A Hybrid Concept Analysis of Frailty Among Older Adults Living in the Community.

AIM: To analyse the concept of frailty through a literature review and in-depth interviews. DESIGN: A hybrid model of concept analysis. METHODS: The theoretical phase identified 43 articles for reviewing the definition and measurement of frailty. Seven frail older adults were invited in the fieldwork phase for in-depth interviews. In the final analysis phase, results from the fieldwork and theoretical phases were integrated to obtain a final definition of frailty. RESULTS: Attributes of frailty were heterogeneous, involving dynamic/bidirectional, multidimensional and multiple systems. The antecedents of the concept were exposure to various stimuli and challenges in responding to these stimuli. Consequences included losing autonomy and adverse health outcomes. Four themes of frailty were identified based on the fieldwork data: 'accumulation of functional decline', 'powerlessness of coping with', 'vicissitudes of lived experience' and 'loss of autonomy and positivity'. CONCLUSIONS: The final definition of frailty was 'a dynamic and fluctuating process of powerlessness to manage biopsychosocial and environmental stimuli, involving functional decline and vicissitudes of life, which results in losing autonomy and positivity or adverse health outcomes'. IMPLICATIONS FOR THE PROFESSION AND/OR PATIENT CARE: Characterising the definition of frailty is essential for nurses to address the lived experiences of older adults when providing person-centred care and for developing interventions that meet the needs of frail older adults. IMPACT: Since some discrepancies existed in the definition of frailty from individual perception of older adults, combined in-depth interviews with a theoretical literature review were used to provide comprehensive insight. This concept analysis provides guidelines of training for nurses and opportunities to improving quality of life for community dwelling older adults. REPORTING METHOD: N/A. PATIENT OR PUBLIC CONTRIBUTION: No Patient or Public Contribution.

Influence of photosynthetic active radiation on sap flow dynamics across forest succession stages in Dinghushan subtropical forest ecosystem.

With the intensification of global change, forests are subjected to varying degrees of drought or high-temperature stress, which has an indelible impact on the growth of trees. However, knowledge on the response of sap flow to environmental changes in different types of forests is still rare, especially in China's subtropical forest ecosystem. Consequently, studying how different tree species regulate their sap flow in response to shifting environmental conditions is essential for understanding forest transpiration, water use efficiency, and drought stress resilience. Therefore, this study aimed to investigate the sap flow dynamics of seven tree species in five forest plots, i.e., pine forest (PF), two types of mixed conifer-broadleaf forests (MF1+MF2), monsoon evergreen broadleaved forest (MEBF), and montane monsoonal evergreen broad-leaf forest (MOBF) at Dinghushan National Reserve in Southern China, using the heat dissipation probe technique and synchronous environmental factor recordings. Results demonstrated a significant influence of photosynthetic active radiation (PAR) on sap flow across all tree species, with mean PAR values ranging from over 1200 to 425 µmol m-2 s-1, establishing it as the principal driving factor. This observation underscores the heightened responsiveness or sensitivity of tree species to variations in PAR as the forest undergoes development and maturation. The correlation between vapor pressure deficit (VPD) and tree sap flow decreased as succession progressed. Moreover, the influence of soil water content (SWC) on sap flow stability against environmental changes increased. Similar patterns were also found between the two MF, with MF-2 displaying ecological characteristics and environmental conditions more closely aligned with those of the late-successional MEBF. The study reveals the intricate relationship between environmental factors and sap flow regulation in tree species within a subtropical forest ecosystem. Addressing a comparative gap in sap flow correlation among dominant tree species at Dinghushan, it establishes a hydro-physiological foundation for understanding tree species substitution during forest succession. The results provide key insights for forest management and climate-related research. Future studies should delve into the long-term implications of observed sap flow dynamics, exploring their impact on tree species adaptability amid ongoing environmental changes.

Craniofacial features and incisor position design of esthetics population after orthodontic treatment.

