全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

The Relationship between Marital Status and Psychological Resilience in Chronic Pain

DOI: 10.1155/2013/928473

Full-Text   Cite this paper   Add to My Lib

Abstract:

We examined the relationship between marital status and a 2-stage model of pain-related effect, consisting of pain unpleasantness and suffering. We studied 1914 chronic pain patients using multivariate analysis of covariance (MANCOVA) to clarify whether marital status was a determinant factor in the emotional or ideational suffering associated with chronic pain after controlling for pain sensation intensity, age, and ethnicity. Marital status was unrelated to immediate unpleasantness ( ). We found a strong association with emotional suffering ( ) but not with negative illness beliefs ( ). Interestingly, widowed subjects experienced significantly less frustration, fear, and anger than all other groups (married, divorced, separated, or single). A final MANCOVA including sex as a covariate revealed that the emotional response to pain was the same for both widow and widower. Only those individuals whose spouse died experienced less emotional turmoil in the face of a condition threatening their lifestyle. These data suggest that after experiencing the death of a spouse, an individual may derive some “emotional inoculation” against future lifestyle threat. 1. Introduction High levels of happiness or well-being are associated with beneficial outcomes, such as healthy development of young adults [1] and longevity [2]. Research conducted internationally points to a strong association between level of social support and well-being [3]. Helliwell et al. [4] used data from the World Gallup Poll and found that the strength of an individual’s social network determined their well-being. A study conducted in Seoul, South Korea [5], showed that individuals who had somebody to “lean on” in times of trouble reported higher well-being. In a South African study, those residents reporting the strongest feelings of well-being also enjoyed the greatest amount of social support from community members [6]. Conversely, in a study conducted in five countries throughout Asia, results indicated that lacking somebody to discuss important matters with was associated with lower well-being [7]. In a Belgian study [8], higher levels of life satisfaction were associated with strong social ties, even after adjusting for levels of optimism. In Germany, those people who reported a high frequency of visiting friends, relatives, or neighbors were almost 20% more satisfied with their lives [9]. These data suggest that the strength of social ties is associated with well-being and life satisfaction throughout the world. Marriage is associated with longer life and better health in both men and

References

[1]  N. Park, “The role of subjective well-being in positive youth development,” Annals of the American Academy of Political and Social Science, vol. 591, pp. 25–39, 2004.
[2]  E. Diener and M. Y. Chan, “Happy people live longer: subjective-well-being contributes to health and longevity,” Applied Psychology, vol. 3, no. 1, pp. 1–43, 2011.
[3]  R. Calvo, Y. Zheng, S. Kumar, T. Olgiati, and L. Berkman, “Well-being and social capital on planet Earth: cross-national evidence from 142 countries,” Proceedings of the Library of Science, vol. 1, no. 7, pp. 1–10, 2012.
[4]  J. F. Helliwell, C. Barrington-Leigh, A. Harris, and H. Huang, “International evidence on the social context of well-being,” E. Diener, J. F. Helliwll, and D. Kahneman, Eds., International Differences in Well-Being, pp. 291–327, Oxford University Press, New York, NY, USA, 2010.
[5]  S. Han, H. Kim, and H.-S. Lee, “A multilevel analysis of the compositional and contextual association of social capital in subjective well-being in Seoul, South Korea,” Social Indicators Research, vol. 111, no. 1, pp. 185–202, 2013.
[6]  J. M. Cramm, V. M?ller, and A. P. Nieboer, “Individual and neighborhoods-level indicators of subjective-well being in a small and poor Eastern Cape township: the effects of health, social capital, marital status and income,” Social Indicators Research, vol. 105, no. 3, pp. 581–593, 2012.
[7]  K. Yamaoka, “Social capital and health and well-being in East Asia: a population-based study,” Social Science and Medicine, vol. 66, no. 4, pp. 885–899, 2008.
[8]  M. Hooghe and B. Vanhoutte, “Subjective well-being and social capital in Belgian communities: the impact of community characteristics on subjective well-being indicators in Belgium,” Social Indicators Research, vol. 100, no. 1, pp. 17–36, 2011.
[9]  R. Winkelmann, “Unemployment, social capital, and subjective well-being,” Journal of Happiness Studies, vol. 10, no. 4, pp. 421–430, 2009.
[10]  L. J. Waite, “Does marriage matter?” Demography, vol. 32, no. 4, pp. 483–507, 1995.
[11]  R. M. M. Stolzenberg, T. J. Blair-Loy, and L. J. Waite, “Religious participation over the life course: age and family life cycle effects on church membership,” American Sociological Review, vol. 60, pp. 84–103, 1995.
[12]  R. Melzack and K. L. Casey, “Sensroy, motivational, and central control of determinatnts of pain,” in The Skin Senses, D. R. Kenshalo, Ed., p. 423, Charles C. Thomas, Springfield, Ill, USA, 1968.
[13]  S. W. Harkins, D. D. Price, and J. Braith, “Effects of extraversion and neuroticism on experimental pain, clinical pain, and illness behavior,” Pain, vol. 36, no. 2, pp. 209–218, 1989.
[14]  J. B. Wade, D. D. Price, R. M. Hamer, S. M. Schwartz, and R. P. Hart, “An emotional component analysis of chronic pain,” Pain, vol. 40, no. 3, pp. 303–310, 1990.
[15]  D. D. Price, P. A. McGrath, A. Rafii, and B. Buckingham, “The validation of visual analogue scales as ratio scale measures for chronic and experimental pain,” Pain, vol. 17, no. 1, pp. 45–56, 1983.
[16]  J. B. Wade, D. L. Riddle, D. D. Price, and L. Dumenci, “Role of pain catastrophizing during pain processing in a cohort of patients with chronic and severe arthritic knee pain,” Pain, vol. 152, no. 2, pp. 314–319, 2011.
[17]  D. D. Price, “Psychological and neural mechanisms of the affective dimension of pain,” Science, vol. 288, no. 5472, pp. 1769–1772, 2000.
[18]  J. B. Wade and D. D. Price, “Nonpathological factors in chronic pan: implications for assessment and treatment,” in Personality Characteristics of Pain Patients, R. J. Gatchel and J. N. Weisberg, Eds., pp. 89–107, 2000.
[19]  J. L. Riley III, J. B. Wade, M. E. Robinson, and D. D. Price, “The stages of pain processing across the adult lifespan,” Journal of Pain, vol. 1, no. 2, pp. 162–170, 2000.
[20]  J. L. Riley III, J. B. Wade, C. D. Myers, D. Sheffield, R. K. Papas, and D. D. Price, “Racial/ethnic differences in the experience of chronic pain,” Pain, vol. 100, no. 3, pp. 291–298, 2002.
[21]  J. B. Wade, L. M. Dougherty, C. R. Archer, and D. D. Price, “Assessing the stages of pain processing: a multivariate analytical approach,” Pain, vol. 68, no. 1, pp. 157–167, 1996.
[22]  P. Maruff, S. Wood, J. Currie, C. McArthur-Jackson, V. Malone, and E. Benson, “Computer-administered visual analogue mood scales: rapid and valid assessment of mood in HIV positive individuals,” Psychological Reports, vol. 74, no. 1, pp. 39–42, 1994.
[23]  R. G. Knight and J. A. Thirkettle, “Anxiety and depression in the immediate post-partum period: a controlled investigation of a primiparous sample,” Australian and New Zealand Journal of Psychiatry, vol. 20, no. 4, pp. 430–436, 1987.
[24]  K. Millar, M. Jelicic, B. Bonke, and A. J. Asbury, “Assessment of preoperative anxiety: comparison of measures in patients awaiting surgery for breast cancer,” British Journal of Anaesthesia, vol. 74, no. 2, pp. 180–183, 1995.
[25]  J. B. Wade, L. M. Dougherty, R. P. Hart, A. Rafii, and D. D. Price, “A canonical correlation analysis of the influence of neuroticism and extraversion on chronic pain, suffering, and pain behavior,” Pain, vol. 51, no. 1, pp. 67–74, 1992.
[26]  A. T. Beck, R. A. Steer, and G. K. Brown, Manual for the Beck Depression Inventory-II, Psychological Corporation, San Antonio, Tex, USA, 1996.
[27]  R. C. Arnau, M. W. Meagher, M. P. Norris, and R. Bramson, “Psychometric evaluation of the Beck Depression Inventory-II with primary medical care patients,” Health Psychology, vol. 20, no. 2, pp. 112–119, 2001.
[28]  R. A. Steer, D. J. Rissmiller, and A. T. Beck, “Use of the Beck Depression Inventory-II with depressed geriatric inpatients,” Behaviour Research and Therapy, vol. 38, no. 3, pp. 311–318, 2000.
[29]  E. G. Kapci, R. Uslu, H. Turkcapar, and A. Karaoglan, “Beck depression inventory II: evaluation of the psychometric properties and cut-off points in a Turkish adult population,” Depression and Anxiety, vol. 25, no. 10, pp. E104–E110, 2008.
[30]  D. C. Turk and T. E. Rudy, “Toward an empirically derived taxonomy of chronic pain patients: integration of psychological assessment data,” Journal of Consulting and Clinical Psychology, vol. 56, no. 2, pp. 233–238, 1988.
[31]  R. D. Kerns, D. C. Turk, and T. E. Rudy, “The West Haven-Yale Multidimensional Pain Inventory (WHYMPI),” Pain, vol. 23, no. 4, pp. 345–356, 1985.
[32]  S. F. Mikail, S. DuBreuil, and J. L. D'Eon, “A comparative analysis of measures used in the assessment of chronic pain patients,” Psychological Assessment, vol. 5, no. 1, pp. 117–120, 1993.
[33]  P. Donceel and M. Du Bois, “Predictors for work incapacity continuing after disc surgery,” Scandinavian Journal of Work, Environment and Health, vol. 25, no. 3, pp. 264–271, 1999.
[34]  I. H. Bernstein, M. E. Jaremko, and B. S. Hinkley, “On the utility of the West Haven-Yale Multidimensional Pain Inventory,” Spine, vol. 20, no. 8, pp. 956–963, 1995.
[35]  H. Flor and N. Birbaumer, “Comparison of the efficacy of electromyographic biofeedback, cognitive-behavioral therapy, and conservative medical interventions in the treatment of chronic musculoskeletal pain,” Journal of Consulting and Clinical Psychology, vol. 61, no. 4, pp. 653–658, 1993.
[36]  L. Scharff, D. C. Turk, and D. A. Marcus, “Psychosocial and behavioral characteristics in chronic headache patients: support for a continuum and dual-diagnostic approach,” Cephalalgia, vol. 15, no. 3, pp. 216–223, 1995.
[37]  D. C. Turk, H. S. Zaki, and T. E. Rudy, “Effects of intraoral appliance and biofeedback/stress management alone and in combination in treating pain and depression in patients with temporomandibular disorders,” The Journal of Prosthetic Dentistry, vol. 70, no. 2, pp. 158–164, 1993.
[38]  “Statistical Package for the Social Sciences (SPSS),” version 21, SPSS Inc. 444 N. Michigan Ave., Chicago, Ill, USA, 60611, 2013.
[39]  S. Leknes, C. Berna, M. C. Lee, G. D. Snyder, G. Biele, and I. Tracey, “The importance of context: when relative relief renders pain pleasant,” Pain, vol. 154, pp. 402–410, 2013.
[40]  S. C. Hayes, J. B. Luoma, F. W. Bond, A. Masuda, and J. Lillis, “Acceptance and commitment therapy: model, process and outcomes,” Behaviour Research and Therapy, vol. 44, no. 1, pp. 1–25, 2006.
[41]  L. M. McCracken and S. C. Velleman, “Psychological flexibility in adults with chronic pain: a study of acceptance, mindfulness, and values-based action in primary care,” Pain, vol. 148, no. 1, pp. 141–147, 2010.
[42]  S. C. Hayes, K. Strosahl, K. G. Wilson et al., “Measuring experiential avoidance: a preliminary test of a working model,” Psychological Record, vol. 54, no. 4, pp. 553–578, 2004.
[43]  J. B. Reese, T. J. Somers, F. J. Keefe, A. Mosley-Williams, and M. A. Lumley, “Pain and functioning of rheumatoid arthritis patients based on marital status: is a distressed marriage preferable to no marriage?” Journal of Pain, vol. 11, no. 10, pp. 958–964, 2010.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133