Mental health and adolescent well-being are central elements of healthy development. Although these concepts are two sides of the same coin, the relationship between them has not been studied extensively, particularly considering the gender variable. The objective of this study was to compare the levels of subjective well-being and risk of psychopathology by gender in a sample of 838 Chilean adolescents (46.7% off women, mean age of 15.50 years, SD = 0.96), as well as to determine the relationship between these two variables. The study was non-experimental, cross-sectional, and correlational. Mean comparison analyzes were carried out to determine in which domains of subjective well-being and psychopathology statistically significant gender differences were present. In addition, multiple linear regression analyzes were carried out (for the complete sample and for the subsamples of male and female adolescents), considering the domains of subjective well-being as independent variables and a general psychopathology factor as the dependent variable, with the objective of identify which specific domains of subjective well-being were associated with psychopathology for each group. The results show that women have a higher risk of psychopathology and lower levels of subjective well-being, these differences being statistically significant in most of the dimensions evaluated (p-value < .05). For male adolescents, the domains of subjective well-being that were statistically significantly related (p-value < .05) to the risk of psychopathology were satisfaction with “your life in school” (Beta std. = -.24), “how confident you feel in your current life” (Beta std. = -.18) and “how confident you feel about yourself” (Beta std. = -.18), in this order of importance. Likewise for the adolescent women these domains were satisfaction with “how confident you feel about yourself” (Beta std. = -.21) and “your personal health” (Beta std. = -.12). It is concluded that gender differences in psychopathology and subjective well-being constitute an important gap, which must be addressed by interventions and public policies.
Adolescence is a critical stage of formation and development, that is characterized by a great variety of biological, psychological, and social changes (
The research by
Mental health is defined as the ability to achieve and maintain a level of optimal well-being and psychological and social functioning. It integrates positive and negative indicators (
Like many other phenomena that involve biological, psychological, and social variables, the phenomenon of mental health exhibits important gender differences. For example, for unipolar depressive disorders, which increase their incidence during adolescence (
In the case of male adolescents, several studies have shown a higher prevalence of behavioral disorders, such as aggresion, delinquent behavior, justification of violence beliefs and impulsivity (
A concept closely related to mental health, as well as general health, and personal and social development of people, is well-being (
This difference in experiences around both mental health and SWB, at the gender level, implies a need to take this variable into account. This, because at the moment of understanding and intervening in the causes and possible solutions of both variables, we will find a gender difference that, when analyzed separately, will allow us to generate interventions, either at the school or public policies level, which may be more effective according to the focus group. Despite the realization of these studies, it is clear that the issue of SWB in adolescents, even at the international level, is still an emerging field of research that lacks investigation and needs to be developed (
Considering the importance of the above and the lack of studies that take account of the relationship between mental health and SWB in adolescents, the need to deepen the investigation of both concepts is evident, especially regarding their association, determining, for example, which domains of life affect in a more determinant way the mental health of this population. In addition, although both men and women are affected by social expectations and norms based on gender (
The present study has three objectives. The first consists of estimating the risk of presence of various psychopathological disorders in male and female students of the third and fourth year of high school, in order to gain an understanding of the proportion of adolescents that are affected by this type of problems. The hypothesis associated with this objective is that the proportion of adolescents at risk of psychopathology will be related to the proportion of psychopathology reported by previous international studies.
The second objective is to compare the levels of SWB in different domains of life and the levels of symptoms present for different dimensions of psychopathology among male and female adolescents, in order to establish the differences by gender among the adolescents in the sample. The hypothesis associated with this objective is that female adolescents will present higher rates of anxiety disorders and mood disorders, while male adolescents will present higher rates in the case of conduct disorder, as reported by previous studies.
The third objective is to determine which domains of subjective well-being are associated with the risk of general psychopathology of adolescents in general, and by gender, in order to identify relevant domains in common and gender-specific that are relevant to mental health. The hypothesis associated with this objective is, in the case of male adolescents, satisfaction with their life at school is the one most associated with mental health within the domains of their life, while in the case of adolescent’s women this would be the domain of self-confidence. This is supported by the idea that self-confidence and therefore self-esteem, is a crucial point for adolescent females regarding to their mental health as they report lower self-esteem than male adolescents (
Although gender gaps in subjective well-being and psychopathology are known, the novelty and relevance of this study lies in identifying which specific domains of subjective well-being are associated with psychopathology in guys and girls. In this way, we will be able to better understand this phenomenon in adolescence and have inputs that allow us to develop more specific interventions (according to gender), focusing on the use of resources.
