Factors Related to Social Support in Neurological and Mental Disorders

Polygenic risk of social isolation behavior and its influence on psychopathology and personality

Social isolation has been linked to a range of psychiatric issues, but the behavioral component that drives it is not well understood. Here, a genome-wide associations study (GWAS) was carried out to identify genetic variants that contribute specifically to social isolation behavior (SIB) in up to 449,609 participants from the UK Biobank. 17 loci were identified at genome-wide significance, contributing to a 4% SNP-based heritability estimate. Using the SIB GWAS, polygenic risk scores (PRS) were derived in ALSPAC, an independent, developmental cohort, and used to test for association with self-reported friendship scores, comprising items related to friendship quality and quantity, at age 12 and 18 to determine whether genetic predisposition manifests during childhood development. At age 18, friendship scores were associated with the SIB PRS, demonstrating that the genetic factors can predict related social traits in late adolescence. Linkage disequilibrium (LD) score correlation using the SIB GWAS demonstrated genetic correlations with autism spectrum disorder (ASD), schizophrenia, major depressive disorder (MDD), educational attainment, extraversion, and loneliness. However, no evidence of causality was found using a conservative Mendelian randomization approach between SIB and any of the traits in either direction. Genomic Structural Equation Modeling (SEM) revealed a common factor contributing to SIB, neuroticism, loneliness, MDD, and ASD, weakly correlated with a second common factor that contributes to psychiatric and psychotic traits. Our results show that SIB contributes a small heritable component, which is associated genetically with other social traits such as friendship as well as psychiatric disorders.

Polygenic risk of Social-isolation and its influence on social behavior, psychosis, depression and autism spectrum disorder

Social-isolation has been linked to a range of psychiatric issues, but the behavioral component that drives it is not well understood. Here, a GWAS is carried out to identify genetic variants which contribute to Social-isolation behaviors in up to 449,609 participants from the UK Biobank. 17 loci were identified at genome-wide significance, contributing to a 4% SNP heritability estimate. Using the Social-isolation GWAS, polygenic risk scores (PRS) were derived in ALSPAC, an independent, developmental cohort, and used to test for association with friendship quality. At age 18, friendship scores were associated with the Social-isolation PRS, demonstrating that the genetic factors are able to predict related social traits. LD score regression using the GWAS demonstrated genetic correlation with autism spectrum disorder, schizophrenia, and major depressive disorder. However, no evidence of causality was found using a conservative Mendelian randomization approach other than that of autism spectrum disorder on Social-isolation. Our results show that Social-isolation has a small heritable component which may drive those behaviors which is associated genetically with other social traits such as friendship satisfaction as well as psychiatric disorders.

Stuck Inside: How Social Functioning in Schizophrenia Changed During the COVID-19 Pandemic

ABSTRACT

Social distancing policies enacted during the COVID-19 pandemic altered our social interactions. People with schizophrenia, who already exhibit social deficits, may have been disproportionally impacted. In this pilot study, we a) compared prepandemic social functioning to functioning during the pandemic in people with schizophrenia ( n = 21) who had data at both time points; and b) examined if patterns of decline in schizophrenia differed from healthy controls ( n = 21) across a series of repeated-measures analyses of variance. We observed larger declines in social functioning in schizophrenia (η 2 = 0.07, medium effect size) during the pandemic compared with the control group. Between-group declines did not extend to other domains, suggesting that declines are specific to social functioning. Our findings signal that treatments focusing on reconnecting people with schizophrenia to their social networks should be prioritized. Future studies should continue tracking social functioning after the pandemic to illustrate patterns of recovery.

Long-term disability in common mental disorders in Chinese community: evidence from a five-year follow-up study

BACKGROUND

Common mental disorders are general term for mental disorders with high disability rates and significant social burden. The purpose of this study was to determine the degree of long-term disability associated with common mental disorders and to interpret the relationship between common mental disorders and long-term disability.

METHODS

Participants in the 2013 China Mental Health Survey were followed up by telephone between April and June 2018. This study evaluated long-term disability over a five-year period using the World Health Organization's Disability Assessment Schedule 2.0. Poisson regression was used to analyze the relationship between common mental disorders and long-term disability.

RESULTS

A total of 6269 patients were followed up by telephone. In patients with common mental disorders, the prevalence of disability ranged from 7.62% to 43.94%. The long-term disabilities were significantly associated with dysthymic disorder (DD, RR:2.40; 95% CI:1.87-3.03), major depressive disorder (MDD, RR:1.63; 95% CI:1.34-1.98), generalized anxiety disorder (GAD, RR:1.95; 95% CI:1.15-3.09), obsessive-compulsive disorder (OCD, RR:1.68; 95% CI:1.24-2.22) and alcohol use disorder (AUD, RR: 1.42; 95% CI:0.99-1.96).

