Skip to main content
Download PDF

Psychological distress in adolescents: prevalence and its relation to high-risk behaviors among secondary school students in Mbarara Municipality, Uganda

BMC Psychology volume 11, Article number: 5 (2023) Cite this article

Abstract

Background

Psychological distress among adolescents negatively affects their academic performance, relationships with family and friends, and ability to participate fully in the community. Stressful life events in low-income countries and risk-taking behavior of adolescents have raised concerns regarding the impact of psychological distress among adolescents. Therefore, the present study estimated the prevalence of psychological distress and examined the high-risk behaviors associated with psychological distress among Ugandan adolescents.

Methods

A community based cross-sectional study was conducted among secondary school students in Mbarara Municipality, Uganda. Multistage cluster sampling was used to recruit 921 adolescents from 12 schools. Psychological distress was assessed using the 10-item Kessler Psychological Distress Scale (K10). Logistic regression was used with p-value estimating regression coefficient and 95% confidence interval for odds ratio and adjusted odds ratio (AOR).

Results

The prevalence of psychological distress using the K10 was 57%. Logistic regression analyses showed that risky sexual behavior [AOR = 1.52; 95% confidence interval (CI) 1.02–2.28], substance use (AOR = 2.06; 95% CI 1.49–2.84) were associated with psychological distress. Students in mixed schools (comprising both sexes) (AOR = 1.94; 95% CI 1.19–3.15) and adolescents with chronic illness (AOR = 1.68; 95% CI 1.18–2.38) were more likely to report psychological distress.

Conclusion

The prevalence of psychological distress among school-going adolescents is high. Risky sexual behavior, substance use as well as chronic illness were associated with psychological distress. In addition, the type of school was significantly associated with psychological distress. The findings suggest the need for policy makers and stakeholders in health and education sectors to institute measures that will address mental health issues among adolescents.

Peer Review reports

Introduction

Mental health disorders are among the leading cause of ill-health and disability worldwide. According to World Health Organization (WHO), one in four individuals in the world are affected by mental disorder at some point in their lives and around 450 million individuals suffer from mental disorders worldwide [1]. Approximately 20% of the world’s children and adolescents have mental health problems [2] and mental health disorders account for 16% of the global burden of disease and injury among adolescents [3]. Psychological distress is a non-specific mental health condition that is characterized by anxiety, depression, and somatic symptoms. It involves feelings of vulnerability, sadness, fear, extensive worries, restlessness, negative thoughts and social isolation [4]. Mental health conditions (including psychological distress) are a public health challenge that affects daily activities of adolescents including their school and work performance, relationships with family and friends, and involvement in the community [2, 5]. Psychological distress has been associated with several negative consequences such as suicidal ideation and attempt [6, 7], poor academic performance [8] and poor physical health [9, 10] among adolescents.

Previous studies have indicated that psychological distress is common among adolescents. For example, prevalence rates of 35% in Canada [9] 54% [7] in Saudi Arabia and 40% in China [8]. In low-and middle-income countries, high prevalence of psychological distress has been reported among adolescents. Another cross-sectional study among students in India estimated 10.5% mild psychological distress, 5.4% moderate psychological distress, and 4.9% severe psychological distress [8]. Also, a study conducted in Zambia reported 15.7% of psychological distress among adolescents [11], while a study in Tanzania reported 20.6% single psychological distress and 10.3% multiple psychological distress [12]. In Uganda, a study conducted among refugee adolescents reported 12.3% psychological distress [7] while another Ugandan study reported 83.2% psychological distress among orphaned youths and youths experiencing sexual exploitation [13].

Adolescence is a period characterized by high-risk behaviors [14, 15]. High-risk behaviors such as substance use and risky sexual activities have been associated with psychological distress and other mental health problems among adolescents [9, 16, 17]. Previous studies have shown that alcohol use among adolescents is associated with psychological distress [18,19,20]. Substance use have also been associated with psychological distress among school-going adolescents in studies conducted in Norway, Zambia and Tanzania [11, 12, 21]. Moreover, previous studies have associated risky sexual behavior with psychological distress. Risky sexual behaviors such as early sexual debut, multiple sex partners and inconsistent condom use have been associated with psychological distress among adolescents [12, 17, 22,23,24].

