South African Family Practice
1980 | 5,878,395 words
The South African Family Practice (SAFP) journal, the official publication of the South African Academy of Family Physicians (SAAFP), caters to professionals in both public and private primary health care in Southern Africa. SAFP publishes peer-reviewed research, reviews, and commentary focused on family medicine and primary care, supporting contin...
Suicide attempts among students of higher education, Nelson Mandela Bay...
Adeyinka A. Alabi,
Department of Family Medicine, Faculty of Health Science, Walter Sisulu University, Port Elizabeth, South Africa; and, Department of Family Medicine, Dora Nginza Provincial Hospital, Port Elizabeth, South Africa
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Year: 2022 | Doi: 10.4102/safp.v64i1.5609
Copyright (license): Creative Commons Attribution 4.0 International (CC BY 4.0) license.
[Full title: Suicide attempts among students of higher education, Nelson Mandela Bay Municipality, South Africa]
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[Summary: This page introduces a study on suicide attempts among higher education students in Nelson Mandela Bay Municipality, South Africa. It highlights suicide as a global public health issue and a leading cause of death among young people. The study aims to determine the prevalence and associated factors of suicide attempts among college students.]
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Read online: Scan this QR code with your smart phone or mobile device to read online Page 1 of 7 Original Research https://www.safpj.co.za Open Access South African Family Practice ISSN: (Online) 2078-6204, (Print) 2078-6190 Author: Adeyinka A. Alabi 1,2 Affiliations: 1 Department of Family Medicine, Faculty of Health Science, Walter Sisulu University, Port Elizabeth, South Africa 2 Department of Family Medicine, Dora Nginza Provincial Hospital, Port Elizabeth, South Africa Corresponding author: Adeyinka Alabi, adeyinkaalabi@yahoo.com Dates: Received: 21 Aug. 2022 Accepted: 26 Aug. 2022 Published: 08 Nov. 2022 How to cite this article: Alabi AA. Suicide attempts among students of higher education, Nelson Mandela Bay Municipality, South Africa. S Afr Fam Pract. 2022;64(1), a 5609. https:// doi.org/10.4102/safp. v 64 i 1.5609 Copyright: © 2022. The Authors. Licensee: AOSIS. This work is licensed under the Creative Commons Attribution License Introduction Suicide is a significant public health problem globally, with over 700 000 deaths from suicide annually and many more people attempting suicide 1 It also constitutes the fourth leading cause of death among adolescents and young people aged 15–29 years, among whom students of higher education institutions (HEIs) represent a significant subset. 2 This age group (15–29 years) also represents a period of high vulnerability to mental illness, which is often undiagnosed and untreated. 3 The estimated suicide rate in South Africa is 23.5 per 100 000, which translates to about 14 000 deaths from suicide per annum. 1 It is the second leading cause of death among young people aged 15–29 in the country. 4 The years of productive life lost and the economic costs of suicide are a burden to both families and the nation 5 Globally, the morbidity from suicide attempts among young people is also significant, with a reported 20.5 % of the total population of young people attempting suicide in lowand middleincome countries. 6 A systematic review of studies from 18 sub-Saharan countries reported a prevalence of 16.9 % among young people in the region 7 There is no national data on the rate of suicide attempts (as opposed to suicides) in South Africa; however, it has been estimated to be approximately 280 000 per annum, based on a figure of 20 attempts for every suicide death 1 The use of health facilities in the immediate post-attempted suicide period by patients constitutes a great problem to the already overburdened public health sector. In this study, suicide attempt is defined as a non-fatal self-directed injurious behaviour with the intent of ending one’s life. 8 Young people at HEIs face significant stress in the form of academic workloads, poor funding, peer pressure and separation from family 9,10 These stressors increase their vulnerability to various mental disorders such as suicidal behaviour, depression, anxiety and substance abuse 11 Background: Worldwide, death by suicide is a leading cause of death among young people, and students of higher educational institutions constitute a vulnerable group. This study aimed to determine the lifetime prevalence and associated factors of suicide attempt among students of a higher education institution in Nelson Mandela Municipality. Methods: A cross sectional study was conducted among students of East Cape Midland College in Nelson Mandela Municipality. The participants were selected by stratified random sampling and a standardised self-administered questionnaire was used to collect data. Results: The prevalence of lifetime suicide attempts was 16.0 % among the participants. Multivariate logistic regression analysis revealed higher odds of suicide attempts among participants who: experienced bullying (OR: 1.66, CI: 1.05–2.61; p < 0.001), had underlying medical conditions (OR: 3.27, CI: 2.08–5.14; p < 0.001 ), had abnormal body weight perceptions (OR: 1.64, CI: 1.03–2.62; p < 0.05), had experienced sexual abuse (OR: 5.72, CI: 2.86–11.45; p < 0.001), or had someone very close who had experienced sexual abuse (OR: 1.77, CI: 1.02–3.05; p < 0.05) Conclusion: This study identified history of sexual abuse, bullying, perceptions of abnormal body weight and underlying medical conditions as associated risk factors of suicide attempts among the participants. The high prevalence of suicide attempts among the participants (16 % ) demonstrates the urgent need for campus-based interventions and prevention strategies aimed at addressing the identified associated factors Keywords: suicide attempts; college students; risk factors; suicide; prevalence Suicide attempts among students of higher education, Nelson Mandela Bay Municipality, South Africa Read online: Scan this QR code with your smart phone or mobile device to read online.
