 Open Journal of Depression 2013. Vol.2, No.1, 1-6 Published Online February 2013 in SciRes (http://www.scirp.org/journal/ojd) http://dx.doi.org/10.4236/ojd.2013.21001 Copyright © 2013 SciRes. 1 The Mediating Effects of Social Support and Coping on the Stress-Depression Relationship in Rural and Urban Adolescents Einar B. Thorsteinsson1, Stephanie Mariee Ryan1, Sigrun Sveinbjornsdottir2 1University of New England, Armidale, Australia 2University of Akureyri, Akureyri, Iceland Email: ethorste@une.edu.au Received November 7th, 2012; revised December 10th, 2012; accepted December 18th, 2012 This study examined the relationship between potential risk and protective factors for depression among 167 girls and 343 boys in urban and rural areas of NSW, Australia. The risk and protective factors in- cluded social support, coping style, and perceived stress. The results indicated no significant differences in depression and risk and protective factors for rural and urban adolescents. Maladaptive coping (rumi- nation and acting out) and social support (satisfaction and number of supporters) were partial mediators of the relationship between perceived stress and depression with the overall model explaining 66% of the variance in depression. Thus changes to coping and to social support network need to be addressed in any intervention aimed at reducing the impact of perceived stress on depression in adolescents. Keywords: Social Support; Depression; Coping; Perceived Stress; Adolescent Introduction It is well recognized that adolescence is a major transitional period in a person’s life (Dumont & Provost, 1999) including unusually large cognitive, emotional, social, and physical changes (Seiffge-Krenke, Weidemann, Fentner, Aegenheister, & Poeblau, 2001). Recent neurobiological research indicates that adolescents, around puberty in particular, may be overly sensitive to stress as compared with children and adults (Romeo, 2010). Adolescence has been described as a sensitive period due to brain development, a phase in the life-span where vul- nerability towards development of depression is heightened (Andersen & Teicher, 2008). In general, adolescents experience stressful situations such as those concerning family relations, school performance, interpersonal relationships (friends and romantic partners), and financial restraints (Byrne, Davenport, & Mazanov, 2007; Moksnes, Byrne, Mazanov, & Espnes, 2010). If the demands of these situations exceed the individu- als’ capacity to cope there will be an increased risk of depres- sion, anxiety, and/or drug and alcohol abuse. Depression in adolescence has been linked with negative health effects and found to be a predictor of depression in adul- thood (Reinherz et al., 1989), especially if it is diagnosed in combination with oppositional defiant disorder, anxiety and substance use (Copeland, Shanahan, Costello, & Angold, 2009). As many as a quarter of those with major depressive disorder during adulthood have reported onset during childhood or ado- lescence (Sorenson, Rutter, & Aneshensel, 1991). For the pur- pose of prevention, it is important to identify possible protec- tive and risk factors for depression during adolescence. Findings suggest that protective factors for depression might include adaptive coping (e.g., seeking social support), and high social support (satisfaction with support and network size). Thus, social support has been found to protect against the ef- fects of stress in adults (Cohen & Wills, 1985) and adolescents (Burke & Weir, 1978; Levitt, Guacci Franco, & Levitt, 1993), and to attenuate the effects of stress on psychological problems (Schmeelk-Cone & Zimmerman, 2003). Several studies have already shown the importance of social support in reducing the impact of stressful situations on cardiovascular reactivity (Thorsteinsson & James, 1999; Thorsteinsson, James, Douglas, & Omodei, 2011), suggesting that support plays a causal role in protecting the individual’s cardiovascular health. A growing interest for neurobiological aspects of resilience to stress is noted, not least to explore the complex interaction between social support, developmental stage and diverse social factors (Ozbay, Fitterling, Charney, & Southwick, 2008). In relation to coping, research shows that well-adapted ado- lescents use more mature coping strategies than poorly adapted adolescents (Jorgensen & Dusek, 1990) and they are more ac- tive in dealing with stress (Tolor & Fehon, 1987). Consequently, adolescents who approach their challenges are better adjusted than those who avoid them (Ebata & Moos, 1991); they have fewer behavioral problems and a higher level of ego develop- ment (Recklitis & Noam, 1999). Avoidant or maladaptive cop- ing, such as rumination and acting out, is