Depressive symptoms and perceived burdens related to being a student: Survey in three European countries
© Mikolajczyk et al; licensee BioMed Central Ltd. 2008
Received: 23 October 2007
Accepted: 03 July 2008
Published: 03 July 2008
Despite a high prevalence of depressive symptoms among university students, few studies have examined how this mental health problem is associated with perceived stress and perceived burdens related to being a student.
We conducted a cross-sectional study of 2,103 first year students from one western (Germany), one central (Poland), and one south-eastern European country (Bulgaria). The self-administered questionnaires included the modified Beck Depression Inventory and Cohen's Perceived Stress Scale. A 13 item scale measured perceived burdens related to being a student with four subscales: "Course work", "Relationships", "Isolation", and "Future".
Depressive symptoms were highly prevalent in all three countries (M-BDI ≥35: 34% in Poland, 39% in Bulgaria, and 23% in Germany). Students felt more burdened by course work and bad job prospects ("Future") than by relationship problems or by feelings of isolation. The perceived burdens subscales "Future", "Relationship" and "Isolation" remained associated with depressive symptoms after adjusting for perceived stress, which displayed a strong association with depressive symptoms. The association between perceived stress and depressive symptoms differed by gender. These findings were similar in all three countries.
Perceived burdens related to studying are positively associated with higher depression scores among students, not only by mediation through perceived stress but also directly. While the strong association between perceived stress and depressive symptoms suggests the need for interventions that improve stress management, perceived burdens should also be addressed.
Depressive symptoms have been identified as a health problem among college or university students in many countries [1–7]. Depressive symptoms or depressive moods are different from a clinical diagnosis of depression, and are usually assessed using self-reported frequencies of feeling sad, nervous, hopeless, worthless, etc. Moderate depressive symptoms have been reported in as many as 43% of students in Central-Eastern European countries and 31% of students in Western Europe . A recent review reported mild or moderate symptoms of depression in up to 25% of medical student populations in the U.S. and Canada . In a representative study conducted in 1997, more than a quarter of German students reported that a mental health problem was affecting their ability to study, with a higher fraction among females than males (30% vs. 24%, respectively) . Among mental health problems, depressive mood was the third most common, reported by 18% of respondents.
Despite the high prevalence of depressive symptoms in student populations, little is known about their association with specific aspects of student life, especially in the initial phase of being a student when many changes occur and adaptation processes take place . The potentially relevant aspects of student life are not only learning related, but may include social interactions with peers, a possible change of residence – away from family and friends, and a changing financial situation. The extent to which these changes are perceived to be burdens by students may depend on their coping mechanisms, social support, and ability to adapt [4, 8, 11]. These perceived burdens could independently influence mental health or could be conceptualised as stressors. In general, stress occurs when there are demands on an individual that exceed his or her coping capabilities . Perceived stress and depressive symptoms are usually strongly associated . However, it is not clear whether the effect of perceived burdens on depression can be fully explained by perceived stress or whether feeling burdened is independently associated with depressive symptoms after adjusting for perceived stress. A better understanding of these two different pathways would be useful to guide the selection of intervention strategies that primarily address stress management or study environment-related factors.
Very little research has been conducted on mental health status among students in former socialist countries. Therefore, we assessed depressive symptoms, perceived stress, and perceived burdens related to being a student comparatively among university students from Germany, Poland, and Bulgaria. The specific aims were to: 1) investigate the association between perceived burdens and depressive symptoms, controlling for socio-economic characteristics and academic performance at the university, but not adjusting for stress (this is equivalent to the assumption that perceived stress is a mediating variable only and that the impact of stress on depressive symptoms is fully explained by perceived burdens and other variables in the model); 2) assess the effect of perceived burdens on depressive symptoms, controlling for stress (this is equivalent to investigating the effects of perceived burdens which are not mediated by stress); 3) assess the association between the variables used for adjustment in the above models and depressive symptoms.
Survey sample and questionnaire
The data was collected as part of the Cross-National Student Health Study (CNSHS), a collaboration among several European universities conducting student health surveys . This analysis is based on surveys administered in 2005 at three universities: University of Bielefeld (Germany), Catholic University of Lublin (Poland), and Sofia University (Bulgaria). In further text we will use the country names to denote the respective samples. At each site, the first semester lectures/seminars were selected so as to obtain similarity between the samples: one third of the sample from natural sciences, one third from social sciences and languages, and one third from law and economy. Students were asked towards the end of lectures to complete the surveys. Student participation in the study was voluntary and anonymous; students were informed that by completing the questionnaire, they agree to participate in the study; and no incentives were provided. The participants completed a self-administered questionnaire covering a range of health issues, including mental health. The questionnaire was initially compiled in German language and was subsequently translated into Polish and Bulgarian employing two independent translators for each language. For both translations, cases of disagreement were resolved by the appropriate investigators who were native speakers in Polish (RTM) and Bulgarian (VN) and had expertise in survey research. The response rate was 85% in the German sample and above 95% in both the Polish and Bulgarian samples.
Depressive symptoms were measured using the a modified version of Beck Depression Inventory (M-BDI), available in German language [15, 16]. The Beck Depression Inventory (BDI) has been used since the early 1960s to identify and assess depressive symptoms and has an established validity and reliability . The original BDI consists of 21 symptoms measured with four statements each, but subsequently, shorter versions have been developed . The modification used in this analysis replaced each symptom's four statements with a single statement that used a 6-point Likert scale ranging from '0 = Never' to '6 = Almost Always'; and excluded the symptom of weight loss (thought to be not specific enough). The M-BDI items assess the frequency of depressive symptoms such as hopelessness and irritability, cognitions such as guilt or feelings of being punished, as well as physical symptoms such as fatigue, loss of appetite, and lack of interest in sex. The German language M-BDI, as all other versions of the BDI, computes a single score for individual respondents by summing their responses for all items of the scale. The construct and criterion validity and measurement equivalence of the M-BDI, as compared to the original BDI, have been previously demonstrated in a German general population sample and selected subsamples . A cut-off score of ≥ 35 has been provided for screening for clinically relevant depression. This cut-off point had the best balance of sensitivity (92%) and specificity (91%) in screening for major depression, and corresponded to the 85th percentile of a representative sample of the German population .
Perceived stress was assessed using the 14-item Perceived Stress Scale (PSS) , which measures the degree to which a respondent appraises situations his or her life as stressful. Items were designed to gauge how unpredictable, uncontrollable, and overloaded respondents find their lives. These 14 items used a 4-point Likert scale response format, ranging from '0 = Never' to '4 = Very Often.' Scores for individual respondents were obtained by averaging their responses to all the items of the scale. The internal reliability (Cronbach's alpha) of the scale in a probability sample of the U.S. population was 0.78 . Predictive and discriminant validities of the scale have been demonstrated in several studies that relate the measured concept of stress to health outcomes [21, 22]. Bulgarian and Polish translations of the PSS were performed for the purpose of this study.
Measures used in this study and their internal reliability
No of items
Description and Response Scales
Depressive Symptoms: Modified Beck Depression Index (6 point Likert scale: never – nearly always)
Perceived Stress: Cohen's perceived stress scale (5 point Likert scale: never – very often)
Perceived Burdens+ – subscale: "Isolation" (Problems with fellow students; Isolation at the university; Isolation in general; Anonymity at university; Problems with friends)
Perceived Burdens+ – subscale "Relationships" (Relationship with significant other; Sexuality)
Perceived Burdens+ – subscale "Course work" (Studies in general; Exams; Assignments; Presentations)
Perceived Burdens+ – subscale "Future" (Bad job prospects; Lack of practical relevance of studies)
Other variables used in the analysis were gender of the respondent; having a partner (boy-/girlfriend or spouse); respondent's subjective economic situation (measured by a single item: "How sufficient is your income?" on a 4-point response scale from 'Totally sufficient' to 'Not sufficient at all'); and performance at the university (measured by a single item: "How would you rate your performance at the university in comparison to others?" on a 5-point response scale from 'Much Better' to 'Much Worse,' subsequently collapsed into three categories for analysis: 'Worse' (much worse and worse), 'Average,' and 'Better' (much better and better)).
For descriptive analysis, we tabulated frequencies and means. We used ANOVA and t-test for bivariate analysis. The correlations between the perceived burden subscales and PSSs ranged from 0.24 to 0.36. Based on Burnand, et al, we considered r < 0.30 to indicate negligible associations and 0.30 < r < 0.45 to indicate moderate correlations. We used two linear regression models to compare the total and stress independent effects of perceived burdens on depressive symptoms. Both models included nine independent variables and used the depression score as the outcome. Model 2 evaluated the change from total to stress independent effects by including a perceived stress score. We used the partial eta-square to evaluate the strength of association between the different variables and depressive symptoms. The partial eta-square is the amount of the effect and error variance attributable to the given variable, and as such it allows for the comparison of the effect size of different variables, independent of any other variables that are included in the model [24, 25]. In model 2, which included perceived stress, all two-way interactions were investigated jointly. We applied backwards elimination based on the Wald test to exclude terms that were not significant at the ≤ 0.05 level. All statistical analyses were performed with SPSS® 12.
Description of the sample
Characteristics of the sample (%, unless indicated)
Bielefeld, Germany N = 803
Lublin, Poland N = 591
Sofia, Bulgaria N = 709
Having a partner
Field of study
Basic science and engineering
Social science, art, teaching, languages
Business and law
Perceived burdens related to studying
Mean [range] (SD)
Mean [range] (SD)
Mean [range] (SD)
4.19 [1–6] (1.12)
4.20 [1–6] (1.19)
3.83 [1–6] (1.24)
3.16 [1–6] (1.18)
3.25 [1–6] (1.26)
3.26 [1–6] (1.32)
2.06 [1–6] (1.33)
2.06 [1–6] (1.37)
2.28 [1–6] (1.28)
1.90 [1–6] (0.81)
2.07 [1–5.2] (0.86)
1.88 [1–5.4] (0.91)
1.73 [4–51] (0.57)
1.99 [10–52] (0.57)
1.83 [5–51] (0.56)
Students were more burdened by course work, taking exams, and completing assignments (subscale "Course work") and by bad job prospects and lack of practical relevance of their studies (subscale "Future") than by relationship problems (subscale "Relationships") or by feelings of being isolated (subscale "Isolation") (Table 2, bottom section). The overall pattern of perceived burdens was similar for all three countries. Perceived stress was highest in Poland, followed by Bulgaria and Germany.
In general, the M-BDI scores were relatively high, with 23% of German students, 34% of Polish students, and 39% of Bulgarian students exhibiting scores ≥ 35. The higher values among Bulgarian students resulted from the whole distribution being shifted to the right. Whereas among Polish students there was larger heterogeneity, with a hint of bimodality in the distribution and a second peak at an M-BDI score of about 40 (not shown). The findings regarding the shape of the distribution were similar for both genders.
Bivariate analysis of associations between different factors and depressive symptoms
Modified Beck Depression Index (M-BDI) for different subgroups and correlations between M-BDI and continuous variables
Mean M-BDI (SD)
Having a partner
Sufficiency of income
Not sufficient at all
Performance at the university
Correlation coefficient (Pearson r)
Perceived burdens: Isolation#
Perceived burdens: Relationships#
Perceived burdens: Course work#
Perceived burdens: Future#
Role of perceived stress in the association between perceived burdens and depressive symptoms
Total and stress independent associations between different variables and the depression score (p-value obtained from F-test and partial eta2 obtained from multiple analysis of covariance)
Perceived burdens: Course work
Perceived burdens: Isolation
Perceived burdens: Relationships
Perceived burdens: Future
Having a partner
Sufficiency of income
Performance at the university
(not included in the model)
Association of adjusting variables with depressive symptoms
Change in M-BDI score according to different characteristics
Linear coefficient (95% CI)
Perceived burdens: Isolation*
3.19 (2.51; 3.88)
Perceived burdens: Relationships*
0.86 (0.45; 1.26)
Perceived burdens: Future*
0.88 (0.45; 1.31)
Germany vs. Bulgaria
-3.97 (-5.16; -2.79)
Poland vs. Bulgaria
-3.70 (-5.05; -2.35)
Male vs. female
-6.06 (-9.52; -2.60)
Academic performance at the university
Better vs. worse
-2.74 (-4.27; -1.20)
Equal vs. worse
-3.88 (-5.21; -2.54)
Perceived stress# (female)
13.27 (11.69; 14.85)
Perceived stress# (male)
17.05 (14.60; 19.50)
This study analysed depressive symptoms in student samples from three universities in three European countries and their association with perceived burdens related to being a student. We found a relatively high level of depressive symptoms as compared to a representative sample of the German population, where the 85th percentile of the M-BDI for 20 to 30 year olds is 35 for the total sample, with a five point difference between genders . Similarly, previous reports have shown high levels of depressive symptoms among college or university students [1–7]. Our bivariate finding of higher depression scores among students in Bulgaria and Poland as compared to those from Germany is consistent with two previous studies that reported substantially higher prevalences of depressive symptoms among student samples in Eastern Europe than in Western Europe . However, the difference in M-BDI scores between Poland and Germany disappeared after adjusting for perceived stress, which was particularly high in Poland.
All four subscales of perceived burden were associated with depressive symptoms and, apart from burdens related to course work and exams (subscale "Course work"), the associations persisted after adjusting for perceived stress. Since perceived stress explained the association between the "Course work" burden subscale and depressive symptoms, it seems that stress fully mediated the effects of these burdens. On the contrary, perceived stress only partially acted as a mediator for the "Isolation" and "Relationships" subscales, and did not act as a mediator at all for the "Future" subscale (compare partial eta-square values from models 1 and 2 in Table 4). These findings partly support the distinction between total and mediated effects specified in our aims. While perceived burdens have some conceptual similarity with perceived stress, they have also independent association with depressive symptoms. This may be a result of the perceived stress scale measuring only selected aspects of stress or may be a result of a true conceptual distinction between perceived burdens and stress. Our findings on the extent to which the subscales' associations were mediated by perceived stress ("Course work" the most and "Future" the least) support the suggestion of a true conceptual distinction. Course work is most directly a stressor in students' lives, and the concept of perceived stress is mostly related to the present time, not to the future outlook. This supports the importance of stress management interventions for student health, but also indicates that interventions addressing perceived burdens would be useful.
Only few studies have examined perceived burdens related to being a student, such as grades and competition, career and future success, too many demands and deadlines, financial and health-related burdens , and their impact on mental health . Our findings suggest that more students felt burdened by their course work and exams and an uncertain outlook for the future than by problems with relationships or being isolated, with little differences between countries. When present, however, the feeling of being isolated, had the strongest impact on depressive symptoms; a fact which highlights the importance of social support and the sense of belonging to a group while being a student.
Similarly, economic situation (measured by sufficiency of income) mainly had an indirect effect on depressive symptoms (mediated over perceived stress). After controlling for perceived stress, sufficiency of income was no longer significantly associated with depressive symptoms. These findings underline findings from previous studies that report a strong association between stress and depressive symptoms .
Low perceived academic performance at the university was associated with higher depression scores. Depression scores were lower in the group rating their academic performance highest than in the group with lowest performance, but the lowest depression scores were found among students considering themselves average. This suggests a stronger disposition or tendency towards depression or more pressures in the group with the best academic performance. Low performance may be both a cause and a consequence of depressive symptoms. Other studies have found that students with higher depressive symptoms engage more often in social comparison processes and react more negatively to upward comparisons .
Perceived stress had the strongest association with the depression score in both genders. But whereas females had higher perceived stress scores on average, the impact of perceived stress on depressive symptoms was stronger for males. Gender differences in depressive symptoms increase from preadolescence to young adulthood, evolving around the age of 14 years  and reaching a maximum t about 16–18 years of age . During this same age span, stress also increases in adolescent girls . Avison and McAlpine  showed that the higher level of depression in female high school students was explained by higher levels of stress. In our analysis, the female gender continued to be associated with higher M-BDI scores in the bivariate analysis and after adjusting for other variables in the multivariate analysis, until perceived stress was included in the model (which would agree with the above finding). When perceived stress was included in the model only as the main effect, the gender difference disappeared. However, the gender difference reappeared with the interaction between gender and stress score included in the model. Whereas male students had lower depressive symptoms for low levels of stress as compared to females, their depressive symptoms increased more strongly with stress. This would suggest an additional gender difference with respect to coping with stress and its impact on depressive symptoms, which was not examined previously.
In samples that include older adults, higher depression scores are usually associated with a lack of an intimate or marital relationship . We did find significantly lower depression scores among students who had an intimate partner as compared to those who did not have a partner in the bivariate analysis. However, this association was weak and disappeared after adjusting for perceived stress. Due to the likely rich network of social interactions among students and in university life, we would not expect having a partner to make a strong impact on depression scores Though, since perceived stress does (albeit weakly) mediate the effect of having a partner on depression scores, there is an indication that some level of stress could be associated with not having a partner, even in our relatively young sample.
The sample employed in this study was restricted to first-year students from only one university per country. Thus caution should be exercised in generalizing these findings to all students. The differences we found between the countries might only reflect differences between the three universities that participated in the study. However, we are not aware of any reason to believe that students at these three universities are different from students at other universities in these countries. At each survey site, we achieved a high response rate, preventing selection bias within the investigated populations. We used a relatively recent modification of BDI with the one drawback of limited information (restricted to German samples) on the validity and reliability of the M-BDI [16, 19]. The study only measured depressive symptoms during the past few days. No information was collected on events within or outside the university setting, which could have an affect on depressive symptoms. At all three universities, the survey was conducted during the second half of the summer term, when end of the term exams were not too distant. However, since the timing of the survey was similar at all three universities, this should not have biased our comparisons. The instrument used to measure perceived burdens was not established prior to this study and, apart of the analysis of internal reliability, no further investigations were performed. Given the cross-sectional character of our study, all investigated relationships were associations and no inference about causal association can be made. In particular, depressive symptoms could have also manifested in higher scores on perceived burdens and stress scales.
In summary, students displayed levels of depressive symptoms that were relatively high as compared to the general population in Germany, with even higher levels in the two Eastern European countries. Consistent with other studies, perceived stress was strongly associated with higher depression scores. Previous research has also indicated a difference between Western and Eastern European countries, but our study showed that the difference in depression scores between Germany (Western) and Poland (Eastern) disappeared after adjusting for perceived stress. In addition, perceived burdens were also associated with depressive symptoms. Depending on the subscale, the effects were totally ("Course work"), partially ("Isolation" and "Relationships"), or not ("Future") mediated by perceived stress. These findings were similar for all three countries. While the strong association between perceived stress and depressive symptoms suggests the need for interventions that improve stress management, perceived burdens should also be addressed.
This study was conducted through an international cooperation with the Cross National Students Health Study group. In addition to the authors, this group includes: Alexander Krämer (Bielefeld, Germany); Christiane Stock (Esbjerg, Denmark), Nazmi Bilir, Hilal Ozcebe, Dilek Aslan (Ankara, Turkey); Janina Petkeviciene, Jurate Klumbiene, Irena Miseviciene (Kaunas, Lithuania); Francisco Guillen Grima (Pamplona, Spain); Snezhana Ilieva (Sofia, Bulgaria); Urszula Dudziak (Lublin, Poland), and others. There was no external financial support for this study.
