The Prevalence and Co-Occurrence of Depresion, Anxiety and Attention Deficit Hyperactrivity Disorder Among Medical Students in a Tertiary Institution- A Cross Sectional Study


Authors : Zawadi Kimari; Dr. Teresia Mutavi; Dr. Catherine Gitau; Dr. Charlene Gumbo

Volume/Issue : Volume 10 - 2025, Issue 7 - July


Google Scholar : https://tinyurl.com/msfbnv69

Scribd : https://tinyurl.com/4jxe4m8e

DOI : https://doi.org/10.38124/ijisrt/25jul1718

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.

Note : Google Scholar may take 30 to 40 days to display the article.


Abstract : Background: One of the key areas in the 2030 agenda for sustainable development is universal good health and wellbeing. This objective encompasses beyond universal health coverage, access to effective, quality and affordable medical care across all health priorities which include communicable and non-communicable illnesses. Over the past decade there has been mounting concern over the increase of mental health challenges globally indiscriminately. In comparison to the general population, medical students, who are tasked to help meet this SDG, exhibit significantly higher rates of mental health difficulties with depression and anxiety being the most common. Numerous studies have also been conducted to explore the prevalence of Attention Deficit Hyperactivity Disorder (ADHD) among medical students whose outcomes have equally been alarming.  Objectives: The broad objective of this study was to investigate the association between depression, anxiety, and ADHD among medical students at the University of Nairobi.  Methodology: Quantitative cross-sectional study design was conducted. Yamane's formula was used to determine the stratified cluster sampling method inclusive of all undergraduate academic years in the study of medicine.Systematic sampling was used to recruit eligible study participants who were informed through their respective class representatives totaling the desired sample of 335. The study objective and ethical considerations were explained. After consenting, a link to an online questionnaire incorporating socio-demographic questionnaire, PHQ 9, GAD 7 and the ASRS v1.1 was shared to them, to assess them for depression, anxiety, and ADHD.  Data Collection & Analysis: Data was collected through Kobo Collect online questionnaire and analyzed through Stata v14.2.  Results: 335 respondents were recruited into the study with 51.64% being females and 162 48.35% males. Those aged 18-22 comprised majority of the participants at 62.99%, followed by 23-26 years at 27.76%, 27-30 years 8.06% and above 30 years <2%. Presence and severity of ADHD, assessed using the WHO ASRS v1.1. With the screener, the prevalence of ADHD was 32.54%. Presence and severity of depression were assessed using the PhQ-9. 54% of the participants reported some form of depression ranging from moderate to severe levels. In addition, presence and severity of anxiety were assessed using the GAD-7. Participants who reported moderate to severe symptoms of anxiety were 43% of the total sample. Ordinal logistic regression showed that students who exhibit ADHD symptoms are 9.28 times significantly more likely to develop anxiety compared to those who don’t, p = 0.000; and 8.63 times significantly more likely to develop depression severity, p= 0. 000.  Conclusion and Recommendations: The prevalence rates reported are significantly higher than those in other similar studies across the world. Consequently pushing the agenda on attempting to understand risk factors towards the development of depression and anxiety as well as adult ADHD within the college of Health Sciences.

Keywords : ADHD, Depression, Anxiety, Medical Students.

References :

