J Korean Acad Soc Nurs Educ Search

CLOSE


J Korean Acad Soc Nurs Educ > Volume 31(1); 2025 > Article
중학교 고등학교의 청소년 자살 생각 영향 요인 비교

Abstract

Purpose:

This study aimed to compare the factors influencing suicidal ideation among middle and high school students in South Korea.

Methods:

Data from the 18th Korea Youth Risk Behavior Web-based Survey conducted in 2022 (n=51,850) were analyzed using a logistic regression to calculate the odds ratios for suicidal ideation risk factors.

Results:

Among middle school students, smoking, drinking, and other delinquent behaviors had higher odds ratios compared to those of high school students. For high school students, depression, loneliness, anxiety, and other mental health issues showed greater odds ratios than in middle school students. The findings highlight developmental differences in suicidal ideation risk profiles between middle and high school students. Targeted prevention and intervention strategies tailored to each age group are recommended.

Conclusion:

Despite the narrow age range, this study revealed distinct patterns of suicidal ideation risk factors among adolescents in their early and late teens. Schools and policymakers should consider these differences when designing suicide prevention programs.

Introduction

Youth suicide represents a critical public health issue globally, with South Korea experiencing particularly high rates. According to the World Health Organization, suicide among individuals aged 15~19 years is the fourth leading cause of death worldwide [1]. Although the youth suicide rate in South Korea has shown a slight decline, it remains among the highest in the Organisation for Economic Co-operation and Development countries [2,3]. This highlights the urgent need for societal attention and academic research to address this pressing issue.
Research has demonstrated that factors contributing to suicidal ideation vary across life stages [4,5]. Adolescence, in particular, is a period marked by significant cognitive, psychosocial, biological, and environmental changes, all of which can influence mental health outcomes [6]. Recent studies indicate that the trajectories of suicidal ideation differ between early and late adolescence, with each stage characterized by distinct risk and protective factors [7]. This aligns with developmental theories suggesting that early adolescence (typically middle school) and late adolescence (typically high school) differ significantly in developmental, educational, and social contexts [8], which may result in distinct risk profiles for suicidal ideation.
During early adolescence, social dynamics undergo substantial transformation. Adolescents in this stage spend increasing amounts of time with peers, a factor that profoundly influences their social and emotional development [9]. This period is marked by vulnerability to mental health challenges, exacerbated by psychological and emotional instability stemming from pubertal changes, increased sensitivity to peer evaluation, and heightened emotional reactivity in expanding peer-driven social networks [6]. In contrast, late adolescence introduces challenges associated with academic pressures, such as preparing for college entrance exams and making career decisions. These pressures, coupled with societal expectations for high academic performance, can lead to elevated levels of stress and psychological strain [10]. While cognitive and emotional regulation systems continue to mature during this stage, heightened expectations often amplify stress and anxiety [11]. These contrasting stressors underscore the developmental distinctions between early and late adolescence.
The multifaceted factors contributing to adolescent suicide include mental health challenges, academic stress, familial conflicts, social isolation, and the pervasive influence of social media [12]. The impact of these factors varies between middle school (early adolescence) and high school (late adolescence) students. For example, middle school students are at greater risk of suicide when experiencing parental abuse [13]. Key factors influencing suicidal ideation in this group include life challenges, depression, social support, daily stressors, and school violence [14]. For high school students, prevention strategies should prioritize mental health improvements by addressing delinquency and depression while considering gender differences [15]. Moreover, self-perceived academic achievement significantly influences suicidal tendencies in high school students, with lower perceptions of academic success strongly associated with severe suicidal thoughts [16]. While depression is a major predictor of suicidal ideation across all adolescent stages and genders, its impact intensifies during late adolescence. Conversely, self-efficacy is a significant predictor in early adolescence but diminishes in relevance as depression becomes a stronger predictor in late adolescence [17].
Research on adolescent suicide is further complicated by the unique sociocultural and educational contexts in South Korea. The nation’s examination-oriented education system, high academic stress, and competitive societal atmosphere contribute to distinct suicide-related challenges [18]. Age-related differences in suicidal ideation and behavior are well-documented [19], yet there remains a critical gap in understanding how these differences manifest within Korea’s specific sociocultural framework.
An important limitation of existing research is its failure to fully reflect developmental differences in suicide risk. The trajectory of adolescent suicide is multidirectional and reversible [20], with varying influences at different developmental stages [21]. However, most studies analyze adolescents as a uniform group, limiting the development of tailored prevention and intervention strategies that account for developmental characteristics. There is a lack of research examining how suicide-related factors differ between middle and high school students in South Korea.
To address this gap, this study aims to investigate differences in the factors influencing suicidal ideation among middle school and high school students. Specifically, the study will analyze sociodemographic variables (e.g., sex, economic status), academic performance, health risk behaviors (e.g., smoking, drinking), and mental health indicators (e.g., perceived stress, depression, loneliness, anxiety) to assess their impact on suicidal ideation by school level. By identifying these developmental differences, this study seeks to provide empirical evidence for the creation of targeted suicide prevention and intervention strategies tailored to the needs of each developmental stage.