- Ovuga E, Boardman J, Wasserman D: Undergraduate student mental health at Makerere University, Uganda. World Psychiatry. 2006, 5 (1): 51-52.PubMed CentralPubMedGoogle Scholar
- Eller T, Aluoja A, Vasar V, Veldi M: Symptoms of anxiety and depression in Estonian medical students with sleep problems. Depress Anxiety. 2006, 23 (4): 250-256. 10.1002/da.20166.View ArticlePubMedGoogle Scholar
- Bostanci M, Ozdel O, Oguzhanoglu NK, Ozdel L, Ergin A, Ergin N, Atesci F, Karadag F: Depressive symptomatology among university students in Denizli, Turkey: prevalence and sociodemographic correlates. Croat Med J. 2005, 46 (1): 96-100.PubMedGoogle Scholar
- Allgower A, Wardle J, Steptoe A: Depressive symptoms, social support, and personal health behaviors in young men and women. Health Psychol. 2001, 20 (3): 223-227. 10.1037/0278-6220.127.116.11.View ArticlePubMedGoogle Scholar
- Khawaja NG, Bryden KJ: The development and psychometric investigation of the university student depression inventory. J Affect Disord. 2006, 96 (1-2): 21-29. 10.1016/j.jad.2006.05.007.View ArticlePubMedGoogle Scholar
- Adewuya AO, Ola BA, Aloba OO, Mapayi BM, Oginni OO: Depression amongst Nigerian university students : Prevalence and sociodemographic correlates. Soc Psychiatry Psychiatr Epidemiol. 2006, 41 (8): 674-678. 10.1007/s00127-006-0068-9.View ArticlePubMedGoogle Scholar
- Apfel JL: Depresison and Its Treatments: A College Sample. Journal of College Student Psychotherapy. 2004, 18 (2): 67-81. 10.1300/J035v18n02_06.View ArticleGoogle Scholar
- Wardle J, Steptoe A, Gulis G, Sartory G, Sek H, Todorova I, Vogele C, Ziarko M: Depression, perceived control, and life satisfaction in university students from Central-Eastern and Western Europe. Int J Behav Med. 2004, 11 (1): 27-36. 10.1207/s15327558ijbm1101_4.View ArticlePubMedGoogle Scholar
- Dyrbye LN, Thomas MR, Shanafelt TD: Systematic review of depression, anxiety, and other indicators of psychological distress among U.S. and Canadian medical students. Acad Med. 2006, 81 (4): 354-373. 10.1097/00001888-200604000-00009.View ArticlePubMedGoogle Scholar
- Hahne R: Studium und psychische Probleme. 1999, Berlin , Deutsches StudentenwerkGoogle Scholar
- Dyson R, Renk K: Freshmen adaptation to university life: depressive symptoms, stress, and coping. J Clin Psychol. 2006, 62 (10): 1231-1244. 10.1002/jclp.20295.View ArticlePubMedGoogle Scholar
- Dressler WW: Stress and adaptation in the context of culture: Depression in a southern black community. 1991, Albany, NY , State University of New York PressGoogle Scholar
- Garber J: Depression in children and adolescents: linking risk research and prevention. Am J Prev Med. 2006, 31 (6 Suppl 1): S104-25. 10.1016/j.amepre.2006.07.007.View ArticlePubMedGoogle Scholar
- El Ansari W, Maxwell AE, Mikolajczyk RT, Stock C, Naydenova V, Kraemer A: Promoting Public Health: Benefits and Challenges of a Europeanwide Research Consortium on Student Health. Cent Eur J Public Health. 2007, 15 (1): 58-65.PubMedGoogle Scholar
- Schmitt M, Beckmann M, Dusi D, Maes J, Schiller A, Schonauer K: Messgüte des vereinfachten Beck-Depressions-Inventars (BDI-V). Diagnostica. 2003, 49 (4): 147-156. 10.1026//0012-1918.104.22.168.View ArticleGoogle Scholar
- Schmitt M, Maes J: Vorschlag zur Vereinfachung des Beck-Depressions-Inventars (BDI). Diagnostica. 2000, 46 (1): 38-46. 10.1026//0012-1922.214.171.124.View ArticleGoogle Scholar
- Beck AT, Ward CH, Mendelson M, Mock J, Erbaugh J: An inventory for measuring depression. Arch Gen Psychiatry. 1961, 4: 561-571.View ArticlePubMedGoogle Scholar
- Whisman MA, Perez JE, Ramel W: Factor structure of the Beck Depression Inventory-Second Edition (BDI-II) in a student sample. J Clin Psychol. 2000, 56 (4): 545-551. 10.1002/(SICI)1097-4679(200004)56:4<545::AID-JCLP7>3.0.CO;2-U.View ArticlePubMedGoogle Scholar
