Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Suicidal behaviours among in-school adolescents in Mozambique: Cross-sectional evidence of the prevalence and predictors using the Global School-Based Health Survey data

  • Abdul-Aziz Seidu ,

    Contributed equally to this work with: Abdul-Aziz Seidu, Hubert Amu

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliations Department of Population and Health, University of Cape Coast, Cape Coast, Ghana, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia

  • Hubert Amu ,

    Contributed equally to this work with: Abdul-Aziz Seidu, Hubert Amu

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

    hamu@uhas.edu.gh

    Affiliation Department of Population and Behavioural Sciences, School of Public Health, University of Health and Allied Sciences, Hohoe, Ghana

  • Louis Kobina Dadzie,

    Roles Data curation, Formal analysis, Investigation, Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Population and Health, University of Cape Coast, Cape Coast, Ghana

  • Abigail Amoah,

    Roles Conceptualization, Methodology, Resources, Software, Supervision, Validation, Writing – original draft, Writing – review & editing

    Affiliation Department of Population and Health, University of Cape Coast, Cape Coast, Ghana

  • Bright Opoku Ahinkorah,

    Roles Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation The Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia

  • Edward Kwabena Ameyaw,

    Roles Methodology, Project administration, Resources, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation The Australian Centre for Public and Population Health Research (ACPPHR), Faculty of Health, University of Technology Sydney, Sydney, Australia

  • Henry Yaw Acheampong,

    Roles Conceptualization, Data curation, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing

    Affiliation Department of Education and Psychology, Faculty of Educational Foundations, College of Education Studies, University of Cape Coast, Cape Coast, Ghana

  • Kwaku Kissah-Korsah

    Roles Conceptualization, Investigation, Methodology, Supervision, Writing – original draft, Writing – review & editing

    Affiliation Department of Population and Health, University of Cape Coast, Cape Coast, Ghana

Abstract

Introduction

Despite interventions by low and middle-income countries toward the achievement of the global Sustainable Development Goal (SDG) on promoting mental health and well-being of their populace by the year 2030, suicidal behaviours continue to be major causes of premature mortality, especially among young people. This study examined the prevalence and predictors of suicidal behaviours among in-school adolescents in Mozambique.

Materials and methods

This was a cross-sectional study of 1918 in-school adolescents using data from the 2015 Global School-based Health Survey (GSHS) of Mozambique. The outcome variables (suicidal ideation, suicidal plan, and suicidal attempt) were measured with single items in the survey. Both bivariate and multivariate analyses were performed using chi-square test of independence and binary logistic regression respectively. Results are presented as Adjusted Odds Ratios for the binary logistic regression analysis. Statistical significance was set at p<0.05.

Results

The prevalence of suicidal behaviours 12 months prior to the survey were 17.7%, 19.6% and 18.5% for suicidal ideation, suicidal plan, and suicidal attempt respectively. Adolescents who experienced anxiety had higher odds of suicidal ideation [AOR = 1.616, 95%CI = 1.148–2.275], suicidal plan [AOR = 1.507, 95%CI = 1.077–2.108], and suicidal attempt [AOR = 1.740, 95%CI = 1.228–2.467]. Adolescents who were physically attacked in school were also more likely to ideate [AOR = 1.463, 95%CI = 1.115–1.921], plan [AOR = 1.328, 95%CI = 1.020–1.728], and attempt [AOR = 1.701, 95%CI = 1.306–2.215] suicide. Having close friends was, however, an important protective factor against suicidal ideation [AOR = 0.694, 95%CI = 0.496–0.971], plan [AOR = 0.625, 95%CI = 0.455–0.860], and attempt [AOR = 0.529, 95%CI = 0.384–0.729]. Peer support also reduced the risk of suicidal ideation [AOR = 0.704, 95%CI = 0.538,0.920] and plan [AOR = 0.743, 95%CI = 0.572,0.966] among the in-school adolescents.

Conclusion

Suicidal behaviours constitute major public health challenges among in-school adolescents in Mozambique. The behaviours are predominant among adolescents who are physically attacked and those who experience anxiety. Conversely, having close friends serves as a protective factor against suicidal behaviours. To ensure that Mozambique meets the SDG target of promoting the mental health of all by the year 2030, the Government of Mozambique and educational authorities should urgently design and implement innovative interventions and strengthen existing ones that seek to address physical attacks and anxiety among in-school adolescents. School administrations should also incorporate programmes that seek to congregate students and offer platforms for social interaction and cohesion.

