Skip to main content

ORIGINAL RESEARCH article

Front. Psychiatry, 29 January 2024
Sec. Adolescent and Young Adult Psychiatry
This article is part of the Research Topic Psychological Intervention for Suicidal Ideation, Behavior, and Attempted Suicide View all 10 articles

Association between love breakup and suicidal ideation in Peruvian medical students: a cross-sectional study during the COVID-19 pandemic

Danai Valladares-Garrido,Danai Valladares-Garrido1,2J. Pierre Zila-Velasque,J. Pierre Zila-Velasque3,4Flor M. Santander-Hernndez,Flor M. Santander-Hernández5,6Miguel A. Guevara-Morales,Miguel A. Guevara-Morales5,6Noelia Morocho-AlburquequeNoelia Morocho-Alburqueque7Virgilio E. Failoc-RojasVirgilio E. Failoc-Rojas8Csar Johan Pereira-Victorio
César Johan Pereira-Victorio9*Víctor J. Vera-Ponce,Víctor J. Vera-Ponce10,11Darwin A. Len-FigueroaDarwin A. León-Figueroa12Mario J. Valladares-Garrido,,Mario J. Valladares-Garrido12,13,14
  • 1Escuela de Medicina, Universidad Cesar Vallejo, Trujillo, Peru
  • 2Oficina de Salud Ocupacional, Hospital Santa Rosa, Piura, Peru
  • 3Facultad de Medicina, Universidad Nacional Daniel Alcides Carrion, Pasco, Peru
  • 4Red Latinoamericana de Medicina en la Altitud e Investigación (REDLAMAI), Pasco, Peru
  • 5Escuela de Medicina, Universidad Cesar Vallejo, Piura, Peru
  • 6Sociedad Científica de Estudiantes de Medicina, Universidad Cesar Vallejo, Piura, Peru
  • 7Escuela de Medicina Humana, Facultad de Ciencias de la Salud, Universidad Nacional de Piura, Piura, Peru
  • 8Unidad de Investigación para la Generación y Síntesis de Evidencias en Salud, Universidad San Ignacio de Loyola, Lima, Peru
  • 9Escuela de Medicina, Universidad Continental, Lima, Peru
  • 10Instituto de Investigación en Ciencias Biomédicas, Universidad Ricardo Palma, Lima, Peru
  • 11Universidad Tecnológica del Perú, Lima, Peru
  • 12Facultad de Medicina Humana, Universidad de San Martín de Porres, Chiclayo, Peru
  • 13South American Center for Education and Research in Public Health, Universidad Norbert Wiener, Lima, Peru
  • 14Oficina de Epidemiología, Hospital Regional Lambayeque, Chiclayo, Peru

Objective: We aimed to determine the association between a major romantic breakup and suicidal ideation in medical students from three universities in Peru.

Methods: A cross-sectional study was conducted during the first pandemic wave in 2021 on medical students from three universities in northern Peru. The outcome was suicidal ideation, measured with question nine of the Patient Health Questionnaire-9 (PHQ-9). Generalized Anxiety Disorder Scale-7 (GAD-7) and Insomnia Severity Index (ISI) were also used to assess mental health symptoms. The exposure was the experience of a major love breakup during the pandemic. In addition, its association with other covariates (age, sex, family members infected with COVID-19, deceased family members with COVID-19, insomnia, and anxiety, among others) was examined.

Results and discussions: Out of 370 students, 19.5% reported a major love breakup during the pandemic (95%CI: 15.5–23.8), and 34.3% had suicidal ideation (95%CI: 29.4–39.4). Having a major love breakup was associated with a higher prevalence of suicidal ideation (PR: 1.49, 95%CI: 1.32–1.67, p < 0.001). Moderate insomnia (PR: 2.56, 95%CI: 1.70–3.87, p < 0.001) and anxiety symptoms (PR: 1.94, 1.10–3.44, p = 0.023) were also associated with suicidal ideation.

Conclusion: Our study provides evidence of a significant association between a major love breakup and suicidal ideation. This finding emphasizes the need for further research to better understand this association and inform the development of effective suicide prevention policies in medical education.

1 Introduction

Worldwide, suicide is responsible for more than 700,000 deaths annually and is the fourth leading cause of death in young people aged 15–29 years, with a higher percentage of deaths in low- and middle-income countries (1). Suicidal ideation (SI) is considered the most important risk factor for suicide (1, 2), a public health problem that has recently begun to be studied in Latin America (3).

Medical students have a prevalence of SI from 13.7 to 33.3% (46). Due to the COVID-19 pandemic, not only was physical health affected (79), but mental health has also deteriorated significantly in various populations (1015). Similarly, in the context of the COVID-19 pandemic, SI increased from 13.4 to 16.9%, according to a study of Mexican students (16), a result similar to a French study (17). In Peru, 17.9% of medical students had SI during the COVID-19 pandemic, which was found to be associated with a higher frequency of depression and anxiety (18). During the year 2010, it was estimated that 19.9% of 2,521 adolescent students had suicidal ideation, according to the Global School-based Student Health Survey (19). In 11,609 Peruvian adolescents, a combined prevalence of suicidal ideation of 8.5% was found after analyzing data from the Demographic and Family Health Surveys from 2013 to 2019 (20). Additionally, the development of this disease is influenced by several potential protective factors: the search for psychological help or support in their family (21), no mental health disorders and/or use of illegal substances (22), and to have stability in their love relationship (23, 24). Conversely, having depression, poor social support, less frequent conversations, and ending a stable romantic relationship all behave as aggravating risk factors for the development of SI (5, 2527). It is known that the gender role influences the presentation of mental health disorders, evidencing very noticeable changes due to the performance of roles and the reduction of opportunities with paid jobs in women in whom affective disorders are more frequent and are increased by the presence of “macho” thinking” (28, 29), the presence of factors such as harassment and illegitimate tasks that condition the development of mental health disorders (30). Here we highlight a variable that has been focused on in groups other than medical students (5, 2224, 31), as is the termination or breakup of a love relationship. Relationships are one of the most important social interactions for human beings, and their termination can cause physical and mental problems, such as suicidal thoughts and behaviors (32, 33). The impact of rupture is even greater in young people such as medical students (34). The breakdown of romantic relationships has increased during the pandemic due to government-imposed restrictions such as social distancing that led to staying at home (30) and actions not unrelated to Peru (35, 36). Results have been found in a higher proportion of women and health professionals (37) and even more so in the university population that has undergone curricular changes that have led to the development of mental health and stress disorders (38).

The necessity of this study stems from the urgent need to comprehensively understand the mental health challenges faced by medical students during the COVID-19 pandemic, with a specific focus on the potential impact of romantic relationship breakups. The increased incidence of romantic breakups during the pandemic, attributed to factors like social distancing and curricular changes, underscores the necessity of examining its impact on mental health (39). This is especially pertinent for medical students who navigate a unique intersection of academic and personal challenges. Given the alarming increase in suicidal ideation (SI) during the pandemic, especially among medical students (18), there is a crucial gap in our understanding of the unique factors contributing to this vulnerability. While existing studies have explored the prevalence of SI and its association with different variables (40), there is a dearth of conclusive evidence regarding the psychological ramifications of romantic breakups in medical students.

However, there is no conclusive evidence in medical students that the psychological impact of a breakup is compounded by the physical and mental exhaustion produced by the academic load (31, 38), which would lead to an increased presence of SI (1). In addition, the studies that evaluated these variables had confounding and information biases because they did not include variables that have been shown to be associated with the outcome, such as mental health disorders, and because they were measured with instruments that have not been validated in the context of the study population (24, 41, 42). Finally, the studies were conducted on smaller samples (16, 24, 43).