repeatedly reported as a risk factor for depression. Thus, rumination is suggested as a vulnerability factor for both adolescent depression and sub- stance use (Skitch & Abela, 2008). A longitudinal study in- cluding early versus late adolescence revealed that when active coping was present in early adolescence it predicted less per- ceived stress later on towards the same stressors regardless of situations (Seiffge-Krenke, Aunola, & Nurmi, 2009). However, if internal coping (e.g., withdrawal, rumination) was commonly used in early adolescence then the outcome was reversed with the stress perception being high in late adolescence. Maladaptive coping such as aggressive or disruptive beha- vior (acting out, anger) is repeatedly reported as a risk factor for depression and thus it is correlated with greater depression relative to those who use adaptive coping (i.e., problem solving and seeking social support; Galaif, Sussman, Chou, & Wills, 2003; Jose et al., 1998; Kosterman et al., 2010; Murberg & Bru,
 E. B. THORSTEINSSON ET AL. 2005). Likewise, Murberg and Bru (2005) found that aggressive coping was related to depression and that anger coping sus- tained depression, perceived stress, and the use of illicit drugs. Seiffge-Krenke and Klessinger (2000) reported that avoidant coping was consistently associated with higher levels of de- pressive symptoms while approach oriented coping was not. The use of maladaptive coping (e.g., rumination) may thus influence the way adolescents respond to depression and con- sequently the duration of depressive episodes. Adolescents in rural areas may be faced with higher levels of depression and stress than adolescents in urban areas. Day, Kane, and Roberts (2000) examined the prevalence rates of stress and depression in rural Western Australia and reported that rural dwellers experience high situational stress on a day-to-day basis including isolation and income factors. Day et al. propose in their review that stress and depression in rural populations might be higher than in urban populations. How- ever, previous research using an adult sample contradicts this suggestion proposing instead that rural populations have lower levels of depression (Crowell, George, Blazer, & Landerman, 1986). Social geography research into areas such as rural geog- raphy, mental health geography, and the social geographies of caring challenges the “idyllic nature of rural life” (Boyd & Parr, 2008), and suggests that there may be differences between rural and urban populations. Social geography suggests that rural populations have to deal with difficult mental health issues just like urban populations. They also may have to cope with li- mited resources or access to mental health services (Aisbett, Boyd, Francis, Newnham, & Newnham, 2007), and individuals with mental illness in rural areas may also feel more isolated from their community (Boyd & Parr). Quine et al. (2003), in a rural versus urban sample, found higher levels of depression, youth suicide, and teenage pregnancy. They believed this could be explained by a structural imbalance between urban and rural adolescents in Australia because rural adolescents report fewer educational, occupational, and recreational opportunities. In rural adolescent populations, depression has been found to cor- relate negatively with peer- and family social support, self- esteem, and optimism in rural adolescents (Weber, Puskar, & Ren, 2010). Based on the findings reported above, it was hypothesized that 1) rural adolescents would have higher levels of perceived stress and depression than their urban counterparts; 2) low so- cial support would be associated with high depression; 3) high maladaptive coping would be associated with high depression and low social support; 4) social support would mediate (reduce) the effects of perceived stress on depression; 5) adaptive coping would mediate (reduce) the effects of perceived stress on de- pression; and 6) that maladaptive coping would mediate (aug- ment) the effects of perceived stress on depression. Method Participants There were 510 participants with complete data, 343 boys and 167 girls. Participants were between the ages of 14 and 18 (M = 15.50, SD = .89). Participants were from rural (n = 123, schools outside large cities in New South Wales, Australia) and urban (n = 387, schools in Sydney, NSW, Australia) areas. All were private schools but with diverse student populations in terms of family socioeconomic background given the schools’ online profile, location, and religious denomination. The schools were all non-government and included three independent and three low-fee paying Catholic schools. Of 697 questionnaires 187 were excluded as they were empty or with very limited information. Thus there was a