Introduction
Suicide is a global public health issue requiring urgent attention. In 2019, over 700,000 deaths were attributed to suicide, with a global age-standardized rate of 9.0 per 100,000 people (Knipe et al.,
2022). Suicide impacted all age groups, being the fourth leading cause of death among 15–29-year-olds. Moreover, in numerous countries, it is the primary or second leading cause of death among adolescents and young adults (World Health Organization [WHO], 2021).
Self-harm, defined as any act of self-injury, regardless of intent (Knipe et al.,
2022; Skegg,
2005) and future suicide risk are strongly associated (de la Torre-Luque et al.,
2023; Hawton et al.,
2012a,
b). It is estimated that approximately 20 self-harm episodes occur for every suicide death each year. In particular, among adolescents and young adults, self-harm increases the risk of death by suicide by approximately tenfold (Hawton et al.,
2003).
Adolescence and young adulthood are critical developmental stages characterized by significant physical, emotional, and social changes. During these periods, individuals face unique stressors such as academic pressures, peer relationships, and identity formation, which can contribute to heightened emotional distress (National Academies of Sciences et al.,
2019). This developmental context is crucial for understanding why adolescents and young adults may be particularly vulnerable to self-harming behaviors. Research indicates that psychological factors such as prior self-harm tendencies and psychiatric illnesses intersect with psychosocial influences like strained family dynamics and substance use to elevate the risk of self-harm repetition in this demographic (Carballo et al.,
2020).
Prior to the pandemic, a steady increase in lifetime self-harm rates among individuals aged 16–24 were observed between 2000 and 2014 (McManus & Gunnell,
2020). The COVID-19 pandemic subsequently amplified this trend, emerging as a risk factor for self-harm (Farooq et al.,
2021; Samji et al.,
2022). The interpersonal-psychological theory of suicide provides a framework for understanding these increased risks. This theory posits that three main factors contribute to suicide risk: thwarted belongingness, perceived burdensomeness, and acquired capability for suicide (Van Orden et al.,
2010). Public health measures implemented to reduce virus spread, such as physical distancing, social and physical isolation, wearing face masks or travel restrictions have exacerbated these factors (Farooq et al.,
2021; Samji et al.,
2022). The consequences of the effect of these pandemic-response measures and the exposure to the COVID-19 infection itself had a negative impact on population mental health. Individuals have experienced isolation (potentially increasing thwarted belongingness), loss, fear of infection, anxiety, disruption of routine, limited access to mental health support, economic insecurity (potentially increasing perceived burdensomeness), and uncertainty about the future. The pandemic may have also increased capability for suicide through repeated exposure to loss, economic hardship, social changes, and fear of COVID-19, potentially leading to emotional desensitization and reduced fear of death.
Understanding the factors influencing self-harm repetition, particularly in the context of the COVID-19 pandemic, is crucial for developing effective prevention strategies. Research has identified various risk factors for self-harm in adolescents and young adults, including psychological (e.g., psychiatric illness, prior self-harm), psychosocial (e.g., alcohol abuse, strained relationships), and sociodemographic factors (e.g., age, gender, ethnicity) (Rahman et al.,
2021). Although while these risk factors for self-harm such as depression, alcohol misuse, and gender, often overlap with those for repeated self-harm (Rahman et al.,
2021), the risk of repetition requires specific attention. Past self-harm experiences predict future tendencies (Plener et al.,
2015), with 15–25% of adolescents repeating self-harm within a year (Hawton et al.,
2012). However, research on repeated self-harm in young people remains limited, resulting in a lack of understanding of what distinguishes those who repeat from those who do not.
The COVID-19 pandemic has created a particularly vulnerable scenario for individuals with a history of self-harm. As a significant risk factor for the development, relapse or exacerbation of mental health conditions, the pandemic may further strain coping mechanisms, potentially increasing the risk of self-harm repetition. This unique context underscores the importance of investigating the interplay between pandemic-related stressors and existing risk factors for self-harm repetition. A better understanding of of these complex interactions will facilitate the development of tailored and effective suicide prevention strategies (Fedyszyn et al.,
2016).
Despite the observed increase in self-harm rates among adolescents and young adults both during and after the COVID-19 pandemic, the specific characteristics of self-harm reattempts among at-risk individuals remain unclear. A comprehensive analysis of how self-harm patterns have evolved post-pandemic is crucial for informing evidence-based mental health policies and developing targeted prevention and management strategies. However, most existing studies examining self-harm in psychiatric emergency departments have limited their follow-up to 2021, leaving a critical gap in our understanding of longer-term pandemic effects. We address this limitation by extending the analysis through December 2022, providing a more comprehensive view of self-harm trends and characteristics in the post-pandemic period.