Therefore, in the present study, we evaluated whether love breakup influences the presence of SI, together with other variables of interest such as insomnia, a history of having a family member who died from COVID-19 and obesity, variables not included in previous studies, and that could potentially act as confounders (5, 18).

2 Methods

2.1 Study sample and setting

We conducted an analytical cross-sectional study based on a secondary analysis of a study assessing the association between Smartphone overuse and mental health disorders (44). This study was carried out among medical students in Piura between July and October 2020, a time when Peru was experiencing the first COVID-19 wave and with the restrictive measures imposed by the government to limit the increase in the number of infections. The present study aimed to evaluate whether a love breakup is associated with suicidal ideation in medical students.

The population consisted of medical students over 18 years of age who completed and accepted the informed consent form and responded to the survey. From Universidad Privada Antenor Orrego, Universidad Nacional de Piura and Universidad Cesar Vallejo. Prior to data collection, authorization was requested from the three participating universities. Subsequently, the research was conducted from July to October 2020, in the context of the first COVID-19 pandemic wave, when university higher education was providing virtual teaching in Peru. The form was designed and reviewed in Google Forms, then disseminated to the official social network groups of each year of study of the participating medical schools. The questionnaire was shared at times when the students were not in evaluations, and the approximate duration was 10 min. The questionnaire consisted of (1) informed consent, (2) socio-educational data, and (3) mental health data (PHQ-9, GAD-7), including insomnia (ISI). Finally, the data were exported from Google Forms to a database in Microsoft Excel, which underwent strict quality control prior to statistical analysis.

2.2 Study sample

The inclusion criteria for the primary study included students who had a cell phone with permanent access to the internet for their activities. The exclusion criteria for the primary study included self-reporting of a diagnosis of a mental health disorder (anxiety and depression). For the primary study (44), the sample consisted of 370 participants, representing a participation rate of 16.6% from the total population of 2,228 medical students across the three universities. This distribution included n1 = 151, n2 = 121, and n3 = 98 students from each respective university. The study selected participants by convenience sampling.

For this secondary analysis, the statistical power was estimated, yielding a value of 97.37%. This calculation was based on the proportion of suicidal ideation in the group without love breakup (p1 = 0.295) and the corresponding proportion in the group with love breakup (p2 = 0.541). Additionally, the respective sample sizes were considered, with n1 = 298 for the group without love breakup and n2 = 72 for the group with love breakup.

2.3 Instruments

Patient Health Questionnaire-9 (PHQ-9): An instrument that was validated in Peru, consisting of nine items with questions related to the presence of depressive symptoms in the last 2 weeks, evaluated on a Likert-type scale (45). The instrument has presented sensitivity and specificity values of 88 and 92%, respectively (46). In this research, the last item of the PHQ-9 was used to measure suicidal ideation (“how often have you been bothered during the past 2 weeks by thoughts that you would be better off dead or thoughts of hurting yourself in some way?”) (45). This instrument has been adapted for Peruvian university students with a Cronbach’s alpha consistency of 0.87 (47).

Generalized Anxiety Disorder Scale-7 (GAD-7): An instrument that evaluates the presence of anxiety symptoms. The instrument consists of seven items with scores ranging from zero (not at all) and three (almost every day), the total score ranges from zero to 21. The cut-off points used for the study were 0 to 4 as having no anxiety and 5 points or more as having anxiety. (48). The instrument has shown sensitivity and specificity values of 89 and 82%, respectively (48), in addition to a Cronbach’s alpha consistency of 0.89 in Peruvian students (49). This instrument has been adapted for Peruvian university students (50).

Insomnia Severity Index (ISI): An instrument that assesses the presence of insomnia symptoms by means of an instrument that evaluates seven items, an instrument that has been validated in Spanish (51). It is composed of 7 items that assess the nature, severity, and impact of insomnia, with a total score of 28 points. The cut-off points used for insomnia were 0 to 7 as the absence of pathology, 8 to 14 as mild insomnia, 15 to 21 as moderate to severe insomnia and 22 to 28 as severe insomnia. The sensitivity and specificity was 86.1 and 87.7%, respectively (52), in addition to a Cronbach’s alpha consistency of 0.84 (53). This instrument has been adapted for the Latin American population, showing high psychometric properties (54).

Sociodemographic and educational data: age in years, sex, single marital status (no, yes), obesity (no, yes; based on body mass index calculation using self-reported weight and height), self-report of having had a family member infected (no, yes) and deceased by COVID-19 (no, yes), and self-report of having suffered a serious economic problem in the last 3 months (no, yes). It is important to mention that these variables were chosen based on the literature review and the context in which the study was conducted.

2.4 Primary outcome

The dependent variable was suicidal ideation, defined as a student’s response to question 9 of PHQ-9. The question assesses whether respondents had thoughts that they would prefer to be dead or to harm themselves in some way. The initial responses were no days, several days, more than half of the days, and almost every day. For the analysis of this research, it was dichotomized into no and yes (several days-almost every day).

2.5 Secondary outcomes

The primary independent variable was major love breakup, defined as a student’s self-report of having suffered a major relationship breakup during the COVID-19 pandemic (no, yes).

Secondary independent variables were age in years, sex (female, male), single (no, yes), having obesity (no, yes), report of having had a close relative with COVID-19 (no, yes), report of having had a deceased relative with COVID-19 (no, yes), report of having suffered a serious financial problem in the past 3 months (no, yes), insomnia (no, below the threshold, moderate, severe), and anxious symptoms (no, yes).

2.6 Statistical analysis

The statistical analysis was performed in Stata 16.1.

For descriptive analysis, we showed absolute and relative frequencies for categorical variables. For numerical variables, we evaluated the assumption of normal distribution and then reported the best measure of central tendency and dispersion.

For the bivariate analysis, the association of interest (love breakup vs. suicidal ideation) was evaluated, as well as the rest of the categorical covariates, through the chi-square test of independence. In the case of numerical variables, the Mann–Whitney U test was useful after evaluating the assumption of normal distribution. The significance level was 5%.

For the simple and multiple regression analysis, we used generalized linear models with Poisson distribution, robust variance, and universities as groups or clusters. This allowed us to estimate prevalence ratios (PR) and 95% confidence intervals (95%CI) for the association of interest and the rest of the exposure variables. In the multiple regression analysis, confounding variables served as a model adjustment to assess the association between love breakup and suicidal ideation. Collinearity between the variables of interest was assessed with the variance inflation factor, giving an overall estimate of 2.17.

2.7 Ethical aspects

The primary study was approved by the Ethics Committee of the Norbert Wiener University, Lima, Peru. Code: 1516–2022. The questionnaires were anonymous, and informed consent was obtained from all participants prior to their participation in the research, in accordance with the ethical procedures established by the Ethics Committee of Norbert Wiener University (Lima, Peru). The instruments were administered after an explanation of the benefits and risks of participating in the study, after which the responses were coded, a situation that allowed us to ensure the anonymity of the participants. The ethical principles of the Declaration of Helsinki were maintained.

3 Results

3.1 Characteristics of the participants

Of the 370 students analyzed, 61.9% were male, and the median age was 20 years (1923); 7.6% were obese, 20.5% had moderate insomnia, and 68.9% had anxious symptoms; 19.5% reported having had a major love breakup during the pandemic (95%CI: 15.55–23.87); 34.3% of the students presented suicidal ideation (95%CI: 29.49–39.41; Table 1).

Table 1
www.frontiersin.org

Table 1. Characteristics of participants (n = 370).