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[Summary: This page discusses the varying prevalence of suicide attempts in literature and the gap in studies focusing on TVET colleges in South Africa. It details the study's setting at East Cape Midland College, its cross-sectional design, sample size calculation, and sampling technique. It also covers questionnaire development, data analysis methods, and ethical considerations.]
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Page 2 of 7 Original Research https://www.safpj.co.za Open Access The prevalence of suicide attempts reported in the literature varies from region to region and may depend on the terminology used, the sampled population, sample size and study design. 12 In a survey conducted among first-year university students in South Africa, Bantjes, Breet, Saal et al. (2019) reported a 8.6 % prevalence rate of suicide attempts % . 12 Another local study among students of 16 high schools noted a prevalence rate of 14.8 % 13 This variation in prevalence could be because of differences in the sampled population, with the former study conducted among university students and the latter among high school learners, who might have been less well equipped to handle pressures than their older counterparts. Suicide prevention strategies should be aimed at offering context-specific interventions to mitigate the risk factors among vulnerable groups. Some of the risk factors for suicide attempts in the two studies listed previously were: mental illness, family conflict, romantic relationship crises, loneliness, bullying, lower socioeconomic status, adverse childhood events, sexual and physical abuse and academic failure 7,14 There is a dearth of studies on the prevalence of and factors associated with suicide attempts among students of technical and vocational education and training (TVET) colleges in South Africa, a gap which this study aimed to fill Methods Setting The study was planned to take place in East Cape Midland College (EMC) and Nelson Mandela University in the Eastern Cape, South Africa. However, the researcher was able to survey only EMC before the South African government declared a state of national disaster to curtail the spread of COVID-19 pandemic on 15 March 2020. East Cape Midland College is a TVET college that offers courses in engineering, business and occupational training. It has seven campuses spread across Uitenhage in Nelson Mandela Municipality. It is a non-residential institution and therefore all students reside off-campus. During the period of the study, a total of 8563 students were registered in all campuses of EMC and were eligible to participate in the study. Study design and duration An institution-based cross-sectional study was conducted between 15 January 2020 and 15 March 2020 Sample size calculation The sample size was calculated based on the formula: n = Z 2 p(1-p)/e 2 , [Eqn 1] where n = sample size, Z = desired confidence level, p = prevalence of suicide attempts and e = margin of error. The researcher worked on the assumption of a 17.0 % prevalence rate of suicide attempts among young people, 6 with a margin of error set as 2.5 % and a confidence interval of 95 % . An initial sample of 868 participants was calculated. An additional 34 were added in anticipation of incomplete responses to give a total of 902 sample size. To be included in the study, participants had to be: (1) at least 18 years old, (2) registered for the 2019/2020 academic year and (3) willing to sign the consent form and complete a 15-min questionnaire. Participants were excluded if they: (1) did not complete the questionnaire or (2) declined to sign the consent form. Sampling technique A three-stage stratified random sampling technique was used to select the participants. In the first stage, four campuses were randomly selected from the seven campuses. In the second stage, the lecture rooms in each of the campuses were clustered into groups based on department and the year of study of potential participants. During the third stage, a random selection of lectures rooms from the clusters was conducted and all students who were present in the selected classes were recruited into the study voluntarily. Questionnaires were distributed by research assistants after participants had signed consent forms. Questionnaire development The researcher designed a questionnaire based on an extensive review of the literature. The dependent and independent variables of interest are displayed in Table 1. Pilot testing of the questionnaire was conducted with 10 students from one of the campuses. Participant feedback was used to make minor adjustment to the questionnaire. The results of the pilot study were excluded from the primary study Data analysis Descriptive analysis was used to describe the sociodemographic characteristics of the participants, with the variables reported as means, frequencies and percentages. A chi-square test and bivariate analysis were employed to assess associations between suicide attempts and the independent variables. Multiple logistic regression analysis was performed to determine the factors independently associated with suicide attempts among the participants after adjusting for confounding variables. The associations were measured using odds ratios (OR) and 95 % confidence intervals (95 % CI), with the significant level set at p < 0.05. All data were analysed using STATA software, version 15.0 (Stata Corporation, College Station, TX, US) Ethical considerations The Ethics Committee of Walter Sisulu University approved the study protocol and issued ethical clearance for the study (Reference: 038/2019). Permission was also obtained from the Department of Health (Reference: EC_201912005). The selected participants were provided with information leaflets explaining the objective and processes of the
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[Summary: This page outlines the ethical considerations and results of the study. It presents descriptive findings, including demographics of the participants (gender, age, family structure), and the overall lifetime prevalence of suicide attempts. It also explores factors associated with suicide attempts, such as bullying, medical conditions, and sexual abuse.]
