Skip to main content

Resilience in patients and family caregivers living with congenital disorders of glycosylation (CDG): a quantitative study using the brief resilience coping scale (BRCS)

Abstract

Background

Patients and family caregivers living with Congenital Disorders of Glycosylation (CDG) experience a heavy burden, which can impact their resiliency and quality of life. The study’s purpose was to measure the resilience levels of patients and family caregivers living with CDG using the brief resilience coping scale.

Methods

We conducted an observational, cross-sectional study with 23 patients and 151 family caregivers living with CDG. Descriptive analyses were performed to characterize patients with CDG and family caregivers’ samples. Additionally, we assessed correlations between resilience and specific variables (e.g., age, academic degree, time until diagnosis) and examined resilience differences between groups (e.g., sex, marital status, occupation, professional and social support).

Results

GNE myopathy was the most prevalent CDG among patients, while in family caregivers was PMM2-CDG. Both samples showed medium levels of resilience coping scores. Individuals with GNE myopathy had significantly higher scores of resilience compared to patients with other CDG. Resilience was positively correlated with educational degree in patients with CDG. Family caregivers had marginally significant higher scores of resilience coping if they received any kind of professional support or had contact with other families or people with the same or similar disease, compared with unsupported individuals.

Conclusions

Despite the inherited difficulties of living with a life-threatening disease like CDG, patients and family caregivers showed medium resilient coping levels. Resilience scores changed significantly considering the CDG genotype, individual's academic degree and professional and social support. These exploratory findings can empower the healthcare system and private institutions by promoting the development of targeted interventions to enhance individuals` coping skills and improve the overall well-being and mental health of the CDG community.

Background

The concept of resilience arose in 1970, and since then, numerous studies have proliferated in the field of psychology and clinical medicine [1,2,3,4,5,6]. Resilience comprises a two-step process: i) exposure to significant life adversities and ii) overcoming the challenges to achieve positive outcomes [7]. Therefore, resilience represents a mechanism of coping and rising by adapting to changes, confronting negative stressors, and avoiding the manifestation of significant dysfunctions [8]. Research has proved that resilience is key to individuals‘ mental health, well-being, and quality of life (QoL) [9,10,11].

Patients facing a chronic or rare disease often suffer from mental health conditions, like depression and anxiety, at higher rates than the general population [12, 13]. This may impact resilience levels and decrease the health-related quality of life (HRQoL) across social, physical, and psychological domains [1420]. In recent years, studies have also highlighted the role of resilience in managing chronic diseases. High levels of resilience could prevent disease onset and promote health, accelerate healing, facilitate a productive life, and enhance overall well-being despite chronic illness [21, 22].

A family caregiver is a family member, relative, or friend who provides unpaid support for a person with a chronic or disabling condition [23]. They are vital elements in providing complex healthcare tasks (from basic daily living activities to monitoring medical treatment) in addition to social, psychological, emotional, and financial support [24]. Caring for someone can be associated with personal satisfaction in relieving another’s discomfort, feeling useful, and finding meaning in life [25]. However, family caregivers found their situations extremely demanding, which causes a heavy care burden affecting their personal QoL and consequently increasing the risk of developing mental health issues [2629]. By adopting a resilient coping style, family caregivers can overcome stressful conditions, cope with complex challenges, and adjust to the negative impact, reducing the burden and emotional distress [30].

Congenital disorders of glycosylation (CDG) belong to a group of rare diseases characterized by genetic defects in glycoprotein and glycolipid glycans modification pathways [31]. The first CDG was reported in 1980 [32] and, since then, the number of CDG have increased exponentially, with 163 CDG discovered so far [33]. The assortment and complexity of genetic and clinical features as the multi-organ impairment, even among patients with the same CDG, cause high heterogeneity in this group of rare diseases [34]. The most common symptoms are related to the central nervous system (e.g., neurological impairment and motor disabilities) [35]. Still, other organs (e.g., eyes) [36] and systems (e.g., hepatic, cardiovascular and immune) [3739] can be affected, causing severe problems. Factors like the complex nature of CDG, severity of symptoms, lack of information, early onset, delay until a final diagnosis [40], the small number of approved therapies [41] restricted to symptom management [42, 43] and the lack of support from informed healthcare and educational providers [44] can cause emotional distress in CDG patients and family caregivers.

In the last two decades, numerous scales were developed to measure resilience levels in different contexts for a specific population, intervention, or outcomes based on different components [45]. The Brief Resilience Coping Scale (BRCS) has been applied to different samples, including the general population [46, 47], family caregivers [48, 49], and persons living with chronic diseases [18, 19, 50, 51]. The lack of published studies on resilience in rare diseases [15] emphasizes the significant gap in research. This oversight can be useful to map indicators of overall psychological adjustment and inform the development of effective interventions to increase resilient coping in vulnerable communities.

The major purpose of this research was to measure the resilience levels of patients and family caregivers living with CDG using the BRCS. Additionally, we aimed to explore associations between resilience and specific variables (e.g., age, academic degree, time until diagnosis) and resilience differences between groups (e.g., sex, marital status, occupation, professional and social support) in both samples. As far as we know, this is the first study evaluating the resilience scores of patients and family caregivers living with CDG. This study sought to provide researchers with deeper insights to help people living with CDG to develop specific coping strategies to address the complex demands of facing the illness burden. Likewise, we intend to raise awareness for mental health issues and create opportunities to advance qualitative research in rare diseases.

