The Relationship Between Mental Health Literacy and Mental Illness Attitudes and Knowledge: A Structural Equation Model
Abstract
Objectives: Enhancing mental health literacy (MHL) through school-based education intervention may encourage mental health promotion, prevention, and care and reduce stigma in adolescents. Over the last few decades, this has been a major area of interest for researchers and health planners. This study aims to explore the relationship between knowledge and attitude to mental disorders with students’ MHL.
Methods: This descriptive cross-sectional study was conducted in 2023 in Sirjan. The statistical population included all the students of the first secondary schools selected through a multistage cluster random sampling method. The study ultimately involved 562 male and female students. Data were gathered through a MHL questionnaire, Mental Health Knowledge Questionnaire (MHKQ), and Attitudes to Mental Illness Questionnaire (AMIQ) along with a demographic information checklist. SPSS and AMOS Version 26 software were used in the statistical analysis.
Results: The findings showed that mental health knowledge has a direct (0.15) and indirect (0.36) effect on MHL (p > 0.001). MHL has a direct and significant effect on knowledge of risk factors and causes (0.28), knowledge of self-treatment (0.15), knowledge of professional help available (0.33), and knowledge of where to seek information (0.61). Moreover, MHL had a direct and inverse effect on appropriate help-seeking behavior (−0.98).
Conclusion: This study found that individuals with greater MHL exhibit more appropriate behavior and knowledge regarding mental illness or disorders. Thus, it is recommended that mental health be emphasized in educational programs to help students tackle the daily challenges of adolescence.
1. Introduction
Early adolescence marks a crucial period for the development and onset of mental health problems [1]. A mental disorder, also referred to as a mental illness [2], a mental health condition [3], a psychiatric disorder, is a behavioral or mental pattern that causes significant distress or impairment of personal functioning [4]. Mental illness refers to all diagnosable mental health disorders [5] involving depression, schizophrenia, substance abuse, eating disorders, and other anxiety and mood disorders [6]. A survey of students reported that 43.2% of them suffered from symptoms of depression, 40.0% from anxiety, 24.7% from adjustment problems, and 12.2% from relationship crises. Moreover, 2.4% suffered from posttraumatic stress disorder, 14.3% from suicidal crises, 13% from alcohol problems, and 1.6% had attempted suicide. However, very few were less likely to seek help [7]. Globally, one in seven 10–19 year olds experiences a mental disorder, accounting for 13% of the global burden of disease in this age group and this is while these cases remain largely undiagnosed and untreated [8]. In recent years, mental health disorders have been gaining attention from researchers, health professionals, and policymakers [9]. Mental health is a state of mental wellbeing that enables people to cope with the stresses of life, realize their abilities, learn well and work well, and contribute to their community [10]. Multiple factors affect mental health. The more risk factors the adolescents are exposed to, the greater the potential impact on their mental health. Factors that can contribute to stress during adolescence include exposure to adversity, pressure to conform with peers, violence (especially sexual violence and bullying), harsh parenting, as well as severe socioeconomic problems [11]. Some adolescents are at greater risk of mental health conditions due to their living conditions, stigma, discrimination or exclusion, or lack of access to quality support and services [12]. Recognizing the symptoms of mental disorders in students is essential for early intervention and support. Teachers, parents, and peers play a vital role in recognizing the signs and symptoms of mental health issues and supporting those who need it [13]. The most common symptoms of mental distress include changes in behavior, mood swings, withdrawal from social activities, concentration problems, and decreased academic performance [14]. Various studies have shown that mental health literacy (MHL) is a good predictor of adolescent’s mental health [15, 16]. MHL refers to knowledge and beliefs about mental health disorders, including their symptoms, risk factors, and available treatments. It also refers to the ability to recognize a mental illness when someone is experiencing a mental health problem and seek appropriate help or support [17].
Comprehensive mental health education for students is very important to improve MHL. Students are required to become aware of common mental disorders, their symptoms, and how to seek help. By increasing MHL, we can empower students to seek help and support when needed [18].