The sample consisted of 838 students in their third and fourth years of high school in the Chilean educational system, in the urban area of the Metropolitan Region of Chile (MR). Although the age range of adolescence is usually considered between 12 and 18 years old, only these levels of the school system were considered (where adolescents are usually between 14 and 16 years old) due to the ease of access to them (the lower levels required a greater amount of permission to apply the instrument and the higher levels showed less willingness to participate in the study because they were preparing for the secondary school leaving exams).The sampling method consisted of a probabilistic and two-stage design, where the first-level units were schools and the final level units were the third and fourth years of secondary school. The sampling frame were schools of the urban area of the MR, present in the 2017 Registration Table of the Ministry of Education of Chile, which lists all the schools in the country. Men corresponded to 53.3% of the sample while 46.7% corresponded to women, with an mean age of 15.50 years (SD = 0.96). Six municipal schools (30.0%), twelve subsidized private schools (60.0%), and two paid private schools (10.0%) were considered.
Grade
Men
Women
Third year of secondary
191
132
Fourth year of secondary
256
259
Type of school
Men
Women
Municipal schools
113
96
Subsidized private schools
305
298
Paid private schools
29
6
Youth's Inventory-4 (YI-4) is a self-report questionnaire developed to be applied in adolescent samples (12–18 years), with 128 closed self-report question items that refer to symptoms of 18 diagnostic categories of emotional and behavioral disorders, based on the Diagnostic and Statistical Manual of Mental Disorders IV (
The only dimensions of the instrument used in this study were the ones relating to: ADHD, considering its three subcategories, predominantly inattentive (ADHD-I), predominantly hyperactive/impulsive (ADHD-H/I) and combined (ADHD-C); anxiety disorders, split into a category for generalized anxiety disorder and separate items related to symptoms of other anxiety disorders (which includes symptomatology related to specific phobias, panic attacks, obsessions, compulsions, traumatic events, motor tics, vocal tics, somatization disorder, social phobia and separation anxiety); mood disorders, split into two subcategories, major depressive disorder and dysthymic disorder; behavioral disorder; oppositional defiant disorder; and use of substances. The original scale has good psychometric properties in terms of construct validity, content validity (correspondence with clinical diagnoses), and reliability as well. Internal consistency of the dimensions evaluated in this study varied between acceptable and good (see
Dimension
Cronbach’s Alpha
N° of Elements
ADHD-I
.80
9
ADHD-HI
.77
9
ADHD-C
.86
18
Conduct Disorder
.85
15
Oppositional Defiant Disorder
.79
8
Generalized Anxiety Disorder
.77
8
Other Anxiety Disorders
.80
17
Major Depressive Disorder
.79
11
Dysthymia Disorder
.86
10
Use of Substances
.76
6
General Factor of Psychopathology
.93
90a
In order to analyze the relationship of the other variables of the study with risk of general psychopathology, a General Factor of Psychopathology was constructed, and then extracted through an EFA from all the items of the instrument. The total set of items showed high reliability (Cronbach's Alpha = .93).
The PWI-SC9 scale is formed by nine closed self-report questions, which assess satisfaction with nine domains of life. Respondents were asked to answer the question “how satisfied are you with…?” completed with the following items, and rate them using an 11-point Likert scale: (1) the things you have; (2) the things you want to be good at; (3) your personal health; (4) how confident you feel in your current life (in general); (5) how confident you feel about yourself; (6) your relationships with other people, in general; (7) what may happen later in your life; (8) your life in school or high school; (9) how you use your time. To answer the questions on this scale, participants were asked to think about the past two weeks. Items are averaged to obtain the total score of PWI-SC9, which represents overall personal satisfaction.
The instrument, which included the scales presented in this article, as well as other scales, was applied through a self-report questionnaire during the 2017 school period, during the regular class schedule. The students, their parents, and the managers of the establishments were duly informed of the objectives of the study, and they were asked to sign an informed consent in the case of agreeing to participate. They were also informed about the confidentiality with which the collected data would be treated, as well as about the rights of the students regarding their participation, indicating that they could leave the study at any time, without prejudice. The study was approved by the ethics committee of [BLINDED] according to resolution 15/2017 of the year 2017.