3.2 Love breakup and other factors associated with suicidal ideation in bivariate analysis

Students who reported having a major love breakup during the pandemic had a 24.7% higher frequency of suicidal ideation compared to students who did not have a love problem (54.2% vs. 29.5%; p < 0.001). Having anxious symptoms increased the frequency of suicidal ideation in students by 35.9% compared to those without anxiety (45.5% vs. 9.6; p < 0.001). Students with severe insomnia had a 53.2% higher frequency of suicidal ideation compared to those without sleep problems (66.7% vs. 13.5%; p = 0.001). Additionally, age (p = 0.003), obesity (p < 0.001), having a family member with COVID-19 (p = 0.008), having had a deceased family member with COVID-19 (p = 0.020) were significantly associated with having suicidal ideation in the evaluated students (Table 2).

Table 2
www.frontiersin.org

Table 2. Love breakup and other factors associated with suicidal ideation, bivariate analysis.

3.3 Love breakup and other factors associated with suicidal ideation in simple and multiple regression analyses

Table 3 shows the simple and multiple regression analyses. The simple regression model showed that students with strong love breakups during the pandemic had an 83% higher prevalence of suicidal ideation (PR: 1.83; 95%CI: 1.60–2.10). This was maintained in the multiple regression model in terms of direction and magnitude: having a major romantic breakup increased the prevalence of suicidal ideation by 49% (PR: 1.49; 95%CI: 1.32–1.67).

Table 3
www.frontiersin.org

Table 3. Love breakup and other factors associated with suicidal ideation, regression analysis.

Having moderate insomnia increased 156% the prevalence of suicidal ideation (PR: 2.56; 95%CI: 1.70–3.87). Students with anxious symptoms had a 94% higher prevalence of suicidal ideation (PR: 1.10–3.44). Additionally, for each additional year of age, students had a 3% higher prevalence of suicidal ideation (PR: 1.03; 95%CI: 1.01–1.05). Female students had an 11% lower prevalence of suicidal ideation (PR: 0.89; 95%CI: 0.80–0.99; Table 3).

4 Discussion

4.1 Prevalence of suicidal ideation in medical students

We found that the prevalence of SI was 34.3% differing notably from pre-pandemic studies. In Ecuador, among medical and psychology students, severe SI was reported at 4.5%, moderate at 19.1%, and mild at 76.4%. It should be noted that the different results could be due to the use of a different instrument, such as the ISO-30 (Inventory of Suicide Orientations) (55). Similarly, Colombian medical students showed a 17.7% SI prevalence (56), while in Mexico, it was 8.7% among undergraduate and graduate students (3). In Peru, applying the MINI (Mini-International Neuropsychiatric Interview) test revealed a 11.2% SI prevalence among medical students (57), and other studies across various disciplines reported SI rates ranging from 8.9 to 35.2%, using self-developed instruments (58, 59). These results are supported by a meta-analysis that has shown that in Latin America, the prevalence of SI is 13.8%, lower than in Europe and the United States (3). Similarly, our result differs from those reported by medical students in other countries, such as Italy (4), Iran (60), and Ethiopia (5) (13.7, 17.0, and 23.7%, respectively). It should be noted that these studies were conducted in the pre-pandemic period. Moreover, the pandemic itself may have played a significant role in exacerbating mental health challenges, including SI. The unique stressors brought about by the COVID-19 crisis, such as social isolation, uncertainties about the future, and disruptions in daily life, could contribute to higher SI rates among our study population compared to pre-pandemic periods.

In the context of COVID-19, our results differ from a US study reporting 12.7% SI in undergraduates during the second wave (61) and from a study in Mexican medical students reporting 18.6% SI in the first wave (16). Likewise, it is higher than that found in medical students in Peru during the first pandemic wave, where a prevalence of 17.9% of SI was estimated (18). The disparate results could be due to the different moments of the application of the instrument since our study was at the beginning of the pandemic during the first wave, when the uncertainty and consequences in the near future caused fear and anxiety in the population, while the other study was conducted at the end of the second wave (61). At this point, we also highlight that no other Latin American study has been found in the pandemic context on the evaluation of SI, so our study adds data to the current literature.

In Peru, data from the National Institute of Mental Health indicate a 43.2% increase in monthly SI consultations during the pandemic (62). This supports the results found in our study, which could be explained by the fact that medical students were exposed to more stressors. In addition, it was conducted in a different geographical area and with a different instrument than those used in the aforementioned studies, such as the Beck Depression Instrument (BDI-II) (4), and the Depression, Anxiety and Stress Scale (DASS) (5).

4.2 Frequency of severe love breakup in medical students

The present study found that 19.5% of the students reported having had a major romantic breakup in the last 3 months, lower than that reported by studies conducted in the pre-pandemic context by Espinosa et al. with a frequency of 46.9% of breakups in university students of various degrees of the FESI, UNAM in Mexico, possibly due to cultural differences, stress, anxiety, and lack of management of interpersonal problems. Similarly, it has been reported that 59.6% of university students in careers other than human medicine reported a romantic breakup (63).

This difference could be explained by the fact that 66.5% of these students belonged to the psychology career, while the medical students came expressing stress, anxiety, and SI without mentioning any love breakup. Our result is different because it was carried out in the context of the pandemic; however, we did not find other studies that evaluate this variable in the context of the pandemic. The fact that at least two out of 10 students presented a strong romantic breakup during the pandemic could be explained because social distancing measures such as staying at home were established, a situation that led to the development of stress that was greater because confinement predisposes the couple to stay alone and that their problems are highlighted and cannot be solved due to the lack of social and work interactions (64).

4.3 Association between having had a major breakup and suicidal ideation

Students who reported having had a major love breakup had a 38% higher prevalence of SI during the pandemic. This is similar to the findings of Tan et al. (25) in Malaysian medical students, one of the significant predictors of SI was breaking up a stable romantic relationship (OR: 5.4). Furthermore, it is consistent with another study in which the prevalence of suicide was higher (17.0%) in Iranian medical students who were separated or divorced (60). On the other hand, Barajas Marquez (65) reported that university students who had had a recent love breakup presented a higher level of depression. This is consistent with what was reported prior to COVID-19 by Espinoza-Sierra et al., who stated that the main cause of university students visiting the crisis, emergency, and suicide care center (CREAS) is the breakup of a couple, followed by bereavement and relationship problems. While for McLaughlin and Gunnell (66), who collected information on deaths of university students in the United Kingdom between 2010 and 2018, it is worth noting that the study was conducted in a pre-pandemic context, the most influential factors in suicidal behavior were love breakups, failing subjects, economics and recent bereavement. This is also evidenced in a systematic review that reported that separation or love breakup represents the most important risk factor for the development of SI in young people aged 15–29 years (32). The association found differs from that reported by Kazan (32) in Australia during the pre-pandemic context, where it was reported that women especially experienced relief and benefited from ending an abusive or negative relationship. The latter study, however, was conducted in the general adult population and not in medical students like the present study (32) and explored the quality of the relationship rather than the specific event of a breakup. It is worth noting that we did not find other studies evaluating this association, particularly during the context of the COVID-19 pandemic.

