Copyright 1999 by The Cerontological Society of America The Cerontologist Vol. 39, No. 3, 291-298 We enrolled 543 elderly participants of a managed care organization in a cross-sectional study to test whether the association between self-rated physical health and clinically defined illness differs for persons who are not depressed compared with persons with minor or serious depression. Depression was measured with the Diagnostic Interview Schedule (DIS). Clinically defined illness was measured with the Chronic Disease Score (CDS), a pharmacy-based measure. Additional variables included age, sex, and selfreported pain and physical function. Self-rated physical health was associated with both minor and serious depression, independent of clinically defined illness; minor depression was no longer significant when self-reported pain and physical function were added to the model. A significant negative correlation between self-rated physical health and clinically defined illness was observed for minor and no depression, but no correlation was seen for serious depression. These results confirm the association between depression and selfrated physical health and emphasize that, for persons with serious depression, self-rated health provides a less accurate picture of clinically defined illness at both ends of the spectrum. Also, a diagnosis of minor depression should not forestall investigation of inconsistencies between patient report and clinical evidence. Key Words: Depression, Elderly, Chronic disease, Comorbidity, Self-rated health The Role of Depression in the Association Between Self-Rated Physical Health and Clinically Defined Illness Cynthia L. Leibson, PhD,1 Judith Garrard, PhD,2 Nicole Nitz, MS,2 Lance Waller, PhD,3 Mary Indritz, MS, RPh,4 Jody Jackson,5 Sharon J. Rolnick, PhD,5 and Lori Luepke2 Numerous studies of the factors contributing to selfrated health have reported that self-rated health is inversely associated with psychological distress and/or depression (including Mulsant, Ganguli, & Seaberg, 1997; Ormel et al.; 1998; Rodin & McAvay, 1992; Shadbolt, 1997; Streib, Suchman, & Phillips, 1958; Tessler & Mechanic, 1978; Wells et al., 1989). These studies typically found the association was independent of self-reported physical illness (i.e., number of chronic conditions, bed disability days, physician visits). Based in part on these findings, clinicians are encouraged to rule out depression when patients report poor physical health in the absence of clinical evidence of disease (Schneider, Reynolds, Lebowitz, & Friedhoff, 1994). But this interpretation is slightly problematic. It suggests that the association between self-rated health and clinically defined illness is less for persons who are This research was supported by AHCPR grant 1RO1 1 BS 0772, Judith Garrard, Principal Investigator. Address correspondence to Cynthia Leibson, PhD, Department of Health Sciences Research, Mayo Clinic, 200 1st Street SW, Rochester, MN 55905. E-mail: [email protected] 1 Department of Health Sciences Research, Mayo Clinic, Rochester, MN. Divisions of 2Health Services Research and 3Biostatistics, School of Public Health, and "Social and Administrative Pharmacy, College of Pharmacy, University of Minnesota, Minneapolis, MN. 5Health Partners, Research Foundation, Minneapolis, MN. Vol. 39, No. 3, 1999 291 depressed relative to those who are not depressed. This was not the hypothesis under investigation in a majority of the previously referenced studies. A majority did not use objective measures of clinically defined illness. Of those studies that included such measures (Blazer & Houpt ,1979; Connelly, Philbrick, Smith, Kaiser, & Wymer, 1989; Friedsam & Martin, 1963; LaRue, Bank, Jarvik, & Hetland, 1979; Linn & Linn, 1980; Maddox, 1962; McHorney, Ware, & Raczek, 1993), not all had access to valid research measures of depression; and with rare exception (McHorney et al., 1993), most measures included depressive symptoms due to physical illness. When self-rated health and clinically defined illness are in disagreement, the potential consequences include the following: missed or incorrect diagnoses, increased costs, a belief on the part of prpviders or payors that patients' health care seeking behaviors are inappropriate, and a belief on the part of patients that the system is unresponsive to their needs (Barsky, Wyshak, & Klerman, 1986; Connelly et al., 1989). Given the current health care environment, with its emphasis on cost reduction and improved outcomes, including patient satisfaction, the importance of identifying and addressing the source of disparities between self-rated health and clinically defined illness merits increased attention. The present study examines the association between self-rated physical health and clinically defined illness and tests the hypothesis that this association differs between persons who are depressed and persons who are not depressed. The advantages of this study include (a) a standardized research measure of depression that excludes symptoms due to physical illness or injury (Robins, Helzer, Croughan, & RatclHf, 1981) and (b) a pharmacy-based measure of clinically defined illness, weighted for disease type and severity (Von Korff, Wagner, & Saunders, 1992). The study population consists of elderly members of a social health maintenance organization (SHMO). Information about the contribution of depressive symptoms to the association between self-rated health and clinically defined illness is especially important in this age group because the prevalence of both depressive symptoms and physical illness is higher, and the independent contribution of self-rated health to health outcomes appears greater for older compared to younger persons (Dasbach, Klein, Klein, & Moss, 1994; Eaton & Kessler, 1981; Williams, Kerber, Mulrow, Medina, & Aguilar, 1995). Methods This cross-sectional study is part of a longitudinal investigation of outcomes associated with antidepressant treatment among elderly members of a large health maintenance organization (HMO; Carrard et al., 1998). Institutional review board approval was obtained from both the HMO and the University of Minnesota. Study participants were drawn from all persons enrolled in a capitated Medicare package that combined comprehensive hospital, outpatient, and prescription drug services with expanded communitybased long-term care benefits in a managed care setting. Data on the sociodemographic characteristics of each of the members were obtained from the membership database. Because the program was capitated, the population of all enrollees was known, whether the individuals used any services. Measure of Depression To facilitate identification of persons with depressive symptoms, a two-stage case-finding procedure was used. The intent of the first stage was to enrich the sample with persons likely to meet diagnostic criteria for depressed. In the first stage, members who were 65 years or older on June 21, 1993, and enrolled for the preceding 12 months (N = 6,198) were mailed an invitation to participate in the study. They were asked to complete the enclosed Geriatric Depression Scale (GDS) form and sign the subject consent form and return both by mail. The GDS is a 30-item true/ false, self-rating instrument with high sensitivity and moderate specificity that can be used as a reliable and valid screening tool for indication of depression (Yesavage et al., 1982). The GDS was completed and returned by 3,872 individuals (62% response rate). Respondents were similar to nonrespondents with the exception that respondents were younger than non292 respondents (mean age ± standard deviation = 74.8 ± 5.8 vs 75.8 ± 6.3 years, p < 0.001). Individuals with a GDS score >11 were considered as screening positive for depression. The cutoff of 11 was used based on published reports of GDS sensitivity and specificity (Brink et al., 1982). Individuals were also categorized as having evidence of antidepressant treatment, based on review of the HMO pharmacy records for the 12 months prior to GDS administration. Based on sample size calculations, with oversampling of persons on antidepressants and/or with indication of depression, 745 individuals were targeted for the second stage of case finding. In order to validate the GDS self-report and to differentiate individuals with serious depression or dysthymia, the second stage of case finding consisted of a structured telephone interview by trained interviewers. The diagnostic tool used consisted of the Depression and Mania subtests of the National Institute of Mental Health's Diagnostic Interview Schedule (DIS; Robins et al., 1981). The DIS determines the presence of depressive symptoms based on Diagnostic and Statistical Manual of Mental Disorders, third edition, revised (DSM Ill-R) criteria (American Psychiatric Association, 1987). The DIS was particularly appropriate for this investigation because it queries for and excludes symptoms due to physical illness, injury, or medication, thus minimizing problems of colinearity between depression status and clinically defined illness in the multivariate analyses. Persons with none of the nine DSM Ill-R symptoms needed to diagnose major depression were defined as not depressed. Persons with 1-3 symptoms were defined as having minor depression. Persons with >4 symptoms were defined as having serious depression. Extensive validity and reliability studies have been reported for the DIS and its subsections, including Depression and Mania. The validity of its use by lay interviewers, the sensitivity and specificity for DSM Ill-R criteria, and the test-retest reliability of the instrument have been previously established (Robins et al., 1981). Although originally designed as a face-to-face interview, comparability of the telephone and face-to-face interview has been demonstrated (Wells, Bumam, Leake, & Robins, 1988). Of the 745 individuals considered for the second stage, 22% (n = 163) had either died (n = 13), could not be contacted (n = 13), were no longer participating in the benefit package (n = 24), or were unable (n = 60) or declined (n = 53) to complete the interview. Compared to the