Introduction

Despite efforts by countries across the globe to achieve the Sustainable Development Goal (SDG) 3.4 target of promoting the mental health and well-being of their populace by the year 2030 [1], suicidal behaviours remain a major public health concern [2]. Suicidal behaviours entail the spectrum of thoughts that include suicidal ideation, plan, and attempt through fatal completion of suicide which is one of the major causes of premature mortality [3,4]. Globally, about 800,000 people die from suicide every year and 79% of these deaths occur in low- and middle-income countries (LMICs) [5]. Among young people especially adolescents, suicide accounts for an estimated 6% of all deaths [6]. A study conducted among adolescents by Silva et al. [7] reported the prevalence of suicidal ideation, plan, and attempt among adolescents in Brazil as 14%, 9.5%, and 5.9% respectively. In a study conducted among in-school adolescents in LMICs, Uddin et al. [8] found the overall prevalence of suicidal ideation, plan, and attempt as 16.9%, 17.0%, 17.0% respectively.

In sub-Saharan Africa, annual mortality from suicide is estimated at over 34,000 in the general population [9]. Among in-school adolescents, a Ghanaian study by Asante et al. [10] found the prevalence of suicidal ideation, plan, and attempt to be 18.2%, 22.5% and 22.2% respectively. Dunlavy et al. [11] also reported in a Tanzanian study that 7% of in-school adolescents had thought about committing suicide, but 6.3% devised a plan to carry out the suicide. Randall et al. [12] also reported in a Benin study that 23.2% of adolescents had ideated suicide and 28.3% attempted committing suicide. The prevalence of suicidal ideation and attempt among adolescents in Ethiopia were also estimated to be 22.5% and 16.2% respectively [13]. There is, however, a paucity of the empirical literature on the prevalence of suicidal behaviours among adolescents in Mozambique which warranted the conduct of the current study.

Piloted in 1999 with nationwide scale-up in 2007, the Programa Geração Biz (“busy generation”) (PGB) has been a multi-sectoral intervention [14] in Mozambique implemented by the Ministry of Youth and Sports, Ministry of Education, and Ministry of Health to address health needs of adolescents including suicidal behaviours [15]. While it helped to improve healthcare facility visits by adolescents among other achievements [16,17], challenges persist in its operations. For instance, complexity with the multi-sectoral approach, inadequate resources, sparse staffing, and social norms induced resistance militated against the effective implementation of the PGB [14].

Regarding school enrollment, the World Bank [18] indicates that in 2015, primary school enrollment (% net) in Mozambique was 93.93%. Comparatively, while enrollment was 95.38% among males, female primary school enrollment was 92.48%. For secondary education, the total enrollment (% net) was 19.28% in 2015. This was specifically 19.23% for males and 19.32% among females [18].

Suicidal behaviours are influenced by cultural, environmental, genetic, and psychiatric factors [1921]. According to Kokkevi et al. [22], the major risk factors of suicidal behaviours among adolescents include being a female, exposure to bullying and violence, alcohol and drug use, mental disorders, as well as weak family and peer relationships. Amare et al. [13] also found that school absenteeism, poor social support, and experience of violence are key predictors of suicidal ideation and attempt. Parellada et al. [23] also indicated that suicidal attempts among adolescents are influenced by the physical changes and varied emotional experiences in their environment. Evidence also suggests that parent-child relationships are associated with suicidal behaviours among adolescents [10]. Specifically, some studies have found that parental involvement could serve as protective factors against suicidal behaviours among adolescents. For example, parental factors such as parental bonding (parental knowledge on children’s free time), parental connectedness (understanding of children’s problems), parental supervision (checking children’s homework) have been shown to be protective against adolescents’ suicidal behaviours [10,12,24].

In Mozambique, however, the empirical literature on the predictors of suicidal behaviours among adolescents is limited. The current study, therefore, examined suicidal behaviours and their predictors among in-school adolescents in Mozambique. The findings will help in bridging the literature gap and inform policy decisions regarding the planning and implementation of interventions that will contribute to the mitigation of suicidal behaviours among in-school adolescents.

