagnosis in the last year?”) and treatment (9 items) (e.g., “Have you received any psychological treatment in the last year?”). Response options range from 0 = No to 1 = Yes. Primary outcomes General acceptability Acceptability will be assessed by determining how the intervention program is received by the students and to what extent this intervention meets the needs of the target population. To achieve this, at the end of the program, a general acceptability questionnaire developed by the research team will be administered to the students who participated in the intervention. Some of the questions are: Was the session’s activity interesting/relevant?”, “Did you like the session?”, “What did you like the most?” and “What did you like the least?”). We will also ask for their opinions about potential changes to be included in the future (e.g. “In your opinion, is there something you would change/replace/include?”). The answers to these surveys will be used to improve the sessions in future research. Satisfaction We will use the Client Satisfaction Questionnaire-8 (CSQ-8), which is a 8-item self-reported survey that measures the overall satisfaction with health services received across various populations. Responses are on a Likert scale with four options each, with different wording according to the question. It also includes space for comments and suggestions. This instrument will be slightly adapted to questions oriented to the study context. The internal consistency for Spanish-speaking populations in Spain was acceptable α = 0.80 ( 32 ). Feasibility There are not enough publications or guidelines that standardize qualitative measurable criteria for universal preventive intervention among undergraduates. However, based on the limited literature ( 33 – 36 ), we propose the following criteria: ( 1 ) Degree of recruitment of participants; ( 2 ) Degree of data collection at baseline, post-intervention, and ( 3 ) 12-week follow-up; ( 4 ) Degree in which students complete at least 50% of sessions (n ≥ 3); ( 5 ) Time required to complete ≥ 50% of sessions; and ( 6 ) Degree in which students perform homework between sessions. Feasibility and Progression Criteria Feasibility outcomes and their corresponding thresholds for determining whether progression to a definitive trial is warranted are defined as follows: (1) Degree of recruitment of participants: Feasibility will be considered met if at least 50 students are recruited. (2) Degree of data collection at baseline and post-intervention: Feasibility will be considered met if ≥ 70% of consented students complete assessments at both time points. (3) Degree of data collection at 12-week follow-up: Feasibility will be considered met if ≥ 50% of consented students complete this assessment. (4) Degree in which students complete sessions: Feasibility will be considered met if ≥ 50% of students allocated to the intervention group complete at least 50% of sessions (≥ 3 sessions). (5) Time required to complete all six sessions: Feasibility will be considered met if ≥ 50% of students who complete at least 50% of sessions do so within 8 weeks. (6) Degree in which students perform homework between sessions: Feasibility will be considered met if ≥ 50% of students who complete ≥ 50% of sessions report performing the assigned homework. These thresholds are based on prior feasibility studies of similar digital mental health interventions for university students ( 37 , 38 ). Our thresholds are based on established guidance for pilot trials ( 39 ), which advocate specifying quantitative progression criteria mapped to feasibility outcomes and applying a traffic‑light Go/Amend/Stop framework to guide decisions on progression to a full trial. Secondary outcomes ( 1 ) Depressive Symptoms . We will use the Patient Health Questionnaire-9 (PHQ-9) ( 24 ), a 9-item self-report questionnaire with responses ranging from 0 (Not at all) to 3 (Almost every day). Total scores can range from 0 to 27. Scores of 0–4 indicate no depressive symptoms, 5–9 mild depressive symptoms, 10–14 moderate depressive symptoms, 15–19 moderately severe depressive symptoms, and 20–27 severe depressive symptoms ( 24 ). It has been validated in Chile for people aged 20 years and older, with a sensitivity of 92% and a specificity of 89%, compared to the Hamilton Depression Scale ( 40 ) and among adolescents with an internal consistency = .78; sensitivity = 86.2%, specificity = 82.9%) ( 41 ). ( 2 ) Anxiety Symptoms . We will use the Generalized Anxiety Disorder 7 (GAD-7) ( 42 ). It is a 7-item self-report questionnaire with responses ranging from 0 (Never) to 3 (Almost every day). The total GAD-7 score for the seven items ranges between 0 and 21. Scores of 5, 10 and 15 represent cut-off points for mild, moderate and severe anxiety, respectively. It has been validated in Spanish, where a cut-off score of 10 showed adequate values of sensitivity (86.8%) and specificity (93.4%) ( 31 ). It has been validated among adolescents in Chile, and these results showed adequate internal reliability (Cronbach’s alpha = 0.86, Spearman-Brown coefficient = 0.82) ( 43 ). ( 3 ) Quality of Life. We will use the SF-12 ( 44 ). It assesses quality of life and general health status. It contains 12 items grouped into eight health domains (Physical Functioning, Role Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role Emotional, and Mental Health). The response options form Likert-type scales (where the number of options varies from three to six points, depending on the item), which evaluate the intensity and/or frequency of people's health status. Results for each dimension are coded and transformed into a scale ranging from 0 (worst health state) to 100 (best health state). Although the questionnaire is not designed to provide an overall index, it allows the calculation of two summary scores: Physical and Mental. Previous studies have shown internal consistency estimates above 0.70 ( 45 , 46 ). In the Chilean validation in the adult population, the internal consistency was found to be 0.88 ( 47 ). ( 4 ) Stress Tolerance . We will use the Distress Tolerance Scale (DTS) ( 48 ). This self-reported instrument assesses how individuals experience and endure distressing psychological states. The scale consists of 15 items divided into four subscales measuring Tolerance, Relief, Evaluation, and Regulation. Response options use a five-point Likert format ranging from 1 (Strongly agree) to 5 (Strongly disagree). The Spanish validation of this instrument showed good reliability indicators: Tolerance: α = 0.83; Absorption: α = 0.89; Appraisal: α = 0.84; Regulation: α = 0.83 ( 49 ). ( 5 ) Sleep Quality . We will use the Pittsburgh Sleep Quality Index (PSQI) ( 50 ). It is a self-report questionnaire designed to assess sleep quality and patterns in adults over the past month. This instrument consists of 19 questions divided into seven components: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Responses are based on a four-point Likert scale, where 0 (the best condition) and 3 (the worst) for each component. The total PSQI score ranges from 0 to 21 points, with a global score above 5 indicating poor sleep quality ( 50 ). The Spanish version of the PSQI has a Cronbach's alpha of 0.72, reflecting acceptable internal consistency of the questionnaire ( 51 ). It has been validated for undergraduate students in Chile, where the subscale with the highest subscale-total correlation was noted for sleep quality (r = 0.71) ( 52 ). ( 6 ) Emotional Regulation . We will use The Difficulties in Emotion Regulation Scale (DERS-E) ( 53 ). It is a self-report questionnaire designed to assess difficulties in emotional regulation. This instrument has 28 items and is divided into five dimensions: emotional dysregulation, everyday interference, emotional neglect, emotional confusion, and emotional rejection. Items are responded to using a 5-point Likert scale from 1 (almost never) to 5 (almost always), where a higher score indicates more difficulties in emotional regulation. The psychometric properties of the Spanish validation of DERS-E showed adequate internal consistency with a Cronbach's alpha between 0.71 and 0.73, and good test-retest reliability over 6 months (ρ = 0.74, p < .001) ( 54 ). It has been validated among undergraduate students in Chile, showing a good level of reliability (Cronbach's alpha 0.92) ( 55 ). ( 7 ) Mindfulness Skills . We will use the Five Facet Mindfulness Questionnaire (FFMQ) ( 56 ). It is a 39-item self-report that measures Mindfulness in five facets called Observation, Description, Acting with Awareness, Nonjudgment, and Non-Reactivity. Participants must answer each item on a Likert scale ranging from 1 (never or very rarely true) to 5 (very often or always true); the minimum score of the Questionnaire is 39 points, and the maximum is 195 points. According to Baer et al. ( 57 ) the instrument has adequate to good levels of reliability (Cronbach's alpha from .75 to .92). It has been validated among undergraduate students in Chile showing a good level of reliability (Cronbach's alpha 0.79) ( 58 ). ( 8 ) Cognitive-Behavioral Skills. The Cognitive-Behavioral Therapy Skills Questionnaire (CBTSQ) ( 37 ) will be used to assess the components of CBT. This scale originally has 16 items measuring two skills: cognitive restructuring (CR) and behavioral activation (BA) (i.e., changes in behavioral avoidance/control and cognitive style changes). Respondents rate each item on a 5-point Likert scale, from 1 (I do not do this) to 5 (I always do this). Both scales have good reliability (CR: α = 0.88; BA: α = 0.85). Two items refer to evaluating aspects related to illness or treatment, and since this study aims to evaluate cognitive-behavioral skills, we have opted to exclude these two items, resulting in a 14-item instrument. Among adolescents aged 15 to 18 years, using the 14-item instrument, we found the reliability of α = 0.83 and ω = 0.83 for BA, and α = 0.84 and ω = 0.84 for CR ( 59 ). ( 9 ) Problem-solving skills. We will use the Social Problem Solving-Revised (SPSI-R) ( 60 ). This is a 25-item self-report instrument that measures two adaptive problem-solving dimensions: positive problem orientation (PPO) and rational problem-solving style (RPS); and three dysfunctional dimensions: negative problem orientation (NPO), impulsivity/careless style (IDS), and avoidant style (AS). Each item is scored on a 5-point scale ranging from 0 (not at all true) to 4 (very true). The Spanish version has the same factor structure, adequate alpha coefficients for the five