This study aimed to investigate changes in self-harm and characteristics among individuals aged 10–25 years following the COVID-19 pandemic compared to pre-pandemic times. Additionally, we explored the role of demographic, clinical, and episode-related factors in predicting self-harm repetition. To achieve these objectives, we conducted a comprehensive longitudinal study analyzing medical records from January 2018 to December 2022 at a major hospital in Seville, Spain.
Methods
Study Design and Setting
This retrospective study analyzed medical records of people under 25 years of age who were attended after a self-harm episode in the emergency department of University Hospital Virgen del Rocio (UHVR) at Seville (South-western Spain) from January 1st, 2018, to December 31st 2022.
HUVR provides tax-funded medical care to approximately 800,000 inhabitants in the province of Seville, encompassing three of the five health districts within the province. Geographically, it serves two distinct areas: an urban zone comprising two health districts (Seville and Southern Sevilla), and a metropolitan area (Aljarafe).
Participants
Participants included all individuals under 25 years of age who presented to the UHVR emergency department with a self-harm episode during the study period.
Measures and Procedures
Self-harm Episodes
Self-harm was defined as a non-fatal deliberate action of self-poisoning and/or self-injury, regardless of the underlying motives (Knipe et al.,
2022; Skegg,
2005). Episodes were categorized either as suicide attempts or non-suicidal self-injuries, based on the intention behind the act. We considered self-harm episodes with the intention to die as suicide attempts (O’Carroll et al.,
1996; Silverman et al.,
2007) and injuries deliberately inflicted upon oneself without the intention to die as
non-suicidal self-injury (NSSI) (De Leo et al., 2021).
The categorization was determined by clinical assessment during the emergency department visit and recorded in the medical records and in a dedicated register. After the implementation of the Suicide Prevention Protocol (Crespo-Facorro et al.,
2021) at the Mental Health Department of UHVR in 2018, information on self-harm episodes attended to in the emergency room was collected on a daily basis and categorized according to an ad hoc risk classification system, based on international criteria (O’Carroll et al.,
1996; Posner et al., 2007; Silverman et al.,
2007). All clinicians involved in the management of psychiatric emergencies underwent training in this classification system.
Clinical Variables
The following information was extracted from clinical records by one research assistant (JR) for al index episodes: (1) demographic variables: age and gender; (2) clinical variables: lifetime substance use (yes/no), psychiatric diagnosis at discharge (categorized according to the International Classification of Diseases, Tenth Revision (ICD-10) as follows: affective disorders (F30–F39), anxiety disorders (F40–F48), personality disorders (F60–F69), and other disorders (remaining F codes), and lifetime psychiatric history (yes/no); and (3) characteristics related to the episode: date, type of episode (attempted suicide or NSSI), the method(s) of self-harm coded according to ICD-10 codes for intentional injury (X60–X84), consumption of drugs and/or alcohol at the time of the episode (yes/no), hospitalization (medical or psychiatric yard) after the episode, and lifetime history of NSSI (yes/no).
COVID-19 Timeframe
The date of the episode was registered and contextualized within the COVID-19 pandemic timeframe in Spain. We set the start of the pandemic on March 13th 2020, when national emergency and lockdown was declared (Royal Decree 463/2020 of the Spanish State Official Bulletin; BOE-A-2020-3692) and divided our sample into those episodes taking place during the “pre-COVID-19 period” (January 2018 - March 13th 2020) and those taking place during the “post-COVID-19 period” (March 14th 2020– December 31st 2022).
Recurrence
We identified recurring self-harm episodes of a full five-year follow-up and collected the following information: total number of repeated episodes within one month after the index episode, psychiatric hospitalization (yes/no), and COVID-19 period (pre or post-pandemic).
The research assistant, who had previously undergone training in the current suicide protocol used at the hospital, undertook a review of the records of self-harm episodes. This entailed the extraction of information on variables previously described and their placement in a pseudo-anonymous spreadsheet.
Complex or borderline cases were assessed by senior clinicians (MRV and MLB) with experience in suicide risk assessment. The research team employed a consensus approach to reach a decision, engaging in discussion to ascertain the most accurate categorization.
