.

International Journal of Rural Psychology

Title
Predictors of Depression and Attitudes to Risk Taking among Rural Adolescents

 

Author Details
Christine Barallon M.Psych  & David Harvey PhD

 

Correct Reference
Barallon, C., & Harvey, D. (2002) Predictors of Depression and Attitudes to Risk Taking among Rural Adolescents, International Journal of Rural Psychology, Vol 3, No. 12, URL

http://www.ruralpsych.com/Members/RefereedResearchNotes/RRN-Barallon-Harvey.htm

 

Affiliation & Contact Details

Assoc Prof  David Harvey

david.harvey@education.monash.edu.au

Faculty of Education

Professional area: Counselling/Clinical

PO Box 6

Monash University

Victoria 3800

03 9905 2856 

   

Abstract

The following study investigated the predictors of depression and risk-taking attitudes among Australian rural adolescents in terms age, self-esteem and social support. The sample comprised 80 female adolescents ranging from 11 to 16 years (M = 13.7 years) in Years 7, 9 and 11. All were attending rural secondary schools in the Western-Barwon region of Victoria. Participants completed the Rosenberg Self-Esteem Scale, Reynolds Adolescent Depression Scale, Social Support Appraisals Scale and a list of risk taking behaviours. Risk taking attitudes were positively correlated with social support to a low degree; depression was positively correlated with negative self-esteem at a moderate level but was also negatively correlated with social support at a high level. Social support was negatively correlated with negative self-esteem at a moderate level. A regression analysis indicated that family support, self-esteem and peer support were significant predictors of depression, accounting for 63.7% of the variance. In comparison, significant predictors were not found for risk taking attitudes.

 

A major concern for mental health professionals is the increase in the suicide rate of adolescents over the past two decades. On average, eight young people commit suicide a week in Australia (Burdekin, 1994; Carr-Gregg, 2000). In addition, many adolescents contemplate or engage in deliberate self-harm (Graham, Reser, Scuderi, Zubrick, Smith & Turley, 2000) and there is an apparent increase in accident or injury rates among adolescents (Blum & Rinehart, 1997). It is postulated that the high rate of suicide is related to depressive illness while the high accident rate is related to aspects of risk taking behaviour. In particular, adolescents living in rural or remote areas are over represented in suicide and a number of risk taking behaviours (Blum & Reinehart, 1997; Shanahan & Hewitt, 1999). With more than five million Australians living outside major metropolitan centres it is imperative that predictors of psychological health of rural youth are thoroughly explored (Burdekin, 1994).

 

Depression

A depressive illness is generally defined as a constant lowering of mood with approximately 20% of the Australian population affected (Raphael & National Health and Medical Research Council, 1992). Rates of depression increase with age. Statistics show that around 3% of children aged 4 to 11 years suffer depression, the rate increasing to 5% of youth between 12 and 16 years. It is common therefore for the first episodes of depression to occur during adolescence presumably as the major developmental tasks of that period put individual young people under increasing levels of stress. It has also been shown that females are twice as likely as males to report depressive symptoms although this trend may be biased by a reluctance of males to report their emotions (Roberts, 1999).

 

In terms of locality, Peterson et al, (1993) noted that a review of the literature showed rural adolescents may be at greater risk of suffering depression than suburban or urban adolescents. The greater risks may be associated with a greater sense of isolation or the lack of psychological resources in rural areas (Harvey & Hodgson, 1985). There is a disturbingly high rate of suicide in rural areas, particularly for male adolescents (Burdekin, 1994). As depression is linked to suicide it is imperative that research explores the predictors of depressive illness among adolescents living in rural areas.

