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. Author manuscript; available in PMC: 2011 Oct 1.
Published in final edited form as: J Pain. 2010 Apr 24;11(10):958–964. doi: 10.1016/j.jpain.2010.01.003

Pain and Functioning of Rheumatoid Arthritis Patients based on Marital Status: Is a Distressed Marriage Preferable to No Marriage?

Jennifer Barsky Reese 1, Tamara J Somers 2, Francis J Keefe 2, Angelia Mosley-Williams 3, Mark A Lumley 4
PMCID: PMC2910805  NIHMSID: NIHMS171206  PMID: 20418185

Abstract

Relationships may influence adjustment to chronic pain conditions like rheumatoid arthritis (RA). We examined how both marital status and marital adjustment were related to pain, physical disability, and psychological disability in 255 adults with RA. Among married participants (n = 158), better marital adjustment (assessed using the Locke-Wallace Marital Adjustment Scale) was correlated with less pain, physical and psychological disability (all p values < .05). Married participants were divided into distressed (n = 44) and non-distressed (n = 114) subgroups and compared with unmarried participants (n = 97). Controlling for demographics and disease severity, unmarried participants had higher affective pain (p = .009) and higher psychological disability (p = .02) than only the non-distressed married participants, but unmarried participants did not differ from distressed married participants. These findings suggest that being married in itself is not associated with better health in RA, but that being in a well-adjusted or non-distressed marriage is linked with less pain and better functioning.

Perspective

This study examined relationships of marital status and marital adjustment to pain and physical and psychological disability in rheumatoid arthritis (RA). Findings underscore the importance of considering not only marital status but also degree of marital adjustment in RA and may inform clinical interventions in this population.

Keywords: rheumatoid arthritis (RA), marital status, marital adjustment, pain, psychological disability

Introduction

Interpersonal relationships generally, and marital relationships specifically, may be key to understanding adjustment to chronic pain conditions 19 such as rheumatoid arthritis (RA). The physical and psychological effects of RA, which is characterized by a progressive, often unpredictable course of joint pain and increasing disability, both influence and are influenced by the interpersonal relationships of those living with this condition. 11 Rheumatoid arthritis can strain one’s marital relationship because of increased limitations on activities, changes in responsibilities, and emotional stress. 18 Further, when a patient’s spouse is unable to provide social, instrumental, or emotional support, the person with RA may experience higher levels of pain and dysfunction. 8,16 Several studies have found that unmarried patients with RA exhibit greater disease progression and disability than their married counterparts. 39,41

The available literature, however, needs to be advanced in several ways. First, studies that have examined the association between marital status and disability in arthritis 39,41 have usually not considered the adjustment of the marital relationship. The quality of marriage, or marital distress, may be more important than simply whether or not one is married. To our knowledge, distressed married, non-distressed married, and unmarried groups have not been compared on domains of function in RA. Second, relationship research in RA often lacks a comprehensive examination of health and function; measures of physical disability and psychological disability should be included in addition to pain. 7 Considering that psychological disability is twice as common in RA as in the general population 12 and is related to worse pain, higher functional disability, and higher rates of mortality, 2,9 this may be an especially important domain to consider in this population. Without a comprehensive set of measures, it is difficult, if not impossible, to get a full picture of the link between marital variables and health status. Third, it is important to control for potential confounding variables that are often related to marital status, marital adjustment, and health status in RA. 36,41 Age, gender, race, and education are often associated with pain, physical disability, and psychological disability in people with arthritis, 4,10,25,39,40,44 and these demographic variables often covary with marital variables. Other recent work in this area has included similar lists of control variables. 19 Finally, pain and adjustment are tied to the physiological severity of the disease, and analyses of pain and disability should also control for disease severity.

The aims of this study were: a) to examine the association between marital adjustment and a comprehensive set of health status measures in married participants with RA; and b) to examine differences in health status in RA patients who are in distressed marriages versus those in non-distressed marriages versus those who are unmarried. In addition to demographics, disease severity was included as a covariate in analyses because of its potential causal influence on pain, physical disability, and psychological disability. We hypothesized that a) better marital adjustment would be associated with better health status; and b) marital group differences would be amplified when considering marital adjustment; that is, people in non-distressed marriages would have better health status (i.e., lower sensory and affective pain, physical disability, and psychological disability) than both participants in distressed marriages and those who are unmarried.