participation rate of 73%. No comparison of excluded versus included par- ticipants was possible due to the extent of missing data in the excluded group. According to the norms of the depression scale, about 14% of the sample had “extremely severe” depression, 7% “severe”, 15% “moderate”, 10% “mild”, and 53% had “normal” levels. Measures Depression was measured by the depression subscale on the Depression, Anxiety, and Stress Scales (DASS-21; Lovibond & Lovibond, 1995). The DASS-21 has good internal consistency with alphas ranging from .87 to .94 for each of its 7-item sub-scales, and adequate validity in a variety of populations (Antony, Bieling, Cox, Enns, & Swinson, 1998). The scale is a 4 point Likert scale ranging from 0 (Did not apply to me) to 3 (Applied to me very much, or most of the time) to answer ques- tions such as “I felt that life was meaningless”. In the present study, the internal reliability for the depression sub-scale was .90. Total scores were averaged rather than summed across items to keep the link between the total score and the anchors on the 4-point scale. Perceived stress was measured using the Perceived Stress Scale (PSS; Cohen, Kamarck, & Mermelstein, 1983). This is a 10-item measure of how often respondents have viewed their life situations as stressful over the past month (Cohen et al., 1983), such as “In the last month how often have you felt that you were unable to control the important things in your life”. The scale is a 5-point Likert scale, ranging from 0 (Never) to 4 (Very often). Items 4, 5, 7, and 8 are reverse-scored. The PSS is the most widely used psychological instrument for measuring the perception of stress (Cohen, 1988), and is correlated with a variety of health symptoms and help-seeking behaviors (Cohen et al., 1983). In the present study, internal reliability for the PSS was .85. The Measure of Adolescent Coping Strategies (MACS; Sveinbjornsdottir, 2005; Sveinbjornsdottir & Thorsteinsson, 2012) is a 34-item scale, including five primary factors: (a) distraction/stoicism, (b) acting out, (c) rumination, (d) seeking social support, and (e) self-care. These five factors comprise two dimensions, one adaptive (a, d, and e) and the other mal- adaptive (b and c). It has cross-cultural validation and good test-retest reliability and adequate internal reliability compared with other adolescent coping scales (for a review of other measures see Sveinbjornsdottir & Thorsteinsson, 2008). The MACS was standardized through exploratory factor analysis and the participation of 3034 Australian adolescents and 6908 Icelandic adolescents. The factor structure has been tested using confirmatory factor analysis and found to be good, CFI = .94, TLI = .92, GFI = .95, RMSEA = .054 [90% CI .045, .064], and SRMR = .063 (Sveinbjornsdottir & Thorsteinsson, 2012). Par- ticipants were asked to think of a stressful situation they had experienced during the recent past (i.e., something that hap- pened at school, in their family, relations with other people, or their health). They were then asked to circle a number for each item on a 4-point Likert scale ranging from 0 (I did not use) to 3 (I used almost all the time). In the present study, the MACS had an adequate internal reliability for distraction/stoicism Copyright © 2013 SciRes. 2
 E. B. THORSTEINSSON ET AL. of .72, acting out .77, rumination .73, seeking social support .70, and self-care .71. Social support was measured using the Social Support Ques- tionnaire Short Form (SSQ6; Sarason, Sarason, Shearin, & Pierce, 1987), a psychometrically sound and conveniently ad- ministered instrument. It has good internal reliability and cor- relates highly with the full-scale SSQ (Sarason et al., 1987). The items have two parts. The first part of each item assesses the number of available others (SSQN) the participant has who he/she can rely on in times of need. An example of the type of question is “Who do you know whom you can trust with infor- mation that could get you into trouble”. In the second part of the item, the participant is asked to indicate on a 6-point Likert scale how satisfied (SSQS) he/she is with the overall support from the number of people indicated in the first part ranging from 1 (Very dissatisfied) to 6 (Very satisfied). In the present study, internal reliability for the SSQS was .86 and for the SSQN .93. Procedure Ethics approval was granted by the university’s human ethics committee and participating schools. Participants were re- cruited from schools in urban areas (Sydney, NSW, Australia) and in rural areas of NSW (i.e., schools outside large cities). Teachers approached students in their classes about participat- ing in the study and consent forms were sent home to the par- ents or guardians of the students. A day was