Anxiety, Stress, and Coping, March 2006; 19(1): 15 /31 The relationship between coping, social support, functional disability and depression in the elderly E. GREENGLASS, L. FIKSENBAUM, & J. EATON York University, Toronto, Canada Abstract The increase in the number of older people and the functional disability associated with increasing age have caused concern regarding the consequences of large numbers of elderly people who are limited in their functional ability. One of the psychological factors that should be related to functional disability in the elderly is the way they cope with stress. The present study examines the use of proactive coping in the elderly in relation to their depression and their functional ability. Results of structural equation modeling showed that proactive coping was negatively associated with functional disability and with depression. Social support was positively associated with proactive coping and negatively with depression. Depression was positively associated with functional disability. A significant implication of the results is the importance of studying the combined relationship of social support and coping to elderly functioning. Keywords: Elderly, depression, functional disability, coping, social support With the rapidly growing number of seniors, there is agreement that functional limitations and disability are among the most significant challenges to confront health care in the new millennium (Fried & Guralnik, 1997). Functional ability is defined as the activities and tasks that people do on a daily basis. Assessment of disability is of increasing interest to researchers and clinicians alike in the field of aging. In the case of community-living elderly, one central concern in research is to identify those at greatest risk of losing functional abilities and, by the same token, those who risk losing the ability to lead an independent life in their community. If disability is detected early, then it might be possible to develop interventions that are aimed at stopping or slowing down the disability process, thus allowing seniors to remain in the community for longer periods of time. Data indicate that most seniors live in the community and, particularly, at home rather than an institution. In 1991, for example, 92% of all people aged ]/65 years in Canada lived in a private household compared with only 8% of all seniors residing in an institution, such as homes for the elderly, or the chronically ill (Statistics Canada, 2004). As people age, functional ability decreases and many people find they are unable to do the daily things that they used to take for granted. This may include shopping for groceries and personal items, bathing, climbing stairs, or taking a bus or train oneself. According to previous research, demographic factors are related to functional disability, such as advanced Correspondence: Dr Esther Greenglass, Department of Psychology, York University, Toronto, Ontario, Canada M3J 1P3. E-mail: [email protected] ISSN 1061-5806 print/ISSN 1477-2205 online # 2006 Taylor & Francis DOI: 10.1080/14659890500436430 16 E. Greenglass et al. age (Hebert, Brayne, & Spiegelhalter, 1997; Rathouz et al., 1998), female gender (Dunlop, Hughes, & Manheim, 1997; Oman, Reed, & Ferrara, 1999), and chronic diseases including arthritis, diabetes, heart disease, and hypertension (Boult, Kane, Louis, & McCaffrey, 1994; Langlois et al., 1996). Additional chronic health conditions that become more prevalent with age include respiratory illness, stomach problems, and vision and hearing impairments. These conditions also contribute to impairment of functional ability (Kempen et al., 1999). Research findings on the elderly indicate further that older individuals report higher levels of depressive symptoms than their younger counterparts (Mirowsky & Ross, 1992; Newman, 1989). Possible explanations for this include losses arising from the aging process, including social losses, and life transitions. Low levels of psychological resources are associated with functional decline (Ormel et al., 1997) and depression (Greenglass, 2002). For example, in their study of instrumental behaviors of daily living community-dwelling seniors, Kempen et al. (1999) concluded that older individuals with fewer psychological resources are particularly at risk for developing disability. Resources may include coping strategies and social support. Individuals vary widely in their coping strategies. While some are unable to cope with the slightest problem, others appear to handle even the most difficult situations with competence and grace. For most, their coping responses are somewhere between these two extremes. Coping has been defined by some as a multidimensional process involving cognitive, behavioral, and emotional efforts to deal with stressful events that create demands on the individual (Carver & Scheier, 1994; Folkman, 1984; Folkman & Lazarus, 1980, 1985; Parker, Endler, & Bagby, 1993). In the past, the dominant conceptual model in research focused on coping effectiveness as manifest in the reduction of distress. However, coping may have other functions. For example, proactive coping is conceptualized more broadly as an approach to life in which an individual’s efforts are directed towards goal management where demands and different situations are seen more as challenges rather than stressors (Greenglass, 2002; Schwarzer & Taubert, 2002). The proactive perspective may best be described by Zea & Tyler (1996) as ‘‘a general style or orientation that pervades the way an individual approaches life activities facilitating positive outcomes’’ (p. 331). To the extent that individuals offset, eliminate, reduce or modify ‘‘stressful events,’’ proactive coping can improve one’s quality of life. The skills that characterize this behavior may include planning, goal setting, organization, and mental simulation (Aspinwall & Taylor, 1997). The Proactive Coping Inventory (PCI) was constructed to assess different dimensions of a proactive approach to coping and consists of seven subscales: proactive coping, preventive coping, reflective coping, strategic planning, instrumental support seeking, emotional support seeking, and avoidance coping (Greenglass, Schwarzer, & Taubert, 1999). The PCI is theoretically based on Schwarzer’s Proactive Coping Theory (Schwarzer, 1999a). In constructing the PCI, the Proactive Attitude Scale (Schwarzer, 1999b) and the General Self Efficacy Scale (Schwarzer, 1998; Schwarzer & Jerusalem, 1995) were used as external criteria to locate items related to proactivity. Taken together, these scales assess relatively persistent beliefs in one’s own competence to deal with demanding circumstances as well as beliefs in the rich potential for changes that can be made to improve oneself and/or one’s environment (Schwarzer, 1999b). For this study, we will focus only on one of the PCI subscales, namely the Proactive Coping Scale, a 14-item scale that combines autonomous goal setting with self-regulatory goal attainment cognitions and behavior. By using proactive coping, the individual strives actively for improvement in one’s life instead of mainly reacting to an adversity. Proactive coping integrates motivational and intentional aspects with volitional maintenance processes. Relationship between coping, social support, functional disability and depression 17 The PCI was developed using data from a sample of 248 Canadian students and then tested with a 144 Polish-Canadian adult sample (Greenglass, Schwarzer, & Taubert, 1999; Taubert, 1999). Statistical techniques such as Pearson product-moment correlation, factor analysis, principal component analysis, and reliability procedures were employed to support the theoretically based development process and to enhance the quality of scale construction. For the Proactive Coping Scale, Cronbach alphas of 0.85 and 0.80 were obtained for the Canadian and Polish-Canadian samples respectively. The scale displays good item-total correlations and acceptable skewness as an indicator of symmetry around the mean. A principal component analysis with varimax rotation confirmed its factorial validity and homogeneity, supporting a one-factor solution (Greenglass, Schwarzer, & Taubert, 1999). Consistently high internal reliability ratings for the Proactive Coping Scale have been reported in a variety of samples including Turkish Canadians (A. K. Uskul & E. Greenglass, 2005), Polish university students (Pasikowski, Sek, Greenglass, & Taubert, 2002), Canadian employed adults (Greenglass, 2006), and rehabilitation hospital patients (Greenglass, Marques, de Ridder, Behl, & Horton, 2003), ranging from 0.79 to 0.87, with most having values /0.80, thus providing evidence for the scale’s high internal consistency. Previous research reports moderately positive correlations between scores on the proactive coping subscale and self-efficacy (Greenglass, 2002; Greenglass, Schwarzer, & Taubert, 1999), thus suggesting that self-regulation is one of the dimensions of proactive coping. Additional data show that Proactive Coping Scale scores are significantly and positively associated with scores on external scales assessing active coping in the Canadian and Polish Canadian samples. Moderate to high correlations (from 0.42 to 0.62) were obtained between proactive coping scores and scores on active coping, preventive coping, and internal control, a measure of the extent to which the individual takes the initiative in coping efforts (Greenglass, Schwarzer, & Taubert, 1999). Scores on the proactive subscale correlate positively and significantly with scales assessing planning, goal setting, and positive reframing, thus enabling persons to prepare and ward off stress before it occurs (Greenglass, Schwarzer, & Taubert, 1999). Research reports significant moderately negative correlations between proactive coping scores, denial ( /0.31) and self-blame (/0.47) in Canadian university students (Greenglass, Schwarzer, & Taubert, 1999). Proactive coping correlates significantly and negatively with depression in Canadian university students (/0.49), in Polish-Canadians (/0.41) (Greenglass, Schwarzer, & Taubert, 1999), and in Polish university students (/0.51) (Pasikowski et al., 2002). Findings further indicate that proactive coping is significantly associated with lower burnout and higher professional efficacy in employed Canadian adults (Greenglass, 2002, 2006), and with lower threat and less loss appraisals in German teachers (Schwarzer & Taubert, 2002). Taken together, the data suggest that proactive coping is a self-regulatory coping strategy that is associated with higher levels of well-being, lower levels of depression, and better psychological functioning. According to previous research (Greenglass, 2002; Schwarzer & Taubert, 2002), there is an integral relationship between proactive coping and social support. Resources such as social support lead to the development of proactive coping (Greenglass, 2002). These ideas those of parallel Hobfoll et al. (Hobfall, Dunahoo, Ben-Porth, & Monnier, 1994), who discuss the dynamic relationship between coping and social support acquisition. This approach acknowledges the importance of resources in others that can be incorporated into the behavioral and cognitive coping repertoire of the individual. Resources from one’s network, such as information, practical assistance, and emotional support, can contribute 18 E. Greenglass et al. positively to the construction of individual coping strategies (Greenglass, 1993). Findings show that social support, the total number of individuals who offer assistance (including practical help, advice and/or encouragement), was associated with greater proactive coping in a sample of rehabilitation hospital inpatients (Greenglass et al., 2003). These considerations suggest that proactive coping should be associated with less functional disability in the elderly. It is speculated here that there are two reasons for this hypothesis: first, the elderly proactive individual is more likely to recognize cues that there is an increased risk of functional disability with aging, and takes steps to deal with it before it occurs. Second, a highly proactive elderly person is more likely to see himself/herself as efficacious and therefore initiate behavior directed toward modifiable factors, such as nutrition and physical exercise. Social support is another psychological resource that is associated