Open Access

Social support moderates stress effects on depression

Contributed equally
International Journal of Mental Health Systems20148:41

https://doi.org/10.1186/1752-4458-8-41

Received: 12 September 2014

Accepted: 24 October 2014

Published: 13 November 2014

Abstract

This study examined the moderator effect of social support on the relationship between stress and depression of university students. A total of 632 undergraduate students completed the measures of perceived stress, perceived social support, and depression. Hierarchical regression analysis showed that social support moderated the association between stress and depression. Undergraduate students with high stress reported higher scores in depression than those with low stress with low social support level. However, the impact of stress on depression was much smaller in the high social support group compared with that in the low social support group.

Keywords

Stress Social support Depression Moderating effect University students

Introduction

Studies that focus on college students’ mental health problems are gradually increasing because of significant increase in the incidence of mental disorder among college students[13]. Depression is a common mental disorder mainly characterized by significant and constant down in spirits[4]. Emotional depression varies from moodiness to grief, low self-esteem, depression, and even pessimism, which may lead to suicidal attempt or behavior[5, 6]. Previous studies have found that depressive symptoms are widespread in college students[7]. Surveys have found that the Chinese mainland college student depression rate is 15% to 35%[810].

Stress, a mental experience caused by demand and failure, is very common in our lives[5]. However, stress may further cause negative emotions, such as depression and anxiety, and may even hinder normal development of the personality and behavior of a person if not properly controlled and responded to[11]. Depression is created through interaction of various factors, including environmental and individual factors[12]. After summarizing the results obtained from nearly twenty years of research about the relationship between stress and depression, Kessler indicated that stress is closely related with depression and stress intensity and degree of depression have a dose-response relationship[13, 14]. However, not all people will have depression when under pressure. The depression degree of different individuals varies even under the same stress conditions[15, 16], indicating that other variables affect the relationship between stress and depression.

Social support is the care or help from others that an individual can feel, notice, or accept[17, 18]. As an important environmental resource in an individual’s social life, social support affects a person’s physical and mental health and behavior patterns, and has a very close relationship with the generation, development, control, and prevention of depression[1921]. A good social support can provide protection for an individual under stress and has common gaining function on maintaining an individual’s good emotional experience[22].

Existing studies on graduate student groups have focused on mutual relationship among stress, social support, and depression. We consider that the mental mechanism research on depression generation should deeply discuss the cooperation and antagonism between different factors. Based on previous studies, we assume that relationship between stress and depression is affected by social support, a moderating variable between stress and depression.

Methods

Participants and procedure

The participants included 632 undergraduate students comprising 315 women and 317 men from Chonging City, China. The ages of the participants ranged from 18 to 22 years old, with a mean of 20.47 (SD = 1.74). The participants received ¥15 as compensation. A total of 632 scales were distributed and collected; all scales were valid. All participants provided their written informed consent before completing the measures.

Instruments

Perceived stress scale

The Perceived Stress Scale is a self-report instrument that evaluates the level of perceived stress during the past month and consists of 14 items with a 5-point response scale (0 = never, 1 = almost never, 2 = once in a while, 3 = often, 4 = very often). Higher score indicates higher level of perceived stress[23]. In this study, the Cronbach alpha coefficient for Perceived stress Scale was 0.850.

Perceived social support scale (PSSS)

PSSS, developed by Zimet et al., is a 12-item self-report measure of how an individual perceives the social support system, including an individual’s sources of social support (i.e., family, friends, and significant other). Items are rated from 1 (very strongly disagree) to 7 (very strongly agree)[24]. Three subscale scores for PSSS can be computed, namely, support from family, friends, and significant other. Examples of the items from this form are as follows: “I get the emotional help and support I need from my family” and “My friends really try to help me”. PSSS was translated by Chou[25] and has been proven to have good validity and reliability for the Chinese population (e.g.,[26]). In the present study, the Cronbach alpha coefficient for PSSS was 0.848.

Self-rating depression scale (SDS)

SDS, developed by Zung[27], is a self-report measure of depression consisting of 20 items, with a four-point scale ranging from (1) a little of the time to (4) most of the time. Among the 20 items, 10 are worded positively and 10 are worded negatively. The former 10 items are reversed items. The validity and reliability of the SDS have been reported[27]. The researcher translated the 20-item version of SDS into Chinese, and this version has been proven to have good validity and reliability[28]. In the current study, the Cronbach alpha coefficient for SDS was 0.886.

