Mini Review ARTICLE
Predictors of Stress in College Students
- 1EA4430 CLIPSYD, UFR SPSE, Paris Nanterre University, Nanterre, France
- 2Counseling Psychology, Tishreen University, Latakia, Syria
University students often face different stressful situations and preoccupations: the first contact with the university, the freedom of schedule organization, the selection of their master's degree, very selective fields, etc. The purpose of this study is to evaluate a model of vulnerability to stress in French college students. Stress factors were evaluated by a battery of six scales that was accessible online during 3 months. A total of 483 students, aged between 18 and 24 years (Mean = 20.23, standard deviation = 1.99), was included in the study. The results showed that 72.9, 86.3, and 79.3% of them were suffering from psychological distress, anxiety and depressive symptoms, respectively. More than half the sample was also suffering from low self-esteem (57.6%), little optimism (56.7%), and a low sense of self-efficacy (62.7%). Regression analyses revealed that life satisfaction, self-esteem, optimism, self-efficacy and psychological distress were the most important predictors of stress. These findings allow us to better understand stress-vulnerability factors in students and drive us to substantially consider them in prevention programs.
According to health surveys, young people from 12 to 25 years old suffer from an insufficient level of psychological health (Grebot and Barumandzadeh, 2005; Windfuhr et al., 2008; Thapar et al., 2012). Some studies also show that, compared to individuals of the same age (Roberts et al., 1999; Adlaf et al., 2005; Boujut et al., 2009) and, in general, to any other population (Nerdrum et al., 2006; Blanco et al., 2008; Walsh et al., 2010; Moreira and Telzer, 2015), students have more psychological problems.
Students' psychological discomfort is reflected in several ways including depression, anxiety, stress, and sleeping disorders (Lejoyeux et al., 2011; Schraml et al., 2011; Boulard et al., 2012; Nyer et al., 2013; Petrov et al., 2014; Feld and Shusterman, 2015; Milojevich and Lukowski, 2016). This discomfort has been the subject of many investigations. In fact, depression is common in students from 15 to 24 years olds (Lafay et al., 2003). According to a French study (Boujut et al., 2009), 27, 18, and 3% of college students suffer from mild, moderate and severe depression, respectively. Anxiety (Neveu et al., 2010) and feeling overwhelmed are actually quite typical of college students, including those who succeed (Lassarre et al., 2003). More than 83% of students from the University of Lodz suffer from fatigue (Maniecka-Bryła et al., 2005). In addition, according to two French studies, 15% of students had suicidal thoughts (Lafay et al., 2003) while 3% had a suicidal tendency (Boujut et al., 2009). It seems that suicidal thoughts are more prevalent, during the past 12 months, in students than other young people (Grémy et al., 2002). Furthermore, another study found that 60% of first-year students of a business school (Ecole Supérieure de Commerce) had significant levels of psychological distress and low self-esteem (Strenna et al., 2009). Their coping strategies were principally based on withdrawal (Strenna et al., 2009). Humphris et al. (2002) found that more than 30% of European dental students reported significant psychological distress and 22% reported a high level of emotional exhaustion.
These mental health issues among students are of growing concern (Castillo and Schwartz, 2013; Milojevich and Lukowski, 2016). It should be noted that in most cases, men report being less anxious and depressed (Castillo and Schwartz, 2013) and having less suicidal thoughts than women (Dusser et al., 2009).
This poor psychological well-being is sometimes associated with physical disorders (Graziani et al., 2001). It could also be associated with the broader concept of “stress,” that involves all aspects of life's difficulties, including psychological discomfort. Each student deals with the same stress differently (Boujut, 2007). A French study showed that 79% of students reported being stressed (Vandentorren et al., 2005).
On the other hand, other studies focused on the factors that were linked to these issues in students and found that neuroticism, which is the general tendency to experience unpleasant or negative emotions, could be a stress predictor in students (Vollrath, 2000). Nonetheless, low self-esteem was found to be the strongest predictor of stress symptoms (Han, 2005). Strenna et al. (2009) found a link between low self-esteem and anxiety and depression in students.