 

Depression and Self-esteem

The experience of depression during adolescence is associated with behavioural and emotional problems (Youngren & Lewinsohn, 1980), one of the major consequences being a negative level of self-esteem. Self-esteem is generally defined as a personal judgement of one’s self-worthiness, and includes associated positive or negative emotions (Dusek, 1991). Individuals with negative self-esteem are characterised by feelings of dissatisfaction, unhappiness and the inability to recognise personal strengths. As with depression, several studies have found that females tend to report lower levels of positive self-esteem than males both during adolescence (Finn & Rock, 1997; Watkins, Dong & Xia, 1997) and early adulthood (Fleming & Courtney, 1984; Nell & Ashton, 1996).

 

Depression and Risk Taking

Depression during adolesence is linked to higher rates of risk taking behaviour (Carr-Gregg, 2000). Adolescents who report depressive symptoms are more likely to be involved in drug use, drop-out of school early and engage in unsafe sex practices. Risk taking may increase when adolescents report high levels of depression due to different perceptions of risk, and it may therefore be a predictor of depression as depressed adolescents appear to be more vulnerable to engaging in high levels of risk taking.

 

Research has shown that adolescents in general often participate in high amounts of risk taking behaviour that endangers their physical and psychological health (Bond, Thomas, Toumbourou, Patton & Catalano, 2000; Tonkin, 1987) but it must also be recalled that adolescence is by definition a time of, “exploration, exuberance and youthful searching” (Coon, 1989, p. 425). These characteristics mean then that adolescents will be trying out various new ways of looking at life and enjoying their new freedoms. The risk taking behaviours which cause concern to mental health professionals however are those which are defined as involving an uncertain outcome where the potential for negative consequences for the self and/or others outweighs the positive consequences (Moore & Gullone, 1994). Nicotine addiction, binge drinking, excessive and/or continuous alcohol use, cannabis and/or heroin addiction, designer drug use, unsafe sexual activity and dangerous driving are the kinds of behaviours that are targetted in such discussions.

 

Risk Taking and Social Support

Some research has explored the possible moderating role of social support on adolescent risk taking behaviour and psychological health. Social support refers to “those social interactions or relationships that provide individuals with actual assistance or with a feeling of attachment to a person or group that is perceived as caring or loving” (Hobfoll, Freedy, Lane & Gellar, 1990, p. 467).

 

It has been hypothesised that adolescent risk taking behaviour and depressive disorders are moderated by perceived social support (Armsden & Greenberg, 1987; Jacobvitz & Bush, 1996). That is, the more adolescents perceive the availability of social support, the greater will be their resistance to engaging in serious risk taking behaviours and to developing depression (Booth, Rubin, & Rose-Krasmor, 1998; Cohen & Wills, 1985).

 

Risk Taking Attitudes and Behaviour

The protective and risk patterns of social support on adolescent risk taking suggest that the socialisation experiences of an adolescent are critical to behaviour. Socialisation refers to the process where adolescents learn the, “skills, attitudes, beliefs and behaviour” (Bouma, Dixon & Robarts, 1989, p. 288) required for participation in society. Adolescents therefore adopt attitudes that are shaped by their family, peers and school experiences. Attitudes are defined as “a general feeling or evaluation - positive or negative - about some person, object or issue” (Hogg & Vaughan, 1998, p. 116). There is some evidence that individual attitudes towards risky behaviour are predictive of actual participation in risk taking such as non-use of condoms, reckless driving, excess drinking and smoking (Finken, Jacobs & Laguna, 1988; Gibbons, Gerrard, Blunton & Russell, 1998). Finken et al. (1998) studied the drink driving attitudes and behaviours of 135 young people between 17 and 24 years. Their results confirmed that attitudes towards the acceptability of drinking and driving were significant predictors of actual driving or riding while intoxicated.

 

Hypotheses

The present study is aimed at exploring the predictors of psychological health and risk taking attitudes of female adolescents living  in rural Australia. In accordance with previous research it is hypothesised:

(1)               That risk taking attitudes will be positively correlated with social support;

(2)               That risk taking attitudes will be negatively correlated with depression and negative self-esteem;

(3)               That self-reported depression will be positively correlated with negative self-esteem;

(4)               That self-reported depression will be negatively correlated with social support;

(5)               That social support will be negatively correlated with negative self-esteem;

(6)               That age, risk taking attitudes, social support and self-esteem will be significant predictors of self-reported depression;

(7)               That age, self-reported depression, social support and self-esteem will be significant predictors of  risk taking attitudes.