Materials and methods

Description of the survey

This was a cross-sectional study which used data from the 2015 Mozambique Global School-based Health Survey (GSHS) collected using a clustered sample design. It was carried out by the World Health Organization (WHO) in collaboration with the United Nations Children’s Fund (UNICEF), United Nations Educational, Scientific and Cultural Organization (UNESCO), and The Joint United Nations Programme on HIV and AIDS (UNAIDS) with technical assistance from the Centres for Diseases Control and Prevention (CDC) [25]. The GSHS aims to provide data on health and social behaviours among in-school adolescents. The Mozambique GSHS was a school-based survey of students in Class 8–12, which are typically attended by students aged 13–17. A two-stage cluster sample design was used to sample participants who were representative of all students in Class 8–12 in Mozambique. The initial stage of the sampling was characterized by the selection of schools with probability proportional to enrolment size. This was followed by randomly selecting classes and all students in selected classes were eligible to participate in the study. The Mozambique GSHS measured alcohol use, dietary behaviours, drug use, hygiene, mental health, physical activity, protective factors, sexual behaviours, tobacco use, violence and unintentional injury. The students answered the survey questionnaires on a computer scannable answer sheet. The school response rate was 97%, the student response rate was 83%, and the overall response rate was 80%. A total of 1,918 students participated in the survey and were all included in our analysis. Before the commencement of the survey, permission to carry out the study was obtained from the Ministries of Health and Education. Informed consent to participate in the study was obtained from school managers and students. Students anonymously and voluntarily completed the questionnaire. The dataset is freely available for download at https://www.who.int/ncds/surveillance/gshs/mozambiquedataset/en/. We followed the ‘Strengthening the Reporting of Observational Studies in Epidemiology’ (STROBE) statement in conducting this study and writing the manuscript (see S1 Table).

Study variables

The study considered three outcome variables. These were suicidal ideation, suicidal plan and suicidal attempts [8,9,11,24]. From the dataset, each of these three variables was measured with a single self-reported item or question. The item, “during the past 12 months, did you ever seriously consider attempting suicide?” was used to measure suicidal ideation while suicidal plan was measured with the question, “during the past 12 months, did you make a plan about how you would attempt suicide?” The responses for suicidal ideation and suicidal plan were categorised as “yes” (1) or “no” (0). Suicidal attempt was measured with the question “during the past 12 months, how many times did you actually attempt suicide?” The responses for these questions were “0”, “1”, “2 or 3”, “4 or 5”, and “6 or more times”. The responses were, however, recoded as no attempt (0) and one or more attempts (1) for analysis. Twenty explanatory variables were used to determine their predictive effects on the three outcome variables. These were chosen based on previous studies [10,13,24,26,27]. Detailed descriptions of the variables are presented in S2 Table.

Data analyses

The 2015 Mozambique GSHS dataset has more than 5% missing values that are missing at random (MAR) pattern. To account for the consistency of the dedicated sample size values of each variable throughout the analyses, we adopted a multiple imputation method to handle the missing values [10, 24]. A full conditional specification method was used after automatic command scanned for the data which were missing at random. A maximum of five imputations were run to allow for > 97% efficiency [24]. Data analyses were performed using STATA version 14.2 software for Mac OS. Due to the nature of the study design, a weighting factor was used in the analysis to reflect the likelihood of sampling each pupil and to reduce bias by compensating for differing patterns of nonresponse. A descriptive analysis was done to describe the general characteristics of the study population, the prevalence of the three outcomes and reported p-values of Pearson’s Chi-Square (bivariate analysis). At the bivariate analysis stage, due to multiple-testing, we introduced a correction method by using the Bonferroni correction method. This was done by dividing the alpha rate (p = 0.05) by the number of analysis performed (20 explanatory variables). Thus, 0.05/20 = 0.0025. Therefore, at the bivariate analysis, statistical significance was declared at p≤0.003. Multicollinearity was checked with the Variance Inflation Factor (Mean VIF = 1.21, Maximum VIF = 1.88, Minimum VIF = 1.02). All the statistically significant variables (p-value p≤0.003) were included in the multivariate analyses. The multivariate analyses in the form of binary logistic regression models were used to determine the strength of association between the explanatory and the outcome variables. The results from the regression analyses were presented as adjusted odds ratios (AOR). The reference categories for all the explanatory variables were informed by previous studies [9,12,19,20] and a priori. The two-sided 95% confidence intervals are reported.

