SciELO - Scientific Electronic Library Online

 
vol.46 issue2Towards the design of holistic mental health programs in the student populationAssociation between level of anxiety and degree of psychosomatic features in medical students at a private university in Northern Peru author indexsubject indexsearch form
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • Have no similar articlesSimilars in SciELO

Share


Salud mental

Print version ISSN 0185-3325

Salud Ment vol.46 n.2 México Mar./Apr. 2023  Epub July 28, 2023

https://doi.org/10.17711/sm.0185-3325.2023.007 

Original articles

Effectiveness evaluation of online Mindfulness in mental health and alcohol consumption in medical students during the COVID-19 pandemic

Evaluación de la eficacia del Mindfulness online en la salud mental y el consumo de alcohol en estudiantes de medicina durante la pandemia de COVID-19

León Jesús German-Ponciano 1  

María Fernanda Zapata-de la Rosa 2  

Brenda Itzel Molina-Cadena 2  

Yared Sarai Velasco-Gómez 2  

Ángel Alberto Puig-Lagunes 2   * 

1Instituto de Neuroetología, Universidad Veracruzana, Xalapa, Veracruz, México.

2Facultad de Medicina, Universidad Veracruzana, Campus Minatitlán, Veracruz, México.


Abstract

Introduction

As a result of the COVID-19 pandemic, the prevalence of stress, anxiety, depression, and alcohol consumption has increased among medical students. Mindfulness is an intervention to decrease these psychopathologies and alcohol consumption; however, evidence has shown unclear results regarding its efficacy.

Objective

To evaluate the effectiveness of an online Mindfulness-based intervention (MBI) on stress, anxiety, and depression symptomatology levels, as well as on alcohol consumption and mindfulness status in medical students during the COVID-19 pandemic.

Method

A quasi-experimental study was conducted on 237 students, obtaining sociodemographic data. In addition the levels of psychopathology, alcohol consumption, and state of mindfulness: were measured pre-and post-intervention through the DASS-21, AUDIT, and MASS instruments. Eight online Mindfulness sessions were conducted once a week for approximately one hour each.

Results

MBI did not reduce levels of psychopathologies or alcohol consumption, nor did the mindfulness status improve. High levels of psychopathologies, dropout rate, and lack of voluntary participation were the main factors limiting the effectiveness of the online MBI.

Discussion and conclusion

The online MBI wasn’t effective among the population under study: we recommend generation strategies where students are involved in and complete intervention programs. Results from this research will help enhance future online mindfulness interventions.

Keywords: Mindfulness; medical education; anxiety; stress; depression; alcohol consumption

Resumen

Introducción

Derivado de la pandemia del COVID-19, la prevalencia de estrés, ansiedad, depresión y consumo de alcohol ha incrementado entre los estudiantes de medicina. La intervención por Mindfulness ha reportado disminuir estas psicopatologías y el consumo de alcohol; no obstante, la evidencia muestra resultados poco claros respecto a su eficacia.

Objetivo

Evaluar la eficacia de la intervención basada en Mindfulness online (IBM) sobre los niveles de sintomatología de estrés, ansiedad y depresión, así como en el consumo de alcohol y el estado de atención plena en estudiantes de medicina durante la pandemia por COVID-19.

Método

Se realizó una investigación cuasi-experimental en 237 estudiantes de medicina, de los cuales se obtuvieron datos sociodemográficos; además, se midieron los niveles de psicopatologías, consumo de alcohol, y el estado de atención plena pre y post intervención a través de los instrumentos DASS-21, AUDIT, y MASS. Se llevaron a cabo ocho sesiones de Mindfulness online, una vez por semana, de aproximadamente una hora cada una.

Resultados

La IBM no redujo los niveles de psicopatologías ni de consumo de alcohol ni mejoró el estado de atención plena. Los altos niveles de psicopatologías, la tasa de abandono y la falta de participación voluntaria, fueron los principales factores que limitan la eficacia del IBM online.

Discusión y conclusión

La IBM online no fue efectiva entre la población estudiada: se recomienda la generación de estrategias en las que los estudiantes se involucren y completen los programas de intervención, los resultados de esta investigación ayudarán a mejorar futuras intervenciones de mindfulness online.

Palabras clave: Mindfulness; educación médica; ansiedad; estrés; depresión; consumo de alcohol

INTRODUCTION

The COVID-19 pandemic, declared by the World Health Organization in March 2020, has wreaked unprecedented havoc and difficulties in the quality and development of human life, impacting cultural, political, economic, social, physical, and mental (Gloster et al., 2020).

The closure of educational institutions to reduce the transmission of COVID-19 puts education at risk and damages the mental health of millions of children and young people (Caldera-Villalobos et al., 2020; O’Byrne, Gavin, & McNicholas, 2020; Sanchez, Peña, & Ng, 2020). Recent international reports show that during the pandemic, 26 and 40% of university students show symptoms of anxiety, 21.6% of depression and up to 84% of students show stress (Lai et al., 2020; Lasheras et al., 2020; Ramón-Arbués et al., 2020).

Moreover, these restrictions predispose to feelings of loneliness, despair, and dysfunction in emotional regulation that may lead to alcohol consumption and abuse (Alsoufi et al., 2020; Chodkiewicz, Talarowska, Miniszewska, Nawrocka, & Bilinski, 2020; Meo, Abukhalaf, Alomar, Sattar, & Klonoff, 2020; Testino, 2020; Killgore, Cloonan, Taylor, Lucas, & Dailey, 2021). In this respect, people with depression or anxiety comorbidity with alcohol dependency, up to 70% (Pitchot & Dor, 2019). Among medical students, the prevalence of alcohol use is high, ranging between 66% and 97% (Coker, Coker, & Sanni, 2018; Freire, Castro, & Petroianu, 2020). This has been linked to absenteeism, school dropout, learning difficulties, poor academic performance, and other psychiatric disorders (Freire et al., 2020). As well as high rates of unemployment, social conflicts, domestic violence, and legal penalties (Soares, Farias, & Monteiro, 2019; Witkiewitz, Litten, & Leggio, 2019; Nasui et al., 2021).