This association may be intricately linked to the profound impact of partner-related challenges, which can serve as potent triggers for SI. The heightened vulnerability observed could be attributed to a cascade of factors, most notably the diminished resilience that has become increasingly evident in the context of the pandemic (67, 68). The emotional toll of love breakups, exacerbated by the isolation and uncertainties imposed by the pandemic, may contribute to a diminished capacity for emotional control. The lack of psychological support from institutions and, crucially, the corresponding family support further exacerbates the emotional distress experienced by individuals navigating through the aftermath of a significant romantic relationship dissolution (67, 68). Understanding the psychological mechanisms underlying this association necessitates delving into the intricate dynamics of coping strategies and emotional regulation. The pandemic has undoubtedly magnified the importance of resilience in the face of adversities, and the breakdown of a romantic relationship may act as a pivotal stressor, pushing individuals toward heightened SI. The absence of robust support systems, both from institutions and family, may leave individuals grappling with emotional distress without adequate avenues for coping and recovery (67, 68).

4.4 Other factors associated with suicidal ideation

Having insomnia was associated with an 85% higher prevalence of SI. This result is similar to that described before the pandemic by Liu et al. (69) in Chinese university students who presented 5 times the risk of suffering SI (OR: 4.98). This is consistent with that described by Khader et al. (70), who reported that university students with insomnia presented four times more SI in the pre-pandemic context. This is consistent with that described by King et al. (71), who conducted a study at a Canadian university and found a positive association between insomnia and suicidal ideation. Moreover, it is consistent with the findings of Akram et al. (72), who conducted a study in the pre-pandemic context and found a positive correlation between insomnia and suicidal ideation in American college students. This association is explained by different postulated mechanisms, such as the decrease or alteration of serotonin 5-HT receptors (an amino acid involved in the maintenance of sleep) in subjects with suicidal tendencies (73), nightmares (74) and the alteration of the hypothalamic–pituitary axis (75). However, its association remains under constant investigation, although bidirectionality has also been found because people with SI also have the subsequent development of insomnia between this association and insomnia (76).

The study found a 3% increase in the prevalence of SI for each additional year of age, aligning with Schwenk’s pre-pandemic research on US medical students. Schwenk reported a higher SI frequency in third and fourth-year students (7.9%) compared to first and second-year students (1.4%) (77). In contrast, Khader’s pre-pandemic study in Pakistani university students across different disciplines did not identify a significant positive association between the completed university year and SI (70). This observed age-SI association in our study may be influenced by the academic load, organizational challenges, and exposure to death and suffering perceptions during clinical practice.

Female students had an 11% lower SI prevalence, contrary to studies by Osama et al. (78) and Schwenk et al. (77), which linked higher SI rates in women to elevated depression levels (18.0%). This discrepancy may stem from societal expectations on women, placing a significant social burden on them to provide stability at home. This pressure is accentuated in regions with high machismo percentages, leading to increased insecurity, limited expression of opinions, and reduced capacity to fulfill responsibilities. The United Nations reports global intimate partner violence in women aged 15 to 49, ranging from 33.0 to 51% (79), further compounding emotional image-related challenges in women (80).

Having anxiety increased the probability of SI by nine times. This is similar to that reported by Xu et al. (81), who found that Chinese medical students in the first pandemic wave presented who had anxiety symptoms were more likely to have SI (OR = 1.66). In Peru, Crisol-Deza et al. (18) reported that SI was associated with a higher probability of anxiety in medical students during the first wave of the pandemic (OR: 2.01). This is consistent with that described by Asfaw et al. (5) in Ethiopian students in the pre-pandemic context, where anxiety and depression were associated with an increased likelihood of SI. We have not found a study that identifies depression as an attenuating factor for the development of SI. This association could be due to the characteristics of a university student, loneliness, social shelter, and economic limitations that increased during the context of the pandemic, as mentioned above, due to government restrictions to limit the increase in infections.

4.5 Limitations and strengths

Our study has important limitations. First, the cross-sectional study design does not allow us to establish causality between variables. Second, selection bias, since a convenience sample was taken, it is not possible to infer the results for the entire population of interest. Third, being a secondary data analysis study, there is an unmeasured confounding effect since potential confounders such as the level of resilience of the students and the level of family communication, which behave as predisposing factors to various mental health disorders, have not been investigated (82, 83).

However, the study presents strengths. First, to our knowledge, it is the first study to evaluate this association of variables conducted during the COVID-19 pandemic, particularly during the first wave, the most critical time in Peru (8488). Second, it was possible to capture a broad and varied sample (years of study) of students, and it is reinforced by the stratified choice of the sample by the university, which will serve as an aid to the strategies of the corresponding institutions. Third, several validated and widely used instruments were used in the scientific field, in addition to using a timely methodology considering the mediation of intervening variables.

4.6 Relevance of findings in mental health

This study adds to the current literature an underexplored finding, which proposes a precedent for future research in mental health. The students surveyed show a significant prevalence of romantic breakups that might trigger suicidal ideation and suicide in the worst-case scenario. Our results could be the basis for driving possible implications at the public health level by promoting services that eliminate the detrimental aspects of love breakup through counseling and psychology sessions for the couple in university welfare centers. We believe that social and educational programs should be promoted that encourage critical reflection on SI with the aim of reversing its factors, among them the growing love breakup. We recommend that through the tutoring areas of each university, periodic evaluations should be carried out for early detection and management of suicidal behavior to develop coping strategies and solve these problems.

5 Conclusion

Three and two out of 10 medical students experienced SI and a major love breakup, respectively. Our main result suggests that experiencing a major love breakup might predispose to the development of SI. As secondary results, insomnia, anxiety, and being older in the university stage were associated with SI. We recommend the development of further research that clarifies the association between major love breakups and SI and that medical schools provide periodic evaluations of mental health for the timely prevention of suicide.

Data availability statement

The dataset generated and analyzed during the current study is not publicly available because the ethics committee has not provided permission/authorization to publicly share the data, but it is available from the corresponding author upon reasonable request.

Ethics statement

The studies involving humans were approved by Universidad Cesar Vallejo, Piura, Peru. The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.

Author contributions

DV-G: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. JZ-V: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. FS-H: Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MG-M: Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing. NM-A: Conceptualization, Data curation, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. VF-R: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. CP-V: Conceptualization, Data curation, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. VV-P: Conceptualization, Investigation, Methodology, Project administration, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. DL-F: Conceptualization, Formal analysis, Investigation, Methodology, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing. MV-G: Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. MV-G was supported by the Fogarty International Center of the National Institutes of Mental Health (NIMH) under Award Number D43TW009343 and the University of California Global Health Institute (UCGHI).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

1. Suicide. World Health Organization. (2023) Disponible en: https://www.who.int/news-room/fact-sheets/detail/suicide

Google Scholar

2. Kessler, RC, Borges, G, and Walters, EE. Prevalence of and risk factors for lifetime suicide attempts in the National Comorbidity Survey. Arch Gen Psychiatry. (1999) 56:617–26. doi: 10.1001/archpsyc.56.7.617

Crossref Full Text | Google Scholar

3. Denis-Rodríguez, E, Alarcón, MEB, Delgadillo-Castillo, R, Denis-Rodríguez, PB, and Melo-Santiesteban, G. Prevalencia de la ideación suicida en estudiantes de Medicina en Latinoamérica: un meta análisis. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo. (2017) 8:387–418. doi: 10.23913/ride.v8i15.304

Crossref Full Text | Google Scholar

4. Leombruni, P, Lo Moro, G, Bert, F, and Siliquini, R. Suicidal ideation among Italian medical students: prevalence and associated factors from a multicenter study. Ann Ist Super Sanita. (2021) 57:324–9. doi: 10.4415/ANN_21_04_07

PubMed Abstract | Crossref Full Text | Google Scholar

5. Asfaw, H, Yigzaw, N, Yohannis, Z, Fekadu, G, and Alemayehu, Y. Prevalence and associated factors of suicidal ideation and attempt among undergraduate medical students of Haramaya University, Ethiopia. A cross sectional study. PloS One. (2020) 15:e0236398. doi: 10.1371/journal.pone.0236398

