Revisión bibliográfica
Risk and Protective Factors for Suicidal Ideation and Attempt in Latin American Adolescents and Youth: Systematic Review
Factores de riesgo y protección para la ideación e intento de suicidio en adolescentes y jóvenes latinoamericanos: Revisión sistemática
Ladini Sunanda Hernández Bello
Universidad de Cartagena (Colombia)
https://orcid.org/0000-0003-0179-1476
Correspondencia:
lhernandezb2@unicartagena.edu.co
Fernando de la Hoz Restrepo
Universidad Nacional de Colombia
https://orcid.org/0000-0001-9436-7935
Andrés Mauricio RÍos Paternina
Corporación Universitaria Rafael Núñez
(Colombia)
https://orcid.org/0000-0002-4967-0107
Abstract
Suicidal behavior is constituted as a public health problem, and the literature is recognized extensively for enunciating risk and protection factors associated with the attempt of suicide. The evaluation of the methodological quality of the primary studies is required by systematic reviews, thus guiding decision-making regarding the design of interventions from the risk approach. The identification of the risk and protective factors associated with suicidal ideation and attempts in adolescents and young people in Latin America studies and the evaluation of the methodological quality of the included studies were the objectives of this systematic review. The databases CUIDEN, LILACS, Pubmed, Scielo, Science Direct, SCOPUS, EBSCO, and Medline were consulted, with the results being restricted to articles in the last 10 years. A total of 3,642 documents were obtained, from which 19 studies were included. Of the studies, 52.63 % (n =10) were found to have a medium internal validity level, and 57.89 % (n =11) were determined to have a medium global quality level. The most frequently reported family risk factors were family dysfunction and suicide background, with other factors including the presence of mental disorder, psychoactive substances consumption, physical violence, sexual violence, and the social factor. On the other hand, the study of protective factors was found to be limited, with family functionality and support being the most frequently reported evidence.
Keywords: Suicide, teenagers, youths, risk factors, review (DeCS source).
Resumen
La conducta suicida se constituye en un problema de salud pública. La literatura es amplia en enunciar factores de riesgo y protección asociados al intento de suicidio. Se requiere revisiones sistemáticas que evalúen la calidad metodológica de los estudios primarios, y asÍ orientar la toma de decisiones frente al diseño de intervenciones desde el enfoque de riesgo. El objetivo de esta revisión sistemática fue identificar los factores de riesgo y de protección asociados a la ideación e intento de suicidio en adolescentes y jóvenes en estudios de Latinoamérica y evaluar la calidad metodológica. Se consultó las bases de datos CUIDEN, LILACS, Pubmed, Scielo, Science Direct, SCOPUS, EBSCO y Medline, restringiendo los resultados a artÍculos publicados en los últimos 10 años. Se obtuvieron 3642 documentos, de los cuales se incluyeron 19 estudios. El 52,63 % (n =10) de los estudios obtuvo un nivel medio en validez interna y 57,89 % (n =11) nivel medio de calidad global. La disfuncionalidad familiar severa y el maltrato familiar fueron los factores de riesgo familiares más reportados, el antecedente de suicidio, el factor biológico, la presencia de depresión y el consumo de sustancias psicoactivas fueron los factores psicológicos; el abuso sexual y el acoso escolar los factores sociales. Por su parte, el estudio de los factores protectores fue escaso; el más reportado en la evidencia fue la funcionalidad y el soporte familiar.
Palabras clave: Suicidio, adolescentes, jóvenes, factores de riesgo, intento de suicidio, revisión (fuente DeCS).
Introduction
Adolescence is considered a crucial stage of human development, during which individuals are subjected to significant physical, psychological, and social changes. This period presents numerous opportunities for personality development that will establish the groundwork for adult behavior. However, it is also a time when individuals may encounter considerable conflicts and risks to their mental health (Caceda, 2014; Arias et al., 2021). One of the risks is suicidal behavior, which is a consequence of the interaction of multiple causes and predisposing factors with a high potential for prevention (Carballo et al., 2008; Clayton, 2018).
According to Andrade & Garcia (2012), the ideation and suicide attempt in adolescence are, in most cases, seen as the expression of a desire to change an existing social and psychological chaos. It is regarded as a form of reaction to the feeling of impotence to change a situation that has become unbearable. While suicidal behavior is understood as a process that is gradually occurring and is manifested in various ways, including the desire or manifestation of dying, the image of death, and the suicidal attempt, up to completed suicide.
In Latin America, high incidences of suicidal behavior in adolescents and young populations have been reported in several recent studies. For example, two ecological studies were conducted by Dávila and Luna in Mexico in two different years; the first in 2018 using data from the National Health and Nutrition Survey (Ensanut), where 21,509 adolescentswere included, and the second in 2019 using data from the national drug use survey where 26,503 Mexican students were included. In the first study, the incidence of attempted suicide was found to be 2.74 %, with 1.45 % occurring in the twelve months prior to the survey and 1.29 % taking place before the period of study (Dávila y Luna, 2018). It was reported that men had 4.3 % ideation, 3.6 % planning, and 3.3 % intent, while women had 7.9 % ideation, 8 % planning, and 10.3 % attempted suicide. In Colombia, according to the latest figures from the National Institute of Health, attempted suicide is increasing, with a rate that went from 52.41 in 2017 to 62.17 per 100,000 inhabitants in 2019 (Dávila & Luna2018.
