Next Article in Journal
High-Level Executive Functions: A Possible Role of Sex and Weight Condition in Planning and Decision-Making Performances
Next Article in Special Issue
Sexual Dysfunctions in Parkinson’s Disease and Their Influence on Partnership—Data of the PRISM Study
Previous Article in Journal
Multimedia Interventions for Neurodiversity: Leveraging Insights from Developmental Cognitive Neuroscience to Build an Innovative Practice
Previous Article in Special Issue
Caregiver Burden and Quality of Life in Late Stage Parkinson’s Disease
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Resilience in People with Lewy Body Disorders and Their Care Partners: Association with Mental Health, Relationship Satisfaction, and Care Burden

1
School of Psychology, Faculty of Science, The University of Sydney, Sydney, NSW 2050, Australia
2
Global Brain Health Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland
*
Author to whom correspondence should be addressed.
Brain Sci. 2022, 12(2), 148; https://doi.org/10.3390/brainsci12020148
Submission received: 17 December 2021 / Revised: 10 January 2022 / Accepted: 20 January 2022 / Published: 23 January 2022
(This article belongs to the Special Issue Caregiver Burden in Movement Disorders and Neurodegenerative Diseases)

Abstract

:
The emergence of cognitive impairment and dementia in people with Lewy body spectrum disorders (LBS) significantly impacts the quality of life of the individual and their care partner. Coping well with the condition may depend, in part, on the degree of psychological resilience or capacity to ‘bounce back’ from adversity. We explored resilience in people with Parkinson’s disease mild cognitive disorder or dementia, or dementia with Lewy bodies, and their care partners, and its relation to outcomes related to their mental well-being and quality of life. This exploratory, cross-sectional study recruited 76 participant-dyads. Resilience, quality of life, depression, anxiety, and relationship satisfaction were evaluated in both members of the dyad. In care partners, care burden and stress were also assessed. Over 70% of both care partners and recipients reported high levels of resilience. Lower resilience in both members of the dyad was associated with higher anxiety and lower quality of life. Additionally, lower resilience in care partners was associated with lower well-being, relationship satisfaction, and higher burden and stress. Resilience in persons with LBS and their care partners is important to consider when assessing mental health, relationship, and care burden outcomes, acting as a focus of intervention to support positive outcomes.

1. Introduction

The spectrum of Lewy body diseases comprises disorders characterised by cognitive impairment, ranging from mild cognitive impairment in Parkinson’s disease (PD-MCI) to dementia (Parkinson’s disease dementia (PDD); dementia with Lewy bodies (DLB)). Collectively, PDD and DLB constitute over 15% of total dementias [1], and DLB is considered the second most common type of neurodegenerative dementia following Alzheimer’s disease [2]. As these conditions advance, and the stage of cognitive impairment progresses, the negative impact of the condition on those affected, as well as their care partners, becomes significant, often manifesting as lower quality of life in both members of the dyad, higher levels of disability, and increasing care burden [3,4,5]. Thus, the need for moderating factors to optimise quality of life and well-being is important. One of these protective factors may be psychological resilience, broadly defined as the capacity to bounce back from adversity [6], maintain psychological health, and adapt and grow in the context of adversity [7,8]. It has been suggested that the presence of resilience enables care partners to continue to provide care and even flourish despite the increasing demands of a progressive condition in the care recipient [9].
Investigations of resilience have generally focused on children and younger populations facing adverse circumstances (i.e., [6]). In older adults, resilience work has mostly centred on the response to physical illness [10,11,12,13] and traumatic events [14]. In Parkinson’s disease, there have been only a few studies [15,16,17,18,19,20], and in dementia, the focus has been on care partners [21] rather than people with dementia themselves [22,23]. To date, no studies have addressed Lewy body spectrum disorders with cognitive impairment. Thus, here, we focus on both the person with Lewy body-related cognitive disorders (PD-MCI, PDD, or DLB), as well as their care partner, considering resilience in the context of the care dyad, considering the reciprocal impacts mental states have on each partner of the dyad [24]. Resilience research supports the positive psychology approach [25], which, considering the progressive and incurable nature of the Lewy body spectrum disorders, can offer an alternative to a focus on the ‘broken brain’ and concepts of care burden and stress.
Resilience has been conceptualised as a multidimensional construct, including as a process or adaptation [26,27,28], an antecedent factor (i.e., risk or protective factor; [29]), a manifestation of neurobiological processes underpinning reward and motivation [30], and as an outcome or consequence. In a recent systematic review exploring resilience in family caregivers of people living with chronic neurological conditions, the authors concluded that due to various studies referring to resilience as a process, trait, or a hybrid of the two, it is next to impossible to achieve consensus on how resilience is conceptualised, theorised, and evaluated [31]. It comprises factors such as mental well-being (i.e., absence of depression and anxiety), self-efficacy, hope, self-confidence, ability to problem solve, coping ability, degree of social support, and optimism [6,8,26,32]. Its multidimensionality makes measuring resilience challenging; however, validated tools to measure resilience, such as the Brief Resilience Scale (BRS) [33], can still provide valuable insights.
To investigate resilience in the context of the Lewy body spectrum disorders, we undertook a detailed exploratory investigation in people with PD-MCI, PDD, and LDB, as well as their care partners, focussing on the interplay among resilience, depression, anxiety, quality of life, relationship satisfaction, and care burden. For the purposes of this study, we conceptualised resilience as a predictor or antecedent of other measures, including mental health, relationship satisfaction, and quality of life outcomes in both members of the dyad, and burden, stress, and strain in care partners. We applied the adapted Stress-Appraisal Model [34] as a theoretical framework for the hypotheses in this study. Specifically, the neuropsychiatric and cognitive symptoms of the person with PD act as primary stressors for the care partner, whereas their own mental and physical health as secondary stressors, which influence how they respond to the situation (primary and secondary appraisals). The outcome may in part depend on the protective and mediating factors, such as quality of dyadic relationship, perceived social support, self-efficacy, and personality (including resilience), leading to the tertiary appraisal (e.g., burden) and outcome (e.g., quality of life). We hypothesised that lower resilience predicts lower mental well-being, quality of life, and relationship satisfaction in both members of the care dyad. Moreover, we hypothesised that in care partners, lower resilience predicts higher stress and burden. Our overall aim was to gather data to inform the development of dyadic psychosocial interventions for people with Lewy body-related cognitive disorders and their care partners.

2. Materials and Methods

2.1. Context, Design, and Ethics

This was a cross-sectional study nested in the INdiVidualised cognitivE Stimulation Therapy (INVEST) project, a pilot feasibility randomised controlled trial of an adapted cognitive stimulation therapy for people with Lewy body-related cognitive disorders and their study partners [35,36,37].
The study was approved by the Yorkshire and Humber-Bradford Leeds Research Ethics Committee (Reference: 15/YH/0531) and was conducted according to standards set by the Declaration of Helsinki and the principles of Good Clinical Practice.