PubMed Abstract | Crossref Full Text | Google Scholar

6. Madadin, M, Menezes, RG, Alassaf, MA, Almulhim, AM, Abumadini, MS, Alnemer, FA, et al. Suicidal ideation among medical students in Dammam. Saudi Arabia Crisis. (2021) 42:278–83. doi: 10.1027/0227-5910/a000720

PubMed Abstract | Crossref Full Text | Google Scholar

7. León-Jiménez, F, Vives-Kufoy, C, Failoc-Rojas, VE, Valladares-Garrido, MJ, León-Jiménez, F, Vives-Kufoy, C, et al. Mortality in patients hospitalized with COVID-19 in northern Peru. Rev Med Chil. (2021) 149:1459–66. doi: 10.4067/s0034-98872021001001459

PubMed Abstract | Crossref Full Text | Google Scholar

8. Vasquez-Elera, LE, Failoc-Rojas, VE, Martinez-Rivera, RN, Morocho-Alburqueque, N, Temoche-Rivas, MS, and Valladares-Garrido, MJ. Self-medication in hospitalized patients with COVID-19: a cross-sectional study in northern Peru. Germs. (2022) 12:46–53. doi: 10.18683/germs.2022.1305

PubMed Abstract | Crossref Full Text | Google Scholar

9. Palmieri, L, Vanacore, N, Donfrancesco, C, Lo Noce, C, Canevelli, M, Punzo, O, et al. Clinical characteristics of hospitalized individuals dying with COVID-19 by age Group in Italy. J Gerontol A Biol Sci Med Sci. (2020) 75:1796–800. doi: 10.1093/gerona/glaa146

PubMed Abstract | Crossref Full Text | Google Scholar

10. Aveiro-Róbalo, TR, Garlisi-Torales, LD, Chumán-Sánchez, M, Pereira-Victorio, CJ, Huaman-Garcia, M, Failoc-Rojas, VE, et al. Prevalence and associated factors of depression, anxiety, and stress in university students in Paraguay during the COVID-19 pandemic. Int J Environ Res Public Health. (2022) 19:12930. doi: 10.3390/ijerph191912930

PubMed Abstract | Crossref Full Text | Google Scholar

11. Valladares-Garrido, MJ, Picón-Reátegui, CK, Zila-Velasque, JP, and Grados-Espinoza, P. Prevalence and factors associated with insomnia in military personnel: a retrospective study during the second COVID-19 epidemic wave in Peru. Dent Health. (2022) 10:1199. doi: 10.3390/healthcare10071199

PubMed Abstract | Crossref Full Text | Google Scholar

12. Hernández-Yépez, PJ, Muñoz-Pino, CO, Ayala-Laurel, V, Contreras-Carmona, PJ, Inga-Berrospi, F, Vera-Ponce, VJ, et al. Factors associated with anxiety, depression, and stress in Peruvian university students during the COVID-19 pandemic. Int J Environ Res Public Health. (2022) 19:14591. doi: 10.3390/ijerph192114591

PubMed Abstract | Crossref Full Text | Google Scholar

13. Valladares-Garrido, MJ, Zapata-Castro, LE, Picón-Reategui, CK, Mesta-Pintado, AP, Picón-Reategui, RA, Huaman-Garcia, M, et al. Association between working time and burnout syndrome in Peruvian military during the second epidemic wave of COVID-19. Int J Environ Res Public Health. (2022) 19:1–14. doi: 10.3390/ijerph192013614

Crossref Full Text | Google Scholar

14. Fernandez-Canani, MA, Burga-Cachay, SC, and Valladares-Garrido, MJ. Association between family dysfunction and post-traumatic stress disorder in school students during the second COVID-19 epidemic wave in Peru. Int J Environ Res Public Health. (2022) 19:9343. doi: 10.3390/ijerph19159343

PubMed Abstract | Crossref Full Text | Google Scholar

15. Valladares-Garrido, MJ, Picón-Reátegui, CK, Zila-Velasque, JP, Grados-Espinoza, P, Hinostroza-Zarate, CM, Failoc-Rojas, VE, et al. Suicide risk in military personnel during the COVID-19 health emergency in a Peruvian region: a cross-sectional study. Int J Environ Res Public Health. (2022) 19:13502. doi: 10.3390/ijerph192013502

PubMed Abstract | Crossref Full Text | Google Scholar

16. Domínguez-González, AD, Guzmán-Valdivia, G, Ángeles-Téllez, FS, Manjarrez-Ángeles, MA, and Secín-Diep, R. Depression and suicidal ideation in Mexican medical students during COVID-19 outbreak. A longitudinal study. Heliyon. (2022) 8:e08851. doi: 10.1016/j.heliyon.2022.e08851

PubMed Abstract | Crossref Full Text | Google Scholar

17. Pelissier, C, Viale, M, Berthelot, P, Poizat, B, Massoubre, C, Tiffet, T, et al. Factors associated with psychological distress in French medical students during the COVID-19 health crisis: a cross-sectional study. Int J Environ Res Public Health. (2021) 18:12951. doi: 10.3390/ijerph182412951

PubMed Abstract | Crossref Full Text | Google Scholar

18. Crisol-Deza, D, Poma-Ramírez, D, Pacherres-López, A, Noriega-Baella, C, Villanueva-Zúñiga, L, Salvador-Carrillo, J, et al. Factors associated with suicidal ideation among medical students during the initial phase of the COVID-19 pandemic in Peru: a multicenter study. Death Stud. (2023) 47:183–91. doi: 10.1080/07481187.2022.2042752

PubMed Abstract | Crossref Full Text | Google Scholar

19. Hernández-Vásquez, A, Vargas-Fernández, R, Díaz-Seijas, D, Tapia-López, E, and Bendezu-Quispe, G. Prevalence of suicidal behaviors and associated factors among Peruvian adolescent students: an analysis of a 2010 survey. Theor Med. (2019) 19:e7755. doi: 10.5867/medwave.2019.11.7753

Crossref Full Text | Google Scholar

20. Hernández-Vásquez, A, Vargas-Fernández, R, and Bendezu-Quispe, G. Binge drinking and suicidal ideation in Peruvian adolescents: evidence from a pooled cross-sectional survey. J Affect Disord. (2023) 340:321–6. doi: 10.1016/j.jad.2023.08.008

PubMed Abstract | Crossref Full Text | Google Scholar

21. Ando, S, Kasai, K, Matamura, M, Hasegawa, Y, Hirakawa, H, and Asukai, N. Psychosocial factors associated with suicidal ideation in clinical patients with depression. J Affect Disord. (2013) 151:561–5. doi: 10.1016/j.jad.2013.06.047

Crossref Full Text | Google Scholar

22. Almeida, OP, Draper, B, Snowdon, J, Lautenschlager, NT, Pirkis, J, Byrne, G, et al. Factors associated with suicidal thoughts in a large community study of older adults. Br J Psychiatry. (2012) 201:466–72. doi: 10.1192/bjp.bp.112.110130

Crossref Full Text | Google Scholar

23. Still, D. Romantic relationship quality and suicidal ideation in young adulthood. Society and Mental Health. (2021) 11:134–48. doi: 10.1177/2156869320929386

Crossref Full Text | Google Scholar

24. Love, HA, Nalbone, DP, Hecker, LL, Sweeney, KA, and Dharnidharka, P. Suicidal risk following the termination of romantic relationships. Crisis. (2018) 39:166–74. doi: 10.1027/0227-5910/a000484

PubMed Abstract | Crossref Full Text | Google Scholar

25. Tan, ST, Sherina, MS, Rampal, L, and Normala, I. Prevalence and predictors of suicidality among medical students in a public university. Med J Malaysia. (2015) 70:1–5.