Uganda is a low-income country where other health issues are prioritized over mental health due to limited resources [25, 26]. Moreover, stressful and undesirable life events continue to raise concerns regarding the magnitude of mental health problems in the country [27].

Previous studies in Uganda have focused on other mental health problems with limited studies conducted on psychological distress among students. In addition, prior studies examining adolescent mental health have concentrated on adolescents living with HIV/AIDS, as well as other vulnerable and marginalized population [16, 28,29,30,31,32]. Guided by the biopsychosocial (BPS) model of health [33], the present study estimated the prevalence of psychological distress and examined the high-risk behaviors associated with psychological distress among secondary school students in Mbarara Municipality, Uganda.

It is important to know the magnitude of psychological distress among students before the initiation and implementation of intervention strategies. The present study will provide baseline data on psychological distress among secondary school students, needed to institute prevention and control programs. In addition, the study findings can be helpful in understanding the implications of psychological distress among adolescents, and providing impetus for policy makers, stakeholders in health and education sectors to initiate policies that will address mental health issues among adolescents in Uganda.

Methods

The data used in this study were part of a research project evaluating gambling disorder among secondary school students in Uganda. The study was a cross-sectional survey conducted in 2019 at Mbarara Municipality, a town located in the South-western part of Uganda and the main administrative and commercial center of Mbarara District.

Sample

To achieve a representative sample of secondary school students in the Municipality, multistage cluster sampling was used. The first stage involved random selection of two schools from each of the Municipality’s six divisions with each division represented by one public and one private school. At the second stage, students were randomly selected from each class in the secondary school using the class register. A total of 921 students from 12 schools out of 35 registered schools in the Municipality were selected using a proportion of 10.2%, 95% confidence interval, 3% margin of error, and design effect of 1.826. The sample size was calculated by Kish Leslie formulae and the result multiplied by the design effect [34]. Secondary schools with both ordinary and advance classes were included in the study and students that had not been in school for at least 2 months or spent an academic session in the school were excluded in the study.

Measures

Sociodemographic characteristics

The survey collected information on a number of sociodemographic characteristics: age, gender, religion, family background, class of student, school type, and caretaker/guardian. Participants also answered questions on owning a mobile phone (yes/no), and ever failed a subject in an exam (yes/no).

Psychological distress

Psychological distress was assessed using the 10-item Kessler Psychological Distress Scale (K10). Items are rated on a five point scale and evaluate the frequency of depressive and anxiety symptoms over the past 4 weeks. Psychological distress was categorized into normal, mild, moderate, and severe psychological distress. Scores range from 10 to 50, with score of 0–19 categorized as normal, 20–24 as mild distress, 25–29 as moderate distress and scores above 29 categorized as severe psychological distress [35, 36]. The K10 has been shown to be a reliable and valid tool for screening of adolescents in epidemiological surveys with Cronbach’s α coefficient of 0.86 [20], receiver operating characteristic (ROC) curve of 0.87–0.96 [35], and it has been used extensively in Sub-Saharan Africa [20, 37,38,39].

Substance use

This was assessed using the Alcohol, Smoking and Substance Involvement Screening Test (ASSIST), a tool validated by World Health Organization for assessing the use of alcohol, tobacco products and other psychoactive drugs. The tool was adapted, using only the second question which assessed the use of tobacco products, alcoholic beverages, cannabis, amphetamine type stimulants, inhalants, sedatives, hallucinogens, opioids and other substances in the past 3 months. A participant that has never used any of the substances was classified as “no substance use” and those that have used any of the substances were classified as “substance use” [40, 41].