 

Method

Participants.

Eighty female adolescents from five rural public secondary schools in the Western Barwon region of Victoria, Australia participated in the study. The students were aged between 11 and 16 years, and enrolled in Years 7 (n = 34), 9 (n = 28) and 11 (n = 28).

 

Materials

Rosenberg Self-Esteem Scale (RSES) (Hagborg, 1993; Rosenberg, 1965).

The RSES is a 10 item scale developed to identify the social factors influencing adolescent self-esteem on attitudes and behaviour. Its modern form involves scoring on a 4 point scale ranging from 1 = strongly agree to 4 = strongly disagree with five items reversed scored to give a possible total of 40. High scores are indicative of high levels of negative self-esteem. Items are of the type, ‘I feel that I have a number of good qualities’ and ‘I feel that I do not have much to be proud of’ with the latter being reverse scored.

           

Considerable research has demonstrated the reliability of the RSES with Cronbach alphas around .87 and .88 (Fleming & Courtney, 1984; Fontaine & Jones, 1997). Test-retest is reported at .82 after two weeks (Fleming & Courtney, 1984) and .57 after one year (McCarthy & Hoge, 1982).

 

Reynolds Adolescent Depression Scale (RADS) (Reynolds, 1987).

The RADS was designed to measure depression in adolescents aged from 13 to 18 years. It is composed of 30 items scored on a four point scale ranging from 1 = almost never to 4 = most of the time. High scores are indicative of high levels of depressive symptoms. Test-retest reliability ranges from .80 after six weeks to .63 after one year. Internal consistency ranges from .90 to .94 (Kundert, 1992) and correlates well with DSM-III and other measures of depression (Kaplan, 1992).

 

Social Support Appraisals Scale (SSAS) (Dubow & Ullman, 1989).

The SSAS contains 31 items used to measure adolescent perceptions of social support. Ten items concern peer support, eleven concern family support, and ten concern school support. Each item is rated on a five-point Likert scale ranging from 1 = never to 5 = always. Scores can be computed for the total and the three subscales. High scores are indicative of high levels of perceived support.

 

The SSAS was originally developed to assess children’s perceptions of support but it has been shown to be reliable and valid for adolescent populations. Test-retest reliabilities range from .66 to .73 and internal consistency ranges from .81 to .88 (Dubow, Tusak, Causey Hryshko & Reid, 1991).

 

Risk Taking Attitudes Inventory (RTAI)

The RTAI was constructed for the purposes of the present study. Respondents rated a list of 28 behaviours on a five-point scale ranging from 1 = never risky to 5 = always risky. High scores are indicative of higher levels of perceived risk. The 28 behaviours were selected on the basis of research into sexual risk taking, academic risk taking, criminal activity, road related risk taking and drug related risk taking.

 

1.       Using marijuana                           2.          Casual sex

3.       Using condoms                             4.          Smoking cigarettes

5.       Binge drinking                             6.          Skipping school

7.       Long term relationships              8.          Having sex

9.       Using drugs                               10.          Walking down the street

11.     Moving house                           12.          Studying

13.     Helping a friend                        14.          Doing homework

15.     Wagging school                        16.          Borrowing money

17.     Drink driving                            18.          Having unprotected sex

19.     Rock climbing                           20.          Going to parties

21.     Racing cars                               22.          Not attending classes

23.     Shoplifting from stores             24.          Writing graffiti on walls

25.     Fist fights                                  26.          Carrying a weapon (knife)

27.     Making telephone pranks        28.          Riding with a drunk driver

 

Statistical examination of the RTAS revealed a high level of internal reliability of the 28 items (Alpha = .86).