nonrespondents, the 582 respondents were younger (mean age ± standard deviation = 74.0 ± 6.0 vs 75.8 ± 6.7 years, p = 0.001), more likely female (67% vs 52%, p < 0.001), and less depressed as measured by GDS > 11 (56% vs 73%, p < 0.001). Clinically Defined Illness The measure of clinically defined illness used in this study was Von Korffs and colleagues (1992) chronic disease score (CDS). The CDS considers patterns of medication use across 17 chronic disease categories, The Gerontologist with one to five classes of medication specified for each category. The CDS assigns an individual a weighted score for each chronic disease, depending on the number of classes of prescription medications filled in the previous year. The weights were based on consensus judgement of a panel of experts. Possible scores range from zero (no indication of chronic disease) to 35. The CDS has been shown to have high year-to-year stability and to be predictive of subsequent hospitalization and mortality, after adjusting for gender, age, and previous utilization (Von Korff et al., 1992). The measure was particularly appropriate for the present study because medications used in the management of symptomatic conditions (e.g., analgesics, antidepressants, sedative-hypnotics) were excluded, thus minimizing problems of colinearity between depression status and clinically defined illness in the multivariate analyses. A CDS score for each of the study participants was calculated. The score was calculated at baseline (i.e., March 1, 1994) using records of prescription drug use from the HMO automated pharmacy database for the prior 12 months. The drug benefit, which consisted of a $10 co-pay, was limited to drugs purchased within the program-operated pharmacies. The pharmacy records included details of all prescription drugs filled within the HMO's pharmacies, regardless of whether the cost was more or less than the co-pay. Medications were made available for multimonth periods for enrollees who traveled or lived outside the area part of the year. All respondents to the DIS had been enrolled at the start of the project, March 1, 1993. Thus essentially all prescription drugs purchased by study participants during the 12 months prior to baseline were captured within the pharmacy database. Self-Rated Physical Health Each of the 582 individuals who responded to the DIS telephone interview was mailed a survey on March 1, 1994, to obtain baseline data on health-related quality of life. The response rate was 94% (N = 549). The survey included the MOS Short-form General Health Survey (SF-36) (Stewart, Hays, & Ware, 1988) and the Salamon-Conte Life Satisfaction in the Elderly Scale (LSES) (Salamon, 1988). The SF-36 and LSES are self-administered multi-item survey instruments developed to measure well-being. As our measure of self-rated physical health, we elected to use the response to the LSES query, "Physically I am: unhealthy, somewhat unhealthy, average, healthy, very healthy." This single item measure is very similar to that used in a large majority of previous investigations of factors contributing to self-rated health. We chose the single item from the LSES over the SF-36 overall measure of health perceptions for two reasons. The first was its appropriateness for the hypothesis under investigation. The LSES query is specific to physical health. The SF-36 query refers to health in general, and is therefore potentially confounded by mental health as well as social and role functioning. The second advantage of the LSES query was the appropriateness for use with elderly subjects. The frequency Vol. 39, No. 3, 1999 293 distribution of responses to the SF-36 query, "In general, would you say your health is: excellent, very good, good, fair, poor" revealed a lack of discrimination and skewed distribution; 90% of subjects categorized themselves as good, fair, or poor; only 2% responded excellent. Pain and Physical Function The mailed survey responses to the SF-36 afforded separate measures of pain and physical functioning, two factors that also contribute to self perceptions of physical health (Kennedy et al., 1989; Linn & Linn, 1980; Maddox, 1962; Ware, Davies-Avery, & Donald, 1978; Wells et al., 1989). The pain score was based on two questions: "How much bodily pain have you had during the past 4 weeks?" ("very severe" to "none") and "During trie past 4 weeks how much did pain interfere with your normal work?" ("extremely" to "not at all"). The physical function score was based on 10 questions ranging from whether a person had difficulty bathing and dressing to whether he/she had difficulty participating in vigorous activities such as strenuous sports. Responses ranged from "severe limitations" to "no limitations." Both pain and physical function were scored from zero to 100. A high pain score indicated freedom from pain; a high physical function score indicated increased functioning. Statistical Analysis Univariate associations with self-rated physical health ("unhealthy" equal 1 and "very healthy" equal 5) were tested using chi-square test for sex, Kendall's