Review Article
Factors associated with depression among young people globally: a narrative review
1Institute for Social Science Research Australia, The University of Queensland, Brisbane, Australia
2School of Health, Wellington Faculty of Health, Victoria University of Wellington, Wellington, New Zealand
Received: 19 June 2020
Accepted: 29 July 2020
*Correspondence:
Mr. Awuni Prosper Mandela Amaltinga,
E-mail: mawuni47@gmail.com
Copyright: © the author(s), publisher and licensee Medip Academy. This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
ABSTRACT
Although depression is a major concern for global health, understanding of this phenomenon has been limited since most of the empirical studies address personal characteristics without much consideration to larger environmental contexts for adolescents globally. The objective was to review factors associated with depression among young people. The researchers adopted a narrative review of selected peer reviewed articles on depression with a focus on the factors associated with depression among young people. The papers were selected according to the six World Health Organization (WHO) regions. The results show that females were at greater risk of depression compared to their male counterparts. Also, genetic predisposition as a result of maternal rumination was a factor for depression among young people in all WHO regions. Past history of depressive symptoms, uncontrollable negative life events, and family-related stressful events contributed significantly to depression among young people. Finally, the study recommends that mental health services at primary healthcare level be prioritized in all Low and Middle-Income countries (LMICs) to help identify and handle early cases of mental health in young people.
Keywords: Depression, Mental health, Young people, Risk Factors
INTRODUCTION
In 2017, the world Health Day had the theme “Depression Let’s talk” bringing attention to its “silent epidemic” globally. Depression is a common mental disorder and globally, more than 350 million people of all ages suffer from depression, an increase of 18% from 2005-2015.1 Depression is the leading cause of disability worldwide and is a major contributor to the overall global burden of disease1.
According to the WHO, in any given year, 20% of adolescents experience mental disorders notably depression and anxiety. Depressive disorders account for highest proportion of (8.2%) of the burden in 10-24 years old, with bipolar disorders accounting for (3.8%) in this age group.2 At its worst, depression can lead to suicide. Untreated or unrecognized depression lead to over 800,000 suicide deaths every year among young people aged 15-29 years old globally.3 Close to 80% of young people with depression and 75% of this age group who commit suicide live in LMICs.3 Although effective treatments exist for depression, only a few people get access, with less than 10% of affected people in countries receiving such treatment.1
Depression in young people may be expressed differently from that in adults. It manifests as behavioral disorders (e.g. irritability, verbal aggression and misconduct), substance abuse and/or concurrent psychiatric problems and usually starts by age 10-24 years.4 It is characterised by somatic (generalized bodily) complaints, school difficulties, fatigue, boredom/apathy, disturbed eating, lack of motivation, decreased concentration and anxiety.4
The world is home to 1.8 billion young people aged 10 to 24 years old5. This number is projected to still peak by 2030 to about 2 billion, with about 50% of this age group currently living in LMICs.5 Considering the demographic dividend of the young population, the objective of the study is to review the factors associated with depression among young people globally. Also, though investments have been made by benevolent organizations, barriers such as lack of resources and trained health-care providers, and social stigma associated with mental disorders and inaccurate assessment still exist. This study will inform proper resource allocation towards mental health in LMICs.
METHODOLOGY
Study setting
The review was done across all WHO six regions. This study selected peer reviewed articles published in all continents the WHO regions which include Africa, America, Europe, East Mediterranean, South East Asia, and the Western Pacific. The researcher divided the study into High-Income Countries and Low and Middle-Income Countries according to World Bank classification for easy analysis.
Study population
The study considered young people aged 10-24 years old in high-income countries and Lower and middle-income countries. The review was carried out from December 2018 to December 2019.
Study selection
Inclusion criteria
For the purpose of this review, age groups of 10-24 years old have been considered with no exclusion based on gender or ethnicity or race. Peer reviewed papers published from 2010 to 2017 in printed or electronic format were considered. In order to include a study of comparable quality, the researchers included studies of all kind from Randomized control trials, quasi-experimental, that reported associated factors with depression. Studies that did not fall within the year 2010-2017 group and studies carried out based on Religious characteristics were excluded. Also, articles that did not report any factors were excluded.