CONCLUSIONS

In China, common mental disorders raise the risk of long-term disability, and there is a critical need for monitoring patients with DD, MDD, GAD, OCD, and AUD. For improved quality of life and reduced disability levels, more resources need to be dedicated to mental health in the future.

A Comprehensive Literature Search of Digital Health Technology Use in Neurological Conditions: Review of Digital Tools to Promote Self-management and Support

BACKGROUND

The use of digital health technology to promote and deliver postdiagnostic care in neurological conditions is becoming increasingly common. However, the range of digital tools available across different neurological conditions and how they facilitate self-management are unclear.

OBJECTIVE

This review aims to identify digital tools that promote self-management in neurological conditions and to investigate their underlying functionality and salient clinical outcomes.

METHODS

We conducted a search of 6 databases (ie, CINAHL, EMBASE, MEDLINE, PsycINFO, Web of Science, and the Cochrane Review) using free text and equivalent database-controlled vocabulary terms.

RESULTS

We identified 27 published articles reporting 17 self-management digital tools. Multiple sclerosis (MS) had the highest number of digital tools followed by epilepsy, stroke, and headache and migraine with a similar number, and then pain. The majority were aimed at patients with a minority for carers. There were 5 broad categories of functionality promoting self-management: (1) knowledge and understanding; (2) behavior modification; (3) self-management support; (4) facilitating communication; and (5) recording condition characteristics. Salient clinical outcomes included improvements in self-management, self-efficacy, coping, depression, and fatigue.

CONCLUSIONS

There now exist numerous digital tools to support user self-management, yet relatively few are described in the literature. More research is needed to investigate their use, effectiveness, and sustainability, as well as how this interacts with increasing disability, and their integration within formal neurological care environments.

Factors associated with perceived social support of patients with multiple sclerosis

Background: Multiple sclerosis (MS) is an inflammatory chronic disease of the central nervous system (CNS) which is related with unpredictable course and increasing disability. Social support as an available interpersonal resource may help patients with MS. The purpose of the present study was to evaluate perceived social support in patients with MS as well as the associated factors. Methods: The sample of this cross-sectional study included 200 patients with MS. Data collection was performed by the completion of the Multidimensional Scale of Perceived Social Support (MSPSS) and a questionnaire which included patients' characteristics. Results: Patients reported to perceive high support from significant others and their family (median: 24.0 and 23.5, respectively) and less from their friends (median: 20). Moreover, a statistically significant association was found between social support from significant others and marital status (P = 0.010), modification of daily activities (P = 0.018), difficulties with social and family environment (P ≤ 0.001 and P ≤ 0.001, respectively), frequent urination (P = 0.015), and whether they easily forgot (P = 0.049), characterized themselves as anxious (P = 0.049), and believed in God (P = 0.002). Also, a statistically significant association was fond between social support from family and relation with health professionals (P = 0.041), difficulties with social and family environment (P = 0.003 and P ≤ 0.001, respectively), and whether they considered themselves as anxious (P = 0.050), and they believed in God (P ≤ 0.001). Furthermore, a statistically significant association was found between support from friends and modification of daily activities (P = 0.010), help in daily activities (P = 0.016), need for movement assistance (P = 0.001), difficulties with social and family environment (P ≤ 0.001 and P = 0.005, respectively), and whether they considered themselves anxious (P = 0.046). Conclusion: Factors associated with perceived social support should be evaluated when planning holistic care to patients with MS.

Social, professional and neuropsychiatric outcomes in patients with myasthenia gravis

BACKGROUND

Recent medical advances have enabled the control of neurological symptoms and increased survival of patients with myasthenia gravis (MG). However, MG has many veiled consequences that may be underestimated by neurologists. Our aim was to clarify the social, professional, and neuropsychiatric issues of MG patients.

METHODS

We carried out a cross-sectional cohort study with MG patients from a university-affiliated referral hospital. We registered clinical and sociodemographic data, and patients were classified according the MGFA classification. Clinical severity was assessed with Myasthenia Gravis Composite (MGC) scale. Trained and blind investigators analyzed social and professional outcomes. Neuropsychiatric symptoms were evaluated with the Hospital Anxiety and Depression Scale (HADS) and the social support with the Multidimensional Scale of Perceived Social Support (MSPSS).

RESULTS

We enrolled 49 patients with MG. The mean age was 45.3 ± 18.1 years and 39 (79.6%) were women. There were 19 (38.8%) patients who become unemployed, 23 (46.9%) who had to retire prematurely, 31 (63.3%) that reported a significant reduction in work performance, and 23 (46.9%) who had a reduction in monthly income after the diagnosis of MG. Only 16 (32.6%) received any financial support and 24 (48.9%) patients had the perception of receiving a satisfactory social support. The practice of physical activity is a habit in only 10 patients (20.4%). Neuropsychiatric symptoms were present in 26 (53.1%) patients.