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Page 3 of 7 Original Research https://www.safpj.co.za Open Access study. All participants provided written consent before the commencement of the study. There was no financial inducement to participate. The right to privacy and confidentiality of information was respected during and after the study. Anonymity was ensued during the study, with no participant identifiers collected. Permission was also obtained from the campus manager of each of the campuses before distribution of the questionnaires Results Descriptive findings A response rate of 94.8 % was achieved in this study, with 855 returned questionnaires out of 902 recruited into the study. Missing information warranted the exclusion of 29 questionnaires from the final analysis. A total of 826 samples were included in the final analysis: 527 women (61.6 % ) and 317 men (38.4 % ) The mean age of the participants was 20.49 (standard deviation [s.d.]:1.88) and ranged from 18 to 24 years. Among the participants, 527 were female (61.6 % ), 582 (70.6 % ) were from an urban area and the majority, 382 (44.7 % ), were in their 1 st year of study. The distribution of participants’ family structures were single-parent families (44.8 % ), two-parent families (42.7 % ) and foster parents (12.5 % ). The single-parent family structure was more common among female participants than among male participants (47.2 % vs 41 % ). Approximately one quarter of the participants felt that their financial needs were met. About three-quarters of the participants reported alcohol usage and one-fourth reported having smoked cannabis. Detailed demographic characteristics of the participants are depicted in Table 2 Prevalence of suicide attempts The overall reported lifetime prevalence of suicide attempts among participants was 16.0 % . The prevalence of suicide attempts was higher among female participants (21.6 % ) compared to male participants (6.6 % ). Far more participants had made multiple suicide attempts than those who had made a single attempt (62.1 % vs 37.9 % ). Factors associated with suicide attempts As shown in Table 3, in a crude multiple logistic model analysis, male participants feeling better off financially than their friends and having all their needs met were associated with lower odds of suicide attempts. After adjusting for confounding variables, only male sex was a significant variable Also, the odds for suicide attempt were higher among participants who had experienced bullying, had underlying medical conditions, had relationship conflicts, had poor family financial support, currently drank alcohol, previously drank alcohol, used cannabis, had abnormal body weight perception, had abnormal body image feeling or had an experience of sexual abuse or a person close to them who had experienced sexual abuse The relationship between chronic medical conditions (Table 4) and suicide attempts was also explored. However, no reliable inference between individual chronic illness and suicide attempts owing to the low prevalence of the medical illnesses in the sample could be made The relationship between the total number of people with associated factors for suicide and suicide attempts was TABLE 1: Dependent and independent variables of suicide attempts Variable Measurement Variable description Example of measurement item Suicide attempts Lifetime suicide attempt Binary In your lifetime, have you ever attempted suicide? Response: Yes or No Number of attempts Binary How many times have you attempted suicide? Response: Once or more than once. Health service utilisation following suicide attempt Binary Did you use any of the following health services? (1) mental health services, (2) local clinic, (3) casualty at hospital, (4) in-patient care, (5) intensive care unit and (6) did not seek any healthcare Response: Yes or No Method of suicide attempt Method of suicide attempt Score Assessed by asking the participant to choose the method used from any of the following: drug overdose, cutting of body part, hanging, jumping from height, shooting or other Socioeconomic status Score Economic status was assessed by obtaining information about the employment status of parents, total monthly family income and number of household members. Participants were also asked to rate their perceptions of their financial support, from very poor to very good Chronic illnesses Assessment of chronic medical and psychiatric illness Binary Have you ever been diagnosed by a health professional with any of the following chronic illnesses: chronic pain, HIV, depression, anxiety, bipolar disorder, schizophrenia or unknown chronic illness? Responses: coded as 1 for ‘No’ and 2 for ‘Yes’. Substance use Alcohol use Binary Do you drink an alcoholic drink? Responses: code as 1 for ‘No’ and 2 for ‘Yes’ Cannabis use Binary Were you previously drinking alcohol? Responses: code as 1 for ‘No’ and 2 Academic status Experienced academic failure Binary Have you ever experienced an academic failure? Response: Yes or No Experience of bulling Binary Have you ever been bullied by another student? Response: Yes or No Sexual abuse Self Binary Have you ever been forced to have sex? Response: Yes or No Someone very close Binary Has someone very close to you ever been forced to have sex? Response: Yes or No Conflict in relationship Binary Has your partner ever insulted or beaten you in the past? Responses: coded as 1 for ‘No’ and 2 for ‘Yes’ Have you had a failed relationship? Responses: coded as 1 for ‘No’ and 2 for ‘Yes’ Body weight perceptions Binary Participants’ perception of their body weight was assessed by asking, ‘How do you feel about your physical appearance?’ Options were ‘I feel perfect’, ‘moderately good’ or ‘bad’.
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[Summary: This page continues presenting results, focusing on factors associated with suicide attempts using a multivariable model. It identifies bullying, underlying medical conditions, abnormal body weight perception, and experiences of sexual abuse as statistically significant factors. It also details the methods of suicide attempts, with drug overdose being the most common.]