Results

Bivariate results

Table 1 presents results on the relationship between the explanatory variables and suicidal behaviours among adolescents in Mozambique. The prevalence of suicidal behaviours were 17.7%, 19.6% and 18.5% for suicidal ideation, suicidal plan and suicidal attempt, respectively. The chi-square analyses showed that the number of close friends, anxiety, experiencing hunger, being bullied, engaging in a fight, being attacked, and sustaining an injury were significantly associated with suicidal ideation, plan and attempt. Age and truancy and were only statistically associated with suicidal ideation. Loneliness, tobacco use, and parental connectedness only showed statistically significant association with suicidal plan and attempt. Age was only associated with suicidal ideation, smoke was only associated with suicidal attempt, while parental bonding was only associated with the suicidal plan.

thumbnail
Table 1. Bivariate relationship between explanatory variables and suicidal behaviours among adolescents in Mozambique.

https://doi.org/10.1371/journal.pone.0236448.t001

Multivariate results

Table 2 presents results from the multivariate logistic regression analyses on the predictors of suicidal ideation, plan and attempt. Concerning suicidal ideation, adolescents who experienced anxiety [AOR = 1.616,95%CI = 1.148,2.275] and hunger [AOR = 1.321, 95%CI = 1.029,1.697], those who were physically attacked [AOR = 1.463, 95%CI = 1.115,1.921], and sustained injuries [AOR = 1.319, 95%CI = 1.024,1.700] had higher odds of suicidal ideation. Adolescents who had close friends [AOR = 0.694, 95%CI = 0.496,0.971] and whose peers were supportive [AOR = 0.704, 95%CI = 0.538,0.920] had lower odds of suicidal ideation. With suicidal plan, those who were anxious [AOR = 1.507, 95%CI = 1.077,2.108], attacked [AOR = 1.328, 95%CI = 1.020,1.728] and who sustained injuries [AOR = 1.643, 95%CI = 1.285,2.101] had higher odds of planning suicide. Adolescents who had close friends [AOR = 0.625, 95%CI = 0.455,0.860] and supportive friends [AOR = 0.743, 95%CI = 0.572,0.966] were, however, less likely to plan suicide. For suicidal attempt, adolescents who were anxious [AOR = 1.740, 95%CI = 1.228,2.467]], those who used tobacco [AOR = 2.162, 95%CI = 1.170,3.994], those who were physically attacked [AOR = 1.701, 95%CI = 1.306,2.215], bullied [AOR = 1.461[1.139,1.873], and sustained injuries [AOR = 1.659, 95%CI = 1.288,2.137] were more likely to attempt suicide. On the contrary, adolescents who had close friends [AOR = 0.529, 95%CI = 0.384,0.729] had lower odds of attempting suicide.

thumbnail
Table 2. Multivariate logistic regression analyses on the predictors of suicidal behaviours among adolescents in Mozambique.

https://doi.org/10.1371/journal.pone.0236448.t002

Discussion

This was a cross-sectional study of in-school adolescents based on the 2015 GSHS of Mozambique. The prevalence of suicidal behaviours were 17.7%, 19.6% and 18.5% for suicidal ideation, suicidal plan and suicidal attempt respectively. These findings are consistent with those reported in Ghana [10], Benin [12] and Ethiopia [13]. However, the prevalence in the current study are relatively higher than what was reported in Nepal [28] and Tanzania [11]. The possible reasons accounting for the variations in study findings could be the differences in the measurement of suicidal behaviours as well as differences in time and study settings. For example, Asante et al. [10] in Ghana and Randal et al. [12] in Benin reported 12 months-prevalence. However, Amare et al. [13] reported lifetime prevalence. Also, Cheng et al. [29] indicated that there are complexities surround the factors that predispose an individual to suicidal behaviours in various environments.

We found that adolescents who went hungry in school were at a higher risk of ideating suicide. This points to the overarching role of poverty in adversely affecting the general school performance of adolescents which in the case of the present study is related to their mental health [30,31]. The finding confirms previous studies which have argued that poor adolescents who go hungry in school are more likely to report suicidal behaviours than the rich ones [32,33]. The fact that hungry adolescents had higher odds of ideating suicide could be due to the psychological strain hunger exerts on their mental health [34].

Being physically attacked and sustaining injury were all risk factors for suicidal ideation, plan, and attempt among in-school adolescents in the present study. This finding corroborates other studies which posited that suicidal behaviours among adolescents are related to having a history of physical abuse [10,35,36]. The adolescents might have ideated, planned, and attempted suicide after being physically abused and sustaining injuries due to trauma, cognitive distortions, and humiliation they might have experienced which they may have to live with for the rest of their lives [37]. This reiterates the need for Mozambican authorities to implement innovative interventions and strengthen existing ones that seek to support victims of physical attack to ensure achievement of SDG goal 3.4 by the year 2030.