Search strategy
Study selection and data collection
All the titles and abstracts extracted were scanned thoroughly for relevance. Duplicate articles and those that did not meet inclusion criteria were removed. Full-text papers were also selected. The selection was based primarily on factors associated with depression (Table 1)
Key sources of searching for information
The main source on the researchers was online search of literature from academic publishing sites, as well as the review of manual academic write-ups (Table 2).
Statistical analysis
A narrative synthesis of the retrieved studies was used to answer questions of this review. This was done because of the time for the work and the fact that studies for prevalence, and factors associated with depression among young people globally were so varying and would not allow for quantitative analysis of the findings from the study.
RESULTS
Search results
An initial online and manual search on the database produced 700 articles for further review. However, a total of 308 articles were eliminated from the review upon scrutinizing titles and abstracts. The researchers excluded all duplicate or studies that did not actually fall under the year (2010-2017), as well as studies carried in ages above 10-24 years old. 392 articles were further analysed and those that did not fall within the objectives were further excluded. This meant that 200 articles had to be removed from the study.
Consequently, 192 articles were reviewed and 88 further excluded from the study as some did not give clear descriptions of the objectives that the researcher sought to achieve. Finally, full-text 104 peer reviewed articles were further analysed results and 34 articles on risk factors were used for the study. Some of the articles contain information on both risk factors and prevalence which has been included. All articles were published in English.
Risk factors associated with depression in young people
A total of 34 articles reviewed from both hics and lmics on factors associated with depression among young people have been summarized in Tables 3-7. A total of 15 articles cited gender as the common risk factor for the onset of depression among young people. Also, 13 articles reported childhood adversities, interpersonal relationship with adolescents or peers. While past history with depressive symptoms, uncontrollable negative life events and family-related stressful events were reported by 5 articles as factors associated with depression among young people.
From the review summarized in the Tables 3-7, there was a manifold of risk factors and a lack of common data. However, young females reported greater risk for depression compared to their male counterparts. Genetic predisposition as a result of maternal rumination was reported as a factor for depression among young people globally. All the factors have been categorized into five main subgroups:
Demographic factors including age, genetics, gender, parents’ education, socioeconomic status, location, and a number of households. Communicational problems including parents' divorce, the relationship between adolescent-parents, inter-parental relationship, parenting styles, violence, and punishment. Educational factors including poor academic performance, school change, extracurricular activities, type of school, degree, and field of education. Psychological factors including a history of mental illnesses in the family, stressful events (such as death and divorce), and personality. Other factors including overweight and obesity, internet addiction, smoking, and drug abuse.
DISCUSSION
Factors associated with the onset of depression among young people globally.
Demographic factors including age, genetics, gender, parents’ education, socioeconomic status, location, and a number of households.
The review show gender, genetic, household, housing and age factors.6-12 Also, maternal health, the mental health of parents and the physical health of parents have been cited by.13-16 These are cited as reasons contributing to the onset of depression in young people. The genetic make-up of an individual seems to have a strong link for the onset of depression and from the review; most of these studies have been done in the hics and none in the lmics. Also there have been studies citing gender as a contributing factor for onset of depression.8 Female gender in particular according to although the reasons for this post-pubertal onset are not fully understood, adolescent depression seems more closely tied to female hormonal changes than to age.17 Other studies argue that hormonal changes alone cannot contribute to depression, but hormones have contributed by sensitizing the brain during stress.18 This means that females are not just prone due to certain hormonal factors, but sensitization on the brain during adverse stress makes them vulnerable to onset of depression. From the review, it is certain that the location of an individual has a bearing on the mental health status of an adolescent as evident from those from lmics more prone than those from hics. Other studies, for instance, systematic review of 55 studies from 23 countries examining the impact of socio-economic inequalities among children and adolescents found that the socioeconomically disadvantaged were 2-3 times more likely to develop mental health problems.19 Of significance is that longitudinal studies not only confirmed this association but also found that an improvement in socioeconomic status resulted in a significant reduction in and remission of mental health problems.19,20 Children from socio-economically disadvantaged families were three times more likely to develop mental health problems, unsecured debt has been found to be strongly associated with depression.21,22 This confirms the results from review of articles citing more adolescents from lmics with depression compared to hics adolescents. Socioeconomics factors have been a significant factor in lmics for onset of depression among young people especially with 50% of young people aged 10-18 living in the world’s poorest countries according to the UNFPA.