subscales (from .62 to .99) ( 61 ), and overall internal consistency of 0.90 in Chilean adolescents ( 62 ). In the validation of this questionnaire in university students in Peru, good internal consistency indices were found for all OPP subscales (α = 0.68), and excellent indices for ONP (α = 0.76), RPS (α = 0.76), EDI (α = 0.71) and EE (α = 0.74) ( 63 ). ( 10 ) Suicidal Risk . We will use the Columbia-Suicide Severity Rating Scale (C-SSRS) ( 64 ). This scale has six items. The first five items explore the presence of suicidal thoughts, intention, and planning and are assessed over the past month. The sixth item explores suicidal behavior, either as preparation, initiation of a suicide attempt, or a completed suicide attempt over the past 3 months ( 64 ). Each item is answered with Yes or No. The total score ranges from 0 to 6 points. If the answer is "YES" to item 2, items 3, 4, 5, and 6 are formulated, and if the answer is "NO" to item 2, the assessment moves to question 6. Based on responses to the different items, categories of suicidal ideation severity are established: If the answer is "Yes" to item 1 and/or item 2, and "No" to all other items, it indicates a low risk. If the answer is "Yes" to item 2, and "Yes" only to item 3, it indicates moderate risk. Finally, if the answer is "Yes" to item 2, and "Yes" to any of items 4, 5, and 6, it indicates severe risk. It has been validated in English-speaking populations (internal reliability ranges from α = 0.73 to α = 0.93) ( 64 ) and Spanish-speaking populations (α = 0.53) ( 65 ). It has been validated among adolescents in Chile and overall, these findings suggest that the scale is a suitable instrument to both screen suicidal ideation and to accurately classify and differentiate at-risk groups ( 66 ). ( 11 ) Physical Activity : We will use three questions developed by the research team: “Do you usually engage in physical activity during the week or weekend?” Responses range from 0 = No and 1 = Yes; “On those days, on average, how many minutes do you engage in physical activity?” Responses range from 0 to 240 minutes; “How many days a week do you engage in that physical activity?” Responses range from 0 to 7 days. Plans to promote participant retention and complete follow-up During recruitment, university faculties and students will receive extensive information about the study setup and requirements. This information will stress the importance of completing sessions and assessments. From the start of implementing the assessments and the lessons of “CUIDATE,” students will be reminded of the value of their active participation throughout the whole project. Throughout the follow-up period, the researchers will check responses and, if necessary, contact participants to complete their follow-up. Data management and confidentiality Data will be encrypted to protect identifying information (each participant will be assigned an ID number). Only the statistician will have access to the database. Data management will be monitored by the Scientific and Ethical Committee of Universidad de los Andes. The results of this research will be presented in international peer-reviewed journals. Both positive and negative results will be reported. Provisions for trial care There is no potential harm or damage in this trial. The intervention group will receive a scientific-informed intervention developed by an experienced research team; and the control group will receive the usual educational curriculum. However, any situation that compromises participants’ psychological integrity during the modules or assessments related to the project will be mitigated by giving the contact information of the university Well-Being Center. If the study needs substantial amendments, they will be notified to the Scientific and Ethical Committee of Universidad de los Andes. In case amendments concern or affect participants in any way, they will be informed about the changes. If needed, additional consent will be requested and registered. Also, online trial registries will be updated accordingly. Data analyses Socio-demographic features and healthcare background Demographic characteristics and psychological and psychiatric treatment history will be characterized using means (and standard deviations) and percentages (95% confidence intervals). Acceptability The results from the general acceptability questionnaire will be reported according to the mean and standard deviation of the sample participating in the intervention. Satisfaction The results from the satisfaction questionnaire (CSQ-8) will be reported according to the mean and standard deviation of the sample participating in the intervention, and the percentage of students scoring above the theoretical mean score, which in this case is 20 points, will be compared. Feasibility Feasibility results will be analyzed using percentages (proportions) and 95% confidence intervals (CIs). Exploration of the Efficacy Assessment We will use mixed effects models in STATA v.17.1 to describe the course of depressive symptoms (dependent variable) between treatment arms (independent variable) over time. The equation to be used is: Yij = β0 + X’ijβ1 + bi + εij Where Yij​ is the severity of depression (represented by the PHQ-9 score) for a given participant (i) and time point (j),​ is the intercept term, β0​ is the fixed effect representing the treatment effect, β1​ represents the random participant effect, and εij ​represents the measurement error. The analysis will use an intention-to-treat approach; data from all participants enrolled in the study will be analyzed. Multiple imputation will be used to address any missing data in the analysis of clinical outcomes within this pilot study. At the end of this pilot study, we will examine the power of the definitive trial to obtain a more precise estimate of the sample size required for the larger definitive trial, using Monte Carlo simulation of the mixed effects model to account for site clustering. DISCUSSION The proposed study is a pilot Randomized Controlled Trial aiming to assess the acceptability and feasibility of the universal preventive intervention called CUIDATE. This is a self-guided online intervention. The intervention promotes Cognitive Behavior Therapy skills, emotion regulation strategies, and a healthy lifestyle. Furthermore, it is theorized that it may reduce emotional symptoms such as depression and anxiety. There are several self-guided online interventions to prevent mental problems, such as MoodGYM ( 16 ) and StudiCareStress ( 15 , 17 ). Most of the interventions have been tested in highly developed countries, and some require a license to access them, reducing the potential use in more vulnerable settings. No other studies have been conducted in Chile using this methodology among undergraduate students. The study has several strengths. First, the intervention has been designed using the active ingredients or mediators found to be effective in preventive and therapeutic interventions for depression and anxiety problems. Second, the intervention was designed to be accessible and cost-effective for vulnerable students by delivering the intervention in a widely used cloud-based learning management system such as Canvas. Finally, implementation in a university context may raise engagement among students and secure future sustainability ( 67 ). There are, however, some potential limitations. First, there might be a risk of difficulty in recruiting enough students for the pilot study. To minimize this risk, we will prepare the recruitment carefully and inform the academic units promptly, using the close networks of student leaders and student council members to motivate undergraduates. Additionally, there is a risk of low accessibility and completeness of the activities in the online platform and at home between sessions. To reduce this threat, we will provide easy access to the research team in case students need technical support for any questions related to the program's content, and we will use friendly reminders to complete tasks. The results of this research will lay the foundations for future self-guided online universal preventive interventions to reduce depression and anxiety among undergraduates. Abbreviations MSS Mindfulness Skills for Students program CORE–OM Clinical Outcomes in Routine Evaluation Outcome Measure TLS Transport Layer Security CSQ-8 Client Satisfaction Questionnaire-8 PHQ-9 Patient Health Questionnaire-9 GAD-7 Generalized Anxiety Disorder-7 DTS Distress Tolerance Scale PSQI Pittsburgh Sleep Quality Index DERS-E Difficulties in Emotion Regulation Scale FFMQ Five Facet Mindfulness Questionnaire CBTSQ Cognitive-Behavioral Therapy Skills Questionnaire SPSI-R Social Problem Solving-Revised C-SSRS Columbia-Suicide Severity Rating Scale and CI Confidence Interval. Declarations Acknowledgments We thank all participants, university authorities, and staff who will contribute to this project. JG expresses his heartfelt gratitude to the Jacques Maritain Center at the University of Notre Dame for hosting him during his research stay. The access to resources, the collaborative environment, and the valuable insights he gained from discussions with colleagues were instrumental in advancing this work. Authors’ contributions JG, DN, FB and RA conceived the study, led the proposal, protocol development, study design, and methodology. VR, and SR contributed to developing the protocol and methodology. All authors read and approved the final manuscript. Funding This research is funded by the Institutional Development Fund, Ministry of Education, Government of Chile. Unique ID: UAN23101, and by ANID – Millennium Science Initiative Program – NCS2021_081. The funding body does not play a role in the design of the study, data collection, analysis, interpretation, or writing of the manuscript. Ethics approval and consent to participate Approval of the Scientific and Ethical Committee of Universidad de los Andes (CEC 2024075, September 10th, 2024) was obtained. Consent for publication Written and informed consent to publish will be obtained from all participants. No personal data will be presented in the publications, and personal identification will be removed or encrypted for data analyses. Consent materials are available from the corresponding author on request. Competing interests The authors declare that they have no competing interests. Availability of data and materials The datasets produced during the current study will be available from the corresponding author on request. References Gore FM, Bloem PJ, Patton GC, Ferguson J, Joseph V, Coffey C, et al. 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Supplementary Files SPIRIT2013Checklist.docx Suppl1BreifdescriptionoftheIntervention.docx Cite Share Download PDF Status: Under Review Version 1 posted Reviewers invited by journal 09 Oct, 2025 Editor assigned by journal 13 Aug, 2025 First submitted to journal 06 Aug, 2025 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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Neuropsychiatric disorders are one of the main causes of lost years of healthy life, especially among young people aged 15 to 24, in both developed and developing countries (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn this context, undergraduate students are at high risk of facing mental health problems. In the US, a high prevalence of depression (36%) and anxiety (31%) is reported among college students (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e), which contributes to the increased risk of suicide, one of the main causes of death in the 15 to 29 age group (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e). During the 2020\u0026ndash;2021 academic year, more than 60% of college students had at least one mental health problem, according to the Healthy Minds Study, which collects data from 373 campuses across the United States (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn Chile, studies indicate a significant prevalence of similar problems, with recent reports of depressive symptoms (46%), anxiety (46%), and stress (53.5%) among university students (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e). At the Universidad de los Andes, a survey of 5,037 students in 2020 revealed that 37.1% of their students suffered from depression, 37.9% from anxiety, and 54.6% from stress (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e). In addition, 32.5% experienced insomnia and 20.4% were at some risk of suicide, ranging from mild to severe. High consumption of alcohol and other substances was also observed. In 2022, a new study at the same university, involving 1,682 students, showed a prevalence of depression of 27.8%, anxiety of 36.1%, and stress of 12.9%. In addition, insomnia was identified in 38.4% and suicide risk in 18.7% of students (\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e). Harmful alcohol use remained high, reaching 52.7%. Although the positive changes presented between 2020 and 2022, mental health issues in the university population continue to be a public health problem that must be addressed preventively through the implementation of evidence-based programs.\u003c/p\u003e\u003cp\u003eA review of studies published on mental health in higher education students in Chile identified a wide variability in the prevalence of psychological symptoms among students. Findings showed a prevalence range of psychological distress between 22.9% and 40.7%, depressive symptoms between 16.5% and 38.8%, anxiety symptoms between 16.5% and 23.7%, cannabis use in the past 12 months between 19.7% and 29.7%, and alcohol use in the past year between 84.0% and 92.6% (\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eRecent research highlights the effectiveness of preventive interventions in the mental health of university students, whether through digital means, face-to-face actions, or a combination of both. The content of these interventions has allowed us to establish the mechanisms and main mediators that might explain the efficacy of these interventions. For example, recent studies have shown the positive effects of mindfulness on individual health, reducing distress intensity, accelerating emotional recovery, and increasing the ability to engage in goal-oriented behavior (\u003cspan additionalcitationids=\"CR10 CR11\" citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR12\" class=\"CitationRef\"\u003e12\u003c/span\u003e). In mindfulness training, individuals learn to self-regulate their attention (maintain or shift focus when necessary). For example, a mindfulness-based cognitive therapy intervention developed by Dr. Elizabeth English and evaluated by Dr. Julieta Galante at the University of Cambridge was implemented via Zoom throughout 8 90-minute sessions, with positive results. The Mindfulness Skills for Students program (MSS) reduced distress levels during the examination period compared to usual support. Using the Clinical Outcomes in Routine Evaluation Outcome Measure (CORE\u0026ndash;OM) as a measure for distress, the participants in the MSS group had a mean CORE-OM score of 0.87 (SD 0.50) compared to 1.11 (0.57) in the usual support group, with an adjusted mean difference of -0.14 (95% CI: -0.22 to -0.06; p\u0026thinsp;=\u0026thinsp;0.001), indicating a moderate effect size (β -0.44, 95% CI: -0.60 to -0.29; p\u0026thinsp;\u0026lt;\u0026thinsp;0.0001) (\u003cspan citationid=\"CR13\" class=\"CitationRef\"\u003e13\u003c/span\u003e). Another study in England evaluated an online mindfulness intervention with four sessions that achieved notable reductions in perceived stress (d\u0026thinsp;=\u0026thinsp;\u0026minus;\u0026thinsp;1.25), anxiety (d\u0026thinsp;=\u0026thinsp;\u0026minus;\u0026thinsp;1.09), and depression (d\u0026thinsp;=\u0026thinsp;\u0026minus;\u0026thinsp;1.06) compared to a control group, with benefits sustained during follow-ups at 3 and 6 months (\u003cspan citationid=\"CR14\" class=\"CitationRef\"\u003e14\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eOther studies have explored the effect of digital interventions using different mechanisms. For instance, in Germany, an Internet-based intervention with mobile app support called \"StudiCareStress\" was evaluated. This intervention is based on cognitive-behavioral and third-wave techniques and aligns with Lazarus' transactional stress model (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e) by distinguishing between problem-focused coping and emotion regulation. For problem-focused coping, cognitive-behavioral problem-solving strategies are applied to reduce and eliminate modifiable stressors. Emotion regulation refers to how individuals monitor, evaluate, modify, and thus control emotions to meet relevant needs or goals. It has been shown to influence the reduction of various symptoms of mental illness. The intervention comprised eight main modules, each taking 30 to 90 minutes to complete. Participants were recommended to complete at least one and at most two modules per week, aiming to complete the intervention in approximately 5 to 7 weeks. This study revealed significant effects in relieving stress (d\u0026thinsp;=\u0026thinsp;0.69), anxiety (d\u0026thinsp;=\u0026thinsp;0.76), and depression (d\u0026thinsp;=\u0026thinsp;0.63), as well as improvements in academic productivity (d\u0026thinsp;=\u0026thinsp;0.33) and academic performance (d\u0026thinsp;=\u0026thinsp;0.34) after 7 weeks (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eIn Australia, a study evaluated the \"MoodGYM\" program, which is delivered online and is entirely self-administered. This program incorporates cognitive-behavioral strategies such as \"attention bias modification\" and \"information processing.\" Attention bias modification strategies reduce the tendency of individuals with emotional disorders to pay excessive attention to negative information. These strategies enable individuals to reduce attention to negative information while actively using positive or neutral information. On the other hand, information processing strategies aim to reduce biases present in individuals with emotional disorders, such as depression, by disconnecting from negative content, improving information interpretation processes, and reducing memory biases. In the study evaluating this program (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e), participants completed the intervention over six weeks. Participants were asked to spend 40 minutes weekly on MoodGYM, complete the sessions in one go, and only log in to MoodGYM when prompted. Participants who completed the intervention (77,2%) showed a continuous improvement in depressive symptoms. Additionally, significantly fewer individuals in the intervention group met major depression diagnostic criteria at follow-up than in the control group (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eA recent review concluded that Internet-based interventions for the mental health of university students can have significant effects on depression, anxiety, and other mental health issues (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). Reviewing the components of the programs included in this review, it was concluded that most interventions incorporate training in skills from cognitive-behavioral theory and various aspects of emotional regulation, in addition to psychoeducational components and elements related to developing healthy behaviors, such as physical exercise and sleep hygiene.\u003c/p\u003e\u003cp\u003eUnfortunately, there are no studies in Chile or Latin America evaluating preventive interventions using technology-based programs in the university population. All results presented above come from developed countries. When designing a new intervention, it is important to incorporate lessons learned from previous experiences. For instance, a successful universal mental health prevention program for university students should incorporate strategies that promote emotion regulation (\u003cspan citationid=\"CR18\" class=\"CitationRef\"\u003e18\u003c/span\u003e), a crucial component for well-being and social adaptation (\u003cspan citationid=\"CR19\" class=\"CitationRef\"\u003e19\u003c/span\u003e). The integration of mindfulness techniques and cognitive-behavioral therapy would facilitate individuals' recognition and appropriate management of their emotions (\u003cspan citationid=\"CR20\" class=\"CitationRef\"\u003e20\u003c/span\u003e). Additionally, the literature suggests the importance of developing skills for coping with academic stress through effective evaluation of stressful situations and the implementation of strategies focused on both problem-solving and emotional regulation (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e). Furthermore, according to the evidence, aspects of psychoeducation on stress, anxiety, and depression, problem-solving, and the development of healthy behaviors, such as physical activity and sleep care, should also be incorporated (\u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eOn the other hand, this new intervention must incorporate easy-to-use and culturally relevant content to promote engagement and adherence in university students. In this sense, technology-based interventions, whether through an internet platform or mobile applications, seem very promising for facilitating access to this content for students. Technology allows for the approach of the common language in which university students are immersed. Specifically, Universidad de los Andes has Canvas platform (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e) that supports students in their regular academic activities. Based on experiences from other interventions, such as the \"MoodGYM\", it can be expected that using Canvas can promote adherence (\u003cspan citationid=\"CR22\" class=\"CitationRef\"\u003e22\u003c/span\u003e) and be effective as it has been shown for learning experiences (\u003cspan citationid=\"CR23\" class=\"CitationRef\"\u003e23\u003c/span\u003e). Finally, if these interventions prove effective, they have a high potential for widespread use to promote better well-being in Latin American countries.