with better psychological functioning. According to research, depression and functional disability should decrease with greater social support. For example, Sarason et al. (Sarason, Levine, Basham, & Sarason, 1983) found that the greater the number of persons providing social support, the lower the depression scores in male and female respondents. Social support has also been associated with better mental health in the elderly and with less depression in particular (Antonucci & Jackson, 1987). Selection of emotionally meaningful social relationships may be necessary to elicit the resilience needed for successful adjustment to the difficulties associated with aging (Carstensen, 1992). A social network and social support are valuable resources for the elderly. Since social support provides resources that help individuals perform daily tasks, it should be associated with lower functional disability. The present study and hypotheses The present study has two objectives. The first objective is to examine the relative contributions of physical (i.e., health status) and psychological factors (i.e., coping) in predicting functional disability in older adults. The second objective is to test a psychosocial model of functional disability that permitted an examination of the direct and indirect association of psychosocial variables with functional disability. Specifically, it is expected that higher levels of proactive coping should be associated with lower functional disability and with lower depression. In addition, social support is seen as associated with lower functional disability, lower depression, and greater proactive coping. Methods Respondents Respondents were 224 community-residing older adults attending various community centers that offered programs for seniors. The age of the respondents ranged from 62 to 98 years, with an average age of 75 (SD 6.88) years. Approximately one-half lived alone (50.5%) and most were retired (88.3%). They were predominantly female (78.2%). Fortyfive percent were widowed, 39.8% were married, and 15.2% were single, separated, divorced, or common law. Fifty-five percent were involved in volunteer work, on average 7.30 (SD 6.12) h per week. The respondents were also involved in a variety of hobbies and general interest classes, such as traveling (51%), cooking (49%), gardening (21%), knitting (13%), yoga (5%), bowling (1.3%), and cards (23%). Only 14.3% reported less than a high school education; 52.6% had completed high school; 22.5% had completed community college or an undergraduate university degree; and 10.5% had a postgraduate degree. Relationship between coping, social support, functional disability and depression 19 Measures Functional disability Functional disability was assessed using Krause’s (1998) Functional Disability Scale. This measure assessed respondents’ difficulties with everyday activities such as dressing, washing, shopping, and using the telephone. It also included more strenuous physical activities, such as doing heavy work around the house (shoveling snow, washing walls), stooping, crouching or kneeling, and lifting or carrying something as heavy as 11.3 kg (25 lb). The original scale, derived from the work of Liang (1990), contains 14 items. For this study, it was modified slightly by adding an item, ‘‘going to the toilet.’’ For each item, if respondents indicated they had no difficulty, it was assigned a score of 0. A score of 1 was assigned to items where respondents indicated they had any difficulty. The respondent’s functional disability score consisted of the sum of 1’s. Therefore, the functional disability score consisted of the total number of areas in which the respondent reported having some difficulty. The alpha coefficient for the functional disability measure was 0.87. Proactive coping Coping was assessed using the Proactive Coping subscale of the PCI (Greenglass, Schwarzer, & Taubert, 1999). The Proactive Coping subscale consists of 14 items and combines autonomous goal setting with self-regulatory goal attainment cognitions and behavior. Examples of items are, ‘‘I always try to find a way to work around obstacles; nothing really stops me’’ and ‘‘I turn obstacles into positive experiences’’ (see Appendix A for the proactive coping items). Respondents were asked to indicate their degree of agreement with each item, using the following format: 1 /not at all true, 2 /barely true, 3 /somewhat true, and 4 /completely true. Respondents’ proactive coping score was the sum of their responses for the 14 items. The alpha coefficient was 0.84. Studies indicate that the Proactive Coping subscale is a highly reliable and valid measure (Greenglass, 2002; Greenglass, Schwarzer, & Taubert, 1999; Pasikowski et al., 2002). Depression Depression was measured using four items from the Brief Symptom Inventory (BSI; Derogatis, 1993), a self-report inventory of psychopathology and psychological distress (see Appendix B for the depression items). The original scale has six items; however, two items were not included in this study. One item, ‘‘Thoughts of ending your life’’, was dropped due to ethical concerns. The other item, ‘‘Feelings of worthlessness’’, was omitted because it cross-loaded highly on the Psychotocism factor of the BSI (Derogatis, 1993). A sample item from the BSI is, ‘‘Feeling no interest in things.’’ Respondents were asked to indicate on a five-point scale (1 ‘‘not at all’’ to 5 ‘‘extremely’’) how much they had been distressed in the past 7 days by the particular complaint in the item. Items were averaged for each respondent to yield a depression score. Higher scores indicated higher intensity of depressive symptoms. The internal reliability was 0.87. The BSI has been shown to be a reliable and valid measure (Derogatis, 1993). Evidence for the validity of the BSI as a measure of depression is seen a study by Scocco et al. (Scocco, Meneghel, Dello-Buono, & De-Leo, 2001), who report that elderly subjects with death or suicidal ideation manifested depressive symptoms on the BSI. Further validity data for the BSI is seen in a study by Magni et al. (Magni, Frisoni, Rozzini, & De-Leo, 1996), who assessed a sample of community-dwelling elderly subjects for pain and discomfort in 16 somatic domains (e.g., hands, arms, shoulders, back, and neck) and for depressive symptoms using the BSI. They found a positive correlation between number of pains reported and the BSI depression scale scores. Physical health status Physical health status was measured by the Survey of Health Problems, an objective checklist used by Health and Welfare Canada (1981) for use in its 20 E. Greenglass et al. Canada Health Survey. The checklist consists of 21 physical disorders that are representative of the most prevalent chronic illnesses among the elderly (e.g., arthritis, diabetes, heart disease, and hypertension). Respondents were asked to indicate those conditions that applied to them. The more items endorsed, the more chronic conditions there were, and the poorer the respondent’s health. Physical health status was the sum of the chronic conditions that the respondent checked. Social support Twenty-six items from the Social Support Behaviors Scale (SS-B; Vaux, Riedel, & Stewart, 1987) were used to measure social support. This scale was designed to measure the number of people who would offer the respondent support when it was needed, and includes emotional support, practical assistance, and advice/guidance. Examples of items are: ‘‘Comforts me when I am upset’’ and ‘‘Helps me out with a move or a big chore’’. Responses were obtained on a three-point scale, where 1 indicated ‘‘no one would do this,’’ 2, ‘‘one person would do this,’’ and 3, ‘‘more than one person would do this.’’ A mean score was obtained for each respondent by averaging their responses over 26 items. The alpha coefficient for the overall measure was 0.97. Demographic information Respondents were also asked to answer general demographic questions, such as age, gender, level of education, marital status, and living arrangements, as well as to indicate their involvement in volunteer work, hobbies, and general interest classes. Procedures Several community centers that offered day programs for seniors were contacted. The researchers attended classes and asked for volunteers to participate in a study on reactions to day-to-day events in the elderly. If the volunteers agreed, they were asked to complete a self-report questionnaire. Upon completion, the respondents were instructed to deposit the envelope in a sealed box located in the center. Results Table I presents means, standard deviations, ranges, and correlations among composite variables. Social support was positively correlated with proactive coping and was inversely related to depression and functional disability. Proactive coping correlated negatively with depression and with functional disability. Depression was positively related to functional disability and physical health status. Physical health status correlated positively with functional disability. Table I. Matrix of variables (means, standard deviations and intercorrelation) Variable 1. 2. 3. 4. 5. Social support Depression Functional disability Proactive coping Physical health$ Mean SD Range 1 2 3 4 / /0.25** /0.22** 18* /0.08 / 0.44*** /0.33*** 0.33*** / /0.40*** 0.45*** / /0.01 2.45 0.50 1 /3 1.67 0.90 1 /5 5.13 3.55 0 /15 37.56 8.21 19 /56 Note. *p B/0.05, **p B/0.01, ***p B/0.001. $The higher the score, the more chronic health conditions. 5 6.24 3.56 0 /21 Relationship between coping, social support, functional disability and depression 21 A hierarchical regression was conducted in order to determine the relative contributions of physical and psychological measures in predicting the functional disability of older adults. Deletion of missing data in the statistical analyses yielded a final sample of 183 respondents. The first block of variables included age and gender. Physical health was entered in the second step and proactive coping was entered in the third step. Results indicated that the demographic variables physical health and coping each contributed significant increments in explained variance in functional disability among the elderly. In total, the model explained 45% of the variance in functional disability. The demographic variables accounted for 17% of the total variance in functional disability, physical health accounted for 19%, and coping accounted for 10% of the variance. Examination of the b and t values indicated that functional disability increased significantly with increasing age and poorer physical health, whereas those who employed proactive coping strategies reported less functional disability (see Table II). Path analysis, using structural equation analysis techniques, was performed to test the model presented in Figure 1. This statistical methodology, using AMOS, takes a hypothesis-testing approach to the multivariate analysis of a structural model relating constructs (Byrne, 1994). Path analysis was used instead of testing a latent structure model, since it has been argued that when the sample size is small, parcels or composite factors are preferable, because fewer parameters are needed to define the construct (Bagozzi & Edwards, 1998). AMOS generates a chi-square goodness of fit statistic to test the extent to which a hypothesized model is consistent with the data. The chi-square statistic is the original fit index for structural models. A small non-significant chi-square value indicates that the model fits the data well, and that the model and the data are not significantly different from each other. Given the sensitivity of the chi-square statistic to sample size, a number of alternative absolute fit measures have been proposed. Joreskog & Sorbom (1993) have introduced two absolute fit indices, the Goodness of Fit Index (GFI), and Adjusted Goodness of Fit Index (AGFI). For the GFI, values of ]/0.90 indicate a close fit between the model and the data. The AGFI attempts to adjust the GFI for the degrees of freedom of a model relative to the number of variables. Usually, a value of at least 0.90 is required to accept the model. Another widely used index is the Root Mean Square Error of Approximation (RMSEA; Steiger, 1990). The RMSEA is designed to estimate the lack of fit of a model to the population covariance matrix. If the approximation is good, the RMSEA should be small. Browne & Cudek (1993) suggest that a RMSEA value