PubMed Abstract | Google Scholar

26. Seo, C, Carlo, CD, Dong, SX, Fournier, K, and Haykal, KA. Risk factors for suicidal ideation and suicide attempt among medical students: a meta-analysis. PloS One. (2021) 16:e0261785. doi: 10.1371/journal.pone.0261785

PubMed Abstract | Crossref Full Text | Google Scholar

27. Yamazaki, J, Kizuki, M, and Fujiwara, T. Association between frequency of conversations and suicidal ideation among medical students during COVID-19 pandemic in Japan. Int J Environ Res Public Health. (2022) 19:6385. doi: 10.3390/ijerph19116385

PubMed Abstract | Crossref Full Text | Google Scholar

28. Dennerstein, L. Mental health, work, and gender. Int J Health Serv. (1995) 25:503–9. doi: 10.2190/QJRA-8NMB-KR1R-QH4Q

Crossref Full Text | Google Scholar

29. Ervin, J, Taouk, Y, Alfonzo, LF, Hewitt, B, and King, T. Gender differences in the association between unpaid labour and mental health in employed adults: a systematic review. Lancet Public Health. (2022) 7:e775–86. doi: 10.1016/S2468-2667(22)00160-8

PubMed Abstract | Crossref Full Text | Google Scholar

30. Mensah, A, Toivanen, S, Diewald, M, Ul Hassan, M, and Nyberg, A. Workplace gender harassment, illegitimate tasks, and poor mental health: hypothesized associations in a Swedish cohort. Soc Sci Med. (2022) 315:115520. doi: 10.1016/j.socscimed.2022.115520

PubMed Abstract | Crossref Full Text | Google Scholar

31. Wang, Q, Sun, W, and Wu, H. Associations between academic burnout, resilience and life satisfaction among medical students: a three-wave longitudinal study. BMC Med Educ. (2022) 22:248. doi: 10.1186/s12909-022-03326-6

PubMed Abstract | Crossref Full Text | Google Scholar

32. Kazan, D. The impact of relationship separation on suicidality and mental health. (2018). Available at: https://openresearch-repository.anu.edu.au/handle/1885/144552

Google Scholar

33. Batterham, PJ, Fairweather-Schmidt, AK, Butterworth, P, Calear, AL, Mackinnon, AJ, and Christensen, H. Temporal effects of separation on suicidal thoughts and behaviours. Soc Sci Med. (2014) 111:58–63. doi: 10.1016/j.socscimed.2014.04.004

PubMed Abstract | Crossref Full Text | Google Scholar

34. Márquez, MWB, and Del, CCC. Ruptura de la pareja en jóvenes: factores relacionados con su impacto. Enseñanza e Investigación en Psicología. (2017) 22:342–52.

Google Scholar

35. Till, B, and Niederkrotenthaler, T. Romantic relationships and mental health during the COVID-19 pandemic in Austria: a population-based cross-sectional survey. Front Psychol. (2022) 13:857329. doi: 10.3389/fpsyg.2022.857329

PubMed Abstract | Crossref Full Text | Google Scholar

36. Director, C. Csrm.Admin@ANU.Edu.Au. ANU Centre for Social Research & Methods. The Australian National University; 2020. Mental health and relationships during the COVID-19 pandemic. (2020). Disponible en: https://csrm.cass.anu.edu.au/research/publications/mental-health-and-relationships-during-covid-19-pandemic

Google Scholar

37. O’Connor, RC, Wetherall, K, Cleare, S, McClelland, H, Melson, AJ, Niedzwiedz, CL, et al. Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study. Br J Psychiatry. (2021) 218:326–33. doi: 10.1192/bjp.2020.212

PubMed Abstract | Crossref Full Text | Google Scholar

38. Grados-Espinoza, P, Zila-Velasque, JP, Soriano-Moreno, DR, Regalado-Rodríguez, KM, Sosa-Nuñez, F, Barzola-Farfán, W, et al. A cross-sectional study to assess the level of satisfaction with virtual education in Peruvian medical students. Front Public Health. (2022) 10:1004902. doi: 10.3389/fpubh.2022.1004902

PubMed Abstract | Crossref Full Text | Google Scholar

39. Estlein, R, Gewirtz-Meydan, A, and Opuda, E. Love in the time of COVID-19: a systematic mapping review of empirical research on romantic relationships one year into the COVID-19 pandemic. Fam Process. (2022) 61:1208–28. doi: 10.1111/famp.12775

PubMed Abstract | Crossref Full Text | Google Scholar

40. Peng, P, Hao, Y, Liu, Y, Chen, S, Wang, Y, Yang, Q, et al. The prevalence and risk factors of mental problems in medical students during COVID-19 pandemic: a systematic review and meta-analysis. J Affect Disord. (2023) 321:167–81. doi: 10.1016/j.jad.2022.10.040

PubMed Abstract | Crossref Full Text | Google Scholar

41. Till, B, Tran, US, and Niederkrotenthaler, T. Relationship satisfaction and risk factors for suicide. Crisis. (2017) 38:7–16. doi: 10.1027/0227-5910/a000407

Crossref Full Text | Google Scholar

42. Kazan, D, Calear, AL, and Batterham, PJ. The impact of intimate partner relationships on suicidal thoughts and behaviours: a systematic review. J Affect Disord. (2016) 190:585–98. doi: 10.1016/j.jad.2015.11.003

PubMed Abstract | Crossref Full Text | Google Scholar

43. Kaggwa, MM, Arinaitwe, I, Nduhuura, E, Muwanguzi, M, Kajjimu, J, Kule, M, et al. Prevalence and factors associated with depression and suicidal ideation during the COVID-19 pandemic among university students in Uganda: a cross-sectional study. Front Psych. (2022) 13:842466. doi: 10.3389/fpsyt.2022.842466

PubMed Abstract | Crossref Full Text | Google Scholar

44. Santander-Hernández, FM, Peralta, CI, Guevara-Morales, MA, Díaz-Vélez, C, and Valladares-Garrido, MJ. Smartphone overuse, depression & anxiety in medical students during the COVID-19 pandemic. PloS One. (2022) 17:e0273575. doi: 10.1371/journal.pone.0273575

PubMed Abstract | Crossref Full Text | Google Scholar

45. Calderón, M, Gálvez-Buccollini, JA, Cueva, G, Ordoñez, C, Bromley, C, and Fiestas, F. Validación de la versión peruana del PHQ-9 para el diagnóstico de depresión. Rev Peru Med Exp Salud Publica. (2012) 29:578–9. doi: 10.1590/S1726-46342012000400027

PubMed Abstract | Crossref Full Text | Google Scholar

46. Baader, MT, Molina, FJL, Venezian, BS, Rojas, CC, Farías, SR, Fierro-Freixenet, C, et al. Validity and utility of PHQ9 (patient Helth questionnaire) in the diagnosis of depression in user patients of primary care in Chile. Revista chilena de neuro-psiquiatría marzo de. (2012) 50:10–22. doi: 10.4067/S0717-92272012000100002

Crossref Full Text | Google Scholar

47. Villarreal-Zegarra, D, Copez-Lonzoy, A, Bernabé-Ortiz, A, Melendez-Torres, GJ, and Bazo-Alvarez, JC. Valid group comparisons can be made with the patient health questionnaire (PHQ-9): a measurement invariance study across groups by demographic characteristics. PloS One. (2019) 14:e0221717. doi: 10.1371/journal.pone.0221717