Mindfulness-Based Intervention programs (MBI) employ mindfulness techniques in the present moment. Some research has shown that MBI is effective in reducing stress, anxiety, and depression by up to 41% in different types of populations, including university students (Sancho et al., 2018; Huberty et al., 2019). However, it reports that MBIs have low compliance rates and high dropout rates, which reduces their effectiveness (Danilewitz et al., 2018). On the other hand, with the restrictions on physical interaction due to the COVID-19 pandemic, the online MBI application may be an alternative strategy to prevent the development of psychopathologies and alcohol consumption among students (Farris et al., 2021). Morledge et al. (2013) conducted a randomized controlled trial of an online MBI and found a significant reduction in stress levels in medical students. Nevertheless, the research evaluating the effectiveness of online MBIs on psychopathologies and alcohol consumption is still recent; little is known about the factors that might influence the effectiveness of such interventions.

To prevent and improve the mental health conditions of the student population, as well as to propose and refine cost-effective and flexible intervention strategies in their application, this study aimed to evaluate the effectiveness of the online MBI on mental health and alcohol consumption in medical students during the COVID-19 pandemic.

METHOD

Study design and subjects

A longitudinal, quasi-experimental, interventional study was carried out on medical students at the University of Veracruz, Minatitlán campus, in March-July 2021. Was used a non-probabilistic sample of medical students invited of both sexes (n = 560), from the first to the fifth year of the degree, who had accepted and signed their voluntary participation in the study, and who answered completed pre- and post-intervention inventories. Students under psychiatric/psychological treatment or who wanted to drop out of the intervention were excluded and eliminated.

Measurements

Sociodemographic Questionnaire

A questionnaire was applied to collect sociodemographic data that included: sex, age, school semester, school grades, family characteristics, health, hygiene measures, isolation, activities, hobbies, perception of the situation, and online classes, as well as nutritional quality and sleeping time during the pandemic.

Depression, Anxiety, and Stress Scale - 21 (DASS-21)

The DASS-21 is a set of three self-report scales designed to measure the emotional states of depression, anxiety, and stress (Zanon et al., 2021). Each of the three DASS-21 subscales contains seven items, scored from 0 to 3, added up, and interpreted separately. In the data analysis, we used cut-off scores established by Román, Santibáñez, and Vinet (2016) to identify youth at risk of mental health problems.

Alcohol Use Disorders Identification Test (AUDIT)

This test was applied to identify people with patterns of risk of alcohol harm. It has three evaluation domains, consisting of 10 items in total. The first three items: evaluate risky drinking (8-15 points) with questions aimed at knowing the frequency of drinking; items 4 to 6 determined the symptoms of dependence (from 16 to 19 points), looking for data on loss of control over drinking; and questions 7 to 10, evaluate the high-risk of alcohol consumption (from 20 points or more), with questions about the sense of guilt and alcohol abuse consequences (Kamboj et al., 2017; Wielgosz, Goldberg, Kral, Dunne, & Davidson, 2019; Shuai, Bakou, Hardy, & Hogarth, 2020).

Mindfulness Attention Awareness Scale test (MASS)

This instrument measures the frequency of the state of dispositional mindfulness in daily activities without the need for prior training, that is, the open or receptive awareness of attention to what is happening in the present. It consists of 15 items that score individually from 1 to 6. The total score is a result of the arithmetic mean of all items: where high scores indicate a higher level of attention fully and consciously (Schuman-Olivier et al., 2020).

Procedure

The dissemination project and its objectives were addressed to the university medical students through social networks (Facebook and WhatsApp), employing infographics and posters. Subsequently, the first assessment (pre-intervention): was determined using a digital form in Google Forms, where the levels of symptoms of stress, anxiety, and depression were measured using the DASS-21 scale, as well as the high risk of alcohol consumption using the AUDIT. Finally, we used the MASS scale to determine the student's level of the state of dispositional mindfulness.

Subsequently, the online MBI was performed: for eight sessions supervised by a psychologist, one session every week, lasting approximately one to two hours, using the Zoom platform. Finally, the efficacy of the MBI on the symptomatology of stress, anxiety, depression, alcohol consumption, and full awareness: was evaluated post-intervention through the same inventories (Figure 1).

Figure 1 Flow diagram - quasi-experimental study process. 

Online Mindfulness-Based Intervention programs (MBI)

The online MBI was taught in eight sessions, lasting approximately one to two hours, once a week, using the virtual platform Zoom, consisting of group meditation guided and supervised by an expert psychologist. The content of each session was based on: relaxation techniques, breathing, movement meditation, guided meditation, single-pointed focus meditation, formal meditation, informal meditation, and body scanning. Were recommended that the students were in a space large enough to perform the movements, in a comfortable posture, seated and with a straight back, preferably wearing comfortable clothing. After each session, was recommended to the participants to do a series of meditation exercises, recorded in a logbook, which was reviewed in subsequent sessions to promote concentration for a longer time.

Statistical analysis

Qualitative variables were analyzed as frequencies and percentages, and quantitative variables as means and standard error. The Chi-square test and Pearson R were used to verify the association and, or correlation between dependent; and independent variables. Comparisons of psychopathologies, alcohol consumption, and sociodemographic variables were performed using Student's t statistics and dependent and independent analysis of variance (ANOVA). The tests were selected depending on normality and homoscedasticity of variance. All data were analyzed with the SPSS 25 for Mac OS (IBM Corp., Armonk, NY, USA). Were considered a 95% confidence level for all statistical tests, and p ≤ .05 as statistically significant.