Methods

Study design

This study followed an observational, cross-sectional design with descriptive and analytical purposes. It is part of a major research (CDG Journey Mapping) that aimed to characterize the CDG community regarding their disease experiences (e.g., physical symptoms and diagnosis onset, informational needs, support and resources available to the CDG community, and identification of gaps on professional and patients’ group support). The CDG Journey Mapping Questionnaire was composed of two distinct survey versions: one for individuals with CDG, their family members, and/or caregivers, and another for professionals such as healthcare providers and researchers. In this study, we concentrated on patients’ and family caregivers’ answers from different sections, with the main emphasis on the "CDG Skills" questionnaire section. The questionnaire was available in English, Spanish, Portuguese, and Italian languages.

Participants and eligibility criteria

According to the most recent paper on CDG epidemiology, the number of people living with CDG identified worldwide in 2022 is 3057 [ref]. Despite the identification of 163 genes linked to CDG [33], only 93 CDG cases have available epidemiological data, suggesting that a significant number of CDG cases may still go unreported [ref]. To be eligible, all participants had to be at least 18 years old, and patients must have a confirmatory CDG diagnosis. To be considered a family caregiver, familiars were required to have a relationship with a person living with CDG (e.g., mother, father, sibling, or grandparent) and be involved to some degree in caring for that person. In total, 193 individuals responded to the CDG Journey Mapping Questionnaire (Fig. 1). Nineteen individuals were excluded due to duplicate responses, absence of a confirmed CDG diagnosis, involvement with NGLY1-congenital disorder of deglycosylation (NGLY1-CDDG) and inconsistency in responses (Fig. 1). The sample analyzed in this study included 23 persons living with CDG (13.2%) and 151 family caregivers (86.8%).

Fig. 1
figure 1

Strobe flowchart on participants eligibility and sample included and analyzed in the study

Instruments

Sociodemographic data We collected information about participants’ sex, age, marital status, educational degree, and current occupation.

Information about CDG clinical features, and professional and social support Both individuals living with CDG and family caregivers were asked to indicate the CDG gene mutation and how long it took to reach a final CDG diagnosis. We also questioned the participants if they were receiving any kind of healthcare professional support (from whom, and/or from which medical specialty) and if they are currently in contact with other families or people with the same or a similar disease (social support).

The Brief Resilience Coping Scale (BRCS) The BRCS measures how people cope with stress in an adaptive manner by identifying individuals with lower levels of resilience, aiming to intervene to enhance their resilience coping skills [52]. This scale was created by Sinclair and Wallston (2004), based on a nine-item version, and ended in a final version of four items scale [52]. The themes that emerged from these four items were tenacity, optimism, creativity, an aggressive approach to problem-solving, and a commitment to extract positive growth from difficult situations [52]. Each item was answered based on a 5-point Likert scale, from “Does not describe you at all” to “It describes you very well”. The sum of the scores ranged from 4 to 20. Low-resilient copers scored 13 or less, medium-resilient individuals scored between 14 and 17, and high-resilient individuals scored more than 17 [52]. An exploratory factorial analysis performed with the total sample (N = 174) confirmed the adequacy of the scale (Kaiser–Meyer–Olkin, KMO = 0.772; Bartlett’s test of sphericity χ2(6) = 145.446, p < 0.001) and the existence of one factor including all items, which explained 59.15% of the total variance (factor loadings between 0.735 and 0.789). The scale also presented a good internal consistency (Ω = 0.768) and adequate inter-item correlation mean (IICM = 0.455) and item-total correlations (between 0.525 and 0.596).

Procedure

The study received ethical approval from the Faculty of Psychology at the University of Lisbon and all participants provided informed consent electronically. The online e-questionnaire was disseminated through various channels, including direct messaging via email, WhatsApp, Facebook, and Twitter, and remained active from May 15, 2021, to October 15, 2021.

Statistical analysis

We used the software package IBM SPSS Statistics for Windows, version 27.0, to perform all statistical analyses. Descriptive analyses were performed to characterize the samples of persons living with CDG and family caregivers. We run Spearman coefficient to assess correlations between resilience and specific variables (i.e., age, academic degree, time until a final CDG diagnosis) in each sample. Independent t-tests were also used to compare resilience scores between patients and family caregivers’ samples or between other independent groups (i.e., sex, marital status, occupation, contact with other families/persons with the same or a similar CDG, receiving professional support regarding CDG condition).

Results

Sample characteristics: sociodemographic data, CDG clinical features, professional and social support, and resilient coping.

Table 1 presents the results regarding the sociodemographic characteristics of the two samples. Most participants were female between 25 and 54 years old (person living with CDG: 86.9%, family caregivers: 88.0%) and were married or living in a life-in partnership. Most family caregivers had a higher academic degree (78.2%), but only 47.8% of the persons living with CDG had a high degree or equivalent. Although most participants were employed or self-employed, a relevant percentage of persons with CDG were unemployed and unable to work due to their health condition (21.7%).

Table 1 Sociodemographic characteristics of the participants

Table 2 shows CDG clinical characterization, time until a final diagnosis, and professional and social support received. The most frequent CDG among the participants living with CDG was GNE myopathy, followed by PMM2-CDG. Additionally, one participant with DDOST- and one with PIGN-CDG were included in the ‘Other' CDG category. Approximately, half of the family caregivers had relatives with PMM2-CDG; other CDG included ALG6-, PIGA-, ALG1-, and PIGN-CDG. Most participants received a final diagnosis of CDG up to 3 years (persons living with CDG: 69.5%, family caregivers: 74.1%). A higher percentage of family caregivers reported having professional support (44.4%) compared with those living with CDG (30.4%). Several healthcare specialties delivered this support. Most persons with CDG receiving professional support were followed by a psychologist (71.4%). Regarding family caregivers, 28.4% were followed by a psychologist, 26.9% by a genetic counselor, 19.4% by a nutritionist or dietitian, and 17.9% by a social worker or a psychiatrist. A large proportion of participants were in contact with other families or people with the same or similar disease.