PubMed Abstract | Crossref Full Text | Google Scholar

48. Spitzer, RL, Kroenke, K, Williams, JBW, and Löwe, B. A brief measure for assessing generalized anxiety disorder: the GAD-7. Arch Intern Med. (2006) 166:1092–7. doi: 10.1001/archinte.166.10.1092

Crossref Full Text | Google Scholar

49. Zhong, QY, Gelaye, B, Zaslavsky, AM, Fann, JR, Rondon, MB, Sánchez, SE, et al. Diagnostic validity of the generalized anxiety disorder - 7 (GAD-7) among pregnant women. PloS One. (2015) 10:e0125096. doi: 10.1371/journal.pone.0125096

PubMed Abstract | Crossref Full Text | Google Scholar

50. Franco-Jimenez, RA, Nuñez-Magallanes, A, Franco-Jimenez, RA, and Nuñez-Magallanes, A. Propiedades psicométricas del GAD-7, GAD-2 y GAD-Mini en universitarios peruanos. Propósitos y Representaciones. (2022) 10:1–12. doi: 10.20511/pyr2022.v10n1.1437

Crossref Full Text | Google Scholar

51. Fernandez-Mendoza, J, Rodriguez-Muñoz, A, Vela-Bueno, A, Olavarrieta-Bernardino, S, Calhoun, SL, Bixler, EO, et al. The Spanish version of the insomnia severity index: a confirmatory factor analysis. Sleep Med. (2012) 13:207–10. doi: 10.1016/j.sleep.2011.06.019

PubMed Abstract | Crossref Full Text | Google Scholar

52. Morin, CM, Belleville, G, Bélanger, L, and Ivers, H. The insomnia severity index: psychometric indicators to detect insomnia cases and evaluate treatment response. Sleep. (2011) 34:601–8. doi: 10.1093/sleep/34.5.601

PubMed Abstract | Crossref Full Text | Google Scholar

53. Veqar, Z, and Hussain, ME. Validity and reliability of insomnia severity index and its correlation with Pittsburgh sleep quality index in poor sleepers among Indian university students. Int J Adolesc Med Health. (2017) 32:1–5. doi: 10.1515/ijamh-2016-0090

Crossref Full Text | Google Scholar

54. Álvarez-García, HB, Lugo-González, IV, González Betanzos, F, Álvarez-García, HB, Lugo-González, IV, and González, BF. Propiedades psicométricas del Índice de Severidad de Insomnio (ISI) en adultos mexicanos. Dermatol Int. (2023) 9:e311. doi: 10.24016/2023.v9.311

Crossref Full Text | Google Scholar

55. Cordero Tapia, S, and Tapia, Cuzco P. Estudio del riesgo de suicidio en estudiantes de las escuelas de Medicina y Psicología de la Universidad del Azuay: identificación de los riesgos asociados [B.S. thesis]. Universidad del Azuay; (2009).

Google Scholar

56. Sánchez Pedraza, R, Guzmán, Y, and Cáceres, RH. Estudio de la imitación como factor de riesgo para ideación suicida en estudiantes universitarios adolescentes. Revista colombiana de psiquiatría. (2005) 34:12–25.

Google Scholar

57. León-Jiménez, F, Le, LJR, Chang-Dávila, D, Chichón-Peralta, JL, and Piedra-Hidalgo, MF. Tamizaje de salud mental mediante el test MINI en estudiantes de Medicina. Anales de la Facultad de Medicina. (2012) 73:191–5. doi: 10.15381/anales.v73i3.862

Crossref Full Text | Google Scholar

58. Virú-Loza, MA, Valeriano-Palomino, KL, and Zárate-Robles, AE. Factores asociados a planeamiento suicida en estudiantes de una Escuela de Nutrición en Lima, Perú, 2009. Anales de la Facultad de Medicina. (2013) 74:101–6. doi: 10.15381/anales.v74i2.2381

Crossref Full Text | Google Scholar

59. Perales, A, Sánchez, E, Parhuana, A, Carrera, R, and Torres, H. Conducta suicida en estudiantes de la escuela de nutrición de una universidad pública peruana. Rev Neuropsiquiatr. (2013) 76:231–5. doi: 10.20453/rnp.v76i4.1172

Crossref Full Text | Google Scholar

60. Khosravi, M, and Kasaeiyan, R. The relationship between neuroticism and suicidal thoughts among medical students: moderating role of attachment styles. J Family Med Primary Care. (2020) 9:2680–7. doi: 10.4103/jfmpc.jfmpc_1200_19

PubMed Abstract | Crossref Full Text | Google Scholar

61. Bountress, KE, Cusack, SE, Conley, AH, and Aggen, SH. The spit for science working group, Vassileva J, et al. the COVID-19 pandemic impacts psychiatric outcomes and alcohol use among college students. Eur J Psychotraumatol. (2022) 13:2022279. doi: 10.1080/20008198.2021.2022279

PubMed Abstract | Crossref Full Text | Google Scholar

62. Instituto Nacional de Salud Mental Honorio Delgado - Hideyo Noguchi". (2021). Disponible en: https://www.insm.gob.pe/oficinas/comunicaciones/notasdeprensa/2021/036.html

Google Scholar

63. Sierra, VE, Rodríguez, JLS, and Torres-Torija, CS. Incidencia del duelo en la ruptura amorosa en estudiantes universitarios en un Centro de Crisis, Emergencias y Atención al Suicidio (CREAS). J Behav Health & Soc Issue. (2017) 9:27–35. doi: 10.1016/j.jbhsi.2018.01.001

Crossref Full Text | Google Scholar

64. Salazar, TR, and Morales, ZR. Intimidad y relaciones de pareja durante la pandemia de la COVID-19 en Guadalajara. Espiral Estudios sobre Estado y sociedad (eISSN: 2594-021X). (2020) 27:215–64. doi: 10.32870/eees.v28i78-79.7206

Crossref Full Text | Google Scholar

65. Márquez, MWB, Del, CCC, and Balderrama, JF. Characterization of a breakup in couples of university students: differences in cognitive assessment of the event. J Behav Health & Soc Issues. (2017) 9:28–33. doi: 10.1016/j.jbhsi.2017.11.002

Crossref Full Text | Google Scholar

66. McLaughlin, JC, and Gunnell, D. Suicide deaths in university students in a UK City between 2010 and 2018 – case series. Crisis. (2021) 42:171–8. doi: 10.1027/0227-5910/a000704

PubMed Abstract | Crossref Full Text | Google Scholar

67. Gayatri, M, and Irawaty, DK. Family resilience during COVID-19 pandemic: a literature review. Fam J. (2022) 30:132–8. doi: 10.1177/10664807211023875

PubMed Abstract | Crossref Full Text | Google Scholar

68. Luthar, SS, and Cicchetti, D. The construct of resilience: implications for interventions and social policies. Dev Psychopathol. (2000) 12:857–85. doi: 10.1017/S0954579400004156

PubMed Abstract | Crossref Full Text | Google Scholar

69. Liu, BH, Huang, YQ, Niu, WY, Lv, ZZ, Yue, C, and Wang, PY. Study on the factors influencing suicidal ideation among medical students in Beijing. Zhonghua Liu Xing Bing Xue Za Zhi. (2008) 29:128–31.