Methods

Participants

This study analyzed data from the 18th Korea Youth Risk Behavior Survey (KYRBS), a nationally representative survey conducted in 2022 among middle and high school students in South Korea [22]. The KYRBS employs a stratified, clustered, multistage probability sampling design to ensure representativeness of the Korean adolescent population [23]. The final sample included 51,850 students, comprising 28,015 middle school students and 23,835 high school students.

Ethics statement

This study was confirmed to be exempt from Jeju National University Institutional Review Board (IRB No: JJNU-IRB-2024-084).

Procedure

The primary outcome variable was suicidal ideation, assessed using a self-reported question regarding whether the participant had seriously considered suicide in the past 12 months. Independent variables included sociodemographic factors (e.g., sex, social economic status), academic performance, health risk behaviors (e.g., smoking, drinking), and mental health indicators (e.g., perceived stress, depression, loneliness, anxiety). These measures have been validated in previous studies utilizing KYRBS data [24].
Regarding general characteristics, participants’ sex, academic performance, social economic status, smoking, and drinking data were examined. For academic performance, the question ‘Over the past 12 months, how has your academic performance been?’ was asked, and the answers were sorted into three categories: upper, middle, and lower. Perceived stress was assessed using the question ‘How much stress do you usually feel?’ with responses categorized as ‘less’ or ‘much.’
The experience of depression was determined by asking, ‘In the past 12 months, have you felt extremely sad or hopeless to the extent that you stopped daily activities for two weeks continuously?’ Positive responses indicated the presence of depression. Further, the experience of loneliness was determined by asking, ‘How often have you felt lonely in the past 12 months?’ A response of ‘always’ or ‘often’ indicated experiences of loneliness. Generalized anxiety disorder (GAD) was assessed using the seven-item GAD-7 tool. The GAD-7 evaluates how often respondents have been bothered by problems such as feeling nervous, anxious, worried, or being unable to stop worrying, over the past two weeks. Each item is rated on a four-point Likert scale, with total scores categorized into minimal, mild, moderate, or severe anxiety levels. In this study, the reliability coefficient (Cronbach’s alpha) for the GAD-7 was .90. Regarding suicide-related behaviors, suicidal ideation was assessed by asking, ‘In the past 12 months, have you seriously thought about suicide?’ with the following response options: (1) No, I have not in the past 12 months; (2) Yes, I have in the past 12 months. A response of ‘Yes’ as coded as indicating the presence of suicidal ideation.

Data analysis

Descriptive statistics were calculated for all variables and stratified by school level (middle vs. high school). Multivariate logistic regression analyses were conducted separately for middle and high school students to estimate adjusted odds ratios and 95% confidence intervals (CIs) for suicidal ideation associated with each risk factor, controlling for sociodemographic variables. Statistical significance was defined as p<.05. All analyses were performed using SAS version 9.4 (SAS Institute), applying weight adjustments for the KYRBS’s complex sampling design.