Table 2 Information about participants’ CDG genotype, time until a final diagnosis, and professional and social support

Table 3 presents the resilience mean values and classification for individuals living with CDG and family caregivers, indicating that, overall, both groups have medium to high resilience coping levels.

Table 3 Means, standard deviations, and classification (low, medium, and high resilient coping) of participants’ resilience levels measured with the BRCS

Resilient coping: correlations and group comparisons considering sociodemographic and clinical data, and information about professional and social support

Sociodemographic characteristics

Persons with CDG had a higher resilience mean value than family caregivers, although the difference was not statistically significant (T(172) = 1.525, p = 0.129). No significant differences regarding resilient coping mean scores were found between males and females, both in persons with CDG (T(21) = − 1.396, p = 0.117) and family caregivers (T(149) = 0.038, p = 0.969). Concerning the marital and employment status, we compared individuals who are single with those currently in marital or nonmarital romantic relationships and participants who were currently employed with those who were not. We did not find significant resilience differences between these groups for both persons living with CDG (Marital status: T(21) = − 0.105, p = 0.917; Occupation: T(21) = − 0.074, p = 0.942) and family caregivers (Marital status: T(149) = − 1.220, p = 0.224; Occupation: T(149) = 0.794, p = 0.428). Furthermore, the relationship between resilient coping and age was not statistically significant in either samples (persons with CDG: rs = .− 0.023, p = 0.918; family caregivers: rs = 0.104, p = 0.205). Conversely, a positive, strong, and significant correlation was found between academic degree and resilience scores among persons with CDG, suggesting that those with higher educational degree tend to report higher resilience (rs = 0.448, p = 0.032); the same conclusion cannot be drawn for family caregivers (rs = − 0.010, p = 0.905).

CDG genotype and time until a final CDG diagnosis

We compared the resilience mean scores between persons with GNE myopathy and PMM2-CDG or other CDG, based on the different impacts of the disease on motor skills and cognitive development. We found that persons with GNE myopathy had significantly higher resilience scores compared with the remaining persons with CDG (T(21) = − 2.174, p = 0.041; GNE myopathy: M = 16.86, SD = 1.90; other CDG: M = 14.78, SD = 2.73).

We did not find significant correlations between the time until a final CDG diagnosis and resilience coping scores for both persons living with CDG (rs = 0.192, p = 0.379) and their family caregivers (rs = − 0.133, p = 0.104). Similarly, the correlation between resilience and time until a final diagnosis was not statistically significant when we run the analysis for persons with GNE myopathy (rs = 0.203, p = 0.487) and those with other CDG (rs = 0.052, p = 0.895) separately.

Professional and social support

The resilience scores for each participant’s sample were compared considering i) whether individuals were receiving professional support regarding their CDG condition (any support vs. no support) and ii) whether individuals were currently in contact with other families or persons with the same or a similar CDG (yes vs. no). We found that family caregivers caring for individuals with CDG had marginally significant higher scores of resilience coping if they were receiving any kind of professional support compared with those who have not (T(149) = − 1.899, p = 0.059; any support M = 15.58, SD = 2.66; no support M = 14.71; SD = 2.89). No significant differences were found between persons with CDG who received professional support with those unsupported (T(7.964) = − 0.718, p = 0.493).

Moreover, family caregivers who reported having contact with other families or people with the same or similar disease also had marginally significantly higher resilience coping scores compared with those who did not (T(149) = 1.973, p = 0.050; contact M = 15.29, SD = 2.77; no contact M = 14.04; SD = 2.87). This statistical analysis was not performed for persons with CDG, since almost all had contact with other families and/or persons with similar health conditions.

Discussion

Resilience directly shapes how people live and, importantly, can impact the health status and the capacity to face a life-threatening disease. The main goal of this study was to measure the levels of resilience in patients and family caregivers living with CDG, using the BRCS. In addition, we aimed to explore if and how resilience scores change considering participants` sociodemographic characteristics, CDG clinical features, and professional and social support.

Our results showed that most persons living with CDG and family caregivers exhibited medium or high resilience levels, which corroborate with previous findings reported for other severe diseases [15, 18, 19, 53, 54]. Although the disease can have a different impact on patients and family caregivers’ lives, these are encouraging results as both seem to maintain interesting levels of tenacity and resilience, despite the demanding challenges and complexities of living with this serious condition. This research also showed that people with GNE myopathy had significantly higher resiliency than those with PMM2-CDG or other CDG. GNE myopathy is a physical disorder characterized by muscle weakness and atrophy with later onset (e.g., usually during early adulthood) [53]. On the other hand, PMM2-CDG presents early onset manifestations with frequently severe neurological disability [54]. The late onset and the absence of neurological impairment in GNE myopathy individuals could affect less their coping skills and overall well-being, resulting in higher resilience behaviors.