2.2. Participants

We included 76 participant-dyads who were people in different stages of cognitive impairment due to PD-MCI, PDD, or DLB (n = 76), and their care partners (n = 76). Participants with Lewy body-related cognitive disorders were eligible if they were: aged 18 years or older; having a diagnosis based on standard clinical diagnostic criteria of PD-MCI [38], PDD [39], or DLB [40] ascertained by the referring specialist; living at home; on stable medication for at least four weeks prior to study entry; had the capacity to provide consent to participate in the study; and had the ability to speak and understand conversational English [35]. Exclusion criteria were the presence of a medical, psychiatric, or cognitive illness severe enough to interfere with study procedures and lack of care partner willing to participate. Inclusion criteria for care partners were at least 18 years old, being the primary person responsible for unpaid support/care for the participant with Lewy body-related cognitive disorders at least four hours per week in the community, willing to be a coparticipant in the study, and able to speak and understand English. All participants were assessed for capacity to consent to the study and signed informed consent. The participant-dyads were identified for the INVEST study via seven health and social care organisations across England. All study visits were conducted in participants’ own home by researchers trained in standard administration of the outcome measures and scoring procedures.

2.3. Measures

All participant-dyads completed a battery of measures (detailed description in Table 1). Demographic information (e.g., age, gender, education, ethnicity, marital status, relationship duration, living status of both partners), disease-related aspects of the person with Lewy body-related cognitive disorders (e.g., diagnosis, onset year of PD or DLB symptoms and cognitive impairment), and care provision-related aspects of the care partner (e.g., care provision duration in years and weekly hours) was obtained from all participants. Both members of the dyad were administered the Brief Resilience Scale (BRS) [33], which is a 6-item scale that assesses the ability to bounce back or recover from stress on a five-point Likert scale (from 1—strongly disagree to 5—strongly agree), with higher scores indicating higher resilience. Three items are worded positively (for example: “I usually come through difficult times with little trouble”), and three items are worded negatively (for example: “I have a hard time making it through stressful events”). In care partners of people with Lewy body-related cognitive disorders, the BRS demonstrates strong psychometric and clinimetric properties and excellent clinical utility ratings [41].
To capture the dyadic aspect of the care relationship, we administered the Relationship Satisfaction Scale (RSS) [42], which is a seven-item scale rated on a Likert scale (ranging from 0—very dissatisfied to 6—very satisfied) exploring communication and openness, resolving conflicts and arguments, degree of affection and caring, and overall satisfaction with the relationship. It has been used in this population before [4,35] and has also demonstrated good psychometric and clinimetric properties [41]. All participants also completed the Hospital Anxiety and Depression Scale (HADS) [43]. In addition, care partners completed the Neuropsychiatric Inventory (NPI) [44] rating the psychiatric symptoms of the person with Lewy body-related cognitive disorder.
To explore the relationship between resilience and quality of life, we administered the Parkinson’s Disease Questionnaire-39 (PDQ-39) [45] in participants with Lewy body-related cognitive disorders, and all dyads completed the EuroQoL-5D-3L (EQ-5D) [46]. Additionally, to characterise clinical aspects of participants with Lewy body-related cognitive disorders, we administered the Montreal Cognitive Assessment (MoCA) [47], Hoehn and Yahr staging system (H&Y) [48], the Unified Parkinson’s Disease Rating Scale (UPDRS-III) [49], and the Schwab and England Activities of Daily Living (SE-ADL). Finally, care partners also completed the Zarit Burden Interview (ZBI) [50], the Relatives’ Stress Scale (Rel.SS) [51], and the Short-Form 12 Health Survey (SF-12) [52].

2.4. Analysis

Categorical variables (i.e., descriptive data) are presented as percentages, and normally or non-normally distributed continuous variables are presented as mean and standard deviations (SD) or as medians and interquartile ranges (IQRs), respectively. Parametric tests (i.e., regression analysis) and nonparametric tests (i.e., Spearman correlation coefficient, Mann–Whitney U test) were undertaken as appropriate. Assumptions for linear regression were examined via statistical tests and visual inspection of graphs and were met. Post hoc tests (i.e., Bonferroni) were applied when using several tests and several groups. Missing data were addressed with the expectation–maximisation method. The analyses were conducted in SPSS version 23. The significance level for all results was set at p < 0.05.

3. Results

3.1. Demographic and Clinical Characteristics

Participant-dyad characteristics are outlined in Table 2. Of the participants with Lewy body cognitive disorders, 19.8% (n = 15) had a diagnosis of PD-MCI, 52.6% (n = 40) had PDD, and 27.6% (n = 21) had DLB. Of this group, 78.9% (n = 60) were male, and 93.4% (n = 71) were white with a mean age of 74.5 years (SD = 6.74). Of the care partners, 85.6% (n = 65) lived with their study partner, 77.6% (n = 59) were spouses or partners, 17.1% (n = 13) were relatives, and the remainder 5.3% (n = 4) included a live-in care partner, a live-in divorcee, a friend, and a grandchild. Of the care partners, 89.5% (n = 68) were female, and 92.1% (n = 70) were white with a mean age of 65.0 years (SD = 11.81). Care partners provided care between 0 and 20 years (median = 3, IQR = 1–6.75), and half of the care partners (n = 39) provided up to 24 h of care every day (median = 71 h per week, IQR = 15.5–168).

3.2. Associations with and Predictors of Resilience

Table 1 describes the outcome measures and compares the group differences on various outcomes between people with Lewy body cognitive disorders and care partners. Group analysis (Mann–Whitney U test) revealed that care partners self-reported higher resilience scores (m = 3.79, SD = 0.82) than people with Lewy body cognitive disorders (m = 3.23, SD = 0.71, p < 0.001). People with Lewy body-related cognitive disorders reported lower quality of life (as measured by the EuroQoL) and higher anxiety and depression (as measured by the HADS) compared with care partners. Care partners were less satisfied with their relationship with the person with Lewy body-related cognitive disorders (m = 29.05, SD = 10.36) than the care recipients were with their care partner (m = 33.16, SD = 7.47, p = 0.016).
Table 3 shows the outcome scores of both members of the dyad according to the low (≤2.99) and high (≥3.00) resilience cut-off scores. Most participants with Lewy body-related cognitive disorders (74%; n = 56) and care partners (83%; n = 63) reported high resilience (i.e., above a mean score of 3.00). People with Lewy body-related cognitive disorders with lower levels of resilience had higher levels of anxiety (HADS, p < 0.001), higher frequency and severity of neuropsychiatric symptoms (NPI, p = 0.047), lower levels of quality of life related to Parkinson’s (PDQ-39, p = 0.006), and overall quality of life (EQ-5D, p = 0.004) compared to those with higher resilience scores. Care partners with lower levels of resilience reported lower relationship satisfaction (RSS, p = 0.002), lower quality of life (EQ-5D, p = 0.001), lower scores on mental health (SF-12-MCS, p < 0.001) and physical health (SF-12-PCS, p = 0.037), and higher levels of anxiety (HADS, p < 0.001), depression (HADS, p < 0.001), burden (ZBI, p < 0.001), and stress (Rel.SS, p < 0.001).
Table 4 and Table 5 outline the associations of resilience among people with Lewy body-related cognitive disorders and care partners, respectively, using Spearman rank correlation analyses (with Bonferroni-adjusted alpha levels of 0.003). Higher resilience in people with Lewy body-related cognitive disorders was associated with lower anxiety (HADS-A, p < 0.001) and higher overall quality of life (EQ5D-VAS, p < 0.001) and PD-related quality of life (PDQ-39, p = 0.001). In care partners, higher resilience was related to higher relationship satisfaction (RSS, p = 0.002), better mental health (SF-12-MCS, p < 0.001), and higher quality of life (EQ5D, p ≤ 0.002), as well as lower burden (ZBI), stress (Rel.SS), anxiety (HADS), and depression (HADS) (all at p < 0.001).
Table 6 reports the regression analysis. Individual linear regression models were built with regression being the predictor. In people with Lewy body-related cognitive disorders, resilience was the strongest predictor for anxiety level (F(1,74) = 19.97, p < 0.001, adjusted R2 = 0.20). Resilience was also a significant predictor for relationship satisfaction (F(1,74) = 4.21, p < 0.05, adjusted R2 = 0.04), quality of life (EQ5D-VAS: F(1,74) = 8.51, p < 0.01, adjusted R2 = 0.09), and Parkinson’s-related quality of life (PDQ-39: F(1,74) = 11.39, p < 0.01, adjusted R2 = 0.12).
In care partners, resilience was a strong predictor for several outcomes: anxiety (F(1,74) = 64.859, p < 0.001, adjusted R2 = 0.460), depression (F(1,74) = 31.849, p < 0.001, adjusted R2 = 0.291), overall mental health (SF12-MCS: F(1,74) = 31.009, p < 0.001, adjusted R2 = 0.286), stress (Rel.SS: F(1,74) = 27.290, p < 0.001, adjusted R2 = 0.260), and care burden (ZBI: F(1,74) = 24.749, p < 0.001, adjusted R2 = 0.240).

