Salud mental 2024;

ISSN: 0185-3325

DOI: 10.17711/SM.0185-3325.2024.029

Received: 28 August 2023 Accepted: 9 Januar y 2024

Factors Associated with Interpersonal Violence and Depression Symptoms in Adolescent Students from Jalisco during the COVID-19 Pandemic

Evangelina Díaz Andrade1 ,2 , Rosibel Rodríguez Bolaños3 , Anabel Rojas Carmona4 ,5 , Paula Ramírez Palacios6 , Edna Arillo Santillán3 , Inti Barrientos Gutiérrez6 , Dèsirée Vidaña Pérez7 , James F. Thrasher3 ,7


1 Servicios de Salud. Región Sanitaria VI, Ciudad Guzmán, Jalisco, México.

2 Universidad de Guadalajara. CUSur. Ciudad Guzmán, Jalisco, México.

3 Instituto Nacional de Salud Pública, Centro de Investigación en Salud Poblacional, Cuernavaca, Morelos, México.

4 Universidad del Mar, Licenciatura en Enfermería, Puerto Escondido, Oaxaca, México.

5 Universidad Federal de Ceará, Facultad de Medicina, Programa de Posgraduación en Salud Pública, Fortaleza, Ceará, Brasil.

6 Instituto Nacional de Salud Pública, Centro de Investigación en Evaluación y Encuestas, Cuernavaca, Morelos, México.

7 University of South Carolina. Department of Health Promotion, Education and Behavior. Columbia, South Carolina, United States of America.

Correspondence: Rosibel Rodríguez Bolaños Avenida Universidad 655, Colonia Santa María Ahuacatitlán, CP 62100 Cuernavaca, Morelos, México. Phone: (777) 329-3000 ext. 3352 Email: rrodriguez@insp.mx


Abstract:
Introduction. Violence is a major public health problem, which increased during the Covid-19 pandemic, affecting the physical and mental development of adolescents.
Objective. To analyze factors associated with interpersonal violence and depressive symptoms in adolescent students in the south of Jalisco.
Methods. Data were drawn from an online survey of 3,046 adolescents (ages 12-19) conducted between September and December 2021. The Beck Depression Inventory was used to assess depression symptoms. Self-reports of neglect, physical, psychological, sexual, and digital violence in the previous 12 months were analyzed. Bivariate and multivariate logistic regression models explored factors associated with depression and violence.
Results. A total of 28.8% of the sample reported depression symptoms, 46.9% physical violence, 42.7% psychological violence, 34.9% neglect, 12.3% digital violence, and 5.2% sexual violence. The odds of depression were higher for those who had experienced physical violence (adjusted odds ratio [aOR] = 1.3 CI 95% [1.1-1.6]), psychological violence (aOR = 4.1 CI 95% [3.4-5.1]), digital violence (aOR = 2.0 CI 95% [1.5-2.5]); and neglect (aOR = 1.6 CI 95% [1.3-1.9]). Girls and adolescents aged 15-19 had higher odds of experiencing sexual, digital, and psychological violence. Poor school performance was associated with lower odds of reporting neglect (aOR = .6 CI 95% [.5-.8]) and sexual violence (aOR = .5 CI 95% [.3-.8]), while being employed was associated with reporting higher odds of physical violence (aOR = 1.5 CI 95% [1.3-1.8]) and neglect (aOR = 1.3 CI 95% [1.1-1.5]). Greater use of social media and videogames was associated with higher odds of physical, psychological, and digital violence.
Conclusion. It is necessary to implement comprehensive public programs and policies to address violence and implement intersectoral social intervention strategies in mental health.

Keywords: Adolescent, depression, violence, COVID-19.

Resumen:
Introducción. La violencia es un problema de salud pública de gran magnitud, que aumentó durante la pandemia de Covid-19 y tiene consecuencias en el desarrollo físico y mental de los adolescentes.
Objetivo. Analizar factores asociados de violencia interpersonal y síntomas depresivos en estudiantes adolescentes del Sur de Jalisco.
Métodos. Datos provienen de una encuesta en línea entre 3,046 adolescentes (de 12 a 19 años) realizada entre septiembre y diciembre de 2021. Se utilizó el Inventario de Beck para evaluar los síntomas depresivos. Se midieron autorreporte de negligencia, violencia física, psicológica, sexual y digital en los últimos 12 meses. Los modelos de regresión logística bivariados y multivariados exploraron factores asociados con depresión y violencia.
Resultados. El 28.8% de la muestra refirió síntomas depresivos, 46.9% violencia física, 42.7% violencia psicológica, 34.9% negligencia; 12.3% violencia digital y 5.2% violencia sexual. Las probabilidades de depresión fueron mayores para aquellos que experimentaron violencia física (Razón de Momios ajustado [RMa] = 1.3 IC 95% [1.1-1.6]), psicológica y (RMa = 4.1 IC 95% [3.4-5.1]), violencia digital (RMa = 2.0 IC 95% [1.5-2.5]); y negligencia (RMa = 1.6 IC 95% [1.3-1.9]). Ser mujer y adolescentes de 15 a 19 años tuvieron mayores probabilidades de sufrir violencia sexual, digital y psicológica. El bajo rendimiento escolar se asoció con menores probabilidades de informar negligencia (RMa = .6 IC 95% [.5-.8]) y violencia sexual (RMa = .5 IC 95% [.3-.8]), mientras que estar empleado se asoció con mayores probabilidades de violencia física (RMa = 1.5 IC 95% [1.3-1.8]) y negligencia (RMa = 1.3 IC 95% [1.1-1.5]). Un mayor uso de redes sociales y videojuegos se asoció con mayores probabilidades de violencia física, psicológica y digital.
Conclusión. Es necesario implementar programas y políticas públicas integrales que aborden la violencia e implementar estrategias intersectoriales de intervención social en salud mental.