Materials and Methods

Participants and Procedures

The study sample consisted of 255 patients with RA with a mean age of 55.25 (SD = 12.12). In the sample, 207 patients (81.2%) were female, and 172 were Caucasian (67.5%), 73 were African-American (28.6%), 4 were Asian (1.6%), 2 were American Indian/Alaskan Native (1%), and 4 identified as “Other” (1.6%). In this sample, 144 participants (56.5%) had a high school education or below, 62 (24.3%) had a college degree, and 43 (16.9%) had a graduate degree. In the sample, 158 patients (62.0%) were married, and 97 (38.0%) were unmarried.

This study used data from participants who were entering a randomized in a clinical trial of expressive writing and coping skills training in RA patients (#NCT00088764), and the data presented in this paper were collected at the baseline evaluation, prior to randomization. (Although 264 patients were randomized, the Locke-Wallace Marital Adjustment Scale was missing from nine married participants, who were dropped from analyses, leaving 255 for the current sample.) Participants were recruited in approximately equal numbers from metropolitan Detroit, Michigan and the catchment area of Duke University Medical Center in North Carolina. All participants provided informed consent. This study was approved by the Wayne State University Human Investigation Committee and the Duke University Health System Institutional Review Board.

Participants were given a physical examination by study rheumatologists to determine if they met eligibility criteria and were included only if they were diagnosed with RA according to 1987 American College of Rheumatology criteria and reported RA pain or stiffness in the past week (thereby excluding people with RA in full remission). Patients were excluded if they a) had a primary rheumatic disorder other than RA or another organic disease that significantly affected functioning (e.g., COPD, cancer); b) were known to have or were judged by the physician to have cognitive impairment (e.g., dementia, retardation, psychosis) or illiteracy; c) were currently in a formal behavioral pain management program; d) had experienced major stressful live changes in the prior six months; or e) were unable to ambulate without walking aides or were physically unable to write. All patients provided demographic information and completed questionnaires assessing pain, physical disability, and psychological disability, and—for patients who were married—marital adjustment. Physicians provided ratings of disease severity.

Measures

Marital Adjustment

The Locke-Wallace Marital Adjustment Scale 27 is one of the most widely used measures of marital and relationship adjustment and has been used in other studies of arthritis. 28,43 It includes 15 questions that assess overall level of happiness, level of agreement on a number of issues, and ways of handling disagreements. This measure was completed only by patients who were married. Scores in the current sample ranged from 22 to 156, and the scale demonstrated good internal consistency (Cronbach’s alpha=.74). We used the recommended cut-off score of 100 on the Locke-Wallace to classify married participants as either distressed (<100) and non-distressed (≥100). 27 The married participants in this sample (n = 158) had a mean of 112.71 (SD = 27.70).

Physician’s global rating of disease activity

Rheumatologists at both study sites participated in standardized training to conduct a joint evaluation as part of their exam, blind to other study measures. This rating is based on a full 32-joint examination for tenderness and swelling conducted by the physician as part of the examination. The physician then used a visual analog scale (VAS) to rate each participant’s disease activity. The VAS is a horizontal line measuring 100 mm with anchors of “no disease activity” to “high disease activity.” Following the participant’s physical exam, the rheumatologist marked the line at the point representing their global rating of the participant’s disease activity. The VAS score was determined by measuring the distance, in mm, from the beginning of the line to the marked point. Similar methods have been used in past studies.1 This sample had a mean of 1.39 (SD = 0.80) on disease activity.

Pain

The McGill Pain Questionnaire (MPQ) 32 is one of the most widely used and validated self-report pain questionnaires and has been used in a number of studies of RA. 14,33 The scale consists of 20 groups of pain descriptors, and patients were instructed to circle one word in each group (or none, if no word applied) that best described their current pain. A pain rating index (PRI) for the sensory and affective dimensions of pain was calculated by determining the mean of the numerical value assigned to the selected words (with a value of zero entered for each group if no word was selected). The sensory subscale captures the spatiotemporal and physical characteristics of the pain, whereas the affective subscale captures the unpleasantness of the pain. In this study, we chose to analyze only these two scales, given that they are the primary dimensions of pain and have the highest reliability in this measure (due to having multiple items). This sample had mean sensory and affective pain scores of 1.31 (SD = 0.75) and 0.43 (SD = 0.45), respectively.

Physical and psychological disability

The Arthritis Impact Measurement Scales-2 (AIMS2) 31 is a widely-used self-report questionnaire designed to measure health status in arthritis patients. The AIMS2 has been recommended by the Association of Rheumatology Health Professionals (ARHP), in collaboration with the American College of Rheumatology as a reliable and valid tool to assess patient outcomes in rheumatology research. 20. In this study, we used the physical disability and psychological disability summary scales. Summary scales range from 1 to 5 with higher scores indicating greater disability. The physical disability scale is a composite of the following subscales: mobility, walking, arm function, hand function, self-care tasks, and household tasks. The psychological disability scale is a composite of mood and tension subscales. Reliability and validity of the scales have been demonstrated across a number of arthritis populations. 21,30 The physical and psychological disability subscales demonstrated very good internal consistency in the current sample (Cronbach’s alpha = .94 and .91, respectively). This sample had mean physical and psychological disability scores of 1.91 (SD = 0.66) and 2.17 (SD = 0.69), respectively.