Ethical considerations

The project was approved by the Ethics and Institutional Research Committee (CI-001-2021). In addition, it is subject to the General Health Law of Mexico in Articles 13, 14, 16, 20, and 36, Chapters 96, 100, and 102, and following with the Declaration of Helsinki for Medical Research Involving Human Subjects (Ley General de Salud, 1984; Asociación Médica Mundial, 2013).

RESULTS

The final sample consisted of 177 students, of which 105 (59.3%) were women and 72 (40.7%) men, with an average age of 20.8 ± .13 years (range 18 to 25 years), most with overall school grades between 8.5 and 9.0 and whose only concern was studying. Only one student (.6%) was living as a concubine, and the remainder of the students were single (99.4%). Most lived with both their parents (61.6%), and about 50% mentioned mental health problems, followed by economic issues for which they might drop out school (Table 1).

Table 1  Sociodemographic characteristics of medical students  

    Frequency Percentage
Sex Women 105 59.3
Men 72 40.7
Age (years old) 18-19 43 24.3
20-21 70 39.5
> 22 54 30.5
Semester 2 59 33.3
4 35 19.8
6 32 18.1
8 34 19.2
10 17 9.6
School grades 7.51 to 8.0 10 5.7
8.01 to 8.50 24 13.6
8.51 to 9.0 72 40.7
9.01 to 9.5 60 33.9
9.51 to 10 9 5.1
Working status/work situation Just study 138 78.0
Mainly works and also studies 28 15.8
Studies and also looking for work 11 6.2
Reasons to drop out school Neither or does not apply 89 50.3
Physical health problems 4 2.3
Mental health problems 41 23.2
Economic problems 30 16.9
Family problems 7 4.0
Other 6 3.4
Family conformation Married parents live together 109 61.6
Married parents live separately 13 7.3
Divorced parents 23 13.0
Single mother 16 9.0
Widowed father/mother 6 3.4
Other 10 5.6
Head of household’s
educational attainment
Primary school 7 4.0
Middle school 24 13.6
High school 42 23.7
Bachelor’s degree 88 49.7
Post-graduate education 16 9.0

The lifestyle and routines that students had maintained during the pandemic show that 73.4% practiced social distancing, health care, and hygiene basics; additionally, about 60% of students mentioned having social interaction with people outside their family and having some hobbies. Likewise, most of them did some physical activity twice to thrice times a week for no longer than one hour. In addition to 39.7% of students reported having poor or regular sleep quality, sleeping less than six hours a day (Table 2).

Table 2  Habits and lifestyles during the pandemic of medical students  

    Frequency Percentage
Current situation at home Does not apply isolation, social dis-
tancing, or basic healthcare mea-
sures
1 .6
Only basic healthcare measures 9 5.1
Social distancing and basic health-
care measures
130 73.4
Strict home isolation 37 20.9
Social interaction No 67 37.9
Yes 110 62.1
Hobby No 67 37.9
Yes 110 62.1
Physical activity No 77 43.5
Yes 100 56.5
Time spent on physical
activity
Neither or does not apply 77 43.5
< 1 hour 73 41.2
1-2 hours 11 6.2
> 2 hours 16 9.0
The weekly amount of
physical activity
Neither or does not apply 77 43.5
1-2 times per week 17 9.6
3-4 times per week 46 25.9
> 4 times per week 37 20.9
Sleep quality Bad 69 38.9
Regular 80 45.2
Good 28 15.8
Hours of sleep 1-3 hours 15 8.5
4-6 hours 127 71.8
7-8 hours 29 16.4
> 8 hours 6 3.4
Nutritional quality Bad 25 14.1
Regular 63 35.6
Good 89 50.3

On the other hand, it was observed that about 29% of the students were not afraid of SARS-CoV-2 infection, however, 31.6% reported being afraid of the transmission. In addition, 69.5% said they were afraid that a family member would die from COVID-19 and about 30% were afraid of returning to face-to-face classes (Figure 2A). Regarding the perception of taking online classes during the pandemic, most of the medical students considered their experience, learning, academic performance, and relationship with teachers as “regular”, while their relationship with classmates was considered mostly “good” (Figure 2B). Finally, 13.1% of the students indicated having thought about suicide.

Figure 2 A) Students’ perception of the situation and the fears they face during the pandemic. B) Studentsʼ perception of the experience of taking online classes during the pandemic. 

By the end of the MBI was observed that 31 (17.5%) students attended more than four sessions, and 146 (82.5%) did not attend any sessions. When comparing pre- and post- MBI values, no significant differences were observed in any variable between the previously established groups. On the contrary, when comparing pre- and post- MBI values, the group that did not attend any session showed significant changes in most of the variables, except AUDIT. In contrast, the group that assisted more than 50% of the MBI sessions did not show significant differences in any variable (Table 3).

Table 3  Comparative analysis between the groups that attended or not the sessions of MBI  

  Not attended (n = 146)   Attended to > 50% of sessions (n = 31)
  Pre-MBI Post- MBI   Pre-MBI Post- MBI
AUDIT 2.527 ± .297 2.472 ± .266   2.548 ± .474 2.283 ± .520
Stress 6.932 ± .423 4.199 ± .384   7.516 ± .689 5.581 ± 1.004
*Wilcoxon = -4153, p < .001  
Depression 5.411 ± .432 3.336 ± .370   5.839 ± .994 4.355 ± .805
*Wilcoxon = -3130, p < .001  
Anxiety 4.925 ± .393 2.822 ± .324   5.419 ± .917 4.581 ± .931
*Wilcoxon = -3191, p < .001  
MASS 59.58 ± 1.425 65.12 ± 1.529   62.68 ± 3.291 64.03 ± 3.318
*Wilcoxon = 2431, p = .015  

*Significant intra-group differences between pre- and post-MBI scores, analyzed with the Wilcoxon sign range test. No intergroup differences were observed in any variables.