Little research is currently being conducted on the psychological health of college French students (Boujut, 2007; Strenna et al., 2009). Ongoing research has mainly been carried out as part of students' health insurance surveys (Boujut et al., 2009). The main purpose of this study is to determine the role of some factors (gender, age, year of studies, formation and research units (UFR), self-esteem, optimism, self-efficacy and psychological distress, including somatic symptoms, anxiety, insomnia, social dysfunction and severe depression) linked to the presence of perceived stress in students, after evaluating different aspects of mental health in college students. This could help to better evaluate and understand the psychological malaise of French college students.
Data Collection Procedure
Online data collection was conducted between February and May 2014, using a battery of questionnaires posted on Googles docs. Information regarding this survey was distributed to all registered students at the University Paris Ouest Nanterre La Defense and other universities in the Parisian area.
The study protocol was approved by the ethics committee of the Psychological Science and Learning Science department at the University of Paris Ouest Nanterre La Défense, UFR SPE (Department of Psychology and Education) and by the CNIL (Commission nationale de l'informatique et des libertés). In accordance with the Helsinki declaration, written informed consent was obtained from each student before inclusion.
Out of 630 replies, 147 were incomplete and/or useless. Thus, the final sample consisted of 483 college students (355 women, 128 men), aged between 18 and 24 years (M: 20.23; SD: 1.99) from the Parisian area (11.6% were not registered at the University Paris Ouest Nanterre La Defense).
The questionnaire of the study was divided in two parts. In the first part, students were asked to give socio-demographic data concerning their gender, age, place of residence, current year of studies, study program and university of origin. They also had to report, using a visual analog scale, whether they were satisfied with the discipline they chose at university and whether they had ever repeated an academic year. The second part included six questionnaires:
Self-esteem was measured using the 10-item version of the Rosenberg Self-Esteem Scale (RSES), developed by Rosenberg (1965) and translated and validated in French by Vallieres and his team. All items were answered using a 4-point Likert scale format ranging from strongly agree to strongly disagree (Vallieres and Vallerand, 1990). A score lower than 30 indicates a low self-esteem (Chabrol et al., 2004). Cronbach's alpha coefficient in this study was: (0.86).
Perceived self-efficacy was evaluated using the General Self-Efficacy Scale (GSE), developed by Matthias Jerusalmen and Ralf Schwarse (Luszczynska et al., 2005). It was translated in French and validated by Dumont and his team and consisted of 10 items that are answered using a 4-point Likert scale ranging from “not at all true” to “exactly true” (Dumont et al., 2000). Cronbach's alpha coefficient in this study was: (0.84).
Optimism was assessed using the 10-item revised version of the Life Orientation Test (LOT-R) developed by Scheier and Carver (Trottier et al., 2008). It was translated in French and validated by Sultan and Bureau (Shankland and Martin-Krumm, 2012). A higher score indicates higher optimism. Cronbach's alpha coefficient in this study was: (0.83).
Student's well-being was measured using the Satisfaction With Life Scale (SWLS) developed by Diener et al. (1985); Diener (2006). It was translated in French and validated by Blais and his team and consisted of five items that are answered on a scale from 7 (strongly agree) to 1 (strongly disagree) (Blais et al., 1989). A higher indicates a higher satisfaction. Cronbach's alpha coefficient in this study was: (0.82).
Perceived stress was assessed using the 10-item Perceived Stress Scale (PSS-10). It was developed by Cohen et al. (1983) and translated and validated in French by Bellinghausen et al. (2009). Each item is rated on a 5 points scale from “1” (never) to “5” (very often). It includes two factors: perceived helplessness and perceived self-efficacy (Bellinghausen et al., 2009), and two scores thresholds: a score superior to 24 for anxiety and to 26 for depression (Collange et al., 2013). In this study Cronbach's alpha coefficient in this study was: (0.82).
Psychological distress was evaluated using the 28-item General Health Questionnaire (GHQ-28) scale. This measure was initially described by Goldberg in 1972 (Goldberg and Hillier, 1979) then translated and validated in French by Bolognini et al. (1989). It is divided into 4 subscales which measure somatic symptoms, anxiety/insomnia, social dysfunction and severe depression (Goldberg and Hillier, 1979), each consisting of 7 items that are answered using a 4-point Likert scale (Bolognini et al., 1989). A score greater than or equal to 5 indicates psychological distress (Guelfi, 1993). Cronbach's alpha coefficient in this study was: (0.84).
Statistical analyses were performed using the software Statistica (version 12). First, descriptive analyses (such as percentages, means and standard deviations) were produced. Then, bivariate analyses (Mann–Whitney U-test, Spearman's correlation) were performed in order to investigate the possible links between all variables of interests (gender, age, year of studies, UFRclassification at the University of Paris Ouest Nanterre, self-esteem, optimism, generalized self-efficacy and psychological distress (somatic symptoms, anxiety/insomnia, social dysfunction, severe depression). Finally, multivariate analyses (multiple regressions) were run to test the link between perceived stress as the dependent variable and including, as predictors, the year of studies, the academic sector, self-esteem, optimism, the sense of self-efficacy and psychological distress. The significance limit was set at p < 0.05.
General Characteristics of the Sample (Table 1)
The final sample consisted of 483 students from the Parisian area (88.41% from the University of Nanterre), of whom the majority were women (73.5%). The average age was 20.23 years (±1.99). Most students lived with their parents (68.7%), did not have kids (88.4%) and reported being somewhat satisfied with their studies (38.5%). This sample included students from all years of studies (first year of license to PhD) and from different academic sectors. The majority of students did not repeat any academic year (77.6%).
Results of the Questionnaires Used (Table 2)
Low self-esteem was reported by 57.6% of students while 25% of them were slightly satisfied by their well-being and 56.7% had little optimism. The majority of them also reported having a low sense of self-efficacy (62.7%), anxiety (86.3%) and depression (79.3%). Finally, according to their GHQ-28 scores, 72.9% of students declared suffering from psychological distress.
Results of Gender Differences (Table 3)
Results showed that men had a higher sense of self-efficacy than women. The latter had significantly higher scores on perceived stress and both its factors (perceived helplessness and perceived self-efficacy) and presented more psychological distress, including more somatic symptoms and anxiety/insomnia.
Results of the Links between Stress and Studied Factors (Table 4)
When simultaneously taking into account all studied factors (gender, age, year of studies, UFR classification at the University of Paris Ouest Nanterre, self-esteem, optimism, generalized self-efficacy and psychological distress (somatic symptoms, anxiety/insomnia, social dysfunction, severe depression), we found a significant link between stress and most of these factors. In fact, on the one hand, there was a negative correlation between perceived stress and factors that could be considered as “positive” ones such as self-esteem, optimism and sense of self-efficacy. On the other hand, there was a positive correlation between perceived stress and factors that could be considered as “negative” ones such as psychological distress and its four factors on the GHQ-28 scale including somatic symptoms, anxiety and insomnia, social dysfunction and severe depression.
Results showed a significant link between gender and scores on the perceived stress scale, specifically in women who were more stressed on most of the evaluated factors. Analyses did not show any association between perceived stress score (and its factors) and age, year of studies or UFR classification.
Additional studies on perceived helplessness and perceived self-efficacy, two subscales of the PSS-10 scale, showed similar results concerning the negative and positive associations found with perceived stress.