Risky sexual behavior

The sexual behavior of the participants was assessed with questions regarding being sexually active, condom use, and ever being pregnant. The behavior was categorized as either: “no risky sexual behavior” or “risky sexual behavior”. Participants that answered “no” to being sexually active or “yes” to being sexually active but “no” to them or their sexual partner ever being pregnant and “yes” to consistent use of condoms were categorized as having “no risky sexual behavior”.

Chronic illness

The chronic illness or condition of the participants was assessed using the single question “Do you have a chronic (long lasting) illness or health condition?” with yes or no response.

Social support

Two questions were used to assess social support; “Are there family and friends that you can go to for advice and support?” and “Are there elders or community leaders that you can easily go to for advice and support?” Social support was classified into “no social support” and “Having social support”. Any “yes” answer to one of the questions was categorized as having social support.

Data collection

Under the supervision of research assistants, students completed the self-administered survey in English language in a selected hall during the school period. Research assistants explained the objectives of the study to the students and assured them that all information was anonymous and that answers will not affect their grades in any way. Students that did not want to participate in the study were allowed to leave the hall where the survey was conducted. Written informed consent was obtained from the participating students and the legal guardian of students aged below 18 years before the survey was administered. The study was approved by the Research Ethics Committee of Mbarara University of Science and Technology with the IRB number of 07/03-19.

Analysis

Data analysis was carried out using STATA Version 12.0. All participants that did not complete the K10 were excluded. Descriptive statistics was used to examine the participants’ characteristics. The prevalence of psychological distress was determined by the scores of the students on the (K10). Unadjusted and adjusted logistic regression analyses were carried out to identify the factors associated with psychological distress. All variables with a p-value of < 0.05 in the bivariate logistic regression analysis were included in the multivariable logistic regression model.

Results

Socio-demographic characteristics of study participants

A total of 921 students participated in the study. However, 15 students were excluded due to missing information on psychological distress (1.6%), leaving a final sample size of 906 participants. The minimum and maximum age of the participants was 11 years and 25 years respectively and the mean age was 16.9 (SD = 2.1). A higher proportion of the participants were male (53.6%), boarding students (75.9%), Catholics (36.7%), and attended mixed schools comprising of both sexes (86.7%). The socio-demographic characteristics of participants are shown in Table 1.

Table 1 Socio-demographic characteristics of participants
Full size table

Prevalence of psychological distress

Out of the 906 students, 390 students had scores less than 20 on the K10 (psychological Distress Scale) and were therefore classified as normal (43%). The prevalence of mild psychological distress was (24.6%), moderate psychological distress was (18%) and severe psychological distress was (14.4%). Therefore, the overall prevalence of any psychological distress among study participants was 57%.

Factors associated with psychological distress

The unadjusted logistic regression showed that age, religion, family background, type of school (single/mixed sex), mobile phone ownership, chronic illness, risky sexual behavior and substance use were significantly associated with psychological distress (Table 2).

Table 2 Factors associated with psychological distress
Full size table

In the adjusted logistic regression, students in mixed schools (AOR = 1.94; 95% CI 1.19–3.15), those who had reported having a chronic illness (AOR = 1.68; 95% CI 1.18–2.38), and students that engaged in risky sexual behavior (AOR = 1.52; 95% CI 1.02–2.28), or used psychoactive substances (AOR = 2.06; 95% CI 1.49–2.84) were significantly more likely to have psychological distress (Table 2).

Discussion

The aim of the present study was to determine the prevalence of psychological distress and to identify the high-risk behaviors associated with psychological distress among secondary school adolescents in Mbarara Municipality, Uganda.