4. Discussion

As far as we are aware, this is the first investigation of resilience in people with Lewy body-related cognitive disorders and their care partners. We found, in support of our hypotheses, that higher resilience is associated with better mental health and higher quality of life in both members of the dyad and with lower care burden, stress, and strain in care partners. Relationship satisfaction, although reported as higher in care recipients than care partners, was associated with higher resilience in care partners. This underscores the importance of resilience as a potential protective factor in several outcomes in people with progressive neurodegenerative conditions such as Lewy body disorders, as well as their care partners. It provides evidence to support a shift in focus from care burden, stress, and strain towards positive and adaptive processes and may inform proactive and constructive approaches to support care dyads.
We found that care partners had higher resilience compared to care recipients. Adaptive changes in neural circuitry mediating mechanisms of reward, fear, and social behaviour play a role in resilience associated with an enhanced ability to cope with stress [30,53]. It is possible that the disruptions to reward and motivation pathways in people with Lewy body pathology, specifically Parkinson’s disease [54], may interfere with resilience networks, explaining the difference in resilience between our Lewy body disease group and their care partners, without an underlying neurodegenerative disorder. Work to identify the neurophysiological substrates that determine a predisposition to resilience to stress and depression is ongoing [55].
A systematic review exploring resilience in family care partners of people with dementia found that resilience is multidimensional and encompasses caring, social, cultural, and psychological dimensions of caring, all of which may influence care partners’ adaptability to their role of providing care [23]. The authors concluded that resilience may be care partners’ way of responding and adjusting to the new role of care partner as a condition progresses [23]. Indeed, as the health of people with Lewy body disorders progressively deteriorates, care partners have to accommodate and adapt to this journey, and assume the primary care partners’ role, evolving from their previous roles of spouse, life partner, child, sibling, or relative of the person with the degenerative condition. This adaptation requires mental and physical strength, as care partners’ time spent on caring tasks continually increases, and their own health and needs become deprioritised, increasing the risk of poor physical and mental health [4]. Our findings are in line with earlier studies, which have demonstrated that higher resilience is associated with lower care burden [56,57], potentially attributed to the positive benefits that care partners of people with Lewy body dementias experience by overcoming the many challenges of caring, despite high associated care burden [56]. Understanding resilience is therefore an important aspect influencing the extent of care burden experienced by care partners. Moreover, there are important implications for clinical practice. Applying a positive psychology lens and focussing on developing resilience in the therapeutic setting may foster better outcomes across a range of clinical symptoms.
Our study supported the association between high resilience and measures of better mental health, particularly anxiety, in both members of the dyad. It has been long hypothesised that resilience acts as a defence against adversity [58] and is thus protective of mental health. Participants with Lewy body-related cognitive disorders in the lower resilience group had higher frequency and severity of neuropsychiatric symptoms, although the direction of association cannot be inferred. As cognition in Parkinson’s deteriorates, neuropsychiatric symptoms emerge, with the frequency, magnitude, and range of neuropsychiatric symptoms, including apathy, being highest in the PDD stage [3,59]. It is possible that the presence of neuropsychiatric symptoms undermines resilience, or that lower resilience leads to the emergence of neuropsychiatric symptoms. This underscores the complexity of resilience studies in that it may be an antecedent factor (i.e., risk or protective factor; [29]), an outcome or consequence, or indeed a manifestation of disrupted neurobiological pathways, cooccurring with neuropsychiatric and other clinical symptoms.
Finally, our analysis also demonstrated that lower resilience was associated with poorer quality of life of the Lewy body disease group. This is consistent with evidence derived from older adults without neurodegenerative disorders, which suggests that the negative impact of stress and illness on quality of life can be mitigated by higher levels of resilience [60]. We have previously shown that the emergence of dementia in the context of Parkinson’s is associated with a significant increase in functional dependence of the person with Parkinson’s and lowered quality of life and higher care burden in care partners [3,61]. An important strength of our study was the focus on people with Lewy body-related cognitive disorders and their care partners, extending previous studies which examined people with Parkinson’s disease alone, without consideration of their cognitive stage (i.e., [16]).
We acknowledge certain limitations of our study. The lack of a universally accepted definition of resilience as a concept is already well recognised; however, some investigators contend that it is unnecessary to seek a single, unitary definition of resilience (i.e., [29]) and that contextual definitions suffice, provided the context is explicitly stated [62]. Moreover, assessing resilience using a unidimensional measure may be reductionist, considering the multidimensional nature of the concept. Despite this, our measure, the BRS, has previously demonstrated good psychometric and clinimetric properties [41]. Finally, the sample size of our study was relatively small, and only limited conclusions could be drawn from the study (including lack of comparisons between disease stages); however, we explored resilience in a complex neurodegenerative disorder and described care partners’ resilience in detail for the first time.
In the future, research should focus on enhancing understanding of the role of resilience with this population and examine in greater depth potentially relevant predisposing (e.g., personal traits) or enabling (e.g., self-care, services, and social support) factors that may influence resilience. Additionally, understanding resilience across different stages of the condition and in different care settings will also be important and informative for clinical care.