The positive significant correlation between resilience coping scores and CDG patients´ educational degree is also consistent with previous investigations [55, 56]. It is well-reported that more educated people are better prepared to face challenges and have better psychosocial health than less educated people [57]. For example, in a study carried out with patients with sickle cell disease (a genetic disorder causing anemia and intense episodes of extreme pain), the authors demonstrated a strong correlation between education level and psychological resilience [58]. Furthermore, research in patients with chronic kidney disease revealed that factors affecting the resilience of the high-risk group included level of education and health-promoting behaviors [59]. Nevertheless, it is noteworthy to underlie that most patients in this study have GNE myopathy, a rare condition devoid of neurological dysfunction, which enables educational progression, compared with other severe forms of CDG (e.g., PMM2-CDG).

Regarding family caregivers, we saw marginally significant higher levels of resilience for those who received professional and social support compared with unsupported individuals. Research on caregivers caring for patients with dementia has demonstrated that the access and acceptance of professional support are associated with decreased burden, increased satisfaction [60] and well-being [61], and self-efficacy in managing problem behaviors [62], promoting caregiver resilience [63]. Similarly, Spence et al. (2008) concluded that family caregivers caring for patients with advanced chronic obstructive pulmonary disease need professional (and social) support to ensure their physical and emotional health and to promote resilience [64]. Usually, in rare diseases, professional support starts with physicians providing general medical information to family caregivers regarding the disease, treatment options and conceptualizing life changes and implications for the future [65]. However, given the severe impairment of overall patients’ functioning provoked by these diseases and the expected burden on families in the long term, it is imperative to provide life-long multidisciplinary healthcare support for both patients and caregivers [66]. In our study, we found a high percentage of participants who reported not having any professional healthcare support. Although the data were collected in several countries, and the reason for not being accompanied by a professional was not determined, we understand that this may be a worrying sign of lack of available resources (both human and financial) to access this support. In this sense, health institutions and patient associations must continue to make efforts to assess the needs and support patients with CDG and their families throughout their lives.

Regarding social support, several studies on chronic diseases have showed an association between overall social support and family caregivers’ resilience [67, 68]. People with developed social networks tend to use more positive coping strategies and have lower levels of depression [69]. In addition, Wilks and co-workers (2008) evidenced that support from family and friends as external resources may function as a protective factor of resilience [70]. Other study remarked that caregivers who have more family support were more prone to be resilient and have higher QoL [71]. Rare diseases patients’ organizations (POs) also can empower family caregivers by building a community and connecting parents of affected children with common diagnoses or similar diseases with peers, healthcare professionals, and researchers, enhancing social and professional support [72,73,74]. POs can also play a crucial role by promoting health literacy [75, 76], raising research funding, and speed up patient access to therapeutic care [75]. The CDG community can obtain informational support related to research, clinical trials, treatment options, epidemiology, care, and other areas on websites like CDG Hub [77], CDG Care [78], World CDG Organization [84], and ClinicalTrials.gov [80]. The World CDG Organization website also includes a mental health section with toolkits and guides to help people living with CDG and family caregivers develop coping strategies to increase their resilience levels.

Limitations and strengths

The inherent difficulties associated with recruiting participants for studies on rare diseases and the high heterogeneity of CDG might compromise the representativeness of samples, impairing the generalization of the results obtained. It is essential to recognize that CDG is a rare condition usually characterized by severe clinical manifestations, including high neurological commitment, which limits the participation of many patients in this type of research. In our study, only few persons living with CDG answered the questionnaire; most patients were diagnosed with GNE myopathy, which is a physical disorder with different onset and less severe symptomatology compared to other CDG. Partly due to this challenging context, this work was not exhaustive on examining other factors that might explain resilience variability. Persons with the same CDG type may differ significantly regarding their disability degree and experience a wide variation of the disease severity across time. Specific aspects related to the patient's journey (e.g., experiences regarding diagnosis disclosure), or stage of disease when participating in the study were also not investigated.

Nonetheless, our study also has strengths. This is the first research that explored the levels of resilience in patients and family caregivers living with CDG worldwide and explore its relationships with sociodemographic characteristics, CDG clinical features, and professional and social support. Therefore, the study’s originality might motivate future research on mental health in the rare disease field. Moreover, we used a well-validated and reliable psychometric scale to assess resiliency in CDG patients and family caregivers. This scale is particularly useful for people who have difficulty completing longer questionnaires, as happens with CDG patients. These results encourage us to continue to study the mechanisms and coping skills that allow the maintenance of moderate levels of resilience in relatives and patients with CDG in more and less aggressive phenotypes. On the other hand, it will be relevant to understand which fringes of the CDG community the resilience scores are lower to assess the needs and develop specific intervention programs.

Conclusions

This study concluded that most persons living with CDG and family caregivers showed medium to high resilience levels, despite the inherited difficulties of living with a life-threatening disease. These are positive and encouraging results, considering the high diversity and severity of CDG clinical manifestations, lack of information, insufficient treatment options, and taking into consideration the challenging journey to get a final and accurate diagnosis. Persons living with GNE myopathy have a milder form of the disease, compared with other CDG, which can contribute to reducing stress factors that jeopardize their resilience, allowing them to feel more positive and confident about the future. On the other hand, the professional and social support that family caregivers receive can strengthen their abilities to cope with the challenging demands of caring for people living with CDG, increasing or not diminishing their levels of resilience. These findings gave a first exploratory overview of how resilience scores change in individuals with different characteristics and receiving or not professional and social support. This is extremely useful to develop further research in vulnerable communities with severe forms of illness and develop appropriate interventions and training programs to help the CDG community increase their coping skills and considerably improve their well-being and QoL.

Availability of data and materials

Not applicable.