CONCLUSION

Patients with MG are vulnerable to social, professional, and mental disadvantages. Therapeutic success in MG goes beyond symptom relief and inevitably depends on a personalized approach to the patient.

The Role of Information Processing Speed in Clinical and Social Support Variables of Patients with Multiple Sclerosis

BACKGROUND AND PURPOSE

Information processing speed is one of the most impaired cognitive functions in multiple sclerosis (MS). There are two tests widely used for evaluating information processing speed: the Symbol Digit Modalities Test (SDMT) and the Paced Auditory Serial Addition Test (PASAT). To analyze the relationship between processing speed and the clinical and social support variables of patients with MS.

METHODS

A group of 47 patients with relapsing-remitting MS was studied, 31 were women and 16, men. Age: 39.04±13.17, years of schooling: 13.00±3.87, Expanded Disability Status Scale (EDSS): 2.78±1.81, and disease evolution: 8.07±6.26. Instruments of measure; processing speed: SDMT, PASAT, clinical variables: EDSS, Fatigue Severity Scale (FSS), Beck's Depression Inventory II (BDI-II), and social support: Medical Outcomes Study Social Support Survey (MOS).

RESULTS

Significant correlations were found between information processing speed and psychiatric, motor disability and social support variables. The SDMT correlated significantly and negatively with BDI-II, FSS, EDSS, and MOS (p<0.05), whereas the PASAT correlated negatively with FSS and positively with MOS (p<0.05). Information processing speed appeared as the performance predictor of these variables. The SDMT produced significant changes in EDSS (R²=0.343, p=0.000); FSS (R²=0.109, p=0.031); BDI-II (R²=0.124, p=0.018), and MOS (R²=between 0.212 and 0.379, p<0.05).

CONCLUSIONS

Information processing speed has influence on the clinical variables and the social support of patients with MS. These aspects are important to bear in mind for therapeutic approach.

Social functioning in patients with depressive and anxiety disorders

OBJECTIVE

Adaptive social functioning is severely impeded in depressive and anxiety disorders, even after remission. However, a comprehensive overview is still lacking.

METHOD

Using data from the Netherlands Study of Depression and Anxiety (NESDA), behavioural (network size, social activities, social support) and affective (loneliness, affiliation, perceived social disability) indicators of social functioning were analyzed in patients with anxiety (N = 540), depressive (N = 393), comorbid anxiety and depressive disorders ('comorbid', N = 748), remitted participants (N = 621), and healthy control subjects (N = 650).

RESULTS

Analyses revealed an increasing trend of social dysfunction among patient groups, in patients with comorbid anxiety and depressive disorders, showing the most severe impairments, followed by depressed and anxious patients (P's < 0.001 for all social functioning indicators). Affective indicators showed the largest effect sizes (Cohen's d range from 0.13 to 1.76). We also found impairments in social functioning among remitted patients. Furthermore, perceived social disability among patients was predictive of still having a depressive and/or anxiety diagnosis 2 years later (P < 0.01).

CONCLUSIONS

Behavioural but especially affective indicators of social functioning are impaired in patients with anxiety or depressive disorders and most in patients with comorbid disorders. After remission of affective psychopathology, residual impairments tend to remain, while social dysfunction in patients seems predictive of future psychopathology.

PARADISE 24 instrument: An observational study on psychosocial difficulties, quality of life, and disability levels in patients with epilepsy

AIM

The aim of this observational study was to test the effectiveness of the PARADISE 24 instrument in describing the psychosocial difficulties (PSDs) reported by people with epilepsy, their relation with disability, and quality-of-life (QoL) levels and, overall, to explore a horizontal epidemiology methodology applied to a sample of patients with epilepsy.

METHODS

A convenience sample of 80 adult patients with epilepsy was included in this cross-sectional study. Patients were interviewed using a structured protocol composed of demographic, clinical, and patient-reported outcome measures to collect PSDs associated with epilepsy.

RESULTS

There were 80 patients, 40 females; mean age was 41.2years; mean disease duration was 18.7years; and mean number of AED was 2.09. Moderate severity rating according to clinicians' rating scale, low impact of comorbidities (mean: 2.36, SD: 2.97), high levels of QoL (mean: 30.00, SD: 4.4), medium levels of resilience (mean: 13.56, SD: 2.66), high levels of perceived empathy (mean: 15.05, SD: 4.74), poor or moderate perceived social support, and low levels of disability (mean: 10.85, SD: 10.05) were observed. The most frequently reported PSDs were related to tiredness (80%), emotional problems (73.75%), anxiety (68.75%), depressive mood (66.25%), and driving problems (61.25%). The EUROHIS-QOL (p=.003) had a negative significant relationship with PARADISE 24 while WHODAS-12 (p=.000) and CRS (p=.027) had a positive significant relationship with PARADISE 24.

CONCLUSIONS

The PARADISE 24 permits data comparison and the creation of a complete description of a person's functioning and of all of his/her PSDs and allows better and more tailored interventions.