Given that suicide attempts and suicide mortality are considered a Public Health problem, it is contended by this research that suicidal behavior is etiologically determined by a cluster of biological, psychological, social, and environmental conditions that are manifested at the individual level as risk factors. Therefore, it is deemed pertinent to be aware of the associated factors of suicide ideation and attempts that are considered as a foundation for the implementation of interventions from the perspective of modern pidemiology founded on scientific evidence (Alvarez, 2008). The reviews conducted on the subject were found to be non-systematic (Serrano & Olave, 2017; Azúa et al., 2020; Londoño & Cañon, 2020 and Arias et al., 2021), lacking in thorough research in databases (2-5), not in accordance with the PRISMA statement guidelines, and with no assessment of the studies’ methodological quality. The aforementioned characteristics are met by only one review (Hernández et al., 2020); however, it is focused solely on the adolescent population and lacks specificity to Latin America. Therefore, the objective of this systematic review was to identify the risk and protective factors associated with ideation and suicide attempts in adolescents and young people in Latin American studies, and as a secondary objective, to evaluate the methodological quality of the included studies.
Method
A systematic review of the literature, in accordance with the PRISMA guidelines declaration (Urrutia & Bonfill, 2010) was conducted in November 2021 and updated in December 2023 on risk and protective factors for suicidal ideation and attempt in adolescents and young people. The databases CUIDEN, LILACS, Pubmed, Scielo, Science Direct, SCOPUS, EBSCO, and Medline were consulted, with the results being restricted to articles in the last 12 years in order to obtain the most recent data. The following keywords consulted in the Health Sciences Descriptors library were used to design search equations combined with the Boolean operator AND and OR as follows: suicide AND adolescents OR young people and suicide AND risk factors for the Spanish language and its counterparts in the English and Portuguese languages. The search was conducted by two authors (Del Pino et al., 2014).
Inclusion and exclusion criteria
Analytical quantitative studies on risk and protection factors with Latin American samples in adolescents and young people are examined in this review. Adolescents are defined as those subjects aged between 10-19 years, while young people are defined as subjects between 15-24 years old, according to the World Health Organization’s definition. The publication format of these studies was an original scientific article within the last 10 years, originating from Latin American countries. Studies with ecological designs, lacking statistical information on association (such as chi square tests, p values, odds ratio), and falling within the realm of gray literature were excluded:
Serapio Costa, A. Realidad psicosocial: La adolescencia actual y su temprano comienzo. Universidad Complutense de Madrid.
Organización Mundial de la Salud. (2023). Salud del adolescente.
Selection of studies
The initial selection of studies was conducted by reading the titles, and the chosen ones were downloaded into the Mendeley bibliographic manager. Subsequently, the articles saved in Mendeley were reviewed to eliminate duplicates. Following this, the summaries of the remaining articles were read in order to apply the first filter. The first filter results were examined by applying a first reading of the full text to ensure that the studies met the inclusion and exclusion criteria. Subsequently, the studies that met the inclusion and exclusion criteria were exported to an Excel spreadsheet.
Risk of bias assessment of studies
The Ciapponi critical reading guide was used, which allows to evaluate bias in observational studies through internal validity. For the purposes of this review, items 2, 3, 4, 5, 6, 15, 16, 17 and 18 of the guides were taken considered (Ciapponi, 2010).
In order to reduce publication and selection bias in this review, the search and selection of studies were contrasted and audited by the third author, while being conducted by two authors. Search equations were utilized in three different languages and multiple bibliographic sources were consulted to ensure a comprehensive search. Additionally, a bibliographic manager was employed to facilitate an appropriate selection and the correct application of filters.
Variables and data collection
Three types of variables were categorized from the review protocol: sample characteristics, suicidal behavior variables, and risk and protective factors. Based on this categorization, the variables were organized into an Excel matrix during the data extraction process:
Sample characteristics: year of publication; country, scientific article; study design, quantitative, population.
Variables on suicidal behavior: suicidal ideation and attempt.
Risk and protective factors: sociodemographic (gender, low socioeconomic level, low educational level), biological (decreased neurotransmitters, heredity), psychological (alterations in mood, psychosis, self-esteem) social (family dysfunction, lack of social support, alcoholism, smoking and psychoactive substances use, bullying, relationships) cultural (ethnic minorities) and spiritual practices (religion, beliefs).
Data analysis
Data synthesis was conducted by extracting statistical estimates according to the type of variable previously categorized, through a summary of the findings of the articles included in the review. The minimum and maximum percentages indicating the prevalence of suicide ideation and attempts were identified, along with the statistical estimators of association for risk and protective factors. Furthermore, the vote counting technique and the Sign Test have been utilized. The vote count enables a comparison between the number of studies reporting a positive association and those reporting a negative association. In this instance, studies demonstrating a statistically significant association between a given factor and suicide ideation and/or attempt were assigned a positive vote, while a negative vote was given to studies lacking such an association. The sign test was utilized to determine if the difference in the number of positive studies was significantly greater than the opposite result. A significance value of less than 0.05 was established, although these analysis techniques are limited, they help to guide the results of the review (Del Pino et al., 2014). This information was organized and compiled in a table.
Results
Characteristics of the sample
A total of 4,055 documents were obtained, of which 20 studies conducted in Latin America were included. 50 % (n =10) were conducted in Colombia, 15 % (n =3) in Mexico, 10 % (n =2) in Cuba, 15 % (n =3) in Chile, Jamaica and Peru 5 % (n =1) each (figure).
A cross-sectional analytical design was utilized in 95 % (n =19) of the studies, while 5 % (n =1) were characterized by a retrospective longitudinal design. Of the total, 35 % (n =7) employed probabilistic sampling methods, with 4 utilizing a stratified type and 3 using a simple random type. The remaining 65 % (n=13) of studies employed non-probabilistic sampling methods, such as convenience, incidental, or snowball sampling. With respect to the sample of participants, 70 % (n =14) of the studies were conducted in adolescents attending secondary school, of which 28.57 % (n =4) examined the age range between 15-20 years, while 71.43 % (n =10) included adolescents aged 10-15 years. Additionally, 20 % (n =4) of the studies incorporated adolescents from mental health institutions, with only 1 studying adolescents between 10-21 years old. 5 % of the sample included university students from the Medicine program aged 16-36 years and adolescents from the LGTBIQ+ community, respectively. The smallest sample, consisting of 46 adolescents, and the largest sample, consisting of 2,997 individuals, were included in the study.