The overall prevalence of psychological distress was 57% with 24.6% mild psychological distress, 18% moderate psychological distress, and 14.4% severe psychological distress. Generally, previous studies have shown a high prevalence of mental health issues among adolescents in Uganda. The prevalence of psychological distress in the present study is consistent with the prevalence rates reported by some studies in Uganda. A recent study conducted among youths in Kampala, Uganda showed that the prevalence of psychological distress ranged from 51.3 to 91.2% although the study participants comprised orphans and youths experiencing sexual exploitation [13]. Another study conducted among adolescents living with HIV/AIDS in Uganda reported a comparable rate of 51% psychological distress [30]. Contrary to the present study findings, a study conducted among refugee adolescents in West Nile, Uganda reported a much lower prevalence of psychological distress (12.3%) [7]. The stress and pressure associated with secondary school education and high expectations from the teachers and parents or guardian of these students might explain the high prevalence of psychological distress among the school-going adolescents reported in the present study [42]. In addition to academic stress, undesirable life events seen in low-income countries could have contributed to the high prevalence of psychological distress in the present study population [27]. In comparison to studies from other countries, the present study’s finding is similar to the rates reported in Tanzania [12], Ethiopia [20], Egypt [43], India [44], Saudi Arabia [45], Canada [9] and China [46], but different from rates in Zambia [11], Morocco [47] and the USA [48]. The differences in the prevalence rates of psychological distress could be due to the diverse environment, culture and economic factors as well as varied study samples, assessment tools and methodology used in these studies.

In the present study, students who used psychoactive substances were more likely to report psychological distress compared to students who did not. This is consistent with a prior multi-country study where alcohol consumption was associated with psychological distress in school-going adolescents [18]. It can be hypothesized that the association between psychological distress and substance use among adolescents is attributed to the use of these substances as a self-medicating drug to help cope with stressors and/or life challenges. Furthermore, this may be due to the fact that adolescents are curious and are more likely to engage in risky behaviors such as alcohol consumption and smoking. Also, coupled with easy accessibility and availability of these substances as well as weak regulatory policies and enforcements in Uganda, school-going adolescents are exposed to substance use in early age and may be psychologically distressed due to the negative consequences of substance use [10, 11, 18,19,20,21]. Previous studies conducted in Tanzania [12], Ethiopia [20], Zambia [11], India [8], Norway [21] and Finland [49] have all shown similar results although a study in Canada reported that alcohol and cannabis use were not associated with psychological distress among adolescents [9].

The present study also found that adolescents who engaged in risky sexual activities were more likely to report psychological distress. This relationship is supported by previous studies conducted among orphaned youths and adolescents reporting sexual exploitation in Kampala, Uganda [13], school-going adolescents in Tanzania [12], adolescents in Sub-Saharan Africa [22], and adolescents in the US [17, 23, 24]. One possible explanation for this relationship could be that adolescents become distressed due to engaging in risky sexual behavior and they may be anxious about getting pregnant or impregnating someone, and having infectious diseases including HIV/AIDS, as well as difficulties in romantic relationships [24, 50, 51]. Another possible reason for this association could be that psychological distress may make it difficult for school-going adolescents to practice safer sex [52].

Students with the history of chronic health conditions were more likely to experience psychological distress compared to those who did not. This is in line with a research conducted among Ugandan adolescents living with HIV [53] and supported by other studies that examined the relationship between psychological distress and chronic health conditions [10, 54]. This could (among other factors) be attributed to adverse social circumstances and financial strain, reduced ability to cope with routine daily activities, and aggravated physical consequences such as pain and discomfort [55]. Apart from the high-risk behaviors and chronic health conditions identified in the present study, being a student in a mixed school (schools with both genders) was associated with psychological distress. Contrary to existing studies [8, 9, 20, 47, 56], age, gender, social support and academic performance were not associated with psychological distress in the present study. The samples and the scales used were likely to account for the differences.

Limitations

The present study has limitations that should be considered when interpreting the results. The cross-sectional design of the present study does not allow the determination of any cause-effect relationships between the study variables. Also, a self-reported instrument was used to assess psychological distress with no diagnostic interview conducted to establish the presence of actual psychological distress, therefore, there may be reporting bias. Moreover, other self-report biases may have occurred including social desirability responses, and some questions require recall of past history which is prone to recall bias.