tau-(3 correlation for depression (DIS 0 = no depression; DIS 1-3 = minor depression, DIS > 4 = serious depression), and Pearson product moment correlation for age, clinically defined illness, pain, and physical function. The correlation between self-rated physical health and clinically defined illness was also stratified by category of depression. Multivariable regression analysis was used to assess the contribution of depression to self-rated physical health, controlling for the other variables. Self-rated physical health was entered as a continuous variable. Depression was entered as two dummy variables, with DIS = 0 as the reference. Sex was entered as a dichotomous variable; age was entered as two dummy variables 75-84 years and 85+ years, with 65-74 years as the reference. Clinically defined illness was entered as a continuous variable. The question of whether the contribution of clinically defined illness to self-rated physical health differs between persons who are depressed and those who are not depressed was assessed by considering interactions between CDS and the two DIS variables. Because the relationships between depression and self-reported pain and physical functioning are not clearly isolated, we began by fitting models without pain and physical functioning, then considered their possible confounding effects. Statistical significance was accepted when p<0.05. Number of Individuals 0 2 4 6 8 10 12 14 16 Chronic Disease Score Figure 1. Distribution of persons by Von Korff and colleagues' Chronic Disease Score (Von Korff et al., 1992). CDS, is provided in Figure 1. The 218 individuals (40%) with no clinically defined illness (CDS = 0) included 12 persons with no pharmacy entries for the 12-month period. Table 1 shows characteristics by categories of selfrated physical health. Responses to the LSES question about self-rated physical health were fairly symmetrically distributed. The proportion of females was similar across all categories (cni square= 0.96, p = 0.92). The association between age and self-rated physical health was not significant (p = 0.145). Overall, selfrated physical health worsened as clinically defined illness increased. Self-rated physical health was also negatively correlated with depression; 69% of indi- Results Five hundred forty-three of the 549 respondents to the general health survey responded to all the questions under consideration. The mean age was 75 ± 6 years; 72% were female. Forty-seven percent (n = 257) had no depressive symptoms (DIS = 0), 4 1 % (n = 222) had minor depression (DIS = 1-3), and 12% (n = 64) had serious depression (DIS > 4). In interpreting these percentages, it is important to remember that study participants were not a random sample of the elderly population (i.e., individuals who scored depressed on the GDS were oversampled). The distribution of clinically defined illness, measured as Table 1. Characteristics by Category of Self-Related Physical Health Somewhat Age, years Mean (SD) % Female Clinically defined illness Mean CDS (SD) Depression % DIS = 0 % DIS = 1-3 % DIS > 4 Freedom from pain Mean (SD) Physical functioning Mean (SD) n = 115 Very Healthy n = 22 Correlation Coefficient 75 (6) 72 74 (6) 69 76 (6) 73 -0.097 a — 5.6 (3.4) 4.1 (3.1) 2.8 (2.4) 2.2 (2.0) -0.40 a * 31 51 18 39 45 16 47 42 11 64 31 5 69 27 4 -0.20 b * 36 (23) 44 (23) 57 (23) 74 (24) 83 (16) 0.51 a * 15 (15) 32 (25) 55 (28) 68 (28) 85 (17) 0.58a* Unhealthy Unhealthy n = 57 n = 167 Average n = 182 76 (6) 70 75 (6) 74 6.8 (3.6) Healthy a Pearson product moment. Kendalls's tau (3. *p < 0.001. b 294 The Gerontologist viduals who rated themselves "unhealthy" exhibited depressive symptoms (51% had 1-3 symptoms and 18% had >4 symptoms) compared to 31% of those who rated themselves "very healthy" who exhibited depressive symptoms (27% with 1-3 symptoms and 4% with >4). Self-rated physical health was positively correlated with both physical functioning and freedom from pain. Additional analyses revealed physical functioning and freedom from pain were both negatively associated with depression (Kendall's tau-|3 = -0.142, p < 0.001, and Kendall's tau-(3 = -0.198, p < 0.001, respectively). Figure 2 reveals the association between self-rated physical health and clinically defined illness for each category of depression. For persons with no depressive symptoms and those with minor depression, self-rated physical health improved significantly as clinically defined illness decreased (Pearson correlation = -0.437, p < 0.001 for DIS = 0; Pearson correlation = -0.392, p < 0.001 for DIS 1-3). For persons with serious depression, however, the inverse association between self-rated physical health and clinically defined illness was not apparent (Pearson correlation = -0.179, p = 0.157). This finding was investigated further. Persons with no depression, those with minor depression, and those with serious depression were compared for clinically defined illness, stratified by self-rated physical health categories: "unhealthy or somewhat unhealthy," "average," and "healthy or very healthy." No significant