Results of Linear Multiple Regression Analyses (Table 5)
A linear multiple regression analysis was performed using perceived stress as the dependent variable and including as predictors the year of studies, the academic sector, self-esteem, optimism, the sense of self-efficacy and psychological distress. The total variance accounted for by the model was 57% [F(7, 475) = 93.269; p < 0.0001]. Life satisfaction (Beta = −0.11; p = 0.002), self-esteem (Beta = −0.20; p = 0.000002), optimism (beta = −0.12; p = 0.002), self-efficacy (beta = −0.19; p = 0.00) and psychological distress (beta = 0.38; p = 0.00) independently and significantly predicted perceived stress. Furthermore, among those variables, self-esteem, optimism and self-efficacy negatively predicted perceived stress and were considered to be “positive” variables while psychological distress positively predicted perceived stress and was considered to be a “negative” variable.
Table 5. Results of linear multiple regression analyses using the PSS-10 score as the dependent variable.
Prevalence of Stress and Psychological Difficulties Evaluated in Our French College Students Sample
In line with several previous research stating the importance of psychological problems among college students (Lafay et al., 2003; Lassarre et al., 2003; Boujut et al., 2009; Strenna et al., 2009), our results show that the students included in our sample (N = 483) have high levels of anxiety (86.3%), depression (79.3%), psychological distress (72.9%) and have a low self-esteem (57.6%). The level of stress in our sample is slightly higher than the ones found in the literature(Vandentorren et al., 2005; Strenna et al., 2009; Dachew et al., 2015; Deasy et al., 2015; Larcombe et al., 2016; Weier and Lee, 2016).
Overall, the psychological difficulties were significantly higher in women than men when it came to perceived stress, perceived helplessness, perceived self-efficacy, global psychological distress, somatic symptoms, anxiety and insomnia. They also have a lower sense of self-efficacy than men. However, we did not find significant differences between women and men concerning self-esteem, life satisfaction, and optimism.
On the one hand, these results are in accordance with many previous research performed in different countries (Backović et al., 2012; Cruz et al., 2013; Shamsuddin et al., 2013) that show that levels of stress and psychological distress are higher in female than male college students (Spitz et al., 2007; Backović et al., 2012; Deasy et al., 2015). On the other hand, our results concerning associations between gender and the sense of self-efficacy are in opposition to other literature data (Follenfant and Meyer, 2003; Ayle and Nagels, 2014). This was also the case for our results concerning the links between gender and self-esteem (Dozot et al., 2009).
Link between Stress and Gender, and Stress and Age, in Students
When it comes to the link between stress and gender, our results confirm the significant link previously find in other studies. Female students are usually found to be more stressed than male students (Fornés–Vives et al., 2012; Cruz et al., 2013; Shamsuddin et al., 2013). However, Koochaki et al. (2011) did not find any significant differences according to gender and oppositely, two studies found that male students reported higher stress levels than females (Acharya, 2003; Ahern and Norris, 2011).
When it comes to the link between stress and age, we did not find any associations between these two variables, independently of the studied stress factor. This result is in line with some studies (Koochaki et al., 2011) while others show a negative association between perceived stress and age (Fornés–Vives et al., 2012; Voltmer et al., 2012).
Both the year of studies and the academic sector did not have a significant impact on perceived stress in the regression analyses. Nonetheless, and unlike other protective factors (i.e., life satisfaction, self-esteem, optimism and generalized self-efficacy) that negatively predicted perceived stress, we found that psychological distress significantly contributed the most to the variance of perceived stress. The total variance of perceived stress accounted for by the model including all studied factors was 57%. These factors could be considered stress vulnerability factors among students.
Interestingly, previous research found significant associations between perceived stress and: (1) psychological distress (La Rosa et al., 2000; Strenna et al., 2009); (2) self-esteem (Boujut, 2007) optimism (Mazé and Verlhiac, 2013) self-efficacy (Han, 2005). In fact, according to the literature, the most important predictor of stress symptoms in university students was the sense of self-efficacy (Han, 2005). Nevertheless, we found that self-esteem (beta = −0.20; p = 0.000002) and self-efficacy (beta = −0.19; p = 0.00) negatively predicted it. Regression analysis also showed that psychological distress (beta = 0.38; p = 0.00) was the most powerful positive predictor of stress symptoms.