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Page 4 of 7 Original Research https://www.safpj.co.za Open Access evaluated in multivariable analysis. After controlling for confounding factors in multiple logistic analysis, only the following factors were statistically significant: experienced bullying (OR: 1.66, CI: 1.05–2.61; p < 0.001), had underlying medical conditions (OR: 3.27, CI: 2.08–5.14; p < 0.001), had abnormal body weight perception (OR: 1.64, CI: 1.03–2.62; p < 0.05), experienced sexual abuse (OR: 5.72, CI: 2.86–11.45; p < 0.001), had someone very close who had experienced sexual abuse (OR: 1.77, CI: 1.02–3.05; p < 0.05) Methods of suicide attempts among the participants Drug overdose was the commonest method of suicide attempt reported by the participants. TABLE 3: Multivariable model showing factors associated with suicide attempts Variable Made suicide attempts Unadjusted odds ratio Adjusted odds ratio n % n % n % All 132 16.0 - - - - Age 16–19 41 15.2 0.92 0.61–1.37 1.06 0.65–1.73 20–24 91 16.4 1 - 1 - Sex Male 22 6.6 0.27 ** 0.17–0.44 0.32 ** 0.19–0.55 Female 110 21.6 1 - 1 - Experienced bullying Yes 76 24.8 2.74 ** 1.87–4.00 1.66 * 1.05–2.61 No 56 10.8 1 - 1 - Experienced academic failure Yes 39 14.7 0.86 0.58–1.30 0.74 0.46–1.19 No 93 16.6 1 - 1 - Feel better off than friends Yes 44 12.5 0.63 * 0.42–0.93 1.11 0.69–1.79 No 88 18.6 1 - 1 - Have underlying medical conditions Yes 70 34.1 4.68 ** 3.17–6.91 3.27 ** 2.08-5.14 No 62 10.0 1 - 1 - Relationship conflicts Yes 52 24.8 2.21 ** 1.49–3.26 1.48 0.93–2.37 No 80 13.0 1 - 1 - Bodyweight perception Not normal 58 27.2 2.73 ** 1.85–4.02 1.64 * 1.03–2.62 Normal 74 12.1 1 - 1 - Feeling about body appearance Perfect 40 10.9 0.37 * 0.20–0.66 0.68 0.33–1.41 Moderate 71 19.0 0.70 0.40–1.23 0.83 0.42–1.63 Bad 21 25.0 1 - 1 - All needs met Yes 44 11.9 0.56 * 0.38–0.83 0.72 0.44–1.17 No 88 19.4 1 - 1 - Family financial support Poor 47 22.3 1.92 * 1.20–3.08 1.18 0.65–2.14 Moderate 47 14.6 1.15 0.72–1.82 0.98 0.58–1.68 Good 38 13.0 1 - 1 - Experienced sexual abuse I am a survivor 29 54.7 10.31 ** 5.68– 18.71 5.72 ** 2.86–11.45 Someone very close is 35 28.0 3.32 ** 2.09–5.28 1.77 * 1.02–3.05 Never experienced sexual abuse 68 10.5 1 - 1 - Alcohol use Currently drink alcohol 75 18.8 2.66 * 1.53–4.64 1.63 0.87–3.04 Previously drank alcohol 40 18.5 2.61 * 1.43–4.76 1.68 0.86–3.27 Never used alcohol 17 8.0 1 - 1 - Cannabis use Yes 39 22.7 1.77 * 1.16–2.67 1.41 0.82–2.42 No 93 14.2 1 - 1 - * , p ≤ 0.001; ** , p ≤ 0.001 TABLE 2: Demographic characteristics of participants Variables Male Female All participants n % n % n % All respondents 317 38.4 509 61.6 826 100.0 Family structure Single parent 130 41.0 240 47.2 370 44.7 Both parents 149 47.0 204 40.1 353 42.7 Foster parents 38 12.0 65 12.8 103 12.5 Parents occupation Both employed 68 21.5 81 15.9 149 18.0 One employed 124 39.1 220 43.2 344 41.6 Non-employed 125 39.4 208 40.9 333 40.3 Place of residence Rural 102 32.2 142 27.9 244 29.5 Urban 215 67.8 367 72.1 582 70.5 Rate family financial support Very poor 21 6.6 48 9.4 69 8.4 Poor 44 13.9 98 19.3 142 17.2 Moderate 140 44.2 182 35.8 322 39.0 Good 77 24.3 114 22.4 191 23.1 Very good 35 11.0 67 13.2 102 12.3 Have all needs met Yes 144 45.4 227 44.6 371 44.9 No 173 54.6 282 55.4 455 55.1 Alcohol use Currently use alcohol 164 51.7 234 46.0 398 48.2 Previously used alcohol 74 23.3 142 27.9 216 26.2 I never used alcohol 79 24.9 133 26.1 212 25.7 Use cannabis Yes 93 29.3 79 15.5 172 20.8 No 224 70.7 430 84.5 654 79.2 Have underlying medical conditions Yes 66 20.8 139 27.3 205 24.8 No 251 79.2 370 72.7 621 75.2 Experienced education failures Yes 106 39.8 160 31.4 266 32.2 No 211 66.6 349 68.6 560 67.8 Experienced sexual abuse I am a survivor 11 3.5 42 8.3 53 6.4 Someone close is a survivor 27 8.5 98 19.3 125 15.1 I have never experienced sexual abuse 279 88.0 369 56.9 648 78.5 Experienced unintended pregnancy Yes 24 7.6 57 11.2 81 9.8 No 293 92.4 452 88.8 45 90.2 Conflictual relationship Yes 69 21.8 141 27.7 210 25.4 No 248 78.2 368 72.3 616 74.6 Body weight perceptions Normal 246 77.6 367 71.1 613 74.2 Abnormal 71 22.4 142 27.9 213 25.8 Feel your life is better off than friends Yes 150 47.3 202 39.7 352 42.6 No 167 52.7 307 60.3 474 57.4
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[Summary: This page discusses the study's findings, comparing them to previous research. It highlights the high prevalence of suicide attempts among college students and attributes this to factors like financial hardship and the absence of mental health services. It also discusses the impact of COVID-19 and notes that suicide attempts were more common among females.]
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Page 5 of 7 Original Research https://www.safpj.co.za Open Access The methods of suicide attempts reported by the participants are shown in Table 5 Discussion The results of this study may not be comparable with findings from previous similar studies of higher educational institutions because of the peculiarity of the student population of TVET colleges. These colleges were created to capacitate students with practical skills; they accept students who have passed Grades 9, 10, 11 or 12. Thus, it is appropriate to compare the findings of our study with the results of similar studies in high schools. This study revealed a high prevalence of lifetime suicide attempts, at 16.0 % , among students at the college. The finding is consistent with the 16.9 % finding in a systematic review from 18 sub-Saharan countries. 7 It is also in line with the 17.0 % reported in a meta-analysis of studies from 59 lowand middle-income countries 6 It cannot be said with certainty whether poor differentiation of self-harm from suicide attempts by the responders played a role in the high prevalence uncovered. Fairly similar results of 15.6 % , 16.2 % and 15.5 % were documented among adolescents and young people in studies from Benin, Ethiopia and Eswatini respectively. 15 However, the finding in this study is higher than the 8.9 % value reported among US high school students. 16 The finding of this study is also higher than the 8.6 % reported in a previous South Africa study. 12 The differences in the prevalence of suicidal attempts in various studies could be attributed to differences in the prevailing economic climate. Moreover, the absence of a psychologist and other mental health services at the college means that there was no help available on campus to assist students going through psychological strain. Financial hardship coupled with the non-availability of mental health services at the time of the study might have contributed to the high prevalence of suicide attempts reported. The later period of data collection was hampered by the closure of institutions of higher learning as a measure to reduce the spread of COVID-19. The general aura of hopelessness and despair that characterised the global spread of COVID-19 and the preparation programme to curtail the outbreak might also have contributed to the high prevalence of suicide attempts in this study. 17 However, the prevalence of suicide attempts in this study is lower than the 22.2 % , 18.5 % and 23.2 % reported in schoolbased surveys in Ghana, Mozambique and Benin respectively. 18,19,20 The higher prevalences may be attributed to higher proportion of participants: younger than 18 years; and anxiety and bullying experienced in the previous studies The study also found that suicide attempts were higher among females than males, which is consistent with what has been reported in the literature. 13,18 This higher rate may be attributed to various factors, such as a higher incidence of: major depressive disorder, 11 bullying victimisation 21 and sexual assault, 22 all of which have been reported in previous studies also. In contrast, a study in Ethiopia reported that more male participants attempted suicide than female participants. 19 More than one-quarter of the participants reported having attempted suicide on multiple occasions. Previous studies have shown that suicide attempts are a predictor of future suicide attempts and suicide deaths. 23,24 Therefore, an encounter with a person who has previously attempted suicide presents an opportunity to screen for risk factors and offer appropriate intervention to ameliorate the risk of further attempts. Among those who had attempted suicide, drug overdose (60.0 % ) was the commonest method used, followed by cutting (24.0 % ). This is consistent with the findings of other studies. 25 Drug overdose fatalities depend on the type and amount of substance taken. The identification of commonly ingested drugs with fatal outcomes should prompt the implementation of measures to limit access to such medication. Furthermore, local health centres and district hospitals should be regularly updated on the managements of drug overdose cases. Factors negatively associated with suicide attempts were bullying-related victimisation, chronic medical conditions and sexual assault TABLE 5: Methods of suicide attempt Method Number Percentage Drug overdose 79 59.8 Cutting hand with sharp objects 32 24.2 Hanging 13 9.8 Jumping from height 5 3.8 Shooting 1 0.8 TABLE 4: The relationship between chronic medical conditions and suicide attempts Medical condition Attempted suicide Never attempted suicide p n % n % Have chronic pain Yes 23 25.6 67 74.4 0.009 No 109 14.6 627 85.2 - HIV positive Yes 13 44.8 16 55.2 < 0.001 No 119 14.9 678 85.1 - Have had depression Yes 39 42.9 52 57.1 < 0.001 No 93 12.7 642 87.3 - Anxiety Yes 14 26.4 39 73.6 0.031 No 118 15.3 655 84.7 - Bipolar Yes 7 46.7 8 53.3 0.005 No 125 15.4 686 84.6 - Schizophrenia Yes 0 0.0 2 100.0 0.706 No 132 16.0 692 84.0 - Unknown medical condition Yes 5 29.4 12 70.6 0.120 No 127 15.7 682 84.3 - HIV, Human immunodeficiency virus.