5. Conclusions

Our exploratory study is unique in that it has examined the role of resilience in the management of persons with Parkinson’s disease and dementia with Lewy bodies. This study also described the associations between resilience and mental health, neuropsychiatric symptoms, and quality of life in people with Lewy body-related cognitive disorders and their care partners. Assessing the level of resilience and focussing interventions on enhancing the skills to bounce back from stressful situations could help with supporting psychological well-being and reduce carer burden. The inclusion of mild cognitive impairment in Parkinson’s in our study is important in the development of an appropriate care plan. Future studies should include a larger sample size with a qualitative component to fully explore the concept of resilience among dyads affected by Lewy body spectrum disorders.

Author Contributions

Conceptualisation, I.L.; methodology, I.L., S.V.; software, S.V.; validation, I.L., S.V.; formal analysis, S.V.; investigation, I.L.; resources, S.V.; data curation, S.V.; writing—original draft preparation, S.V., I.L.; writing—review and editing, S.V.; visualisation, S.V.; supervision, I.L.; project administration, I.L.; funding acquisition, I.L. All authors have read and agreed to the published version of the manuscript.

Funding

This paper presents independent research funded by the National Institute for Health Research (NIHR) under its Research for Patient Benefit (RfPB) Programme (PB-PG-0613-31058). The views expressed are those of the authors and not necessarily those of the NHS, the NIHR, or the Department of Health and Social Care.

Institutional Review Board Statement

The study was conducted according to the guidelines of the Declaration of Helsinki and approved by the Yorkshire and Humber-Bradford Leeds Research Ethics Committee (Reference: 15/YH/0531).

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author. The data are not publicly available due to ethics regulations.