Results

Descriptive statistics

Statistical analyses revealed significant differences between middle and high school students across several key characteristics, as shown in Table 1. Risk behaviors increased markedly with age. For instance, the smoking rate rose significantly from 2.1% in middle school to 7.1% in high school (p<.001), while the prevalence of drinking increased from 7.0% to 19.5% (p<.001).
Table 1
Comparison of the Participants’ General Characteristics by Middle and High School Students (N=51,850)
Characteristics Categories Total Middle school students High school students Rao-Scott χ2 p-value

N W % N W % N W %
Sex Male 26,397 51.6 14,183 51.4 12,214 51.8 0.03 .872
Female 25,453 48.4 13,832 48.6 11,621 48.2
Academic performance* Upper 20,051 38.8 12,547 45.8 7,504 31.3 711.07 <.001
Middle 15,484 30.0 7,856 27.7 7,628 32.5
Lower 16,313 31.2 7,612 26.5 8,701 36.2
Social economic status* Upper 21,888 43.3 13,071 48.5 8,817 37.8 244.29 <.001
Middle 24,143 46.0 12,267 42.6 11,876 49.6
Lower 5,816 10.7 2,677 8.9 3,139 12.6
Smoking No 49,606 95.5 27,440 97.9 22,166 92.9 417.16 <.001
Yes 2,244 4.5 575 2.1 1,669 7.1
Drinking No 45,171 87.0 26,004 93.0 19,167 80.5 978.09 <.001
Yes 6,679 13.0 2,011 7.0 4,668 19.5
Perceived stress Less 30,454 58.7 16,841 60.2 13,613 57.0 29.38 <.001
A lot 21,396 41.3 11,174 39.8 10,222 43.0
Depression No 36,894 71.3 20,080 71.8 16,814 70.7 4.58 .032
Yes 14,956 28.7 7,935 28.2 7,021 29.3
Loneliness No 42,711 82.4 23,212 82.9 19,499 81.8 5.40 .020
Yes 9,139 17.6 4,803 17.1 4,336 18.2
General anxiety disorder Minimal 33,369 64.1 18,241 64.8 15,128 63.3 7.81 .050
Mild 11,894 23.2 6,305 22.8 5,589 23.6
Moderate 4,187 8.0 2,209 7.8 1,978 8.3
Severe 2,400 4.7 1,260 4.5 1,140 4.8
Suicidal ideation No 44,500 85.7 23,778 84.6 20,722 86.9 28.56 <.001
Yes 7,350 14.3 4,237 15.4 3,113 13.1

W %=weighted %

* The total sample size may not equate to the breakdown because of missing data.

Mental health indicators also showed significant changes. High school students reported higher levels of perceived stress (43.0% vs. 39.8%, p<.001), slightly elevated rates of depression (29.3% vs. 28.2%, p=.032), and marginally increased feelings of loneliness (18.2% vs. 17.1%, p=.020). Suicidal ideation was more prevalent among high school students compared to their middle school counterparts (15.4% vs. 13.1%, p<.001).

Suicidal ideation prevalence

Table 2 provides a detailed analysis of suicidal ideation prevalence across subgroups. Female students exhibited higher rates than males in both groups (middle school: 19.8% vs. 11.2%; high school: 15.9% vs. 10.5%). In middle school, suicidal ideation increased with lower academic performance (upper: 13.8%, middle: 13.9%, lower: 19.7%), whereas in high school, middle-performing students had the lowest prevalence (10.8% compared to 12.2% for upper and 16.0% for lower performers).
Table 2
Prevalence of Suicidal Ideation by General Characteristics and School Level (N=51,850)
Characteristics Categories Middle school students High school students