Abbreviations

BRCS:

Brief resilience coping scale

CDG:

Congenital disorders of glycosylation

GNE:

UDP-N-acetylglucosamine 2-epimerase/N-acetylmannosamine kinase

HRQoL:

Health-related quality of life

PMM2:

Phosphomannomutase deficiency

PO:

Patient  organizations

QoL:

Quality of life

References

  1. Anthony EJ. Introduction: The syndrome of the psychologically vulnerable child. In: Anthony EJ, Koupernik C, editors. The child in his family: Children at Psychiatric Risk, vol. 3. New York: Wiley; 1974. p. 3–10.

    Google Scholar 

  2. Garmezy N. Vulnerability research and the issue of primary prevention. Am J Orthopsychiatry. 1971;41:101–16.

    Article  CAS  PubMed  Google Scholar 

  3. Garmezy N. The study of competence in children at risk for severe psychopathology. In: Anthony EJ, Koupernik C, editors. The child in his family: Children at Psychiatric risk: III. Wiley; New York: 1974. p. 547.

  4. Murphy LB, Moriarty A. Vulnerability, coping, and growth: From infancy to adolescence. New Haven, CT: Yale University Press; 1976.

    Google Scholar 

  5. Rutter M. Protective factors in children’s responses to stress and disadvantage. In: Kent MW, Rolf JE, editors. Primary prevention in psychopathology: Social competence in children, vol. 8. NH: University Press of New England; Hanover; 1979. p. 49–74.

    Google Scholar 

  6. Werner E, Smith R. Vulnerable but invincible: A study of resilient children. New York: McGraw-Hill; 1982.

    Google Scholar 

  7. Luthar SS, Cicchetti D, Becker BB. The construct of resilience: a critical evaluation and guidelines for future work. Child Dev. 2000;71:543–62.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Babić R, Babić M, Rastović P, Ćurlin M, Šimić J, Mandić K, Pavlović K. Resilience in health and illness. Psychiatr Danub. 2020;32(Suppl 2):226–32.

    PubMed  Google Scholar 

  9. Almedom AM. Resilience research and policy/practice discourse in health, social, behavioral, and environmental sciences over the last ten years. Afr Heal Sci. 2008;8(Suppl 1):5–13.

    Google Scholar 

  10. Friedly L. Mental health, resilience and inequalities. World Health Organization. 2009. https://www.womenindisplacement.org/sites/g/files/tmzbdl1471/files/2020-10/Mental%20health%2C%20resilience%20and%20inequalities.pdf. Accessed 15 April 2023.

  11. Windle G. The contribution of resilience to healthy ageing. Perspect Public Heal. 2012;132:159–60.

    Article  Google Scholar 

  12. Moussavi S, Chatterji S, Verdes E, Tandon A, Patel V, Ustun B. Depression, chronic diseases, and decrements in health: results from the World Health Surveys. Lancet. 2007;370:851–8.

    Article  PubMed  Google Scholar 

  13. Uhlenbusch N, Swaydan J, Höller A, Löwe B, Deeping MK. Affective and anxiety disorders in patients with different rare chronic diseases: a systematic review and meta-analysis. Psychol Med. 2021;51:1–11.

    Article  Google Scholar 

  14. Dymecka J, Gerymski R. Role of resiliency in the relationship between disability and quality of life of people with multiple sclerosis: mediation analysis. Adv Psychiatry Neurol. 2020;29:77–84.

    Google Scholar 

  15. Kirby JS, Butt M, Esmann S, Jemec GBE. Association of resilience with depression and health-related quality of life for patients with hidradenitis suppurativa. JAMA Dermatol. 2017;153:1263–9.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Mace RA, Doorley J, Bakhshaie J, Cohen JE, Vranceanu AM. Psychological resiliency explains the relationship between emotional distress and quality of life in neurofibromatosis. J Neurooncol. 2011;155:125–32.

    Article  Google Scholar 

  17. López-Pina JA, Meseguer-Henarejos AB, Gascón-Cánovas JJ, Navarro-Villalba DJ, Sinclair VG, Wallston KA. Measurement properties of the brief resilient coping scale in patients with systemic lupus erythematosus using rasch analysis. Health Qual Life Outcomes. 2016;14:1–8.

    Article  Google Scholar 

  18. Hinz A, Friedrich M, Kuhnt S, Zenger M, Schulte T. The influence of self-efficacy and resilient coping on cancer patients’ quality of life. Eur J Cancer Care. 2018;28:1–8.

    Google Scholar 

  19. Mihic-Gongora L, Jiménez-Fonseca P, Hernandez R, et al. Psychological distress and resilience in patients with advanced cancer during the Covid-19 pandemic: the mediating role of spirituality. BMC Palliat Care. 2022;21:1–7.

    Article  Google Scholar 

  20. Mehnert A, Brähler E, Faller H, Härter M, Keller M, Schulz H, Wegscheider K, Weis J, Boehncke A, Hund B, Reuter K, Richard M, Sehner S, Sommerfeldt S, Szalai C, Wittchen HU, Koch U. Four-Week prevalence of mental disorders in patients with cancer across major tumor entities. J Clin Oncol. 2014;32:3540–6.

    Article  PubMed  Google Scholar 

  21. Solano JPC, da Silva AG, Soares IA, Ashmawi HA, Vieira JE. Resilience and hope during advanced disease: a pilot study with metastatic colorectal cancer patients. BMC Palliat Care. 2016;2016:70.

    Article  Google Scholar 

  22. Choi KS, Park JA, Lee J. The effect of symptom experience and resilience on quality of life in patients with colorectal cancers. Asian Oncol Nurs. 2012;12:61–8.