Schools play an important role in promoting student mental health and wellbeing. Incorporating mental health education into the curriculum enables students to develop a better understanding of mental health, acquire coping strategies, and cultivate empathy for their peers [19]. Educators and caregivers are crucial in providing mental health support for students and fostering a safe space for open discussions [20]. Due to a notable deficiency in mental health knowledge, particularly among students, a large number of students do not possess the essential knowledge and abilities to recognize and address mental health problems, resulting in a rise in social harm. Enhancing students’ knowledge of mental health enables them to take preventive measures to improve their mental well-being and thrive in a supportive setting. The World Mental Health Report (2022) emphasizes the need for all stakeholders to come together to alter the environments influencing mental health and bolster mental health care systems [10]. Despite the increasing mental health issues among students, researchers in Iran have not paid attention to the issue of mental health knowledge and attitudes toward mental disorders in students. Therefore, this study examines the relationship between mental health knowledge and attitudes toward mental disorders with MHL and its dimensions in students.
Therefore, I decided to examine the components of MHL, including the ability to recognize specific disorders, knowledge of available professional help, knowing how to search for mental health information, self-treatment knowledge, awareness of risk factors and causes, and attitudes that facilitate appropriate recognition and help-seeking. Since mental health knowledge and attitudes regarding mental disorders were weak in the components of the MHL questionnaire, knowledge and attitudes were also examined.
2. Methods
2.1. Participants
This descriptive cross-sectional study was conducted in 2023 in Sirjan, a major city located in southeast Iran. The statistical population included all the students of the first secondary schools selected through a multistage cluster random sampling method.
2.2. Study Design
Initially, a list of secondary schools was compiled in conjunction with the Education Department of Sirjan, followed by the random selection of five schools from each district and one class (comprising 28 students) from the four educational districts of Sirjan. In this study, using the effect size and primary data from the study by Nguyen et al. [21], considering the type 1 error at the level of 0.05 and the power of 0.80, the sample size was 562 male and female students. Inclusion criteria were public school designation, willingness to participate, and consent from the school and class principal, and exclusion criteria were exceptional schools (adolescents with learning disabilities or behavioral problems) and incomplete completion of the questionnaire. The researcher obtained written consent from both students as well as their parents, ensuring them that their responses would be used solely for research purposes and kept confidential. Data were gathered using a MHL questionnaire, a Mental Health Knowledge Questionnaire (MHKQ), and an attitude to mental illnesses with demographic information included. Figure 1 shows the research process.

2.3. Data Collection Tools
The Mental Health Literacy Scale (MHLS) was developed by O’Connor and Casey in 2015 [22]. This questionnaire has 6 attributes including the ability to recognize specific disorders; knowing how to seek mental health information; knowledge of risk factors and causes; knowledge of self-treatments; knowledge of professional help available; and attitudes that promote recognition and appropriate help-seeking.
2.3.1. Ability to Recognize Specific Disorders
This attribute consists of eight questions that were measured using a 4-point Likert scale (very unlikely, unlikely, likely, and very likely).
2.3.2. Knowledge of Risk Factors and Causes
This attribute was measured with two questions and using a 4-point Likert scale (very unlikely, unlikely, likely, and very likely).
2.3.3. Knowledge of Self-Treatment
This attribute consists of two questions that were measured using a 4-point Likert scale (very unhelpful, unhelpful, helpful, and very helpful).
2.3.4. Knowledge of Professional Help Available
This attribute was measured with three questions and using a 4-point Likert scale (very unlikely, unlikely, likely, and very likely).
2.3.5. Knowledge of Where to Seek Information
This attribute consists of four questions that were measured using a 5- point Likert scale (strongly disagree, disagree, neither agree nor disagree, agree, and strongly agree).
2.3.6. Attitudes That Promote Recognition or Appropriate Help-Seeking Behavior
This attribute consists of 16 questions and was measured using a 5-option Likert scale (strongly disagree, disagree, neither agree nor disagree, agree, and strongly agree) or (definitely willing, probably willing, neither willing nor unwilling, probably unwilling, and definitely unwilling).
Nejatian et al. reviewed and modified the MHLS questionnaire. After the assessment, six questions were removed, resulting in the confirmation of a revised MHLS Version with 29 items and six attributes. McDonald’s omega coefficient and Cronbach’s alpha coefficient were used to measure the reliability of the tool, which were 0.797 and 0.789, respectively [23].