Schools randomly selected to be part of the study were contacted by telephone. Only 8% of the schools contacted agreed to participate in the study. The instrument was applied during regular school hours in paper format. A previously trained group, who carried out the process under standardized conditions, developed the measurements. The students were consulted in the permanent presence of a teacher, completing the questionnaires in an optimal classroom environment, with the help of researchers. Once all the surveys were applied, a team of assistants digitized them.
First, an estimation was made based on the sample of the percentage of the population of first and second years of secondary school students of the MR who scored within the risk range of each disorder described. For this purpose, it was weighted by gender and by type of dependence of the schools, in order to adjust the percentages of the sample to population parameters. In this part, only the categories corresponding to disorders were considered, leaving out the mono-item categories that referred to only one symptom, in order not to overestimate the general prevalence of disorders. Next, comparisons were made of the scores obtained in the scale of SWB (and each of its dimensions), and the scores obtained in each psychopathological dimension (including mono-items referring to symptoms) by gender. For this, Student’s t-tests were performed for independent samples with the purpose of determining in each case if the differences were statistically significant. Then, Pearson’s correlation coefficient was calculated to determine if there were any correlations between the dimensions of psychopathology and the domains of SWB. Finally, a multiple linear regression analysis was performed for the total sample and for each gender, where the different SWB domains were considered as independent variables and the General Factor of Psychopathology as a dependent variable. All statistical analyses were carried out using the IBM-SPSS v.24 software
Disorder
Total
Men
Women
ADHD-I
8.6%
7.9%
8.8%
ADHD-HI
2.6%
3.0%
2.1%
ADHD-C
3.0%
2.8%
3.0%
Conduct Disorder
10.8%
14.4%
6.7%
Oppositional Defiant Disorder
12.6%
11.4%
13.3%
Generalized Axiety Disorder
15.5%
8.8%
21.4%
Major Depressive Disorder
15.3%
8.6%
21.2%
Dysthymia Disorder
8.1%
6.7%
9.1%
Use of Substances
12.8%
14.4%
10.5%
A disorder at least
48.7%
45.6%
49.5%
Comorbidity
28.1%
25.1%
29.8%
Media (DT)
Levene test
T test to independent samplesa
Total (N=838)
Men (n=447)
Women (n=391)
F (gl)
p-value
t (gl)
p-value
Adjusted p-value*
Mean differences
ADHD-I
10.49 (4.58)
9.98 (4.54)
11.08 (4.57)
0.21 (836)
.65
-3.51 (836)
< .001
<.01
-1.11
ADHD-HI
7.58 (4.60)
7.42 (4.52)
7.76 (4.7)
0.06 (836)
.80
-1.07 (836)
.29
5,70
-0.34
ADHD-C
18.07 (8.13)
17.39 (8.04)
18.84 (8.17)
0.15 (836)
.70
-2.58 (836)
< .05
0,20
-1.45
Conduct Disorder
2.15 (3.70)
2.51 (3.66)
1.74 (3.69)
4.63 (836)
< .05
3.00 (819.45)
< .01
0,06
0.76
Oppositional Defiant Disorder
6.30 (4.00)
6.00 (3.98)
6.65 (3.99)
0.81 (836)
.37
-2.37 (836)
< .05
0,36
-0.65
Generalized Anxiety Disorder
9.72 (4.56)
8.60 (4.14)
10.99 (4.69)
5.86 (836)
< .05
-7.77 (784.35)
< .001
<.001
-2.39
Symptoms of Specific Phobia
0.84 (0.90)
0.59 (0.71)