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[Summary: This page further discusses factors associated with suicide attempts, including bullying, chronic medical conditions, and sexual assault. It emphasizes the need for interventions to reduce bullying and support victims of sexual assault. It also touches on abnormal body weight perception and its link to suicide attempts. It concludes with the study's strengths, limitations, and recommendations.]
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Page 6 of 7 Original Research https://www.safpj.co.za Open Access Bullying-related victimisation Findings from this study show that the likelihood of suicide attempts was higher among participants who had experienced bullying. This finding is consistent with the results of previous studies that have reported a strong association between a history of being bullied and suicide attempts. 18 The high rate of suicidal behaviour among victims of bullying may be attributed to loneliness, a perception of being unwanted by peers and a thwarted sense of belonging. 26 This study noted that 76 (24.8 % ) students had experienced bullying and had attempted suicide. The association between being bullied and suicidal behaviour highlights the urgent need to introduce interventions to reduce bullying-related victimisation of young people Chronic medical conditions In this study, there was a low reported rate of mental illness, with 10.0 % , 5.9 % , 1.7 % and 0.2 % of participants reporting experiences of depression, anxiety, bipolar disorder and schizophrenia, respectively. Although participants were assured of privacy and confidentiality in this study, it is possible that fear of stigmatisation informed this low reported incidence of mental illness. Non-disclosure of HIV status owing to stigmatisation could also explain the low prevalence of HIV (3.3 % ) reported among the participants. The study found that the chances of suicide attempts were higher among participants who had chronic medical conditions than among those who did not. This finding is in line with results from other studies that show a strong link between mental illness and suicide attempts 27,28 Antipsychotics, mood stabilisers, antidepressants and psychotherapy have been demonstrated to reduce the suicide rate among mental illness sufferers 29,30 Instituting campus-based health screening that allows early detection and initiation of effective treatment among college students should be one of the preventative measures taken to reduce suicide attempts among students. Sexual assault The likelihood of suicide attempt was higher among participants who had a personal history of sexual assault or who were close to someone who had experienced sexual assault. This finding is in line with findings of other studies that reveal a consistent relationship between early sexual assault and increased risk of suicide attempts. 31 The lifetime prevalence of sexual assaults reported among adolescents and university students in South Africa is high, at 37.9 % 32 Calls for urgent interventions to reduce the incidence of sexual assaults among college students should be heeded, while those who are already victims should be properly supported and rehabilitated. Abnormal body weight perception Abnormal body weight perception was significantly associated with likelihood of suicide attempt among the participant (OR: 1.64, CI: 1.03–2.62). This result is consistent with the findings from similar studies that reported a higher odd of suicide attempts among participants with abnormal perception of their body weight 33,34 People view normality of body weight based on media portrayal of thinness as the standard of attractiveness and likeness 35 The pressure from trying to actualise this idealised body weight by the adolescents and young people increased their vulnerability to low self-esteem, suicidal behaviour and other mental illness 35,36 College staff screening for abnormal body weight perception and other risk factors of suicide attempts can be utilised to identify students that need further assessment and intervention. Strength According to the author’s knowledge, this is the first published article study to report factors associated with suicide attempts among students of higher institution of learning in the Eastern Cape province, South Africa. Furthermore, the utilisation of a multi-stage cluster random sampling ensured that representative sample were recruited for the study. The findings of this study therefore provide a reliable database for further studies that will cut across. Limitations Firstly, the study is limited by the cross-sectional design which shows only associations between various factors and suicide attempts. The self-reported nature of the data might also have been a limitation, by introducing an element of bias. The investigator limits the extent of social desirability bias by anonymising the data collection Secondly, the study took place at only one higher educational institution in Nelson Mandela Municipality; therefore, the findings of the study may not be generalised to other higher educational institutions. Lastly, the study did not explore the association between culture factors and suicide attempts, whether the cultural views of the participants affected their disclosure of suicide attempts is not known with certainty in this study Conclusion and recommendations Suicide attempts were common among the participants, at 16.0 % . Associated factors were bullying, an experience of sexual abuse, whether in the participant or in someone close to the participant, a chronic medical condition and negative perception of body weight. The findings of this study highlight the urgent need for the college to put in place suicide prevention interventions on campus. Furthermore, it also highlights the need for programmes that address the mental health needs of all students. A campus-based wellness clinic that screens and manages the identified risk factors should be given consideration by the stakeholders of the college and by other institutions of higher learning.
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[Summary: This page provides acknowledgements, competing interests, authors' contributions, funding information, and a disclaimer. It lists references used in the study, citing various sources on suicide, mental health, and related factors. It concludes the research paper with a list of sources used.]