W % Rao-Scott χ2 p-value W % Rao-Scott χ2 p-value
Sex Male 11.2 344.98 <.001 10.5 122.30 <.001
Female 19.8 15.9
Academic performance Upper 13.8 105.66 <.001 12.2 77.28 <.001
Middle 13.9 10.8
Lower 19.7 16.0
Social economic status Upper 13.6 230.67 <.001 12.1 198.17 <.001
Middle 14.8 11.8
Lower 27.4 21.3
Smoking No 14.9 205.68 <.001 12.2 181.70 <.001
Yes 38.8 25.7
Drinking No 14.3 229.81 <.001 11.5 143.45 <.001
Yes 29.4 19.7
Perceived stress Less 6.0 2,534.59 <.001 5.5 1,551.18 <.001
A lot 29.6 23.2
Depression No 7.0 3,288.55 <.001 5.2 3,238.57 <.001
Yes 36.6 32.1
Loneliness No 9.7 3,846.66 <.001 7.6 3,542.96 <.001
Yes 42.8 37.8
General anxiety disorder Minimal 6.4 3,837.99 <.001 5.1 3,271.20 <.001
Mild 23.5 18.4
Moderate 41.3 35.2
Severe 57.9 55.1

W %=weighted %

Economic status significantly impacted suicidal ideation, with lower economic status associated with higher prevalence (middle school: upper 13.6%, middle 14.8%, lower 27.4%; high school: upper 12.1%, middle 11.8%, lower 21.3%). Smoking and drinking were significantly associated with suicidal ideation. For instance, 38.8% of middle school smokers reported suicidal ideation compared to 14.9% of non-smokers, and 25.7% of high school smokers compared to 12.2% of non-smokers. Similarly, drinking was also associated with suicidal ideation, as shown by 29.4% of middle school drinkers versus 14.3% of non-drinkers, and 19.7% of high school drinkers versus 11.5% of non-drinkers.
Mental health factors were critical predictors of suicidal ideation. Students experiencing high levels of stress, depression, or loneliness reported significantly higher rates of suicidal ideation compared to their peers. For instance, among middle school students, suicidal ideation rates were 29.6% for those with high stress, 36.6% for those with depression, and 42.8% for those experiencing loneliness. Comparable rates for high school students were 23.2%, 32.1%, and 37.8%, respectively. GAD severity was significantly associated with suicidal ideation, as evidenced by rising prevalence from minimal to severe anxiety levels in both middle and high school students. Among middle school students, the prevalence of suicidal ideation ranged from 6.4% to 57.9% (minimal 6.4%, mild 23.5%, moderate 41.3%, severe 57.9%), whereas in high school students, it ranged from 5.1% to 55.1% (minimal 5.1%, mild 18.4%, moderate 35.2%, severe 55.1%). All differences were statistically significant according to the Rao-Scott χ² test (p<.001).

Logistic regression analysis

Table 3 presents the logistic regression analyses of factors associated with suicidal ideation, illustrating distinct patterns between middle and high school students. Demographic and behavioral factors demonstrated stronger associations with suicidal ideation in middle school students compared to high school students. For instance, smoking was associated with an odds ratio (OR) of 1.80 (95% CI, 1.42~2.28) in middle school students, whereas high school students showed an OR of 1.54 (95% CI, 1.29~1.83). Similarly, drinking was associated with an OR of 1.56 (95% CI, 1.32~1.83) among middle school students, versus 1.33 (95% CI, 1.18~1.50) in high school students.
Table 3
The Influencing Factors of Suicidal Ideation among Middle and High School Students (N=51,850)
Variables Categories Adjusted odds ratio 95 % confidence interval p-value

Upper Lower
Middle school students
 Sex (male) Female 1.37 1.26 1.50 <.001
 Academic performance (upper) Middle 0.94 0.84 1.04 .225
Lower 1.02 0.91 1.14 .763
 Social economic status (upper) Middle 1.05 0.95 1.15 .324
Lower 1.43 1.25 1.64 <.001
 Smoking (no) Yes 1.80 1.42 2.28 <.001
 Drinking (no) Yes 1.56 1.32 1.83 <.001
 Perceived stress (less) A lot 2.44 2.20 2.70 <.001
 Depression (no) Yes 3.12 2.83 3.44 <.001
 Loneliness (no) Yes 1.99 1.81 2.19 <.001
 General anxiety disorder (minimal) Mild 2.01 1.80 2.25 <.001
Moderate 2.96 2.56 3.41 <.001
Severe 4.11 3.51 4.81 <.001
High school students
 Sex (male) Female 1.29 1.16 1.43 <.001
 Academic performance (upper) Middle 0.87 0.76 1.01 .061
Lower 1.07 0.95 1.22 .274
 Social economic status (upper) Middle 1.00 0.90 1.11 .971
Lower 1.41 1.22 1.62 <.001
 Smoking (no) Yes 1.54 1.29 1.83 <.001
 Drinking (no) Yes 1.33 1.18 1.50 <.001
 Perceived stress (less) A lot 1.64 1.45 1.85 <.001
 Depression (no) Yes 3.65 3.28 4.06 <.001
 Loneliness (no) Yes 2.30 2.10 2.53 <.001
 General anxiety disorder (minimal) Mild 2.08 1.84 2.35 <.001
Moderate 3.28 2.79 3.84 <.001
Severe 5.21 4.32 6.29 <.001
In contrast, mental health factors exhibited stronger associations with suicidal ideation in high school students. Depression was linked with an OR of 3.65 (95% CI, 3.28~4.06) in high school students, compared to 3.12 (95% CI, 2.83~3.44) in middle school students. Loneliness also had a higher OR among high school students (OR=2.30; 95% CI, 2.10~2.53) compared to middle school students (OR=1.99; 95% CI, 1.81~2.19). Furthermore, anxiety severity—especially at moderate and severe levels—emerged as a stronger predictor of suicidal ideation in high school students. Severe anxiety corresponded to an OR of 5.21 (95% CI, 4.32~6.29) among high school students, in comparison to 4.11 (95% CI, 3.51~4.81) in middle school students.
Overall, these findings highlight the differential impact of behavioral and mental health factors on suicidal ideation across developmental stages. Middle school students appear to be more affected by behavioral factors, such as smoking and drinking, whereas high school students show greater susceptibility to mental health factors such as depression, loneliness, and anxiety.

Discussion

This study highlights significant differences in suicidal ideation between middle school and high school students. The prevalence of suicidal ideation was higher among middle school students (15.4%) compared to high school students (13.1%). This pattern aligns with the 2020 16th KYRBS, which reported a prevalence of 11.5% among middle school students and 10.2% among high school students. The findings indicate an overall upward trend in suicidal ideation following the coronavirus disease 2019 pandemic, with middle school students consistently exhibiting higher rates of suicidal thoughts than their high school counterparts [25]. This disparity may reflect developmental differences in vulnerability and coping capacities during adolescence.
The study also revealed a significant gender disparity in the prevalence of suicidal ideation, with female students exhibiting higher rates than their male counterparts in both middle and high school. This disparity was particularly pronounced among middle school students, consistent with findings from Nock et al. [26], who reported that suicidal ideation tends to emerge predominantly during early adolescence (13~14 years old) and that females are more likely than males to experience suicidal thoughts. These findings suggest that early adolescence may represent a critical period for gender-sensitive interventions targeting suicidal ideation.
The relationship between academic performance and suicidal ideation showed notable differences between middle and high school students. Among middle school students, a linear pattern was observed, with lower academic performance consistently associated with higher rates of suicidal ideation. This suggests that academic underperformance during early adolescence may directly increase psychological distress or feelings of hopelessness, leading to suicidal ideation [27]. Conversely, in high school students, the relationship followed a non-linear pattern, with middle-performing students exhibiting the lowest prevalence of suicidal ideation. Students with lower academic performance had the highest prevalence (16.0%), potentially reflecting frustration or hopelessness associated with academic struggles. Students at the top of the academic hierarchy also showed a relatively higher prevalence (12.2%), which may be attributed to the intense pressure to excel academically and secure college admission. These findings underscore the importance of addressing both academic stress and its psychological consequences for students across different educational stages. Lee and Kim [28] similarly emphasized that academic performance and engagement influence changes in suicidal ideation, highlighting the need to consider psychological factors and students’ attitudes toward academics in interventions aimed at reducing suicidal ideation. Economic status was another significant factor influencing suicidal ideation, with lower economic status associated with higher prevalence rates among both middle and high school students. The effect was particularly pronounced among middle school students, corroborating findings from Dupéré et al. [29], who demonstrated that poverty exerts a stronger influence on suicidal ideation and attempts during early adolescence (12~15 years old) than during late adolescence (16~19 years old). These findings suggest that early adolescence represents a period of heightened vulnerability to environmental stressors such as economic hardship, reflecting developmental differences in the ability to cope with such challenges.
The association between risk behaviors, such as smoking and drinking, and suicidal ideation was evident in both middle and high school students, with stronger effects observed among middle school students. This aligns with the findings of Cho et al. [30], who reported that early initiation of substance use, particularly during middle school, significantly increases the risk of suicide later in life. These findings underscore the importance of implementing early intervention and prevention programs to address substance use among middle school students. Collaborative efforts between schools and communities to develop and deliver comprehensive prevention programs targeting tobacco and alcohol use in early adolescence could play a critical role in reducing youth suicide rates.
Mental health factors, including depression, loneliness, and anger, were strongly associated with suicidal ideation across all age groups, but the association was a bit more pronounced among high school students. These findings are consistent with those of Nock et al. [26], who emphasized the heightened influence of mental health factors during early adolescence .This underscores the importance of mental health screening and early intervention during this developmental stage. Strengthening mental health services in schools and communities, along with the establishment of systems for early identification and support for emotional difficulties, particularly for high school students, may be a highly effective strategy for suicide prevention.
The findings of this study indicate that suicide prevention strategies for youth should be differentiated by age group, considering the unique developmental, social, and psychological factors that influence suicidal ideation during middle and high school. Future research should aim to elucidate the underlying mechanisms driving these age-specific differences and to develop targeted, evidence-based interventions that address the distinct challenges faced by adolescents at each developmental stage.

Conclusion

The aim of this study was to investigate the factors contributing to suicidal ideation among middle and high school students in South Korea. The findings reveal distinct patterns of risk factors between the two age groups. Middle school students exhibited a higher prevalence of suicidal ideation compared to high school students, aligning with national trends and reflecting developmental differences in vulnerability and coping mechanisms during early adolescence.
For middle school students, substance use behaviors, such as smoking and drinking, along with lower academic performance and economic hardship, were identified as significant predictors of suicidal ideation. These findings emphasize the need for early intervention and prevention programs targeting risk behaviors and environmental stressors in early adolescence. In contrast, for high school students, mental health issues, particularly depression and anxiety, were more prominent risk factors for suicidal ideation. Severe anxiety showed the strongest association, underscoring the importance of prioritizing mental health screening and providing accessible support systems to address psychological distress in high school populations.
These results highlight the necessity of age-specific and context-sensitive suicide prevention strategies for adolescents. Tailored interventions should reflect the developmental, social, and psychological differences between middle and high school students to maximize their effectiveness. Additionally, schools and policymakers should collaborate to implement comprehensive programs that address both behavioral and mental health challenges, while future research should focus on elucidating the mechanisms driving these age-specific differences and developing evidence-based interventions to reduce suicidal ideation among adolescents.

Notes

Author contributions

S Park: Methodology, Validation, Formal analysis, Writing - original draft, Writing - review & editing, Visualization. JE Hong: Methodology, Writing - original draft, Data curation. E Park: Conceptualization, Methodology, Formal analysis, Data curation, Writing - original draft, Writing - Review & editing, Supervision, Project administration, Funding acquisition.

Conflict of interest

No potential conflict of interest relevant to this article was reported.

Funding

This work was supported by the research grant of College of Nursing, Jeju National University Fund in 2024.

Acknowledgements

The authors express sincere gratitude toward all students who participated in the study.