“Knowledge of mental health” and “attitude toward mental illness” were evaluated using the MHL tools of Iranian students. The MHL Questionnaire was translated, localized, and psychometric by Zaidabadi and et al. [24]. The average content validity index (CVI) of the items was 0.88. Cronbach’s alpha coefficient index for questions of mental health knowledge and attitude to mental illness of students was obtained as 0.96 and 0.86, respectively. The Pearson correlation of the questions of the knowledge section was 0.93 and the attitude was 0.76, which is an acceptable reliability coefficient.
2.4. Statistical Analysis
The Statistical Package for the Social Sciences (SPSS) Version 26.0 was utilized for descriptive statistics of mean and standard deviation (SD). AMOS Version 26 is used for structural equation modeling (SEM) analysis. To justify the goodness of fit of the model, several model fit indices were reported as follows: the Chi-square divided by degree of freedom (χ2/DF); the Comparative Fit Index (CFI), the Goodness of Fit (GFI); and the standardized root mean square residual (SRMR). Regarding the CFI index, the minimum acceptable and good results were considered more than 0.9. Regarding the RMSEA index, values below 0.08 were considered good and acceptable. Regarding GFI, values greater than 0.8 were considered good and acceptable [25].
3. Results
A total of 562 students, aged between 13 and 15 years, participated in the study. Of these, 411 people (73.3%) were female and 151 people (26.87%) were male. A total of 456 people (81%) had two children, 21 people (3.7%) had a history of mental illness, and 69 people (12.3%) had visited a psychiatrist.
In this study, the items of history of mental illness and visits to a psychiatrist had some missing data. The overall rate of missing data was 0.7%. According to Kim, Yu, and Kim [6], biases and missing data are not significant if the amount of missing data is low (less than 5%). The demographic characteristics of study participants are presented in Table 1.
Demographic variables | Number (n = 562) | Percent | |
---|---|---|---|
Sex | Male | 411 | 73/1 |
Female | 151 | 26/9 | |
Number of children in the family | One | 48 | 8/54 |
Two | 456 | 81/13 | |
Three or more | 58 | 10/33 | |
History of mental illness | Yes | 21 | 3/76 |
No | 537 | 96/24 | |
Visited a psychiatrist | Yes | 69 | 12/36 |
No | 489 | 87/64 |
Table 2 illustrates the mean and SD of scores for variables of MHL and its components, mental health knowledge, as well as the attitudes to mental illness questionnaire in sex-disaggregated format. The mean scores for all variables were almost the same for boys and girls.
Variables | Mean (standard deviation) | Minimum score | Maximum score | p value | |
---|---|---|---|---|---|
Female (n = 411) | Male (n = 151) | ||||
Mental health knowledge | 11/61 ± 4/0 | 9/46 ± 4/7 | 0 | 26 | < 0.001 |
Attitudes to mental illness | 19/81 ± 4/9 | 20/73 ± 5/6 | 6 | 48 | 0.06 |
Ability to recognize specific disorders | 23/64 ± 2/9 | 21/83 ± 3/4 | 8 | 32 | < 0.001 |
Knowledge of risk factors and causes | 5/58 ± 1/2 | 5/01 ± 1/4 | 2 | 8 | < 0.001 |
Knowledge of self-treatment | 5/25 ± 1/2 | 5/63 ± 3/9 | 2 | 8 | 0/08 |
Knowledge of professional help available | 8/53 ± 1/6 | 7/78 ± 1/8 | 3 | 12 | < 0.001 |
Knowledge of where to seek information | 13/10 ± 2/6 | 12/31 ± 3/7 | 4 | 20 | 0/006 |
Appropriate help-seeking behavior | 25/01 ± 7/4 | 27/17 ± 7/8 | 10 | 50 | 0/003 |
Mental health literacy | 81/13 ± 8/5 | 79/76 ± 10/8 | 81/13 ± 8/5 | 130 | 0/117 |
The complete pattern of relationships between variables is illustrated in the structural equation model shown in Figure 2.

The model’s findings reveal that having a knowledge of mental health impacts both MHL and attitudes to mental illness. Also, MHL has a significant impact on all aspects of MHL except the ability to recognize disorders.