Results

Bivariate analyses

The means, standard deviations, and inter correlations for each questionnaire are presented in Table 1. According to the SDS norm of Chinese college students, the total SDS score was greater than or equal to 41, which is deemed as the bound of depression[29]. About 18.7% of the participants had depression. Table 1 shows that stress is negatively correlated with social support and both stress and social support are correlated with depression.
Table 1

Means, standard deviations, and correlations of stress, social support and depression

 

Mean

SD

1

2

3

1. Stress

18.44

7.35

1

  

2. Social support

69.12

10.14

-0.53**

1

 

3. Depression

11.84

11.84

0.44**

-0.45**

1

Not: **, p < 0.01.

Test of the moderation model of social support

Hierarchical regression procedures were performed to test the moderating effect of social support on the relationship of stress and depression[30]. The social support and stress variables were standardized before testing for moderating effect to reduce problems related to multicolinearity between the interaction term and the main effects[31]. Thus, the z-scores were calculated for social support and stress. The order of entry in the hierarchical regression model was as follows. At step 1, the predictor variable (stress) was entered into the regression equation. At step 2, the moderator variable (social support) was entered into the regression equation. At step 3, the interaction of stress × social support was added. The significant change in R2 for the interaction term indicates significant moderator effect. The results of these analyses are presented in Table 2. Stress (β = 0.44, p < 0.01) significantly predicted depression in the second step. The social support factor added a significant increment to the model in step three, where social support (β = -0.30, p < 0.01) was significantly related to depression after controlling other variables. Moreover, a significant interaction between stress and social support (β = -0.10, p < 0.01) was present, as predicted. These findings suggest that social support moderated the impact of stress on depression.
Table 2

Hierarchical regression analysis predicting depression from social support and stress

 

B

SE

β

t

F

R2

R2

Step 1

       

Stress

5.16

0.43

0.44

12.16

147.89

0.189

0.189

Step 2

       

Social support

-3.59

0.48

-0.30

-7.50

56.24

0.254

0.066

Step 3

       

Stress × Social support

-0. 84

0.31

-0.10

2.84

10.49

0.265

0.011

To illustrate the stress × social support interaction for depression, we plotted the regression of depression on stress at high and low levels of social support (see Figure 1). Consistent with the procedures outlined by Kong, Zhao, and You[32], we utilized a simple slope formula for regression of stress on depression using the high (above the mean) and low (below the mean) values for social support[32]. Figure 1 shows a significantly positive relationship between stress and depression at low levels of social support (β = 0.47, p < 0.01, R2 = 0.22). The relationship between stress and depression was significant at high levels of social support (β = 0.22, p < 0.01, R2 = 0.04). The regression coefficient, however, was significantly less than that in the low social support group. Hence, the results also suggest that social support moderated the impact of stress on depression.
Figure 1

The moderating effect of social support in the relationship between stress and depression.

Structural equation modeling analysis

The SEM unconstrained approach put forward by Marsh, Wen, and Hau was used to test the moderating role of organizational identification on the relationships between organizational justice and job satisfaction[32]. Confirmatory factor analysis was used to assess whether the measurement model adequately fit the sample data. A test of the measurement model yielded satisfactory fit to the data: χ2/df = 2.16, RMSEA = 0.071, SRMR = 0.046 and CFI = 0.974. All factor loadings of the indicators of the latent variables were significant (p < 0.001), indicating that all these latent constructs were well represented by their indicators. Thus, a structural model was built (Figure 2). The final moderating model yielded satisfactory fit to the data: χ2/df = 1.61, RMSEA = 0.031, SRMR = 0.015 and CFI = 0.997.
Figure 2

The finalized structural model.

Discussion

According to the SDS norm standard of Chinese college students, the total SDS score was greater than or equal to 41 points, which is deemed as the bound of depression[29]. The detection rate of people with depression was 18.7%, demonstrating that the incidence of depression among the college students is rather high and should be given more attention[9].

The correlation analysis in this research showed that graduate students depression has a significant positive correlation with stress, indicating that stress is an important factor that affects depression generation. The same results were found in previous researches about stress and depression regarding different groups as research objects[15, 33, 34]. College students are carrying higher expectations from society, family, and individual, and are suffering from various stresses including study, occupation, marriage, and family[35, 36]. The stresses caused by negative life events may make students depressed, such as heavy burden of study, growing occupation or entrance stress, failure in love, and dispute or misunderstanding with classmates[3739].

This research found that relationship between stress and depression is affected by social support, compared with the team of high social support. A closer relationship was found between stress and depression in the low social support team. Social support plays a significant regulating effect on the relationship between stress and depression and is an important environmental resource[20, 40]. An individual’s good social support network allows him/her to gain self-esteem and self-efficacy easier, thereby resisting the generation of negative emotions such as depression[4143]. When an individual is under stress, social support makes him/her underestimate the hazards and the verities of stress by enhancing their coping capacities perceived. Social support can also provide problem solving strategies to the individual, reduce the importance of the problem, and alleviate the harmful effects of stress experience[42, 44, 45]. These effects can reduce the intensity of the relationship between stress and depression, thereby lowering the degree and generation of depression.

The results of this research suggest that the high depressive symptoms among college students should be brought to the attention of relevant departments. To prevent college student depression, relevant departments should both optimize the environment of college student study and life, try to decrease the generation of negative life events, provide adequate social support for college students, and enhance their cognitive and coping capacities to improve their mental qualities.

Notes

Declarations

Authors’ Affiliations

(1)
Anhui Provincial Committee Party School
(2)
Department of International Exchange and Cooperation, Kunming University
(3)
School of Business, Beijing Normal University
(4)
Department of Psychology, Fourth Military Medical University

References

  1. Hunt J, Eisenberg D: Mental health problems and help-seeking behavior among college students. J Adolesc Health. 2010, 46 (1): 3. 10. 10.1016/j.jadohealth.2009.08.008.View ArticlePubMedGoogle Scholar
  2. Braithwaite SR, Delevi R, Fincham FD: Romantic relationships and the physical and mental health of college students. Pers Relat. 2010, 17 (1): 1-12. 10.1111/j.1475-6811.2010.01248.x.View ArticleGoogle Scholar
  3. Moreno MA, Jelenchick LA, Egan KG, Cox E, Young H, Gannon KE, Becker T: Feeling bad on facebook: depression disclosures by college students on a social networking site. Depress Anxiety. 2011, 28 (6): 447-455. 10.1002/da.20805.PubMed CentralView ArticlePubMedGoogle Scholar
  4. Rytwinski NK, Avena JS, Echiverri-Cohen AM, Zoellner LA, Feeny NC: The relationships between posttraumatic stress disorder severity, depression severity and physical health. J Health Psychol. 2014, 19 (4): 509-520. 10.1177/1359105312474913.PubMed CentralView ArticlePubMedGoogle Scholar
  5. Bennett KS, Shepherd JM: Depression in Australian women: the varied roles of spirituality and social support. J Health Psychol. 2013, 18 (3): 429-438. 10.1177/1359105312443400.View ArticlePubMedGoogle Scholar
  6. Hochberg MS, Berman RS, Kalet AL, Zabar SR, Gillespie C, Pachter HL: The stress of residency: recognizing the signs of depression and suicide in you and your fellow residents. Am J Surg. 2013, 205 (2): 141-146. 10.1016/j.amjsurg.2012.08.003.View ArticlePubMedGoogle Scholar
  7. Ibrahim AK, Kelly SJ, Adams CE, Glazebrook C: A systematic review of studies of depression prevalence in university students. J Psychiatr Res. 2013, 47 (3): 391-400. 10.1016/j.jpsychires.2012.11.015.View ArticlePubMedGoogle Scholar
  8. Meng H, Li J, Loerbroks A, Wu J, Chen H: Rural/urban background, depression and suicidal ideation in Chinese college students: a cross-sectional study. PLoS One. 2013, 8 (8): e71313. 10.1371/journal.pone.0071313.PubMed CentralView ArticlePubMedGoogle Scholar
  9. Chen L, Wang L, Qiu XH, Yang XX, Qiao ZX, Yang YJ, Liang Y: Depression among Chinese university students: prevalence and socio-demographic correlates. PLoS One. 2013, 8 (3): e58379. 10.1371/journal.pone.0058379.PubMed CentralView ArticlePubMedGoogle Scholar
  10. Bl Z, Ding J, Chen H, Li Y, Xu H, Tong J, Wang A, Tang G, Zhu J, Yang D: Depressive disorders among children in the transforming China: an epidemiological survey of prevalence, correlates, and service use. Depress Anxiety. 2013, 30 (9): 881-892. 10.1002/da.22109.View ArticleGoogle Scholar
  11. Peng J, Xiao W, Yang Y, Wu S, Miao D: The impact of trait anxiety on self‒frame and decision making. J Behav Decis Mak. 2014, 27 (1): 11-19. 10.1002/bdm.1783.View ArticleGoogle Scholar
  12. Hammen C, Hazel NA, Brennan PA, Najman J: Intergenerational transmission and continuity of stress and depression: depressed women and their offspring in 20 years of follow-up. Psychol Med. 2012, 42 (05): 931-942. 10.1017/S0033291711001978.PubMed CentralView ArticlePubMedGoogle Scholar
  13. Kessler RC: Epidemiology of women and depression. J Affect Disord. 2003, 74 (1): 5-13. 10.1016/S0165-0327(02)00426-3.View ArticlePubMedGoogle Scholar
  14. Kessler RC: Posttraumatic stress disorder: the burden to the individual and to society. J Clin Psychiatry. 2000, 61: 4-14.PubMedGoogle Scholar
  15. Jaremka LM, Lindgren ME, Kiecolt‒Glaser JK: Synergistic relationships among stress, depression, and troubled relationships: insights from psychoneuroimmunology. Depress Anxiety. 2013, 30 (4): 288-296. 10.1002/da.22078.View ArticlePubMedGoogle Scholar
  16. O’Connor SS, Zatzick DF, Wang J, Temkin N, Koepsell TD, Jaffe KM, Durbin D, Vavilala MS, Dorsch A, Rivara FP: Association between posttraumatic stress, depression, and functional impairments in adolescents 24 months after traumatic brain injury. J Trauma Stress. 2012, 25 (3): 264-271. 10.1002/jts.21704.View ArticlePubMedGoogle Scholar
  17. Wang X: Subjective well-being associated with size of social network and social support of elderly. J Health Psychol. 2014, doi:1359105314544136Google Scholar
  18. He F, Guan H, Kong Y, Cao R, Peng J: Some individual differences influencing the propensity to happiness: Insights from behavioral economics. Soc Indic Res. 2014, 119: 897-908. 10.1007/s11205-013-0519-0.View ArticleGoogle Scholar
  19. Peng J, Miao D, Xiao W: Why are gainers more risk seeking. Judgment Decis Making. 2013, 8 (2): 150-160.Google Scholar
  20. Thoits PA: Mechanisms linking social ties and support to physical and mental health. J Health Soc Behav. 2011, 52 (2): 145-161. 10.1177/0022146510395592.View ArticlePubMedGoogle Scholar
  21. Thoits PA: Perceived social support and the voluntary, mixed, or pressured use of mental health services. Soc Mental Health. 2011, 1 (1): 4-19. 10.1177/2156869310392793.View ArticleGoogle Scholar
  22. Maulik PK, Eaton WW, Bradshaw CP: The effect of social networks and social support on mental health services use, following a life event, among the Baltimore Epidemiologic Catchment Area cohort. J Behav Health Serv Res. 2011, 38 (1): 29-50. 10.1007/s11414-009-9205-z.View ArticlePubMedGoogle Scholar
  23. Cohen S: Contrasting the hassles scale and the perceived stress scale: who’s really measuring appraised stress?. Am Psychol. 1986, 41: 716-718.View ArticleGoogle Scholar
  24. Zimet GD, Dahlem NW, Zimet SG, Farley GK: The multidimensional scale of perceived social support. J Person Assess. 1988, 52 (1): 30-41. 10.1207/s15327752jpa5201_2.View ArticleGoogle Scholar
  25. Chou KL: Assessing Chinese adolescents’ social support: the multidimensional scale of perceived social support. Person Individ Differ. 2000, 28 (2): 299-307. 10.1016/S0191-8869(99)00098-7.View ArticleGoogle Scholar
  26. Kong F, You X: Loneliness and self-esteem as mediators between social support and life satisfaction in late adolescence. Soc Indicat Res. 2013, 110 (1): 271-279. 10.1007/s11205-011-9930-6.View ArticleGoogle Scholar
  27. Zung WW: A self-rating depression scale. Arch Gen Psychiatr. 1965, 12 (1): 63-70. 10.1001/archpsyc.1965.01720310065008.View ArticlePubMedGoogle Scholar
  28. Lee HC, Chiu HFK, Wing YK, Leung CM, Kwong PK, Chung DWS: The Zung self-rating depression scale: screening for depression among the Hong Kong Chinese elderly. J Geriatr Psychiatry Neurol. 1994, 7 (4): 216-220. 10.1177/089198879400700404.View ArticlePubMedGoogle Scholar
  29. Ni X, Yan H, Chen S, Liu Z: Factors influencing internet addiction in a sample of freshmen university students in China. Cyberpsychol Behav. 2009, 12 (3): 327-330. 10.1089/cpb.2008.0321.View ArticlePubMedGoogle Scholar
  30. Baron RM, Kenny DA: The moderator–mediator variable distinction in social psychological research: conceptual, strategic, and statistical considerations. J Pers Soc Psychol. 1986, 51 (6): 1173-1182.View ArticlePubMedGoogle Scholar
  31. Frazier PA, Tix AP, Barron KE: Testing moderator and mediator effects in counseling psychology research. J Couns Psychol. 2004, 51 (1): 115-134.View ArticleGoogle Scholar