Risk of study bias
The evaluation of the biases of the included studies was conducted using the Ciapponi critical reading guide, which assesses the internal validity and overall quality of the investigations with observational designs. A medium internal validity level was obtained by 55 % (n =11) of the studies, while a high level was obtained by 30 % (n =6) and a low level by 15 % (n =3). In terms of global quality, a medium level was obtained by 60 % (n =12), a high level by 30 % (n =6), and a low level by 10 % (n =2) (appendage 1).
Prevalence of suicidal ideation and attempt
Suicide ideation and attempt were measured with different self-response instruments in 80 % (n =16) of the cases. Among these, in 20 % (n =4) of the studies, the authors’ own questionnaire was designed, while 15 % (n =3) utilized the Plutchik scale, and 10 % (n =2) employed the Positive and Negative Suicidal Ideation (PANSI) and Okasha, respectively. Various instruments such as student health survey, youth health survey, suicidal ideation scale, Beck scale, CES-D scale, and Columbia University rating scale were used in the rest of the investigations (n =6). On the other hand, suicidal ideation and/or attempt were not measured in 3 studies because the participants were adolescents with suicide attempts who were in mental health institutions.
The range of prevalence of suicidal ideation in school adolescents
was found to be between 22.8 % and 31.4 % according to the
Plutchik scale, while it was reported to be between 8.1 % and 9.7
% with the questionnaires designed by the authors. Suicidal
ideation was measured at 19.5 % using the suicidal ideation scale,
14.9 % with the Beck scale, 4 3% with PANSI, 14.7 % with the CES-D
Scale, 23.6 % with the student health survey, and 14.23 % with the
survey of youth health.
In relation to attempted suicide, the prevalence was found to be 12.2 % according to the Plutchik scale, 17.5 % according to the student health survey, 3.55 % according to the youth health survey, between 9 % and 16.4% according to Okasha, and between 4.9 % and 22.4 % with the questionnaires designed by the authors. Additionally, it was determined to be 2.7 % according to Beck and 13.9 % according to the CES-D Scale.
Instruments used for associated factor measurement
The review included studies that utilized a variety of instruments to measure the wide range of factors associated with suicide ideation and attempts, with a total of 34 instruments being identified. Of these, 8.8 % (n=3) were constructed by the researchers themselves to measure variables such as cigarette consumption, psychoactive substance consumption, bullying, sexual abuse, and family structure (Méndez et al., 2022; álvarez, 2013; Pineda, 2019). Meanwhile, 88.2 % (n=30) were comprised of validated instruments, and only two investigations utilized the structured interview to investigate variables such as history of suicidal behavior, family mental disorders, among others (Pérez et al., 2020; WD 2012).
The family APGAR, used to measure family dysfunction, was found to be the most utilized among the validated instruments (álvarez et al., 2013; Cañón et al., 2018; Aguirre et al., 2015; Pérez et al., 2012; Valdivia et al., 2015) and the Rosemberg Self-Esteem Scale (Silva et al., 2017, Cañon et al., 2018, Aguirre et al., 2015; Pérez et al., 2012; Sarmiento et al., 2011), Both were used in 5 investigations. This was followed by the CAGE Scale for alcohol dependence in 4 studies (álvarez et al., 2017; Cañón et al., 2018; Pinzón et al., 2013; Aguirre et al., 2015). Thirdly, the Beck Hopelessness Scale (Silva 2017; Garza 2019; Valdivia et al., 2015) and the Cisneros Scale for bullying (Cañon et al., 2021; Cañón et al., 2018; Aguirre et al., 2015) were located in three investigations each.
Several instruments were used in relation to the depression
variable, including the CES-D depression scale (Pinzon et al.,
2013; Secundino, 2020; Sarmiento et al., 2011), the Beck
Depression Inventory (Silva et al., 2017; Valdivia et al., 2015),
the Birleson Scale (álvarez et al., 2013; Aguirre et al.,
2015), and the Columbia Depression Scale (Pérez et al.,
2012). Furthermore, instruments that measure, in addition to
depression, anxiety, and stress variables such as the Goldberg
Depression and Anxiety Scale (Cañón, et al., 2021),
the Hospital Depression and Anxiety Scale (Cañón et
al., 2018), and the DASS-21 (Mendez et al., 2022), are
utilized.
Risk factors associated with suicidal ideation and attempt
All of the investigations (n =19) that were studied and related to risk factors for suicidal ideation and attempt in adolescents were described below:
Family risk factors: Dysfunctionality (OR = 2.17; p = 0.046), negative parenting style (OR = 2.42; CI = 1.71-3.42), parental absence (OR = 2.31; p = 0.019), Negative affect (0.587; p = 0.000) poor communicationwith parents (OR = 10.51; p= 0.0000), lack of parental protection (OR2 =.9; CI = 95 %1.3-6.4), conflictive communication (OR = 8.500; CI = 3.013-23.978; p = 0.000), history of suicidal behavior (OR = 5.62; p = 0.0091), psychiatry treatments hospitalization background (60 %; p = 0.005), domestic violence P(0.000), negative paternal role (OR = 3.1; p = 0.01) (Aguirre, et al., 2015; álvarez, et al., 2013; Bimala et al., 2015; Pérez et al., 2012; Silva et al., 2017; Valdivia et al., 2015; Cañón et al., 2018, Sarmiento et al., 2011; álvarez et al., 2017; Cañón et al., 2017, Canón et al., 2021; Suarez et al., 2018; Pérez et al., 2020).
