Adult child socio-economic status and older parents' psychosocial outcomes during the COVID-19 pandemic.

Purpose Older adults' psychosocial outcomes during the COVID-19 pandemic have been inequitable by socio-economic status (SES). However, studies have focused solely on own SES, ignoring emerging evidence of the relationship between adult child SES and late-life health. We evaluated whether adult child educational attainment - a core marker of SES - is associated with older parents' psychosocial outcomes during the pandemic. Methods We used data from the Survey of Health, Aging, and Retirement in Europe (SHARE; 2004-2018) and the SHARE Corona Surveys (2020 and 2021). We included 15,553 respondents > 65 years who had pre-pandemic information on adult child educational attainment, self-reported mental health, and worsened mental health compared to the pre-pandemic period. We used generalized estimating equations adjusted for respondent and family-level characteristics, including respondents' own SES. Results Older adults whose adult children averaged levels of educational attainment at or above (vs. below) their country-specific mean had a lower prevalence of nervousness (Prevalence Ratio [PR]: 0.95, 95% Confidence Interval [CI]: 0.91, 0.99), depression (PR: 0.96, 95% CI: 0.92, 1.00), and trouble sleeping (PR: 0.96, 95% CI: 0.92, 1.00) during the pandemic; associations with loneliness were null. Overall associations with worsened mental health as compared to the pre-pandemic period were null. Protective associations were stronger in countries experiencing "high" levels of COVID-19 intensity. Conclusions Adult child SES may be an important driver of inequities in older adults' mental health during the COVID-19 pandemic. Policies aimed at improving adult child SES may buffer the adverse psychosocial impacts of societal stressors.

The telehealth program of occupational therapy among older people: an up-to-date scoping review.

BACKGROUND: The average life expectancy of older people is increasing, and most seniors desire to age at home and are capable of living independently. Occupational therapy (OT) is client-centered and uses patients' meaningful activities, or occupations, as treatment methods, thus playing an important role in later adulthood. Telemedicine removes the constraints of time and space, and the combination of OT and telemedicine can greatly improve medical efficiency and clinical effectiveness. AIMS: The purpose of this scoping review was to examine the scope and effectiveness of telehealth OT for older people. METHODS: This scoping review was conducted following the methodological framework proposed by Arksey and O'Malley. We searched the literature in five databases following the PICOS (Population, Intervention, Comparison, Outcome, Study design) guideline, from inception to April 2022. Two trained reviewers independently retrieved, screened, and extracted data, and used a descriptive synthesizing approach to summarize the results. RESULTS: The initial search yielded 1249 studies from databases and manual searches, of which 20 were eligible and were included in the final review. A thematic analysis revealed five main themes related to telehealth OT: occupational assessment, occupational intervention, rehabilitation counseling, caregiver support, and activity monitoring. CONCLUSIONS: Telehealth OT has been used widely for older people, focusing primarily on occupational assessment and intervention provided conveniently for occupational therapists and older clients. In addition, telehealth OT can monitor patients' activities and provide rehabilitation counseling and health education for the elderly and their caregivers, thus improving the security of their home life and the efficacy of OT. During the COVID-19 pandemic, telehealth will be an effective alternative to face-to-face modalities.

Interleukin-18-primed human umbilical cord-mesenchymal stem cells achieve superior therapeutic efficacy for severe viral pneumonia via enhancing T-cell immunosuppression.

Coronavirus disease 2019 (COVID-19) treatments are still urgently needed for critically and severely ill patients. Human umbilical cord-mesenchymal stem cells (hUC-MSCs) infusion has therapeutic benefits in COVID-19 patients; however, uncertain therapeutic efficacy has been reported in severe patients. In this study, we selected an appropriate cytokine, IL-18, based on the special cytokine expression profile in severe pneumonia of mice induced by H1N1virus to prime hUC-MSCs in vitro and improve the therapeutic effect of hUC-MSCs in vivo. In vitro, we demonstrated that IL-18-primed hUC-MSCs (IL18-hUCMSC) have higher proliferative ability than non-primed hUC-MSCs (hUCMSCcon). In addition, VCAM-1, MMP-1, TGF-ß1, and some chemokines (CCL2 and CXCL12 cytokines) are more highly expressed in IL18-hUCMSCs. We found that IL18-hUCMSC significantly enhanced the immunosuppressive effect on CD3+ T-cells. In vivo, we demonstrated that IL18-hUCMSC infusion could reduce the body weight loss caused by a viral infection and significantly improve the survival rate. Of note, IL18-hUCMSC can also significantly attenuate certain clinical symptoms, including reduced activity, ruffled fur, hunched backs, and lung injuries. Pathologically, IL18-hUCMSC transplantation significantly enhanced the inhibition of inflammation, viral load, fibrosis, and cell apoptosis in acute lung injuries. Notably, IL18-hUCMSC treatment has a superior inhibitory effect on T-cell exudation and proinflammatory cytokine secretion in bronchoalveolar lavage fluid (BALF). Altogether, IL-18 is a promising cytokine that can prime hUC-MSCs to improve the efficacy of precision therapy against viral-induced pneumonia, such as COVID-19.

Drivers and forecasts of multiple waves of the coronavirus disease 2019 pandemic: A systematic analysis based on an interpretable machine learning framework.

Coronavirus disease 2019 (COVID-19) has become a global pandemic and continues to prevail with multiple rebound waves in many countries. The driving factors for the spread of COVID-19 and their quantitative contributions, especially to rebound waves, are not well studied. Multidimensional time-series data, including policy, travel, medical, socioeconomic, environmental, mutant and vaccine-related data, were collected from 39 countries up to 30 June 2021, and an interpretable machine learning framework (XGBoost model with Shapley Additive explanation interpretation) was used to systematically analyze the effect of multiple factors on the spread of COVID-19, using the daily effective reproduction number as an indicator. Based on a model of the pre-vaccine era, policy-related factors were shown to be the main drivers of the spread of COVID-19, with a contribution of 60.81%. In the post-vaccine era, the contribution of policy-related factors decreased to 28.34%, accompanied by an increase in the contribution of travel-related factors, such as domestic flights, and contributions emerged for mutant-related (16.49%) and vaccine-related (7.06%) factors. For single-peak countries, the dominant ones were policy-related factors during both the rising and fading stages, with overall contributions of 33.7% and 37.7%, respectively. For double-peak countries, factors from the rebound stage contributed 45.8% and policy-related factors showed the greatest contribution in both the rebound (32.6%) and fading (25.0%) stages. For multiple-peak countries, the Delta variant, domestic flights (current month) and the daily vaccination population are the three greatest contributors (8.12%, 7.59% and 7.26%, respectively). Forecasting models to predict the rebound risk were built based on these findings, with accuracies of 0.78 and 0.81 for the pre- and post-vaccine eras, respectively. These findings quantitatively demonstrate the systematic drivers of the spread of COVID-19, and the framework proposed in this study will facilitate the targeted prevention and control of the ongoing COVID-19 pandemic.

The Relationship Between Pain and Psychological Distress During the COVID-19 Pandemic: Is Social Technology Use Protective?

OBJECTIVES: The COVID-19 pandemic and resulting shelter-in-place orders have profoundly changed the everyday social environment. This study examines the relationship between pain and psychological distress (depression, anxiety, and loneliness) among U.S. adults ages 54 and older during the pandemic. We also test whether use of technology for social purposes moderates the association between pain severity and psychological distress. METHODS: Using cross-sectional data on 1,014 adults ages 54 and older (pain free, n = 637; mild pain, n = 106; moderate pain, n = 227; and severe pain, n = 64) from the 2020 Health and Retirement Study COVID-19 Project (Early, Version 1.0), we conducted regression analyses to test the association between pain severity and psychological outcomes and to assess social technology use frequency as a moderator. RESULTS: Compared with their pain-free peers, participants with mild-to-moderate pain reported more depressive symptoms and greater loneliness; those with severe pain reported higher levels of depression, anxiety, and loneliness. Social technology use was associated with lower levels of depression and loneliness. However, interaction analyses show that social technology use predicted an increase in depression for individuals with pain but a decrease in depression among pain-free individuals. For anxiety and loneliness, no significant effects of social technology use were observed. CONCLUSION: Older adults with pain are at high risk of depression, anxiety, and loneliness during the pandemic. Although social technologies have become a common alternative to face-to-face interactions during the COVID-19 crisis, and overall they can provide mental health benefits, our results suggest that social technologies can be detrimental to psychological well-being among people with pain. These findings can inform technology-based interventions aiming to promote well-being among older adults with pain.