\u003c/p\u003e\u003cp\u003eIn this study we will develop a brief online intervention called CUIDATE, incorporating the demonstrated effectiveness mediators in other interventions, such as training in mindfulness skills, emotional regulation, academic stress coping, problem-solving, and interpersonal effectiveness, to prevent depression and anxiety symptoms.\u003c/p\u003e\n\u003ch3\u003eGeneral objective\u003c/h3\u003e\n\u003cp\u003eThe general objective of this study is to determine the acceptability and feasibility of a universal online mental health prevention program for university students. Secondarily, it aims to reduce depressive and anxious symptoms and improve quality of life.\u003c/p\u003e\u003cdiv id=\"Sec3\" class=\"Section2\"\u003e\u003ch2\u003eSpecifics Objectives\u003c/h2\u003e\u003cp\u003e\u003cb\u003ePrimary Objectives\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo determine the general acceptability using a questionnaire developed by the research team and to determine satisfaction acceptability using the CSQ-8 questionnaire.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo determine the feasibility of recruiting study subjects, retaining participants, and attending and completing sessions.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003cp\u003e\u003cb\u003eSecondary Objectives\u003c/b\u003e\u003c/p\u003e\u003cp\u003e\u003col\u003e\u003cspan\u003e\u003cli\u003e\u003cp\u003eTo explore the effects of the intervention on participants' depressive and anxious symptoms and quality of life.\u003c/p\u003e\u003c/li\u003e\u003c/span\u003e\u003c/ol\u003e\u003c/p\u003e\u003c/div\u003e"},{"header":"METHODS","content":"\u003cdiv id=\"Sec5\" class=\"Section2\"\u003e\u003ch2\u003eStudy design, setting and participants\u003c/h2\u003e\u003cp\u003eThis is a pilot randomized controlled trial, parallel-group type, in which \u0026ldquo;CUIDATE\u0026rdquo;, a universal online self-guided intervention, will be compared to a control group that will not receive the intervention. The setting will be one private university located in Santiago, Chile. undergraduate students are expected to be recruited and allocated 1:1. We will evaluate the acceptability and feasibility of this intervention. We will also explore the changes in depressive and anxiety symptoms post-intervention and 12-week follow-up.\u003c/p\u003e\u003cp\u003eInclusion criteria for participants\u003c/p\u003e\u003cp\u003e(1) Undergraduate students at a private university from various degree programs.\u003c/p\u003e\u003cp\u003e(2) 18\u0026thinsp;+\u0026thinsp;years old.\u003c/p\u003e\u003cp\u003e(3) Able to read and speak Spanish.\u003c/p\u003e\u003cp\u003e(4) Availability of time to participate.\u003c/p\u003e\u003cp\u003eExclusion criteria for participants\u003c/p\u003e\u003cp\u003e(1) Patient Health Questionnaire-9 (PHQ-9) score\u0026thinsp;\u0026ge;\u0026thinsp;15 (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). This cutoff score is used to exclude students with moderately severe or severe depressive symptoms who may have not benefit of participating in this intervention. These students will be referred to the Well-Being Center of the university for further assessment.\u003c/p\u003e\u003cp\u003e(2) Active suicidality, measured by the Columbia Suicide Severity Rating Scale with a score\u0026thinsp;\u0026ge;\u0026thinsp;3. This instrument measures suicidal ideation, intention, and planning in the last month or attempt in the last 3 months. These students will be referred to the Well-Being Center of the university for further assessment.\u003c/p\u003e\u003cp\u003e(3) Currently undergoing psychiatric treatment for a severe condition, such as psychotic pathology and/or substance abuse.\u003c/p\u003e\u003cp\u003e(4) History of psychiatric hospitalization in the last two years.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eSample size\u003c/h3\u003e\n\u003cp\u003eSince this is a pilot study, it is not necessary to calculate a sample size (\u003cspan citationid=\"CR25\" class=\"CitationRef\"\u003e25\u003c/span\u003e); the pilot study will be the basis for performing a sample size calculation for a larger trial (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e). A pilot study, such as the one presented in this proposal, aims to assess the acceptability and feasibility of implementing such an intervention in a higher education institution. Specifically, the information obtained to determine feasibility is crucial if one later intends to conduct a larger randomized controlled trial aimed at evaluating the efficacy or effectiveness of the intervention.\u003c/p\u003e\u003cp\u003eIt has been suggested that n\u0026thinsp;=\u0026thinsp;30 is an acceptable size for a pilot study (\u003cspan citationid=\"CR27\" class=\"CitationRef\"\u003e27\u003c/span\u003e). Others have indicated at least n\u0026thinsp;=\u0026thinsp;12 per group, equivalent to n\u0026thinsp;=\u0026thinsp;24 for a traditional two-group study (\u003cspan citationid=\"CR28\" class=\"CitationRef\"\u003e28\u003c/span\u003e) or other estimates (\u003cspan citationid=\"CR29\" class=\"CitationRef\"\u003e29\u003c/span\u003e). However, if we want to estimate the main study\u0026acute;s standard deviation and effect sizes between 0.4 and 0.6, we should probably seek a sample size of at least 50 (for 95% confidence) (\u003cspan citationid=\"CR30\" class=\"CitationRef\"\u003e30\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eWith information related to the flow of student participants regarding those invited to complete the questionnaire, those who complete the questionnaire, those who are eligible to participate according to the inclusion and exclusion criteria, and those who participate in the intervention and complete the post-intervention evaluation it will be possible to estimate the statistical power obtained in this study. Additionally, this information will be useful for calculating the sample size for a future randomized controlled trial aimed at evaluating the efficacy or effectiveness of the intervention (\u003cspan citationid=\"CR26\" class=\"CitationRef\"\u003e26\u003c/span\u003e).\u003c/p\u003e\n\u003ch3\u003eEthical considerations\u003c/h3\u003e\n\u003cp\u003e All evaluation data will be collected following the Declaration of Helsinki with the approval of the ethics committee of the Universidad de los Andes (CEC 2024075, September 10th, 2024). Informed and written consent will be obtained from all participants. Confidentiality and the freedom to withdraw from it at any time will be assured throughout the study.\u003c/p\u003e\u003cdiv id=\"Sec8\" class=\"Section2\"\u003e\u003ch2\u003eRecruitment\u003c/h2\u003e\u003cp\u003eFor this study, we have obtained authorization from the Rector\u0026rsquo;s Office and all academic units of the University before inviting students. We have developed a close relationship with the Well-Being Center of the university to support students in need. Furthermore, we have built a close alliance with student centers to reach out to students using social media platforms. Each academic unit will send information about the study, aims, and methodology (e.g., randomization process, duration, requirements) as well as benefits and risks of participation to the students' institutional emails. Additionally, research assistants will visit all courses to extend the invitation to participate in the study. This invitation will include access to the consent and the baseline assessment using the platform Qualtrics (a platform that allows the collection of information online, with high-security standards and that also can facilitate digital signature through a cell phone, tablet or computer). These initial assessment instruments will help identify students who meet the inclusion and exclusion criteria. Students who meet the inclusion criteria will be contacted and assigned to a group according to the randomization procedure.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eRandomization and allocation\u003c/h3\u003e\n\u003cp\u003eAll participants who meet the inclusion and exclusion criteria will be randomized into two groups, either the intervention group or the control group, in a ratio of 1:1. Randomization will be carried out using the \"random\" formula in an Excel spreadsheet, which allows for random distribution.\u003c/p\u003e\n\u003ch3\u003eBlinding\u003c/h3\u003e\n\u003cp\u003eDue to the nature of the intervention, participants are not blinded to their group assignment. Assessments will be conducted through self-report questionnaires sent electronically, and their evaluation will be done automatically, without human intervention. In the data analysis, the statistician will be blinded to the participants' intervention group in the data analysis.\u003c/p\u003e\u003cdiv id=\"Sec11\" class=\"Section2\"\u003e\u003ch2\u003eParticipant timeline\u003c/h2\u003e\n\u003cp\u003eTable 1. Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) diagram.