  1. B. Franke, G. M. (2018). Live fast, die young? A review on the developmental trajectories of ADHD across th lifespan. Eur Neuropsychopharmacol, 1059-1088.
  2. Kessler, R. C. (2005). The World Health Organization Adult ADHD Self-Report Scale (ASRS): a short screening scale for use in the general population. Psychological medicine, 35, 245-256.
  3. Kroenke, K. S. (1999). Patient Health Questionnaire-9 (PHQ-9.
  4. L. Atwoli, P. O. (2010, May). Self-reported attention deficit and hyperactivity disorder symptoms among university students in Eldoret, Kenya. East African Medical Journal, 87(5), 187-191. doi:10.4314/eamj.v87i5.63072
  5. M. Uchida, J. B. (2017). Young Adult Outcome of Attention Deficit Hperactivity Disorder. In L. Hechtman, Attention Deficit Hyperactivity Disorder: Adult outcomes and its predictors (pp. 154-177). New York: Oxford University Press.
  6. Martínez L, P. E. (2016). Executive Dysfunctions: The Role in Attention Deficit Hyperactivity and Post-traumatic Stress Neuropsychiatric Disorders. Front Psychol. .
  7. Meng Shi, L. L. (2018). Associations between symptoms of attention-deficit/ hyperactivity disorder and life satisfaction in medical students: the mediating effect of resilience. . BMC Med Educ 18.
  8. N. Alrahili, A. A.-D. (2019, January). Prevalence of adult attention deficit hyperactivity disorder among medical students in Riyadh City. International Journal of Medicine in Developing Countries, 3(3), 246-251. doi:10.24911/IJMDC.51-1543855405
  9. Njuwa, K. F. (2020, May 7). Factors associated with symptoms of attention deficit hyperactivity disorder among medical students in Cameroon: a web-based cross-sectional study. BMJ Open, 10(5). doi:10.1136/bmjopen-2020-037297
  10. Quek TT, T. W. (2019 ). The Global Prevalence of Anxiety Among Medical Students: A Meta-Analysis. . Int J Environ Res Public Health.
  11. Rotenstein LS, R. M. (2016). Prevalence of Depression, Depressive Symptoms, and Suicidal Ideation Among Medical Students: A Systematic Review and Meta-Analysis. JAMA.316(21), 2214–2236.
  12. Sharma A, C. J. (2014). A review of the pathophysiology, etiology, and treatment of attention-deficit hyperactivity disorder (ADHD). Ann Pharmacother., 209-225.
  13. Spitzer, R. L. (2006). A brief measure for assessing generalized anxiety disorder: The GAD-7. Archives of Internal Medicine, 166(10), , 1092-1097.
  14. Stanton et al. (2018). Distinct dimensions defining the Adult ADHD Self-Report Scale: Implications for assessing inattentive and hyperactive/impulsive symptoms. Psychological Assessment, 30(12), 1549-1559.
  15. Willcutt. (2012, July). The prevalence of DSM-IV attention-deficit/hyperactivity disorder: a meta-analytic review. Neurotherapeutics, 9(3), 490-499. doi:10.1007/s13311-012-0135-8

Background: One of the key areas in the 2030 agenda for sustainable development is universal good health and wellbeing. This objective encompasses beyond universal health coverage, access to effective, quality and affordable medical care across all health priorities which include communicable and non-communicable illnesses. Over the past decade there has been mounting concern over the increase of mental health challenges globally indiscriminately. In comparison to the general population, medical students, who are tasked to help meet this SDG, exhibit significantly higher rates of mental health difficulties with depression and anxiety being the most common. Numerous studies have also been conducted to explore the prevalence of Attention Deficit Hyperactivity Disorder (ADHD) among medical students whose outcomes have equally been alarming.  Objectives: The broad objective of this study was to investigate the association between depression, anxiety, and ADHD among medical students at the University of Nairobi.  Methodology: Quantitative cross-sectional study design was conducted. Yamane's formula was used to determine the stratified cluster sampling method inclusive of all undergraduate academic years in the study of medicine.Systematic sampling was used to recruit eligible study participants who were informed through their respective class representatives totaling the desired sample of 335. The study objective and ethical considerations were explained. After consenting, a link to an online questionnaire incorporating socio-demographic questionnaire, PHQ 9, GAD 7 and the ASRS v1.1 was shared to them, to assess them for depression, anxiety, and ADHD.  Data Collection & Analysis: Data was collected through Kobo Collect online questionnaire and analyzed through Stata v14.2.  Results: 335 respondents were recruited into the study with 51.64% being females and 162 48.35% males. Those aged 18-22 comprised majority of the participants at 62.99%, followed by 23-26 years at 27.76%, 27-30 years 8.06% and above 30 years <2%. Presence and severity of ADHD, assessed using the WHO ASRS v1.1. With the screener, the prevalence of ADHD was 32.54%. Presence and severity of depression were assessed using the PhQ-9. 54% of the participants reported some form of depression ranging from moderate to severe levels. In addition, presence and severity of anxiety were assessed using the GAD-7. Participants who reported moderate to severe symptoms of anxiety were 43% of the total sample. Ordinal logistic regression showed that students who exhibit ADHD symptoms are 9.28 times significantly more likely to develop anxiety compared to those who don’t, p = 0.000; and 8.63 times significantly more likely to develop depression severity, p= 0. 000.  Conclusion and Recommendations: The prevalence rates reported are significantly higher than those in other similar studies across the world. Consequently pushing the agenda on attempting to understand risk factors towards the development of depression and anxiety as well as adult ADHD within the college of Health Sciences.

Keywords : ADHD, Depression, Anxiety, Medical Students.

CALL FOR PAPERS


Paper Submission Last Date
31 - December - 2025

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe