Identification of Youthful Neurocognitive Trajectories in Adults Aging with HIV: A Latent Growth Mixture Model

Despite the neurocognitive risks of aging with HIV, initial cross-sectional data suggest a subpopulation of older people with HIV (PWH) possess youthful neurocognition (NC) characteristic of SuperAgers (SA). Here we characterize longitudinal NC trajectories of older PWH and their convergent validity with baseline SA status, per established SuperAging criteria in PWH, and baseline biopsychosocial factors. Growth mixture modeling (GMM) identified longitudinal NC classes in 184 older (age ≥ 50-years) PWH with 1–5 years of follow-up. Classes were defined using ‘peak-age’ global T-scores, which compare performance to a normative sample of 25-year-olds. 3-classes were identified: Class 1Stable Elite (n = 31 [16.8%], high baseline peak-age T-scores with flat trajectory); Class 2Quadratic Average (n = 100 [54.3%], intermediate baseline peak-age T-scores with u-shaped trajectory); Class 3Quadratic Low (n = 53 [28.8%], low baseline peak-age T-scores with u-shaped trajectory). Baseline predictors of Class 1Stable Elite included SA status, younger age, higher cognitive and physiologic reserve, and fewer subjective cognitive difficulties. This GMM analysis supports the construct validity of SuperAging in older PWH through identification of a subgroup with longitudinally-stable, youthful neurocognition and robust biopsychosocial health.

The perception of biopsychosocial impacts of COVID-19 during lockdown restrictions over time in the UK – a mixed methods study

Background: The COVID-19 pandemic has profoundly impacted the health of individuals physically, mentally, and socially. This study aims to gain a deeper understanding of this impact across the pandemic from a biopsychosocial stance. Methods: A survey created by the research team was employed between November 2020 and February 2021 across social media, relevant organizations, and networks. The survey incorporated 5-time points across the different stages of the pandemic, covering biological, psychological, and social. There were 5 items for each survey (Very Positive affect to Very Negative affect), and analysis was undertaken using SPSS version 16. Descriptive statistics and non-parametric Friedman and Wilcoxon Tests, as well as correlations between the three domains, were implemented. Results: This study included 164 participants (77.0% female and 35.0% male) across 24 out of 38 counties in the UK. The impact of COVID-19 on biological domain was significant across the five data points χ2(4) = 63.99, p < 0.001, psychological χ2(4) = 118.939, p <0.001 and socially χ2(4) = 186.43, p <0.001. Between the 5 data points, 4 out of 5 had a negative impact, however between the first stage of lockdown and the easing of restrictions, findings for biological (Z=-2.35, p <0.05), psychological (Z=-6.61, p < 0.001), and socially (Z = -8.61, p <0.001) were positive. Negative correlations between the three domains across the pandemic are apparent, but in later stages, the biological domain had a positive correlation r = 0.52, p < 0.001. Conclusion: The data shows a negative impact from the self-reported perception of wellbeing from a biopsychosocial stance over time, as well as perceiving the three domains to interact negatively. To address these biopsychosocial issues, the research implies a place-based integrated recovery effort is needed, addressing biological, psychological, and social issues simultaneously. Further research should investigate biopsychosocial health among a more generalizable population.

Unemployment Syndrome during COVID-19: A Comparison of Three Population Groups

Introduction: Of the serious problems that characterise the current crisis in Spain, the most alarming and revealing is unemployment, which, despite being so common, continues to be quite a negative experience for most people, often with serious negative effects on their biopsychosocial health. The perpetuation of this situation has given rise to a new syndrome of the unemployed. If these effects of economic downsizing are accompanied by the magnitude of the current situation brought about by COVID-19, the results can be devastating for the individuals and families experiencing it. Objective: To compare the symptoms of the unemployed syndrome in three population groups. Method: Three groups were studied: short-term unemployed (n = 91), long-term unemployed (n = 150), and those unemployed during the COVID-19 pandemic (n = 94). Unemployment syndrome was assessed with the Unemployment Syndrome Scale (USS). The three population groups were contacted through web pages, social networks, etc. and answered the instruments online in a single session. Once the responses were obtained, their information was encoded in a database and analysed through the SPSS v. 21 program. Population groups were compared using the ANOVA analysis and the Bonferroni post hoc test. Results: The unemployed individuals who lost their job during the pandemic reported higher scores in the symptoms of the Unemployed Syndrome Scale compared to the long- and short-term unemployed individuals. ANOVA analyses for symptoms of USS were all significant in the different groups considering a significance level of <0.005. Participants who were unemployed for less than one year had lower scores in the USS than the long-term unemployed participants and those unemployed during the COVID-19 pandemic that reported a significantly higher number of symptoms in the USS.

Impact of the COVID-19 pandemic on biopsychosocial health and quality of life among Danish children and adults with neuromuscular diseases (NMD)—Patient reported outcomes from a national survey

The purpose was to investigate the impact of the COVID-19 pandemic on biopsychosocial health, daily activities, and quality of life among children and adults with neuromuscular diseases, and to assess the prevalence of COVID-19 infection and the impact of this in patients with neuromuscular diseases. The study was a national questionnaire survey. Responses were obtained from 811 adults (29%) and 67 parents of children (27%) with neuromuscular diseases. Many patients reported decreased health or physical functioning, and changes in access to physiotherapy or healthcare due to the pandemic. Participants generally perceived themselves or their child to be at high risk of severe illness from COVID-19, but only 15 patients had suffered from COVID-19 and experienced mild flu-like symptoms. 25.3% of adults and 46.6% of parents experienced anxiety. 20.4% of adults and 27.6% of parents experienced symptoms of depression. In general, the pandemic contributed to anxiety, a depressed mood as well as to fewer leisure activities, less social contact, isolation from work/school and a reduced quality of life, in particular for patients who perceived themselves to be at high risk of severe illness. The results demonstrate that the pandemic has had a negative impact on biopsychosocial health and quality of life of patients with neuromuscular diseases.

Association of Neighborhood Socioeconomic Status With Outcomes in Patients Surviving Stroke

Objective:To examine associations between neighborhood socioeconomic status (nSES) and 90-day post-stroke outcomes.Methods:The Brain Attack Surveillance in Corpus Christi Project is a population-based surveillance study in Nueces County, Texas. Stroke patients were identified between 2010 and 2016 via active and passive surveillance and enrolled in the study. nSES index is a standardized composite of 2010 census-tract level income, wealth, education, and employment (median -4.56; IQR: -7.48 to -0.46). 90-day outcomes were ascertained via interview: functional status measured by the average of 22 activities of daily living/instrumental activities of daily living (range 1-4), biopsychosocial health by the Stroke-Specific Quality of Life scale (range 0-5), and depressive symptoms by the 8-item Patient Health Questionnaire (range 0-24). Associations between nSES and outcomes were estimated using confounder-adjusted generalized estimating equations with an nSES*National Institute of Health Stroke Scale interaction term.Results:776 survivors composed the analytic sample (52.96% male, 62.24% Mexican-American, 52.96% ≥ 64 years-old). Higher compared to lower nSES (mean difference comparing 75th to 25th percentile of nSES ) was associated with better function (-0.27, 95% CI: -0.49, -0.05), better biopsychosocial health (0.26, 95% CI: 0.06, 0.47), and less depressive symptoms (-1.77, 95% CI: -3.306, -0.48) among those with moderate-to-severe strokes. Among those with minor strokes, higher nSES was associated with better function (-0.13; 95% CI: -0.24, -0.02).Conclusions: nSES may influence post-stroke recovery. Studies should identify neighborhood characteristics that contribute to post-stroke outcomes, particularly in moderate-to-severe stroke survivors.

Mindfulness-based interventions: an overall review

Introduction This is an overall review on mindfulness-based interventions (MBIs). Sources of data We identified studies in PubMed, EMBASE, CINAHL, PsycINFO, AMED, Web of Science and Google Scholar using keywords including ‘mindfulness’, ‘meditation’, and ‘review’, ‘meta-analysis’ or their variations. Areas of agreement MBIs are effective for improving many biopsychosocial conditions, including depression, anxiety, stress, insomnia, addiction, psychosis, pain, hypertension, weight control, cancer-related symptoms and prosocial behaviours. It is found to be beneficial in the healthcare settings, in schools and workplace but further research is warranted to look into its efficacy on different problems. MBIs are relatively safe, but ethical aspects should be considered. Mechanisms are suggested in both empirical and neurophysiological findings. Cost-effectiveness is found in treating some health conditions. Areas of controversy Inconclusive or only preliminary evidence on the effects of MBIs on PTSD, ADHD, ASD, eating disorders, loneliness and physical symptoms of cardiovascular diseases, diabetes, and respiratory conditions. Furthermore, some beneficial effects are not confirmed in subgroup populations. Cost-effectiveness is yet to confirm for many health conditions and populations. Growing points Many mindfulness systematic reviews and meta-analyses indicate low quality of included studies, hence high-quality studies with adequate sample size and longer follow-up period are needed. Areas timely for developing research More research is needed on online mindfulness trainings and interventions to improve biopsychosocial health during the COVID-19 pandemic; Deeper understanding of the mechanisms of MBIs integrating both empirical and neurophysiological findings; Long-term compliance and effects of MBIs; and development of mindfulness plus (mindfulness+) or personalized mindfulness programs to elevate the effectiveness for different purposes.

Yoga and Polyvagal Theory

This chapter explores yoga as a salutogenic intervention supportive of eudaimonic well-being with its wide-spread health effects for various patient populations. Autonomic nervous system regulation and resilience are considered as important meditators for the promotion of biopsychosocial health. Polyvagal theory offers a novel perspective on how underlying neural platforms support combined physiological, psychological, and behavioral states—inclusive of eudaimonic well-being. This chapter describes the convergence of neurophysiological ideas of neuroception, interoception, and neural platforms with yoga foundational concepts such as discriminative wisdom and the gunas. This translatory language of eudaimonic well-being and polyvagal theory offers a framework for yoga to be understood and integrated into current healthcare and research contexts while maintaining its unique perspective and foundational wisdom.