Our study revealed that bullying is a significant risk factor for suicidal attempt among in-school adolescents. This justifies arguments that bullying has become lethal and pervasive in schools, deprives students of their chances to learn, and exacts mental scars that last throughout their lifetime [3840]. Our findings regarding bullying are congruent to Alavi et al.’s [41] postulations that adolescents with suicidal attempt are more likely to report ever being bullied. Van Geel et al. [42] also argued that all forms of bullying are importantly linked with increases in suicidal attempt among adolescents. Our finding regarding suicidal plan and attempt among bullied adolescents could be due to the potential psychological problems including stress, anxiety and depression that they might have experienced. This is because, several previous studies have argued that adolescents who are bullied publicly in front of their peers develop a sense of shame and dishonour from the victimization and further exposes them to episodes of stress, anxiety, and depression which in turn could induce them to attempt suicide [4346]. Our finding of anxiety as an important predictor of suicidal behaviours is indicative of this assertion. There is, therefore, the need for authorities and other stakeholders to institute or strengthen existing measures to tackle bullying in schools as well as rehabilitative measures to support psychologically distressed adolescents, to help achieve the global agenda of SDG 3.4 which entreats all governments across LMICs to promote mental health and well-being by the year 2030 [1].

We realised that having close friends served as a protective factor against suicidal ideation, plan and attempt among adolescents. In-school adolescents who had support from their peers were also protected from experiencing suicidal plan and attempt. The findings regarding close friends and peer support highlight the role of social support in mitigating the adverse effects of mental health challenges on the psychosocial development of adolescents [4749]. Our finding could be because adolescents mostly turn to their close friends as their source of emotional, financial, advice and other possible supports during a time of crisis or need [50,51]. This is probably because they find it easy and safe to confine in their close friends regarding their challenges. These challenges include poor academic performance and romantic relationship problems which have negative mental health implications including suicidal behaviours [5255].

Strengths and limitations

A key strength of this study is that it is the first empirical effort to comprehensively understand suicidal behaviours among in-school adolescents in Mozambique using the Global School-Based Health Survey data. Recommendations made are thus useful for policy-makers regarding the interventions needed to reduce such behaviours among adolescents especially in school environments. The use of multivariate logisitic regression also ensured that we were able to measure the extent of association that the explanatory variables had on the outcome variables while controlling for several confounders. Additionally, since the study has used the globally standardized methodology of the Global School-Based Health Survey, study findings are also comparable to other countries adopting the same or similar methodology [28].

Despite the important findings and the rigour involved in our analyses, the study results should be interpreted with these limitations in mind. First, our study shares all the shortfalls associated with cross-sectional study designs more especially regarding the establishment of causality. Secondly, there is the possibility of recall and social desirability biases from the adolescents [10,28]. Thirdly, the fact that our study focused on only in-school adolescents means that the results are not generalizable to all adolescents in the country [24]. Moreover, since the study used secondary data, GSHS, information on other variables such as socioeconomic status, religious affiliation, social participation and psychological co-morbidities that could be important in characterizing suicidal behaviours could not be assessed [28]. Additionally, family history of suicidal behaviours and the number of guardians/parents were not available in the dataset [24]. However, evidence suggests that traces and experiences of suicidal behaviours among other family members, family discord, death of a parent as well as divorce increase the risk of suicidal behaviours among adolescents [56]. Adding these variables could have further strengthened our study. Furthermore, all the outcome variables were measured with single items. In terms of missing values of the outcome variables, 92 (4.80%), 94(4.9%), and 57 (2.9%) responses for suicidal ideaion, plan and attempt were respectively missing and were imputed using multiple imputation method.

Conclusion

Suicidal behaviours constitute major public health challenge among in-school adolescents in Mozambique. Adolescents most at risk of these behaviours are those who are bullied, physically attacked, those who sustain injuries and adolescents who go hungry in school. Having close friends and getting support from peers, however, protect in-school adolescents against the risk of suicidal behaviours. To ensure that Mozambique meets the SDG 3 target of promoting the mental health of all by the year 2030, the Government and educational authorities of the country should urgently design and implement innovative interventions as well as strengthen existing ones that seek to address bullying, physical attack, and injury among adolescents. School administrations should also incorporate programmes that seek to congregate students and offer platforms for social interactions and cohesion.