Supplementary materials

None

References

1. World Health Organization (WHO) Suicide worldwide in 2019:Global health estimates. WHO. 2021.8.

2. Suicide rates [Internet]. Organisation for Economic Co-operation and Development. 2020 [cited 2023 Aug 17]. Available from: https://www.oecd.org/en/data/indicators/suicide-rates.html

3. Jeong SC, Kim JY, Choi MH, Lee JS, Lee JH, Kim CW, et al. Identification of influencing factors for suicidal ideation and suicide attempts among adolescents:11-Year national data analysis for 788,411 participants. Psychiatry Research. 2020;291, 113228.https://doi.org/10.1016/j.psychres.2020.113228
crossref pmid
4. Park EO, Lee HY. Factors influencing suicidal ideation among Korean adults by age:Results of the 2010-2011 Korean Health and Nutrition Examination Survey. Community Mental Health Journal. 2015;51(8):987-993. https://doi.org/10.1007/s10597-015-9863-7
crossref pmid
5. Park E, Lee HY. Urban and rural differences in suicidal ideation and associated factors among older Koreans:Results from the Korean National Survey 2012-2013. Current Psychology. 2023;(42):7002-7011. https://doi.org/10.1007/s12144-021-01962-7
crossref
6. Bustomi S, Prihayati , Puspitasari Y. Factors that affect mental health in adolescents:A literature review. Health and Technology Journal. 2024;2(4):398-404. https://doi.org/10.53713/htechj.v2i4.222
crossref
7. Zhu X, Tian L, Huebner ES. Trajectories of suicidal ideation from middle childhood to early adolescence:Risk and protective factors. Journal of Youth and Adolescence. 2019;48(9):1818-1834. https://doi.org/10.1007/s10964-019-01087-y
crossref pmid
8. Ayriza Y, Izzaty RE. No differences of adolescents'hope in terms of developmental phases and gender. Humaniora. 2023;14(2):105-111. https://doi.org/10.21512/humaniora.v14i2.8510
crossref
9. Lam CB, McHale SM, Crouter AC. Time with peers from middle childhood to late adolescence:Developmental course and adjustment correlates. Child Development. 2014;85(4):1677-1693. https://doi.org/10.1111/cdev.12235
crossref pmid pmc
10. Kim YJ, Yoo SH, Lee MH, Kim JH. A study on the status of children's and adolescents'rights in Korea VI:Final report. Sejong:National Youth Policy Institute. 2016;Report No.:16-R11.

11. Ahmed SP, Bittencourt-Hewitt A, Sebastian CL. Neurocognitive bases of emotion regulation development in adolescence. Developmental Cognitive Neuroscience. 2015;15, 11-25. https://doi.org/10.1016/j.dcn.2015.07.006
crossref pmid pmc
12. Wang MT, Degol JL, Amemiya J, Parr A, Guo J. Classroom climate and children's academic and psychological wellbeing:A systematic review and meta-analysis. Developmental Review. 2020;57, 100912.https://doi.org/10.1016/j.dr.2020.100912
crossref
13. Park JY. The differences between middle school student and high school student where child abuse have effects on adolescent suicide. Korean Journal of Family Social Work. 2010;28, 61-92. http://doi.org/10.16975/kjfsw.2010..28.003
crossref
14. Lee K, Kwon Y. Factors influencing suicidal ideation in middle school students. The Journal of the Korea Contents Association. 2014;14(11):820-828. https://dx.doi.org/10.5392/JKCA.2014.14.11.820
crossref
15. Jee YJ, Kim KN. Predictors of suicidal thoughts in high school in Korea. Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology. 2015;5(6):123-131. http://doi.org/10.35873/ajmahs.2015.5.6.012
crossref
16. Kwack YS, Shin J. Factors related with suicidality in high-school students :Focused on perceived academic performance. Journal of the Korean Academy of Child and Adolescent Psychiatry. 2011;22(4):294-301. https://dx.doi.org/10.5765/jkacap.2011.22.4.294
crossref
17. The effects of psychological factors in suicidal ideation among Korean youth. Studies on Korean Youth. 2014;25(3):199-231. http://dx.doi.org/10.14816/sky.2014.25.3.199

18. Park YS, Kim UC. The nature of educational achievement in Korea:Psychological, indigenous, and cultural perspectives. Korean Journal of Educational Psychology. 2002.16(4):325-351.