Biological risk factors: history of suicide (OR = 5.62; p=0.0091), suicide attempts and ideas background (OR = 3.26; p=0.0126), age (β = 9.63; CI= 2.31- 16.96; p≤ 0.005), female gender (OR = 5.12; CI =3.32–7.89) (álvarez et al., 2013; Bimala et al., 2015; Pérez et al., 2012; Silva et al., 2017; Valdivia et al., 2015; WD et al., 2012, Cañón et al., 2017, Pineda 2019, Secundino 2020, Perez 2020, Mendez 2022).
Psychological risk factors: mental and eating disorders (OR= 8.40
CI= [1.64-42.79] p=0.0098), depression (OR = 3.34; p = 0.0095),
anxiety (OR = 6.13; p = 0.0010), stressful situations (386.53 t
-7.338 p<(0.001), stressful events 386.53 t -7.338
p<(0.001), low self-esteem (OR = 2.61; p0.024), hopelessness
(OR = 2.66; p = 0.0019), consumption of psychoactive substances
(OR = 2.40; CI = 1.42-4.04), smoking (OR = 2.6; p = 0.001),
alcoholism (OR = 7.60; CI= [1.91-30.17] p=0.0035), marihuana use
21.9 % (lC95 %:13.1 %-33.1 %) (Aguirre et al., 2015;
álvarez et al., 2013; Bimala et al., 2015; Pérez et
al., 2012; Silva et al., 2017, Valdivia et al., 2015; WD et al.,
2012; Canón et al., 2018, Sarmiento & Villalobos,
2011; Alvarez et al., 2017; Secundino, 2020; Garza et al., 2019;
Pinzón et al., 2013).
Social risk factors: bullying victim (OR = 24.54; p = 0.0000), love breakups (OR = 25.375; CI = 5.258-123.391; p = 0.000), partner infidelity (p = 0.000), love disappointments 48.7 %; p (0.001), violent context (OR = 2.09; CI = 1.41-3.10), few educational opportunities (OR = 2.71; p<(0.05), sexual violence (OR = 3.28; 95 %; CI = 1.75, 6.13), domestic violence (OR = 2.330; CI = 95 %=1.284-4.228) emotional (OR =2.31; CI =1.60-3.34), self-harm (p=0.000; PR = 47.25), sexual orientation (OR = 20.11; p = 0.0000), perception of regular or poor academic performance during the last year (OR = 2.2; 95 %; CI =1.38-3.63) (Aguirre et al., 2015; Pérez et al., 2012; WD et al., 2012; Canón et al., 2018; Canón et al., 2021; Pineda, 2019; Secundino, 2020; Suárez, 2018; Pérez et al., 2017; Pérez et al., 2020; Garza et al., 2019; Pinzón et al., 2013; Mendez et al., 2022).
Spiritual risk factors: Not practicing any religion (OR = 1.2; p = 0.019) (Silva, 2017) and professing Catholicism (X2 = 8.032; p = 0.018; V=0.14) (appendage 2).
Among the risk factors reported by the studies included in the present review, it is notable that factors such as cigarette consumption, psychoactive substance consumption, severe family dysfunction, dependence on alcohol consumption, low self-esteem, sexual abuse, bullying, depression, psychological abuse, female sex, being insulted, academic performance, having divorced parents, love disappointments, recent and past suicidal ideation, anxiety, family abuse, and family history of suicide attempts are included.
However, the vote counting technique and sign test analysis, which were performed to estimate the significance of the difference in the number of studies reporting a positive association compared to those reporting opposite results, revealed that only the difference for the low self-esteem variable was found to be significant (appendage 3).
Protective factors for suicidal ideation and attempt
Only 26.31 % (n = 5) of the investigations studied and/or related protective factors for suicidal ideation and attempt, which are described below:
Family protective factors: family functionality (OR = 0.62; CI = 0.43-0.90), support from families and friends (OR= 0.3697) (WD et al., 2012; Cañón et al., 2018; Suárez et al., 2018).
Psychological protective factors: high self-esteem (OR = 0.51; CI = 0.18-1.41) (WD et al., 2012; Canón et al., 2018).
Social protective factors: social support (OR = 0.37; p = 0.000), living in a rural area (OR = 0.62 (0.41-0.86) (WD et al., 2012).
Spiritual protective factors: religious affiliation (PR = 0.946) (Pineda, 2019; Cañón et al., 2021).
Discussion
In Latin America, research on factors associated with suicidal ideation and attempt is found to be more focused on the study and correlation of risk factors, as evidenced by the results of this review. Conversely, the investigation of protective factors is typically more restricted and less prevalent. Results that are in agreement with the review conducted by Hernández (2020) were reported, indicating that only 5 out of 23 analyzed investigations had examined protective factors. The study of risk factors is focused on by several objectives such as predicting a phenomenon, determining the causes, making a diagnosis, or eliminating the risks in order to prevent the occurrence of a problem. However, the possibility of promoting positive strategies that reduce the probability of falling into certain risks is left aside by this position, so it is important for the phenomena to be studied also from this positive sense (Amar et al., 2003; Giner, 2010; Pérez et al., 2020; Servicio Andaluz de Salud, 2010).