Communicational problems including parents' divorce, the relationship between adolescent-parents, inter-parental relationship, parenting styles, violence, and punishment.
A number of the reviews show that adolescents from violent homes, divorce their relationship with parents, relationship between adolescents and parenting style have a big role to play in the onset of depression. Studies show that chaotic and violent homes, have enormous effects on the health of youths.8-10,12,23-27 Similarly, 50% of depression among young people is attributed to adverse life events from home and community.28 Research has also shown that long term exposure to parental conflict can bring about the onset of depression, parent child relationships, this results in adolescents developing anxiety and depression as studies has shown.24,29,30 Educational factors including poor academic performance, school change, extracurricular activities, school bullying, and field of education.
A number of the reviews have shown that academic stress including bullying is contributing factor for the onset of depression among young people in both lmics and hics.31-33 Most studies have attributed academic stress especially among medical students for the onset of depression among young people. This is evident in many lmics where young people in medical school are usually under pressure to perform in order to become breadwinners of their families compared to hics medical students who have no pressure from families, as some reviews show how medical students are depressed with studies and this can be troubling.34 Also, a who study of 40 developing countries showed that the rate of youth exposure to bullying ranged from 8.6%–45.2% among boys and 4.8%–35.8% among girls. Studies have cited bullying from the review as an associating factor for onset of depression in young people.11 In England, a longitudinal survey carried by the department for children on the young people of England found almost half 47% of young people reported being bullied at age 14, however this decreased with age to about 41%. The decrease is believed to be 41% for age 15 and 29% for age 16. Those who had parents report bullied, however, did not experience bullying. This proves that more adolescents develop depression from bullying various kinds. All these factors can prevent young people from performing as expected by parents. In most countries the stress and pressure that comes with learning put so much strain on students as the results hence usually resulting in suicide, evident from literature review in the case of South Korea.
Psychological factors including a history of mental illnesses in the family, stressful events (such as death and divorce), and personality.
The reviews show a history of mental health in the family can be a factor for the onset of mental conditions. Studies have shown that parental mental health can be a factor in the onset of depression.35 Also, stressful life events like a disaster, bereavement, in the life of an individual especially adolescents HIV/AIDS status, sexual harassment contribute to poor mental health among young people.26,36,37 Studies show that about 77% of posttraumatic exposure and 31% exposure time cause depression in youth.14,38,39 Societal pressures such as stigma and social exclusion have an effect on the onset of depression too.40 This has been shown by some studies conducted to prove the need for societal support to young people. Adverse life events, such as physical assault, death of a close relative, unemployment, or termination of, a romantic relationship, have been found to be associated with more severe depression and this can also contribute to poor academic performance.41 A systematic review of 181 studies of young adults exposed to conflict and displacement found that more than 30% suffered from both depression and PTSD, and these are usually evident in wars, disasters and emergencies mostly seen in many lmics.42 Research consistently suggests that “stressful life events both major and minor often precede the onset of depression, and that an accumulation of stressors can have a graded relationship with the severity of the resulting depressive disorder”.
Other factors including overweight and obesity, internet addiction, smoking, and drug abuse.
Few studies from the review has shown some of the above factors associated for the onset of depression among young people.24,26,43-45 Studies indicate adolescence sex inequalities from early adolescence in Europe, Canada, and the USA, where girls consistently have poorer wellbeing indicators, such as self-rated health, psychosomatic complaints or symptoms, and life satisfaction, whereas boys have consistently higher levels of injury and being overweight.46 In the UK, a study of people who had experienced homelessness and other domains of deep social exclusion (e.g. Institutional care, substance misuse, gangs etc.); found majority of respondents had experienced a range of troubled childhoods influenced by school and/or family problems. Many also reported traumatic experiences, such as sexual or physical abuse and neglect. These experiences were most commonly reported by respondents under 25 years of age.20 As part of internet addictions, most articles cited most hics with some of these factors among young people, though most young people in lmics now have access to internet services.