Potential Shortcomings and Limitations
This research has a number of limitations. It is limited by a small sample size, which reduced statistical power. Participants mainly consisted of women and were principally recruited from the university of Paris Nanterre La Defense (that only has human sciences' department), which is not representative of all students in the Ile de France region. In addition, our sample was recruited via the internet and this could have limited the participation of more students. Our study also lacked an adequate control group. We used non-randomized sampling. The assessment was solely based on self-reported questionnaires and their results were not validated by a semi-structured interview.
Additionally, the cross-sectional design of our study investigates associations rather than causality. Thus, future research needs to replicate these findings using a longitudinal design to compare students' states at the start vs. the end of their university year.
Most university students included in this study displayed high levels of perceived stress and psychological distress and low levels of self-esteem, optimism and self-efficacy. The multivariate model included in our research helped us identify the most important stress-vulnerability factors that should be taken into consideration when identifying stress among students and when establishing prevention and intervention programs.
In fact, these findings suggest that focusing on the sense of self-efficacy and self-esteem could be essential in intervention programs for students.
Future research could benefit from including more homogeneous samples regarding gender and from recruiting students from a larger variety of academic sectors (medicine, physics, etc.).
DS: Conception or design of the work, data collection, data analysis and interpretation, drafting the article, final approval of the version to be published. NC: Conception or design of the work, data collection, critical revision of the article, final approval of the version to be published. LR: Conception or design of the work data analysis and interpretation critical revision of the article, final approval of the version to be published.
Conflict of Interest Statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Adlaf, E. M., Demers, A., and Gliksman, L. (2005). Enquête Sur Les Campus Canadiens 2004. Toronto: Centre de toxicomanie et de santé mentale. Available online at: https://www.camh.ca/en/research/research_areas/social-epi-research/Documents/CCS_2004_report_french.pdf
Ayle, G. K., and Nagels, M. (2014). “Analyse de l'activité et développement de l'auto-efficacité,” in Troisième Colloque International de Didactique Professionnelle. Conception et Formation (Caen). Available online at: https://hal.archives-ouvertes.fr/hal-01146732/
Backović, D. V., Zivojinović, J. I., Maksimović, J., and Maksimović, M. (2012). Gender differences in academic stress and burnout among medical students in final years of education. Psychiatr. Danub. 24, 175–181.
Blais, M. R., Vallerand, R. J., Pelletier, L. G., and Brière, N. M. (1989). L'échelle de satisfaction de vie: validation canadienne-française du “Satisfaction with Life Scale.” Can. J. Behav. Sci. 21, 210–223. doi: 10.1037/h0079854
Blanco, C., Okuda, M., Wright, C., Hasin, D. S., Grant, B. F., Liu, S.-M., et al. (2008). Mental health of college students and their non-college-attending peers: results from the National Epidemiologic Study on Alcohol and Related Conditions. Arch. Gen. Psychiatry 65, 1429–1437. doi: 10.1001/archpsyc.65.12.1429
Bolognini, M., Bettschart, W., Zehnder-Gubler, M., and Rossier, L. (1989). The validity of the French version of the GHQ-28 and PSYDIS in a community sample of 20 year olds in Switzerland. Eur. Arch. Psychiatry Neurol. Sci. 238, 161–168. doi: 10.1007/BF00451005
Boujut, E. (2007). Facteurs Prédisant le Développement de Symptômes Dépressifs, de Symptômes Organiques, de Troubles des Conduites Alimentaires et de l'échec Académique chez des Etudiants de Première Année : Une Etude Prospective en Psychologie de la Santé. dissertation/master's thesis, University of Bordeaux 2. Available online at: http://www.sudoc.fr/123184207
Boujut, E., Koleck, M., Bruchon-Schweitzer, M., and Bourgeois, M. L. (2009). Mental health among students: a study among a cohort of freshmen. Ann. Médico Psychol. 167, 662–668. doi: 10.1016/j.amp.2008.05.020
Boulard, A., Quertemont, E., Gauthier, J.-M., and Born, M. (2012). Social context in school: its relation to adolescents' depressive mood. J. Adolesc. 35, 143–152. doi: 10.1016/j.adolescence.2011.04.002
Chabrol, H., Carlin, E., Michaud, C., Rey, A., Cassan, D., Juillot, M., et al. (2004). Étude[[Mathtype-image]] de l'échelle d'estime de soi de Rosenberg dans un échantillon de lycéens. Neuropsychiatrie l'Enfance et de l'Adolescence 52, 533–536. doi: 10.1016/j.neurenf.2004.09.007
Collange, J., Bellinghausen, L., Chappé, J., Saunder, L., and Albert, E. (2013). Stress perçu : à partir de quel seuil devient-il un facteur de risque pour les troubles anxiodépressifs ? Arch. Maladies Professionnelles et de l'Environ. 74, 7–15. doi: 10.1016/j.admp.2012.12.009
Cruz, S. Y., Fabián, C., Pagán, I., Ríos, J. L., González, A. M., Betancourt, J., et al. (2013). Physical activity and its associations with sociodemographic characteristics, dietary patterns, and perceived academic stress in students attending college in Puerto Rico. PR Health Sci. J. 32, 44–50.
Dachew, B. A., Bisetegn, T. A., and Gebremariam, R. B. (2015). Prevalence of mental distress and associated factors among undergraduate students of University of Gondar, Northwest Ethiopia: a cross-sectional institutional based study. PLoS ONE 10:e0119464. doi: 10.1371/journal.pone.0119464
Deasy, C., Coughlan, B., Pironom, J., Jourdan, D., and McNamara, P. M. (2015). Psychological distress and lifestyle of students: implications for health promotion. Health Promot. Int. 30, 77–87. doi: 10.1093/heapro/dau086
Diener, E. (2006). Understanding Scores on the Satisfaction with Life Scale. Retrieved from: https://internal.psychology.illinois.edu/~ediener/Documents/Understanding%20SWLS%20Scores.pdf
Dozot, C., Piret, A., and Romainville, M. (2009). L'estime de soi des étudiants de première année du supérieur en abandon d'études. L'orientation Scolaire et Professionnelle 38, 205–230. doi: 10.4000/osp.1910
Dumont, M., Schwarzer, R., and Jerusalem, M. (2000). French Adaptation of the General Self-Efficacy Scale. Available online at: http://userpage.fu-berlin.de/~health/french.htm
Dusser, I., Romo, L., and Leboyer, M. (2009). Construction and evaluation of a stress management group for patients with bipolar disorder. J. Thér. Comport. Cogn. 19, 56–60. doi: 10.1016/j.jtcc.2009.08.002
Follenfant, A., and Meyer, T. (2003). “Pratiques déclarées, sentiment d'avoir appris et auto-efficacité au travail. Résultats de l'enquête quantitative par questionnaires,” in Les Apprentissages Professionnels Informels, eds P. Carré and O. Charbonnier (Paris: L'Harmattan), 185–243.
Fornés–Vives, J., García–Banda, G., Frías–Navarro, D., Hermoso–Rodríguez, E., and Santos–Abaunza, P. (2012). Stress and neuroticism in Spanish nursing students: a two–wave longitudinal study. Res. Nurs. Health 35, 589–597. doi: 10.1002/nur.21506
Grebot, E., and Barumandzadeh, T. (2005). L'accès à l'Université: une situation stressante à l'origine de certaines stratégies d'ajustement dysfonctionnelles. Ann. Méd. Psychol. 163, 561–567. doi: 10.1016/j.amp.2004.07.015
Grémy, I., Embersin, C., Brouard, C., and Daydou, E. (2002). Santé et Recours Aux Soins des Etudiants Affiliés à la SMEREP. adsp 10–13. Available online at: http://www.hcsp.fr/Explore.cgi/Telecharger?NomFichier=ad411013.pdf
Humphris, G., Blinkhorn, A., Freeman, R., Gorter, R., Hoad-Reddick, G., Murtomaa, H., et al. (2002). Psychological stress in undergraduate dental students: baseline results from seven European dental schools. Eur. J. Dental Educ. 6, 22–29. doi: 10.1034/j.1600-0579.2002.060105.x
Koochaki, G. M., Charkazi, A., Hasanzadeh, A., Saedani, M., Qorbani, M., and Marjani, A. (2011). Prevalence of stress among Iranian medical students: a questionnaire survey. East. Mediterr. Health J. 17, 593–598.
Lafay, N., Manzanera, C., Papet, N., Marcelli, D., and Senon, J. (2003). Les états dépressifs de la post-adolescence. Résultats d'une enquête menée chez 1521 étudiants de l'université de Poitiers. Ann. Med. Psychol. 161, 147–151. doi: 10.1016/s0003-4487(03)00021-0
Larcombe, W., Finch, S., Sore, R., Murray, C. M., Kentish, S., Mulder, R. A., et al. (2016). Prevalence and socio-demographic correlates of psychological distress among students at an Australian university. Stud. Higher Educ. 41, 1074–1091. doi: 10.1080/03075079.2014.966072
La Rosa, E., Consoli, S. M., Le Clésiau, H., Birouste, J., Joubert, M., and Soufi, K. (2000). Psychosocial distress and its moderating factors in patients living in precarious socioeconomic conditions consulting in a preventive health center. Revue D'épidémiologie et de Santé Publique 48, 351–362.
Lassarre, D., Giron, C., and Paty, B. (2003). Stress des étudiants et réussite universitaire : les conditions économiques, pédagogiques et psychologiques du succès. L' Orientation Scolaire et Professionnelle 32, 669–691. doi: 10.4000/osp.2642
Lejoyeux, M., Richoux-Benhaim, C., Löhnardt, H., and Lequen, V. (2011). Money attitude, self-esteem, and compulsive buying in a population of medical students. Addict. Disord. 2, 13. doi: 10.3389/fpsyt.2011.00013
Maniecka-Bryła, I., Bryła, M., Weinkauf, A., and Dierks, M.-L. (2005). The international comparative study of the health status of medical university students in Lodz and Hanover. Prz. Lek. 62, 63–68.
Mazé, C., and Verlhiac, J.-F. (2013). Stress and coping strategies of first-year students: Distinctive roles of transactional and dispositional factors. Psychol. Française 58 89–105. doi: 10.1016/j.psfr.2012.11.001
Nerdrum, P., Rustøen, T., and Rønnestad, M. H. (2006). Student psychological distress: a psychometric study of 1750 Norwegian 1st–year undergraduate students. Scand. J. Educ. Res. 50, 95–109. doi: 10.1080/00313830500372075
Neveu, D., Boiché, J., Conejero, I., Doron, J., Dujols, P., Maury, M., et al. (2010). Etude sur le stress des étudiants de troisième année de Licence en médecine, odontologie, psychologie et STAPS Promotions 2009–2010. doi: 10.1016/j.respe.2012.01.008
Nyer, M., Farabaugh, A., Fehling, K., Soskin, D., Holt, D., Papakostas, G. I., et al. (2013). Relationship between sleep disturbance and depression, anxiety, and functioning in college students. Depress. Anxiety 30, 873–880. doi: 10.1002/da.22064
Petrov, M. E., Lichstein, K. L., and Baldwin, C. M. (2014). Prevalence of sleep disorders by sex and ethnicity among older adolescents and emerging adults: relations to daytime functioning, working memory and mental health. J. Adolesc. 37, 587–597. doi: 10.1016/j.adolescence.2014.04.007
Roberts, R., Golding, J., Towell, T., and Weinreb, I. (1999). The effects of economic circumstances on British students' mental and physical health. J. Amer. College Health 48, 103–109. doi: 10.1080/07448489909595681
Schraml, K., Perski, A., Grossi, G., and Simonsson-Sarnecki, M. (2011). Stress symptoms among adolescents: the role of subjective psychosocial conditions, lifestyle, and self-esteem. J. Adolesc. 34, 987–996. doi: 10.1016/j.adolescence.2010.11.010
Shamsuddin, K., Fadzil, F., Ismail, W. S. W., Shah, S. A., Omar, K., Muhammad, N. A., et al. (2013). Correlates of depression, anxiety and stress among Malaysian University students. Asian J. Psychiatr. 6, 318–323. doi: 10.1016/j.ajp.2013.01.014
Spitz, É., Costantini, M.-L., and Baumann, M. (2007). Détresse psychologique et stratégies de coping des étudiants en première année universitaire. Revue Francophone du Stress et du Trauma 7, 217–225.