Data Analyses

We first performed correlational analyses to examine the bivariate relationships among demographic (i.e., age, gender, race, education) and health status dependent variables (e.g., sensory and affective pain, physical disability, psychological disability). (Race was coded as into a dichotomous variable—Caucasian or minority [coded 1 or 2]—because the vast majority of non-Caucasian patients were African American, but 10 [3.9%] were of some other race/ethnic group—a number too small to separately analyze, but too large to simply drop from analyses). To test our first hypothesis, we first conducted a series of zero-order correlations between marital adjustment (as a continuous variable) and health status variables in the married participants. Next, we conducted partial correlations between marital adjustment and these health status variables, partialing out demographic variables (i.e., age, gender, race, education), and disease severity.

To test our second hypothesis, we split the married patients into distressed and non-distressed subgroups based on the Locke-Wallace Marital Adjustment Scale using the validated cut-off score, 27 and we compared married non-distressed, married distressed, and unmarried patients on demographic variables and disease severity using chi-square tests or ANOVAs. We then compared these three groups on dependent variables using analysis of variance (ANOVA). Post-hoc tests were conducted to examine differences among the three groups using the Sidak corrections for multiple comparisons. Finally, we compared these three marital groups on health variables using analysis of covariance (ANCOVA) controlling for demographic variables and disease severity.

Results

Correlational Analyses Between Control and Health Status Variables

Table 1 presents the correlations among control variables and health status variables. Younger age was associated with higher sensory pain, higher affective pain, and greater psychological disability. Minority racial status was associated with higher sensory pain, affective pain, physical disability, and psychological disability. Less education was associated with greater physical disability. Finally, as expected, greater disease severity was linked with greater sensory and affective pain as well as greater physical and psychological disability.

Table 1.

Correlational relationships among control and health status variables (N = 255).

Gender Race Education Disease Severity Sensory Pain Affective Pain Physical Disability Psych Disability
Age .01 −.03 −.12 .05 −.32*** −.26*** −.09 −.34***
Gender - .08 .01 −.06 .03 −.03 .04 −.04
Race - −.04 .07 .19** .13* .31*** −.04
Education - −.13* −.05 −.11 −.19** −.11
Disease Severity - .18** .22*** .47*** .14*
Sensory Pain - .65*** .44*** .49***
Affective Pain - .42*** .50***
Physical Disability - .46***
Psychological Disability -
*

p < .05,

**

p < .01,

***

p < .001

Gender was coded 0 = male and 1 = female. Race was coded 1 = Caucasian and 2 = minority. Education was entered as years of education.

Correlational Analyses Between Marital Adjustment and Health Status Variables among Married Participants

Table 2 shows data for married participants only. Zero-order correlations indicated that better marital adjustment was significantly associated with better functioning on all health status variables, with correlations ranging from r = −.25 to − .40. After controlling for the four demographic variables and disease severity, better marital adjustment remained significantly associated with psychological disability and marginally associated with less affective pain, but not sensory pain and physical disability.

Table 2.

Zero-order and partial correlations between marital adjustment and health status variables in the married participants (n = 158).

Variable Zero-order r Partial r
Sensory Pain −.25** −.09
Affective Pain −.28*** −.15
Physical Disability −.25** −.06
Psychological Disability −.40*** −.29***

p<.10,

*

p<.05,

**

p<.01,

***

p<.001

Note: Partial correlation coefficients controlled for demographics (age, gender, race, and education) and disease severity.

Comparisons among Distressed Married, Non-distressed Married, and Unmarried Participants

Among the 255 participants, 44 (17.3%) were classified as “distressed married”, 114 (44.7 %) were classified as “non-distressed married”, and 97 (38.0%) were unmarried. Table 3 presents the means, SDs, and test statistics for the covariates and health status measures for these three groups. The three groups did not differ significantly on age or education (both p values > .50). The three groups differed significantly on gender, with fewer males in the unmarried group (8.3%) than either the non-distressed married group (25.4%) or the distressed married group (25.0%; χ2 = 11.46; p = .003). The three groups also differed significantly on racial status, with fewer minority participants in the non-distressed married group (16.7%) than either the distressed married group (43.2%) or the unmarried group (46.4%; χ2 = 23.83; p < .001). The three groups differed marginally on disease severity, F(2, 252) = 2.81, p = .06, with post-hoc tests showing a trend toward higher disease severity in distressed as opposed to non-distressed married participants (p = .07).