Statistical Analysis
Data analysis involved four stages. Firstly, to analyze temporal trends and identify changes in new self-harm episodes per month “pre-COVID-19 period” and “post-COVID-19 period”, we conducted a joinpoint regression analysis on the log-transformed monthly counts was conducted using Joinpoint software version 4.9.0.0 (Fernández-Navarro et al.,
2016; Kim et al.,
2000). We considered a maximum of three joinpoints, as recommended for time series with limited monthly observations, to balance model complexity and interpretability. The final model was selected using permutation tests to identify the most parsimonious solution, based on the lowest permutation p-value (
p <.05). These regression models determined the optimal number of joinpoints corresponding to significant changes in the slope of monthly counts over time. We estimated crude incidence rate ratios and 95% confidence intervals by comparing the monthly incidence rate of 2018 with the corresponding month in 2022. Based on the starting and ending months of each segment identified by joinpoints, we calculated the monthly percent change (MPC) and 95% confidence interval. Models were fitted using least squares regression on log-transformed data to estimate relative changes in incidence over time, ensuring appropriate capture of trends.
Secondly, descriptive analyses were conducted to compare sociodemographic and clinical characteristics of adolescents/young adults with a first self-harm episode between “Pre-COVID-19 period” and “Post-COVID-19 period” using t-tests for the continuous variables and Chi-square tests for the categorical variables. Also effect sizes (Cramer’s V) were calculated to estimate the magnitude of the differences between both groups (0.1 = small, 0.3 = medium, 0.5 or greater = large) (Cohen,
1992).
Thirdly, univariable Cox proportional hazards regression models examined the following 10 variables as potential predictors of repeated suicide attempts measured over five years of follow-up: age group at index episode, gender, diagnosis, lifetime psychiatric history, lifetime history of non-suicidal self-injuries, type of index, self-harm method of index episode, psychiatric and somatic hospitalization after index episode, and COVID-19 period. Only those covariables with p values p <.05 were then entered into a multivariable Cox regression analysis. Stepwise backward selection was used to minimize the risk of detection of a true effect (type II error). For individuals with multiple self-harm episodes, only the first repeat episode was analyzed. Statistical significance was set at p values p <.05. All analyses were performed with Statistical Package for Social Sciences software version 23 (SPSS Inc., Chicago, IL, USA).
Ethical Issues
The study was approved by the Local Ethics Committee - the Research Ethics Committee of the University Hospitals Virgen Macarena-Virgen del Rocío - and no informed consent from the participants was required given the nature of the study. One research assistant, bound by a confidentiality agreement, was responsible for data extraction from medical records. During this process, all patient information was pseudonymized and patient identifiers were replaced with unique study codes in an Excel spreadsheet, effectively anonymizing the data for analysis. Access to the pseudonymized dataset was restricted to authorized research personnel and all data analysis was conducted using the pseudonymized dataset, thus further protecting patient privacy.
Discussion
In this study, we investigated the differences in characteristics, patterns, and temporal trends of self-harm episodes among young people over a five-year follow-up period, both before and after the COVID-19 period, between 2018 and 2022. Three main results were found. Firstly, our findings revealed a notable increase in the rate of first registered self-harm episodes within the” post-COVID-19 period” despite similar observation duration in both periods. Specifically, these cases peaked between December 2020 and March 2021, with a monthly increase of up to 23.31% followed by a gradual decline, approaching initial rates. Secondly, patterns of self-harm during the COVID-19 periods differed by age, lifetime substance use, type of index episode and recurring episodes within 30 days of the first attempt. Thirdly, an increased risk of recurring self-harm episodes was related to psychiatric disorders (particularly affective and personality disorders), previous psychiatric history, lifetime history of NSSI, and cutting or piercing as a method.
Increased Self-Harm Episodes Post-COVID-19
Research on self-harm during the COVID-19 pandemic has yielded mixed findings, largely dependent on the observation period. Our study revealed a significant increase in first self-harm episodes during the “post-COVID-19 period”, with a notable peak between December 2020 and March 2021. This finding aligns with previous research reporting increased emergency visits for suicidal behavior among young people during early 2021, approximately one year after the initial COVID-19 outbreak (García-Fernández et al.,
2023; Hertz & Barrios,
2021; Mayne et al.,
2021).