\u003c/p\u003e\n\u003cp\u003e\u003cimg 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\" width=\"644\" height=\"435\"\u003e\u003c/p\u003e\n\u003c/div\u003e\u003cdiv id=\"Sec12\" class=\"Section2\"\u003e\u003ch2\u003eIntervention and control groups\u003c/h2\u003e\u003cdiv id=\"Sec13\" class=\"Section3\"\u003e\u003ch2\u003eCUIDATE\u003c/h2\u003e\u003cp\u003eThe research team developed a universal mental health prevention intervention called CUIDATE, which consists of six weekly sessions organized in sequential skill training. The first two sessions (1. Relationship between Thoughts, Emotions, and Behavior; and 2. How to Deal with Procrastination) include cognitive-behavioral techniques, such as psychoeducation about the relationship between thoughts, behavior, and emotions, identifying automatic unhelpful thoughts, generating beneficial thoughts, changing unproductive behaviors, and strategies for managing procrastination. The third and fourth sessions (3. Emotional Regulation for Problem-Solving; and 4. Problem-Solving Method ) address problem-solving skills and emotional regulation strategies, helping them to identify solvable and unsolvable problems, steps for problem-solving, and applying the SMART methodology (Specific, Measurable, Achievable, Relevant, Time-bound) in problem-solving (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e). The fifth session (5. Self-Care) focuses on self-care practices, including balancing daily demands and time for enjoyment, healthy eating, adequate sleep, and regular physical activity. In the last session (6. Future Planning), students find strategies for maintaining long-term changes and applying what has been learned.\u003c/p\u003e\u003cp\u003eEach session lasts approximately 15 minutes and is structured as follows: (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) Recap of the previous session; (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) Mindfulness practice; (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) Skill-focused content; (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) Invitation to perform homework activities to be completed between sessions; and (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e) Learning verification questions. See more details in Suppl.1. Participants will be asked to complete all six sessions.\u003c/p\u003e\u003cp\u003eAll sessions will be implemented using Canvas platform, where they will find the audiovisual material for each session and files that will allow them to complete the homework activity between sessions. Canvas is a cloud-based learning management system (LMS) that provides educators, students, and institutions a platform to manage, deliver, and engage in educational content. It is widely used by schools, universities, and other educational organizations to facilitate online learning, blended learning, and classroom management (\u003cspan citationid=\"CR21\" class=\"CitationRef\"\u003e21\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec14\" class=\"Section2\"\u003e\u003ch2\u003eControl group\u003c/h2\u003e\u003cp\u003eParticipants in the control group will be doing their regular academic activities. Once the study period is completed, and if the results show positive changes in the intervention group, they will be offered the opportunity to access the platform and undergo the intervention.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec15\" class=\"Section2\"\u003e\u003ch2\u003eData collection and measures\u003c/h2\u003e\u003cdiv id=\"Sec16\" class=\"Section3\"\u003e\u003ch2\u003eData collection and management\u003c/h2\u003e\u003cp\u003eAll the surveys will be administered through Qualtrics software. Qualtrics is a software specially designed for the application of surveys that uses TLS (Transport Layer Security) encryption for all transmitted data (\u003cspan class=\"ExternalRef\"\u003e\u003cspan class=\"RefSource\"\u003ehttps://www.qualtrics.com/security-statement/\u003c/span\u003e\u003cspan address=\"https://www.qualtrics.com/security-statement/\" targettype=\"URL\" class=\"RefTarget\"\u003e\u003c/span\u003e\u003c/span\u003e). All collected data will be password-protected and encrypted. Only the Principal Investigators had access to the data through a protected password. All participants will be asked to respond to questionaries at baseline, post-intervention, and 12-week follow-up.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec17\" class=\"Section2\"\u003e\u003ch2\u003eSocio-demographic features and healthcare background\u003c/h2\u003e\u003cp\u003eBaseline assessments will include socio-demographic data regarding sex, age, civil status, nationality, university career, year of study, occupation, parental education level, and if they are receiving any scholarships. Healthcare background will include questions developed by the team regarding previous mental health history (2 items) (e.g., \u0026ldquo;Have you received any psychiatric diagnosis in the last year?\u0026rdquo;) and treatment (9 items) (e.g., \u0026ldquo;Have you received any psychological treatment in the last year?\u0026rdquo;). Response options range from 0\u0026thinsp;=\u0026thinsp;No to 1\u0026thinsp;=\u0026thinsp;Yes.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec18\" class=\"Section2\"\u003e\u003ch2\u003ePrimary outcomes\u003c/h2\u003e\u003cdiv id=\"Sec19\" class=\"Section3\"\u003e\u003ch2\u003eGeneral acceptability\u003c/h2\u003e\u003cp\u003eAcceptability will be assessed by determining how the intervention program is received by the students and to what extent this intervention meets the needs of the target population. To achieve this, at the end of the program, a general acceptability questionnaire developed by the research team will be administered to the students who participated in the intervention. Some of the questions are: Was the session\u0026rsquo;s activity interesting/relevant?\u0026rdquo;, \u0026ldquo;Did you like the session?\u0026rdquo;, \u0026ldquo;What did you like the most?\u0026rdquo; and \u0026ldquo;What did you like the least?\u0026rdquo;). We will also ask for their opinions about potential changes to be included in the future (e.g. \u0026ldquo;In your opinion, is there something you would change/replace/include?\u0026rdquo;). The answers to these surveys will be used to improve the sessions in future research.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec20\" class=\"Section2\"\u003e\u003ch2\u003eSatisfaction\u003c/h2\u003e\u003cp\u003eWe will use the Client Satisfaction Questionnaire-8 (CSQ-8), which is a 8-item self-reported survey that measures the overall satisfaction with health services received across various populations. Responses are on a Likert scale with four options each, with different wording according to the question. It also includes space for comments and suggestions. This instrument will be slightly adapted to questions oriented to the study context. The internal consistency for Spanish-speaking populations in Spain was acceptable α\u0026thinsp;=\u0026thinsp;0.80 (\u003cspan citationid=\"CR32\" class=\"CitationRef\"\u003e32\u003c/span\u003e).\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec21\" class=\"Section2\"\u003e\u003ch2\u003eFeasibility\u003c/h2\u003e\u003cp\u003e There are not enough publications or guidelines that standardize qualitative measurable criteria for universal preventive intervention among undergraduates. However, based on the limited literature (\u003cspan additionalcitationids=\"CR34 CR35\" citationid=\"CR33\" class=\"CitationRef\"\u003e33\u003c/span\u003e\u0026ndash;\u003cspan citationid=\"CR36\" class=\"CitationRef\"\u003e36\u003c/span\u003e), we propose the following criteria: (\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) Degree of recruitment of participants; (\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) Degree of data collection at baseline, post-intervention, and (\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) 12-week follow-up; (\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) Degree in which students complete at least 50% of sessions (n\u0026thinsp;\u0026ge;\u0026thinsp;3); (\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e) Time required to complete\u0026thinsp;\u0026ge;\u0026thinsp;50% of sessions; and (\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) Degree in which students perform homework between sessions.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec22\" class=\"Section2\"\u003e\u003ch2\u003eFeasibility and Progression Criteria\u003c/h2\u003e\u003cp\u003eFeasibility outcomes and their corresponding thresholds for determining whether progression to a definitive trial is warranted are defined as follows:\u003c/p\u003e\u003cp\u003e(1) Degree of recruitment of participants: Feasibility will be considered met if at least 50 students are recruited.\u003c/p\u003e\u003cp\u003e(2) Degree of data collection at baseline and post-intervention: Feasibility will be considered met if\u0026thinsp;\u0026ge;\u0026thinsp;70% of consented students complete assessments at both time points.\u003c/p\u003e\u003cp\u003e(3) Degree of data collection at 12-week follow-up: Feasibility will be considered met if\u0026thinsp;\u0026ge;\u0026thinsp;50% of consented students complete this assessment.\u003c/p\u003e\u003cp\u003e(4) Degree in which students complete sessions: Feasibility will be considered met if\u0026thinsp;\u0026ge;\u0026thinsp;50% of students allocated to the intervention group complete at least 50% of sessions (\u0026ge;\u0026thinsp;3 sessions).\u003c/p\u003e\u003cp\u003e(5) Time required to complete all six sessions: Feasibility will be considered met if\u0026thinsp;\u0026ge;\u0026thinsp;50% of students who complete at least 50% of sessions do so within 8 weeks.\u003c/p\u003e\u003cp\u003e(6) Degree in which students perform homework between sessions: Feasibility will be considered met if\u0026thinsp;\u0026ge;\u0026thinsp;50% of students who complete\u0026thinsp;\u0026ge;\u0026thinsp;50% of sessions report performing the assigned homework.\u003c/p\u003e\u003cp\u003eThese thresholds are based on prior feasibility studies of similar digital mental health interventions for university students (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e, \u003cspan citationid=\"CR38\" class=\"CitationRef\"\u003e38\u003c/span\u003e). Our thresholds are based on established guidance for pilot trials (\u003cspan citationid=\"CR39\" class=\"CitationRef\"\u003e39\u003c/span\u003e), which advocate specifying quantitative progression criteria mapped to feasibility outcomes and applying a traffic‑light Go/Amend/Stop framework to guide decisions on progression to a full trial.