Palabras clave: Adolescente, depresión, violencia, COVID-19.




INTRODUCTION

Violence is a global public health problem with consequences for the physical and mental development of those exposed to it. Adolescents exposed to contextual violence tend to experience challenges in their individual development such as interpersonal and social relationships, due to its physical and mental implications (Martín del Campo-Ríos & Cruz-Torres, 2020; Organización Mundial de la Salud, 2006). In addition, interpersonal violence at the family level can manifest through physical, sexual, and psychological violence, and neglect, (Organización Mundial de la Salud, 2006), also affecting the development of adolescents. Adolescents exposed to any of these types of violence tend to drop out of school, exhibit problematic behaviors, engage in substance use, and are at a higher risk of developing a wide array of mental disorders (Noriega Ruiz & Noriega Saravia, 2021). Recently, violence exerted through digital social media has been associated with depression, suicide and other mental health conditions among adolescents (Álvarez Gutiérrez & Castillo Koschnick, 2019).

As a result of COVID-19, an increase in intrafamily violence was reported, especially towards women, children and adolescents (Marques et al., 2020). Among the main risk factors found for this increase were the use of substances by the perpetrators, and work overload in women, which decreases the ability to avoid conflict (Alt et al., 2021; Holmes et al., 2020; Marques et al., 2020). In some Latin American countries, adolescents reported an increase in arguments at home (21%) (UNICEF, 2021), stress (52%), and episodes of anxiety (47%) (Naciones Unidas, 2021). In addition, there were increased reports of depression, anxiety, and post-traumatic stress, (Caffo et al., 2021; Rauschenberg et al., 2021; Zhou et al., 2020a) due to the mitigation measures for COVID-19 (SEGOB, 2020). Among adolescents, the most common disorder reported during lockdown was depression (González Rodríguez & Martínez Rubio, 2022). Studies before the pandemic associated exposure to violence with an increase in the probability of developing depression (Orozco Henao et al., 2020; Ughasoro et al., 2022)an increased risk of suicide, (Rossi et al., 2020) dropping out of school, victimization, substance abuse, (Benjet et al., 2013) and perpetration of violence (Kim et al., 2021). The latter was exacerbated as a result of the change in the personal, familial and social dynamics caused by COVID-19 (Gómez Macfarland & Sánchez Ramírez, 2020).

In Mexico, the prevalence of depression in the adolescent population increased from 13.6% in 2018 to 19.7% in 2020 (Shamah-Levy, 2021; Shamah-Levy, 2020). During the pandemic, 36.5% of adolescents between the ages of 15 and 17 reported having experienced some type of violence at home (Larrea-schiavon et al., 2021). These results showed that the prevalence for all types of violence was higher in girls than boys; 20.2% of girls and 19.9% of boys reported physical violence; 30.4% of boys and 38.9% of girls reported psychological violence; 1.1% and 3.6% of boys and girls reported sexual violence; while 43.5% of girls reported some type of online harassment compared to 24.3% of boys (Larrea-schiavon et al., 2021). Previous studies have found that some of the factors associated with being victims of violence among adolescents are being female, directly witnessing violence, and low socioeconomic status (Martín del Campo-Ríos & Cruz-Torres, 2020; Noriega Ruiz & Noriega Saravia, 2021).

Jalisco is a Mexican state where adolescents (ages 15-19) account for 28.2% of the total population, making it one of the states with the highest proportion of adolescents (UNFPA et al.,2021). Before the pandemic, 60.6% of girls and women between the ages of 15 and 29 reported having suffered some type of violence (UNFPA et al., 2021; Suarez & Menkes, 2006). In 2022, it was among the top ten states with the most femicides and reports of family violence (Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública, 2022). In a study conducted of adolescents from Ciudad Guzmán, Jalisco, 5.0% reported family violence and 12.1% severe depression (Díaz-Andrade et al., 2022) revealing the extent of this problem. The present manuscript hypothesizes that violence experienced and depressive symptoms in adolescents may be associated with sociodemographic factors (such as sex, age and job), family, use of video games and social media. This study seeks to analyze the factors associated with the types of interpersonal violence experienced and depression symptoms in adolescents attending school in the south of Jalisco, in the context of COVID-19.

METHOD

Design and study population

Data are drawn from the Mental Health, Addictions and Violence Survey-Jalisco (Spanish acronym ESMAV), administered to middle (n = 51 schools) and high school (n = 19 schools) students from 16 municipalities in southern Jalisco. ESMAV is a cross-sectional study conducted from September to December 2021. The questionnaire was administered online at the schools, with students answering it on their own computers or cell phones. A total of n = 3,215 students were invited to participate, of whom 126 and 43 failed to meet the age criteria (< 12 or )( 19 years). The final analytical sample consisted of n = 3,046 adolescents ages 12 to 19.