Acknowledgments

We would like to thank the participants who took part in the research study. We would also like to thank Vijaykumar Harbishettar for providing comments on the manuscript.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. McKeith, I.G.; Burn, D. Spectrum of Parkinson’s Disease, Parkinson’s Dementia, and Lewy Body Dementia. Neurol. Clin. 2000, 18, 865–883. [Google Scholar] [CrossRef]
  2. Barker, W.W.; Luis, C.A.; Kashuba, A.; Luis, M.; Harwood, D.G.; Loewenstein, D.; Waters, C.; Jimison, P.; Shepherd, E.; Sevush, S.; et al. Relative Frequencies of Alzheimer Disease, Lewy Body, Vascular and Frontotemporal Dementia, and Hippocampal Sclerosis in the State of Florida Brain Bank. Alzheimer Dis. Assoc. Disord. 2002, 16, 203–212. [Google Scholar] [CrossRef] [PubMed]
  3. Leroi, I.; McDonald, K.; Pantula, H.; Harbishettar, V. Cognitive impairment in Parkinson disease: Impact of quality of life, disability, and caregiver burden. J. Geriatric Psych. Neurol. 2012, 25, 208–214. [Google Scholar] [CrossRef]
  4. Vatter, S.; Stanmore, E.; Clare, L.; McDonald, K.R.; McCormick, S.A.; Leroi, I. Care Burden and Mental Ill Health in Spouses of People with Parkinson Disease Dementia and Lewy Body Dementia. J. Geriatric Psych. Neurol. 2020, 33, 3–14. [Google Scholar] [CrossRef]
  5. Vatter, S.; McDonald, K.R.; Stanmore, E.; Clare, L.; McCormick, S.A.; Leroi, I. A qualitative study of female caregiving spouses’ experiences of intimate relationships as cognition declines in Parkinson’s disease. Age Ageing 2018, 47, 604–610. [Google Scholar] [CrossRef] [Green Version]
  6. Masten, A.S. Global Perspectives on Resilience in Children and Youth. Child Dev. 2014, 85, 6–20. [Google Scholar] [CrossRef]
  7. Zautra, A.J.; Arewasikporn, A.; Davis, M.C. Resilience: Promoting Well-Being Through Recovery, Sustainability, and Growth. Res. Hum. Dev. 2010, 7, 221–238. [Google Scholar] [CrossRef]
  8. Windle, G. What is resilience? A review and concept analysis. Rev. Clin. Gerontol. 2010, 21, 152–169. [Google Scholar] [CrossRef]
  9. Gaugler, J.E.; Kane, R.L.; Newcomer, R. Resilience and Transitions from Dementia Caregiving. J. Gerontol. Ser. B Psychol. Sci. Soc. Sci. 2007, 62, P38–P44. [Google Scholar] [CrossRef] [Green Version]
  10. Williamson, G.M.; Schulz, R. Symptoms of depression in elderly persons: Beyond the effects of physical illness and disability. In Mood and Cognitive Disorders: Facts and Research in Gerontology; Vellas, B.J., Albarede, J.L., Potter, P.J., Eds.; Springer: New York, NY, USA, 1995; pp. 9–19. [Google Scholar]
  11. Gibson, S.J.; Helme, R.D. Age-related differences in pain perception and report. Clin. Geriatr. Med. 2001, 17, 433–456. [Google Scholar] [CrossRef]
  12. Shamaskin, A.M.; Rybarczyk, B.D.; Wang, E.; White-Williams, C.; McGee, E.; Cotts, W.; Grady, K.L. Older patients (age 65+) report better quality of life, psychological adjustment, and adherence than younger patients 5 years after heart transplant: A multisite study. J. Heart Lung Transplant. 2012, 31, 478–484. [Google Scholar] [CrossRef] [PubMed]
  13. Rybarczyk, B.; Emery, E.E.; Guequierre, L.L.; Shamaskin, A.; Behel, J. Chapter 9 The Role of Resilience in Chronic Illness and Disability in Older Adults. Annu. Rev. Gerontol. Geriatr. 2012, 32, 173–187. [Google Scholar] [CrossRef]
  14. Bonanno, G.A.; Galea, S.; Bucciarelli, A.; Vlahov, D. What predicts psychological resilience after disaster? The role of demographics, resources, and life stress. J. Consult. Clin. Psychol. 2007, 75, 671–682. [Google Scholar] [CrossRef]
  15. McCabe, M.P.; O’Connor, E.J. Why are some people with neurological illness more resilient than others? Psychol. Health Med. 2012, 17, 17–34. [Google Scholar] [CrossRef] [Green Version]
  16. Robottom, B.; Gruber-Baldini, A.; Anderson, K.; Reich, S.; Fishman, P.; Weiner, W.; Shulman, L. What determines resilience in patients with Parkinson’s disease? Park. Relat. Disord. 2012, 18, 174–177. [Google Scholar] [CrossRef]
  17. Shamaskin-Garroway, A.M.; Lageman, S.; Rybarczyk, B. The roles of resilience and nonmotor symptoms in adjustment to Parkinson’s disease. J. Health Psychol. 2016, 21, 3004–3015. [Google Scholar] [CrossRef]
  18. Walga, T.K. Understanding the experience and perspectives of Parkinson’s disease patients’ caregivers. Rehab. Res. Pract. 2019, 2019, 3082325. [Google Scholar] [CrossRef] [Green Version]
  19. Harris, P.B. Another wrinkle in the debate about successful aging: The undervalued concept of resilience and the lived expe-rience of dementia. Int. J. Aging Hum. Dev. 2008, 67, 43–61. [Google Scholar] [CrossRef] [PubMed]
  20. Tyler, C.M.; Henry, R.S.; Perrin, P.B.; Watson, J.; Villaseñor, T.; Lageman, S.K.; Smith, E.R.; Curiel, G.R.; Avila, J.; Maldonado, M.E.J.; et al. Structural Equation Modeling of Parkinson’s caregiver social support, resilience, and mental health: A strength-based perspective. Neurol. Res. Int. 2020, 2020, 7906547. [Google Scholar] [CrossRef] [Green Version]
  21. Lee, Y.; Chiou, Y.-J.; Hung, C.-F.; Chang, Y.-Y.; Chen, Y.-F.; Lin, T.-K.; Wang, L.-J. A dyadic study of psychological well-being of individuals with Parkinson’s disease and their caregivers. Sci. Rep. 2021, 11, 1–9. [Google Scholar] [CrossRef]
  22. Da Rosa, R.D.L.; Simões-Neto, J.P.; Santos, R.L.; Torres, B.; Baptista, M.A.T.; Kimura, N.R.S.; Dourado, M.C.N. Caregivers’ resilience in mild and moderate Alzheimer’s disease. Aging Ment. Health 2020, 24, 250–258. [Google Scholar] [CrossRef] [PubMed]
  23. Teahan, Á.; Lafferty, A.; McAuliffe, E.; Phelan, A.; O’Sullivan, L.; O’Shea, D.; Fealy, G. Resilience in family caregiving for people with dementia: A systematic review. Int. J. Geriatr. Psychiatry 2018, 33, 1582–1595. [Google Scholar] [CrossRef] [PubMed]
  24. Maharani, A.; Zaidi, N.; Jury, F.; Vatter, S.; Hill, D.; Leroi, I. Loneliness and social isolation impacts on depression and anxiety in memory clinic attendees and their care partners: A Longitudinal Actor-Partner Interdependence Model. Alzheimers Dement 2022, in press.
  25. Seligman, M.E.P.; Csikszentmihalyi, M. Positive Psychology: An Introduction; Springer Science and Business Media LLC: Berlin/Heidelberg, Germany, 2014; pp. 279–298. [Google Scholar]
  26. Masten, A.S.; Hubbard, J.J.; Gest, S.D.; Tellegen, A.; Garmezy, N.; Ramirez, M. Competence in the context of adversity: Pathways to resilience and maladaptation from childhood to late adolescence. Dev. Psychopathol. 1999, 11, 143–169. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  27. Rutter, M. Implications of Resilience Concepts for Scientific Understanding. Ann. N. Y. Acad. Sci. 2006, 1094, 1–12. [Google Scholar] [CrossRef] [Green Version]