OBJECTIVES: This study aims to provide craniofacial features and incisor position prediction models among esthetics population after orthodontic treatment. METHODS: A total of 338 patients with esthetic profiles were selected from 1 055 post-orthodontic adults based on inclusion and exclusion criteria and scored by five dental students. Mean values of cephalometric measurement were demonstrated with gender and sagittal skeletal pattern (ANB) differences assessed by generalized estimating equation. Correlations among age, skeletal, and soft tissue variables in different genders were determined. Multivariate analysis was used to assess the influence of skeletal and soft tissue variables on orthodontic incisor position. RESULTS: Within the esthetic cohort after orthodontic treatment, gender differences existed in cranial and mandibular length, mandibular rotation, protrusion of pogonion, inclination of maxillary incisors, upper lip thickness, lower 1/3 face height, and nose protrusion. However, in class Ⅰ malocclusion, the development of the chin showed no significance, whereas the protrusion of the lower lip significantly differed between genders, with less protrusion in males. In males, the protrusion of lip and chin varied among groups, with thinner basic upper lip thickness of class Ⅱ than class Ⅰ and greater lower lip height of class Ⅲ than class Ⅰ. In females, the protrusion and height of the upper lip and chin varied in groups, with thicker basic upper lip thickness of class Ⅲ than class Ⅰ. Upper lip thickness, female basic upper lip thickness, and female lower lip height were correlated with age. The protrusion of the upper lip was mainly correlated with posterior cranial base, mandibular body length, ANB in male and SNA, ANB, sagittal maxillary length, mandibular rotation, and protrusion of pogonion in female. The protrusion of the lower lip in males was mainly correlated with ramus height, mandibular rotation, protrusion of pogonion in male and ANB, mandibular rotation, and protrusion of pogonion in females. After employing skeletal variables to fit dental parameters, optimal results were achieved in male IMPA (adjusted R2=0.712) and female G Vert-U1 (adjusted R2=0.795). After employing skeletal and soft tissue variables simultaneously, optimal results were achieved in male and female G Vert-U1, which was mainly influenced by the protrusion of the chin and nasal base in males (adjusted R2=0.836) and the protrusion of the nasal base as well as ANB in females (adjusted R2=0.842). CONCLUSIONS: This study demonstrated the craniofacial features of esthetics population after orthodontic treatment and revealed the correlation of gender, age, skeleton, and soft tissues to provide reliable prediction models for aesthetic orthodontic incisor position.

Transcriptomics and weighted protein network analyses of the LRRK2 protein interactome reveal distinct molecular signatures for sporadic and LRRK2 Parkinson's Disease.

Mutations in the LRRK2 gene are the most common genetic cause of familial Parkinson's Disease (LRRK2-PD) and an important risk factor for sporadic PD (sPD). Multiple clinical trials are ongoing to evaluate the benefits associated with the therapeutical reduction of LRRK2 kinase activity. In this study, we described the changes of transcriptomic profiles (whole blood mRNA levels) of LRRK2 protein interactors in sPD and LRRK2-PD cases as compared to healthy controls with the aim of comparing the two PD conditions. We went on to model the protein-protein interaction (PPI) network centred on LRRK2, which was weighted to reflect the transcriptomic changes on expression and co-expression levels of LRRK2 protein interactors. Our results showed that LRRK2 interactors present both similar and distinct alterations in expression levels and co-expression behaviours in the sPD and LRRK2-PD cases; suggesting that, albeit being classified as the same disease based on clinical features, LRRK2-PD and sPD display significant differences from a molecular perspective. Interestingly, the similar changes across the two PD conditions result in decreased connectivity within a topological cluster of the LRRK2 PPI network associated with protein metabolism/biosynthesis and ribosomal metabolism suggesting protein homoeostasis and ribosomal dynamics might be affected in both sporadic and familial PD in comparison with controls.

Reliability, validity and minimal detectable change of the Chinese Version of the Assessment of Physical Activity in Frail Older People (APAFOP-C).

BACKGROUND: Physical activity (PA) is essential in mitigating frailty syndrome, and it is necessary to measure PA in older adults with frailty. Assessment of Physical Activity in Frail Older People (APAFOP) is a suitable patient-reported outcome measure (PROM) for assessing PA among older adults with frailty. This study aimed to determine the reliability, validity and minimal detectable change of the Chinese version of the APAFOP (APAFOP-C). METHODS: This cross-sectional validation study was designed to measure the reliability and criterion validity of the APAFOP-C with 124 frail community-residing older adults. APAFOP-C was completed twice within an interval of 7-17 days to determine test-retest reliability. The investigator triangulation method was used to investigate inter-rater reliability, and a pedometer was used as the reference measurement to assess the criterion validity. Reliability and criterion validity were assessed using the intraclass correlation coefficient (ICC2,1), Pearson correlation coefficient for normally distributed variables, Spearman correlation coefficient, Wilcoxon signed-rank test for skewed variables, and the minimal detectable change at 95% level of confidence (MDC95). Agreement assessment was conducted using Bland-Altman plots for inter-rater reliability and criterion validity. Kendall's W test assessed absolute agreement among three raters in inter-rater reliability. The Mann-Whitney U test was used to evaluate whether any particular day was more representative of certain daily activities. RESULTS: Total PA on any arbitrarily chosen day illustrates daily activity (Z= -0.84, p = 0.40). The APAFOP-C exhibited strong-to-very strong test-retest reliability (ICC2,1=0.73-0.97; Spearman ρ = 0.67-0.89), and the total PA score demonstrated MDC95 < 10%. Inter-rater reliability was also strong-to-very strong (ICC2,1=0.96-0.98; Spearman ρ = 0.88-1.00), and moderate criterion validity when compared with total PA score on pedometer readings (Spearman ρ = 0.61). Limits of agreement among different raters regarding the APAFOP-C and the pedometer were narrow. CONCLUSION: The APAFOP-C was found to have limited but acceptable psychometric properties for measuring PA among community-dwelling older adults with frailty in China. It was a feasible comparative PROM for assessing PA worldwide. Practitioners can develop individualized exercise programs for frail older adults and efficiently track changes in PA utilizing the APAFOP-C.