Strenna, L., Chahraoui, K., and Vinay, A. (2009). Santé psychique chez les étudiants de première année d'école supérieure de commerce: liens avec le stress de l'orientation professionnelle, l'estime de soi et le coping. L'orientation Scolaire et Professionnelle 38/2, 183–204. doi: 10.4000/osp.1902
Trottier, C., Mageau, G., Trudel, P., and Halliwell, W. R. (2008). Validation de la version canadienne-française du Life Orientation Test-Revised [Validation of the Canadian-French version of Life-Orientation-Test-Revised]. Can. J. Behav. Sci. 40, 238–243. doi: 10.1037/a0013244
Vandentorren, S., Verret, C., Vignonde, M., and Maurice-Tison, S. (2005). Besoins d'information en santé des étudiants au service inter-universitaire de médecine préventive de Bordeaux. Santé Publique 17, 47–56. doi: 10.3917/spub.051.0047
Voltmer, E., Kötter, T., and Spahn, C. (2012). Perceived medical school stress and the development of behavior and experience patterns in German medical students. Med. Teach. 34, 840–847. doi: 10.3109/0142159X.2012.706339
Walsh, J. M., Feeney, C., Hussey, J., and Donnellan, C. (2010). Sources of stress and psychological morbidity among undergraduate physiotherapy students. Physiotherapy 96, 206–212. doi: 10.1016/j.physio.2010.01.005
Weier, M., and Lee, C. (2016). Stagnant or successful, carefree or anxious? Australian university students' goals and beliefs about adulthood and their current well-being. Aust. Psychol. 51, 422–430. doi: 10.1111/ap.12169
Windfuhr, K., While, D., Hunt, I., Turnbull, P., Lowe, R., Burns, J., et al. (2008). the national confidential inquiry into suicide and homicide by people with mental illness. Suicide in juveniles and adolescents in the United Kingdom. J. Child Psychol. Psychiatry 49, 1155–1165. doi: 10.1111/j.1469-7610.2008.01938.x
Keywords: college students, perceived stress, optimism, self-efficacy, psychological distress, self-esteem
Citation: Saleh D, Camart N and Romo L (2017) Predictors of Stress in College Students. Front. Psychol. 8:19. doi: 10.3389/fpsyg.2017.00019
Received: 24 July 2016; Accepted: 04 January 2017;
Published: 25 January 2017.
Edited by:Alexander V. Libin, Veteran Affairs and Georgetown University, USA
Reviewed by:Michelle Dow Keawphalouk, Harvard University and Massachusetts Institute of Technology (MIT), USA
Mohammad Khodayarifard, University of Tehran, Iran
Copyright © 2017 Saleh, Camart and Romo. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Dalia Saleh, firstname.lastname@example.org