Supporting information

S1 Table. STROBE statement—Checklist of items that should be included in reports of cross-sectional studies.

https://doi.org/10.1371/journal.pone.0236448.s001

(DOC)

Acknowledgments

We acknowledge the WHO for providing us with the data on which the findings of this study were based. We also acknowledge Mr. Ebenezer Agbaglo of the Department of English, University of Cape Coast, who thoroughly copy-edited this manuscript for language usage, spelling, and grammar.

References

  1. 1. United Nations. Transforming our world: The 2030 agenda for sustainable development. New York: United Nations; 2015.
  2. 2. Mthembu JC, Mabaso ML, Khan G, Simbayi LC. Prevalence of psychological distress and its association with socio-demographic and HIV-risk factors in South Africa: findings of the 2012 HIV prevalence, incidence and behaviour survey. SSM-population health. 2017 Dec 1;3:658–62. pmid:29349254
  3. 3. Catallozzi M, Pletcher JR, Schwarz DF. Prevention of suicide in adolescents. Current opinion in pediatrics. 2001 Oct 1;13(5):417–22. pmid:11801885
  4. 4. Kennebeck S, Bonin L. Suicidal behavior in children and adolescents: Epidemiology and risk factors; 2017.
  5. 5. World Health Organisation. Suicide: Key facts. WHO; 2019. https://www.who.int/en/news-room/fact-sheets/detail/suicide
  6. 6. McKinnon B, Gariépy G, Sentenac M, Elgar FJ. Adolescent suicidal behaviours in 32 low-and middle-income countries. Bulletin of the World Health Organization. 2016 May 1;94(5):340. pmid:27147764
  7. 7. Silva RJ, Santos FA, Soares NM, Pardono E. Suicidal ideation and associated factors among adolescents in northeastern Brazil. The Scientific World Journal. 2014.
  8. 8. Uddin R, Burton NW, Maple M, Khan SR, Khan A. Suicidal ideation, suicide planning, and suicide attempts among adolescents in 59 low-income and middle-income countries: a population-based study. The Lancet Child & Adolescent Health. 2019 Apr 1;3(4):223–33.
  9. 9. Mars B, Burrows S, Hjelmeland H, Gunnell D. Suicidal behaviour across the African continent: a review of the literature. BMC public health. 2014 Dec 1;14(1):606.
  10. 10. Asante KO, Kugbey N, Osafo J, Quarshie EN, Sarfo JO. The prevalence and correlates of suicidal behaviours (ideation, plan and attempt) among adolescents in senior high schools in Ghana. SSM-population health. 2017 Dec 1;3:427–34. pmid:29349236
  11. 11. Dunlavy AC, Aquah EO, Wilson ML. Suicidal ideation among school-attending adolescents in Dar es Salaam, Tanzania. Tanzania Journal of Health Research. 2015;17(1).
  12. 12. Randall JR, Doku D, Wilson ML, Peltzer K. Suicidal behaviour and related risk factors among school-aged youth in the Republic of Benin. PloS One. 2014;9(2).
  13. 13. Amare T, Meseret Woldeyhannes S, Haile K, Yeneabat T. Prevalence and associated factors of suicide ideation and attempt among adolescent high school students in Dangila Town, Northwest Ethiopia. Psychiatry Journal; 2018. pmid:29992132
  14. 14. Chandra-Mouli V, Gibbs S, Badiani R, Quinhas F, Svanemyr J. Programa Geração Biz, Mozambique: how did this adolescent health initiative grow from a pilot to a national programme, and what did it achieve?. Reproductive health. 2015 Dec;12(1):12.
  15. 15. Simon C, Silveira C. Programa Geração Biz (PGB): overview. 2012.
  16. 16. WHO: From inception to large scale: the Geração Biz Programme in Mozambique. Geneva: Pathfinder International & WHO; 2009.
  17. 17. Sanchez M, Taela K, Pateguana P, Singano C: In depth Review of Geração Biz Program in Mozambique. Oslo: Scanteam; 2012.
  18. 18. The World Bank. School Enrollment, Secondary (% Net); 2020. https://tradingeconomics.com/mozambique/school-enrollment-secondary-percent-net-wb-data.html
  19. 19. Patel V, Flisher AJ, Hetrick S, McGorry P. Mental health of young people: a global public-health challenge. The Lancet. 2007 Apr 14;369(9569):1302–13.
  20. 20. Turecki G, Brent DA. Suicide and suicidal behaviour. The Lancet. 2016 Mar 19;387(10024):1227–39.