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Page 7 of 7 Original Research https://www.safpj.co.za Open Access Acknowledgements The author wishes to acknowledge the students and the campus managers of the East Cape Midlands Technical and Vocational Education and Training College, Uitenhage, South Africa Competing interests The authors declare that they have no financial or personal relationships that may have inappropriately influenced them in writing this article Authors’ contributions The author conceptualised, designed and implemented the study protocol. He also guided data analysis and drafted the manuscript Funding information The author received financial support from the Discovery Health Foundation, South Africa, towards the implementation of this study Data availability The data sets generated during this study are available from corresponding author, A.A.A., on request Disclaimer The views expressed in this manuscript are those of the author and do not reflect the official position of Walter Sisulu University and the publisher References 1. World Health Organization. Suicide worldwide in 2019: Global health estimates [homepage on the Internet]. 2021. [cited 2021 Dec 05]. Available from https:// www.who.int/publications/i/item/9789240026643 2. Organisation for Economic Co-operation and Development (OECD). Education at a glance 2012: OECD indicators [homepage on the Internet]. [cited 2022 May 21]. Available from https://www.oecd.org/edu/EAG % 202012_e-book_EN_200912.pdf 3. Patel PK, Leathem LD, Currin DL, Karlsgodt KH. Adolescent neurodevelopment and vulnerability to psychosis. Biological Psychiatry. 2021;89(2):184–193. https://doi. org/10.1016/j.biopsych.2020.06.028 4. Kootbodien T, Naicker N, Wilson KS, Ramesar R, London L. Trends in suicide mortality in South Africa, 1997 to 2016. Int J Environ Res Publ Health. 2020;17(6):1850. https://doi.org/10.3390/ijerph 17061850 5. Doran CM, Kinchin I. Economic and epidemiological impact of youth suicide in countries with the highest human development index. PLoS One. 2020;15(5):e 0232940. https://doi.org/10.1371/journal.pone.0232940 6. Uddin R, Burton NW, Maple M, Khan SR, Khan A. Suicidal ideation, suicide planning, and suicide attempts among adolescents in 59 low-income and middleincome countries: A population-based study. Lancet Child Adolesc Health. 2019;3(4):223–233. https://doi.org/10.1016/S 2352-4642(18)30403-6 7. Quarshie EN, Waterman MG, House AO. Self-harm with suicidal and non-suicidal intent in young people in sub-Saharan Africa: A systematic review. BMC Psychiatry. 2020;20(1):1–26. https://doi.org/10.1016/10.1186/s 12888-020-02587-z 8. Silverman MM, Berman AL, Sanddal ND, O’carroll PW, Joiner Jr TE. Rebuilding the tower of Babel: A revised nomenclature for the study of suicide and suicidal behaviors part 2: Suicide-related ideations, communications, and behaviors. Suicide Life-Threat Behav. 2007;37(3):264–277. https://doi.org/10.1521/suli.2007.37.3.264 9. Mukwevho, MH. Time management challenges on students’ academic performance: A case study of a rural university in Limpopo Province, South Africa. African Journal of Development Studies 2018;8(2):81–99. https://doi.org/ 10.31920/2050-4284/2018/S 1 n 1 a 12 10. Ngwato SE. Factors which contribute to poor academic achievement in TVET colleges: A case study [Doctoral dissertation]. [cited 2022 June 17]. Availble from http://hdl.handle.net/10500/26681 11. Alonso J, Vilagut G, Mortier P, et al. The role impairment associated with mental disorder risk profiles in the WHO world mental health international college student initiative. Int J Methods Psychiatr Res 2019;28(2). e 1750. https://doi. org/10.1002/mpr.1750 12. Bantjes J, Breet E, Saal W, et al. Epidemiology of non-fatal suicidal behavior among first-year university students in South Africa. Death Stud. 2022;46(4):816–823. https://doi.org/10.1080/07481187.2019.1701143 13. Khuzwayo N, Taylor M, Connolly C. High risk of suicide among high-school learners in uMgungundlovu District, KwaZulu-Natal Province, South Africa. S Afr Med J. 2018;108(6):517–523. https://doi.org/10.7196/SAMJ.2018.v 108 i 6.12843 14. Pengpid S, Peltzer K. Past 12-month history of single and multiple suicide attempts among a national sample of school-going adolescents in Tonga. Asia Pac Psychiatry 2021;13(3):e 12425. https://doi.org/10.1111/appy.12425 15. Quarshie EN, Atorkey P, García KP, Lomotey SA, Navelle PL. Suicidal behaviors in a Nationally representative sample of school-going adolescents aged 12–17 years in Eswatini. Trends Psychol. 