 

Procedure

Following approval by the Ethics Committees of the Department of Education Employment and Training and Monash University, a number of schools in the West Barwon region were approached. Five schools agreed to participate and letters of invitation to parents and students were sent out by each school. Completed consent forms were received from 30% of the possible sample. The first author attended each school to administer the questionnaire booklet. A list of participating students was compiled and code numbers assigned. As had been agreed with the schools and all parents and students invited to participate, a debriefing session was given the students about the purpose of the research and how the information they had given would be treated. The researcher remained at the school for the day to meet with any students who wished to discuss any matters raised in the questionnaires. The original (and only) list of students and their code numbers was then left with the Principal. Following protocol discussed with each school, the Reynold’s Adolescent Depression Scale was scored the evening of data collection. The principals of each school were promptly contacted to identify any student with a total score of 77 or greater on the RADS, to ensure support for at-risk students.

 

Results

All data were checked for normality and descriptive statistics compiled for all variables. Normality was assessed using the Kolmogorov-Smirnov (Lilliefors) test with the following results: Self-esteem, mean = 20.8 out of possible 40, K-S Lilliefors (72) = .12, p <.01, negatively skewed due to over representation of higher scores; Depression, mean = 58.9 out of possible 120, K-S Lilliefors (72) = .07, ns, positively skewed as sample over represented on low depression scores; Risk-taking attitudes, mean = 90.2 out of possible 140, K-S Lilliefors (72) = .05, ns, scores normally distributed; Social Support, mean = 121.1 out of a possible 155, K-S Lilliefors (72) = .08, ns, scores normally distributed; Peer Support, mean = 39.1 out of a possible 50, K-S Lilliefors (72) = .13, p <.004, negatively skewed due to over representation of high peer support; Family Support, mean = 45.6 out of a possible 55, K-S Lilliefors (72) = .16, p <.000, negatively skewed due to high levels of family support; and School Support, mean = 36.2 out of a possible 50, K-S Lilliefors (72) = .08, ns, normally distributed.

 

In view of the minor violations of normality it was conservatively decided to use Spearman’s rank order correlations to undertake the planned correlation analyses.

 

Table 1.

Correlation Coefficients Between Depression, Social Support, Self-esteem and Risk Taking Attitudes. N = 72.

 

Depression

Self-esteem

Social support

Risk-taking attitudes

Depression

 

---

.56**

-.64**

-.02

Self-esteem

 

 

---

-.53**

-.07

Social support

 

 

 

---

.97**

 

Note:    ** <.01, one-tailed

 

As social support was significantly correlated with self-esteem and depression, post-hoc correlations were performed to investigate the associations with the three types of social support and the remaining dependent variables.

 

Table 2.

Post Hoc Correlations Between Type of Social Support and Depression and Self-esteem.

 

Peer support

 

Family support

School support

Depression

 

-.64**

-.72**

-.66**

Self-esteem

 

-.53**

-.45**

-.51**

Note: ** <.01, one-tailed.

 

A multiple regression analysis was conducted to examine the significant predictors related to risk taking attitudes. The results indicated that when the variables of depression, self-esteem, social support (total and/or family, peer and school) and age combined they account for only 5% of the variance [R2 = .05] in predicting risk taking attitudes.

 

A multiple regression analysis was conducted to examine the significant predictors related to depression including risk-taking attitudes.

 

Table 3.

Summary of Multiple Regression Analysis for Variables Predicting Depression.

Variable

B

Beta

t

 

Sig

Self-esteem

.97

.25

2.83

 

.006

Peer support

-.64

-.27

-2.64

 

.01

Family support

-.92

-.39

-4.59

 

.000

School support

-.31

.13

-1.19

.237

 

Risk-taking

-.00

.06

.922

.360

 

Note: R2 = .706, p <.01.