Measurements

Violence. We collected information on five types of violence experienced in the past 12 months: 1. Physical violence: a) have you had any type of object such as shoes, kitchen utensils, or furniture thrown at you, whether or not it hit you? b) have you been slapped anywhere on your body? c) have you been burned with an iron, the stove, a match or cigarette or any liquid or another hot object on your body? 2. Psychological violence: a) has anyone referred to you with rude or aggressive words that have made you feel bad? b) have you had been made fun of due to your physical characteristics, or your knowledge, or your way of thinking, acting and feeling? c) have you been humiliated?; 3. Sexual violence: a) have you been sexually harassed or forced to let yourself be touched or caressed against your will? b) have you been forced to have sexual intercourse against your will, without or with the use of physical force?; 4. Neglect: a) have you been tied you up to prevent you from going out or doing what you want to do? b) have you have been prevented from going to the doctor or had your state or health condition neglected when you needed care? c) have your diet, clothing, recreation or education been restricted at home? d) have you been properly taken care of? 5. Digital violence: a) have you received any type of violence or harassment through the internet/digital social media? Answering “yes” to any of the questions, except for “have you been properly taken care of ?” was regarded as having experienced violence.

Depression. We assessed depression symptoms using The Beck Depression Inventory (BDI-IA), validated (α = .92) in Mexican adolescents (Beltrán et al., 2012). BDI-IA includes 21 items on depression symptoms in the two weeks prior to the survey, with four response options. The score ranges from 0 to 63, with higher scores meaning greater severity. The cut-off point used to discriminate between those who presented with depressive symptoms and those who did not, adjusted for gender, is 14 points in boys and 18 in girls.

Covariates: We obtained sociodemographic information on sex, age (categorized as 12-14 years and 15-19 years); grade point average (< 8.0, 8-9, 9-10) being employed (Yes/No); frequency of social media use (Facebook, Twitter, Instagram, TikTok, WhatsApp, Twitch) in the past month (never/rarely /occasional/frequent/very frequent); and hours of daily use of videogames (I don’t play/ < 1 hour 1 to ≥ 5 hours per day) (Barrientos-Gutierrez et al., 2019). Parents’ educational attainment was included (complete secondary school or less/complete or incomplete high school/college degree or more/Doesn’t know/Doesn’t have a father/mother). Wealth was measured with the Family Affluence Scale (FAS) (Pérez et al., 2021), an index comprising four items: a) how many cars or vans does your family own? (0/1/2 or more), b) do you have a room to yourself? (0/1), c) during the past 12 months, how many times did you go on vacation with your family? (0/1/2/3 or more), and d) how many computers does your family have? (0/1/2/3 or more), with scores ranging from 0 to 9. Higher scores indicate greater family wealth, with scores being classified into three categories: low (0–2 points), medium (3–5 points), and high (6–9 points).

Statistical analysis

A descriptive analysis was performed to calculate the percentages for each of the categorical variables. Separate Bivariate (OR) and multivariate logistic regression models (aOR) were fitted. First, we explored whether experiencing any type of violence was associated with depression symptoms and any other of the sociodemographic variables. A second set of logistic regression models were fitted to determine the association between experiencing any of the five types of violence and depression symptoms and all the sociodemographic and family variables, including experiencing each of the five types of violence. Analyses were performed using Stata v.15 software (StataCorp LP, College Station, TX, USA). (Stata Statistical Software: Release 14; Stata Corp., 2017).

Ethical considerations

Informed consent and assent were requested prior to data collection. The protocol was approved by the Ethics Committee and Research Committee of Health Region VI of Ciudad Guzmán (103/RVI/2021).

RESULTS

In our sample, 57.4% were girls and 78.0% were ages 12-14. Results show a prevalence of 28.8% of depression, 46.9% reported physical violence, 42.7% psychological violence, 34.9% neglect, 12.3% digital violence and 5.2% sexual violence (Table 1).


view

The factors associated with higher odds of physical violence were being employed (aOR = 1.5 95% CI [1.3-1.8]) and frequent/very frequent use of social media (aOR = 1.7 95% CI [1.3-2.2]). Conversely, being a girl (aOR = .8 95% CI [.6-.9]), being 15-19 rather than 12-14 years old (aOR = .7 95% CI [.6-.9]) and having a father with a bachelor’s degree or more (aOR = .7 95% CI [.5-.9]) were associated with lower odds of experiencing physical violence (Table 2).


view

Higher odds of psychological violence were associated with being a girl (aOR = 1.9 95% CI [1.5-2.3]), being 15-19 years old (aOR = 1.3 95% CI [1.0-1.6]), frequent/very frequent use of social media (aOR = 1.4 95% CI [1.0-1.9]), using video games four hours a day (aOR = 2.1 95% CI [1.3-3.4]) and ≥ 5 hours a day (aOR = 1.6 95% CI [1.0-2.5]) (Table 2).

Higher odds of sexual violence were associated with being a girl (aOR = 3.6 95% CI [2.2-6]) and being 15-19 years old (aOR = 1.7 95% CI [1.2-2.5]). Those with a higher grade point average (aOR = .5 95% CI [.3-.8]) were less likely to experience sexual violence (Table 2).

Violence due to neglect was higher among those who reported being employed (aOR = 1.3 95% CI [1.1-1.5]), adolescents who did not know their father’s educational attainment (aOR = 1.6 95% CI [1.1-2.2]), and those who belonged to the highest tercile of the FAS (aOR = 1.7 95% CI [1.4-2.2]). However, those with a high grade point average (aOR = .6 95% CI [.5-.8]) and a mother with at least a high school education (aOR = .5 95% CI [.4-.7]) were less likely to report dropping out. Being a girl (aOR = 1.7 95% CI [1.3-2.3]), being aged between 15 and 19 (aOR = 2.0 95% CI [1.6-2.7]) and using video games ≥ 5 hours a day (aOR = 2.1 95% CI [1.3-3.5]) were associated with higher odds of digital violence (Table 2).

Being a girl (aOR = 1.7 95% CI [1.4-2.1]), being 15-19 years old (aOR = 1.5 95% CI [1.2-1.8]), not having a father (aOR = 1.54 95% CI [1.03-2.33]) and using video games ≥ 5 hours per day (aOR = 2.7 95% CI [1.7-4.1]), were associated with greater odds of depression symptoms (Table 3). Physical (aOR = 1.3 95% CI [1.1-1.6]), psychological (aOR = 4.1 95% CI [3.4-5.1]), and digital violence (aOR = 2 95% CI [1.5-2.5]) and neglect (aOR = 1.6 95% CI [1.3-1.9]) were associated with higher odds of depression symptoms (Table 3).


view

DISCUSSION AND CONCLUSION

The results of this study show the factors associated with violence and depression symptoms during the COVID-19 pandemic among the adolescent population of southern Jalisco. Experiencing any kind of violence of any type increases the possibility of having depressive symptoms. Likewise, the odds of having depression symptoms were associated with being female, being aged between 15 and 19 years old, poor school performance, and greater use of social media and videogames.

We found a higher prevalence of physical (47.0%), psychological (42.7%) and sexual violence (5.2%) than another study (Larrea-schiavon et al., 2021) conducted of Mexican adolescents in the same year. That study reported that 20.3% suffered physical, 35.0% psychological and 2.6% sexual violence. Online bullying was almost three times higher than what was reported in our study as digital violence (12.3% vs. 34.4%). An explanation for the differences between these studies could be the age range of the participants (12-19 vs. 15-18) or the way the question was framed (have you experienced online harassment?). Likewise, virtual education increased the time spent using the internet, which could have meant greater exposure to digital violence (Armitage, 2021). Our results showed that frequent and very frequent use of social media and videogames increased the probability of experiencing physical, psychological and digital violence, especially among girls, and adolescents aged between 15 and 19 years, as has been reported in other studies (Instituto Nacional de Estadística y Geografía [INEGI], 2021; Quispe et al., 2021).

Prior to the pandemic, various studies reported that for some women and their children, the home was the most dangerous place to be (ONU Mujeres, 2020; UNICEF México, 2020) while during the pandemic, several countries reported that violence against women increased, which was reflected in the number of calls to helplines and the demand for shelters, which were filled to capacity (Mlambo-Ngcuka, 2020). Factors such as increased stress, financial and food insecurity, unemployment, and restrictions on movement contributed to the increase in levels of domestic violence (Chandan et al., 2020; World Health Organization, 2020).

Our results show that adolescents with jobs experienced more physical violence and perceived that they were neglected. Due to the nature of this study, it is impossible to tell whether they sought employment after being subjected to physical violence, or whether being employed exposed them to this type of violence. However, child labor has been considered a risk factor for violence and a violation of the rights of children and adolescents, since it can prevent their physical and mental development, becoming a risk factor in their adult lives (Nova Melle, 2008). Various studies (Holt et al., 2008; Renner & Slack, 2006) state that experiencing physical violence at early stages of life has lasting effects on mental health, drug and alcohol misuse (especially in women), risky sexual behavior, obesity and criminal behavior, that persist into adulthood. Children and adolescents who do so are also at risk of reproducing abuse and other types of violence when they are adults. Neglect is at least as harmful as physical or sexual violence in the long term, but has received less scientific and public attention (Gilbert et al., 2009; Pérez Candás et al., 2018).

Neglect was also associated with not knowing the father’s educational attainment and belonging to the highest tercile of the FAS. However, participants with a high grade point average and mothers with a high school education were less likely to report neglect. It is possible that heads of households with higher incomes spend more time away from home, which in turn causes adolescent to feel abandoned and to regard this absence as a failure to appropriately take care of their needs (Lopes da Rocha, 2002). Conversely, when the mother is the primary caregiver and has higher educational attainment, she can make better decisions about the care and mental well-being of the child (Arroyo-Borrell et al., 2017). This finding about family factors is related to care, attention and the establishment of discipline. In addition, the absence of family supervision or the weakening of parental authority combined with violence as a form of communication in the family, are contributing factors to mental health disorders in the adolescent population (Rozemberg et al., 2014). Given the mental health impact and social consequences of neglect on adolescents, more research should be conducted on this issue. A systematic review (Haslam & Taylor, 2022) shows that neglect increases the risk of involvement in gangs and relationships with risky peers, which increases the social violence experienced in Mexico.