Study limitation
This narrative review has a number of important limitations, which impact on its validity. Firstly, there are limitations relating to the scope of the systematic search, which impact on the validity of the findings. A search in languages other than English was not undertaken and, therefore, key studies in other languages, for instance, French, Spanish, Portuguese and Arabic, mandarin was not included. Secondly, there are limitations relating to the selection criteria, which also impact on the validity of the findings. Studies were reviewed from a few selected countries from each region which may not be representative in the search process.
Also, as a narrative synthesis, the review is not designed to generate summary statistics from meta-analyses. Despite these limitations, the studies included in this review clearly provide evidence on how a plethora of factors are associated with the onset of depression among young people and its prevalence among young people globally. It further demonstrates how high quality and effective mental health promotion interventions, and their evaluation through well-designed research studies, are feasible in lmic setting though there is lack of human resource.
CONCLUSION
The most important factors contributing to depression were: the female sex, biological (pre, inter and post-conception), poor inter-parental relationship, poor adolescent-parent relationship, socioeconomic status of parents, nature of parenting styles, stressful life events, academic pressure, and bullying. Socio-economic status of parents was the major reasons for the onset of depression in young people in LMICs. However in Africa Region, stressful life events such as HIV/AIDS and conflicts were responsible for the onset of depression. Biological factors were prominent in most studies and further research is needed to investigate the association between different psychosocial risk factors and its explanation for different status of major depressive disorder among youth.
Education of adolescent females in their reproductive age on the risk factors for the onset of depression, this will enhance the change of their lifestyle to reduce the risk associated with preconception. Reproductive health education should include mental health to help expectant mothers take measures to prevent stress during pregnancy to reduce the risk of depression later in the life of young people. Parents and caregivers should be educated on how to keep conflicts in homes away from children, manage divorce well to avoid children from being hurt, and dedicate more time to their children to enhance good coping mechanism. Enhancing public health program focused on violence against children.
ACKNOWLEDGEMENT
We Dr. Quynh Anh Trang at the Hanoi medical university for an expert advice on the review
Funding: No funding sources
Conflict of interest: None declared
Ethical approval: Not required
REFERENCES
- 1. World Health Organization. Depression - WHO | World Health Organization. WHO media center. 2017;: www.who.int › Media centre › Fact sheets. Accessed on 20 July 2017.
- 2. Rocha TBM, Zeni CP, Caetano SC, Kieling C. Mood disorders in childhood and adolescence. Revista Brasileira de Psiquiatria. 2013;35:S22-S31.
- 3. Ferrari AJ, Charlson FJ, Norman RE, Patten SB, Freedman G, Murray CJ, et al. Burden of depressive disorders by country, sex, age, and year: findings from the global burden of disease study. PLoS Medicine 2010:2010;3:10:e1001547.
- 4. Sabaté E. Depression in Young People and the Elderly. Department of Economics and Social Affairs. 7 October,2004;Background Paper (Accessed on 01 April 2017).
- 5. UNFPA. The power of 1.8 billion: adolescents, youth and the transformation of the future. United Nations. 2014; retrieved from www.unfpa.org/sites/default/files/pub-pdf(EN-SWOP14-Report):1-10. Accessed on 20 July 2017.
- 6. Sachs-Ericsson N, Selby EA, Hames JL, Joiner TE, Fingerman KL, Zarit SH, et al. Transmission of parental neuroticism to offspring's depression: the mediating role of rumination. Personal Ment Health. 2014;8(4):306-19.
- 7. Fezeh Jafari, Golam-Reza Manshaee, Zahra Yousefi. Mothers Characters and Adolescence Depression. Research Gate. 2014; https://www.researchgate.net/publication/269791306_Mothers_Characters_and_Adolescence_Depression. Accessed on 22 May 2017.
- 8. Armine Vardanyan. Risk factors and prevalence of adolescent depression in Yerevan, Armenia School of Public Health American University of Armenia Yerevan, Armenia 2013;.http://www.aua.am/chsr/UserFiles/File/new/Thesis%202013/Armine%20Vardanyan_2013.pdf. Accessed on the 20 June2017.