1.13 (1,00)
28.06 (836)
< .001
-8.78 (691.10)
< .001
<.001
-0.54
Panic Attack
0.69 (0.88)
0.49 (0.75)
0.92 (0.95)
16.59 (836)
< .001
-7.12 (735.98)
< .001
<.001
-0.43
Obsessions
1.26 (1.00)
1.04 (0.96)
1.50 (0.98)
9.37 (836)
< .001
-6.80 (816.64)
< .001
<.001
-0.46
Compulsions
1.01 (0.98)
1.06 (0.97)
0.95 (0.99)
0.04 (836)
.83
1.61 (836)
.11
2,17
0.11
Traumatic Events
2.34 (1.74)
1.87 (1.60)
2.88 (1.74)
10.89 (836)
< .001
-8.64 (798.74)
< .001
<.001
-1.00
Motor Tics
0.86 (0.97)
0.81 (0.96)
0.91 (0.98)
0,00 (836)
.99
-1.46 (836)
.14
2,87
-0.10
Vocal Tics
0.41 (0.68)
0.44 (0.71)
0.37 (0.66)
4.07 (836)
< .05
1.58 (832.59)
.11
2,27
0.07
Somatic Symptom Disorder
2.36 (1.29)
2.25 (1.22)
2.48 (1.35)
7.62 (836)
< .05
-2.52 (791)
<.05
0,24
-0.23
Symptoms of Social Phobia
2.20 (1.74)
2.06 (1.69)
2.35 (1.80)
3.78 (836)
.05
-2.41 (836)
< .05
0,33
-0.29
Symptoms of Separation Anxiety Disorder
2.81 (2.24)
2.39 (1.93)
3.28 (2.47)
21.50 (836)
< .001
-5.77 (734.13)
< .001
<.001
-0.89
Major Depression
9.18 (4.57)
7.95 (4.08)
10.59 (4.7)
9.76 (836)
<.001
-8.63 (778.12)
<.001
<.001
-2.64
Dysthymia
9.61 (5.25)
8.11 (4.66)
11.33 (5.36)
11.13 (836)
<.001
-9.22 (778.63)
<.001
<.001
-3.22
Use of Substances
0.95 (1.73)
0.93 (1.79)
0.97 (1.67)
1.27 (836)
.26
-0.28 (836)
.78
15,55
-0.03
General Factor of Psychopathology
0.00 (1.00)
-0.21 (0.93)
0.23 (1.03)
4.22 (836)
<.05
-6.46 (790.46)
<.001
<.001
-0.44
a Equal variances (or not) were assumed according to the significance of the Levene Test (p-value < .05) *Adjustment of the significance level: consider the original p-value multiplied by 20 (because 20 comparisons were made).
Satisfaction with…
Media (DT)
Levene Test
T test to independent samplesa
Total (N=838)
Men (n=447)
Women (n=391)
F (gl)
p-value
t (gl)
p-value
Adjusted p-value*
Mean differences
“The things you have” PWI-SC9_1
8.04 (2.26)
8.07 (2.25)
8.00 (2.28)
.36 (836)
.55
0.41 (836)
.68
6,81
0.07
“Things you want to be good at” PWI-SC9_2
6.70 (2.45)
6.93 (2.42)
6.45 (2.46)
.98 (836)
.16
2.85 (836)
<.01
<.05
0.48
“Your personal health” PWI-SC9_3
6.68 (2.71)
7.04 (2.59)
6.26 (2.79)
.71 (836)
.05
4.17 (836)
<.001
<.001
0.78
“How confident you feel in your current life (in general)” PWI-SC9_4
6.93 (2.70)
7.34 (2.58)
6.46 (2.76)
.76 (836)
.10
4.82 (836)
<.001
<.001
0.88
“How confident you feel about yourself” PWI-SC9_5
6.39 (3.01)
7.16 (2.77)
5.51 (3.03)
.86 (836)
.09
8.22 (836)
<.001
<.001
1.65
“Your relationships with other people (in general)” PWI-SC9_6
7.02 (2.63)
7.34 (2.58)
6.66 (2.65)
.81 (836)
.37
3.74 (836)
<.001
<.01
0.68
“What may happen later in your life” PWI-SC9_7
6.89 (2.54)
7.10 (2.57)
6.66 (2.50)
.08 (836)
.78
2.45 (836)
<.05
0,14
0.44
“Your life in school or high school” PWI-SC9_8
6.56 (2.79)
6.77 (2.76)
6.33 (2.81)
.49 (836)
.48
2.28 (836)
<.05
0,23
0.44
“How you use your time” PWI-SC9_9
6.13 (2.86)
6.41 (2.77)
5.81 (2.93)
.26 (836)
.61
3.05 (836)
<.01
<.05
0.60
PWI-SC9 Total
6.82 (1.95)
7.13 (1.90)
6.46 (1.94)
.74 (836)
,39
5.02 (836)
<.001
<.001
0.67
a Equal variances (or not) were assumed according to the significance of the Levene Test (p-value < .05) *Adjustment of the significance level: consider the original p-value multiplied by 10 (because 10 comparisons were made).