However, it’s important to note that our findings contrast with some earlier studies. Research conducted at the pandemic onset, with shorter follow-up periods, often report no significant changes in self-harm compared to previous periods (Davico et al.,
2021; Isumi et al.,
2020; Mourouvaye et al.,
2021). Studies with longer observation periods have consistently reported a rise in the number of young people seeking urgent psychiatric care due to suicidal thoughts or behavior (Bersia et al.,
2022; Carison et al.,
2022; Chadi et al.,
2021; Cousien et al.,
2021; García-Fernández et al.,
2023; Iob et al.,
2020; Kirič et al.,
2022; Sara et al.,
2023).
The increase in self-harm episodes could be attributed to a complex interplay of factors. While pandemic-related stressors, such as restrictions imposed during January-February 2021 after the increase in COVID-19 cases (Sara et al.,
2023) and the cumulative effect of prolonged exposure to pandemic-related stressor (Loades et al.,
2020) likely played a significant role, other elements warrant consideration. Changes in healthcare-seeking behavior during the pandemic may have influenced reporting patterns, with initial reluctance to visit hospitals potentially suppressing early figures, followed by a subsequent surge (Villaseñor et al.,
2023). Additionally, in the post-pandemic period, the heightened awareness among clinicians of suicidal behavior could have led to more sensitive detection and recording of cases. Broader societal shifts, including increased mental health awareness and changes in social media use, may have contributed to the observed trends independently of the pandemic (Corredor-Waldron & Currie,
2024). It is also crucial to consider that the pandemic may have exacerbated pre-existing upward trends in self-harm rates rather than being their sole cause.
Furthermore, it is noteworthy how rates decreased from March 2021 rates start to gradually decrease towards the initial rates. It could be argued, that normalization of social interactions and reducing acute stressors associated such as isolation and disrupted routines may contribute to enhanced psychological well-being (Hawton et al.,
2021). However, there is growing evidence of long-lasting mental health impacts after recovering from COVID-19 (Llach & Vieta,
2021). Specifically, further research is required to ascertain whether the increasing trend of suicides in young people will abate once the impact of the pandemic has passed and return to pre-pandemic levels, or whether the social repercussions of the pandemic and the associated containment measures have had an impact on the generation of young people affected by these measures.
Interestingly, while we found an increase in new cases of first self-harm episodes, this did not correlate with an increase in recurring self-harm episodes in our emergency department. This finding warrants further investigation into the factors influencing initial versus recurring self-harm behaviors during the pandemic.
Changes in Self-Harm Patterns during the Pandemic
Our analysis of the COVID-19 pandemic periods revealed significant changes in self-harm patterns among young people. Those presenting their first self-harm episode were younger (10–14 years), had a lifetime substance use, showed more frequent self-harm episodes with suicidal intention, and displayed a tendency for more rapid reattempts.
This age difference is in line with previous research showing an increasing trend in self-harm presentations among individuals under 16 years during the pandemic (Paterson et al.,
2023). Moreover, age has been found to play a significant role in how stress due to pandemic affects emotional well-being (Auger et al.,
2023; Barber & Kim,
2021). According to previous research, several factors might contribute to these changes. School closures, quarantine measures and the lack of normal social interactions with peers have led to isolation and problems in developing essential social skills, resulting in increased mental health issues, such as anxiety and depression (Singh et al.,
2020). Additionally, back-to-school academic stress after the lockdown period (Bersia et al.,
2022; García-Fernández et al.,
2023; Gracia et al.,
2021) and the influence of social networks during the pandemic on suicidal behavior (Kirič et al.,
2022) have been related to an increase of self-harm rates.
Our findings align with previous research establishing a relationship between substance abuse and self-harm in adolescents (Moran et al.,
2015; Wilcox,
2004). We found that lifetime drug use was a significant factor in the increased self-harm rates following the pandemic onset. Many youths who have difficulties coping with their problems seek relief from drugs and alcohol (Mars et al.,
2019). However, given the exceptional circumstances of the pandemic, further investigation is needed to clarify the causal relationship between drug use and increased self-harm episodes.
Regarding the type of index episode, we found an increase in suicidal attempts versus NSSI during the “post-COVID-19 period”. Thus, our finding is in agreement with previous literature which found that people who have had attempts were significantly more likely to have experienced stressful life events compared to subjects exhibiting other manifestations of self-harm behavior (King et al.,
2001). The COVID-19 pandemic emerges as an important stress factor in this context.