The most common risk factors reported in the studies are of a familial nature, such as family dysfunction, poor communication with parents, domestic violence, and negative parenting role or style. Unlike the biological and spiritual factors, which were studied to a lesser extent. Similar findings were reported in the review by Arias et al. (2021), where family factors such as dysfunction and violence were found to be the most frequently reported in the studies analyzed. The important role that the family plays in the development of a healthy environment that prevents the development of suicidal thoughts and attempts is shown by these findings (Brent, 2005).
The poorly structured nature of the family and the development of a conflictive and violent atmosphere expose its members to be considered wrong solutions that lead to self-destructive behavior. The means of communication of feelings, demands, or pleas, which are not known or cannot be expressed by the adolescent in any other way, are become by the lack of adequate coping strategies, as well as the necessary family cohesion that allows fears to be expressed, tensions and anxieties to be resolved, problems to be solved, and clear guidelines to be established based on love, trust, respect, and understanding. According to Garza et al. (2019), confusing norms and rules were received by more than half of the adolescents and young people interviewed in their study, along with few limits and excessive punishments; Furthermore, it was indicated by 20% that they do not have anyone in their family to rely on in case of problems. t is believed that the adaptive behaviors of childhood, which will be solidified in adolescence and youth, are impacted by parenting. A significant role is played by these behaviors in the quality of the parent-child relationship, as well as in the perceived family and social support by the young person when they are confronted with life stresses and mental health issues.
In second place, psychological factors such as hopelessness, mental disorders, and the use of psychoactive substances are considered. Thirdly, social factors such as sexual and domestic violence, bullying, love breakups, and lack of social support are also taken into account. Various reviews (Serrano & Olave, 2017; Azúa et al., 2020; Londoño & Cañon, 2020; Arias, Morantes et al., 2021) have indicated that mental disorders, particularly depression and substance use, are directly associated with a higher risk of suicidal ideation and attempt. Similarly, the risk is greatly increased by being in a violent and hostile environment and having little or no social support.
Bullying in all its forms, including cyberbullying, has been observed to have gained strength in recent years as a social factor, resulting in significant emotional distress among adolescents and prompting suicide attempts. However, the risk factor in question may be surrounded by contradictory scientific evidence. It was observed by Lardier (2016) that in adolescents, the probability of suicidal ideation was increased by bullying; however, after conducting multivariate logistic regression analysis, the effect was found to no longer be significant. This was achieved by including other risk variables such as depression, family conflict, and substance use. It has been reported by other investigations that a statistically significant relationship exists (Aguirre et al., 2015; Pérez et al., 2012; Cañón et al., 2018, 2021).
In relation to the protective factors, the most reported ones were relatives such as family functionality and family support. Results align with the review conducted by Arias et al. (2021), who also identified these factors as the most extensively studied in a positive light and linked to the lack of suicidal ideation and attempts. The family is seen as a system of relationships, where each member contributes from their own individual characteristics to the creation of a secure environment. In cases where the adolescent is situated within a family unit that effectively regulates these connections and establishes explicit boundaries and guidelines, functional interaction at an emotional and social level can be achieved, aiding in the management of emotions during crises and facilitating positive engagement with life’s transitions. This, in turn, diminishes the likelihood of the manifestation of suicidal behavior (Cid et al., 2014; Sánchez, 2015).
The prevalence of suicidal ideation was found to be variable as a result of the heterogeneity in which it was measured in studies, with figures ranging from 8.1 % as the lowest to 43 % as the highest in adolescents and young people in school. Similarly, attempted suicide also exhibited a variable prevalence, with the lowest figure being 2.7 % and the highest being 17.5 %. Despite these differences, it is shown by these figures that both suicidal ideation and suicide attempts are a public health issue that occurs frequently in the young population, and the urgent implementation of strategies and programs for prevention is required. Through an articulated, comprehensive, and community approach, steps prior to suicide are taken, greatly increasing the probability that a subject will die from this cause (National Institute Of Mental Health, 2020; Ministerio de Salud, 2018). According to Echeburúa (2015), if a subject has had a suicide attempt, the risk of committing suicide increases in the weeks after the act, making it important to provide the necessary therapeutic help and activate the family and social support network.
Furthermore, a high social value is placed on the young population by societies due to their highly productive stage. Consequently, the occurrence of suicidal behavior in young individuals results in significant direct and indirect costs, including the loss of potential years of life in those who commit suicide and the high health costs associated with hospitalization and treatment for those who attempt suicide (United Nations Children’s Fund, 2021); According to PAHO (Pan American Health Organization), in the Americas, suicide is considered the fifth cause of this indicator, as well as years of life adjusted for disability (2019).
In this sense, a synthesis of the risk factors associated with suicide ideation and attempts is provided by this review, which must be taken into consideration when developing programs for the prevention of suicidal behavior and the promotion of mental health from an interdisciplinary approach in health, as the reduction of these risk factors must be achieved through interventions in order to protect adolescents and young people. However, it is deemed necessary for future research to be bolstered in the examination of protective factors, as it is recommended that positive factors be identified that can serve as a foundation for the promotion of mental health in a constructive manner that not only enables young individuals to utilize and amplify their own resources, but also fortify their familial, educational, and societal surroundings.
It should be noted that most of the studies selected their participants using non-probabilistic sampling, often for convenience. This type of sampling is typically utilized by researchers when there is a restricted timeframe for conducting the investigation or when there are financial constraints hindering the execution. However, this type of sampling is accompanied by certain limitations that result in a low external validity of the findings and introduce weaknesses to the associations, as total representation of the population is not guaranteed and objectivity may be lacking (Hernández, 2014). In turn, the internal validity of 68.41 % (n = 13) of the studies included in the review, which were classified as having medium and lowvalidity,was affected by this type of sampling. Therefore, it is deemed important that for future studies from the risk approach, primary research be conducted to reduce the barriers for the execution of probabilistic sampling, ensuring greater objectivity and representativeness of the population (Araujo, 2011; Otzen & Manterola, 2017).