    Article  Google Scholar 

  23. Caregiver assessment: principles, guidelines and strategies for change. Family Caregiver Alliance: National Center of Caregiving. Report from a national consensus development conference. Volume I. 2016. https://www.caregiver.org/caregiver/jsp/content/pdfs/v1_consensus.pdf. Accessed March 27, 2023.

  24. Goldzweig G, Merims S, Ganon R, Peretz T, Altman A, Baider L. Informal caregiving to older cancer patients: preliminary research outcomes and implications. Ann Oncol. 2013;10:2635–40.

    Article  Google Scholar 

  25. Adelman RD, Tmanova LL, Delgado D, Dion S, Lachs MS. Caregiver burden: a clinical review. JAMA. 2014;311:1052–60.

    Article  CAS  PubMed  Google Scholar 

  26. Rare Diseases: understanding this Public Health Priority. Eurordis: European Organization for Rare Diseases. 2005. https://www.eurordis.org/wp-content/uploads/2009/12/princeps_document-EN.pdf. Accessed April 3, 2023.

  27. Öhman M. The experiences of close relatives living with a person with serious chronic illness. Qual Health Res. 2004;14:396–410.

    Article  PubMed  Google Scholar 

  28. Semere W, Althouse AD, Rosland AM, White D, Arnold R, Chu E, Smith TJ, Schenker Y. Poor patient health is associated with higher caregiver burden for older adults with advanced cancer. J Geriatr Oncol. 2021;12:771–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. van Roij J, Brom L, Sommeijer D, van de Poll-Franse L, Raijmakers N, eQuiPe study group. Self-care, resilience, and caregiver burden in relatives of patients with advanced cancer: results from the eQuiPe study. Support Care Cancer. 2021;12:7975–7984.

  30. Palacio GC, Krikorian A, Gómez-Romero MJ, Limonero JT. Resilience in caregivers: a systematic review. Am J Hosp Palliat Care. 2020;37:648–58.

    Article  Google Scholar 

  31. Chang IJ, He M, Lam CT. Congenital disorders of glycosylation. Ann Transl Med. 2018;24:477.

    Article  Google Scholar 

  32. Jaeken J, Vanderschueren-Lodeweyckx M, Casaer P, Snoeck L, Corbeel L, Eggermont E, Eeckels R. Familial psychomotor retardation with markedly fluctuating serum prolactin, FSH and GH levels, partial TBG-deficiency, increased serum arylsulphatase A and increased CSF protein: a new syndrome? Pediatr Res. 1980;14:179.

    Article  Google Scholar 

  33. Francisco R, Brasil S, Poejo J, Jaeken J, Pascoal C, Videira PA, Dos Reis FV. Congenital disorders of glycosylation (CDG): state of the art in 2022. Orphanet J Rare Dis. 2023;18(1):329.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Lefeber DJ, Freeze HH, Steet R., Kinoshita T. Congenital Disorders of Glycosylation (Chapter 45). in Essentials of Glycobiology [Internet]. 4th edition. Cold Spring Harbor (NY): Cold Spring Harbor Laboratory Press. 2022.

  35. Paprocka J, Jezela-Stanek A, Tylki-Szymańska A, Grunewald S. Congenital disorders of glycosylation from a neurological perspective. Brain Sci. 2021;11:88.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Francisco R, Pascoal C, Marques-da-Silva D, Morava E, Gole GA, Coman D, Jaeken J, Ferreira VDR. Keeping an eye on congenital disorders of O-glycosylation: a systematic literature review. J Inherit Metab Dis. 2019;42:29–48.

    Article  CAS  PubMed  Google Scholar 

  37. Marques-da-Silva D, Ferreira VDR, Monticelli M, Janeiro P, Videira PA, Witters P, Jaeken J, Cassiman D. Liver involvement in congenital disorders of glycosylation: a systematic review. J Inherit Metab Dis. 2017;40:195–207.

    Article  CAS  PubMed  Google Scholar 

  38. Marques-da-Silva D, Francisco R, Webster D, Ferreira VDR, Jaeken JPT. Cardiac complications of congenital disorders of glycosylation (CDG): a systematic review of the literature. J Inherit Metab Dis. 2017;40:657–72.

    Article  CAS  PubMed  Google Scholar 

  39. Monticelli M, Ferro T, Jaeken J, Ferreira VDR, Videira PA. Immunological aspects of congenital disorders of glycosylation (CDG): a review. J Inherit Metab Dis. 2016;39:765–80.

    Article  CAS  PubMed  Google Scholar 

  40. Francisco R, Marques-da-Silva D, Brasil S, Pascoal C, Dos Reis FV, Morava E, Jaeken J. The challenge of CDG diagnosis. Mol Genet Metab. 2019;126:1–5.

    Article  CAS  PubMed  Google Scholar 

  41. Brasil S, Pascoal C, Francisco R, Marques-da-Silva D, Andreotti G, Videira PA, Morava E, Jaeken J, Dos Reis FV. CDG therapies: from bench to bedside. Int J Mol Sci. 2018;27:1304.

    Article  Google Scholar 

  42. Altassan R, Radenkovic S, Edmondson AC, Barone R, Brasil S, Cechova A, Coman D, Donoghue S, Falkenstein K, Ferreira V, et al. International consensus guidelines for phosphoglucomutase 1 deficiency (PGM1-CDG): diagnosis, follow-up, and management. J Inherit Metab Dis. 2021;44:148–63.