19. Lear MK, Perry KM, Stacy SE, Canen EL, Hime SJ, Pepper CM. Differential suicide risk factors in rural middle and high school students. Psychiatry Research. 2020;284, 112773.https://doi.org/10.1016/j.psychres.2020.112773
crossref pmid
20. Oppenheimer CW, Glenn CR, Miller AB. Future directions in suicide and self-injury revisited:Integrating a developmental psychopathology perspective. Journal of Clinical Child and Adolescent Psychology. 2022;51(2):242-260. https://doi.org/10.1080/15374416.2022.2051526
crossref pmid pmc
21. Klonsky ED, Saffer BY, Bryan CJ. Ideation-to-action theories of suicide:A conceptual and empirical update. Current Opinion in Psychology. 2018;22, 38-43. https://doi.org/10.1016/j.copsyc.2017.07.020
crossref pmid
22. The 18th Korea Youth Risk Behavior Web-based Survey (KYRBS) [Internet]. Korea Disease Control and Prevention Agency. 2023 [cited 2023 Aug 17]. Available from: https://www.kdca.go.kr/yhs/

23. Kim Y, Choi S, Chun C, Park S, Khang YH, Oh K. Data resource profile:The Korea Youth Risk Behavior Web-based Survey (KYRBS). International Journal of Epidemiology. 2016;45(4):1076-1076e. https://doi.org/10.1093/ije/dyw070
crossref pmid
24. Park E, Lee HY. The residential, area-specific prevalence and associated factors of suicidal ideation among South Korean adolescents. Preventive Medicine Reports. 2024;41, 102698.https://doi.org/10.1016/j.pmedr.2024.102698
crossref pmid pmc
25. Park E. The influences of mental health problem on suicide-related behaviors among adolescents:Based on Korean Youth Health Behavior Survey. The Journal of Korean Academic Society of Nursing Education. 2023;29(1):98-108. https://doi.org/10.5977/jkasne.2023.29.1.98
crossref
26. Nock MK, Green JG, Hwang I, McLaughlin KA, Sampson NA, Zaslavsky AM, et al. Prevalence, correlates, and treatment of lifetime suicidal behavior among adolescents:Results from the National Comorbidity Survey Replication Adolescent Supplement. JAMA Psychiatry. 2013;70(3):300-310. https://doi.org/10.1001/2013.jamapsychiatry.55
crossref pmid pmc
27. Suh HN. A longitudinal study of adolescents'suicidal ideation:Focusing on the effect of stress and depression. Korean Journal of Psychology:General. 2011.30(3):629-646.

28. Lee TH, Kim KH. Analysis of predictors of suicidal ideation trajectory among adolescence:Using LCGA and XGBoost. Korean Journal of Youth Studies. 2023;30(10):31-59. http://doi.org/10.21509/KJYS.2023.10.30.10.31
crossref
29. Dupéré V, Leventhal T, Lacourse E. Neighborhood poverty and suicidal thoughts and attempts in late adolescence. Psychological Medicine. 2009;39(8):1295-1306. https://doi.org/10.1017/s003329170800456x
crossref pmid
30. Cho H, Hallfors DD, Iritani BJ. Early initiation of substance use and subsequent risk factors related to suicide among urban high school students. Addictive Behaviors. 2007;32(8):1628-1639. https://doi.org/10.1016/j.addbeh.2006.11.017
crossref pmid pmc


ABOUT
BROWSE ARTICLES
FOR CONTRIBUTORS
Editorial Office
Department of Nursing, Chungbuk National University
1 Chungdae-ro, Seowon-gu, Cheongju-si, Chungcheongbuk-do, 28644, Korea
Tel: +82-2-740-8468    E-mail: alstjd8149@snu.ac.kr                

Copyright © 2025 by The Korean Academic Society of Nursing Education.

Developed in M2PI

Close layer
prev next