  32. Kong F, Zhao J, You X: Self-esteem as mediator and moderator of the relationship between social support and subjective well-being among Chinese university students. Soc Indic Res. 2013, 112 (1): 151-161. 10.1007/s11205-012-0044-6.View ArticleGoogle Scholar
  33. Anacker C, Cattaneo A, Musaelyan K, Zunszain PA, Horowitz M, Molteni R, Luoni A, Calabrese F, Tansey K, Gennarelli M: Role for the kinase SGK1 in stress, depression, and glucocorticoid effects on hippocampal neurogenesis. Proc Natl Acad Sci. 2013, 110 (21): 8708-8713. 10.1073/pnas.1300886110.PubMed CentralView ArticlePubMedGoogle Scholar
  34. Peng J, Jiang X, Zhang J, Xiao R, Song Y, Feng X, Zhang Y, Miao D: The impact of psychological capital on job burnout of Chinese nurses: the mediator role of organizational commitment. PLoS One. 2013, 8 (12): e84193. 10.1371/journal.pone.0084193.PubMed CentralView ArticlePubMedGoogle Scholar
  35. Peng J, Jiang Y, Miao D, Li R, Xiao W: Framing effects in medical situations: distinctions of attribute, goal and risky choice frames. J Int Med Res. 2013, 41 (3): 771-776. 10.1177/0300060513476593.View ArticlePubMedGoogle Scholar
  36. Regehr C, Glancy D, Pitts A: Interventions to reduce stress in university students: a review and meta-analysis. J Affect Disord. 2013, 148 (1): 1-11. 10.1016/j.jad.2012.11.026.View ArticlePubMedGoogle Scholar
  37. Lee DS, Padilla AM: Acculturative stress and coping: gender differences among Korean and Korean American university students. J Coll Stud Dev. 2014, 55 (3): 243-262. 10.1353/csd.2014.0025.View ArticleGoogle Scholar
  38. Park YR, Jang EH: Impact of stress on depression among university students: testing for moderating effect of social support. Korean J Adult Nurs. 2013, 25 (5): 549-558. 10.7475/kjan.2013.25.5.549.View ArticleGoogle Scholar
  39. Chai PPM, Krägeloh CU, Shepherd D, Billington R: Stress and quality of life in international and domestic university students: cultural differences in the use of religious coping. Mental Health Relig Cult. 2012, 15 (3): 265-277. 10.1080/13674676.2011.571665.View ArticleGoogle Scholar
  40. Fagundes CP, Lindgren ME, Shapiro CL, Kiecolt-Glaser JK: Child maltreatment and breast cancer survivors: social support makes a difference for quality of life, fatigue and cancer stress. Eur J Cancer. 2012, 48 (5): 728-736. 10.1016/j.ejca.2011.06.022.PubMed CentralView ArticlePubMedGoogle Scholar
  41. Kossek EE, Pichler S, Bodner T, Hammer LB: Workplace social support and work–family conflict: a meta‒analysis clarifying the influence of general and work–family‒specific supervisor and organizational support. Pers Psychol. 2011, 64 (2): 289-313. 10.1111/j.1744-6570.2011.01211.x.PubMed CentralView ArticlePubMedGoogle Scholar
  42. Barth J, Schneider S, von Känel R: Lack of social support in the etiology and the prognosis of coronary heart disease: a systematic review and meta-analysis. Psychosom Med. 2010, 72 (3): 229-238. 10.1097/PSY.0b013e3181d01611.View ArticlePubMedGoogle Scholar
  43. Lee C, Dickson DA, Conley CS, Holmbeck GN: A closer look at self-esteem, perceived social support, and coping strategy: a prospective study of depressive symptomatology across the transition to college. J Soc Clin Psychol. 2014, 33 (6): 560-585. 10.1521/jscp.2014.33.6.560.View ArticleGoogle Scholar
  44. Kim J-M, Stewart R, Kim S-W, Kang H-J, Kim S-Y, Lee J-Y, Bae K-Y, Shin I-S, Yoon J-S: Interactions between a serotonin transporter gene, life events and social support on suicidal ideation in Korean elders. J Affect Disord. 2014, 160: 14-20.View ArticlePubMedGoogle Scholar
  45. Waite EB, Shanahan L, Calkins SD, Keane SP, O’Brien M: Life events, sibling warmth, and youths’ adjustment. J Marriage Fam. 2011, 73 (5): 902-912. 10.1111/j.1741-3737.2011.00857.x.PubMed CentralView ArticlePubMedGoogle Scholar

Copyright

© Wang et al.; licensee BioMed Central Ltd. 2014

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/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Advertisement