\u003c/p\u003e\u003cp\u003eSecondary outcomes\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR1\" class=\"CitationRef\"\u003e1\u003c/span\u003e) \u003cem\u003eDepressive Symptoms\u003c/em\u003e. We will use the Patient Health Questionnaire-9 (PHQ-9) (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e), a 9-item self-report questionnaire with responses ranging from 0 (Not at all) to 3 (Almost every day). Total scores can range from 0 to 27. Scores of 0\u0026ndash;4 indicate no depressive symptoms, 5\u0026ndash;9 mild depressive symptoms, 10\u0026ndash;14 moderate depressive symptoms, 15\u0026ndash;19 moderately severe depressive symptoms, and 20\u0026ndash;27 severe depressive symptoms (\u003cspan citationid=\"CR24\" class=\"CitationRef\"\u003e24\u003c/span\u003e). It has been validated in Chile for people aged 20 years and older, with a sensitivity of 92% and a specificity of 89%, compared to the Hamilton Depression Scale (\u003cspan citationid=\"CR40\" class=\"CitationRef\"\u003e40\u003c/span\u003e) and among adolescents with an internal consistency\u0026thinsp;=\u0026thinsp;.78; sensitivity\u0026thinsp;=\u0026thinsp;86.2%, specificity\u0026thinsp;=\u0026thinsp;82.9%) (\u003cspan citationid=\"CR41\" class=\"CitationRef\"\u003e41\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR2\" class=\"CitationRef\"\u003e2\u003c/span\u003e) \u003cem\u003eAnxiety Symptoms\u003c/em\u003e. We will use the Generalized Anxiety Disorder 7 (GAD-7) (\u003cspan citationid=\"CR42\" class=\"CitationRef\"\u003e42\u003c/span\u003e). It is a 7-item self-report questionnaire with responses ranging from 0 (Never) to 3 (Almost every day). The total GAD-7 score for the seven items ranges between 0 and 21. Scores of 5, 10 and 15 represent cut-off points for mild, moderate and severe anxiety, respectively. It has been validated in Spanish, where a cut-off score of 10 showed adequate values of sensitivity (86.8%) and specificity (93.4%) (\u003cspan citationid=\"CR31\" class=\"CitationRef\"\u003e31\u003c/span\u003e). It has been validated among adolescents in Chile, and these results showed adequate internal reliability (Cronbach\u0026rsquo;s alpha\u0026thinsp;=\u0026thinsp;0.86, Spearman-Brown coefficient\u0026thinsp;=\u0026thinsp;0.82) (\u003cspan citationid=\"CR43\" class=\"CitationRef\"\u003e43\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR3\" class=\"CitationRef\"\u003e3\u003c/span\u003e) \u003cem\u003eQuality of Life.\u003c/em\u003e We will use the SF-12 (\u003cspan citationid=\"CR44\" class=\"CitationRef\"\u003e44\u003c/span\u003e). It assesses quality of life and general health status. It contains 12 items grouped into eight health domains (Physical Functioning, Role Physical, Bodily Pain, General Health, Vitality, Social Functioning, Role Emotional, and Mental Health). The response options form Likert-type scales (where the number of options varies from three to six points, depending on the item), which evaluate the intensity and/or frequency of people's health status. Results for each dimension are coded and transformed into a scale ranging from 0 (worst health state) to 100 (best health state). Although the questionnaire is not designed to provide an overall index, it allows the calculation of two summary scores: Physical and Mental. Previous studies have shown internal consistency estimates above 0.70 (\u003cspan citationid=\"CR45\" class=\"CitationRef\"\u003e45\u003c/span\u003e, \u003cspan citationid=\"CR46\" class=\"CitationRef\"\u003e46\u003c/span\u003e). In the Chilean validation in the adult population, the internal consistency was found to be 0.88 (\u003cspan citationid=\"CR47\" class=\"CitationRef\"\u003e47\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR4\" class=\"CitationRef\"\u003e4\u003c/span\u003e) \u003cem\u003eStress Tolerance\u003c/em\u003e. We will use the Distress Tolerance Scale (DTS) (\u003cspan citationid=\"CR48\" class=\"CitationRef\"\u003e48\u003c/span\u003e). This self-reported instrument assesses how individuals experience and endure distressing psychological states. The scale consists of 15 items divided into four subscales measuring Tolerance, Relief, Evaluation, and Regulation. Response options use a five-point Likert format ranging from 1 (Strongly agree) to 5 (Strongly disagree). The Spanish validation of this instrument showed good reliability indicators: Tolerance: α\u0026thinsp;=\u0026thinsp;0.83; Absorption: α\u0026thinsp;=\u0026thinsp;0.89; Appraisal: α\u0026thinsp;=\u0026thinsp;0.84; Regulation: α\u0026thinsp;=\u0026thinsp;0.83 (\u003cspan citationid=\"CR49\" class=\"CitationRef\"\u003e49\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR5\" class=\"CitationRef\"\u003e5\u003c/span\u003e) \u003cem\u003eSleep Quality\u003c/em\u003e. We will use the Pittsburgh Sleep Quality Index (PSQI) (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). It is a self-report questionnaire designed to assess sleep quality and patterns in adults over the past month. This instrument consists of 19 questions divided into seven components: subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbances, use of sleeping medication, and daytime dysfunction. Responses are based on a four-point Likert scale, where 0 (the best condition) and 3 (the worst) for each component. The total PSQI score ranges from 0 to 21 points, with a global score above 5 indicating poor sleep quality (\u003cspan citationid=\"CR50\" class=\"CitationRef\"\u003e50\u003c/span\u003e). The Spanish version of the PSQI has a Cronbach's alpha of 0.72, reflecting acceptable internal consistency of the questionnaire (\u003cspan citationid=\"CR51\" class=\"CitationRef\"\u003e51\u003c/span\u003e). It has been validated for undergraduate students in Chile, where the subscale with the highest subscale-total correlation was noted for sleep quality (r = 0.71) (\u003cspan citationid=\"CR52\" class=\"CitationRef\"\u003e52\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR6\" class=\"CitationRef\"\u003e6\u003c/span\u003e) \u003cem\u003eEmotional Regulation\u003c/em\u003e. We will use The Difficulties in Emotion Regulation Scale (DERS-E) (\u003cspan citationid=\"CR53\" class=\"CitationRef\"\u003e53\u003c/span\u003e). It is a self-report questionnaire designed to assess difficulties in emotional regulation. This instrument has 28 items and is divided into five dimensions: emotional dysregulation, everyday interference, emotional neglect, emotional confusion, and emotional rejection. Items are responded to using a 5-point Likert scale from 1 (almost never) to 5 (almost always), where a higher score indicates more difficulties in emotional regulation. The psychometric properties of the Spanish validation of DERS-E showed adequate internal consistency with a Cronbach's alpha between 0.71 and 0.73, and good test-retest reliability over 6 months (ρ\u0026thinsp;=\u0026thinsp;0.74, p\u0026thinsp;\u0026lt;\u0026thinsp;.001) (\u003cspan citationid=\"CR54\" class=\"CitationRef\"\u003e54\u003c/span\u003e). It has been validated among undergraduate students in Chile, showing a good level of reliability (Cronbach's alpha 0.92) (\u003cspan citationid=\"CR55\" class=\"CitationRef\"\u003e55\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR7\" class=\"CitationRef\"\u003e7\u003c/span\u003e) \u003cem\u003eMindfulness Skills\u003c/em\u003e. We will use the Five Facet Mindfulness Questionnaire (FFMQ) (\u003cspan citationid=\"CR56\" class=\"CitationRef\"\u003e56\u003c/span\u003e). It is a 39-item self-report that measures Mindfulness in five facets called Observation, Description, Acting with Awareness, Nonjudgment, and Non-Reactivity. Participants must answer each item on a Likert scale ranging from 1 (never or very rarely true) to 5 (very often or always true); the minimum score of the Questionnaire is 39 points, and the maximum is 195 points. According to Baer et al. (\u003cspan citationid=\"CR57\" class=\"CitationRef\"\u003e57\u003c/span\u003e) the instrument has adequate to good levels of reliability (Cronbach's alpha from .75 to .92). It has been validated among undergraduate students in Chile showing a good level of reliability (Cronbach's alpha 0.79) (\u003cspan citationid=\"CR58\" class=\"CitationRef\"\u003e58\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR8\" class=\"CitationRef\"\u003e8\u003c/span\u003e) \u003cem\u003eCognitive-Behavioral Skills.\u003c/em\u003e The Cognitive-Behavioral Therapy Skills Questionnaire (CBTSQ) (\u003cspan citationid=\"CR37\" class=\"CitationRef\"\u003e37\u003c/span\u003e) will be used to assess the components of CBT. This scale originally has 16 items measuring two skills: cognitive restructuring (CR) and behavioral activation (BA) (i.e., changes in behavioral avoidance/control and cognitive style changes). Respondents rate each item on a 5-point Likert scale, from 1 (I do not do this) to 5 (I always do this). Both scales have good reliability (CR: α\u0026thinsp;=\u0026thinsp;0.88; BA: α\u0026thinsp;=\u0026thinsp;0.85). Two items refer to evaluating aspects related to illness or treatment, and since this study aims to evaluate cognitive-behavioral skills, we have opted to exclude these two items, resulting in a 14-item instrument. Among adolescents aged 15 to 18 years, using the 14-item instrument, we found the reliability of α\u0026thinsp;=\u0026thinsp;0.83 and ω\u0026thinsp;=\u0026thinsp;0.83 for BA, and α\u0026thinsp;=\u0026thinsp;0.84 and ω\u0026thinsp;=\u0026thinsp;0.84 for CR (\u003cspan citationid=\"CR59\" class=\"CitationRef\"\u003e59\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR9\" class=\"CitationRef\"\u003e9\u003c/span\u003e) Problem-solving skills. We will use the Social Problem Solving-Revised (SPSI-R) (\u003cspan citationid=\"CR60\" class=\"CitationRef\"\u003e60\u003c/span\u003e). This is a 25-item self-report instrument that measures two adaptive problem-solving dimensions: positive problem orientation (PPO) and rational problem-solving style (RPS); and three dysfunctional dimensions: negative problem orientation (NPO), impulsivity/careless style (IDS), and avoidant style (AS). Each item is scored on a 5-point scale ranging from 0 (not at all true) to 4 (very true). The Spanish version has the same factor structure, adequate alpha coefficients for the five subscales (from .62 to .99) (\u003cspan citationid=\"CR61\" class=\"CitationRef\"\u003e61\u003c/span\u003e), and overall internal consistency of 0.90 in Chilean adolescents (\u003cspan citationid=\"CR62\" class=\"CitationRef\"\u003e62\u003c/span\u003e). In the validation of this questionnaire in university students in Peru, good internal consistency indices were found for all OPP subscales (α\u0026thinsp;=\u0026thinsp;0.68), and excellent indices for ONP (α\u0026thinsp;=\u0026thinsp;0.76), RPS (α\u0026thinsp;=\u0026thinsp;0.76), EDI (α\u0026thinsp;=\u0026thinsp;0.71) and EE (α\u0026thinsp;=\u0026thinsp;0.74) (\u003cspan citationid=\"CR63\" class=\"CitationRef\"\u003e63\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR10\" class=\"CitationRef\"\u003e10\u003c/span\u003e) \u003cem\u003eSuicidal