organized for the participating school to complete the questionnaires. One participant had missing values for social support satis- faction and number. These values were estimated using the expectation-maximization (EM) algorithm within SPSS missing values analysis. The following variables were used to predict the missing values: age, sex, social support satisfaction and number, DASS21 (depression, anxiety, and stress), MACS (dis- traction/stoicism, acting out, rumination, seeking social support, and self-care), and perceived stress. SPSS (version 20) was used for routine statistical analyses in raw and processed data with statistical significance set at .05 and expected mean differences to be above 0.30 standard de- viation units (d). AMOS (version 20) was used for structural equation modeling (SEM): modeling mediators of the perceived stress-depression relationship. Recommendations by Kline (2005) were used to select fit indices. The Comparative Fit Index (CFI) ranges from 0 to 1, with those above .90 suggest- ing good fit, for the Root Mean Square Error of Approximation (RMSEA) and Squared Root Mean Residual (SRMR) a value of 0 represents perfect fit. RMSEA values below .08 and SRMR values. 10 are generally interpreted as favorable. All parameters for the model were estimated using AMOS’ maximum likeli- hood algorithm. Further testing of potential mediators was conducted using the bootstrap method by Preacher and Hayes (2004) replacing the Sobel test. This method compares coefficients for the total effect, path c (effects of independent variable on the dependent variable without any mediators) with the coefficient for the direct effect c’ (effects of independent variable on the depend- ent variable with any mediators included). There is significant mediation if the c-c’ difference is larger than zero based on a 95% bootstrap generated confidence interval. Unstandardized b coefficient with 95% confidence interval is reported, in square brackets, to show if the proposed mediator mediates the pro- posed relationship or not. Results There was no statistically significant difference between ur- ban and rural populations for perceived stress or depression all effect sizes being small (see Table 1), thus the samples were analyzed as one. Social support satisfaction and number were both significantly associated with depression (see Table 2). High maladaptive coping, acting out and rumination were asso- ciated with high depression. High acting out was associated with low social support while high rumination was associated with low support satisfaction but not low support number (see Table 2). Examination of the mediation effects of social sup- port and coping found that adaptive coping including distrac- tion/stoicism b = .01 [−.01, .04], seeking social support b = .00 [−.01, .01], and self-care b = .00 [−.01, .01] did not mediate the effects of perceived stress on depression. Acting out, b = .09 [.05, .13], and rumination, b = .09 [.04, .14] were partial me- diators of the relationship between perceived stress and depres- sion. Social support satisfaction, b = .04 [.01, .07] and number, b = .04 [.02, .06] were partial mediators of the effects of per- ceived stress on depression. SEM was used to model these mediation effects showing that perceived stress, maladaptive coping, and social support ex- plained about 66% of the variance in depression (see Figure 1). Discussion The first hypothesis was not supported with little difference in perceived stress and depression levels between rural and urban adolescents contradicting suggestions by Day et al. (2000), Crowell et al. (1986), and Quine et al. (2010). The se- cond hypothesis was supported with high depression and low social support (satisfaction and number of supporters) levels being associated, thus supporting previous research and theory (Burke & Weir, 1978; Cohen & Wills, 1985; Dumont & Pro- vost, 1999; Levitt et al., 1993). High maladaptive coping was associated with high depression and low social support thus supporting the third hypothesis. The fourth hypothesis was supported with social support mediating the effects of perceived stress on depression expanding on the findings by Day et al. (2000) and Weber et al. (2010). The fifth hypothesis was not supported in that adaptive coping did not attenuate the effects of perceived stress on depression. The final hypothesis was supported, finding that maladaptive coping augmented the ef- fects of perceived stress on depression. The resulting model, as shown in Figure 1, supported the hypotheses further showing that it is important to target both maladaptive coping and social support to reduce the impact of perceived stress on depression. The results showed that high rumination (e.g., hoping that the problem will disappear or Table 1. Perceived stress and depression means (SD) for all, urban, and rural participants with a comparison of urban and rural participants. Measure All (N = 510) Urban (n = 387) Rural (n = 123) d (CI95%) Perceived Stress 1.79 (.75)1.78 (.74) 1.85 (.76) .09 [−.11, .30] Depression .84 (.81) .83 (.80) .88 (.84) .06 [−.14, .26] Copyright © 2013 SciRes. 3