 

The results in Table 3 indicate that when the variables of self-esteem, family and peer support are combined they account for a significant amount of variance in the prediction of depression (70.6%). Further analysis showed that self-esteem (t = 2.83, p < .01), family support (t = -4.59, p < .001) and peer support (t = 2.64, p <.01) were statistically significant predictors of depression.

 

Discussion

The present study supports the theoretical prediction that positive self-esteem is inconsistent with high levels of self-reported depression. Positive self-esteem is based on a realistic evaluation of personal characteristics and abilities, an acknowledgment of difficulties, and an expectation of improvement in the future (Berk, 1994). Negative self-esteem is based on feelings of dissatisfaction, unhappiness and the inability to recognise personal strengths. In contrast to self-esteem, depression is a measure of psychological health, associated with physical and psychological problems (Roberts, 1999). The results of this study suggest that the association between negative self-esteem and depression is moderate, but is nevertheless in the expected direction supporting other research which has shown adolescents with positive self-esteem are less likely to report depressive symptoms (Fleming & Courtney, 1984; Roberts & Gotlib, 1997). The findings also support the theory of social comparison as negative evaluations appear to be related to increased levels of depression. It is possible that depression both arises from, and leads to, negative comparisons and self-evaluations. As the study is cross-sectional in nature, the results do not however make clear whether depression leads to negative self-evaluations or if negative self evaluations lead to depression, as it is known that depression can reduce self-esteem (Dusek, 1991).

 

The significant negative correlation between depression and social support supports the hypothesis that the latter plays a moderating role for female adolescent depression (Cohen & Wills, 1985). It suggests that the experience of psychological problems, including depression, are directly affected by social support as found by Bell-Dohan, Reaven and Petersen (1993), Goodyer, Wright and Altham (1990), Kennedy, Spence and Hensley (1989) and Greenberger and Chen (1996). The results mean that the more a female adolescent perceives a friend, parent or teacher as supportive, the less likely the adolescent is to have high levels of depressive symptoms. Thus social support can act as a buffer to reduce the likelihood of an adolescent developing depression. Conversely, depressed female youth tend to report social withdrawal, and consequently may perceive a lack of social support as a consequence of depression (Roberts, 1999).

 

Similarly, the results support the idea that social support enhances self-esteem reflecting the positive effect of social support on an adolescent’s self evaluations. Van Aken and Asendorpf (1997) reported that German adolescents who perceived low social support, in particular from parents, also reported decreased feelings of self-worth. The present study indicates a similar process among this group of rural females. Furthermore, the results indicate that the source of the support, be it from family, peers and, to a much lesser extent, school is not important. All three sources show positive correlations with self-esteem and each plays an important role in fostering positive self-evaluations for female adolescents.

 

The failure of the present study to show risk taking attitudes as predictive of depression or negative self-esteem may be due to methodological limitations, as past research has shown risk taking attitudes vary with depression and self esteem levels (Carr-Gregg, 2000). The measurement of risk taking attitudes may underestimate the association between risk taking and the dependent variables of depression and self- esteem. Furthermore, the sample excluded males. Consequently gender differences were unable to be investigated.

 

In addition, the results of the present study may be biased due to the low level of consent forms that were returned. It is possible that differences exist between the sample of adolescents whose parental consent forms were returned and those whose consent forms were not returned in time. In future research, a longer period between the recruitment of participants and administration of the questionnaire would be necessary in order to gain a larger and more representative sample of rural adolescents. Future research involving a larger and more representative sample could explore whether the relationship between depression and risk taking attitudes during adolescence is moderated by gender and age.

 

The results of the present study suggest that family, peers and school life all play an important role in the prevention and remediation of depressive tendencies and negative self evaluations. Strategies that enhance the social supports available through these three avenues should be encouraged and expanded. For peers, forums on what it means to provide support for each other including peer counselling opportunities could be followed up. For families, programs that support communication and positive relationships between family members would be of benefit. In addition, programs that foster all aspects of personal achievement and skills development seem very appropriate for the young people represented by this sample.

 

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