    Article  CAS  PubMed  Google Scholar 

  43. Altassan R, Péanne R, Jaeken J, Barone R, Bidet M, Borgel D, Brasil S, Cassiman D, Cechova A, Coman D, et al. International clinical guidelines for the management of phosphomannomutase 2-congenital disorders of glycosylation: diagnosis, treatment and follow up. J Inherit Metab Dis. 2019;42(1):5–28.

    Article  CAS  PubMed  Google Scholar 

  44. Cardão C, Barros L, Francisco R, Silva D, Ferreira VR. Experiences of parents with children with congenital disorders of glycosylation: What can we learn from them? Disabil Health J. 2021;14:101065.

    Article  PubMed  Google Scholar 

  45. Windle G, Bennett KM, Noyes J. A methodological review of resilience measurement scales. Health Qual Life Outcomes. 2011;9:8.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Kocalevent RD, Zenger M, Hinz A, et al. Resilient coping in the general population: standardization of the brief resilient coping scale (BRCS). Health Qual Life Outcomes. 2017;15:251.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Murphy M, Lami A, Moret-Tatay C. An italian adaptation of the brief resilient coping scale (BRCS) and attitudes during the Covid-19 outbreak. Front Psychol. 2021;12:641213.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Perpiñá-Galvañ J, Orts-Beneito N, Fernández-Alcántara M, García-Sanjuán S, García-Caro MP, Cabañero-Martínez MJ. Level of burden and health-related quality of life in caregivers of palliative care patients. Int J Environ Res Public Health. 2019;23(4806):4806–19.

    Article  Google Scholar 

  49. Fusar-Poli L, Surace T, Meo V, Patania F, Avanzato C, Pulvirenti A, Aguglia E, Signorelli MS. Psychological well-being and family distress of Italian caregivers during the COVID-19 outbreak. J Community Psychol. 2022;50:2243–59.

    Article  PubMed  Google Scholar 

  50. Im JHB, Escudero C, Zhang K, Choi D, Sivakumar A, Booth GL, Sale J, Pritlove C, Advani A, Yu CH. Perceptions and correlates of distress due to the COVID-19 pandemic and stress management strategies among adults with diabetes: a mixed-methods study. Can J Diabetes. 2022;46:253–61.

    Article  PubMed  Google Scholar 

  51. Mayordomo T, Rubio-Belmonte C, García-Alandete J, Aragonés-Barberá I. Psychometric Properties of the Brief Resilient Coping Scale in a Sample of Stable Severe Mental Disorder Patients. Span. J. Psychol. 20020; 23:1–7.

  52. Sinclair VG, Wallston KA. The development and psychometric evaluation of the Brief Resilient Coping Scale. Assessment. 2004;11:94–101.

    Article  PubMed  Google Scholar 

  53. Carrillo N, Malicdan MC, Huizing M. GNE myopathy: etiology, diagnosis, and therapeutic challenges. Neurotherapeutics. 2018;15:900–14.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Lam C, Krasnewich DM. PMM2-CDG. 2005 [updated 2021 May 20]. In: Adam MP, Mirzaa GM, Pagon RA, Wallace SE, Bean LJH, Gripp KW, Amemiya A, editors. GeneReviews® [Internet]. Seattle (WA): University of Washington, Seattle; 1993–2023.

  55. Ang SY, Uthaman B, Ayre TC, Mordiffi SZ, Ang E, Lopez V. Association between demographics and resilience – a cross-sectional study among nurses in Singapore. Int Nurs Rev. 2018;65:459–66.

    Article  CAS  PubMed  Google Scholar 

  56. Hahn RA, Truman BI. Education improves public health and promotes health equity. Int J Health Serv. 2015;45(4):657–78.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Frankenberg E, Sikoki B, Sumantri C, Suriastini W, Thomas D. Education, vulnerability, and resilience after a natural disaster. Ecol Soc. 2013;18:1–16.

    Article  Google Scholar 

  58. Buscetta AJ, Abdallah KE, Floyd KJ, Wossenseged FS, Conn CA, Ramirez HC, Bonham VL. Examining resilience of individuals living with sickle cell disease in the COVID-19 pandemic. BMC Psychol. 2022;10:156.

    Article  PubMed  PubMed Central  Google Scholar 

  59. Ma LC, Chang HJ, Liu YM, Hsieh HL, Lo L, Lin MY, Lu KC. The relationship between health-promoting behaviors and resilience in patients with chronic kidney disease. Scientific World Journal. 2013:124973.

  60. Mohide EA, Pringle DM, Streiner DL, Gilbert JR, Muir G, Tew M. A randomized trial of family caregiver support in the home management of dementia. J Am Geriatr Soc. 1990;38:446–54.

    Article  CAS  PubMed  Google Scholar 

  61. Winslow BW. Family caregivers’ experiences with community services: a qualitative analysis. Public Health Nurs. 2003;20:341–8.

    Article  PubMed  Google Scholar 

  62. Gitlin LN, Corcoran M, Winter L, Boyce A, Walter WH. A randomized, controlled trial of a home environmental intervention: effect on efficacy and upset in caregivers and on daily function of persons with dementia. Gerontologist. 2001;41:4–14.

    Article  CAS  PubMed  Google Scholar 

  63. Cherry MG, Salmon P, Dickson JM, Powell D, Sikdar S, Ablett J. Factors influencing the resilience of carers of individuals with dementia. Rev Clin Gerontol. 2013;23:251–66.