Risk\u003c/em\u003e. We will use the Columbia-Suicide Severity Rating Scale (C-SSRS) (\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e). This scale has six items. The first five items explore the presence of suicidal thoughts, intention, and planning and are assessed over the past month. The sixth item explores suicidal behavior, either as preparation, initiation of a suicide attempt, or a completed suicide attempt over the past 3 months (\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e). Each item is answered with Yes or No. The total score ranges from 0 to 6 points. If the answer is \"YES\" to item 2, items 3, 4, 5, and 6 are formulated, and if the answer is \"NO\" to item 2, the assessment moves to question 6. Based on responses to the different items, categories of suicidal ideation severity are established: If the answer is \"Yes\" to item 1 and/or item 2, and \"No\" to all other items, it indicates a low risk. If the answer is \"Yes\" to item 2, and \"Yes\" only to item 3, it indicates moderate risk. Finally, if the answer is \"Yes\" to item 2, and \"Yes\" to any of items 4, 5, and 6, it indicates severe risk. It has been validated in English-speaking populations (internal reliability ranges from α\u0026thinsp;=\u0026thinsp;0.73 to α\u0026thinsp;=\u0026thinsp;0.93) (\u003cspan citationid=\"CR64\" class=\"CitationRef\"\u003e64\u003c/span\u003e) and Spanish-speaking populations (α\u0026thinsp;=\u0026thinsp;0.53) (\u003cspan citationid=\"CR65\" class=\"CitationRef\"\u003e65\u003c/span\u003e). It has been validated among adolescents in Chile and overall, these findings suggest that the scale is a suitable instrument to both screen suicidal ideation and to accurately classify and differentiate at-risk groups (\u003cspan citationid=\"CR66\" class=\"CitationRef\"\u003e66\u003c/span\u003e).\u003c/p\u003e\u003cp\u003e(\u003cspan citationid=\"CR11\" class=\"CitationRef\"\u003e11\u003c/span\u003e) \u003cem\u003ePhysical Activity\u003c/em\u003e: We will use three questions developed by the research team: \u0026ldquo;Do you usually engage in physical activity during the week or weekend?\u0026rdquo; Responses range from 0\u0026thinsp;=\u0026thinsp;No and 1\u0026thinsp;=\u0026thinsp;Yes; \u0026ldquo;On those days, on average, how many minutes do you engage in physical activity?\u0026rdquo; Responses range from 0 to 240 minutes; \u0026ldquo;How many days a week do you engage in that physical activity?\u0026rdquo; Responses range from 0 to 7 days.\u003c/p\u003e\u003cdiv id=\"Sec23\" class=\"Section3\"\u003e\u003ch2\u003ePlans to promote participant retention and complete follow-up\u003c/h2\u003e\u003cp\u003eDuring recruitment, university faculties and students will receive extensive information about the study setup and requirements. This information will stress the importance of completing sessions and assessments. From the start of implementing the assessments and the lessons of \u0026ldquo;CUIDATE,\u0026rdquo; students will be reminded of the value of their active participation throughout the whole project. Throughout the follow-up period, the researchers will check responses and, if necessary, contact participants to complete their follow-up.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec24\" class=\"Section2\"\u003e\u003ch2\u003eData management and confidentiality\u003c/h2\u003e\u003cp\u003eData will be encrypted to protect identifying information (each participant will be assigned an ID number). Only the statistician will have access to the database. Data management will be monitored by the Scientific and Ethical Committee of Universidad de los Andes. The results of this research will be presented in international peer-reviewed journals. Both positive and negative results will be reported.\u003c/p\u003e\u003cdiv id=\"Sec25\" class=\"Section3\"\u003e\u003ch2\u003eProvisions for trial care\u003c/h2\u003e\u003cp\u003eThere is no potential harm or damage in this trial. The intervention group will receive a scientific-informed intervention developed by an experienced research team; and the control group will receive the usual educational curriculum. However, any situation that compromises participants\u0026rsquo; psychological integrity during the modules or assessments related to the project will be mitigated by giving the contact information of the university Well-Being Center.\u003c/p\u003e\u003cp\u003eIf the study needs substantial amendments, they will be notified to the Scientific and Ethical Committee of Universidad de los Andes. In case amendments concern or affect participants in any way, they will be informed about the changes. If needed, additional consent will be requested and registered. Also, online trial registries will be updated accordingly.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec26\" class=\"Section3\"\u003e\u003ch2\u003eData analyses\u003c/h2\u003e\u003cdiv id=\"Sec27\" class=\"Section4\"\u003e\u003ch2\u003eSocio-demographic features and healthcare background\u003c/h2\u003e\u003cp\u003eDemographic characteristics and psychological and psychiatric treatment history will be characterized using means (and standard deviations) and percentages (95% confidence intervals).\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv id=\"Sec28\" class=\"Section2\"\u003e\u003ch2\u003eAcceptability\u003c/h2\u003e\u003cp\u003eThe results from the general acceptability questionnaire will be reported according to the mean and standard deviation of the sample participating in the intervention.\u003c/p\u003e\u003c/div\u003e\u003cdiv id=\"Sec29\" class=\"Section2\"\u003e\u003ch2\u003eSatisfaction\u003c/h2\u003e\u003cp\u003eThe results from the satisfaction questionnaire (CSQ-8) will be reported according to the mean and standard deviation of the sample participating in the intervention, and the percentage of students scoring above the theoretical mean score, which in this case is 20 points, will be compared.\u003c/p\u003e\u003c/div\u003e\n\u003ch3\u003eFeasibility\u003c/h3\u003e\n\u003cp\u003eFeasibility results will be analyzed using percentages (proportions) and 95% confidence intervals (CIs).\u003c/p\u003e\u003cdiv id=\"Sec31\" class=\"Section2\"\u003e\u003ch2\u003eExploration of the Efficacy Assessment\u003c/h2\u003e\u003cp\u003eWe will use mixed effects models in STATA v.17.1 to describe the course of depressive symptoms (dependent variable) between treatment arms (independent variable) over time. The equation to be used is:\u003c/p\u003e\u003cp\u003eYij\u0026thinsp;=\u0026thinsp;β0\u0026thinsp;+\u0026thinsp;X\u0026rsquo;ijβ1\u0026thinsp;+\u0026thinsp;bi\u0026thinsp;+\u0026thinsp;εij\u003c/p\u003e\u003cp\u003eWhere Yij​ is the severity of depression (represented by the PHQ-9 score) for a given participant (i) and time point (j),​ is the intercept term, β0​ is the fixed effect representing the treatment effect, β1​ represents the random participant effect, and εij ​represents the measurement error. The analysis will use an intention-to-treat approach; data from all participants enrolled in the study will be analyzed. Multiple imputation will be used to address any missing data in the analysis of clinical outcomes within this pilot study.\u003c/p\u003e\u003cp\u003eAt the end of this pilot study, we will examine the power of the definitive trial to obtain a more precise estimate of the sample size required for the larger definitive trial, using Monte Carlo simulation of the mixed effects model to account for site clustering.\u003c/p\u003e\u003c/div\u003e"},{"header":"DISCUSSION","content":"\u003cp\u003eThe proposed study is a pilot Randomized Controlled Trial aiming to assess the acceptability and feasibility of the universal preventive intervention called CUIDATE. This is a self-guided online intervention. The intervention promotes Cognitive Behavior Therapy skills, emotion regulation strategies, and a healthy lifestyle. Furthermore, it is theorized that it may reduce emotional symptoms such as depression and anxiety.\u003c/p\u003e\u003cp\u003eThere are several self-guided online interventions to prevent mental problems, such as MoodGYM (\u003cspan citationid=\"CR16\" class=\"CitationRef\"\u003e16\u003c/span\u003e) and StudiCareStress (\u003cspan citationid=\"CR15\" class=\"CitationRef\"\u003e15\u003c/span\u003e, \u003cspan citationid=\"CR17\" class=\"CitationRef\"\u003e17\u003c/span\u003e). Most of the interventions have been tested in highly developed countries, and some require a license to access them, reducing the potential use in more vulnerable settings. No other studies have been conducted in Chile using this methodology among undergraduate students.\u003c/p\u003e\u003cp\u003eThe study has several strengths. First, the intervention has been designed using the active ingredients or mediators found to be effective in preventive and therapeutic interventions for depression and anxiety problems. Second, the intervention was designed to be accessible and cost-effective for vulnerable students by delivering the intervention in a widely used cloud-based learning management system such as Canvas. Finally, implementation in a university context may raise engagement among students and secure future sustainability (\u003cspan citationid=\"CR67\" class=\"CitationRef\"\u003e67\u003c/span\u003e).\u003c/p\u003e\u003cp\u003eThere are, however, some potential limitations. First, there might be a risk of difficulty in recruiting enough students for the pilot study. To minimize this risk, we will prepare the recruitment carefully and inform the academic units promptly, using the close networks of student leaders and student council members to motivate undergraduates. Additionally, there is a risk of low accessibility and completeness of the activities in the online platform and at home between sessions. To reduce this threat, we will provide easy access to the research team in case students need technical support for any questions related to the program's content, and we will use friendly reminders to complete tasks.\u003c/p\u003e\u003cp\u003eThe results of this research will lay the foundations for future self-guided online universal preventive interventions to reduce depression and anxiety among undergraduates.