  21. 21. Zai CC, George J, Cheema SY, Zai GC, Fonseka TM, Danesi M, et al. An examination of genes, stress and suicidal behavior in two First Nations communities: The role of the brain-derived neurotropic factor gene. Psychiatry research. 2019 May 1;275:247–52. pmid:30933702
  22. 22. Kokkevi A, Rotsika V, Arapaki A, Richardson C. Adolescents’ self-reported suicide attempts, self-harm thoughts and their correlates across 17 European countries. J Child Psychol Psychiatry. 2012 Apr;53(4):381–9. pmid:21895649
  23. 23. Parellada M, Saiz P, Moreno D, Vidal J, Llorente C, Alvarez M, et al. Is attempted suicide different in adolescent and adults? Psychiatry Res. 2008;157:131–7. pmid:17888518
  24. 24. Shayo FK, Lawala PS. Does food insecurity link to suicidal behaviors among in-school adolescents? Findings from the low-income country of sub-Saharan Africa. BMC psychiatry. 2019 Dec;19(1):227. pmid:31340781
  25. 25. World Health Organisation (WHO). Global school-based student health survey (GSHS). Geneva: WHO; 2020. https://www.who.int/ncds/surveillance/gshs/mozambique/en/
  26. 26. Muula AS, Kazembe LN, Rudatsikira E, Siziya S. Suicidal ideation and associated factors among in-school adolescents in Zambia. Tanzania Journal of Health Research. 2007;9(3):202–6.
  27. 27. Adewuya AO, Oladipo EO. Prevalence and associated factors for suicidal behaviours (ideation, planning, and attempt) among high school adolescents in Lagos, Nigeria. European Child & Adolescent Psychiatry. 2019 Dec 19:1–0.
  28. 28. Pandey AR, Bista B, Dhungana RR, Aryal KK, Chalise B, Dhimal M. Factors associated with suicidal ideation and suicidal attempts among adolescent students in Nepal: Findings from Global School-based Students Health Survey. PloS one. 2019;14(4).
  29. 29. Cheng Y, Tao M, Riley L, Kann L, Ye L, Tian X, et al. Protective factors relating to decreased risks of adolescent suicidal behaviour. Child: care, health and development. 2009 May;35(3):313–22.
  30. 30. Jensen E. How poverty affects classroom engagement. Educational Leadership. 2013 May 1;70(8):24–30.
  31. 31. Yoshikawa H, Aber JL, Beardslee WR. The effects of poverty on the mental, emotional, and behavioral health of children and youth: implications for prevention. American Psychologist. 2012 May;67(4):272. pmid:22583341
  32. 32. Koyanagi A, Stubbs B, Oh H, Veronese N, Smith L, Haro JM. et al. Food insecurity (hunger) and suicide attempts among 179,771 adolescents attending school from 9 high-income, 31 middle-income, and 4 low-income countries: A cross-sectional study. Journal of affective disorders. 2019 Apr 1;248:91–8. pmid:30716616
  33. 33. Wilson ML, Dunlavy AC, Viswanathan B, Bovet P. Suicidal expression among school-attending adolescents in a middle-income sub-Saharan country. International journal of environmental research and public health. 2012 Nov;9(11):4122–34. pmid:23202835
  34. 34. Weinreb L, Wehler C, Perloff J, Scott R, Hosmer D, Sagor L, et al. Hunger: its impact on children’s health and mental health. Pediatrics. 2002 Oct 1;110(4):e41–. pmid:12359814
  35. 35. Baetens I, Claes L, Muehlenkamp J, Grietens H, Onghena P. Non-suicidal and suicidal self-injurious behavior among Flemish adolescents: A web-survey. Archives of Suicide Research. 2011 Jan 28;15(1):56–67. pmid:21294000
  36. 36. Andover MS, Morris BW, Wren A, Bruzzese ME. The co-occurrence of non-suicidal self-injury and attempted suicide among adolescents: distinguishing risk factors and psychosocial correlates. Child and adolescent psychiatry and mental health. 2012 Dec;6(1):11.
  37. 37. Weismoore JT, Esposito-Smythers C. The role of cognitive distortion in the relationship between abuse, assault, and non-suicidal self-injury. Journal of youth and adolescence. 2010 Mar 1;39(3):281–90. pmid:19784765
  38. 38. Arhin DK, Asante KO, Kugbey N, Oti-Boadi M. The relationship between psychological distress and bullying victimisation among school-going adolescents in Ghana: a cross-sectional study. BMC research notes. 2019 Dec;12(1):264. pmid:31077253