- 9. Yasmin Parpio, Salima Farooq, Saleema Gulzar, Ambreen Tharani, Tazeen Saeed Ali, Fawad Javed. Factors associated with stress among adolescents in the city of Nawabshah, Pakistan. J Pakistan Medical Association. 2012;62 (11):1209-13.
- 10. Perumal Murthy, Kariyarath Cheriyath Premarajan, Kattimani S. A Community-Based Study on Prevalence of Depression among Adolescents in Rural Puducherry. Int J Preven Curat Comm Med. 2015;1(3).
- 11. Kim MH, Mazenga AC, Yu X, Devandra A, Nguyen C, Ahmed S, et al. Factors associated with depression among adolescents living with HIV in Malawi. BMC Psychiatry. 2015;15(1):264.
- 12. Raheel H. Depression and associated factors among adolescent females in Riyadh, Kingdom of Saudi Arabia, a cross-sectional study. Int J Preventive Medi. 2015;6(1):90.
- 13. Amy H Mezulis, Rachel H. Salk, Janet Shibley Hyde, Jordan Simonson. Affective, Biological, and Cognitive Predictors of Depressive Symptom Trajectories in Adolescence. J Abnormal Child Psychol. May 2014;42(4):539–50
- 14. Benjet C. Childhood adversities of populations living in low-income countries: prevalence, characteristics and mental health consequences. Current Opinions in Psychiatry. 2010;23(4):356-62.
- 15. Kieling C, H. Baker-Henningham, M. Belfer, G. Conti, I. Ertem, O. Omigbodun, et al. Child and adolescent mental health worldwide: evidence for action. The Lancet,. 2011;378(9801):1515–25.
- 16. Zashikhina A, Hagglof B. Mental health in adolescents with chronic physical illness versus controls in Northern Russia. Acta paediatrica (Oslo, Norway: 1992).2007;96(6):890-6.
- 17. Angold A, Costello EJ, Erkanli A, Worthman CM. Pubertal changes in hormone levels and depression in girls. P Psychol Med. 1999;29:1043-53.
- 18. Goodyer IM, Herbert J, Tamplin A, Altham PME. Recent life events, cortisol, dehydroepiandrosterone and the onset of major depression in high-risk adolescents. Br J Psychiatry. 2000;77:499-504.
- 19. Reiss F. Socioeconomic inequalities and mental health problems in children and adolescents: a systematic review.Social Science & Medicine. 2013;90:24-31.
- 20. Mental Health Foundation. Fundamental facts about mental health. Mental health foundation. UK. 2015.
- 21. Ewa Mojs, Katarzyna Warchol-Biederman, Wlodzimierz Samborski. Prevalence of Depression and Suicidal Thoughts amongst University Students in Poznan, Poland. Psychology 2012;3(2):132-5.
- 22. Richardson T, Elliott P, Roberts R. The relationship between personal unsecured debt and mental and physical health: a systematic review and meta-analysis. Clinical psychology review. 2013;33(8):1148-62.
- 23. Einar B. Thorsteinsson, Stephanie Mariee Ryan, Sveinbjornsdottir S. The Mediating Effects of Social Support and Coping on the Stress-Depression Relationship in Rural and Urban Adolescents Open J Depression 2013;2(1):1-6.
- 24. Lee RB, Maria MS, Estanislao S, C R. Factors Associated with Depressive Symptoms among Filipino University Students. PLoS ONE. 2013;8(11):e79825.
- 25. Leigh A. Leslie, Cook ET. Maternal Trauma and Adolescent Depression: Is Parenting Style a Moderator? Psychology. 2015;6(6):Article ID:56127,7 pages 10.4236/psych.2015.66066.
- 26. Nduna M, Jewkes RK, Dunkle KL, Shai NP, Colman I. Associations between depressive symptoms, sexual behaviour and relationship characteristics: a prospective cohort study of young women and men in the Eastern Cape. J Int AIDS Soc. 2010;13.
- 27. Sherman DJ. The neglected health care needs of street youth. Public Health Reports. 1992(107):4.
- 28. Kessler RC, R. G. Frank. The impact of psychiatric disorders on work loss days. T Psychological Medicine. 1997;27(4):861–73.