Conclusions

A high prevalence of psychological distress was identified among secondary school students in Uganda in the present study. The finding indicates that over half of school-going adolescents have psychological distress as assessed using the K10. Moreover, the present study showed that attending mixed-sex schools, chronic health conditions, risky sexual behavior and substance use were associated with psychological distress. These findings suggest the need for policy makers and stakeholders in education and health sectors to institute mental health programs to prevent, control, and treat psychological distress among school-going adolescents. In addition, comprehensive substance use control policies such as laws against the sale of alcohol, cigarette, tobacco and other psychoactive substances to adolescents should be enacted and implemented. Also, integration of sexual, substance use and chronic health care services with mental health programs could facilitate the prevention of psychological distress among adolescents.

Availability of data and materials

The datasets used and/or analyzed during the present study are available from the corresponding author on reasonable request.

References

  1. World Health Organization (WHO). The World Health Report 2001: Mental Disorders affect one in four people. Geneva: WHO; 2001 [cited 2021 June 30]; Available from: https://www.who.int/news/items/28-09-2001-the-world-health-report-2001-mental-disorders-affect-one-in-four-people.

  2. World Health Organization (WHO). Mental Health. 2021 [cited 2021 July, 11]; Available from: https://www.who.int/health-topics/mental-health#tab_2.

  3. World Health Organization (WHO). Adolescent Mental Health. 2019 [cited 2021 July, 10]; Available from: https://www.int/news-room/fact-sheets/detail/adolescent-mental-health.

  4. Drapeau A, Marchand A, Beaulieu-Prévost D. Epidemiology of psychological distress: IntechOpen; 2012. Available from: http://www.intechopen.com/books/mental-illnesses-understanding-prediction-and-control/epidemiology-of-psychological-distress.

  5. Rothon C, Head J, Clark C, Klineberg E, Cattell V, Stansfeld S. The impact of psychological distress on the educational achievement of adolescents at the end of compulsory education. Soc Psychiatry Psychiatr Epidemiol. 2009;44(5):421–7.

    Article  Google Scholar 

  6. Lee H, Lee E, Greene B, Shin Y. Psychological distress among adolescents in Laos, Mongolia, Nepal, and Sri Lanka. Asian Nurs Res. 2019;13(2):147–53.

    Article  Google Scholar 

  7. Bukuluki P, Kisaakye P, Wandiembe S, Besigwe S. Suicide ideation and psychological distress among refugee adolescents in Bidibidi settlement in West Nile, Uganda. Discov Psychol. 2021. https://doi.org/10.1007/s44202-021-00003-5.

    Article  Google Scholar 

  8. Jaisoorya T, Desai G, Beena K, Beena M, Ellangovan K, Thennarasu K. Prevalence and correlates of psychological distress in adolescent students from India. East Asian Arch Psychiatry. 2017;27(2):56–62.

    Google Scholar 

  9. Arbour-Nicitopoulos KP, Faulkner G, Irving H. Multiple health-risk behavior and psychological distress in adolescence. J Can Acd Child Adolesc Psychiatry. 2012;21(3):171–8.

    Google Scholar 

  10. Tyler J, Lam J, Scurrah K, Dite G. The association between chronic disease and psychological distress: an Australian twin study. Twin Res Hum Genet. 2021;23(6):322.

    Article  Google Scholar 

  11. Siziya S, Mazaba M. Prevalence and correlates for psychosocial distress among in-school adolescents in Zambia. Front Public Health. 2015. https://doi.org/10.3389/fpubh.2015.00180.

    Article  Google Scholar 

  12. Pengpid S, Peltzer K. Psychological distress and its associated factors among school-going adolescents in Tanzania. Psychol Stud. 2020;65:174–81.

    Article  Google Scholar 

  13. Perry E, Culbreth R, Swahn M, Kasirye R, Self-Brown S. Psychological distress among orphaned youth and youth reporting sexual exploitation in Kampala, Uganda. Child Youth Serv Rev. 2020;119:105587.

    Article  Google Scholar 

  14. Dahl R. Adolescent brain developent: a period of vulnerabilities and opportunities. Ann NY Acad Sci. 2004. https://doi.org/10.1196/annals.1308.001.