2021;30:3–32. https://doi.org/10.1007/s 43076-021- 00094-y 16. Ivey-Stephenson, AZ, Demissie Z, Crosby AE, et al. Suicidal ideation and behaviors among high school students – youth risk behavior survey, United States, 2019. MMWR Suppl 2020;69(1):47. https://doi.org/10.15585/mmwr.su 6901 a 6 17. Mkhuseli, S. Unpaid NSFAS fees lead to lockdown [homepage on the Internet]. [cited 2020 March 14]. https://www.dailysun.co.za/News/unpaid-nsfas-feeslead-to-lockdown-20200312-2;Dailysun.co.za/News 18. Baiden P, Kuuire VZ, Shrestha N, Tonui BC, Dako-Gyeke M, Peters KK. Bullying victimization as a predictor of suicidal ideation and suicide attempt among senior high school students in Ghana: Results from the 2012 Ghana Global School-Based Health Survey. J Sch Violence. 2019;18(2):300–317. https://doi.org/10.1080/1538 8220.2018.1486200 19. Seidu AA, Amu H, Dadzie LK, et al. Suicidal behaviours among in-school adolescents in Mozambique: Cross-sectional evidence of the prevalence and predictors using the global school-based health survey data. PLoS One. 2020;15(7):e 0236448. https://doi.org/10.1371/journal.pone.0236448 20. Hoogstoel F, Fassinou LC, Samadoulougou S, Mahieu C, Coppieters Y, Kirakoya- Samadoulougou F. Using latent class analysis to identify health lifestyle profiles and their association with suicidality among adolescents in Benin. Int J Environ Res Public Health. 2021;18(16):8602. https://doi.org/10.3390/ijerph 18168602 21. Cilliers L. Perceptions and experiences of cyberbullying amongst university students in the Eastern Cape province, South Africa. J Transdiscipl Res S Afr 2021;17(1):6. https://doi.org/10.4102/td.v 17 i 1.776 22. Bondestam F. & Lundqvist M. Sexual harassment in higher education–A systematic review. Eur J High Educ 2020;10(4):397–419. https://doi.org/10.1080/21568235. 2020.1729833 23. Brådvik L. & Berglund M. Repetition of suicide attempts across episodes of severe depression behavioural sensitisation found in suicide group but not in controls. BMC Psychiatry 2021;11(1):1–7. https://doi.org/10.1186/1471-244 X-11-5 24. Ruengorn C, Sanichwankul K, Niwatananun W, Mahatnirunkul S, Pumpaisalchai W, Patumanond J. Incidence and risk factors of suicide reattempts within 1 year after psychiatric hospital discharge in mood disorder patients. Clinical Epidemiol. 2011;3:305. https://doi.org/10.2147/CLEP.S 25444 25. 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 J. 2018;2018. https://doi. org/10.1155/2018/7631453 26. Olcoń K, Kim, Y & Gulbas, LE. Sense of belonging and youth suicidal behaviors: What do communities and schools have to do with it?. Soc Work Public Health. 2017;32(7):432–442. https://doi.org/10.1080/19371918.2017.1344602 27. Pooja F, Chhabria P, Kumar P, et al. Frequency of psychiatric disorders in suicide attempters: A cross-sectional study from low-income country. Cureus. 2021;13(4):e 14669. https://doi.org/10.7759/cureus.14669 28. Mullins N, Kang J, Campos AI, et al. Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders, and known risk factors. Biol Psychiatry. 2022;91(3):313–327. https://doi.org/10.1016/j.biopsych.2021.05.029 29. Del Matto L, Muscas M, Murru A, et al. Lithium and suicide prevention in mood disorders and in the general population: A systematic review. Neurosci & Biobehav Rev. 2020;116:142–153. https://doi.org/10.1016/j.neubiorev. 2020. 06.017 30. Miller JN, Black DW. Bipolar disorder and suicide: A review. Curr Psychiatry Rep. 2020;22(2):1–10. https://doi.org/10.1007/s 11920-020-1130-0 31. Zatti C, Rosa V, Barros A, et al. Childhood trauma and suicide attempt: A metaanalysis of longitudinal studies from the last decade. Psychiatry Res. 2017;256:353–358. https://doi.org/10.1016/j.psychres.2017.06.082 32. Ajayi AI, Mudefi E, Owolabi EO. Prevalence and correlates of sexual violence among adolescent girls and young women: Findings from a cross-sectional study in a South African university. BMC Women’s Health. 2021;21(1):1–9. https://doi. org/10.1186/s 12905-021-01445-8 33. Zu P, Xu SJ, Shi CY, Zhao YQ, Huang ZH, Tao FB. Perceived rather than objective weight status is associated with suicidal behaviors among Chinese adolescents: A schoolbased study. J Public Health. 2022:fdac 015. https://doi.org/10.1093/pubmed/fdac 015 34. Daly M, Robinson E, Sutin AR. Perceived overweight and suicidality among US adolescents from 1999 to 2017. Int J Obes. 2020;44(10):2075–2079. https://doi. org/10.1038/s 41366-020-0620-9 35. Sypeck MF, Gray JJ, Ahrens AH. No longer just a pretty face: Fashion magazines’ depictions of ideal female beauty from 1959 to 1999. Int J Eat Disord. 2004;36(3):342–347. https://doi.org/10.1002/eat.20039 36. Singh S, Thompson CJ, Kak R, Smith LN, Quainoo N. Impact of body weight perceptions and electronic bullying on suicide-related risk behaviors among youth: Results from youth risk behavior surveillance system, 2015. J Sch Health. 2021;91(1):29–36. https://doi.org/10.1111/josh.12974
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