- 29. Davies P, Windle M. Inter parental discord and adolescent adjustment trajectories: The potentiating and protective role of intrapersonal attitudes. Child Development. 2001;72:1163–78.
- 30. Field T. Adolescent depression and risk factors. Adolescence,. 2001;36(143).
- 31. Lee G, McCreary, Linda; Kim, Mi Ja; Park, Gi; C, Jun WH, et al. Depression in Low-Income Elementary School Children in South Korea: Gender Differences. J School Nursing. 2013;29(2):132-41.
- 32. Karaoglu n, Şeker m. Anxiety and depression in medical students related to desire for and expectations from a medical career. West Indian med j. 2010;59(2):196-202 .
- 33. Karl Peltzer, Supa Pengpid, Sola Olowu, Matthew Olasupo. Depression and Associated Factors Among University Students in Western Nigeria. Journal of Psychology in Africa 2014;23(3):459-65.
- 34. El-Missiry A, Soltan M, Hadi MA, Sabry W. Screening for depression in a sample of Egyptian secondary school female students. . Journal of Affective Disorders. 2012;136(1-2):61-8.
- 35. Angel B, A. Hjern, Ingleby D. Effects of war and organized violence on children: a study of Bosnian refugees in Sweden. Am J Orthopsychiatry. 2001;71(1).
- 36. Tang B, Liu X, Liu Y, Xue C, Zhang L. A meta-analysis of risk factors for depression in adults and children after natural disasters. BMC Public Health. 2014;14(1):623.
- 37. Embleton L, A. Mwangi, R. Vreeman, D. Ayuku, P. Braitstein. The epidemiology of substance use among street children in resource-constrained settings: a systematic review and meta-analysis. . TAddiction. 2013;108(10):1722-33.
- 38. Briggs EC, J. A. Fairbank, J. K. P. Greeson, C. M. Layne, A. M. Steinberg, L. M. Amaya-Jackson, et al. Links between child and adolescent trauma exposure and service use histories in a national clinic-referred sample. . Psychological Trauma: Theory, Research, Practice, and policy. (2013);5(2):101-9.
- 39. Fan F, Y. Zhang, Y. Yang, L. Mo, X. Liu. Symptoms of posttraumatic stress disorder, depression and anxiety among adolescents following the 2008 Wenchuan earthquake in China. J Traumatic Stress. 2011;24(1):44-53.
- 40. Lund C, A. Breen, A. J. Flisher, R. Kakuma, J. Corrigall, J. A. Joska, et al. Poverty and common mental disorders in low and middle income countries: A systematic review. Social Science and Medicine. 2010;71,No 3,:517-28.
- 41. Department of Economics and Social Affairs. Mental Health matters: Social inclusion of Youth with Mental Health conditions. United Nations. 2014;http//undesadspd.org/Youth.aspx:Accessed 07 March 2017.
- 42. Reed RV, Fazel M, Jones L, Panter-Brick C, Stein A. mental health of displaced and refugee children resettled in low-income and middle-income countries: risk and protective factors. Lancet. 2012;379(9812):250-65.
- 43. Einar B. Thorsteinsson, Davey L. Adolescents' Compulsive Internet Use and Depression: A Longitudinal Study. Open J Depression. 2014;Accessed on 22 May 2017.
- 44. David A. Cole, Sun-Joo Cho, Nina C. Martin, Eric A. Youngstrom, John S. March. Are Increased Weight and Appetite Useful Indicators of Depression in Children and Adolescents. J Abnormal Psychology 2012;121(4):838-51.
- 45. Yackobovitch-Gavan M, Meshy-Tamir R, Nagelberg N, Phillip M, Meyerovitch J. Psychosocial Factors Associated with Depressive Mood in Israeli Obese Adolescents 2013.
- 46. Russell M Viner, Elizabeth M Ozer, Simon Denny, Michael Marmot, Michael Resnick, Adesegun Fatusi, et al. Adolescence and the social determinants of health. Lancet. 2012;379:1641-52
- 47. Jutta Mata, Renee J. Thompson, Gotlib IH. BDNF Genotype Moderates the Relation Between Physical Activity and Depressive Symptoms. Health Psychology. 2010;29(2):130-3.