Table 3.

Differences among unmarried, total married, distressed married, and non-distressed married participants on control variables and health status variables.

Variable Total Married (n = 158) Non-Distressed Married (n =114) Distressed Married (n = 44) Unmarried (n = 97) F value χ2 value
Covariates
Age 54.89 (12.06) 55.49 (12.12) 53.32 (11.89) 55.85 (12.24) 0.70 -
Education 14.76 (2.58) 14.83 (2.67) 14.58 (2.36) 14.45 (2.47) 0.55 -
Disease Severity n (%) 1.36 (0.77) 1.27 (0.67) 1.59 (0.95) 1.43 (0.85) 2.81 -
Female Gender 118 (74.7%) 85 (74.6%) 33 (75%) 89 (91.8%) - 11.46**
Caucasian 120 (75.9%) 95 (83.3%) 25 (56.8%) 52 (53.6%) - 23.83***

Dependent Variables
Sensory Pain 1.22 (0.72) 1.18 (0.73) 1.33 (0.70) 1.45 (0.77) 3.34* -
Affective Pain 0.37 (0.41) 0.32 (0.37) 0.49 (0.48) 0.52 (0.49) 6.19** -
Physical Disability 1.87 (0.67) 1.80 (0.66) 2.03 (0.69) 1.97 (0.63) 2.67 -
Psychological Disability 2.10 (0.67) 2.00 (0.60) 2.36 (0.76) 2.28 (0.71) 6.50** -
*

p < .05,

**

p < .01,

***

p < .001

Means are presented for all variables except gender and ethnic status.

Gender was coded 0 = male and 1 = female. Race was coded 1 = Caucasian and 2 = minority. Education was entered as years of education.

The mean marital adjustment score for the total married group (M = 112.71; SD = 27.70) fell within the non-distressed range; the mean marital adjustment score for non-distressed participants was 126.91 (SD = 14.61) and for the distressed group was 75.89 (SD = 17.84). The three groups differed significantly on sensory pain, F(2, 252) = 3.34, p = .04, affective pain, F(2, 252) = 6.19, p = .002, and psychological disability, F(2, 252) = 6.50, p = .002. Post-hoc tests showed that unmarried participants had higher sensory pain and affective pain than non-distressed married participants (p = .03 and p = .003, respectively). There was a trend toward higher affective pain in distressed married participants compared with non-distressed married participants (p = .09). Both distressed married (p = .009) and unmarried participants (p = .01) had higher psychological disability than non-distressed married participants. The three groups differed marginally on physical disability, F(2, 252) = 2.67, p = .07. Although the ANOVA was not significant, non-distressed married participants had somewhat lower physical disability than both distressed married participants (p = .15) and unmarried participants (p = .20), who were similar to each other.

Next, ANCOVAs were run to examine differences among distressed married, non-distressed married, and unmarried participants in the four health status variables, after controlling for demographic variables and disease severity. The three participant groups continued to differ on affective pain, F(2, 247) = 4.83, p = .009, with unmarried participants having higher affective pain than non-distressed married participants (p = .006), but unmarried and distressed married groups did not differ (p = .52). Psychological disability also differed among groups, when controlling for demographics and disease severity, F(2, 247) = 4.44, p = .01, with unmarried participants having higher psychological disability than non-distressed married participants (p = .02); again, unmarried and distressed married groups did not differ (p = 1.00). Finally, the three groups did not differ significantly on sensory pain (p = .12), or physical disability (p = .94), after controlling for demographics and disease severity.

Discussion

Close relationships such as marriage are increasingly recognized as important to health and functioning in RA and other chronic pain conditions. 19 Research, however, has not examined how both marital status and marital adjustment are related to various domains of functioning in RA. In this study, we compared the health status of people with RA as a function of both marital status—that is, married or unmarried—and of level of marital adjustment. We differentiated the married patients into those with distressed or non-distressed marriages to determine the role of marital adjustment on RA health status. In general, we found that although marital status is related to RA health status, the level of adjustment in the marriage is more important to consider than simply whether or not one is married.

Our first hypothesis, that is, that marital adjustment would be associated with better health status, was generally supported. Among married participants, better marital adjustment was associated with less psychological disability and marginally less affective pain after controlling for age, gender, race, education, and disease severity. Thus, married people with RA who have low levels of marital adjustment may be at risk for psychological disability and higher pain relative to those who have high levels of marital adjustment.

Findings from analyses comparing three groups based on marital status and level of marital adjustment generally supported initial hypotheses; non-distressed married participants tended to have better health than both distress married and unmarried participants. On both affective pain and psychological disability, unmarried participants had worse functioning, but only when compared with married participants who were in non-distressed marriages. In contrast, unmarried participants were similar to participants in distressed marriages on all measures. Although effects on some measures (i.e., sensory pain, physical disability), were attenuated when controlling for confounds, these findings suggest strongly that being married may have benefit for health status when considered in the context of a well-adjusted, or at least not distressed, marriage. 34 Research has traditionally noted that being married confers benefits for one’s mental and physical health because it provides steady and reliable companionship, emotional intimacy, sexual partnership, and a buffer against ongoing stress. 8,16 Among those with RA, poorer quality of the marital relationship has been linked to higher pain 6,40 and psychological distress. 7,35,38 Conversely, patients with RA who experience positive interpersonal relationships report less pain and psychological distress. 11 Consistent with prior findings, this study suggests that that the association between marital status and health status depends on the quality of the marriage; only being in a well adjusted marriage is linked with better health status, whereas being in a distressed or low adjustment marriage is similar to being unmarried.

One of the most interesting findings of the current study was that of the strong link between marital adjustment and health status variables tapping into affective functioning (i.e., affective pain and psychological disability). These findings are consistent with prior studies showing that higher marital quality is associated with better mental health in RA 7,35,38 and that current marital status is strongly associated with depression. 19 That marital quality was related most strongly to psychological disability and affective pain, a construct that assesses pain unpleasantness or emotional qualities of patients’ pain, suggests that the marital relationship may play a particularly strong role in influencing patients’ suffering; that is, the affective or emotional experience of distress associated with their pain. 15 Having a high quality marital relationship may make the disease more emotionally tolerable and thereby reduce the affective components of patients’ pain and disability. Conversely, poor marital adjustment or being unmarried may increase stress 8 or hamper adaptive coping, as well as influence whether patients engage in maladaptive health behaviors or avoid positive health behaviors—including appropriate medical care—all of which could lead to worse pain and suffering.

This study has several limitations. First, the cross-sectional nature of this study precludes determining the direction of these effects. For instance, although it is possible that marital adjustment has an impact on health status, the opposite causal direction is also possible. Having worse pain and mental health can make it difficult for individuals to enter into and remain in a marriage, and may contribute to poor marital adjustment. A bidirectional relationship between marital distress and functioning is most likely. 3,13 Second, this study did not include non-married individuals in close, committed partnered relationships in the “married group,” and did not assess same sex relationships, and future research should do this. Third, this study did not examine gender differences in how marital status or marital quality might be related to health status. The relatively small number of men, particularly unmarried men, in this sample precluded such analyses. There are a number of studies showing that simply being married may be more protective of health for men than women. 5,16 Yet, marital quality, rather than just marital status, may be more important to women, 17 and women have been found to have greater physiological reactivity to marital stress than do men. 26 Still other studies have found no gender differences in health benefits of marriage. 37,42 Thus, this complicated picture of the role of gender, marital status, marital quality and health needs further study.

Longitudinal studies could clarify how marital status and marital adjustment affect disease and health status. Research might examine the effects of shifts in marital status (i.e., marriage, separation and divorce, widowhood, and remarriage) as well as changes in marital adjustment on RA severity and functioning. One interesting idea would be to track RA status prior to and following loss of a relationship. Recently, Hughes and Waite 19 found that marital disruption was related to a greater number of chronic conditions, reduced mobility, poorer physical health, and worse depression in a large population sample, with particular evidence for the long-term, cumulative effects of marital disruption on chronic conditions and mobility limitations. Because that study did not focus on patients with chronic pain or RA, it is difficult to know whether these findings would be similar for RA patients. Although those authors did not find that the cause of marital dissolution (i.e., widowhood, divorce) was a key factor in predicting health, it is possible that the nature of a marriage’s dissolution might be differentially related to health status when considering patients with chronic conditions such as RA; for such patients, leaving a poor marriage through divorce might provide health benefits, whereas losing a good marriage due to the death of a spouse could be damaging to health. It would also be valuable to know whether relationship-enhancing psychosocial interventions would lead not only to improvements in marital adjustment but also in pain and disability. Finally, it may also be useful to examine whether smaller fluctuations in marital adjustment stemming from events such as positive or negative interactions would also influence RA severity and functioning.