The prevalence of depression was similar to that reported prior to the pandemic. In our sample, three out of ten adolescents reported suffering from depression at the time of the survey, with systematic reviews reporting a global prevalence of 25% (González Rodríguez & Martínez Rubio, 2022). A previous study conducted of adolescents from Ciudad Guzmán, Jalisco, prior to the pandemic, (Díaz-Andrade et al., 2022) reported 25.4% with moderate depression. Other studies (Maciel-Saldierna et al., 2022; Vásquez, 2013) of schoolchildren from Jalisco report a difference in depression by sex. As has already been studied, violence can have repercussions on the loss of motivation, joy, the ability to create, to innovate, and even the desire to live (Quirós, 2007).

Studies conducted Mexico suggest that adolescent girls are more prone to family violence (Cerecero-García et al., 2020). The adolescent girls in our study were more likely to experience psychological, sexual, and digital violence than boys, as has been reported in the statistics on violence against children and adolescent women in Mexico (Álvarez Gutiérrez & Castillo Koschnick, 2019). The state of constant alertness and vigilance in the face of imminent danger experienced by female victims of violence has direct consequences at the individual, family, and community level, hence the need to deepen the analysis in a broader context.

Depression was 1.67 times more likely among adolescent girls than boys, as in other countries (Zhou et al., 2020b). These data highlight the inequality between men and women in Jalisco (Instituto Jalisciense de las Mujeres, 2015). However, it could be that women report more because it is more socially acceptable for women to talk about their feelings than it is for men. Likewise, the fact that women tend to report more emotional or psychological disorders compared to men could be due to social and economic disadvantages as other studies have reported (Gaviria Arbelaez, 2009). Among the main factors associated with depression (Duan et al., 2020; González Rodríguez & Martínez Rubio, 2022; Panchal et al., 2023) are being between 15 and 19 years old, using social media more than five hours a day and working during the pandemic. These factors reflect the prevention measures implemented during this period. The greater use of social media as a means of communication and for school activities may have hindered face-to-face interpersonal relationships, affecting all areas of adolescents’ lives, at a time when socialization with their peers is crucial (Meherali et al., 2021).

This study has certain limitations. First, our sample was drawn from schools in a region of Jalisco, meaning that results cannot be generalized to the general adolescent population. However, it provides relevant information on the factors analyzed. Violence is considered a sensitive topic, which could lead to the underreporting of data because it takes place in the family environment. However, the presence of underreporting would only lend further credence to our results. Finally, The Beck Questionnaire is a long instrument and could tire participants, causing them to answer without thinking. However, the instrument is used with and has been validated in the adolescent population (Beltrán et al., 2012).

Violence is a public health problem that should be addressed at early stages of life to guarantee the safe development of the population. The lockdown experienced during the pandemic impacted the interpersonal relationships of the adolescent population, exacerbating violence, evidencing depression problems, more frequently in girls, placing them at greater risk of experiencing depression and various types of violence. Given that the adolescent population has different risk factors, it is vital to implement specific interventions with a gender perspective to guarantee the protection of life with dignity and free of violence for adolescents.

It is also essential to adopt intersectoral social intervention strategies. We consider it necessary to address violence and depression through alliances with various social and institutional sectors (such as the education and health systems, and families) and to be able to guarantee the exercise of human rights. At the same time, the educational model for discipline or parenting within families in the south of Jalisco must guarantee the protection of life with dignity and without violence.

Funding

This publication resulted (in part) from research supported by Fogarty International Center of the National Institutes of Health under award number R01 TW010652. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflict of interest

The authors declare they have no conflicts of interest.

Acknowledgments

Thanks are due the health promoters of the Health Region, the coordinator of Social Participation and the head of Health Region VI, for their support in the field work. We would particularly like to thank the teaching staff of the middle and high schools that participated in Survey-Jalisco.

REFERENCES

Alt, P., Reim, J., & Walper, S. (2021). Fall From Grace: Increased Loneliness and Depressiveness Among Extraverted Youth During the German COVID‐19 Lockdown. Journal of Research on Adolescence, 31(3), 678-691. https://doi.org/10.1111/jora.12648

Álvarez Gutiérrez, M. G., & Castillo Koschnick, J. G. (2019). Panorama estadístico de la violencia contra niñas, niños y adolescentes en México. UNICEF, 106. Retrieved from https://www.unicef.org/mexico/media/1731/file/UNICEF PanoramaEstadistico.pdf

Armitage, R. (2021). Bullying during COVID-19: the impact on child and adolescent health. British Journal of General Practice, 71(704), 122. https://doi.org/10.3399/bjgp21X715073

Arroyo-Borrell, E., Renart, G., Saurina, C., & Saez, M. (2017). Influence maternal background has on children’s mental health. International Journal for Equity in Health, 16(1), 63. https://doi.org/10.1186/s12939-017-0559-1

Barrientos-Gutierrez, I., Lozano, P., Arillo-Santillan, E., Morello, P., Mejia, R., & Thrasher, J. F. (2019). “Technophilia”: A new risk factor for electronic cigarette use among early adolescents? Addictive Behaviors, 91, 193-200. https://doi.org/10.1016/j.addbeh.2018.09.004

Beltrán, M. del C., Freyre, M. Á., & Hernández-Guzmán, L. (2012). Thebeck Depression Inventory: Its validity in adolescent population. Terapia Psicologica, 30(1), 5-13. https://doi.org/10.4067/s0718-48082012000100001

Benjet, C., Borges, G., Medina-Mora, M. E., & Méndez, E. (2013). Chronic childhood adversity and stages of substance use involvement in adolescents. Drug and Alcohol Dependence, 131(1-2), 85-91. https://doi.org/10.1016/j.drugalcdep.2012.12.002

Caffo, E., Asta, L., & Scandroglio, F. (2021). Predictors of mental health worsening among children and adolescents during the coronavirus disease 2019 pandemic. Current Opinion in Psychiatry, 34(6), 624-630. https://doi.org/10.1097/YCO.0000000000000747

Cerecero-García, D., Macías-González, F., Arámburo-Muro, T., & Bautista-Arredondo, S. (2020). Síntomas depresivos y cobertura de diagnóstico y tratamiento de depresión en población mexicana. Salud Pública de México, 62(6), 840-845. https://doi.org/10.21149/11558

Chandan, J. S., Taylor, J., Bradbury-Jones, C., Nirantharakumar, K., Kane, E., & Bandyopadhyay, S. (2020). COVID-19: a public health approach to manage domestic violence is needed. The Lancet Public Health, 5(6), e309. https://doi.org/10.1016/S2468-2667(20)30112-2

Díaz-Andrade, E., García-Ramírez, J., López-Nava, A., Michel-Jiménez, S., & Ramos-Trujillo, E. . (2022). Depresión en adolescentes de Ciudad Guzmán, Jalisco México. Salud Jalisco, 9(2), 93-101.

Duan, L., Shao, X., Wang, Y., Huang, Y., Miao, J., Yang, X., & Zhu, G. (2020). An investigation of mental health status of children and adolescents in china during the outbreak of COVID-19. Journal of Affective Disorders, 275, 112-118. https://doi.org/10.1016/j.jad.2020.06.029

Gaviria Arbelaez, S. L. (2009). ¿Por qué las mujeres se deprimen más que los hombres? Revista Colombiana de Psiquiatría, 38(2), 316-324.

Gilbert, R., Widom, C. S., Browne, K., Fergusson, D., Webb, E., & Janson, S. (2009). Burden and consequences of child maltreatment in high-income countries. The Lancet, 373(9657), 68-81. https://doi.org/10.1016/S0140-6736(08)61706-7

Gómez Macfarland, C. A., & Sánchez Ramírez, M. C. (2020). Violencia familiar en tiempos de Covid -19. In Mirada Legislativa (Vol. 187). Retrieved from http://bibliodigitalibd.senado.gob.mx/handle/123456789/4891

González Rodríguez, P., & Martínez Rubio, V. (2022). Durante la pandemia COVID-19 las enfermedades mentales se duplicaron en los adolescentes. Evidencias en Pediatría, 18(3), 1-4. Retrieved from https://evidenciasenpediatria.es/articulo/7901/durante-la-pandemia-covid-19-las-enfermedades-mentales-se-duplicaron-en-los-adolescentes

Haslam, Z., & Taylor, E. P. (2022). The relationship between child neglect and adolescent interpersonal functioning: A systematic review. Child Abuse & Neglect, 125, 105510. https://doi.org/10.1016/j.chiabu.2022.105510

Holmes, E. A., O’Connor, R. C., Perry, V. H., Tracey, I., Wessely, S., Arseneault, L., Ballard, C., Christensen, H., Cohen Silver, R., Everall, I., Ford, T., John, A., Kabir, T., King, K., Madan, I., Michie, S., Przybylski, A. K., Shafran, R., Sweeney, A., …Bullmore, E. (2020). Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science. The Lancet Psychiatry, 7(6), 547-560. https://doi.org/10.1016/S2215-0366(20)30168-1

Holt, S., Buckley, H., & Whelan, S. (2008). The impact of exposure to domestic violence on children and young people: A review of the literature. Child Abuse & Neglect, 32(8), 797-810. https://doi.org/10.1016/j.chiabu.2008.02.004

Instituto Jalisciense de las Mujeres. (2015). Diagnóstico de Percepción sobre Derechos Humanos de las Mujeres e Igualdad de Género en la vida social, política, laboral y familiar. Retrieved from https://juntxs.jalisco.mx/sites/default/files/paginas/archivos/resultados_encuesta_percepcion_dhm_ijm.pdf

Instituto Nacional de Estadística y Geografía [INEGI]. (2021). Encuesta Nacional sobre la Dinámica de las Relaciones en los Hogares| ENDIREH 2021: Principales Resultados. Retrieved from https://www.inegi.org.mx/contenidos/programas/endireh/2021/doc/endireh2021_presentacion_ejecutiva.pdf

Kim, J., Cardwell, S. M., & Lee, Y. (2021). Early Onset Delinquency and Violent Delinquency in Adolescence: The Role of Abusive Parents and Delinquent Peer Associations. Crime & Delinquency, 69(6-7), 1183-1208. https://doi.org/10.1177/00111287211057861

Larrea-schiavon, S., López-Lalinde, L., Vieitez Martínez, I., Regules, R., Gutiérrez, J. P., Nevárez, R., Mac Gregor, C., López, P., Haberland, N., & Ngo T. (2021). Resultados del estudio sobre violencia en la era COVID-19 (VoCes-19): Línea base reporte. Mexico: Population Council. Retrieved from https://knowledgecommons.popcouncil.org/departments_sbsr-pgy/1523/

Lopes da Rocha, M. (2002). Capítulo 2 - Contexto do adolescente. In M. de L. Jeffery Contini, S. Helena Koller, & M. N. dos Santos Barros (Eds.). Adolescência e psicologia: concepções, práticas e reflexões críticas (Primera). Conselho Federal de Psicologia. Retrieved from http://site.cfp.org.br/wp-content/uploads/2008/01/adolescencia1.pdf

Maciel-Saldierna, M., Elizondo-Hernández, E., Cervantes-Guevara, G., Cervantes-Pérez, E., Cervantes-Cardona, G. A., Guzmán-Ramírez, B. G., Brancaccio-Pérez, I. V., Chejfec-Ciociano, J. M., Guzmán-Ruvalcaba, M. J., Cifuentes-Andrade, L. R., Cueto-Valadez, A. E., Cueto-Valadez, T. A., Ibarra-Camargo, S. A., Mellado-Tellez, M. P., Barbosa-Camacho, F. J., Fuentes-Orozco, C., & González-Ojeda, A. (2022). Prevalence of Depression, Anxiety, and Stress in Junior High School Students in Guadalajara, Mexico: A Cross-Sectional Survey Study. International Journal of Environmental Research and Public Health, 19(23), 15463. https://doi.org/10.3390/ijerph192315463

Marques, E. S., de Moraes, C. L., Hasselmann, M. H., Deslandes, S. F., & Reichenheim, M. E. (2020). Violence against women, children, and adolescents duringthe COVID-19 pandemic: overview, contributing factors, and mitigating measures. Cadernos de Saúde Pública, 36(4), e00074420. https://doi.org/10.1590/0102-311X00074420

Martín del Campo-Ríos, J., & Cruz-Torres, C. E. (2020). Contextual violence and its link to social aggression: a study of community violence in Juárez. PeerJ, 8, e9162. https://doi.org/10.7717/peerj.9162

Meherali, S., Punjani, N., Louie-Poon, S., Rahim, K. A., Das, J. K., Salam, R. A., & Lassi, Z. S. (2021). Mental Health of Children and Adolescents Amidst COVID-19 and Past Pandemics: A Rapid Systematic Review. International Journal of Environmental Research and Public Health, 18(7), 3432. https://doi.org/10.3390/ijerph18073432

Mlambo-Ngcuka, P. (2020). Violence against women and girls: the shadow pandemic. UN Women. Retrieved from https://www.unwomen.org/en/news/stories/2020/4/statement-ed-phumzile-violence-against-women-during-pandemic

Naciones Unidas. (2021). Encuesta de las Naciones Unidas sobre Juventudes de América Latina y el Caribe dentro del Contexto de la Pandemia del COVID-19. Retrieved from https://www.cepal.org/es/publicaciones/46990-encuesta-naciones-unidas-juventudes-america-latina-caribe-dentro-contexto-la

Noriega Ruiz, A. J., & Noriega Saravia, S. S. (2021). La violencia intrafamiliar en el proceso de formación de los menores en Cartagena y sus repercusiones sociales. Saber, Ciencia y Libertad, 16(2). https://doi.org/10.18041/2382-3240/saber.2021v16n2.7752

Nova Melle, P. (2008). Trabajo infantil: los riesgos laborales en situaciones legalmente prohibidas y sus consecuencias para la salud y seguridad. Medicina y Seguridad del Trabajo, 54(213), 9-21. https://doi.org/10.4321/S0465-546X2008000400002

ONU Mujeres. (2020). El progreso de las mujeres en el mundo 2019-2020. Familias en un mundo cambiante. Retrieved from https://www.unwomen.org/es/digital-library/publications/2019/06/progress-of-the-worlds-women-2019-2020

Organización Mundial de la Salud. (2006). Prevención de la violencia. Guía para aplicar las recomendaciones del informe mundial sobre la violencia y la salud. Organización Mundial de la Salud.

Orozco Henao, E. A., Marín Díaz, B. A., & Zuluaga Valencia, J. B. (2020). Depresión Infanto-Juvenil y exposición temprana a la violencia. Revista Iberoamericana de Psicología, 13(3), 163-176. https://doi.org/10.33881/2027-1786.rip.13310

Panchal, U., Salazar de Pablo, G., Franco, M., Moreno, C., Parellada, M., Arango, C., & Fusar-Poli, P. (2023). The impact of COVID-19 lockdown on child and adolescent mental health: systematic review. European Child & Adolescent Psychiatry, 32(7), 1151-1177. https://doi.org/10.1007/s00787-021-01856-w

Pérez Candás, J. I., Ordoñez Alonso, M. A., & Amador Tejón, V. (2018). Maltrato infantil por negligencia. Formación Activa en Pediatría de Atención Primaria, 11(1), 25-36. Retrieved from www.fapap.es

Pérez, A., Thrasher, J., Monzón, J. C., Arillo-Santillán, E., Barnoya, J., & Mejía, R. (2021). La escala de afluencia familiar en la investigación sobre inequidades sociales en salud en adolescentes latinoamericanos. Salud Pública de México, 63(2), 201-210. https://doi.org/10.21149/11793

Quirós, E. (2007). El impacto de la violencia intrafamiliar: transitando de la desesperanza a la recuperación del derecho a vivir libres de violencia. Perspectivas Psicológicas, 3-4, 155-163.

Quispe, A., Collette, C., Gomez, S., & Cecilia, I. (2021). Ciberbullying y depresión en estudiantes de secundaria de Lima Metropolitana. Repositorio Institucional - Universidad César Vallejo. Retrieved from https://repositorio.ucv.edu.pe/handle/20.500.12692/75223

Rauschenberg, C., Schick, A., Goetzl, C., Roehr, S., Riedel-Heller, S. G., Koppe, G., Durstewitz, D., Krumm, S., & Reininghaus, U. (2021). Social isolation, mental health, and use of digital interventions in youth during the COVID-19 pandemic: A nationally representative survey. European Psychiatry, 64(1), e20. https://doi.org/10.1192/j.eurpsy.2021.17

Renner, L. M., & Slack, K. S. (2006). Intimate partner violence and child maltreatment: Understanding intra- and intergenerational connections. Child Abuse & Neglect, 30(6), 599-617. https://doi.org/10.1016/j.chiabu.2005.12.005

Rossi, R., Talevi, D., Gregori, E., Quarta, E., Lucaselli, A., & Pacitti, F. (2020). Early interpersonal violence mediates the effect of family history of mental disorder on suicide attempts in a non-clinical sample. Rivista Di Psichiatria, 55(1), 37-40. https://doi.org/10.1708/3301.32717

Rozemberg, L., Avanci, J., Schenker, M., & Pires, T. (2014). Resiliência, gênero e família na adolescência. Ciência & Saúde Coletiva, 19(3), 673-684. https://doi.org/10.1590/1413-81232014193.21902013

Secretariado Ejecutivo del Sistema Nacional de Seguridad Pública. (2022). Información sobre violencia contra las mujeres. Retrieved from http://secretariadoejecutivo.gob.mx/docs/pdfs/nueva-metodologia/Info_violencia_contra_mujeres_DIC2018.pdf

SEGOB. (2020). Acuerdo por el que se Establecen Acciones Extraordinarias para Atender la Emergencia Sanitaria Generada por el Virus SARS-CoV2. Diario Oficial de La Federación. Retrieved from https://dof.gob.mx/nota_detalle.php?codigo=5590914&fecha=31/03/2020#gsc.tab=0

Shamah-Levy, T., Romero-Martínez, M., Barrientos-Gutiérrez, T., Cuevas-Nasu, L., Bautista-Arredondo, S, Colchero, M. A., Gaona- Pineda, E. B., Lazcano-Ponce, E., Martínez-Barnetche, J., Alpuche-Arana, C, R.-D. J. (2021). Encuesta Nacional de Salud y Nutrición 2020 sobre Covid-19. Resultados nacionales (1a Ed.). México: Instituto Nacional de Salud Pública.

Shamah-Levy, T., Vielma-Orozco, E., Heredia-Hernández, O., Romero-Martínez, M., Mojica-Cuevas, J., Cuevas-Nasu, L., Santaella-Castell, J. A., & Rivera-Domarco, J. (2020). Encuesta Nacional de Salud y Nutrición 2018-2019: Resultados Nacionales (1a Ed.). Instituto Nacional de Salud Pública. Retrieved from https://ensanut.insp.mx/encuestas/ensanut2018/doctos/informes/ensanut_2018_informe_final.pdf

Stata Corp. (2017). Stata Statistical Software: Release 14. StataCorp.

Suarez, L., & Menkes, C. (2006). Violencia familiar ejercida en contra de los adolescentes mexicanos. Revista de Saúde Pública, 40(4), 611-609.

Ughasoro, M. D., Onukwuli, V. O., Onwujekwe, O. E., Uzochukwu, B. S. C., Ebenso, B., Okoli, C. C., & Achor, C. F. (2022). Violence and mental health among adolescents in South East Nigeria. Nigerian Journal of Medicine, 31(2), 156-162. https://doi.org/10.4103/NJM.NJM_133_21

UNFPA, CONAPO, & IMJUVE. (2021). Situación de las personas adolescentes y jóvenes de Jalisco. Información oportuna para la toma de decisiones.

UNICEF México. (2020). Protección de la niñez ante la violencia. Respuestas durante y después de COVID-19. Nota técnica.

UNICEF. (2021). La juventud opina sobre violencia durante la pandemia de la COVID-19. UNICEF. Retrieved from https://www.unicef.org/lac/la-juventud-opina-sobre-violencia-durante-la-pandemia-de-la-covid-19

Vásquez, A. (2013). Depresión.Diferencia de género. Multimed, 17(3), 1-21.

World Health Organization [WHO]. (2020). Joint Leaders’ statement - Violence against children: A hidden crisis of the COVID-19 pandemic. Retrieved from https://www.who.int/news-room/detail/08-04-2020-joint-leader-s-statement---violence-against-children-a-hidden-crisis-of-the-covid-19-pandemic

Zhou, J., Yuan, X., Qi, H., Liu, R., Li, Y., Huang, H., Chen, X., & Wang, G. (2020a). Prevalence of depression and its correlative factors among female adolescents in China during the coronavirus disease 2019 outbreak. Globalization and Health, 16(1), 69. https://doi.org/10.1186/s12992-020-00601-3

Zhou, S.-J., Zhang, L.-G., Wang, L.-L., Guo, Z.-C., Wang, J.-Q., Chen, J.-C., Liu, M., Chen, X., & Chen, J.-X. (2020b). Prevalence and socio-demographic correlates of psychological health problems in Chinese adolescents during the outbreak of COVID-19. European Child & Adolescent Psychiatry, 29(6), 749-758. https://doi.org/10.1007/s00787-020-01541-4