A Combination of Machine Learning and PBPK Modeling Approach for Pharmacokinetics Prediction of Small Molecules in Humans.

PURPOSE: Recently, there has been rapid development in model-informed drug development, which has the potential to reduce animal experiments and accelerate drug discovery. Physiologically based pharmacokinetic (PBPK) and machine learning (ML) models are commonly used in early drug discovery to predict drug properties. However, basic PBPK models require a large number of molecule-specific inputs from in vitro experiments, which hinders the efficiency and accuracy of these models. To address this issue, this paper introduces a new computational platform that combines ML and PBPK models. The platform predicts molecule PK profiles with high accuracy and without the need for experimental data. METHODS: This study developed a whole-body PBPK model and ML models of plasma protein fraction unbound ( f up ), Caco-2 cell permeability, and total plasma clearance to predict the PK of small molecules after intravenous administration. Pharmacokinetic profiles were simulated using a "bottom-up" PBPK modeling approach with ML inputs. Additionally, 40 compounds were used to evaluate the platform's accuracy. RESULTS: Results showed that the ML-PBPK model predicted the area under the concentration-time curve (AUC) with 65.0 % accuracy within a 2-fold range, which was higher than using in vitro inputs with 47.5 % accuracy. CONCLUSION: The ML-PBPK model platform provides high accuracy in prediction and reduces the number of experiments and time required compared to traditional PBPK approaches. The platform successfully predicts human PK parameters without in vitro and in vivo experiments and can potentially guide early drug discovery and development.

Lansoprazole (LPZ) reverses multidrug resistance (MDR) in cancer through impeding ATP-binding cassette (ABC) transporter-mediated chemotherapeutic drug efflux and lysosomal sequestration.

AIMS: Lansoprazole is one of the many proton pump inhibitors (PPIs) that acts more strongly with ABCB1 and ABCG2. The present study is to investigate the potential of lansoprazole on reversal of ABCB1/G2-mediated MDR in cancer, in vitro and in vivo. METHODS: Reversal studies and combination evaluation were conducted to determine the synergistic anti-MDR effects on lansoprazole. Lysosomal staining was used to determination of lansoprazole on ABCB1-mediated lysosomal sequestration. Substrate accumulation and efflux assays, ATPase activity, and molecular docking were conducted to evaluate lansoprazole on ABCB1/G2 functions. Western blot and immunofluorescence were used to detect lansoprazole on ABCB1/G2 expression and subcellular localization. MDR nude mice models were established to evaluate the effects of lansoprazole on MDR in vivo. RESULTS: Lansoprazole attenuated ABCB1/G2-mediated MDR and exhibited synergistic effects with substrate drugs in MDR cells. In vivo experiments demonstrated that lansoprazole attenuated ABCB1/G2-mediated MDR and exhibited synergistic effects that augmented the sensitivity of substrate anticancer drugs in ABCB1/G2-mediated settings without obvious toxicity. Lansoprazole impeded lysosomal sequestration mediated by ABCB1, leading to a substantial increase in intracellular accumulation of substrate drugs. The effects of lansoprazole were not attributable to downregulation or alterations in subcellular localization of ABCB1/G2. Lansoprazole promoted the ATPase activity of ABCB1/G2 and competitively bound to the substrate-binding region of ABCB1/G2. CONCLUSIONS: These findings present novel therapeutic avenues whereby the combination of lansoprazole and chemotherapeutic agents mitigates MDR mediated by ABCB1/G2 overexpression.

Managing antimony pollution: Insights into Soil-Plant system dynamics and remediation Strategies.