    Article  Google Scholar 

  64. Spence A, Hasson F, Waldron M, Kernohan G, McLaughlin D, Cochrane B, Watson B. Active carers: living with chronic obstructive pulmonary disease. Int J Palliat Nurs. 2008;14:368–72.

    Article  PubMed  Google Scholar 

  65. Pelentsov LJ, Laws TA, Esterman AJ. The supportive care needs of parents caring for a child with a rare disease: a scoping review. Disabil Health J. 2015;8:475–91.

    Article  PubMed  Google Scholar 

  66. Toledano-Alhadef H, Mautner VF, Gugel I, Zipfel J, Haas-Lude K, Constantini S, Schuhmann MU. Role, function and challenges of multidisciplinary centres for rare diseases exemplified for neurofibromatosis type 1 syndrome. Childs Nerv Syst. 2020;36:2279–84.

    Article  PubMed  PubMed Central  Google Scholar 

  67. 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;33:1582–95.

    Article  PubMed  Google Scholar 

  68. Southwick SM, Sippel L, Krystal J, Charney D, Mayes L, Pietrzak R. Why are some individuals more resilient than others: the role of social support. World Psychiatry. 2016;15:77–9.

    Article  PubMed  PubMed Central  Google Scholar 

  69. Gallagher D, Ni Mhaolain A, Crosby L, Ryan D, Lacey L, Coen RF, Walsh C, Coakley D, Walsh JB, Cunningham C, Lawlor BA. Self-efficacy for managing dementia may protect against burden and depression in Alzheimer’s caregivers. Aging Ment Health. 2011;15:663–70.

    Article  PubMed  Google Scholar 

  70. Wilks SE, Croom B. Perceived stress and resilience in Alzheimer’s disease caregivers: testing moderation and mediation models of social support. Aging Ment Health. 2008;12:357–65.

    Article  PubMed  Google Scholar 

  71. Vellone E, Piras G, Talucci C, Cohen MZ. Quality of life for caregivers of people with Alzheimer’s disease. J Adv Nurs. 2008;61:222–31.

    Article  PubMed  Google Scholar 

  72. Band H, Stehr F, Murphy N. Contribution of patient organisations to the NCLs. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 2020;1866:1–9.

  73. Black AP, Baker M. The impact of parent advocacy groups, the Internet, and social networking on rare diseases: the IDEA League and IDEA League United Kingdom example. Epilepsia. 2011;52:102–4.

    Article  PubMed  Google Scholar 

  74. Nori M, Fisher-Vance D, Wuerth L, Colenso R, Donovan DJ. The global role of patients, advocates and caregivers in rare diseases. Future Rare Diseases. 2022;2.

  75. Nguyen CQ, Kariyawasam D, Alba-Concepcion K, Grattan S, Hetherington K, et al. Advocacy groups are the connectors: Experiences and contributions of rare disease patient organization leaders in advanced neurotherapeutics. Health Expect. 2022;25:3175–91.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Falcão M, Allocca M, Rodrigues AS, Granjo P, Francisco R, Pascoal C, Rossi MG, Marques-da-Silva D, Magrinho SCM, Jaeken J, Castro LA, et al. Community-based participatory framework to co-develop patient education materials (PEMs) for rare diseases: a model transferable across diseases. Int J Environ Res Public Health. 2023;20:968.

    Article  PubMed  PubMed Central  Google Scholar 

  77. CDG hub. Aknowledge base for the global CDG community. https://www.cdghub.com/. 2023.

  78. CDG care. Where care grows. https://cdgcare.org/. 2023

  79. World CDG Organization. https://worldcdg.org/. 2023

  80. Clinicaltrials.gov. https://clinicaltrials.gov/. 2023

Download references

Acknowledgements

We would like to express our deepest gratitude for the invaluable financial support received from collective donations made by families affected by CDG and professionals in the field. Furthermore, we wish to acknowledge the substantial commitment of voluntary time given by numerous members from the CDG & Allies-PPAIN. Their dedication and collaboration were instrumental in the completion of this work. Their collective support, both financial and voluntary, underpins the success of this research, and for that, we are profoundly thankful. Also, we want to thank Carlota Pascoal for her valuable insights in addressing reviewers' comments and for the final revision of the manuscript.

Funding

We acknowledge the support of the 9th Liliana Scientific Initiation Scholarship, which supported the work of the author Pedro Granjo. In addition, the authors declare that no other funds and grants were received during the preparation of this manuscript.

Author information

Authors and Affiliations

Authors

Contributions

Conceptualization, PG and VRF; Methodology, JP, AIG, PG and VRF; Software, AIG and PG; Validation, JP, AIG, PG, and VRF.; Formal Analysis, AIG; Investigation, JP, AIG, PG and VRF; Resources, VRF; Data Curation, JP, AIG, PG; Writing—Original Draft Preparation, JP, and AIG; Writing—Review and Editing, PG and VRF; Visualization, JP and AIG; Supervision, VRF; Project Administration, VRF and PG; Funding Acquisition, VRF. All authors have read and agreed to the published version of the manuscript.

Corresponding author

Correspondence to Vanessa dos Reis Ferreira.

Ethics declarations

Ethics approval and consent to participate

All participants provided informed consent electronically.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Poejo, J., Gomes, A.I., Granjo, P. et al. Resilience in patients and family caregivers living with congenital disorders of glycosylation (CDG): a quantitative study using the brief resilience coping scale (BRCS). Orphanet J Rare Dis 19, 98 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s13023-024-03043-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s13023-024-03043-x

Keywords