  39. 39. National Education Association. Bullying Prevention in Public Schools: An NEA policy brief; 2020. http://www.nea.org/assets/docs/Bullying-PreventioninPublicSchools-PolicyBrief.pdf
  40. 40. Elbedour S, Alqahtani S, Rihan IE, Bawalsah JA, Booker-Ammah B, Turner JF Jr. Cyberbullying: Roles of school psychologists and school counselors in addressing a pervasive social justice issue. Children and Youth Services Review. 2020 Feb 1;109:104720.
  41. 41. Alavi N, Reshetukha T, Prost E, Antoniak K, Patel C, Sajid S, et al. Relationship between bullying and suicidal behaviour in youth presenting to the emergency department. Journal of the Canadian Academy of Child and Adolescent Psychiatry. 2017 Jul;26(2):70. pmid:28747929
  42. 42. Van Geel M, Vedder P, Tanilon J. Relationship between peer victimization, cyberbullying, and suicide in children and adolescents: a meta-analysis. JAMA pediatrics. 2014 May 1;168(5):435–42. pmid:24615300
  43. 43. Binder P, Heintz AL, Servant C, Roux MT, Robin S, Gicquel L, et al. Screening for adolescent suicidality in primary care: the bullying–insomnia–tobacco–stress test. A population‐based pilot study. Early intervention in psychiatry. 2018 Aug;12(4):637–44. pmid:27153149
  44. 44. Najafi M, Kermani Mamazandi Z, Akbari Balutbangan A. The relationship of anxiety, stress, and depression with suicidal thoughts among female adolescents: The meditating role of victim of bullying. Journal of Fundamentals of Mental Health. 2017;19(5):401–7.
  45. 45. Gunn JF, Goldstein SE. Bullying and suicidal behavior during adolescence: A developmental perspective. Adolescent research review. 2017 Jun 1;2(2):77–97.
  46. 46. Nii-Boye Quarshie E, Osafo J, Akotia CS, Peprah J. Adolescent suicide in Ghana: A content analysis of media reports. International journal of qualitative studies on health and well-being. 2015 Jan 1;10(1):27682.
  47. 47. Harandi TF, Taghinasab MM, Nayeri TD. The correlation of social support with mental health: A meta-analysis. Electronic physician. 2017 Sep;9(9):5212. pmid:29038699
  48. 48. Cooley JL, Fite PJ, Rubens SL, Tunno AM. Peer victimization, depressive symptoms, and rule-breaking behavior in adolescence: The moderating role of peer social support. Journal of Psychopathology and Behavioral Assessment. 2015 Sep 1;37(3):512–22.
  49. 49. Lovell B, Moss M, Wetherell MA. With a little help from my friends: Psychological, endocrine and health corollaries of social support in parental caregivers of children with autism or ADHD. Research in developmental disabilities. 2012 Mar 1;33(2):682–7. pmid:22186636
  50. 50. Shilubane HN, Ruiter RAC, Bos AER, Reddy PS, van den Borne B. High school students’ knowledge and experience with a peer who committed or attempted suicide: a focus group study
  51. 51. Fenclau EJ. Cyberbullying, Suicidal Behavior, and Emotional Intelligence: A Portentous Combination; 2016.
  52. 52. Corsano P, Musetti A, Caricati L, Magnani B. Keeping secrets from friends: Exploring the effects of friendship quality, loneliness and self-esteem on secrecy. Journal of adolescence. 2017 Jul 1;58:24–32. pmid:28475931
  53. 53. Kim M, Chen JL, Kools S, Weiss S. Close Friendships and Mental Health of Korean American Adolescents: The Moderating Effect of Personality. Psychology. 2018 Jan 17;9(01):101.
  54. 54. Fredrick SS, Demaray MK, Malecki CK, Dorio NB. Can social support buffer the association between depression and suicidal ideation in adolescent boys and girls?. Psychology in the Schools. 2018 May;55(5):490–505.
  55. 55. Schacter HL, Margolin G. The interplay of friends and parents in adolescents’ daily lives: Towards a dynamic view of social support. Social Development. 2019 Aug;28(3):708–24. pmid:31741574
  56. 56. Cash SJ, Bridge JA. Epidemiology of youth suicide and suicidal behavior. Current opinion in pediatrics. 2009 Oct;21(5):613. pmid:19644372