    Article  Google Scholar 

  15. Balocchini E, Chiamenti G, Lamborghini A. Adolescents: which risks for their life and health? J Prev Med Hyg. 2013;54(4):191–4.

    Google Scholar 

  16. Henry BM, Bakeera-Kitaka S, Lubega K, Snyder AS, LaRussa P, Pfeffer B. Depressive symptoms, sexual activity, and substance use among adolescents in Kampala. Uganda Afr Health Sci. 2019;19(2):1888–96.

    Article  Google Scholar 

  17. Lehrer J, Shrier L, Gortmaker S, Buka S. Depressive symptoms as a longitudinal predictor of sexual risk behaviors among US middle and high school students. Pediatrics. 2006;118(1):189–200.

    Article  Google Scholar 

  18. Balogun O, Koyanagi A, Stickley A, Gilmour S, Shibuya K. Alcohol consumption and psychological distress in adolescents: a multi-country study. J Adolesc Health. 2014;54:228–34.

    Article  Google Scholar 

  19. Charfi N, Turki M, Smaoui N, Maaleg B, Zouari L, Zouari N, et al. Psychological distress and alcohol use among adolescents. Eur Psychiatry. 2017;41(S1):882.

    Article  Google Scholar 

  20. Gebremedhin H, Bifftu B, Lebessa M, Weldeyes A, Gebru T, Petrucka P. Prevalence and associated factors of psychological distress among secondary school students in Mekelle City, Tigray Region, Ethiopia: cross-sectional study. Psychol Res Behav Manag. 2020;13:473–80.

    Article  Google Scholar 

  21. Myklestad I, Røysamb E, Tambs K. Risk and protective factors for psychological distress among adolescents: a family study in the Nord-Trøndelag health study. Soc Psychiatry Psychiatr Epidemiol. 2011;47:771.

    Article  Google Scholar 

  22. Page RM, Hall CP. Psychological distress and alcohol use as factors in adolescent sexual behavior among Sub-Saharan African adolescents. J Sch Health. 2009;79(8):369–79.

    Article  Google Scholar 

  23. Traci LB, Sion KH, Jeannie ST, Elizabeth RW. Association of adolescent risk behavior with mental health symptoms in high school students. J Adolesc Health. 2002;31(3):240–6.

    Article  Google Scholar 

  24. DiClemente RJ, Wingood G, Crosby R, Sionean C, Brown L, Rothbaum B, et al. A prospective study of psychological distress and sexual risk behavior among black adolescent females. Pediatrics. 2001;108(5):e85.

    Article  Google Scholar 

  25. Chisholm D, Lund C, Saxena S. Cost of scaling up mental healthcare in low-and middle-income countries. Br J Psychiat. 2007;191:S28–35.

    Article  Google Scholar 

  26. Saraceno B, van Ommeren M, Batniji R, Cohen A, Gureje O, Mahoney J. Barriers to improvement of mental health services in low income and middle income countries. Lancet. 2007;370:1164–74.

    Article  Google Scholar 

  27. Muhwezi W, Ågren H, Neema S, Maganda A, Musisi S. Life events associated with major depression in Uganda Primary Healthcare (PHC) patients: issues of cultural specificity. Int J Soc Psychiat. 2008;54:144–64.

    Article  Google Scholar 

  28. Abbo C, Kinyanda E, Kizza R, Levin J, Ndyanabangi S, Stein D. Prevalence, comorbidity and predictors of anxiety disorders in children and adolescents in rural north-western Uganda. Child Adolesc Psychiatry Ment Health. 2013;7(1):21.

    Article  Google Scholar 

  29. McMullen J, O’Callaghan P, Richards J, Eakin J, Rafferty H. Screening for traumatic exposure and psychological distress among war-affected adolescents in post-conflict northern Uganda. Soc Psychiatry Psychiatr Epidemiol. 2012;47(9):1489–98.

    Article  Google Scholar 

  30. Musisi S, Kinyanda E. Emotional and behavioral disorders in HIV seropositive adolescents in urban Uganda. East Afr Med J. 2009;86(1):16–24.

    Article  Google Scholar 

  31. Nabunya P, Damulira C, Byansi W. Prevalence and correlates of depressive symptoms among high school adolesent girls in southern Uganda. BMC Public Health. 2020. https://doi.org/10.1186/s12889-020-09937-2.

    Article  Google Scholar 

  32. Nalugya-Sserunjogi J, Rukundo G, Ovuga E, Kiwuwa S, Musisi S, Nakimuli-Mpungu E. Prevalence and factors associated with depression symptoms among school-going adolescents in central Uganda. Child Adolesc Psychiatry Ment Health. 2016. https://doi.org/10.1186/s13034-016-0133-4.

    Article  Google Scholar 

  33. Engel GL. The need for a new medical model: a challenge for biomedicine. Science. 1977;196(4286):129–36.

    Article  Google Scholar 

  34. Christie J, O’Halloran P, Stevenson M. Planning a cluster randomized controlled trial: methodlogical issues. Nurs Res. 2009;58(2):128–34.

    Article  Google Scholar 

  35. Kessler R, Andrews G, Colpe L, Hiripi E, Mroczek D, Normand S, et al. Short screening scales to monitor population prevalences and trends in non-specific psychological distress. Psychol Med. 2002;32:959–76.

    Article  Google Scholar 

  36. Andrews G, Slade T. Interpreting scores on the Kessler psychological distress scale (K10). Aust N Z J Public Health. 2001;25(6):494–7.

    Article  Google Scholar 

  37. Canavan M, Sipsma H, Adhvaryu A, Ofori-Atta A, Jack H, Udry C, et al. Psychological distress in Ghana: associations with employment and lost productivity. Int J Ment Health Syst. 2013. https://doi.org/10.1186/1752-4458-7-9.

    Article  Google Scholar 

  38. Myer L, Stein D, Grimsrud A, Seedat S, Williams D. Social determinants of psychological distress in a nationally-representative sample of South African adults. Soc Sci Med. 2008;66:1828–40.

    Article  Google Scholar 

  39. Zenebe Y, Kunno K, Mekonnen M, Bewuket A, Birkie M, Necho M, et al. Prevalence and associated factors of internet addiction among undergraduate university students in Ethiopia: a community university-based cross-sectional study. BMC Psychol. 2021. https://doi.org/10.1186/s40359-020-00508-z.

    Article  Google Scholar 

  40. World Health Organisation (WHO). Alcohol, Smoking and Substance Involvement Screening Test. Geneva, Switzerland: WHO; [cited 2021 23 August]; Available from: http://www.who.int/substance_abuse/activities/assist/en/.

  41. WHO Assist Working Group. The alcohol, smoking and substance involvement screening test (ASSIST): development, reliability and feasibility. Addiction. 2002;97(9):1183–94.

    Article  Google Scholar 

  42. Reddy KJ, Menon K, Thattil A. Academic stress and its sources among university students. Biomed Pharmacol J. 2018;11(1):531.

    Article  Google Scholar 

  43. Diab I, Elweshahi H, Sheshtawy H, Youssef A, Eltayar S, Sharaf A. Screening for psychological distress among high school graduates accepted for enrollment at Alexandria faculty of medicine: academic year 2016/2017. Alex J Med. 2017;54(2):155–9.

    Google Scholar 

  44. Beattie T, Prakash R, Mazzuca A, Kelly L, Javalkar P, Moses S, et al. Prevalence and correlates of psychological distress among 13–14 year old adolescent girls in North Karnataka, South India: a cross-sectional study. BMC Public Health. 2019. https://doi.org/10.1186/s12889-018-6355-z.

    Article  Google Scholar 

  45. Saquib N, Saquib J, Wahid A, Ahmed A, Dhuhayr H, Zaghloul M, et al. Video game addiction and psychological distress among expatriate adolescents in Saudi Arabia. Addict Behav Rep. 2017;6:112–7.

    Google Scholar 

  46. Huang J, Xia W, Sun C, Zhang H, Wu L. Psychological distress and its correlates in Chinese adolescents. Aust N Z J Psychiatry. 2009;43(7):674–81.

    Article  Google Scholar 

  47. Pengpid S, Peltzer K. Prevalence and associated factors of psychological distress among a national sample of in-school adolescents in Morocco. BMC Psychiatry. 2020. https://doi.org/10.1186/s12888-020-02888-3.

    Article  Google Scholar 

  48. Zhang X, Ra C, Zhang D, Zhang Y, MacLeod K. The impact of school social support and bullying victimization on psychological distress among California adolescents. Calif J Health Promot. 2016;14(2):56.

    Article  Google Scholar 

  49. Savolainen I, Kaakinen M, Sirola A, Oksanen A. Addictive behaviors and psychological distress among adolescents and emerging adults: a mediating role of peer group identification. Addict Behav Rep. 2018;7:75–81.

    Google Scholar 

  50. Parikh R, Sapru M, Krishna M, Cuijpers P, Patel V, Michelson D. “It is like a mind attack”: stress and coping among urban school-going adolescents in India. BMC Psychol. 2019. https://doi.org/10.1186/s40359-019-0306-z.

    Article  Google Scholar 

  51. Shrier L, Harris S, Beardslee W. Temporal associations between depressive symptoms and self-reported sexually transmitted diseases among adolescents. Arch Pediatr Adolesc Med. 2002;156(6):599–606.

    Article  Google Scholar 

  52. Brown L, Tolou-Shams M, Lescano C, Houck C, Zeidman J, Pugatch D, et al. Depressive symptoms as a predictor of sexual risk among African American adolescents and young adults. J Adolesc Health. 2006;39(3):444.e1.

    Article  Google Scholar 

  53. Mutumba M, Bauermeister J, Harper G, Musiime V, Lepkowski J, Resnicow K, et al. Psychological distress among Ugandan adolescents living with HIV: examining stressors and the buffering role of general and religious coping strategies. Glob Public Health. 2017;12(12):1479–91.

    Article  Google Scholar 

  54. Santos T, Gaspar de Matos M, Simoes C, Machado M. Psychological well-being and chronic condition in Portuguese adolescents. Int J Adolesc Youth. 2015;20(3):334.

    Article  Google Scholar 

  55. Jane T, Kelly B. Emotional dimensions of chroni disease. West J Med. 2000;172(2):124–8.

    Article  Google Scholar 

  56. Poudel A, Gurung B, Khanal G. Perceived social support and psychological wellbeing among Nepalese adolescents: the mediating role of self-esteem. BMC Psychol. 2020. https://doi.org/10.1186/s40359-020-00409-1.

    Article  Google Scholar 

Download references

Acknowledgements

I would like to acknowledge Dr. Mark Griffiths for revising the manuscript.

Funding

None.

Author information

Authors and Affiliations

  1. Department of Community Health, Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda

    Michael U. Anyanwu

Authors
  1. Michael U. Anyanwu
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

MUA was the sole author involved in the conceptualization, data collection, and writing of this article. The author read and approved the final manuscript.

Corresponding author

Correspondence to Michael U. Anyanwu.

Ethics declarations

Ethics approval and consent to participate

The study was approved by the Research Ethics Committee of Mbarara University of Science and Technology. Participation was voluntary and informed written consent was obtained from all the students and their legal guardian. All procedures performed were in accordance with the 1964 Helsinki declaration and its later amendments.

Consent for publication

Not applicable.

Competing interests

The author declares that there is no competing interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and Permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Anyanwu, M.U. Psychological distress in adolescents: prevalence and its relation to high-risk behaviors among secondary school students in Mbarara Municipality, Uganda. BMC Psychol 11, 5 (2023). https://doi.org/10.1186/s40359-023-01039-z

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s40359-023-01039-z

Keywords

  • Psychological distress
  • Risky behaviors
  • Adolescents
  • Substance use
  • Students
  • Uganda

BMC Psychology

ISSN: 2050-7283

Contact us