Similarly, the results of this review indicate that there are few
observational studies in the scientific evidence that can be
classified as having high internal and global validity according
to the criteria of the Ciapponi guide through critical reading,
due to the characteristics of the methodological designs.
Observational research of higher quality was conducted by
researchers, who were evaluated, in order to achieve greater
control over biases that may be encountered, and which are
unrelated to the limitations of various existing observational
designs. (Ciapponi, 2010). Despite the contributions of this
review, some limitations can be considered, such as the
heterogeneity of the results that prevent quantitative analysis of
the data (meta-analysis). Although an extensive search was
conducted, it is possible that scientific evidence of interest
that could contribute to the results of this review has eluded
detection.
In conclusion, the high prevalence of suicidal ideation and attempts in the young population of Latin America is frequently associated with risk factors such as cigarette consumption, psychoactive substance use, severe family dysfunction, alcohol dependence, low self-esteem, sexual abuse, bullying, depression, psychological abuse, female gender, verbal insults, academic performance, parental divorce, romantic disappointments, recent or past suicidal ideation, anxiety,family abuse, family history of suicide attempt and/or suicide, parental absence and hopelessness.
The evidence concerning protective factors is limited, and the ones that have been most extensively examined are family functionality and family support. The majority of the scientific evidence published on the topic can be categorized as having a medium level of methodological quality.
References
*Aguirre, D. , Cataño, J. , Cañón, S. , MarÍn, D. , RodrÍguez, J. , Rosero, L. , Valenzuela, L. , & Vélez, J. (2015). Suicidal risk and associated factors in adolescents from three schools in the city of Manizales (Colombia), 2013. Faculty of Medicine, 63, 45-65. http://dx.doi.org/10.15446/revfacmed.v63n3.44205
Amar, J. , Abello, L. , Abello, R. , & Acosta, C. (2003). factores protectores: un aporte investigativo desde la psicologÍa comunitaria de la salud. Psicologia desde el Caribe, 11, 107-121. https://rcientificas.uninorte.edu.co/index.php/psicologia/article/view/1744.
Andrade, C. , & GarcÍa, J. (2012). Estudio observacional del efecto del riesgo psicosocial en los puestos de trabajo sobre el personal de la Central Termoeléctrica Victoria II de Intervisatrade S.A. [Tesis doctoral o de maestrÍa, Universidad Politécnica Salesiana]. https://dspace.ups.edu.ec/handle/123456789/3639?mode=full.
álvarez, G. (2008). Limitaciones metodológicas de la epidemiologÍa moderna y una alternativa para superarlas: la epidemiologÍa sociocultural. Región y sociedad, Scielo, 20(spe2), 51-75. https://www.scielo.org.mx/scielo.php?script=sci_arttex-t&pid=S1870-9252008000400003
*álvarez, J. , Cañón, S. , Castaño, J. , Bernier, L. , Cataño, A. , Galindo, P. , Gil, L. , Malaver, J. , Robayo M. , & Sánchez, C. (2013). Suicidal risk factors and associated factors in adolescents in an educational institution in Palestina-Caldas. Archivos de Medicina, 12(2), 127-41. https://revistasum.umanizales.edu.co/ojs/index.php/archivosmedicina/article/view/153/288
*álvarez, M. , Colas, C. , Barceló, M. , Sánchez, Y. , & Fajardo, Y. (2017). Principales factores de riesgo relacionados con el intento suicida en un grupo de adolescentes. MEDISAN, 21(2), 154-160. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1029-30192017000200004
Araujo, M. (2011). Variables de un estudio. Medwave. 11(03). doi:
10.5867/medwave.2011.03.4933
Arias, E. , Morantes, L. , Montoya, W. , Betancurth D. ,
& Sánchez, N. (2021). Suicidio en adolescencia y
juventud colombiana entre 2015-2020: aporte para el
análisis disciplinar desde enfermerÍa. Hacia la
Promocion de laSalud, 26(2), 252-69. doi:
10.17151/hpsal.2021.26.2.17
Azúa, E. , Rojas , P. , & Ruiz , S. (2020). Bullying as a risk factor for depression and suicide. Chilean Pediatric Journal, 91(3), 432-439. https://dx.doi.org/10.32641/rchped.v91i3.1230
Barón, O. (2000). Adolescencia y suicidio. PsicologÍa desde el Caribe, 6, 48-69. https://www.redalyc.org/pdf/213/21300605.pdf
*Bimala, S. , Woo, E. , Yun, H. , & Koo, J. (2015). Factors Associated with Suicidal Ideation and Suicide Attempt among School-Going Urban Adolescents in Peru. Res. Public Health, 12,14842-14856. doi:10.3390/ijerph121114842
Brent, D. A. , & Mann, J. J. (2005). Family genetic studies, suicide, and suicidal behavior. Am J Med Genet C Semin Med Genet, 133C(1),13-24. Universidad del Norte. https://www.redalyc.org/articulo.oa?id=21300605
Caballero, M. , Victor, M. , Barceló, M. , Sánchez, Y. , & Fajardo, Y. (2017). Main risk factors related to suicide attempt in a group of adolescents. MEDISAN, 21 (2). http:// scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1029-30192017000200004
Caceda, R. (2014). Suicidal behavior: Risk and protective factors. Revista de Neuropsiquiatria, 77 (1). https://www.redalyc.org/articulo.oa?id=372033985002
*Cañón, S. , Castaño, J. , Arias, Y. , GarcÍa, K. , Ovalles, A. , Rengifo, V. , Torres, C. , & Zuluaga, N. (2018). Frequency of attempted suicide, and associated factors, in young students from two educational centers in the municipality of Pácora (Caldas, Colombia). Psychological Tempus, 1(1), 39-61. https://doi.org/10.30554/tempuspsi.1.1.1988.2018
*Cañón, S. , Castaño, J. , Medina, N. , Mosquera, K. , Quintero, C. , & Varon L. (2017). Characterization of suicide attempt in patients admitted to a health institution (Pereira, Colombia, 2013-2014). MedUNAB, 19.
*Cañón-Buitrago, S. C. , Castaño-Castrillón, J. J. , Garzón-González, K. N. , Orrego-Quintero, M. F. , Vásquez Diez, J. D. , Peña-Bahos, D. A. et al. (2021). Frequency of self-injurious behavior and associated factors in school adolescents. Archivos de Medicina, 21(2), 403-415. https://doi.org/10.30554/archmed.21.2.4097.2021
Carballo, J. , Akamnonu, C. , & Oquendo, M. (2008). Neurobiology of suicidal behavior. An integration of biological and clinical findings. Archives of Suicide Research, 12(2), 93-110. doi: 10.1080/13811110701857004
Ciapponi, A. (2010). Critical reading guide to observational studies in epidemiology. Evidence, 13(1),135-140. doi: 10.51987/evidencia.v14i1.6075
Cid, M. , Montes, R. , Hernández, O. (2014). La familia en el cuidado de la salud. Revista Médica Electrónica, 36(4), 462-472. https://revmedicaelectronica.sld.cu/index.php/rme/article/view/1108/html
Clayton, P. (2018). Conducta suicida. Manual MSD. University of Minnesota School of Medicine. https://www.msdmanuals.com/es-co/professional/trastornos-psiqui%C3%A1tricos/conducta-suicida-y-autoagresi%C3%B3n/conducta-suicida
Dávila, C. , & Luna, M. (2018). Intento de
suicidio en adolescentes: Factores asociados. Revista chilena de
pediatrÍa, 90(6), 606-616. doi:
https://dx.doi.org/10.32641/rchped.v90i6.1012
Del Pino Casado, R. , FrÍas Osuna, A. , & Palomino Moral, P. A. (2014). La revisión sistemática cuantitativa en enfermerÍa. Iberoamericana de EnfermerÍa Comunitaria, 7(1), 24-39. https://dialnet.unirioja.es/servlet/articulo?codigo=6336945
Echeburúa, E. (2015). Las múltiples caras del suicidio en la clÍnica psicológica. Terapia psicológica, 33(2), 117-126. https://dx.doi.org/10.4067/S0718-48082015000200006
United Nations Children’s Fund [Unicef] (2021). The State of the World’s Children 2021. Regional Summary for Latin America and the Caribbean. https://www.unicef.org/lac/media/28661/file/EMI2021-Resumen-regional-ALC.pdf
Urrutia, G. , & Bonfill, X. (2010). Declaración PRISMA: a proposal to improve the publication of systematic reviews and meta-analyses. Medicina clÍnica, 135(11), 507511. doi: 10.1016/j.medcli.2010.01.015
*Garza, R. , CastroL. , & Calderon, S. (2019). Family structure, suicidal ideation and hopelessness in adolescents. Psychology from the Caribbean, 36(2), 228-247. http:// dx.doi.org/10.14482/psdc.36.2.616.8
Giner, L. (2010). Diferencias en la conducta suicida estudio comparativo entre los intentos de suicidio y suicidio consumado [Tesis doctoral, Universidad Autónoma de Madrid]. https://repositorio.uam.es/handle/10486/5657
Hernández, R. , Fernández, C. , Baptista, M. (2014). Investigation methodology. Chapter 2: the quantitative research process. McGraw-Hill Education. https://www.icmu-jeres.gob.mx/wp-content/uploads/2020/05/Sampieri.Met.Inv.pdf
Hernández L. , Hueso, C. , Gómez, J.L. , Cogollo, Z. (2020). Prevalence and factors associated with suicidal ideation and attempt in adolescents: systematic review. Espain Public Health Journal, 94, e202009094. https://dialnet.unirioja.es/servlet/articulo?codigo=7721501
*MartÍnez Baquero, L. C. , Vianchá Pinzón, M. A. , Pérez Prada, M. P. , & Avendaño Prieto, B. L. (2017). Asociación entre conducta suicida y sÍntomas de anorexia y bulimia nerviosa en escolares de Boyacá, Colombia. Acta Colombiana de PsicologÍa, 20(2), 178-188. doi: http://www.dx.doi.org/10.14718/ACP.2017.20.2.9
*Méndez-Bustos, P. , Fuster-Villaseca, J. , Tapia, A. , & López-Castroman, J. (2022). Caracterización clÍnica, psicológica y sociofamiliar de la conducta suicida en adolescentes chilenos: análisis de correspondencias múltiples. Medwave, 22(06). http://doi.org/10.5867/medwave.2022.06.002567
Ministerio de Salud. (2018). BoletÍn de salud mental Conducta suicida Subdirección de Enfermedades No Transmisibles. Bogotá, D.C. , Colombia. https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PP/ENT/boletin-conducta-suicida. pdf
National Institute Of Mental Health. (2020). Suicide. https://www.nimh.nih.gov/health/statistics/suicide
Lardier, D. , Barrios, V. , GarcÍa-Reid, P. ,
& Reid, R. (2016). Suicidal ideation among suburban
adolescents: The influence of school bullying and other mediating
risk factors. J Child Adolescent Mental Health, 28(3), 213-31.
doi: 10.2989/17280583.2016.1262381.
Londoño Muriel, V. , & Cañón Buitrago, S. (2020). Factores de riesgo para conducta suicida en adolescentes escolarizados: revisión de tema. Archivos de Medicina, 20(2). https://doi.org/10.30554/archmed.20.2.3582
Luna Contreras, M. , & Dávila Cervantes, C. A. (2018). Adolescentes en riesgo: factores asociados con el intento de suicidio en México. Revista Gerencia y PolÍticas de Salud, 17(34), 1-12. https://doi.org/10.11144/Javeriana.rgps17-34.arfa
Otzen, T. , & Manterola, C. (2017). Técnicas de muestreo sobre una población a estudio. International Journal of Morphology, 35(1), 227-232. http://dx.doi.org/10.4067/S0717-95022017000100037
Pan American Health Organization [PAHO](2019). Suicide prevention. https://www.paho.org/es/temas/prevencion-suicidio
Pérez, A. , Carballea, M. , Valdés, L. , & Valdés, I. (2020). Intento suicida en la adolescencia: un abordaje desde la Atención Primaria Salud. Humanidades Médicas, 20(1), 66-87. http://scielo.sld.cu/scielo.php?script=sci_arttext&pid=S1727-81202020000100066
*Pérez, I. , Téllez, D. , Vélez, A. , Ibáñez, L. (2012). Characterization of factors associated with suicidal behavior in adolescent eighth grade students in three Bogota schools. Revista colombiana de psiquiatria, 41(1), 26-47. https://www.redalyc.org/pdf/806/80624093004.pdf
*Pérez Prada, M. , Martinez Baquero, L. , Vianchá Pinzón, M. , & Avendaño Prieto, B. (2017). Attempt and suicidal ideation and its association with sexual abuse in school adolescents from Boyacá-Colombia Diversitas: Perspectives in Psychology, 13(1), 91-101. https://doi.org/10.15332/s1794-9998.2017.0001.07
*Pineda Roa, C. A. (2019). Risk factors for suicidal ideation in a sample of Colombian adolescents and young people self-identified as homosexual. Rev. colomb. psy-chiatr, 48 (1), 2-9. https://doi.org/10.1016/j.rcp.2017.06.001
*Pinzón-Amado, A. , Guerrero, S. , Moreno, K. , LandÍnez, C. , & Pinzón, J. (2013). Suicidal ideation in medical students: prevalence and associated factors. Colombian Journal of Psychiatry, 42(1), 47-55. http://www.scielo.org.co/scielo.php?script=s-ci_arttext&pid=S0034-74502013000500007
Pita Fernández, S. , Vila Alonso, M. , & Carpente Montero, J. (2002). Determinación de los factores de riesgo. Unidad de Epidemiología Clínica y Bioestadística. Complexo Hospitalario Universitario de A Coruña (España), 4, 75-78. https://www.fisterra.com/formacion/metodologia-investigacion/determinacion-factores-riesgo/
Sánchez, J. (2015). El adolescente y su familia. Simposio de Medicina en el Adolescente. Diagnóstico, 54 (3). /https://moodle.uneg.edu.ve/pluginfile.php/142639/mod_re-source/content/2/05-SIMPOSIO-MEDICINA-DEL-ADOLESCENTE-EL-ADOLESCENTE-Y-SU-FAMILIA-Dr-Juan-Carlos-Lengua-Sanchez-FINAL-PDF.pdf
*Sarmiento, C. , Villalobos, J. (2011). Family and personal predictors of suicidal ideation in adolescents. Psychology and Health, 21 (1), 25-30. http://www.uv.mx/psicysa-lud/psicysalud-21-1/21-1/Carolina-Sarmiento-Silva.pdf
*Secundino, G. (2020). SÍntomas de depresión y pensamientos automáticos asociados a la ideación suicida en estudiantes de nivel medio superior [Tesis de maestrÍa, Universidad Autónoma del Estado de México].: http://ri.uaemex.mx/hand-le/20.500.11799/99332
Serrano, C. , & Olave, J. (2017). Risk factors associated with the appearance of suicidal behavior in adolescents. MedUNAB, 20(2),139-147. https://doi.org/10.29375/01237047.2272
Servicio de Andaluz de Salud. (2010). Recomendaciones sobre la detección, prevención e intervención de la conducta suicida. 109. https://www.sspa.juntadeandalucia.es/servicioandaluzdesalud/sites/default/files/sincfiles/wsas-media-pdf_pu-blicacion/2021/RecomendacionesDPI_Conducta_Suicida.pdf
*Silva, D. , Valdivia, M. , Vicente, E. , Arévalo, E. , Dapelo, R. , & Soto, C. (2017). Suicide attempt and risk factors in a sample of adolescents attending school in Chile. Journal of Psychopathology and Clinical Psychology, 22, 33-42. doi: 10.5944/rppc. vol.22.num.1.2017.16170
*Suarez, Y. , Restrepo, D. , Caballero, C. , & Palacio, J. (2018). Exposure to Violence and Suicide Risk in Colombian Adolescents. Psychological Therapy, 36(2), 101-111. http://dx.doi.org/10.4067/S0718-48082018000200101
*Valdivia, M. , Silva, D. , Sanhueza, F. , Cova, F. , Melipillán, R. (2015). Prevalence of adolescent suicide attempt and associated risk factors in a rural community in the province of Concepción. Revista Médica de Chile, 143(3), 320-328. http://dx.doi. org/10.4067/S0034-98872015000300006.
*WD, A. , SewellI, C. , Martin, J. , Davidson, J. , & Fox, K. (2012). Suicide ideation in Jamaican youth: sociodemographic prevalence, protective and risk factors. West Indian Medical Journal, 61(5), 521-5. doi: 10.7727/wimj.2011.144