Jaccard [26] argued to include at least one indicator from each processing group in our report. A model fit can be considered acceptable when at least three indicators show satisfactory values [27].
In this section, four indices are used (chi-square divided by the degrees of freedom (χ2/DF); the CFI, the GFI; and RMSEA. Validating the model and documenting the results require the fit indices of the model to be acceptable. The values of the indicators used are detailed in Table 3.
Checked indexes | Symbols | Standard rate | Estimated value | |
---|---|---|---|---|
Chi-square divided by the degrees of freedom | (x2/df) | < 3 | Carmines and McIver [28] | 4/18 |
Root mean square error of approximation | RMSEA | < 0/08 | Haier et al. [29] | 0/075 |
Comparative fit index | CFI | > 0/9 | Bentler and Bonnet [30] | 0/938 |
Goodness of fit index | GFI | > 0/8 | Etezadi and Farhoomand [31] | 0/969 |
Table 3 reveals that the RMSEA value is equal to 0.075 which is less than 0.08. Also, the CFI and the GFI have been calculated appropriately.
The value of the chi-square to the degree of freedom is highly dependent on the sample size, and the larger the sample size, the higher the chi-square quantity. For this matter, it cannot be attributed definitely with certainty to the wrongness of the model [32]. Therefore, based on the calculated indicators, it can be determined that the model fits optimally.
The direct, indirect, and total effects of variables and their statistical significance are shown in Table 4. MHL has a direct and significant effect on knowledge of risk factors and causes (0.28), knowledge of self-treatment (0.15), knowledge of professional help available (0.33), and knowledge of where to seek information (0.61). Moreover, MHL had a direct and inverse effect on appropriate help-seeking behavior (−0.98). As attitudes supporting proper help-seeking behavior or knowledge increase, so does MHL. In other words, the higher the MHL, the more appropriate a person’s behavior and knowledge about mental illness or disorders. Furthermore, MHL had an indirect effect on all dimensions. Also, knowledge had a direct (0.15) and indirect (0.36) effect on overall MHL. Increasing knowledge of mental health leads to a more positive influence on MHL.
Main variable | Dimensions of mental health literacy | Indirect effect | Direct effect | S.E | C.R | p value | |
---|---|---|---|---|---|---|---|
Mental health literacy (MHL) | → | Ability to recognize specific disorders | 0/57 | ||||
→ | Knowledge of risk factors and causes | 0/39 | 0/28 | 0/05 | 5/21 | < 0/001 | |
→ | Knowledge of self-treatment | 0/11 | 0/15 | 0/07 | 1/95 | /051 | |
→ | Knowledge of professional help available | 0/35 | 0/33 | 0/06 | 4/96 | < 0/001 | |
→ | Knowledge of where to seek information | 0/37 | 0/61 | 0/12 | 5/09 | < 0/001 | |
→ | Attitudes that promote recognition or appropriate help-seeking behavior | −0/23 | −0/98 | 0/16 | −3/74 | < 0/001 | |
Mental health literacy (MHL) | → | Attitudes to mental disorders | 0/01 | 0/03 | 0/18 | 0/18 | 0/855 |
Knowledge of mental health | → | Attitudes to mental illness | 0/05 | 0/06 | 0/05 | 1/12 | 0/260 |
Knowledge of mental health | → | Knowledge of mental health | 0/36 | 0/15 | < 0/001 |
4. Discussion
This study utilized a structural equation model to explore the relation between mental health knowledge and attitudes to mental illness with MHL and its dimensions. In the present study, the average MHL score of students was at a moderate level, which aligns with the findings of Fazlifar et al. [33] in high school students. In the study by Thai, Vu, and Bui [34], the MHL of high school students in Vietnam was also approximately average. In this study, the attitudes toward mental disorders were below the moderate level, while in another study, the average attitude score among students was at a moderate level. Increasing mental health knowledge among students can lead to changes in attitudes and correction of misconceptions about mental disorders; consequently, it can play a role in improving the MHL of students.