 E. B. THORSTEINSSON ET AL. Copyright © 2013 SciRes. 4 Table 2. Correlation matrix for key variables (N = 510). Variable 1 2 3 4 5 6 7 8 1. Perceived stress - 2. Support satisfaction −.28** - 3. Support number −.19** .47** - 4. Distraction/stoicism −.25** .18** .28** - 5. Acting out .37** −.22** −.19** −.12** - 6. Rumination .51** −.11* −.02 −.03 .40** - 7. Seeking support −.04 .23** .33** .43** .01 .20** - 8. Self-care −.11* .18** .26** .47** .03 .08 .50** - 9. Depression .66** −.30** −.30** −.22** .47** .51** −.11* −.12** *p < .05 (two-tailed), **p < .01 (two-tailed). Perceived stress Depression Maladaptive coping .71 * .17 * .66 * Rumination .57 * .70 * .58 * [.50 * ] Acting out Social support Social support satisfaction Support numbers .68 * .68 * [.12 * ] -.35 * -.24 * Figure 1. The mediation of acting out and rumination of the perceived stress–depression relationship. Percentage of variance explained given in square brackets. 2(18) = 68.29, p < .001, CFI = .970, TLI = .926, RMSEA = .052 (.040, .066), SRMR = .044. *p < .05 (one-tailed). hoping for a miracle) and high acting out (e.g., aggressive be- havior) were important predictors of high depression levels along with low social support (satisfaction and number). The model in Figure 1 thus supports and expands on previous find- ings presenting a testable model. The model supports previous findings suggesting that engaging in maladaptive coping strate- gies has negative repercussions for the adolescent (DeLongis & Holtzman, 2005) and that social support attenuates the impact of stress (e.g., Burke & Weir, 1978; Cohen & Wills, 1985; Day et al., 2000; Dumont & Provost, 1999; Levitt et al., 1993). Although the correlation between adaptive coping and de- pression was in the expected direction, adaptive coping was not a significant mediator of the perceived stress to depression relationship. According to Delongis and Holtzman (2005), the inconsistent findings in relation to adaptive coping may be due to the nature of the situation evoking perceived stress levels, the social context in which the coping occurs, and the personality of the individual. The present findings might be interpreted to mean that adaptive coping is ‘overshadowed’ by social support, a construct related to seeking social support (Sveinbjornsdottir & Thorsteinsson, 2012). The small differences between the urban and rural adolescent samples may have been due to a lack of any real differences between these populations. However, there may be differences in the type of stressful situations experienced by these groups and not in the level of perceived stress, at least for adolescents. Findings from social geography research (Boyd & Parr, 2008) have not really been integrated into a mental health model cap- turing the differences between urban and rural adolescents, thus future studies might operationalise urban and rural based on social geography research to help clarify any potential differ- ences between urban and rural adolescents. Cross-sectional studies do not address causal directions. Therefore, more work is required to model the effects of coping and social support on the stress to depression relationship. Lon- gitudinal and experimental studies are needed to try and address causal pathways. Despite a good participation rate, larger sam- ples are needed to examine sex and location differences. The
 E. B. THORSTEINSSON ET AL. social support pathway may be more “important” for rural ado- lescents than urban adolescents (Baume & Clinton, 1997) sug- gesting that remote rural areas may be more at risk than rural towns that are not so remote; in the present study remote rural towns were not significantly represented. Conclusion These findings suggest that improving social support satis- faction and networks may benefit adolescents through reduced impact of perceived stress on depression levels. Similarly, re- ducing maladaptive coping behavior may also lessen the impact of perceived stress on depression. Consequently, in order to replace maladaptive coping with adaptive coping and to im- prove social networks, adolescents need to become aware of and understand the impact their ways of coping and social net- works may have on their well-being. For that purpose, educa- tion in general and cognitive behavior therapy in clinical cases might prove useful. REFERENCES Aisbett, D. 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