of 5/0.05 indicates a close fit, and values of 5/0.08 represent reasonable fit. PCLOSE is the p value, provided by AMOS, for testing the null hypothesis that the RMSEA is B/0.05. Table II. Predictors of functional disability (n/183) Independent variables R2 I. Age Gender II. Physical Health Status III. Proactive Coping Variables Age Gender Physical Health Status Proactive Coping DR2 p 0.17 0.17 B/0.001 0.35 0.45 0.19 0.10 B/0.001 B/0.001 b 0.26 /0.09 0.44 /0.33 t 4.43*** /0.71 7.84*** /5.63*** 22 E. Greenglass et al. Social Support Proactive Coping Functional Disability Depression Figure 1. Theoretical model relating Proactive Coping, Functional Disability, Social Support, and Depression Two well-known incremental indices of fit assessment are the Normed Fit Index (NFI; Bentler & Bonett, 1980) and the Comparative Fit Index (CFI; Bentler, 1990). The NFI and CFI are both based on a comparison of the hypothesized model against a baseline model, typically the independence model. Given that the NFI has a tendency to underestimate fit in small samples (Bearden, Sharma, & Teel, 1982), Bentler (1990) revised the NFI to take sample size into account, and proposed the CFI. Similar to the GFI and AGFI, values for the NFI and CFI /0.90 are generally considered acceptable. AMOS generates b values that provide indices of directional relationships among constructs. While the path models assessed in structural equation modeling reflect hypotheses about causation among constructs, the results can be correlational (Everitt & Dunn, 1991). Causation cannot be assumed in a cross-section study. In the model presented in Figure 1, social support leads to lower functional disability, lower depression, and higher proactive coping. Proactive coping leads to lower functional disability and lower depression. All analyses were conducted using AMOS version 4.0 (Arbuckle & Wothke, 1999). The maximum likelihood method of parameter estimation was utilized. The analysis was performed on 183 respondents. Cases with missing data were excluded from analyses. Social Support –0.20** 0.18* –0.28*** Functional Disability Proactive Coping Depression 0.35*** Figure 2. Modified model –0.29*** Relationship between coping, social support, functional disability and depression 23 The independence chi-square [x2 (6, n /182) /91.471, p / 0.000] confirmed the presence of inter-correlations in the data and, therefore, its suitability for SEM analysis. However, the x2 goodness of fit statistic (x2 (1) /21.949, p / 0.000) failed to support the theoretical model. In an attempt to develop a better fitting model, post hoc modifications were performed. Specifically, the non-significant path from social support to functional disability was removed and a path from depression to functional disability was added, as suggested by the modification index. The modified model yielded a good fit of the data to the model. The x2 goodness of fit statistic for the modified model was x2 (1) /1.855, p/0.173. Other fit indices (e.g., GFI, CFI, NFI, and RMSEA) were highly satisfactory. Table III displays the fit indices for the models. Social support was directly related to proactive coping (positive) (b/0.18) and to depression (negative) (b / /0.20). Proactive coping was associated with lower depression (b / /0.29) and lower functional disability (b / /0.28). Depression was positively related to functional disability ( /0.35). Social support was indirectly related to depression through proactive coping (/0.18 * b/ /0.29). Social support had an indirect association with functional disability through proactive coping (b/0.18 * b / /0.28), through depression (b / /0.20 * b /0.35), and through proactive coping and depression (b /0.18 * b / /0.29 * b /0.35). Discussion The results of the present study support the hypotheses that age and chronic health conditions predict to higher levels of functional disability. Functional disability increased significantly with more physical disorders reported by the elderly participants, including arthritis, diabetes, heart disease, and hypertension, for example. These findings coincide with other studies that report increasing functional disability with age (Hebert et al., 1997; Rathouz, et al., 1998) and with an increase in chronic diseases (Boult et al., 1994; Langlois, al., 1996). Chronic medical morbidity is a relatively strong predictor of different domains of disability (Kempen et al., 1999). Contrary to previous findings (Dunlop et al., 1997; Oman et al., 1999), functional disability for women in this study was not significantly higher than for men. It is possible that more women than men experience functional disability to a degree that precludes their active functioning and participation in the community, since women have been reported to suffer more than men from chronic health illnesses (Verbrugge, 1985). Results of the present study showed that coping was significantly associated with lower functional disability in the elderly. This finding parallels results of other studies examining the role of psychological factors in the prediction of functional disability in the elderly. For example, in the studies of Mendes de Leon et al. (Mendes de Leon, Seeman, Baker, Richardson, & Tinetti, 1996) and Rejeski et al. (Rejeski, Miller, Foy, Messier, & Rapp, 1996), higher selfefficacy beliefs predicted lower functional decline in the elderly. Thus, to the extent that individuals believed they could successfully perform intended behaviors, they were less Table III. Fit indices for models Model Initial model Modified model x2 df p GFI AGFI NFI CFI RMSEA PCLOSE 21.949 1.855 1 1 0.000 0.173 0.946 0.995 0.460 0.949 0.760 0.980 0.755 0.990 0.340 0.069 0.000 0.266 24 E. Greenglass et al. likely to show functional decline. Given that previous research reports moderately positive correlations between proactive coping and self-efficacy (Greenglass, 2002; Taubert, 1999), the present data parallel in part previous findings. One reason that proactive coping contributed to greater functional independence is that a proactive individual is more likely to regard performance of daily activities as a challenge rather than a stressor. Some sample items from the proactive coping subscale are, ‘‘I always find a way around obstacles, nothing really stops me’’ and ‘‘I turn obstacles into positive experiences.’’ Thus, a proactive elderly individual is more likely to perceive daily activities as a challenge to be undertaken in order to achieve independence. In this way, daily activities are not regarded negatively as threats, rather they are seen as opportunities to employ one’s skills and abilities in order to achieve independence. Further data in the present study suggest that social support contributed directly to proactive coping. To the extent that respondents indicated more individuals were available to offer support when it was needed, they were more likely to report greater use of proactive coping strategies. Moreover, proactive individuals can identify and mobilize social resources, thus increasing the effectiveness of their coping strategies (Greenglass, 2002). In the present study, social support was measured by the number of people who would offer the respondent support when it was needed (social support included emotional support, practical assistance, and advice/guidance). Thus, when elderly individuals indicated that others were available to provide social support, they were more likely to report greater use of proactive coping. For example, in the present context, the elderly individual may have received information from their friends regarding the use of handlebars in the bathtub that would have facilitated independent bathing. It was also predicted that social support would lead directly to lower functional disability. The findings did not support this prediction. However, the results of structural equation modeling indicated that social support was indirectly related to functional disability through proactive coping. That is, proactive coping mediated the relationship of social support to functional disability. Taken together, these results suggest that there is a synergistic action of social support and coping related to functional disability in the elderly such that coping is enhanced by more support providers and this, in turn, relates to better physical functioning. The present data parallel observations by Carstensen (1992) that selection of emotionally meaningful social relationships may be necessary to elicit the resilience needed for successful adjustment to the difficulties associated with aging. Present findings also coincide with previous research examining social support and coping in relation to psychological functioning in the elderly, where it is suggested that coping in the elderly is a key adaptive mechanism through which social support operates (Holahan, Moos, & Bonin, 1997). Present results indicate that proactive coping was associated with lower depression. These findings are similar to previously reported results of a negative association between depression and proactive coping in Canadian and Polish-Canadian university students (Greenglass, Schwarzer, & Taubert, 1999), in Polish university students (Pasikowski et al., 2002), and in employed Canadians (Greenglass, 2006). Proactive coping is an active coping style based on individual initiation, optimism, and self-determination. The proactive coper takes initiative, is active when faced with stressors, and mobilizes resources (Greenglass, Schwarzer, & Taubert, 1999). Thus, proactive coping is inconsistent with depression, which has been characterized by personal deficiency, self-blame, and pessimism (Beck, 1967), as well as avoidance and self-defeating behavior (Burns, 1999). Given that the study’s design is cross-sectional, it is also possible that depression led to lower proactive coping. Since Relationship between coping, social support, functional disability and depression 25 depressed individuals are described as having low self-esteem, self-blame, and ideas of personal deficiency (Beck, 1967), and as a result, they probably also have low self-efficacy, they may use proactive coping less as these characteristics are opposite to those associated with proactive coping. Future research could explore this possibility. Additional findings suggest that social support led to lower depression, an expected finding given research supporting this relationship in the elderly (Antonucci & Jackson, 1987). Empirical research has shown that older adults who are embedded in active social networks tend to enjoy better physical and mental health, including lower incidence of depression, than those who do not maintain strong ties with others. The association between depression and social support has been reported as well in longitudinal studies. For example, Holahan & Moos (1986, 1987) found that family support predicted lower levels of depression over 1 year, controlling for previous depression. In a study of 400 patients with chronic cardiac illness, higher levels of social support at baseline were significantly related to fewer depressive symptoms at 1 and 4 year follow-ups (Holahan, Moos, Holahan, & Bennan, 1995; Holahan, Moos, & Schaefer, 1996; Holahan et al., 1997). Similarly, findings from a study with outpatients who had rheumatoid arthritis showed that an extended social network predicted a decrease in psychological distress after 1 year (Evers, Kraaimaat, Geenen, & Bijlsma, 1998). Taken together, the existing data strongly suggest the predictive value of social support in relation to psychological distress, particularly depression. In the present study, it is argued that social support led to lower levels of depression, an interpretation that is consistent with findings from longitudinal research. However, it is also possible that the relationship between the variables is inverted, that is that depressed people elicit less social support than those who are not depressed. According to Burns (1999), depressed people have a tendency to behave in self-defeating ways, including avoiding others. Thus, it is possible that others may be less forthcoming in providing social support to a person who shuns them. According to this interpretation, lack of receptivity on the part of the depressed individual may lead to lower social support being offered by others. As Lewinsohn (1974) suggests, depressed individuals obtain insufficient positive reinforcement from