PWI-SC9_1
PWI-SC9_2
PWI-SC9_3
PWI-SC9_4
PWI-SC9_5
PWI-SC9_6
PWI-SC9_7
PWI-SC9_8
PWI-SC9_9
PWI-SC9 Total
ADHD-I
-.12**
-.29**
-.25**
-.30**
-.31**
-.20**
-.32**
-.32**
-.30**
-.37**
ADHD-HI
-.01
-.14**
-.15**
-.16**
-.17**
-.12**
-.16**
-.19**
-.16**
-.19**
ADHD-C
.08*
-.24**
-.23**
-.26**
-.27**
-.18**
-.27**
-.29**
-.26**
-.32**
Conduct Disorder
-.19**
-.13**
-.12**
-.12**
-.06
-.06
-.10**
-.18**
-.07*
-.15**
Oppositional Defiant Disorder
.15**
-.19**
-.20**
-.26**
-.24**
-.20**
-.24**
-.29**
-.19**
-.30**
Generalized Anxiety Disorder
-.16**
-.28**
-.32**
-.39**
-.46**
-.35**
-.30**
-.35**
-.32**
-.45**
Specific Phobia Symptoms
-.06
-.11**
-.15**
-.20**
-.28**
-.19**
-.17**
-.17**
-.15**
-.23**
Panic Attack
-.08*
-.13**
-.16**
-.24**
-.27**
-.19**
-.17**
-.18**
-.10**
-.23**
Obsessions
-.10**
-.23**
-.25**
-.36**
-.42**
-.29**
-.27**
-.30**
-.21**
-.37**
Compulsions
-.02
-.07
-.05
-.09*
-.10**
-.08*
-.07
-.04
-.03
-.08*
Traumatic Events
-.13**
-.21**
-.25**
-.36**
-.38**
-.27**
-.24**
-.30**
-.23**
-.37**
Motor Tics
-.03
-.07*
-.06
-.13**
-.15**
-.09*
-.12**
-.07*
-.03
-.12**
Vocal Tics
-.01
-.09**
-.07*
-.08*
-.10**
-.10**
-.08*
-.03
-.05
-.09**
Somatic Symptom Disorder
.00
.02
-.05
-.04
-.01
.02
.03
.02
.03
.00
Social Phobia Symptoms
-.07*
-.13**
-.12**
-.21**
-.32**
-.31**
-.21**
-.15**
-.22**
-.27**
Symptoms of Separation Anxiety Disorder
-.01
-.05
-.11**
-.14**
-.16**
-.11**
-.07*
-.09*
-.09*
-.13**
Major Depression
-.20**
-.33**
-.35**
-.43**
-.52**
-.36**
-.41**
-.39**
-.37**
-.52**
Dysthymia
-.21**
-.40**
-.39**
-.49**
-.59**
-.42**
-.43**
-.44**
-.39**
-.58**
Use of Substances
-.05
-.05
-.06
-.07*
-.04
.03
-.07*
-.09**
-.01
-.06
General Factor general of Psychopathology
-.21**
-.34**
-.35**
-.44**
-.47**
-.35**
-.38**
-.41**
-.34**
-.51**
*p-value < .05; **p-value < 0.01.
Finally,
Dependent variable: General Factor of Psychopathology
Global (N = 838)
Men (n = 447)
Women (n = 391)
Beta std.
t
p-value
Beta std.
t
p-value
Beta std.
t
p-value
Constant
-
11.79
<.001
-
7.79
<.001
-
8.68
<.001
“The things you have” PWI-SC9_1
.06
1.69
.09
.06
1.26
.21
04
0.68
.50
“Things you want to be good at” PWI-SC9_2
-.05
-1.28
.20
-.08
-1.53
.13
-.02
-0.33
.74
“Your personal health” PWI-SC9_3
-.06
-1.47
.14
.03
0.52
.60
-.12
-2.26
<.05
“How confident you feel in your current life (in general)” PWI-SC9_4
-.13
-2.77
<.01
-.18
-2.73
<.01
-.10
-1.41
.16
“How confident you feel about yourself” PWI-SC9_5
-.24
-5.24
<.001
-.18
-2.86
<.01
-.21
-3.10
<.01
“Your relationships with other people (in general)” PWI-SC9_6
.04
0.94
.35
.05
0.86
.39
.01
0.17
.87
“What may happen later in your life” PWI-SC9_7
-.04
-0.90
.37
-.01
-0.11
.91
-.11
-1.74
.08
“Your life in school or high school” PWI-SC9_8
-.15
-3.86
<.001
-.24
-4.56
<.001
-.06
-0.89
.37
“How you use your time” PWI-SC9_9
-.08
-2.23
<.05
-.08
-1.56
.12
-.08
-1.42
.16
R2 adjusted
.28
.27
.25
Sig. Model
<.001
<.001
<.001
The results that refer to the first objective of the study (and to the first hypothesis) are in line with those of
Considering the second objective of this study (and the second hypothesis), the results found in this study show that there are statistically significant gender differences between the means of 10 of the 20 psychopathology dimensions evaluated. Women obtained a higher score in all dimensions that presented statistically significant differences. These gender differences are consistent with those reported by previous research conducted in Chile (
Regarding subjective well-being, it was found that male adolescents showed higher levels of well-being in the global PWI-SC9 measure, this difference being statistically significant (p-value < .001). Likewise, male adolescents presented higher levels of subjective well-being in the nine domains evaluated, with the difference being statistically significant for all, except for the one referring to satisfaction with “the things you have”, “what may happen later in your life” and “Your life in school or high school”. It is necessary to address this problem in future research, in order to identify the psychosocial variables that produce such marked differences in the Chilean context.