  28. Rutter, M. Resilience as a dynamic concept. Dev. Psychopathol. 2012, 24, 335–344. [Google Scholar] [CrossRef] [Green Version]
  29. Southwick, S.M.; Bonanno, G.A.; Masten, A.; Panter-Brick, C.; Yehuda, R. Resilience definitions, theory, and challenges: Interdisciplinary perspectives. Eur. J. Psychotraumatol. 2014, 5, 25338. [Google Scholar] [CrossRef] [Green Version]
  30. Feder, A.; Nestler, E.J.; Charney, D.S. Psychobiology and molecular genetics of resilience. Nat. Rev. Neurosci. 2009, 10, 446–457. [Google Scholar] [CrossRef] [Green Version]
  31. McKenna, O.; Fakolade, A.; Cardwell, K.; Langlois, N.; Jiang, K.; Pilutti, L.A. Towards conceptual convergence: A systematic review of psychological resilience in family caregivers of persons living with chronic neurological conditions. Health Expect. 2021, 1–34. [Google Scholar] [CrossRef]
  32. O’Dwyer, S.T.; Moyle, W.; Taylor, T.; Creese, J.; Zimmer-Gembeck, M. In Their Own Words: How Family Carers of People with Dementia Understand Resilience. Behav. Sci. 2017, 7, 57. [Google Scholar] [CrossRef] [Green Version]
  33. Smith, B.W.; Dalen, J.; Wiggins, K.; Tooley, E.; Christopher, P.; Bernard, J. The brief resilience scale: Assessing the ability to bounce back. Int. J. Behav. Med. 2008, 15, 194–200. [Google Scholar] [CrossRef] [PubMed]
  34. Greenwell, K.; Gray, W.K.; van Wersch, A.; van Schaik, P.; Walker, R. Predictors of the psychosocial impact of being a carer of people living with Parkinson’s disease: A systematic review. Park. Relat. Disord. 2015, 21, 1–11. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  35. Leroi, I.; Vatter, S.; Carter, L.-A.; Smith, S.J.; Orgeta, V.; Poliakoff, E.; Silverdale, M.A.; Raw, J.; Ahearn, D.J.; Taylor, C.; et al. Parkinson’s-adapted cognitive stimulation therapy: A pilot randomized controlled clinical trial. Ther. Adv. Neurol. Disord. 2019, 12, 1756286419852217. [Google Scholar] [CrossRef] [PubMed]
  36. McCormick, S.A.; McDonald, K.R.; Vatter, S.; Orgeta, V.; Poliakoff, E.; Smith, S.J.; Silverdale, M.; Fu, B.; Leroi, I. Psychosocial therapy for Parkinson’s-related dementia: Study protocol for the INVEST randomised controlled trial. BMJ Open 2017, 7, e016801. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  37. McCormick, S.A.; Vatter, S.; Carter, L.-A.; Smith, S.J.; Orgeta, V.; Poliakoff, E.; Silverdale, M.A.; Raw, J.; Ahearn, D.J.; Taylor, C.; et al. Parkinson’s-adapted cognitive stimulation therapy: Feasibility and acceptability in Lewy body spectrum disorders. J. Neurol. 2019, 266, 1756–1770. [Google Scholar] [CrossRef] [Green Version]
  38. Litvan, I.; Goldman, J.G.; Tröster, A.I.; Schmand, B.A.; Weintraub, D.; Petersen, R.C.; Mollenhauer, B.; Adler, C.H.; Marder, K.; Williams-Gray, C.; et al. Diagnostic criteria for mild cognitive impairment in Parkinson’s disease: Movement Disorder Society Task Force guidelines. Mov. Disord. 2012, 27, 349–356. [Google Scholar] [CrossRef] [Green Version]
  39. Emre, M.; Aarsland, D.; Brown, R.; Burn, D.; Duyckaerts, C.; Mizuno, Y.; Broe, G.A.; Cummings, J.; Dickson, D.W.; Gauthier, S.; et al. Clinical diagnostic criteria for dementia associated with Parkinson’s disease. Mov. Disord. Off. J. Disord. Soc. 2007, 22, 1689–1707. [Google Scholar] [CrossRef]
  40. McKeith, I.G.; Boeve, B.F.; Dickson, D.W.; Halliday, G.; Taylor, J.; Weintraub, D.; Aarsland, D.; Galvin, J.; Attems, J.; Ballard, C.G.; et al. Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB consortium. Neurology 2017, 89, 88–100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  41. Vatter, S.; McDonald, K.R.; Stanmore, E.; McCormick, S.A.; Clare, L.; Leroi, I. A brief psychometric and clinimetric evaluation of self-report burden and mental health measures completed by care partners of people with Parkinson’s-related dementia. Int. Psychogeriatr. 2020, 32, 875–880. [Google Scholar] [CrossRef]
  42. Burns, D.D. Ten Days to Self-Esteem; Quill William Morrow: New York, NY, USA, 1983. [Google Scholar]
  43. Zigmond, A.S.; Snaith, P.R. The Hospital Anxiety and Depression Scale. Acta Psychiatr. Scand. 1983, 67, 361–370. [Google Scholar] [CrossRef] [Green Version]
  44. Cummings, J.L.; Mega, M.; Gray, K.; Rosenberg-Thompson, S.; Carusi, D.A.; Gornbein, J. The Neuropsychiatric Inventory: Comprehensive assessment of psychopathology in dementia. Neurology 1994, 44, 2308. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Jenkinson, C.; Fitzpatrick, R.; Peto, V.; Greenhall, R.; Hyman, N. The Parkinson’s Disease Questionnaire (PDQ-39): Development and validation of a Parkinson’s disease summary index score. Age Ageing 1997, 26, 353–357. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  46. The EuroQol Group. EuroQol—A new facility for the measurement of health-related quality of life. Health Policy 1990, 16, 199–208. [Google Scholar] [CrossRef]
  47. Nasreddine, Z.S.; Phillips, N.A.; Bédirian, V.; Charbonneau, S.; Whitehead, V.; Collin, I.; Cummings, J.L.; Chertkow, H. The Montreal Cognitive Assessment, MoCA: A Brief Screening Tool for Mild Cognitive Impairment. J. Am. Geriatr. Soc. 2005, 53, 695–699, Corrigendum in J. Am. Geriatr. Soc. 2019, 67, 1991. [Google Scholar] [CrossRef]
  48. Hoehn, M.M.; Yahr, M.D. Parkinsonism: Onset, progression, and mortality. Neurology 1967, 17, 427–442. [Google Scholar] [CrossRef] [Green Version]
  49. Goetz, C.G.; Tilley, B.C.; Shaftman, S.R.; Stebbins, G.T.; Fahn, S.; Martinez-Martin, P.; Poewe, W.; Sampaio, C.; Stern, M.B.; Dodel, R.; et al. Movement Disorder Society-sponsored revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Mov. Disord. 2008, 23, 2129–2170. [Google Scholar] [CrossRef]
  50. Zarit, S.H.; Reever, K.E.; Bach-Peterson, J. Relatives of the impaired elderly: Correlates of feelings of burden. Gerontologist 1980, 20, 649–655. [Google Scholar] [CrossRef] [Green Version]
  51. Greene, J.G.; Smith, R.; Gardiner, M.; Timbury, G.C. Measuring Behavioural Disturbance of Elderly Demented Patients in The Community and Its Effects on Relatives: A Factor Analytic Study. Age Ageing 1982, 11, 121–126. [Google Scholar] [CrossRef]
  52. Ware, J., Jr.; Kosinski, M.; Keller, S.D. A 12-item short health survey: Construction of scales and preliminary tests of reliability and validity. Med. Care 1996, 34, 220–233. [Google Scholar] [CrossRef] [Green Version]
  53. Charney, D.S. Psychobiological Mechanisms of Resilience and Vulnerability: Implications for Successful Adaptation to Extreme Stress. Am. J. Psychiatry 2004, 161, 195–216. [Google Scholar] [CrossRef] [Green Version]
  54. Kapogiannis, D.; Mooshagian, E.; Campion, P.; Grafman, J.; Zimmermann, T.J.; Ladt, K.C.; Wassermann, E.M. Reward processing abnormalities in Parkinson’s disease. Mov. Disord. 2011, 26, 1451–1457. [Google Scholar] [CrossRef]
  55. Han, M.-H.; Nestler, E.J. Neural Substrates of Depression and Resilience. Neurotherapeutics 2017, 14, 677–686. [Google Scholar] [CrossRef] [Green Version]
  56. Dias, R.; Santos, R.L.; Barroso de Sousa, M.F.; Nogueira, M.M.L.; Torres, B.; Belfort, T.; Dourado, M.C.N. Resilience of caregivers of people with dementia: A systematic review of bio-logical and psychosocial determinants. Trends Psychiatry Psychother. 2015, 37, 12–19. [Google Scholar] [CrossRef]
  57. Joling, K.J.; Windle, G.; Dröes, R.-M.; Meiland, F.; Van Hout, H.P.; Vroomen, J.M.; Van De Ven, P.M.; Moniz-Cook, E.; Woods, B. Factors of Resilience in Informal Caregivers of People with Dementia from Integrative International Data Analysis. Dement. Geriatr. Cogn. Disord. 2016, 42, 198–214. [Google Scholar] [CrossRef]
  58. Davydov, D.M.; Stewart, R.; Ritchie, K.; Chaudieu, I. Resilience and mental health. Clin. Psychol. Rev. 2010, 30, 479–495. [Google Scholar] [CrossRef] [Green Version]
  59. Martin, G.P.; McDonald, K.R.; Allsop, D.; Diggle, P.J.; Leroi, I. Apathy as a behavioural marker of cognitive impairment in Park-inson’s disease: A longitudinal analysis. J. Neurol. 2020, 267, 214–227. [Google Scholar] [CrossRef] [Green Version]
  60. Hildon, M.Z.; Montgomery, S.; Blane, M.D.; Wiggins, R.D.; Netuveli, G. Examining Resilience of Quality of Life in the Face of Health-Related and Psychosocial Adversity at Older Ages: What is “Right” About the Way We Age? Gerontology 2009, 50, 36–47. [Google Scholar] [CrossRef]
  61. Leroi, I.; Ahearn, D.J.; Andrews, M.; McDonald, K.R.; Byrne, E.J.; Burns, A. Behavioural disorders, disability and quality of life in Parkinson’s disease. Age Ageing 2011, 40, 614–621. [Google Scholar] [CrossRef] [Green Version]
  62. Wright, M.O.; Masten, A.S. Pathways to resilience in context. In Youth Resilience and Culture: Commonalities and Complexities; Theron, L.C., Liebenberg, L., Ungar, M., Eds.; Springer Science + Business Media: Berlin/Heidelberg, Germany, 2015; pp. 3–22. [Google Scholar]
Table 1. Descriptions and values of measures in people with Lewy body-related cognitive disorders and care partners (n = 76 participant-dyads).
Table 1. Descriptions and values of measures in people with Lewy body-related cognitive disorders and care partners (n = 76 participant-dyads).
MeasuresScale DescriptionResults
Mean (SD), RangeMann–Whitney U Test
Aims of the MeasureCompleted by WhomNumber of ItemsScoringMax ScorePeople with Lewy Body Cognitive DisordersCare Partners
Brief Resilience Scale (BRS)Capacity to bounce back from stressBoth participants65-point Likert, 1–5 a5.003.23 (0.71),
1.33–4.67
3.79 (0.82), 1.50–5.000.000 ***
Relationship Satisfaction Scale (RSS)Communication, conflict resolution, degree of affection, intimacy, and overall relationship satisfactionBoth participants77-point Likert, 0–6 a4233.16 (7.47),
12–42
29.05 (10.36),
2–42
0.016 *
Hospital Anxiety and Depression Scale (HADS)Anxiety, depressionBoth participants7 anxiety4-point Likert, 0–3 b217.26 (4.15), 0–195.77 (4.31), 0–180.021 *
7 depres- sion4-point Likert, 0–3 b216.38 (2.73), 0–134.34 (3.87), 0–170.000 ***
EuroQoL-5D-3L (EQ5D)Health-related quality of lifeBoth participants5 (index score)3-point Likert, 1–3 a1.0000.541 (0.32), −0.113–1.0000.806 (0.22), −0.016–1.0000.000 ***
1 (visual analogue scale)0–100% a100%64.93 (16.56), 25–9575.90 (15.45), 35–1000.000 ***
Parkinson’s Disease Questionnaire-39 (PDQ-39)PD-specific health-related quality of life in 8 dimensionsInterview with people with PD390–100% b100%34.43 (14.69), 6.93–77.50NANA
Neuropsychiatric Inventory (NPI)Frequency and severity of 12 neuropsychiatric symptomsProxy rated by care partners12Frequency (1–4) × severity (1–3) b14416.17 (14.34), 0–58NANA
Zarit Burden Interview (ZBI)Degree of burdenCare partners only225-point Likert, 0–4 b88NA31.64 (16.06), 2–74NA
Relatives’ Stress Scale (Rel.SS)Amount of upset and stress experienced by the care partner due to care provisionCare partners only155-point Likert, 0–4 b60NA22.21 (11.22), 0–55NA
Short-Form 12 Health Survey (SF-12)Physical and mental healthCare partners only6 physical healthBinary (yes/no) or Likert a100NA49.80 (10.18), 24.34–66.80NA
6 mental healthBinary (yes/no) or Likert a100NA47.75 (11.48), 17.01–62.85NA
a—higher scores better, b—lower scores better, NA—not applicable, PD—Parkinson’s disease, SD—standard deviation. Notes: *** p < 0.001, * p < 0.05.
Table 2. Demographic and clinical variables of people with Lewy body-related cognitive disorders and care partners (n = 76 dyads).
Table 2. Demographic and clinical variables of people with Lewy body-related cognitive disorders and care partners (n = 76 dyads).
People with Lewy Body Cognitive Disorders
(n = 76)
Care Partners (n = 76)
Categorical Variablesn%n%
GenderFemale1621.16889.5
Male6078.9810.5
EthnicityWhite7193.47092.1
Nonwhite45.356.6
Did not specify11.311.3
Education levelUp to 18 year old schooling4052.73748.6
Further education and higher3647.33951.4
Marital statusSingle1215.81317.2
Married/ Partnership6484.26382.8
Living statusWith others7092.17497.4
Alone67.922.6
DiagnosisPD-MCI1519.8
PDD4052.6
DLB2127.6
Dyad relationshipSpouse/partner 5977.6
Son/daughter 1317.1
Other 45.3
Caregiving weekly hours (up to an average of)1 h per day 1519.7
8 h per day 2228.9
24 h a day 3951.4
H&Y stageI1519.7
II3343.4
III1215.8
IV1215.8
V45.3
Continuous VariablesnMedian; IQR (Range)nMedian; IQR (Range)
Age, years7675; 71–78 (55–90) 7668; 59–72 (21–88)
Dyad known years (if spouses/partners) 6348; 38–55 (0.50–70)
Duration of clinical symptoms, years764.5; 2–10 (0–33)
Caregiving years 763; 1–6.75 (0–20)
Montreal Cognitive Assessment (MoCA)7119; 15–22 (7–30)
UPDRS-III7531; 18–40 (8–69)
SE-ADL7460; 30–80 (10–100)
DLB—dementia with Lewy bodies, H&Y—Hoehn and Yahr Staging, IQR—interquartile range, PD-MCI—Parkinson’s disease mild cognitive impairment, PDD—Parkinson’s disease dementia, SE-ADL—Schwab and England Activities of Daily Living, UPDRS-III—Unified Parkinson’s Disease Rating Scale-III.
Table 3. Outcome scores stratified by low and high resilience groups in people with Lewy body-related cognitive disorders and care partners (n = 76 dyads).
Table 3. Outcome scores stratified by low and high resilience groups in people with Lewy body-related cognitive disorders and care partners (n = 76 dyads).
People with Lewy Body-Related Cognitive DisordersCare Partners
Scales
(Mean, SD)
Overall (n = 76)Low (1.00–2.99) (n = 20)High (3.00–5.00) (n = 56)Mann–Whitney U Test pOverall (n = 76)Low (1.00–2.99) (n = 13)High (3.00–5.00) (n = 63)Mann–Whitney U Test p
RSS33.16 (7.47)32.10 (7.56)33.54 (7.47)0.35029.05 (10.36)21.00 (9.35)30.71 (9.82)0.002
HADS-Anxiety7.26 (4.15)10.65 (4.10)6.05 (3.46)0.0005.77 (4.31)11.69 (3.47)4.54 (3.36)0.000