others because they lack social skills necessary to elicit positive interpersonal responses. Given that the data presented here are cross-sectional, the bi-directional nature of the relationship between social support and depression does not rule out this possibility. The relationship between depression and functional disability was originally not predicted. The prediction of this relationship was added due to results indicating a modification index in the structural equation model. The association between depression and functional disability has been reported in other studies (e.g., Prince, Marwood, Blizard, Rhomas, & Mann, 1997; Turner & Noh, 1988). Some argue that there is an impact of depression on functional disability partly due to decreasing physical activity and social interactions of depressed people (Pennix et al., 1999). The predictive relationship of depression on functional disability was also suggested in a longitudinal study of depressed and non-depressed community-dwelling seniors (55 /85 years old), where there was a statistically significant relationship between depression and functional limitations and disability days 5 months later (Geerlings, Beekman, Deeg, Twisk, & Van Tilbury, 2001). These data suggest a causal link between depression and functional disability. While the present data preclude attributing causation to depression, the interpretation put forth here is consistent with previous longitudinal work demonstrating the predictive role of depression on functional disability. At the same time, given that the present data are cross-sectional, it cannot be ruled out that functional disability led to greater depression (Ormel, 2000). In older populations with a high prevalence of chronic disease, disability has 26 E. Greenglass et al. been found associated with the onset and persistence of depression (Kennedy, Kelman, & Thomas, 1990). The present study has important theoretical and practical implications. The theoretical basis of this study puts forward an integrative model of social support and coping and examines its synergistic relationship with functional disability and depression. Findings showed that proactive coping mediated the relationship of social support to depression and functional disability. Contrary to the past where investigations have focused on relationships between either social support or coping, and functional disability or depression, the present theoretical approach has examined the combined relationship of social support and coping and its association with outcome variables. In this study, social support was measured by assessing the number of individuals providing emotional support, practical assistance, and advice/guidance, and thus it is assumed here the number of individuals providing support and not the quality of support, plays an important role. From a practical perspective, by increasing the number of support providers, proactive coping strategies should also increase. And, with an increase in proactive coping, psychological and physical functioning in the elderly should be enhanced. To the extent that depression levels are lower, functional disability should also decrease. These results also extend and enhance knowledge in the area of coping. In the present context, proactive coping predicts physical functioning in the elderly. Past research has demonstrated that proactive coping is associated with improved psychological functioning on a variety of measures. For example, scores on the Proactive Coping subscale correlated significantly and negatively with depression in Canadian university students and in PolishCanadian adults (Greenglass, Schwarzer & Taubert, 1999). Additional research reports significant negative correlations between proactive coping, state anger, depression, emotional exhaustion, and cynicism, and significant positive correlations between proactive coping scores, life satisfaction, and perception of fair treatment at work in a sample of 178 employed adults in Canada (Greenglass, 2002). Pasikowski et al. (2002) report that scores on the Proactive Coping subscale correlate negatively with depression and positively with reported health, defined as a subjective sense of health in the psychological, social, and physical domains in Polish university students. Additional results indicate that proactive coping is significantly associated with lower burnout and higher professional efficacy in a sample of employed Canadians (Greenglass, 2006). Given that proactive coping has been shown to be a viable construct in the area of elder functioning, its applicability has been extended. Moreover, present findings show that proactive coping is associated with lower levels of depression and functional disability, which are some of the major concerns associated with aging. The present research has conceptualized the study of functional disability in the elderly from a stress and coping perspective and in so doing has enabled us to access a considerable research base which can be applied to the study and understanding of the elderly and their functional ability. Findings from this research may be employed to suggest practical interventions that would provide useful assistance in slowing the decline of functional ability in the elderly, while at the same time empowering them to take greater control of their own quality of life. For example, the finding that proactive coping was associated with higher levels of independence functioning suggests that interventions that instruct communitydwelling elderly on how to cope proactively on a daily basis should be associated with an increase in functional independence. Further findings from the present study indicate a significant association between social support and lower depression. Thus, interventions Relationship between coping, social support, functional disability and depression 27 that assist the elderly to develop and maintain their ties with others could be a way of helping to alleviate their depression. The present sample was drawn from community-dwelling elderly, the largest population of the elderly. At the same time, the sample was comprised of volunteer respondents who attend community centers and therefore would not likely be severely functionally limited or depressed. As indicated earlier in this paper, only 8% of seniors reside in an institution, and they would be more restricted in terms of tasks of daily living than those residing in the community. While on average respondents’ tasks of daily living were not severely restricted, at the same time data from the present study indicate that the measure of functional disability employed here was a valid one, since present findings parallel findings from earlier research, i.e., functional disability increased with age and chronic health conditions (Langlois et al., 1996; Rathouz et al., 1998). Depression scores in this sample were moderate, suggesting that this sample of community-dwelling seniors was not seriously depressed. At the same time, since present findings regarding depression and its relationship to other variables are similar to those reported previously, e.g., a significant association between social support and depression (Antonucci & Jackson, 1987), present data indicate that the measure of depression employed here is a valid one. One limitation of this study pertains to its methodology, particularly that constructs were assessed by multiple response questionnaires with paper and pencil. As such, common method variance may be at issue in this study. Also, it has been suggested that proactive coping, like other constructs under the rubric of ‘‘positive psychology’’, is correlated positively with other positive constructs such as optimism, good self-concept, etc. In this regard, however, it does not differ from negative constructs, more often studied in psychological research, such as depression, which correlate positively with similar negative variables, such as pessimism and low self-esteem, for example. Another issue already noted is that the analyses are based on a cross-sectional design. Hence, it is not possible to draw inferences regarding causal relations among the variables. Since this study assessed constructs concomitantly, the causal paths in our model are based on hypothesized relationships that have been assessed in other research. As indicated above, it is possible that the effects may occur in the other direction. This is particularly the case when examining the relationships between social support and depression, depression and proactive coping, and depression and functional disability. While this study was conducted with active community-dwelling seniors who enjoy a relatively high degree of functional independence and who are representative of most seniors, it does not examine seniors who may be less independent and thus are not able to attend and participate in community center activities. The present study also does not focus on those seniors who reside in institutions. Since present findings are based on active community-dwelling elderly, further study is needed to determine the generalizability of the results to other populations of seniors. It is also worth noting that since only about 20% of the present sample was men, the findings reported here might be more applicable to women. To summarize, this study presented an opportunity to test a synergistic model of social support and coping and its relationship to elderly functioning. The results showed that proactive coping was negatively associated with functional disability and with depression. Social support was positively associated with proactive coping and negatively with depression. Depression was positively associated with functional disability. Thus, to the extent that the elderly employ coping techniques based on proactivity, they experience greater physical and psychological well-being. Second, there is an integral relationship between social support and coping such that social support is positively related to improved 28 E. Greenglass et al. coping skills. 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Journal of Health and Social Behaviour , 26 , 156 /182. Zea, M. C., & Tyler, F. B. (1996). Reliability, ethnic comparability and validity evidence for a condensed measure of proactive coping. The BAPC-C. Educational & Psychological Measurement , 56 , 330 /343. Relationship between coping, social support, functional disability and depression 31 Appendix A Proactive Coping Inventory (PCI) (Greenglass, Schwarzer, & Taubert, 1999) Proactive Coping Subscale The following statements deal with reactions you may have to various situations. Indicate how true each of these statements is depending on how you feel about the situation. Do this by checking the number that best describes your feelings. Not at Barely Somewhat Completely all true true true true 1. When I have a problem, I usually see myself in a no-win situation. ( /) 2. When I experience a problem, I take the initiative in resolving it. 3. After attaining a goal, I look for another, more challenging one. 4. I like challenges and beating the odds. 5. I am a ‘‘take charge’’ person. 6. I try to let things work out on their own. ( /) 7. I turn obstacles into positive experiences. 8. Despite numerous setbacks, I usually succeed in getting what I want. 9. I always try to find a way to work around obstacles; nothing really stops me. 10. If someone tells me I can’t do something, you can be sure I will do it. 11. I try to pinpoint what I need to succeed. 12. I often see myself failing so I don’t get my hopes up too high. ( /) 13. I visualize my dreams and try to achieve them. 14. When I apply for a position, I imagine myself filling it. 1 2 3 4 1 2 3 4 1 2 3 4 1 1 1 1 1 2 2 2 2 2 3 3 3 3 3 4 4 4 4 4 1 2 3 4 1 2 3 4 1 1 2 2 3 3 4 4 1 1 2 2 3 3 4 4 Note. / Reverse items. Appendix B Brief Symptom Inventory / Depression (Derogatis, 1993) On the pages that follow is a list of problems people sometimes have. Please read each one carefully, and circle the number that best describes how much that problem has bothered you during the past 7 days including today. Circle only one number for each problem and do not skip any items. Not at all A little bit Moderately 1. 2. 3. 4. Feeling Feeling Feeling Feeling lonely blue no interest in things hopeless about the future 1 1 1 1 2 2 2 2 3 3 3 3 Quite a bit Extremely 4 4 4 4 5 5 5 5
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