- Schmitt M, Altstöter-Gleich C, Hinz A, Maes J, Brähler E: Normwerte für das Vereinfachte Beck-Depressions-Inventar (BDI-V) in der Allgemeinbevölkerung. Diagnostica. 2006, 52 (2): 51-59. 10.1026/0012-19126.96.36.199.View ArticleGoogle Scholar
- Cohen S, Kamarck T, Mermelstein R: A global measure of perceived stress. J Health Soc Behav. 1983, 24 (4): 385-10.2307/2136404.View ArticlePubMedGoogle Scholar
- Cohen S, Williamson GM: Perceived stress on a probability sample of the United States. The social psychology of health. Edited by: Spacapan S, Oskamp S. 1988, Newbury Park, CA , SAGE, 30-67.Google Scholar
- Cohen S, Doyle WJ, Turner R, Alper CM, Skoner DP: Sociability and susceptibility to the common cold. Psychol Sci. 2003, 14 (5): 389-395. 10.1111/1467-9280.01452.View ArticlePubMedGoogle Scholar
- Burnand B, Kernan WN, Feinstein AR: Indexes and boundaries for "quantitative significance" in statistical decisions. J Clin Epidemiol. 1990, 43 (12): 1273-1284. 10.1016/0895-4356(90)90093-5.View ArticlePubMedGoogle Scholar
- Breaugh JA: Effect size estimation: Factors to consider and mistakes to avoid. Journal of Management. 2003, 29: 79-97. 10.1177/014920630302900106.View ArticleGoogle Scholar
- Pierce CA, Block RA, Aguinis H: Cautionary note on reporting eta-squared values from multifactor anova design. Educational and Psychological Measurement. 2004, 64 (6): 916-924. 10.1177/0013164404264848.View ArticleGoogle Scholar
- Mikolajczyk R, Naydenova V, Ilieva S, Dudziak U: Perceived stress in eastern European students. Psychology and Health. 2006, 21 (Supp. 1): 104-105.Google Scholar
- Steptoe A, Wardle J: Health behaviour, risk awareness and emotional well-being in students from Eastern Europe and Western Europe. Soc Sci Med. 2001, 53 (12): 1621-1630. 10.1016/S0277-9536(00)00446-9.View ArticlePubMedGoogle Scholar
- Lee DH, Kang S, Zum S: A qualitative assessment of personal and academic stressors among Korean Collage students: an exploratory study. College Student Journal. 2005, 39 (3): 442-Google Scholar
- Murphy MC, Archer J: Stressors on the college campus: A comparison of 1985-1993. Journal of College Student Development. 1996, 37 (1): 20-28.Google Scholar
- Bazner E, Bromer P, Hammelstein P, Meyer TD: Current and former depression and their relationship to the effects of social comparison processes. Results of an internet based study. J Affect Disord. 2006, 93 (1-3): 97-103. 10.1016/j.jad.2006.02.017.View ArticlePubMedGoogle Scholar
- Wade TJ, Cairney J, Pevalin DJ: Emergence of gender differences in depression during adolescence: national panel results from three countries. J Am Acad Child Adolesc Psychiatry. 2002, 41 (2): 190-198. 10.1097/00004583-200202000-00013.View ArticlePubMedGoogle Scholar
- Hankin BL, Abramson LY, Moffitt TE, Silva PA, McGee R, Angell KE: Development of depression from preadolescence to young adulthood: emerging gender differences in a 10-year longitudinal study. J Abnorm Psychol. 1998, 107 (1): 128-140. 10.1037/0021-843X.107.1.128.View ArticlePubMedGoogle Scholar
- Schraedley PK, Gotlib IH, Hayward C: Gender differences in correlates of depressive symptoms in adolescents. J Adolesc Health. 1999, 25 (2): 98-108. 10.1016/S1054-139X(99)00038-5.View ArticlePubMedGoogle Scholar
- Avison WR, McAlpine DD: Gender differences in symptoms of depression among adolescents. J Health Soc Behav. 1992, 33 (2): 77-96. 10.2307/2137248.View ArticlePubMedGoogle Scholar
- Oxman TE, Berkman LF, Kasl S, Freeman DH, Barrett J: Social support and depressive symptoms in the elderly. Am J Epidemiol. 1992, 135 (4): 356-368.PubMedGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.