differences were found with the following exception: As is apparent in Figure 2, among persons who rated themselves "healthy or very healthy," persons with serious depression exhibited higher clinically defined illness than persons with no depression (analysis of variance, combined sum of squares = 33.8, p = 0.037). In this regard, it is important to note the small numbers of persons with serious depression who rated themselves either healthy (n = 6) or very healthy (n = 1). The above univariate findings were consistent with results from multivariable regression in Table 2. The first model was limited to an examination of the main effects of age, gender, clinically defined illness, and depression on self-rated physical health. The results of this model revealed that self-rated physical health did not differ significantly across aee categories, but selfrated physical healtn declinea as clinically defined illness increased.'When controlling for clinically defined illness, both persons with 1-3 depressive symptoms and those with >4 symptoms rated their physical health poorer than did persons with no depressive symptoms. me addition of interactions to the main effects model (Table 2, Model 2) revealed a significant interaction between CDS and DIS > 4. This finding suggests that, for persons with serious depression, the association between self-rated physical health and clinically defined illness is weaker than that observed for persons with no depressive symptoms. But the absence of a significant interaction between CDS and DIS 1-3 (p = 0.20) suggests that the association between selfrated physical health and clinically defined illness did not differ between persons with no depressive symptoms and those with minor depression. Separate analyses were performed to assess the effect of self-reported pain and physical function on the above findings. The results of the full model, which Clinically Defined Illness 4(Mean CDS) 3 Serious Depression Minor Depression No Depression Unhealthy Somewhat Unhealthy Average Healthy Very H§althy Self-rated Physical Health Figure 2. The mean Chronic Disease Score (Von Korff et al., 1992) for individuals within each category of self-rated physical health by depression status. Self-rated physical health categories were defined by responses to the Life Satisfaction in the Elderly Scaie (Salamon, 1988) query, "Physically I am." Depression status was measured using the Diagnostic Interview Schedule (DIS; Robins et al., 1981). Persons with DIS = 0 were defined as not depressed, those with DIS = 1-3 were defined as exhibiting minor depression, and those with DIS > 4 were defined as exhibiting serious depression. Vol.39, No. 3, 1999 295 comorbid depression (Blazer & Houpt, 1979; Connelly et al., 1989; Mulsant et al., 1997; Waxman, McCreary, Weinrit, & Carner, 1985; Wells et al., 1989). This recommendation is supported by our findings for serious depression. However, based on results for DIS = 1-3, a slightly different interpretation may apply for minor depression. It might be speculated that, when a patient reports poor pnysical health in the absence of clinical evidence, the presence of minor depression may reflect other factors that are poorly captured by laboratory tests and diagnostic rubrics (e.g., limitations in physical function and pain). This interpretation is supported by the results when these two variables were added to the main effects model. Certain qualifications must be placed on this interpretation of study findings. Both physical functioning and freedom from pain were assessed with subjective self-report. Analyses revealed that these variables were negatively correlated with the measure of depression. Although it is likely that limitations in functioning and pain contribute to depression, it is also possible that persons who are depressed report more limitations or more pain. In addition, although these baseline data were collected as part of a longitudinal study, the DIS diagnostic measure of depression was assessed only at baseline. Thus, sequential measures of depression were not available; the cross-sectional study design was generally uninformative about underlying mechanisms or sequence of events. It should also be emphasized that this was not an epidemiologic study, undertaken with the intent of providing population-based estimates. This study was limited to HMO participants enrolled in a capitated Medicare package. The generalizability to other populations, especially non-elderly populations, is not known. This was emphasized by our finding that, after adjusting for clinically defined illness, pain, and physical functioning, persons age 85 years and older rated themselves healthier than persons age 65-74 years. If older adults are more reluctant than younger adults to complain, either about physical problems or depression, our finding that minor depression was not significantly associated with self-rated health when other variables were in the model (Table 2, Model 3) may not hold for non-elderly populations. The generalizability of study findings is also tempered by the study design; persons who screened positive for depression and those who were on anticlepressant treatment were intentionally oversampled. There was an observed response bias toward younger, female, less depressed respondents. The advantages of the present study over most previous investigations lie largely with the instruments for measuring depression and clinically defined illness. Measures of depression in the earliest studies (Friedsam & Martin, 1963; Streib et al., 1958; Tessler & Mechanic, 1978) were often unique to the individual study, and the constructs being measured were not always clearly defined. More recent studies used standardized instruments with documented evidence of reliability and validity; however, with few exceptions (McHorney et al., 1993; Ormel et al., 1998; Wells et al., 1989) the instruments employed by these studies included de- Table 2. Multivariable Regression Analyses of Factors Associated With Self-Rated Physical Health Model 1 Independent Variables Age 75-84 years 85+ years -0.055 (-0.177) -0.059 (-0.126) 0.000 (0.003) 0.001 (0.004) Clinically defined illnesss - 0 . 3 8 0 * * * (low to high CDS) (-0.115) Depression % DIS = 1-3 % DIS > 4 2 3 0.014 (0.030) 0.093** (0.338) -0.466*** (-0.141) -0.189*** (-0.057) -0.136** (-0.282) -0.199** (-0.415) -0.055 (-0.114) -0.170*** (-0.542) 0.304*** (-0.966) -0.084* (-0.267) CDS x DIS 1-3 — 0.103 (0.030) — CDS x DIS > 4 — 0.176* (0.100) — Freedom from pain (poor to good) — — 0.217*** (0.008) Physical functioning (poor to good) — — 0.388*** (0.010) Adjusted R2 0.19 0.20 0.42 Note: Standardized coefficients are presented with unstandardized coefficients in parentheses. *p < 0.05; **p < 0.01; * * * p < 0.001. considered all main effects, are shown in Table 2, Model 3. After adjusting for pain and physical function, persons age 85 years and older rated themselves healtnier than persons age 65-74 years. The negative association between self-rated physical health and serious depression (DIS >4) remained significant. But the independent association between minor depression (DIS 1-3) and self-rated physical health was no longer apparent (p = 0.12) when freedom from pain and freedom from physical function were added to the model. Discussion This study of elderly members of an HMO found self-rated physical health was significantly and independently associated with minor depression, serious depression, and clinically defined illness. The strength of the negative association between self-rated physical health and clinically defined illness was similar for persons with no depression and those with minor depression. The association was weaker for persons with serious depression. When self-reported pain and physical function were added to the main effects model, the significant association between self-rated physical health and minor depression was no longer apparent. The well-demonstrated association between depression and self-rated health has led to heightened clinical awareness about the need to detect and treat 296 The Gerontologist pression due to physical symptoms, thus the independent contribution of each to self-rated health is difficult to determine. The DIS measure of depressive symptoms employed in the present study has an advantage in this respect; subjects are queried following each positive response as to whether the symptom was due to physical illness, injury, drugs, medication, or alcohol. Symptoms due to these conditions are not counted toward the depressive symptoms score. Measures of physical illness in a majority of previous studies consist of self-reported number of disability days, number of medications, or number of specified medical conditions (Mulsant et al., 1997; Ormel et al., 1998; Shadbolt, 1997; Wells et al., 1989). The limitations of self-report with respect to knowledge and recall bias are well demonstrated (Roberts, Bergstralh, Schmidt, & Jacobsen, 1996). But most importantly for studies such as this, self-reports of physical illness are dependent upon subjective perceptions (Tessler & Mechanic, 1978). The present study employed a standardized global measure of clinically defined illness that was based on data obtained from a pharmacy database. The measure was therefore more objective than measures based on self-report. It should be noted, however, that although the instrument was standardized, assignment was not (i.e., whether an individual was prescribed medication was determined in part by whicn clinician was seen and whether, when, and how often the subject presented for care). A more reliable, objective assessment of clinically defined illness would have been afforded with standardized physical examinations of all study subjects performed contemporaneous with the assessment of depression and self-rated health. Physical examinations were in fact used to obtain measures of clinical illness in some of the earlier investigations (Friedsam and Martin, 1963; Maddox, 1962; Streib et al., 1958). However, with rare exception (Linn & Linn, 1980), these examinations were not standardized and the reliability of the estimates was not assessed. Additionally, clinically defined illness based on physical examinations was typically limited to a dichotomous distinction between ill ana not ill. The measure used in the present study allowed for a range of illness ratings. It was not limited to counts of diagnoses, medications, or disability days, but was weighted to incorporate disease severity and chronicity. The question of whether the association between self-rated health and physical illness differs between persons who are and are not depressed has been addressed with at least one other recent study. In an investigation of factors contributing to self-rated health in older adults, Mulsant and colleagues (1997) tested for and found no interaction between their measures of physical illness and minor depression. In contrast to findings presented here, Mulsant and colleagues also found no interaction between physical illness and serious depression. Also, minor depression remained significantly associated with self-rated health, after adjusting for limitations in functioning. The Mulsant and colleagues study differs from ours in that they includea sociodemographic variables not available in our study, physical illness was assessed by self-report, their measure of depression included symptoms due Vol.39, No. 3, 1999 297 to physical illness, and our model included a measure of pain. In conclusion, the significant association between depression and self-rated physical health, independent of clinically defined illness, reported here is consistent with numerous other reports. It is generally supportive of the recommendation that patients with somatic complaints for which there is no objective clinical evidence should be screened for depression. However, the findings also emphasize the complexity of the relationship between physical and mental illness (Calahan, Kesterson, & Tierney, 1997) and serve as a caveat. Persons with serious depression may rate their health worse or better than clinical evidence suggests. In addition, when a patient's report is inconsistent with clinical evidence, evidence of minor depression should not preclude further investigation of physical explanations. References American Psychiatric Association. Diagnostic and Statistical Manual of Mental Disorders (3rd ed., revised). (1987). Washington, DC: Author. Barsky, A. J., Wyshak, C , & Klerman, G. C. (1986). Medical and psychiatric determinants of outpatient medical utilization. Medical Care, 24, 548-560. Blazer, D. C , & Houpt, J. L. (1979). Perception of poor health in the healthy older adult, journal of the American Geriatrics Association, 27, 330-334. Brink, T. A., Yesavage, J. A., Lum, O., Heersema, P., Adey, M., & Rose, T. L. (1982). Screening tests for geriatric depression. Clinical Cerontologist, 1, 37-44. Callahan, C. M., Kesterson, J. C , & Tierney, W. M. (1997). Association of symptoms of depression with diagnostic test charges among older adults. Annals of Internal Medicine, 126, 426-432. Connelly, J. E., Philbrick, J. T., Smith, C. R., Kaiser, D. L, & Wymer, A. (1989). Health perceptions of primary care patients and the influence on health care utilization. Medical Care, 27, S99-S109. Dasbach, E. J., Klein, R., Klein, B. E. K., & Moss, S. E. (1994). Self-rated health and mortality in people with diabetes. American Journal of Public Health, 84, 1775-1779. Eaton, W. W., & Kessler, L. G. (1981). Rates of symptoms of depression in a national sample. American Journal of Epidemiology, 114, 528538. Friedsam, H. J., & Martin, H. W. (1963). A comparison of self and physicians' health ratings in an older population. Journal of Health and Human Behavior, 4, 179-183. Garrard, J., Rolnick, S. J., Nitz, N. M., Luepke, L, Jackson, J., Fischer, L. R., Leibson, C , Bland, P. C , Henrich, R., & Waller, L. (1998). Clinical detection of depression among community based elderly people with self-reported symptoms of depression. Journals of Gerontology, Medical Sciences, 53A, M 9 2 - M 1 0 1 . Kennedy, G. J., Kelman, H. R., Thomas, C , Wisniewski, W., Metz, H., & Bijur, P. E. (1989). Hierarchy of characteristics associated with depressive symptoms in an urban elderly sample. American Journal of Psychiatry, 146, 220-225. LaRue, A., Bank, L, Jarvik, L, & Hetland, M. (1979). Health in old age: How do physicians' ratings and self-ratings compare? Journal of Gerontology, 34, 687-691. Linn, B. S., & Linn, M. W. (1980). Objective and self-assessed health in the old and very old. Social Science and Medicine, 14A, 311-315. Maddox, G. L. (1962). Some correlates of differences in self assessments of health status among the elderly. Journal of Gerontology, 17, 180185. McHorney, C. A, Ware, J. E., Jr., & Raczek, A. E. (1993). The MOS 36Item Short-Form Health Survey (SF-36): II. Psychometric and clinical tests of validity in measuring physical and mental health constructs. Medical Care, 31, 247-263. Mulsant, B. H., Ganguli, M., & Seaberg, E. C. (1997). The relationship between selfcfated health and depressive symptoms in an epidemiologic sample of community-dwelling older adults. Journal of the American