Elevated levels of stress, anxiety, depression symptoms, and alcohol consumption were associated with: the experience of taking online classes, poor sleep quality, poor perception of academic performance, their learning, relationship with teachers and peers, less physical activity, thoughts of dropping out of medical school, increased measures of social distancing and health care, and hygiene basics.

Besides that, it observed that students with higher levels of anxiety and stress symptomatology presented a higher attendance at the MBI sessions (supplementary table). In addition, about 20% of the students who showed high-risk alcohol consumption had considered suicide and dropped out of medical school during the pandemic.

In the MASS inventory, lower scores were associated: with non-attendance at MBI sessions. Conversely, higher scores were positively associated with a better experience of online classes and a higher educational level of the head of household (X2 = 22.635, p = .031), where higher levels of education were associated with higher levels of concentration (supplementary table).

Other variables such as gender, school grades, nutritional quality, number of people at home, having a hobby, fear of COVID-19, and fear of death of a family member caused by COVID-19, fear of returning to face-to-face classes, among others were not associated with the symptomatology of stress, anxiety, depression, and alcohol consumption.

DISCUSSION AND CONCLUSION

The findings in this study showed that the online MBI was not effectiveness on stress symptomatology, anxiety, depression, alcohol consumption, or mindfulness in medical students. Those could be associated: with the size sample, the high levels of psychopathology of the participants at the beginning of the intervention, the high dropout rate, and the low voluntary participation.

In this regard, in a recent review, the authors analyzed ten studies of Mindfulness intervention in medical students indicating that these interventions did not produce significant reductions in the levels of stress, anxiety, or depression, compared to the groups without intervention (Sekhar et al., 2021) which is consistent with the results obtained in this research. It has also been reported, that the lower effectiveness of the MBIs is due to small sample sizes, high dropout rates from the program, the timeframe implemented intervention, and the lack of participation, commitment, and development of the activities during the sessions (Chmielewski, Łoś, & Łuczyński, 2021) characteristics observed in this study.

Likewise, the lack of reduction in the psychopathologies levels after the MBI could be associated with: the severity of the symptoms presented by the students who attended the sessions since they showed elevated symptomatology (severe or extreme) in the indicators of stress, anxiety, and depression before the intervention, compared to those who did not attend. These findings suggest that the practice of Mindfulness may have limitations in subjects with some psychological disorders (Schuman-Olivier et al., 2020). Similarly, despite the great popularity that MBIs have recently gained, a recent meta-analysis revealed the low or almost null effectiveness of this type of intervention on emotional problems (anxiety and depression) in young students (Zenner, Herrnleben-Kurz, & Walach, 2014), which is consistent with the results obtained in this study.

On the contrary, it was observed on an intra-group level that individuals who did not attend the MBI showed reduced levels of psychopathology and an increase in mindfulness between the first and second measurements. Those could be due to the timeframe or date when the questionnaires were applied (Puig-Lagunes, Vargas-Álvarez, Salinas-Méndez, Ricaño-Santos, & Puig-Nolasco, 2020). Other papers suggested: that the timeframe of the study is crucial, as it may bias the results on the effectiveness of the MBIs (Godara et al., 2021) and a similar situation occurred in the present study, where the first measurement was performed in May when students were in the final evaluations and could present high levels of psychopathologies, while the second measurement was carried out near the vacation period when there was a less academic load.

On the other hand, although the mental health needs of medical students are evident, they are reluctant to seek treatment and to use psychological care services (Rodriguez, Corse, & Rosen, 2017), the main barriers to seeking them are: the feeling that their problems are not important, economic costs, the concern that nobody understands them, and the lack of time due to their rotations and extensive study schedules (Arenas-Monreal, Hernández-Tezoquipa, Valdez-Santiago, & Bonilla-Fernández, 2004; Givens & Tjia, 2002; Rodriguez et al., 2017), this, at the same time, decreases their autonomy and willingness to participate in sports, hobbies and social life, negatively affecting the balance of work life, family life and self-care (Arenas-Monreal et al., 2004; Picton, 2021).

It has been reported that some medical students underestimate other areas of health and the effectiveness of non-medical treatments such as psychotherapy, reducing their voluntary approach and attachment to interventions (Constantinou, Georgiou, & Perdikogianni, 2017). Moreover, most students ignore conventional healthcare routes, formal consultations, promoting self-diagnosis, and peer counseling, with whom they can take informal treatments that, in most cases, are inefficient (Gold, Johnson, Leydon, Rohrbaugh, & Wilkins, 2015; Thistlethwaite, Quirk, & Evans, 2010).

Likewise, there has been reported significant concern about the use of mental health services by students due to the fear of losing the confidentiality of any diagnosis of an emotional problem (Givens & Tjia, 2002; Gold et al., 2015; Rodriguez et al., 2017), as it may represent a danger to their academic record, for the stigma of using mental health services, since students who receive psychological counseling are less likely to obtain residency positions (Givens & Tjia, 2002).

The foregoing is evidence of a lack of policies, programs, and spaces that promote self-care in medical schools, so it is essential to promote the development of self-care skills within these schools, so that future health professionals may be able to induce a favorable change in themselves and people (Arenas-Monreal et al., 2004), considering that some research shows that education in self-care of medical students can contribute to laying the foundation for the formation of physicians more capable of serving patients by taking care of themselves (Ayala, Omorodion, Nmecha, Winseman, & Mason, 2017; Ball & Bax, 2022).

Regarding alcohol consumption, there was no post-MBI reduction or change compared to the non-intervention group, which could be explained by a reduced number of students with high-risk alcohol consumption (8.4%) or problematic alcohol consumption (.56%). However, the prevalence of alcohol consumption observed is higher than in other reports (6.1%; Killgore et al., 2021; Pitchot & Dor, 2019). It has been reported that individuals with higher levels of alcohol consumption tend to present a more gradual or less significant reductions after IMB, presenting less effectiveness in situations of high-risk alcohol consumption (Kamboj et al., 2017; Wielgosz et al., 2019). Furthermore, the Mindfulness effects in reducing alcohol consumption are higher in subjects who also showed a reduction in emotional triggers associated with alcohol consumption (Wielgosz et al., 2019; Shuai et al., 2020) in combination with other prevention programs, or implementation of more intensive MBIs, in terms of duration, which together favor a decrease of the severity and craving to consume, and same time increase abstinence (Huberty et al., 2019; Kamboj et al., 2017; Li, Howard, Garland, McGovern, & Lazar, 2017; Schuman-Olivier et al., 2020). All of the aforementioned may be associated with the lack of reduction in alcohol consumption observed in this study.

On the contrary, the MBIs that have shown less efficacy in the treatment of alcohol consumption have in common: high dropout rates from the program, lack of participation, commitment, and development of the activities during the sessions, and small sample sizes (Witkiewitz & Bowen, 2010) therefore, it is clear that the favorable effects of Mindfulness is positively correlated between the interest of the participants, the time of participation and monitoring of the activities (Sancho et al., 2018) strengths that were not observed in this study.

In addition, many variables (e.g., suicidal thoughts, college dropout, poor relationship with teachers and peers, poor social interaction, poor sleep quality, and home background) were found associated with high levels of psychopathologies and alcohol consumption. These variables could also be restricting the effectiveness of the online MBI. These results are on par with a study conducted in 78 countries during the COVID-19 pandemic, which reported a strong association between the onset of mental health problems and the severity of the restriction measures adopted during quarantine. Likewise, important indicators such as social support and interaction, educational level, and economic-financial status are also important (Gloster et al., 2020).

About the experience of online classes, it was observed a connection with the perception of poor learning, data that are consistent with other studies, where 53.8% of medical students mentioned that the COVID-19 pandemic affected their learning, 75.7% had poor online education, 59.1% presented fear of transmission of the SARS-CoV-2 virus, and 23.5% reported sadness and hopelessness (Coker et al., 2018; Freire et al., 2020).

The results obtained in this research support and contribute to previous reports, which point out that the main factors limiting the effectiveness of online MBI is: low adherence to the program, high dropout rate, loss of interest due to poor virtual interaction, lack of time for medical students, concerns about digital privacy, stigma about psychopathologies, and lack of emotional openness (Puig-Lagunes et al., 2020; Sancho et al., 2018; Schuman-Olivier et al., 2020).

It has also been described that poor motivation to practice meditation outside of sessions, little or complete lack of response to self-report forms or logs, inability to check and count total minutes of meditation, difficulty in scheduling daily sessions, and attendance at more than one session are limitations related to attrition and lack of adherence to MBI (Walsh, Saab, & Farb, 2019; Yang, Schamber, Meyer, & Gold, 2018).

Finally, we emphasize continuing with studies that contribute to the reduced prevalence of stress, anxiety, and depression symptomatology, as well as alcohol consumption in medical students. This unfavorable context exposes the importance of informing students about the consequences of such behaviors on their physical, social, and emotional condition, as well as their academic performance and learning. It also demonstrates the importance of making the medical-student community aware of the need to seek medical and psychological help. In addition, it shows a strong need for educational institutions to implement effective programs focused on mental health and alcohol consumption in students, which can effectively detect, and early treatment of the psychopathologies exposed in this study.

For all the above, we conclude that the online MBI was not effective among the population under study, which: was evidenced by the lack of reduction in the levels of stress symptomatology, anxiety, depression, and alcohol consumption, as well as an increased absence of mindfulness. Our findings suggest that the high prevalence of psychopathologies and alcohol consumption during the COVID-19 pandemic requires the most intensive interventions, with greater adherence and participation. Therefore, we recommend implementation of courses, or workshops, about the promotion of health and wellness, the generation of strategies in which medical students are involved and complete intervention programs, as well as awareness of the short and long-term biopsychosocial consequences inherent to psychopathologies and alcohol abuse.

Acknowledgements

To the University authorities and the students for their collaboration in carrying out this study.

REFERENCES

Arenas-Monreal, L., Hernández-Tezoquipa, I., Valdez-Santiago, R., & Bonilla-Fernández, P. (2004). Las instituciones de salud y el autocuidado de los médicos.Salud Pública de México,46(4), 326-332. doi: 10.1590/S0036-36342004000400007 [ Links ]

Alsoufi, A., Alsuyihili, A., Msherghi, A., Elhadi, A., Atiyah, H., Ashini, A., … Elhadi, M. (2020). Impact of the COVID-19 pandemic on medical education: Medical students’ knowledge, attitudes, and practices regarding electronic learning. PLoS One, 15(11), e0242905. doi: 10.1371/journal.pone.0242905 [ Links ]

Asociación Médica Mundial. (2013). Declaración de Helsinki. Principios éticos para la investigación en seres humanos. (64º Asamblea General). [ Links ]

Ayala, E. E., Omorodion, A. M., Nmecha, D., Winseman, J. S., & Mason, H. R. C. (2017). What Do Medical Students Do for Self-Care? A Student-Centered Approach to Well-Being. Teaching and Learning in Medicine, 29(3), 237-246. doi: 10.1080/10401334.2016.1271334 [ Links ]

Ball, S., & Bax, A. (2022). Self-care in Medical Education: effectiveness of health-habits interventions for first-year medical students. Academic Medicine, 77(9), 911-917. doi: 10.1097/00001888-200209000-00023 [ Links ]

Caldera-Villalobos, C., Garza-Veloz, I., Martínez-Avila, N., Delgado-Enciso, I., Ortiz-Castro, Y., Cabral-Pacheco, G. A., & Martinez-Fierro, M. L. (2020). The Coronavirus Disease (COVID-19) Challenge in Mexico: A Critical and Forced Reflection as Individuals and Society. Frontiers in Public Health, 8, 337. doi: 10.3389/fpubh.2020.00337 [ Links ]

Chmielewski, J., Łoś, K., & Łuczyński, W. (2021). Mindfulness in healthcare professionals and medical education. International Journal of Occupational Medicine and Environmental Health, 34(1), 1-14. doi: 10.13075/ijomeh.1896.01542 [ Links ]

Chodkiewicz, J., Talarowska, M., Miniszewska, J., Nawrocka, N., & Bilinski, P. (2020). Alcohol Consumption Reported during the COVID-19 Pandemic: The Initial Stage. International Journal of Environmental Research and Public Health, 17(13), 4677. doi: 10.3390/ijerph17134677 [ Links ]

Coker, A., Coker, O., & Sanni, D. (2018). Sociodemographic correlates and symptoms of depression, anxiety, and stress among a sample of nigerian medical students. Nigerian Journal of Basic and Clinical Science, 15(1), 58-62. doi: 10.4103/njbcs.njbcs_50_16 [ Links ]

Constantinou, C. S., Georgiou, M., & Perdikogianni, M. (2017). Medical Students’ Attitudes and Beliefs towards Psychotherapy: A Mixed Research Methods Study. Behavioral Sciences, 7(3), 55. doi: 10.3390/bs7030055 [ Links ]

Danilewitz, M., Koszycki, D., Maclean, H., Sanchez-Campos, M., Gonsalves, C., Archibald, D., & Bradwejn, J. (2018). Feasibility and effectiveness of an online mindfulness meditation program for medical students. Canadian Medical Education Journal, 9(4), e15-e25. [ Links ]

Farris, S. R., Grazzi, L., Holley, M., Dorsett, A., Xing, K., Pierce, C. R., & Wells, R. E. (2021). Online Mindfulness May Target Psychological Distress and Mental Health during COVID-19. Global Advances in Health and Medicine, 10, 216495612110024. doi: 10.1177/21649561211002461 [ Links ]

Freire, B. R., Castro, P. A. S. V. de, & Petroianu, A. (2020). Alcohol consumption by medical students. Revista da Associação Médica Brasileira, 66(7), 943-947. doi: 10.1590/1806-9282.66.7.943 [ Links ]

Givens, J. L., & Tjia, J. (2002). Depressed medical students’ use of mental health services and barriers to use. Academic Medicine, 77(9), 918-921. doi: 10.1097/00001888-200209000-00024 [ Links ]

Gloster, A. T., Lamnisos, D., Lubenko, J., Presti, G., Squatrito, V., Constantinou, M., … Karekla, M. (2020). Impact of COVID-19 pandemic on mental health: An international study. PLoS One, 15(12), e0244809. doi: 10.1371/journal.pone.0244809 [ Links ]

Godara, M., Silveira, S., Matthäus, H., Heim, C., Voelkle, M., Hecht, M., … Singer, T. (2021). Investigating differential effects of socio-emotional and mindfulness-based online interventions on mental health, resilience, and social capacities during the COVID-19 pandemic: The study protocol. PLoS One, 16(11), e0256323. doi: 10.1371/journal.pone.0256323 [ Links ]

Gold, J. A., Johnson, B., Leydon, G., Rohrbaugh, R. M., & Wilkins, K. M. (2015). Mental health self-care in medical students: a comprehensive look at help-seeking. Academic Psychiatry, 39(1), 37-46. doi: 10.1007/s40596-014-0202-z [ Links ]

Huberty, J., Green, J., Glissmann, C., Larkey, L., Puzia, M., & Lee, C. (2019). Efficacy of the Mindfulness Meditation Mobile App “Calm” to Reduce Stress Among College Students: Randomized Controlled Trial. JMIR mHealth and uHealth, 7(6), e14273. doi: 10.2196/14273 [ Links ]

Kamboj, S. K., Irez, D., Serfaty, S., Thomas, E., Das, R. K., & Freeman, T. P. (2017). Ultra-Brief Mindfulness Training Reduces Alcohol Consumption in At-Risk Drinkers: A Randomized Double-Blind Active-Controlled Experiment. International Journal of Neuropsychopharmacology, 20(11), 936-947. doi: 10.1093/ijnp/pyx064 [ Links ]

Killgore, W. D. S., Cloonan, S. A., Taylor, E. C., Lucas, D. A., & Dailey, N. S. (2021). Alcohol dependence during COVID-19 lockdowns. Psychiatry Research, 296, 113676. doi: 10.1016/j.psychres.2020.113676 [ Links ]

Lai, A. Y., Lee, L., Wang, M., Feng, Y., Lai, T. T., Ho, L., … Lam, T. (2020). Mental Health Impacts of the COVID-19 Pandemic on International University Students, Related Stressors, and Coping Strategies. Frontiers in Psychiatry, 11, 584240. doi: 10.3389/fpsyt.2020.584240 [ Links ]

Lasheras, I., Gracia-García, P., Lipnicki, D., Bueno-Notivol, J., López-Antón, R., de la Cámara, C., … Santabárbara, J. (2020). Prevalence of Anxiety in Medical Students during the COVID-19 Pandemic: A Rapid Systematic Review with Meta-Analysis. International Journal of Environmental Research and Public Health, 17(18), 6603. doi: 10.3390/ijerph17186603 [ Links ]

Ley General de Salud. (1984). Diario Oficial de la Federación. Última Reforma publicada en el Diario Oficial de la Federación el 16-02-2022. (Número 27). [ Links ]

Li, W., Howard, M. O., Garland, E. L., McGovern, P., & Lazar, M. (2017). Mindfulness treatment for substance misuse: A systematic review and meta-analysis. Journal of Substance Abuse Treatment, 75, 62-96. doi: 10.1016/j.jsat.2017.01.008 [ Links ]

Meo, S. A., Abukhalaf, A. A., Alomar, A. A., Sattar, K., & Klonoff, D. C. (2020). COVID-19 Pandemic: Impact of Quarantine on Medical Students’ Mental Wellbeing and Learning Behaviors. Pakistan Journal of Medical Sciences, 36(COVID19-S4), S43-S48. doi: 10.12669/pjms.36.covid19-s4.2809 [ Links ]

Morledge, T. J., Allexandre, D., Fox, E., Fu, A. Z., Higashi, M. K., Kruzikas, D. T., … Reese, P. R. (2013). Feasibility of an Online Mindfulness Program for Stress Management—A Randomized, Controlled Trial. Annals of Behavioral Medicine, 46(2), 137-148. doi: 10.1007/s12160-013-9490-x [ Links ]

Nasui, B. A., Popa, M., Buzoianu, A. D., Pop, A. L., Varlas, V. N., Armean, S. M., & Popescu, C. A. (2021). Alcohol Consumption and Behavioral Consequences in Romanian Medical University Students. International Journal of Environmental Research and Public Health, 18(14), 7531. doi: 10.3390/ijerph18147531 [ Links ]

O’Byrne, L., Gavin, B., & McNicholas, F. (2020). Medical students and COVID-19: the need for pandemic preparedness. Journal of Medical Ethics, 46(9), 623-626. doi: 10.1136/medethics-2020-106353 [ Links ]

Picton, A. (2021). Work-life balance in medical students: self-care in a culture of self-sacrifice. BMC Medical Education, 21(1), 8. doi: 10.1186/s12909-020-02434-5 [ Links ]

Pitchot, W., & Dor, B. (2019). Complications psychiatriques liées à l’alcoolisme. [Psychiatric complications associated with alcoholism]. Revue Médicale de Liège, 74(5-6), 300-303. [ Links ]

Puig-Lagunes, Á. A., Vargas-Álvarez, J. E., Salinas-Méndez, L. E., Ricaño-Santos, K. A., & Puig-Nolasco, Á. (2020). Prevalencia de depresión, ansiedad y estrés académico entre estudiantes de medicina, durante distintos periodos de estrés. Atención Familiar, 27(4), 165-171. doi: 10.22201/fm.14058871p.2020.4.76891 [ Links ]

Ramón-Arbués, E., Gea-Caballero, V., Granada-López, J. M., Juárez-Vela, R., Pellicer-García, B., & Antón-Solanas, I. (2020). The Prevalence of Depression, Anxiety and Stress and Their Associated Factors in College Students. International Journal of Environmental Research and Public Health, 17(19), 7001. doi: 10.3390/ijerph17197001 [ Links ]

Rodriguez, M. L., Corse, A. K., & Rosen, L.D. (2017). Mental Health Services Use Among Medical Students: Perceived Stigma and Barriers to Care. Medical Science Educator, 27(2), 267-272. doi: 10.1007/s40670-017-0392-6 [ Links ]

Román, F., Santibáñez, P., & Vinet, E. V. (2016). Uso de las Escalas de Depresión Ansiedad Estrés (DASS-21) como Instrumento de Tamizaje en Jóvenes con Problemas Clínicos. Acta de Investigación Psicológica, 6(1), 2325-2336. doi: 10.1016/s2007-4719(16)30053-9 [ Links ]

Sanchez, T., Peña, E., & Ng, B. (2020). Mental health in the age of COVID-19, a Mexican experience. Indian Journal of Psychiatry, 62(Suppl 3), S377-S379. doi: 10.4103/psychiatry.indianjpsychiatry_1048_20 [ Links ]

Sancho, M., De Gracia, M., Rodríguez, R. C., Mallorquí-Bagué, N., Sánchez-González, J., Trujols, J., … Menchón, J. M. (2018). Mindfulness-Based Interventions for the Treatment of Substance and Behavioral Addictions: A Systematic Review. Frontiers in Psychiatry, 9, 95. doi: 10.3389/fpsyt.2018.00095 [ Links ]

Schuman-Olivier, Z., Trombka, M., Lovas, D. A., Brewer, J. A., Vago, D. R., Gawande, R., … Fulwiler, C. (2020). Mindfulness and Behavior Change. Harvard Review of Psychiatry, 28(6), 371-394. doi: 10.1097/hrp.0000000000000277 [ Links ]

Sekhar, P., Tee, Q. X., Ashraf, G., Trinh, D., Shachar, J., Jiang, A., … Turner, T. (2021). Mindfulness-based psychological interventions for improving mental well-being in medical students and junior doctors. Cochrane Database of Systematic Reviews, 12(12), CD013740. doi: 10.1002/14651858.cd013740.pub2 [ Links ]

Shuai, R., Bakou, A. E., Hardy, L., & Hogarth, L. (2020). Ultra-brief breath counting (mindfulness) training promotes recovery from stress-induced alcohol-seeking in student drinkers. Addictive Behaviors, 102, 106141. doi: 10.1016/j.addbeh.2019.106141 [ Links ]

Soares, F. R. R., Farias, B. R. F. de, & Monteiro, A. R. M. (2019). Consumption of alcohol and drugs and school absenteeism among high school students of public schools. Revista Brasileira de Enfermagem, 72(6), 1692-1698. doi: 10.1590/0034-7167-2018-0828 [ Links ]

Testino, G. (2020). Are Patients With Alcohol Use Disorders at Increased Risk for Covid-19 Infection? Alcohol and Alcoholism, 55(4), 344-346. doi: 10.1093/alcalc/agaa037 [ Links ]

Thistlethwaite, J., Quirk, F., & Evans, R. (2010). Medical students seeking medical help: A qualitative study. Medical Teacher, 32(2), 164-166. doi: 10.3109/01421590903434177 [ Links ]

Walsh, K. M., Saab, B. J., & Farb, N. A. (2019). Effects of a Mindfulness Meditation App on Subjective Well-Being: Active Randomized Controlled Trial and Experience Sampling Study. JMIR Mental Health, 6(1), e10844. doi: 10.2196/10844 [ Links ]

Wielgosz, J., Goldberg, S. B., Kral, T. R. A., Dunne, J. D., & Davidson, R. J. (2019). Mindfulness Meditation and Psychopathology. Annual Review of Clinical Psychology, 15(1): 285-316. doi: 10.1146/annurev-clinpsy-021815-093423 [ Links ]

Witkiewitz, K., & Bowen, S. (2010). Depression, craving, and substance use following a randomized trial of mindfulness-based relapse prevention. Journal of Consulting and Clinical Psychology, 78(3), 362-374. doi: 10.1037/a0019172 [ Links ]

Witkiewitz, K., Litten, R. Z., & Leggio, L. (2019). Advances in the science and treatment of alcohol use disorder. Science Advances, 5(9), eaax4043. doi: 10.1126/sciadv.aax4043 [ Links ]

Yang, E., Schamber, E., Meyer, R. M. L., & Gold, J. I. (2018). Happier Healers: Randomized Controlled Trial of Mobile Mindfulness for Stress Management. The Journal of Alternative and Complementary Medicine, 24(5), 505-513. doi: 10.1089/acm.2015.0301 [ Links ]

Zanon, C., Brenner, R. E., Baptista, M. N., Vogel, D. L., Rubin, M., Al-Darmaki, F. R., … Zlati, A. (2021). Examining the Dimensionality, Reliability, and Invariance of the Depression, Anxiety, and Stress Scale–21 (DASS-21) Across Eight Countries. Assessment, 28(6), 1531-1544. doi: 10.1177/1073191119887449 [ Links ]

Zenner, C., Herrnleben-Kurz, S., & Walach, H. (2014). Mindfulness-based interventions in schools-A systematic review and meta-analysis. Frontiers in Psychology, 5, 603 doi: 10.3389/fpsyg.2014.00603 [ Links ]

Financing This research was partially funded by Sistema Nacional de Investigadores: Exp. 84949 (LJG-P), 77820 (AAP-L).

Author contributions All authors contributed to the study conception, design, material preparation, data collection and analysis, as well as in the first draft of the manuscript. Similarly, all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

Citation: German-Ponciano, L. J., Zapata-de la Rosa, M. F., Molina-Cadena, B. I., Velasco-Gómez, Y. S., & Puig-Lagunes, Á. A. (2023). Effectiveness evaluation of online Mindfulness in mental health and alcohol consumption in medical students during the COVID-19 pandemic. Salud Mental, 46(2), 45-54.

Supplementary Table

Associations between the psychopathologies symptoms, alcohol consumption, sociodemographic variables, and habits and lifestyles of medical students during the pandemic 

  AUDIT Stress Anxiety Depression MASS
Age X2 = 8.047,
p = .018
 
Semester X2 = 10.475,
p = .033
 
Situation X2 = 10.768,
p = .005
 
Career drop-out X2 = 4.231,
p = .040
X2 = 22.306,
p < .001
X2 = 11.162,
p = .025
X2 = 21.384,
p < .001
 
Family conformation   X2 = 43.497,
p = .009
 
Online classes experience   X2 = 18.735,
p = .001
Online learning   X2 = 23.662,
p = .003
X2 = 16.371,
p = .037
X2 = 26.636,
p = .001
 
Online academic performance   X2 =18.442,
p = .018
  X2 = 27.877,
p < .001
 
Current home situation   X2 = 26.141,
p = .010
  X2 = 25.914,
p = .011
 
Social interaction X2 = 4.023,
p = .045
 
Physical activity   X2 = 27.254,
p = .007
 
Quality of sleep   X2 = 34.385,
p = .005
X2 = 34.450,
p = .005
X2 = 26.769,
p = .044
 
Has considered suicide X2 = 6.825,
p = .033
X2 = 12.495,
p = .014
X2 = 15.252,
p = .004
X2 = 23.955,
p < .001
 
Attended to sessions   X2 = 9.92,
p = .042
X2 = 13.117,
p = .011
  X2 = 26.81,
p = .044

Received: June 27, 2022; Accepted: October 11, 2022

Correspondence: Ángel Alberto Puig-Lagunes Facultad de Medicina, Campus Minatitlán, Universidad Veracruzana. Managua s/n, Nueva Mina, 96760 Minatitlán, Ver., México. Phone: +52 (922) 225 0702 Email: anpuig@uv.mx

Conflict of interest The authors declare they have no conflicts of interest.

Creative Commons License This is an open-access article distributed under the terms of the Creative Commons Attribution License