A key implication of the current study is that simply using marital status as an indicator of the presence of social support may be inadequate; clinicians need to consider the level of adjustment or distress in the relationship. We hope that studies such as the current one will lead to the development of novel psychosocial treatments that adequately address relationship issues for RA patients and their partners. Recently, several studies have shown the potential for spouse-assisted and couples’ interventions to improve disease management and outcomes (e.g., pain, psychological distress) in arthritis populations. 22,23,24,29 Yet such interventions do not directly target the relationship quality. Based on the current findings, we propose that psychosocial interventions in RA might be improved by including modules that target the marital relationship directly by, for example, providing training in effective communication and behavioral and cognitive skills taken from couples’ therapy (e.g., joint engagement in enjoyable activities). Such interventions might be of particular benefit to RA patients in troubled marriages. We predict that such interventions will not only improve marital adjustment but also improve health and functioning in RA.

Acknowledgments

This study was funded by NIH grant R01 AR049059, and writing of the manuscript was supported in part by National Institute of Mental Health Clinical Research Training in Geriatric Mood Disorders, Grant (MH070448). There are no conflicts of interest on the parts of any of the authors.

Footnotes

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References

  • 1.Anderson JJ, Felson DT, Meenan RF, Williams HJ. Which traditional measures should be used in rheumatoid arthritis clinical trials? Arthritis Rheum. 1989;32:1093–1099. doi: 10.1002/anr.1780320907. [DOI] [PubMed] [Google Scholar]
  • 2.Ang DC, Choi H, Kroenke K, Wolfe F. Comorbid depression is an independent risk factor for mortality in patients with rheumatoid arthritis. J Rheumatol. 2005;32:1013–1019. [PubMed] [Google Scholar]
  • 3.Beach SR, Fincham FD, Katz J. Marital therapy in the treatment of depression: toward a third generation of therapy and research. Clin Psychol Rev. 1998;18:635–661. doi: 10.1016/s0272-7358(98)00023-3. [DOI] [PubMed] [Google Scholar]
  • 4.Beaupre P, Keefe FJ, Lester N, Affleck G, Fredrickson B, Caldwell DS. A computer-assisted observational method for assessing spouses ‘ratings of osteoarthritis patients’ pain. Psychology, Health & Medicine. 1997;2:99–108. [Google Scholar]
  • 5.Berkman LF, Breslow L. Health and ways of living: The Alameda county Study. Oxford University Press; New York: 1983. [Google Scholar]
  • 6.Bermas BL, Tucker JS, Winkelman DK, Katz JN. Marital satisfaction in couples with rheumatoid arthritis. Arthritis Care Res. 2000;13:149–155. doi: 10.1002/1529-0131(200006)13:3<149::aid-anr4>3.0.co;2-w. [DOI] [PubMed] [Google Scholar]
  • 7.Blake DJ, Maisiak R, Koplan A, Alarcon GS, Brown S. Sexual dysfunction among patients with arthritis. Clin Rheumatol. 1988;7:50–60. doi: 10.1007/BF02284057. [DOI] [PubMed] [Google Scholar]
  • 8.Coombs RH. Marital Status and Personal Well-Being: A Literature Review. Family Relations. 1999;40:97–102. [Google Scholar]
  • 9.Covic T, Tyson G, Spencer D, Howe G. Depression in rheumatoid arthritis patients: demographic, clinical, and psychological predictors. J Psychosom Res. 2006;60:469–476. doi: 10.1016/j.jpsychores.2005.09.011. [DOI] [PubMed] [Google Scholar]
  • 10.Creamer P, Lethbridge-Cejku M, Hochberg MC. Determinants of pain severity in knee osteoarthritis: effect of demographic and psychosocial variables using 3 pain measures. J Rheumatol. 1999;26:1785–1792. [PubMed] [Google Scholar]
  • 11.Danoff-Burg S, Revenson TA. Benefit-finding among patients with rheumatoid arthritis: positive effects on interpersonal relationships. J Behav Med. 2005;28:91–103. doi: 10.1007/s10865-005-2720-3. [DOI] [PubMed] [Google Scholar]
  • 12.Dickens C, Creed F. The burden of depression in patients with rheumatoid arthritis. Rheumatology (Oxford) 2001;40:1327–1330. doi: 10.1093/rheumatology/40.12.1327. [DOI] [PubMed] [Google Scholar]
  • 13.Fincham FD, Beach SR. Conflict in marriage: implications for working with couples. Annu Rev Psychol. 1999;50:47–77. doi: 10.1146/annurev.psych.50.1.47. [DOI] [PubMed] [Google Scholar]
  • 14.Flor H, Turk DC. Chronic back pain and rheumatoid arthritis: predicting pain and disability from cognitive variables. J Behav Med. 1988;11:251–265. doi: 10.1007/BF00844431. [DOI] [PubMed] [Google Scholar]
  • 15.Fordyce WE. Pain and suffering. A reappraisal. Am Psychol. 1988;43:276–283. doi: 10.1037//0003-066x.43.4.276. [DOI] [PubMed] [Google Scholar]
  • 16.Gove WR, Hughes M, Style CB. Does marriage have positive effects on the psychological well-being of the individual? J Health Soc Behav. 1983;24:122–131. [PubMed] [Google Scholar]
  • 17.Hibbard JH, Pope CR. The quality of social roles as predictors of morbidity and mortality. Soc Sci Med. 1993;36:217–225. doi: 10.1016/0277-9536(93)90005-o. [DOI] [PubMed] [Google Scholar]
  • 18.Hill J, Bird H, Thorpe R. Effects of rheumatoid arthritis on sexual activity and relationships. Rheumatology (Oxford) 2003;42:280–286. doi: 10.1093/rheumatology/keg079. [DOI] [PubMed] [Google Scholar]
  • 19.Hughes ME, Waite LJ. Marital biography and health at mid-life. J Health Soc Behav. 2009;50:344–358. doi: 10.1177/002214650905000307. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Katz P. Introduction to special patient outcomes in rheumatology issue of arthritis care and research. Arthritis Rheum. 2003;49:S1–S4. doi: 10.1002/acr.20585. [DOI] [PubMed] [Google Scholar]
  • 21.Kazis LE, Meenan RF, Anderson J. Pain in the rheumatic diseases. Investigation of a key health status component. Arthritis Rheum. 1983;26:1017–1022. doi: 10.1002/art.1780260811. [DOI] [PubMed] [Google Scholar]
  • 22.Keefe FJ, Blumenthal J, Baucom D, Affleck G, Waugh R, Caldwell DS, Beaupre P, Kashakir-Zuck S, Wright K, Egert J. Effects of spouse-assisted coping skills training and exercise training in patients with osteoarthritic knee pain: a randomized controlled study. Pain. 2004;110:539–549. doi: 10.1016/j.pain.2004.03.022. [DOI] [PubMed] [Google Scholar]
  • 23.Keefe FJ, Caldwell DS, Baucom D, Salley A, Robinson E, Timmons K, Beaupre P, Weisberg J, Helms M. Spouse-assisted coping skills training in the management of osteoarthritic knee pain. Arthritis Care Res. 1996;9:279–291. doi: 10.1002/1529-0131(199608)9:4<279::aid-anr1790090413>3.0.co;2-6. [DOI] [PubMed] [Google Scholar]
  • 24.Keefe FJ, Caldwell DS, Baucom D, Salley A, Robinson E, Timmons K, Beaupre P, Weisberg J, Helms M. Spouse-assisted coping skills training in the management of knee pain in osteoarthritis: long-term followup results. Arthritis Care Res. 1999;12:101–111. doi: 10.1002/1529-0131(199904)12:2<101::aid-art5>3.0.co;2-9. [DOI] [PubMed] [Google Scholar]
  • 25.Keefe FJ, Lefebvre JC, Egert JR, Affleck G, Sullivan MJ, Caldwell DS. The relationship of gender to pain, pain behavior, and disability in osteoarthritis patients: the role of catastrophizing. Pain. 2000;87:325–334. doi: 10.1016/S0304-3959(00)00296-7. [DOI] [PubMed] [Google Scholar]
  • 26.Kiecolt-Glaser JK, Newton T, Cacioppo JT, MacCallum RC, Glaser R, Malarkey WB. Marital conflict and endocrine function: are men really more physiologically affected than women? J Consult Clin Psychol. 1996;64:324–332. doi: 10.1037//0022-006x.64.2.324. [DOI] [PubMed] [Google Scholar]
  • 27.Locke HJ, Wallace KM. Short marital-adjustment and prediction tests: Their reliability and validity. Marriage and Family Living. 1959;21:251–255. [Google Scholar]
  • 28.Martire LM, Keefe FJ, Schulz R, Ready R, Beach SR, Rudy TE, Starz TW. Older spouses ‘perceptions of partners’ chronic arthritis pain: implications for spousal responses, support provision, and caregiving experiences. Psychol Aging. 2006;21:222–230. doi: 10.1037/0882-7974.21.2.222. [DOI] [PubMed] [Google Scholar]