Finally, considering the third objective of this study (and the third hypothesis), the results of the multiple regression analysis show that satisfaction with “how confident you feel about yourself” was the only domain of subjective well-being that was significant in explaining the risk of psychopathology for both women and men, being the most important domain for female adolescents, as hypothesized. Apparently, this would be a crucial domain of life for Chilean adolescents, since previous studies (Alfaro et al., 2013; Bilbao-Ramírez et al., 2016) have shown that this field is one of the main ones explaining global satisfaction with life for this population. In addition, this domain of well-being, which refers to confidence with respect to the individual self (not regarding external threats), is closely related to concepts such as self-esteem and self-efficacy, which are also negatively related to psychopathology (Di Giunta et al., 2018). Future interventions with adolescents should consider this domain an essential element, common to both adolescent men and women.
The fact that, for male adolescents, the item of satisfaction with “life in school or high school” was the most important in explaining the risk of psychopathology, could be related to the context of physical violence in school. Several studies have shown that, during adolescence, men suffer more physical victimization than women (
In the case of women, the other domain of life that was significant for the model was the one regarding satisfaction with “your health”. This may be related to the decrease in health-related quality of life, which according to some studies (
It is interesting to note that the domain corresponding to satisfaction with “your relationships with people” is not significant when explaining the General Factor of Psychopathology (neither for the total sample nor separating it by gender). This could be explained following the argument of
Considering the results discussed, it seems clear that there are interventions that can consider transversal gender elements in their design, while there are others that should consider a design that separates the objectives for the male and female adolescent population. For example, one could consider a general intervention for adolescents that addresses the domain of self-confidence. On the other hand, specific interventions could be designed for male adolescents that would address issues related to their school life and the security they feel in their current life, while interventions could be designed for female adolescents that would address the satisfaction they have regarding their personal health.
The present study has some limitations. In the first place, as it is a cross-sectional study, we cannot consider that the domains of subjective well-being explain or predict psychopathology, we can only analyze whether they are associated or not. Longitudinal studies could allow us to analyze which variable predicts or causes the other in this relationship, in order to design interventions that target the cause of the problem. On the other hand, being a quantitative study, it does not have the scope to analyze the experience of adolescents, which is a central element when we seek to understand intrinsically subjective phenomena (such as mental health and well-being). Analyzing this phenomenon from a qualitative perspective will provide elements to design interventions more adjusted to the needs of adolescents. Lastly, another limitation of this study to mention is the fact of considering the measurement of subjective well-being separated by domains, considering that the instrument used was originally conceived to assess subjective well-being at a global level. We believe that this should not cause major problems, since, at the time of validating the instrument, its creators identified the items that 1) contributed loads to the latent variable of subjective well-being and 2) did not overlap with each other when explaining the variance of the latent variable. Even so, we wanted to mention this point as a limitation.
Although some mental health studies have been carried out in Chilean adolescents in the last fifteen years, it is necessary to deepen the investigation of this phenomenon in the sense of consolidating the information on prevalence, as well as linking the mental health of this social group with other psychosocial variables, especially gender. This would allow for rational planning of resources for mental health (
Conceptualization, A.R., A.M.S., C.C., and D.P.; Methodology, A.R., J.C.O. and A.M.S.; Data analysis, A.R. and J.T.V.; Results writing J.T.V.; Discussion, A.R. and J.C.O.; Conclusions, J.C.O., C.C.; References, D.P.; Review and Editing, I.A. All authors reviewed the manuscript.
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
We appreciate the support of SCIA ANID CIE160009, FONDECYT 3210780, FONDECYT 1181533 and FONDECYT 3210525 projects.







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