HADS-Depression6.38 (2.73)7.30 (2.70)6.05 (2.69)0.1044.34 (3.87)8.46 (4.26)3.49 (3.21)0.000
EQ5D-index0.54 (0.32)0.47 (0.25)0.57 (0.31)0.3180.81 (0.22)0.60 (.30)0.85 (0.18)0.001
EQ5D-VAS64.93 (16.56)56.85 (14.01)67.82 (16.55)0.00475.90 (15.45)66.06 (10.73)77.93 (15.56)0.003
PDQ-3934.43 (14.69)43.23 (17.60)31.29 (12.20)0.006NANANANA
NPI16.17 (14.34)22.40 (16.48)13.95 (12.94)0.047NANANANA
ZBINANANANA31.64 (16.06)49.23 (15.90)28.01 (13.59)0.000
Rel.SSNANANANA22.21 (11.21)34.85 (11.89)19.60 (9.19)0.000
SF-12-PCSNANANANA49.80 (10.18)44.20 (12.58)50.96 (9.32)0.037
SF-12-MCSNANANANA47.75 (11.48)34.81 (9.25)50.42 (10.02)0.000
BRS—Brief Resilience Scale; EQ-5D—EuroQoL-5D index score or visual analogue scale (VAS); HADS—Hospital Anxiety and Depression Scale, anxiety or depression subscale; NPI—Neuropsychiatric Inventory; PDQ-39—Parkinson’s Disease Questionnaire; Rel.SS—Relatives’ Stress Scale; RSS—Relationship Satisfaction Scale; SF-12—Short-Form 12 Health Survey, physical health (PCS) or mental health (MCS) subscale; ZBI—Zarit Burden Interview.
Table 4. Spearman correlation analyses among characteristics of people with Lewy body-related cognitive disorder and clinical outcomes (n = 76).
Table 4. Spearman correlation analyses among characteristics of people with Lewy body-related cognitive disorder and clinical outcomes (n = 76).
BRSAgeClinical Symptoms (ys)H&YUPDRS-IIISE-ADLMoCARSSHADS-AHADS-DEQ5D-indexEQ5D-VASPDQ-39
Age0.132
Duration of clinical symptoms0.116−0.163
H&Y−0.081−0.0270.387 **
UPDRS- III−0.2950.0000.351 **0.539 ***
SE-ADL0.1270.120−0.303−0.652 ***−0.609 ***
MoCA0.051−0.1600.142−0.185−0.2210.371 **
RSS0.2670.352 **−0.156−0.187−0.1500.1980.060
HADS-A−0.522 ***0.2760.1310.1340.050−0.0700.055−0.400 ***
HADS-D−0.223−0.340 **0.2640.3200.218−0.354 **−0.019−0.383 **0.497 ***
EQ5D- index0.1050.173−0.293−0.430 ***−0.465 ***0.566 ***−0.0720.119−0.205−0.437 ***
EQ5D- VAS0.399 ***0.331**−0.145−0.184−0.2430.242−0.0050.315−0.417 ***−0.400 ***0.388 **
PDQ-39−0.362 **−0.2520.356 **0.402 ***0.471 ***−0.418 ***0.002−0.2850.360 **0.420 ***−0.506 ***−0.389 **
NPI-total−0.163−0.1740.1990.1790.284−0.340 **−0.073−0.1620.2670.313−0.366 **−0.1420.463 ***
** p < 0.002, *** p < 0.001 (Bonferroni adjustment applied). Abbreviations: BRS—Brief Resilience Scale; EQ-5D—EuroQoL-5D index score or visual analogue scale (VAS); H&Y—Hoehn and Yahr scale; HADS—Hospital Anxiety and Depression Scale, anxiety or depression subscale; MoCA—Montreal Cognitive Assessment; NPI—Neuropsychiatric Inventory; PDQ-39—Parkinson’s Disease Questionnaire; RSS—Relationship Satisfaction Scale; SE-ADL—Schwab and England Activities of Daily Living scale; UPDRS-III—Unified Parkinson’s Disease Rating Scale part III.
Table 5. Spearman correlation analyses among care partners’ characteristics (n = 76).
Table 5. Spearman correlation analyses among care partners’ characteristics (n = 76).
BRSAgeCg hrsCg yrsRSSZBIHADS-AHADS-DSF12 PCSSF12 MCSEQ5D indexEQ5D VAS
Age0.036
Caregiving weekly hours−0.108−0.036
Caregiving years−0.2130.1830.310
RSS0.350 **0.143−0.200−0.023
ZBI−0.444 ***−0.3190.2900.191−0.608 ***
HADS-A−0.654 ***−0.0430.0360.194−0.434 ***0.624 ***
HADS-D−0.543 ***−0.0420.1390.192−0.535 ***0.549 ***0.696 ***
SF-12-PCS0.178−0.096−0.081−0.0790.114−0.012−0.199−0.290
SF-12-MCS0.557 ***0.172−0.252−0.1270.486 ***−0.553 ***−0.709 ***−0.654 ***0.014
EQ5D-index0.348 **−0.111−0.093−0.1690.32−0.226−0.510 ***−0.536 ***0.651 ***0.399 ***
EQ5D-VAS0.382 **−0.094−0.187−0.1010.265−0.187−0.377 **−0.346 **0.604 ***0.379 **0.518 ***
Rel.SS−0.446 ***−0.2530.423 ***0.242−0.622 ***0.865 ***0.623 ***0.604 ***−0.028−0.669 ***−0.296 ***−0.218
** p < 0.003, *** p < 0.001 (Bonferroni adjustment applied). Abbreviations: BRS—Brief Resilience Scale; Cg—caregiving hours or years; EQ-5D—EuroQoL-5D index score or visual analogue scale (VAS); HADS—Hospital Anxiety and Depression Scale, anxiety or depression subscale; NPI—Neuropsychiatric Inventory; Rel.SS—Relatives’ Stress Scale; RSS—Relationship Satisfaction Scale; SF-12—Short-Form 12 Health Survey, physical health (PCS) or mental health (MCS) subscale; ZBI—Zarit Burden Interview.
Table 6. Linear regression analyses of resilience and key outcomes in people with Lewy body-related cognitive disorders and care partners and care partners.
Table 6. Linear regression analyses of resilience and key outcomes in people with Lewy body-related cognitive disorders and care partners and care partners.
Resilience in People with People with Lewy Body-Related Cognitive Disorders Resilience in Care Partners
BSE Bβt95% CIAdjusted R2F-ValueBSE Bβt95% CIAdjusted R2F-Value
EQ-5D-index0.040.050.080.68−0.069… 1.40−0.0070.4670.100.030.373.38 **0.041 … 0.1580.12211.434 **
EQ-5D-VAS7.472.560.322.922.368 … 12.5730.0918.511 **6.002.070.322.91 **1.883 … 10.1110.0908.437 **
HADS-A−2.680.60−0.46−4.47 ***−3.881 … −1.4870.20219.971 ***−3.580.44−0.68−8.05 ***−4.461 … −2.6910.46064.859 ***
HADS-D−0.800.44−0.21−1.83−1.666 … 0.0690.0313.360−2.570.46−0.55−5.64 ***−3.482 … −1.6650.29131.849 ***
RSS2.431.190.232.05 *0.069 … 4.7980.0414.207 *4.901.350.393.64 **2.214 … 7.5770.14013.233 **
PDQ-39−7.532.23−0.37−3.38−11.981 … −3.0860.12211.392 **N/A
ZBIN/A−9.751.96−0.50−4.98−13.661… −5.8470.24024.749 ***
Rel.SS−7.071.35−0.52−5.22 ***−9.761 … −4.3710.26027.290 ***
SF-12 PCS3.261.390.262.35 *0.496 … 6.0170.0575.526 *
SF-12-MCS7.571.360.545.57 ***4.859 … 10.2750.28631.009 ***
* p < 0.05, ** p < 0.01, *** p < 0.001. Abbreviations: B—unstandardised beta; β—standardised beta; SE B—standard error of unstandardised beta; t—t-test statistic; EQ-5D, EuroQoL-5D index score or visual analogue scale (VAS); HADS—Hospital Anxiety and Depression Scale, anxiety or depression subscale; NPI—Neuropsychiatric Inventory; Rel.SS—Relatives’ Stress Scale; RSS—Relationship Satisfaction Scale; SF-12 MCS—Short-Form 12 Health Survey, mental health subscale.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Vatter, S.; Leroi, I. Resilience in People with Lewy Body Disorders and Their Care Partners: Association with Mental Health, Relationship Satisfaction, and Care Burden. Brain Sci. 2022, 12, 148. https://doi.org/10.3390/brainsci12020148

AMA Style

Vatter S, Leroi I. Resilience in People with Lewy Body Disorders and Their Care Partners: Association with Mental Health, Relationship Satisfaction, and Care Burden. Brain Sciences. 2022; 12(2):148. https://doi.org/10.3390/brainsci12020148

Chicago/Turabian Style

Vatter, Sabina, and Iracema Leroi. 2022. "Resilience in People with Lewy Body Disorders and Their Care Partners: Association with Mental Health, Relationship Satisfaction, and Care Burden" Brain Sciences 12, no. 2: 148. https://doi.org/10.3390/brainsci12020148

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop