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Quality of Life Research
Gepubliceerd in: Quality of Life Research 10/2020

20-05-2020

The impact of resilience on healthy aging with multiple sclerosis

Auteurs: M. Ploughman, M. B. Downer, R. W. Pretty, E. M. Wallack, S. Amirkhanian, M. C. Kirkland, The Health, Lifestyle and Aging with MS Canadian Consortium

Gepubliceerd in: Quality of Life Research | Uitgave 10/2020

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Abstract

Purpose

The aim of this study was to identify characteristics of older persons with multiple sclerosis (MS) reporting high and low levels of resilience. We also examined the influence of resilience on three key elements of healthy aging: level of disability, participation and health-related quality of life (HRQoL).

Methods

Data were extracted from the Canadian Survey of Health, Lifestyle and Aging with MS (n = 743). Lifestyle, psychological health, and quality of life variables were compared between people with high and low resilience scores controlling for confounding variables. We used hierarchical regression to determine the unique contribution of resilience and related variables to healthy aging.

Results

Roughly, 1 in 5 respondents reported high resilience (18.8%), while 1 in 3 reported low resilience (33.9%). The group having higher resilience scores lived with less disability (~ 10%) and fatigue, reported greater participation, exercised more, consumed a healthier diet and lived with greater social support and financial security, compared to the lower scoring group. Resilience added only 1–2% of predictive value explaining disability, participation and HRQoL when confounding variables were accounted for. Years since diagnosis, type of MS, depression, fatigue and resilience significantly predicted healthy aging.

Conclusion

Resilience contributed minimally (but significantly) to healthy aging. Older participants scoring higher on resilience reported healthier lifestyle behaviors (more exercise, better diet) and social/financial support compared to lower scoring respondents. Our findings suggest that self-management programs for older persons with MS should focus on three key factors to foster healthy aging: depression, fatigue and resilience.
vorige artikel Sleep disturbance and quality of life in clinically stable inpatients with schizophrenia in rural China
volgende artikel Resilience is associated with health-related quality of life in caregivers of service members and veterans following traumatic brain injury
Literatuur
1.
Resnick, B. A., & Inguito, P. L. (2011). The Resilience Scale: Psychometric properties and clinical applicability in older adults. Archives of Psychiatric Nursing, 25(1), 11–20.PubMed
2.
Wagnild, G. (2003). Resilience and successful aging: Comparison among low and high income older adults. Journal of Gerontological Nursing, 29(12), 42–49.PubMed
3.
Wagnild, G. M., & Young, H. M. (1993). Development and psychometric evaluation of the Resilience Scale. Journal of Nursing Measurement, 1, 165.PubMed
4.
Silverman, A. M., et al. (2015). Resilience predicts functional outcomes in people aging with disability: A longitudinal investigation. Archives of Physical Medicine and Rehabilitation, 96(7), 1262–1268.PubMed
5.
Silverman, A. M., et al. (2017). Bouncing back again, and again: A qualitative study of resilience in people with multiple sclerosis. Disability and Rehabilitation, 39(1), 14–22.PubMed
6.
Ploughman, M., et al. (2012). Factors influencing healthy aging with multiple sclerosis: A qualitative study. Disability and Rehabilitation, 34(1), 26–33.PubMed
7.
Ploughman, M., et al. (2012). The path to self-management: A qualitative study involving older people with multiple sclerosis. Physiotherapy Canada, 64(1), 6–17.PubMedPubMedCentral
8.
Alschuler, K. N., et al. (2018). Promoting resilience in individuals aging with multiple sclerosis: Results from a pilot randomized controlled trial. Rehabilitation Psychology, 63(3), 338–348.PubMed
9.
Pakenham, K. I., et al. (2018). Pilot evaluation of a resilience training program for people with multiple sclerosis. Rehabilitation Psychology, 63(1), 29–42.PubMed
10.
Tan-Kristanto, S., & Kiropoulos, L. A. (2015). Resilience, self-efficacy, coping styles and depressive and anxiety symptoms in those newly diagnosed with multiple sclerosis. Psychology Health & Medicine, 20(6), 635–645.
11.
Ploughman, M., et al. (2020). Under-treated depression negatively impacts lifestyle behaviors, participation and health-related quality of life among older people with multiple sclerosis. Multiple Sclerosis and Related Disorders, 40, 101919.PubMed
12.
Wallack, E. M., Wiseman, H. D., & Ploughman, M. (2016). Healthy aging from the perspectives of 683 older people with multiple sclerosis. Multiple Sclerosis International Federation, 2016, 1845720.
13.
Ploughman, M., et al. (2017). Women's and men's differing experiences of health, lifestyle, and aging with multiple sclerosis. International Journal of MS Care, 19(4), 165–171.PubMedPubMedCentral
14.
Downer, M. B., et al. (2020). Octogenarians with multiple sclerosis: Lessons for aging in place. Canadian Journal on Aging, 39(1), 107–116.PubMed
15.
Kos, D., et al. (2008). Origin of fatigue in multiple sclerosis: Review of the literature. Neurorehabilitation and Neural Repair, 22(1), 91–100.PubMed
16.
Arewasikporn, A., et al. (2018). Cognitive and affective mechanisms of pain and fatigue in multiple sclerosis. Health Psychology, 37(6), 544–552.PubMedPubMedCentral
17.
Braley, T. J., & Chervin, R. D. (2010). Fatigue in multiple sclerosis: Mechanisms, evaluation, and treatment. Sleep, 33(8), 1061–1067.PubMedPubMedCentral
18.
Schwartz, C. E., et al. (1999). Stress and course of disease in multiple sclerosis. Behavioral Medicine, 25(3), 110–116.PubMed
19.
Senders, A., et al. (2014). Perceived stress in multiple sclerosis: The potential role of mindfulness in health and well-being. Journal of Evidence-Based Integrative Medicine, 19(2), 104–111.
20.
Senders, A., et al. (2019). Impact of mindfulness-based stress reduction for people with multiple sclerosis at 8 weeks and 12 months: A randomized clinical trial. Multiple Sclerosis Journal, 25(8), 1178–1188.PubMed
21.
Koelmel, E., et al. (2017). Resilience mediates the longitudinal relationships between social support and mental health outcomes in multiple sclerosis. Archives of Physical Medicine and Rehabilitation, 98(6), 1139–1148.PubMed
22.
Feinstein, A., et al. (2014). The link between multiple sclerosis and depression. Nature Reviews Neurology, 10(9), 507–517.PubMed
23.
Orr, J., et al. (2018). Factors associated with perceived need for mental health care in multiple sclerosis. Multiple Sclerosis and Related Disorders, 25, 179–185.PubMed
24.
Ploughman, M., et al. (2014). The Canadian survey of health, lifestyle and ageing with multiple sclerosis: Methodology and initial results. British Medical Journal Open, 4(7), e005718.
25.
Ploughman, M., et al. (2010). Applying cognitive debriefing to pre-test patient-reported outcomes in older people with multiple sclerosis. Quality of Life Research, 19(4), 483–487.PubMed
26.
Wagnild, G. M. (2009). The resilience scale user's guide: For the US English Version of The Resilience Scale TM and The 14-Item Resilience Scale TM (RS-14 TM). Stockholm: Resilience Center.
27.
Wagnild, G. M. & Torma, L. M. (2013). Assessing resilience in older frontier women. Rural Nursing: Concepts, theory, and practice, pp. 79–94.
28.
Mahoney, F. (1965). Functional evaluation. The Barthel Index. Maryland State Medical Journal, 14, 61–65.PubMed
29.
Yeo, D., Faleiro, R., & Lincoln, N. (1995). Barthel ADL Index: A comparison of administration methods. Clinical Rehabilitation, 9(1), 34–39.
30.
Cano, S., et al. (2006). Exploring disability rating scale responsiveness II: Do more response options help? Neurology, 67(11), 2056–2059.PubMed
31.
Nicholl, L., et al. (2004). Measuring disability in multiple sclerosis: IS the Community Dependency Index an improvement on the Barthel Index? Multiple Sclerosis Journal, 10(4), 447–450.PubMed
32.
Van der Putten, J., et al. (1999). Measuring change in disability after inpatient rehabilitation: Comparison of the responsiveness of the Barthel index and the Functional Independence Measure. Journal of Neurology, Neurosurgery & Psychiatry, 66(4), 480–484.
33.
Wade, D. T., Legh-Smith, J., & Hewer, R. L. (1985). Social activities after stroke: Measurement and natural history using the Frenchay Activities Index. International Rehabilitation Medicine, 7(4), 176–181.PubMed
34.
Carter, J., et al. (1997). Comparison of postal version of the Frenchay Activities Index with interviewer-administered version for use in people with stroke. Clinical Rehabilitation, 11(2), 131–138.PubMed
35.
Turnbull, J. C., et al. (2000). Validation of the Frenchay Activities Index in a general population aged 16 years and older. Archives of Physical Medicine and Rehabilitation, 81(8), 1034–1038.PubMed
36.
Einarsson, U., et al. (2006). Activities of daily living and social activities in people with multiple sclerosis in Stockholm County. Clinical Rehabilitation, 20(6), 543–551.PubMed
37.
Ytterberg, C., et al. (2008). Perceived needs and satisfaction with care in people with multiple sclerosis: A two-year prospective study. BMC Neurology, 8(1), 36.PubMedPubMedCentral
38.
Groenvold, M., et al. (1997). Validation of the EORTC QLQ-C30 quality of life questionnaire through combined qualitative and quantitative assessment of patient-observer agreement. Journal of Clinical Epidemiology, 50(4), 441–450.PubMed
39.
Fisk, J., et al. (2005). A comparison of health utility measures for the evaluation of multiple sclerosis treatments. Journal of Neurology, Neurosurgery & Psychiatry, 76(1), 58–63.
40.
Bacci, E. D., et al. (2016). Analysis of the psychometric properties of the Multiple Sclerosis Impact Scale-29 (MSIS-29) in relapsing-remitting multiple sclerosis using classical and modern test theory. Multiple Sclerosis Journal, 2, 2055217316673235.
41.
Godwin, M., et al. (2008). Testing the simple lifestyle indicator questionnaire. Canadian Family Physician, 54(1), 76–77.PubMedPubMedCentral
42.
Ploughman, M., et al. (2015). Predictors of exercise participation in ambulatory and non-ambulatory older people with multiple sclerosis. PeerJ, 3, e1158.PubMedPubMedCentral
43.
44.
Weinert, C. (1987). A social support measure: PRQ85. Nursing Research, 36(5), 273–277.PubMed
45.
Long, K. A., & Weinert, C. (1992). Descriptions and perceptions of health among rural and urban adults with multiple sclerosis. Research in Nursing & Health, 15, 335.
46.
Weinert, C., Cudney, S., & Hill, W. G. (2008). Rural women, technology, and self-management of chronic illness. CJNR (Canadian Journal of Nursing Research), 40(3), 114–134.
47.
Tawalbeh, L. I., & Ahmad, M. M. (2013). Personal resource questionnaire: A systematic review. Journal of Nursing Research, 21(3), 170–177.PubMed
48.
Honarmand, K., & Feinstein, A. (2009). Validation of the Hospital Anxiety and Depression Scale for use with multiple sclerosis patients. Multiple Sclerosis Journal, 15(12), 1518–1524.PubMed
49.
Zigmond, A. S., & Snaith, R. P. (1983). The hospital anxiety and depression scale. Acta Psychiatrica Scandinavica, 67(6), 361–370.PubMed
50.
51.
52.
Ainsworth, B. E., et al. (2011). 2011 Compendium of Physical Activities: A second update of codes and MET values. Medicine and Science in Sports and Exercise, 43(8), 1575–1581.PubMed
53.
Prakash, R. S., et al. (2007). Cardiorespiratory fitness: A predictor of cortical plasticity in multiple sclerosis. Neuroimage, 34(3), 1238–1244.PubMed
54.
Chaves, A. R., et al. (2020). Exercise-induced brain excitability changes in progressive multiple sclerosis: A pilot study. Journal of Neurologic Physical Therapy, 44(2), 132–144.PubMed
55.
Chaves, A. R., et al. (2019). Prolonged cortical silent period is related to poor fitness and fatigue, but not tumor necrosis factor, in multiple sclerosis. Clinical Neurophysiology, 130(4), 474–483.PubMed
56.
57.
Ploughman, M., et al. (2015). The effects of poststroke aerobic exercise on neuroplasticity: A systematic review of animal and clinical studies. Translational Stroke Research, 6(1), 13–28.PubMed
58.
D’hooghe, M., et al. (2012). Alcohol, coffee, fish, smoking and disease progression in multiple sclerosis. European Journal of Neurology, 19(4), 616–624.PubMed
59.
Siegert, R. J., & Abernethy, D. A. (2005). Depression in multiple sclerosis: A review. Journal of Neurology, Neurosurgery and Psychiatry, 76(4), 469–475.PubMed
60.
Strawbridge, W. J., et al. (1996). Successful aging: Predictors and associated activities. American Journal of Epidemiology, 144(2), 135–141.PubMed
61.
Smith, S. J., & Young, C. A. (2000). The role of affect on the perception of disability in multiple sclerosis. Clinical Rehabilitation, 14(1), 50–54.PubMed
62.
Janssens, A. C., et al. (2003). Impact of recently diagnosed multiple sclerosis on quality of life, anxiety, depression and distress of patients and partners. Acta Neurologica Scandinavica, 108(6), 389–395.PubMed
63.
Garland, S. N., Scurrey, S. R. M., & Ploughman, M. (2017). Factors associated with poor sleep in older adults with multiple sclerosis. International Journal of Behavioral Medicine, 24(6), 937–945.PubMed
64.
Correale, J., et al. (2017). Progressive multiple sclerosis: From pathogenic mechanisms to treatment. Brain, 140(3), 527–546.PubMed
65.
Merkt, H., et al. (2017). Multiple sclerosis: Associations between physical disability and depression are not mediated by self-reported physical activity. Perceptual and Motor Skills, 124(5), 974–991.PubMed
66.
Braley, T. J., & Boudreau, E. A. (2016). Sleep disorders in multiple sclerosis. Current Neurology and Neuroscience Reports, 16(5), 50.PubMed
67.
Cosco, T. D., et al. (2016). Socioeconomic position, social mobility, and resilience. Gerontologist, 56, 489–489.
68.
Southwick, S. M., et al. (2016). Why are some individuals more resilient than others: The role of social support. World Psychiatry, 15(1), 77–79.PubMedPubMedCentral
69.
Luthar, S. S., Cicchetti, D., & Becker, B. (2000). The construct of resilience: A critical evaluation and guidelines for future work. Child Development, 71(3), 543–562.PubMedPubMedCentral
70.
Terrill, A. L., et al. (2016). Resilience, age, and perceived symptoms in persons with long-term physical disabilities. Journal of Health Psychology, 21(5), 640–649.PubMed
71.
Black, R., & Dorstyn, D. (2015). A biopsychosocial model of resilience for multiple sclerosis. Journal of Health Psychology, 20(11), 1434–1444.PubMed
72.
Metagegevens
Titel
The impact of resilience on healthy aging with multiple sclerosis
Auteurs
M. Ploughman
M. B. Downer
R. W. Pretty
E. M. Wallack
S. Amirkhanian
M. C. Kirkland
The Health, Lifestyle and Aging with MS Canadian Consortium
Publicatiedatum
20-05-2020
Uitgeverij
Springer International Publishing
Gepubliceerd in
Quality of Life Research / Uitgave 10/2020
Print ISSN: 0962-9343
Elektronisch ISSN: 1573-2649
DOI
https://doi.org/10.1007/s11136-020-02521-6

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