\u003c/p\u003e"},{"header":"Abbreviations","content":"\u003cdiv class=\"DefinitionList\"\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eMSS\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eMindfulness Skills for Students program\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eCORE\u0026ndash;OM\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eClinical Outcomes in Routine Evaluation Outcome Measure\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eTLS\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eTransport Layer Security\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eCSQ-8\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eClient Satisfaction Questionnaire-8\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003ePHQ-9\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ePatient Health Questionnaire-9\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eGAD-7\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eGeneralized Anxiety Disorder-7\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eDTS\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eDistress Tolerance Scale\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003ePSQI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003ePittsburgh Sleep Quality Index\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eDERS-E\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eDifficulties in Emotion Regulation Scale\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eFFMQ\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eFive Facet Mindfulness Questionnaire\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eCBTSQ\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eCognitive-Behavioral Therapy Skills Questionnaire\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eSPSI-R\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eSocial Problem Solving-Revised\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eC-SSRS\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eColumbia-Suicide Severity Rating Scale\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003cdiv class=\"DefinitionListEntry\"\u003e\u003cdiv class=\"Term\"\u003eand CI\u003c/div\u003e\u003cdiv class=\"Description\"\u003e\u003cp\u003eConfidence Interval.\u003c/p\u003e\u003c/div\u003e\u003c/div\u003e\u003c/div\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eAcknowledgments\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWe thank all participants, university authorities, and staff who will contribute to this project.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003eJG expresses his heartfelt gratitude to the Jacques Maritain Center at the University of Notre Dame for hosting him during his research stay. The access to resources, the collaborative environment, and the valuable insights he gained from discussions with colleagues were instrumental in advancing this work.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthors\u0026rsquo; contributions\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eJG, DN, FB and RA conceived the study, led the proposal, protocol development, study design, and methodology. VR, and SR contributed to developing the protocol and methodology. All authors read and approved the final manuscript.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThis research is funded by the Institutional Development Fund, Ministry of Education, Government of Chile. Unique ID: UAN23101, and by ANID \u0026ndash; Millennium Science Initiative Program \u0026ndash; NCS2021_081.\u003c/p\u003e\n\u003cp\u003eThe funding body does not play a role in the design of the study, data collection, analysis, interpretation, or writing of the manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eApproval of the Scientific and Ethical Committee of Universidad de los Andes (CEC 2024075, September 10th, 2024) was obtained.\u0026nbsp;\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eWritten and informed consent to publish will be obtained from all participants. No personal data will be presented in the publications, and personal identification will be removed or encrypted for data analyses. Consent materials are available from the corresponding author on request.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCompeting interests\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe authors declare that they have no competing interests.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAvailability of data and materials\u0026nbsp;\u003c/strong\u003e\u003c/p\u003e\n\u003cp\u003eThe datasets produced during the current study will be available from the corresponding author on request.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eGore FM, Bloem PJ, Patton GC, Ferguson J, Joseph V, Coffey C, et al. Global burden of disease in young people aged 10-24 years: a systematic analysis. Lancet. 2011;377(9783):2093-102.\u003c/li\u003e\n\u003cli\u003eEisenberg D, Ketchen Lipson S, Heinze J, Zhou S. The Healthy Minds Study - Fall 2020 Data Report 2020. 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Am J Psychiatry. 2011;168(12):1266-77.\u003c/li\u003e\n\u003cli\u003eAl-Halab\u0026iacute; S, S\u0026aacute;iz PA, Bur\u0026oacute;n P, Garrido M, Benabarre A, Jim\u0026eacute;nez E, et al. Validation of a Spanish version of the Columbia-Suicide Severity Rating Scale (C-SSRS). Rev Psiquiatr Salud Ment. 2016;9(3):134-42.\u003c/li\u003e\n\u003cli\u003eN\u0026uacute;\u0026ntilde;ez D, Arias V, M\u0026eacute;ndez-Bustos P, Fresno A. Is a brief self-report version of the Columbia severity scale useful for screening suicidal ideation in Chilean adolescents? Compr Psychiatry. 2019;88:39-48.\u003c/li\u003e\n\u003cli\u003eAlvarez-Huerta P, Muela A, Larrea I. Student engagement and creative confidence beliefs in higher education. Thinking Skills and Creativity. 2021;40:100821.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"pilot-and-feasibility-studies","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pafs","sideBox":"Learn more about [Pilot and Feasibility Studies](http://pilotfeasibilitystudies.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/PAFS/default.aspx","title":"Pilot and Feasibility Studies","twitterHandle":"@MedicalEvidence","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Acceptability, Feasibility, Depression, Anxiety, University students, Universal prevention","lastPublishedDoi":"10.21203/rs.3.rs-5837565/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-5837565/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003e\u003cstrong\u003eBackground\u003c/strong\u003e. The mental health of university students is a global concern, with high rates of depression, anxiety, and stress significantly impacting their well-being and academic performance. Several studies reveal high prevalence rates, highlighting the need for effective prevention strategies. Evidence shows that digital interventions incorporating mindfulness, emotional regulation, and cognitive-behavioral techniques can reduce symptoms of mental illness. However, such programs are scarce in Latin America. This study proposes developing and evaluating \"CUIDATE,\" a brief online universal preventive intervention targeting depression and anxiety among university students, focusing on acceptability, feasibility, and potential improvements in mental health and quality of life.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMethods:\u003c/strong\u003eThis is a pilot randomized controlled trial, parallel-group type, where students using CUIDATE, a 6-session online self-guided universal preventive intervention, are compared to students doing regular academic work. 50 students in a private university in Santiago, Chile, are expected to be recruited and randomized with 1:1 allocation. Assessments of acceptability and feasibility during the whole project will be collected at the end of the intervention. Measurements of depression and anxiety symptoms, quality of life, and several mindfulness, emotional regulation, and cognitive-behavioral skills will be conducted among students of both groups at baseline, post-intervention and 12-week follow-up.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eDiscussion. \u003c/strong\u003eThis pilot Randomized Controlled Trial aims to evaluate the acceptability and feasibility of \"CUIDATE,\" a self-guided online intervention promoting cognitive-behavioral therapy skills, emotion regulation, and a healthy lifestyle to prevent depression and anxiety. Unlike existing programs, often limited to developed countries, CUIDATE is designed for accessibility and cost-effectiveness, using the widely adopted Canvas platform to engage university students. While challenges like recruitment and task adherence are anticipated, proactive measures, including student leaders’ network support, will mitigate these risks. The study's findings will produce relevant information about these novel designs and may help guide future studies, such as a randomized controlled trial on a large scale.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTrial registration:\u003c/strong\u003e Clinical Trials NCT06419868, May 14. 2024 [https://www.clinicaltrials.gov/study/NCT06419868]\u003c/p\u003e","manuscriptTitle":"Acceptability and feasibility of a universal online preventive intervention for depression and anxiety among university students: protocol of a pilot randomized controlled trial.","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-10-07 09:36:39","doi":"10.21203/rs.3.rs-5837565/v1","editorialEvents":[{"type":"communityComments","content":0},{"type":"reviewersInvited","content":"","date":"2025-10-09T19:43:48+00:00","index":"","fulltext":""},{"type":"editorAssigned","content":"","date":"2025-08-13T04:32:06+00:00","index":"","fulltext":""},{"type":"submitted","content":"Pilot and Feasibility Studies","date":"2025-08-06T12:09:53+00:00","index":"","fulltext":""}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"pilot-and-feasibility-studies","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"pafs","sideBox":"Learn more about [Pilot and Feasibility Studies](http://pilotfeasibilitystudies.biomedcentral.com/)","snPcode":"","submissionUrl":"https://www.editorialmanager.com/PAFS/default.aspx","title":"Pilot and Feasibility Studies","twitterHandle":"@MedicalEvidence","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"7b03fd9e-88d4-46c2-9fe2-84716aea6361","owner":[],"postedDate":"October 7th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"under-review","subjectAreas":[],"tags":[],"updatedAt":"2025-10-07T09:36:39+00:00","versionOfRecord":[],"versionCreatedAt":"2025-10-07 09:36:39","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-5837565","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-5837565","identity":"rs-5837565","version":["v1"]},"buildId":"XKTyCvWXoU3ODBz1xrDgd","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}