  • 29.Martire LM, Schulz R, Keefe FJ, Starz TW, Osial TA, Jr, Dew MA, Reynolds CF., III Feasibility of a dyadic intervention for management of osteoarthritis: a pilot study with older patients and their spousal caregivers. Aging Ment Health. 2003;7:53–60. doi: 10.1080/1360786021000007045. [DOI] [PubMed] [Google Scholar]
  • 30.Meenan RF, Gertman PM, Mason JH, Dunaif R. The arthritis impact measurement scales. Further investigations of a health status measure. Arthritis Rheum. 1982;25:1048–1053. doi: 10.1002/art.1780250903. [DOI] [PubMed] [Google Scholar]
  • 31.Meenan RF, Mason JH, Anderson JJ, Guccione AA, Kazis LE. AIMS2. The content and properties of a revised and expanded Arthritis Impact Measurement Scales Health Status Questionnaire. Arthritis Rheum. 1992;35:1–10. doi: 10.1002/art.1780350102. [DOI] [PubMed] [Google Scholar]
  • 32.Melzack R. The McGill Pain Questionnaire: major properties and scoring methods. Pain. 1975;1:277–299. doi: 10.1016/0304-3959(75)90044-5. [DOI] [PubMed] [Google Scholar]
  • 33.Parker JC, Smarr KL, Buckelew SP, Stucky-Ropp RC, Hewett JE, Johnson JC, Wright GE, Irvin WS, Walker SE. Effects of stress management on clinical outcomes in rheumatoid arthritis. Arthritis Rheum. 1995;38:1807–1818. doi: 10.1002/art.1780381214. [DOI] [PubMed] [Google Scholar]
  • 34.Robles TF, Kiecolt-Glaser JK. The physiology of marriage: pathways to health. Physiol Behav. 2003;79:409–416. doi: 10.1016/s0031-9384(03)00160-4. [DOI] [PubMed] [Google Scholar]
  • 35.Sterba KR, DeVellis RF, Lewis MA, DeVellis BM, Jordan JM, Baucom DH. Effect of couple illness perception congruence on psychological adjustment in women with rheumatoid arthritis. Health Psychol. 2008;27:221–229. doi: 10.1037/0278-6133.27.2.221. [DOI] [PubMed] [Google Scholar]
  • 36.Steyerberg EW, Eijkemans MJ, Harrell FE, Jr, Habbema JD. Prognostic modeling with logistic regression analysis: in search of a sensible strategy in small data sets. Med Decis Making. 2001;21:45–56. doi: 10.1177/0272989X0102100106. [DOI] [PubMed] [Google Scholar]
  • 37.Umberson D, Williams K, Powers DA, Liu H, Needham B. You make me sick: marital quality and health over the life course. J Health Soc Behav. 2006;47:1–16. doi: 10.1177/002214650604700101. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.van Lankveld W, Ruiterkamp G, Naring G, de Rooij DJ. Marital and sexual satisfaction in patients with RA and their spouses. Scand J Rheumatol. 2004;33:405–408. doi: 10.1080/03009740410010317. [DOI] [PubMed] [Google Scholar]
  • 39.Verbrugge LM, Gates DM, Ike RW. Risk factors for disability among U.S. adults with arthritis. J Clin Epidemiol. 1991;44:167–182. doi: 10.1016/0895-4356(91)90264-a. [DOI] [PubMed] [Google Scholar]
  • 40.Waltz M, Kriegel W, van’t Pad Bosch P. The social environment and health in rheumatoid arthritis: marital quality predicts individual variability in pain severity. Arthritis Care Res. 1998;11:356–374. doi: 10.1002/art.1790110507. [DOI] [PubMed] [Google Scholar]
  • 41.Ward MM, Leigh JP. Marital status and the progression of functional disability in patients with rheumatoid arthritis. Arthritis Rheum. 1993;36:581–588. doi: 10.1002/art.1780360502. [DOI] [PubMed] [Google Scholar]
  • 42.Williams K. Has the future of marriage arrived? A contemporary examination of gender, marriage, and psychological well-being. J Health Soc Behav. 2003;44:470–487. [PMC free article] [PubMed] [Google Scholar]
  • 43.Williamson D, Robinson ME, Melamed B. Pain behavior, spouse responsiveness, and marital satisfaction in patients with rheumatoid arthritis. Behav Modif. 1997;21:97–118. doi: 10.1177/01454455970211006. [DOI] [PubMed] [Google Scholar]
  • 44.Wright GE, Parker JC, Smarr KL, Johnson JC, Hewett JE, Walker SE. Age, depressive symptoms, and rheumatoid arthritis. Arthritis Rheum. 1998;41:298–305. doi: 10.1002/1529-0131(199802)41:2<298::AID-ART14>3.0.CO;2-G. [DOI] [PubMed] [Google Scholar]

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