Geriatrics Society, 45, 954-958. Ormel, J., Kempen, G. I. J. M., Deeg, D. J. H., Brilman, E. I., van Sonderen, E., & Relyveld, J. (1998). Functioning, well-being, and health perception in late middle-aged and older people: Comparing the effects of depressive symptoms and chronic medical conditions. Journal of the American Geriatrics Society, 46, 39-48. Roberts, R. O., Bergstralh, E. J., Schmidt, L., & Jacobsen, S. J. (1996). Comparison of self-reported and medical record health care utilization measures. Journal of Clinical Epidemiology, 49, 989-995. Robins, L. N., Helzer, J. E., Croughan, J., & Ratcliff, K. S. (1981). National Institute of Mental Health Diagnostic Interview Schedule: Its history, characteristics and validity. Archives of General Psychiatry, 38, 381 — 389. Rodin, J., & McAvay, C. (1992). Determinants of change in perceived health in a longitudinal study of older adults. Journal of Gerontology: Psychological Sciences , 47, P3 73-384. Salamon, M. J. (1988). Clinical use of the life satisfaction in the elderly scale. Clinical Gerontologist, 8, 45-54. Schneider, L. S., Reynolds, C. F., Lebowitz, B. D., & Friedhoff, A. J. (1994). Diagnosis and treatment of depression in late life: Results of the NIH Consensus Development Conference. Washington, DC: American Psychiatric Press, Inc. _,,. Shadbolt, B. (1997). Some correlates of self-rated health for Australian women. American Journal of Public Health, 87, 951-956. Stewart, A. L, Hays, R. D., & Ware, J. E. jr. (1988). The MOS short-form general health survey. Reliability and validity in a patient population. Medical Care, 26, 724-735. Streib, C. F., Suchman, E. A., & Phillips, B. S. (1958). An analysis of the validity of health questionnaires. Social Forces, 36, 223-232. Tessler, R., & Mechanic, D. (1978). Psychological distress and perceived health status. Journal of Health and Social Behavior, 19, 254-262. Von Korff, M., Wagner, E. H., & Saunders, K. (1992). A chronic disease score from automated pharmacy data. Journal of Clinical Epidemiology, 45, 197-203. Ware, J. E. Jr., Davies-Avery, A., & Donald, C. A. (1978). Conceptualization and Measurement of Health for Adults in the Health Insurance Study: Volume V. General Health Perceptions. Santa Monica, CA: RAND Corp. Waxman, H. M., McCreary, C , Weinrit, R. M., & Carner, E. A. (1985). A comparison of somatic complaints among depressed and non-depressed older persons. The Gerontologist, 25, 501-507. Wells, K. B., Burnam, M. A., Leake, B., & Robins, L. N. (1988). Agreement between face-to-face and telephone administered versions of the depression section of the NIMH diagnostic interview schedule. journal of Psychiatric Research, 22, 207-220. Wells, K. B., Stewart, A., Hays, R. D., Burnam, M. A., Rogers, W., Daniels, M., Berry, S., Greenfield, S., & Ware, J. (1989). The functioning and well-being of depressed patients: Results from the medical outcomes study. Journal of the American Medical Association, 262, 914-919. Williams, J. W. Jr., Kerber, C. A., Mulrow, C. D., Medina, A., & Aguilar, C. (1995). Depressive disorders in primary care: Prevalence, functional disability, and identification. Journal of General Internal Medicine, 10, 7-12. Yesavage, J. A., Brink, T. L, Rose, T. L, Lum, O., Huang, V., Adey, M., & Leirer, V. O. (1982). Development and validation of a geriatric depression screening scale: A preliminary report. Journal of Psychiatric Research, 17, 37-49. Received September 15, 1998 Accepted March 12, 1999 INTERGENERATIONAL AND AGING, AGRICULTURAL AND EXTENSION EDUCATION PENN STATE seeks applicants for a tenure-track assistant/ associate professor starting October 1999, or as negotiated. Position has 75% extension and 25% research responsibilities in the area of adult development and aging that include providing statewide leadership for extension programs; strengthening intergenerational relationships and competencies in children, youth, and families across the life span; improving family care of aging and disabled persons; promoting opportunities of intergenerational relationships in civic and family settings; developing a funded research program to support extension programming; and contributing to the department's strategic plan. Qualifications include a doctorate in gerontology, human development and aging, family and consumer sciences, developmental education, family sociology or closely related interdisciplinary fields. Candidates should have a strong background in intergenerational and extension education as well as applied research. Salary is competitive and commensurate with background and experience. An attractive benefits package is available. Applicants should submit a letter of application, resume, academic transcripts, and names and addresses of three professional references to: Marilyn M. Furry, Search Committee Chair, 323C Agricultural Administration Building, The Pennsylvania State University, University Park, PA 16802. Closing date is August 1, 1999, or until a qualified candidate is identified. AA/EOE. 298 The Gerontologist
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