Risk Factors for Recurring Self-Harm Episodes
Our study found that individuals who have committed self-harmed in the “post-COVID-19 period” engaged in subsequent self-harm episodes more rapidly within the next 30 days compared to those in pre-pandemic times. This finding support previous research indicating that shorter time intervals between self-harm episodes increase the risk of subsequent suicidal behavior (Bostwick et al.,
2016; Hawton et al.,
2003; Olfson et al.,
2017). Specifically, the risk of suicide mortality is notably elevated for up to six months following a self-harm episode, peaking one month after the attempt (Geulayov et al.,
2019).
Over a five-year follow-up, 35% of our sample exhibit recurrent suicide attempts after an initial episode. These findings align with previous studies identifying prior attempts as the main risk factor of suicidal behavior, with risk increasing with each subsequent attempt (de la Torre-Luque et al.,
2023; Gibb et al.,
2005; Ribeiro et al.,
2016). Adolescents, in particular, show higher recurrence rates (Castellví et al.,
2017; Mars et al.,
2019; Plener et al.,
2015).,
Our results are also in line with previous studies, which revealed that the risk of recurring episodes rises with the frequency of repetitive NSSI episodes in both young individuals (Hawton et al.,
2012a,
b) and across all age groups (Perry et al.,
2012). Similarly to previous research we found other risk factors for recurring self-harm as previous psychiatric history (Brager-Larsen et al.,
2022; de Beurs et al.,
2019; Ezquerra et al.,
2023; Monnin et al.,
2012) and a psychiatric diagnosis, particularly affective (Webb,
2002) and personality disorders (Olfson et al.,
2017).
Regarding the method used, our results are consistent with studies finding a higher risk of attempt repetition when cutting or piercing was featured (Bennardi et al.,
2016; Blasco-Fontecilla et al.,
2016; de la Torre-Luque et al.,
2023; Hawton et al.,
2012a,
b). Previous studies suggest that self-harm, such as cutting or piercing, may be addictive (Blasco-Fontecilla et al.,
2016), leading individuals to repeat it and potentially experience more episodes.
We failed to find age as a significant risk factor for new episodes, although it is important to bear in mind that our sample consisted of individuals aged between 10 and 25 years. Previous evidence has shown that the relationship between age and self-harm repetition in adolescents is uncertain, and thus further research is required (Rahman et al.,
2021).
Clinical and Research Implications
Our results have significant implications for clinical practice and public health policy. The findings underscore the need for targeted interventions and enhanced mental health support for young people, particularly those aged 10–14, in the post-pandemic period. Clinicians should be alert to the increased risk of self-harm and implement early detection and rapid intervention strategies, especially for individuals with a history of psychiatric disorders or substance use. From a research perspective, longitudinal studies are crucial to understand the long-term mental health consequences of the pandemic on adolescents and young adults. In this context, governments should prioritize comprehensive mental health strategies with a strong emphasis on prevention and early intervention. These strategies should include improving access to mental health care, making interventions more affordable and timelier, and implementing public health campaigns to promote mental wellbeing and reduce stigma. Additionally, governments should invest in digital mental health services and foster collaboration between healthcare providers and community organizations to create integrated support systems, thereby strengthening overall community resilience in the face of ongoing and future crises.
Strengths and Limitations
This study has several strengths, including an extensive sample that focuses on individuals between the ages of 10 and 25 years who are particularly vulnerable to self-harm, a longitudinal design, and an extended assessment period of five years that ended in December 2022. However, it also has some limitations that should be noted. Firstly, our study is based on the review of electronic records, and no structured interview or measures were carried out. Secondly, we were not able to capture data on people who sought help from other services and hospitals different than the UHVR. In addition, most young people with suicidal behaviors, specially non-suicidal self-harm, do not seek formal professional assistance; rather, they are more inclined to seek informal support from their peers (Michelmore & Hindley,
2012). This may thus have slightly underestimated the rate of index episodes and their repetition. Thirdly, there may be several other factors influencing self-harm that were not included in the current study, such as culture, cyberbullying, genetic factors, medication, and participants’ socioeconomic level. Fourthly, although our study has a five-year follow-up period, longer studies are needed to better understand the long-term adverse consequences of the pandemic on adolescents’ and young adults’ mental health, especially the impact on suicidal behavior, including self-harm. Finally, our sample predominantly reflects a Hispanic cultural identity, which presents specific characteristics that could influence the results. In particular, social and economic factors, such as access to healthcare, may affect our findings and recommendations. As a result, it may be challenging to generalize these results to other cultures or ethnicities.
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