The results revealed that MHL had a direct and significant impact on the dimensions of MHL, which included all the components of MHL, including knowledge of risk factors and causes, knowledge of self-treatment, knowledge of available professional help, and knowledge of where to seek information. Mcluckie et al. examined the effect of a high-school mental health curriculum (the guide) in enhancing MHL in Canadian schools and concluded that enhancing MHL can serve as a foundation for promoting mental health, prevention, and early detection of mental disorders in students [35].
The results also showed that MHL had a direct and inverse effect on appropriate help-seeking behavior, that is, students exhibiting higher MHL scores are inclined toward having a more positive attitude toward help-seeking, consequently boosting their willingness to seek help.
Moreover, the results demonstrated a significant relationship between MHL and the likelihood of seeking help, which aligns with the conclusions drawn by Kim, Yu, and Kim [6].
The present study found that mental health knowledge significantly influences MHL. This indicates that students with greater MHL also possessed a higher level of mental health knowledge. Put simply, the higher the MHL of the students, the higher their knowledge of mental health. In other words, students who are knowledgeable about mental health are more likely to have a positive attitude toward seeking help and consulting professionals when needed [36].
The study demonstrated a direct relationship between knowledge of risk factors and causes and mental health knowledge and literacy. This study also found that students with regular access to mental health information demonstrated greater mental health knowledge and literacy. This study is consistent with the study of information access and mental health knowledge of health sciences in Indonesia by Harisa et al. [37].
The results also showed that attitudes toward mental illnesses remained unaffected by MHL. In the study by Kim, Yu, and Kim, the attitude toward seeking help was influenced by MHL in both direct and indirect ways, the latter being through stigma [6].
Due to the different aspects of MHL, no study was found concerning the influence of MHL on student’s attitudes to mental illnesses. Despite the improvements in the field of psychiatry over the past decades, the perception of psychiatry has been positively affected, but the attitudes of its patients remain unchanged [38]. However, there is a need for increased efforts to address the stigma and discrimination faced by individuals with mental illness.
The results of this study revealed a direct relationship between MHL and appropriate help-seeking behavior among students, which is consistent with other studies [39–41]. Enhancing MHL allows individuals to acquire a deeper comprehension of mental health professionals and the norms established in the field of mental health services. As a result, people become less worried about privacy infringements and gradually trust official sources [42]. In practice, this increased trust and confidence further contributes to appropriate help-seeking behavior. Conversely, improved MHL enables individuals to adopt more effective coping strategies when facing mental health challenges [43]. Therefore, individuals are more inclined to seek professional help available rather than relying solely on their solutions. In general, a strong and positive relationship was observed between MHL and appropriate help-seeking behavior.
4.1. Strengths and Limitations
The strengths of the study, the cross-sectional design, enabled us to explore correlations, yet constrained our capacity to establish causal interferences. Future studies are recommended to use longitudinal and natural experiments, along with intervention studies, to examine the causal pathways between discrete dimensions of MHL and knowledge and attitudes to mental illness/disorders among adolescents.
5. Conclusion
In this study, the results indicated that general mental health knowledge affects MHL and attitudes toward mental disorders. By examining the relationship between the dimensions of MHL, the results showed that the higher the MHL, the more appropriate the individual’s behavior and understanding of mental illnesses or disorders. This increase in mental health knowledge among students can lead to changes in attitudes toward mental disorders and play a role in improving the MHL of students. In light of this, prioritizing mental health in educational programs is crucial for helping students navigate the difficulties of adolescence.
Ethics Statement
This study is taken from the thesis of a PhD student in health education and health promotion. The present study was approved by the ethics committee Yazd University of Medical Sciences (code: IR.SSU.SPH.REC.1402.089) was obtained.
Conflicts of Interest
The authors declare no conflicts of interest.
Author Contributions
B.Z. conducted the investigation, conceptualization, methodology, data curation, analysis, data interpretation, and writing of the manuscript. M.K., R.S., and S.J. contributed to the methodology, data analysis, interpretation, and manuscript edition. All authors read and confirmed the final manuscript to be submitted to the current journal. All authors also decided to accept responsibility for all aspects of the work.
Funding
No funding was received for this research.
Acknowledgments
We are very grateful to Sirjan Department of Education and especially, we appreciate the teachers and students of Sirjan schools.
Open Research
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.