PubMed Abstract | Google Scholar

70. Khader, WS, Tubbs, AS, Haghighi, A, Athey, AB, Killgore, WDS, Hale, L, et al. Onset insomnia and insufficient sleep duration are associated with suicide ideation in university students and athletes. J Affect Disord. (2020) 274:1161–4. doi: 10.1016/j.jad.2020.05.102

PubMed Abstract | Crossref Full Text | Google Scholar

71. King, N, Pickett, W, Rivera, D, Byun, J, Li, M, Cunningham, S, et al. The impact of the COVID-19 pandemic on the mental health of first-year undergraduate students studying at a Major Canadian university: a successive cohort study. Can J Psychiatry. (2022) 68:499–509. doi: 10.1177/07067437221094549

Crossref Full Text | Google Scholar

72. Akram, U, Ypsilanti, A, Gardani, M, Irvine, K, Allen, S, Akram, A, et al. Prevalence and psychiatric correlates of suicidal ideation in UK university students. J Affect Disord. (2020) 272:191–7. doi: 10.1016/j.jad.2020.03.185

PubMed Abstract | Crossref Full Text | Google Scholar

73. McCall, WV, and Black, CG. The link between suicide and insomnia: theoretical mechanisms. Curr Psychiatry Rep. (2013) 15:389. doi: 10.1007/s11920-013-0389-9

PubMed Abstract | Crossref Full Text | Google Scholar

74. Susánszky, E, Hajnal, A, and Kopp, M. Sleep disturbances and nightmares as risk factors for suicidal behavior among men and women. Psychiatr Hung. (2011) 26:250–7.

PubMed Abstract | Google Scholar

75. Bonnet, MH, and Arand, DL. 24-hour metabolic rate in insomniacs and matched normal sleepers. Sleep. (1995) 18:581–8. doi: 10.1093/sleep/18.7.581

PubMed Abstract | Crossref Full Text | Google Scholar

76. Bernert, RA, and Joiner, TE. Sleep disturbances and suicide risk: a review of the literature. Neuropsychiatr Dis Treat. (2007) 3:735–43. doi: 10.2147/ndt.s1248

PubMed Abstract | Crossref Full Text | Google Scholar

77. Schwenk, TL, Davis, L, and Wimsatt, LA. Depression, stigma, and suicidal ideation in medical students. JAMA. (2010) 304:1181–90. doi: 10.1001/jama.2010.1300

PubMed Abstract | Crossref Full Text | Google Scholar

78. Osama, M, Islam, MY, Hussain, SA, Masroor, SMZ, Burney, MU, Masood, MA, et al. Suicidal ideation among medical students of Pakistan: a cross-sectional study. J Forensic Leg Med. (2014) 27:65–8. doi: 10.1016/j.jflm.2014.08.006

PubMed Abstract | Crossref Full Text | Google Scholar

79. World Health Organization. (2021). Devastatingly pervasive: 1 in 3 women globally experience violence. Disponible en: https://www.who.int/news/item/09-03-2021-devastatingly-pervasive-1-in-3-women-globally-experience-violence

Google Scholar

80. Barroso Martínez, AA. Comprender el suicidio desde una perspectiva de género: una revisión crítica bibliográfica. Revista de la Asociación Española de Neuropsiquiatría. (2019) 39:51–66. doi: 10.4321/s0211-57352019000100004

Crossref Full Text | Google Scholar

81. Xu, Y, Su, S, Jiang, Z, Guo, S, Lu, Q, Liu, L, et al. Prevalence and risk factors of mental health symptoms and suicidal behavior among university students in Wuhan, China during the COVID-19 pandemic. Front Psych. (2021) 12:695017. doi: 10.3389/fpsyt.2021.695017

PubMed Abstract | Crossref Full Text | Google Scholar

82. Wang, X, Lu, Z, and Dong, C. Suicide resilience: A concept analysis. Front Psych. (2022) 13:984922. doi: 10.3389/fpsyt.2022.984922

Crossref Full Text | Google Scholar

83. Pierre Zila-Velasque, J, Grados-Espinoza, P, Regalado-Rodríguez, KM, Luna-Córdova, CJ, Calderón, GSS, Diaz-Vargas, M, et al. Prevalence and factors associated with eating disorders in Peruvian human medicine students in the context of the COVID-19 pandemic: a multicentre study. Rev Colomb Psiquiatr. (2022). doi: 10.1016/j.rcp.2022.07.005

Crossref Full Text | Google Scholar

84. Díaz-Vélez, C, Failoc-Rojas, VE, Valladares-Garrido, MJ, Colchado, J, Carrera-Acosta, L, Becerra, M, et al. SARS-CoV-2 seroprevalence study in Lambayeque, Peru. June–July 2020. PeerJ. (2021) 9:e11210. doi: 10.7717/peerj.11210

PubMed Abstract | Crossref Full Text | Google Scholar

85. Carhuapoma-Yance, M, Apolaya-Segura, M, Valladares-Garrido, MJ, Failoc-Rojas, VE, and Díaz-Vélez, C. Indice desarrollo humano y la tasa de letalidad por Covid-19: Estudio ecológico en América. Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo. (2021) 14:362–6. doi: 10.35434/rcmhnaaa.2021.143.1258

Crossref Full Text | Google Scholar

86. Valladares-Garrido, MJ, Failoc-Rojas, VE, Soto-Becerra, P, Zeña-Ñañez, S, Torres-Roman, JS, Fernández-Mogollón, JL, et al. Clinical-epidemiologic variation in patients treated in the first and second wave of COVID-19 in Lambayeque, Peru: a cluster analysis. Int J Infect Dis. (2022) 123:212–20. doi: 10.1016/j.ijid.2022.07.045

PubMed Abstract | Crossref Full Text | Google Scholar

87. Vera-Ponce, VJ, Mendez-Aguilar, P, Ichiro-Peralta, C, Failoc-Rojas, VE, and Valladares-Garrido, MJ. Factores asociados a seropositividad para SARS-CoV-2 en pacientes atendidos en un hospital de zona altoandina peruana. Revista del Cuerpo Médico Hospital Nacional Almanzor Aguinaga Asenjo. (2021) 14:8–12. doi: 10.35434/rcmhnaaa.2021.14Sup1.1140

Crossref Full Text | Google Scholar

88. Valladares-Garrido, MJ, Alvarez-Risco, A, Rojas-Alvarado, AB, Zuniga-Cáceres, JA, Estrella Izarra, NA, Peralta, CI, et al. Factors associated with SARS-CoV-2 positivity in patients treated at the Lambayeque regional hospital, Peru during a pandemic period. Sustainability. (2022) 14:14785. doi: 10.3390/su142214785

Crossref Full Text | Google Scholar

Keywords: medical students, mental health, love, suicidal ideation, COVID-19, pandemic, Peru

Citation: Valladares-Garrido D, Zila-Velasque JP, Santander-Hernández FM, Guevara-Morales MA, Morocho-Alburqueque N, Failoc-Rojas VE, Pereira-Victorio CJ, Vera-Ponce VJ, León-Figueroa DA and Valladares-Garrido MJ (2024) Association between love breakup and suicidal ideation in Peruvian medical students: a cross-sectional study during the COVID-19 pandemic. Front. Psychiatry. 14:1287036. doi: 10.3389/fpsyt.2023.1287036

Received: 03 September 2023; Accepted: 08 December 2023;
Published: 29 January 2024.

Edited by:

Tushar Singh, Banaras Hindu University, India

Reviewed by:

Rikinkumar S. Patel, Duke University, United States
Juan Jesús García-Iglesias, University of Huelva, Spain

Copyright © 2024 Valladares-Garrido, Zila-Velasque, Santander-Hernández, Guevara-Morales, Morocho-Alburqueque, Failoc-Rojas, Pereira-Victorio, Vera-Ponce, León-Figueroa and Valladares-Garrido. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: César Johan Pereira-Victorio, cpereirav@continental.edu.pe

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.