Researchers are increasingly concerned about antimony (Sb) in ecosystems and the environment. Sb primarily enters the environment through anthropogenic (urbanization, industries, coal mining, cars, and biosolid wastes) and geological (natural and chemical weathering of parent material, leaching, and wet deposition) processes. Sb is a hazardous metal that can potentially harm human health. However, no comprehensive information is available on its sources, how it behaves in soil, and its bioaccumulation. Thus, this study reviews more than 160 peer-reviewed studies examining Sb's origins, geochemical distribution and speciation in soil, biogeochemical mechanisms regulating Sb mobilization, bioavailability, and plant phytotoxicity. In addition, Sb exposure effects plant physio-morphological and biochemical attributes were investigated. The toxicity of Sb has a pronounced impact on various aspects of plant life, including a reduction in seed germination and impeding plant growth and development, resulting from restricted essential nutrient uptake, oxidative damages, disruption of photosynthetic system, and amino acid and protein synthesis. Various widely employed methods for Sb remediation, such as organic manure and compost, coal fly ash, biochar, phytoremediation, microbial-based bioremediation, micronutrients, clay minerals, and nanoremediation, are reviewed with a critical assessment of their effectiveness, cost-efficiency, and suitability for use in agricultural soils. This review shows how plants deal with Sb stress, providing insights into lowering Sb levels in the environment and lessening risks to ecosystems and human health along the food chain. Examining different methods like bioaccumulation, bio-sorption, electrostatic attraction, and complexation actively works to reduce toxicity in contaminated agricultural soil caused by Sb. In the end, the exploration of recent advancements in genetics and molecular biology techniques are highlighted, which offers valuable insights into combating Sb toxicity. In conclusion, the findings of this comprehensive review should help develop innovative and useful strategies for minimizing Sb absorption and contamination and thus successfully managing Sb-polluted soil and plants to reduce environmental and public health risks.

Harnessing plant extracts for eco-friendly synthesis of iron nanoparticle (Fe-NPs): Characterization and their potential applications for ameliorating environmental pollutants.

Iron-nanoparticles (Fe-NPs) are increasingly been utilized in environmental applications due to their efficacy and strong catalytic activities. The novelty of nanoparticle science had attracted many researchers and especially for their green synthesis, which can effectively reuse biological resources during the polymerization reactions. Thus, the synthesis of Fe-NPs utilizing plant extracts could be considered as the eco-friendly, simple, rapid, energy-efficient, sustainable, and cost-effective. The green synthesis route can be recognized as a practical, valuable, and economically effective alternative for large-scale production. During the production process, some biomolecules present in the extracts undergo metal salts reduction, which can serve as both a capping and reducing mechanism, enhancing the reactivity and stability of green-synthesized Fe-NPs. The diversity of species provided a wide range of potential sources for green synthesis of Fe-NPs. With improved understanding of the specific biomolecules involved in the bioreduction and stabilization processes, it will become easier to identify and utilize new, potential plant materials for Fe-NPs synthesis. Newly synthesized Fe-NPs require different characterization techniques such as transmission electron microscope, ultraviolet-visible spectrophotometry, and X-ray absorption fine structure, etc, for the determination of size, composition, and structure. This review described and assessed the recent advancements in understanding green-synthesized Fe-NPs derived from plant-based material. Detailed information on various plant materials suitable of yielding valuable biomolecules with potential diverse applications in environmental safety. Additionally, this review examined the characterization techniques employed to analyze Fe-NPs, their stability, accumulation, mobility, and fate in the environment. Holistically, the review assessed the applications of Fe-NPs in remediating wastewaters, organic residues, and inorganic contaminants. The toxicity of Fe-NPs was also addressed; emphasizing the need to refine the synthesis of green Fe-NPs to ensure safety and environmental friendliness. Moving forward, the future challenges and opportunities associated with the green synthesis of Fe-NPs would motivate novel research about nanoparticles in new directions.

When Is Telemedicine Appropriate in the Management of Head and Neck Cancer? A Mixed-Methods Assessment Among Patients and Physicians.

PURPOSE: Evidence suggests that oncology patients are satisfied with and sometimes prefer telemedicine compared with in-person visits; however, data are scarce on when telemedicine is appropriate for specific cancer populations. In this study, we aim to identify factors that influence patient experience and appropriateness of telemedicine use among a head and neck cancer (HNC) population. METHODS: We performed a mixed-methods study at a multisite cancer center. First, we surveyed patients with HNC and analyzed factors that may influence their telemedicine experience using multivariate regression. We then conducted focus groups among HNC oncologists (n = 15) to evaluate their perception on appropriate use of telemedicine. RESULTS: From January to December 2020, we collected 1,071 completed surveys (response rate 24%), of which 551 first unique surveys were analyzed. About half of all patients (56%) reported telemedicine as "same or better" compared with in-person visits, whereas the other half (44%) reported "not as good or unsure." In multivariate analyses, patients with thyroid cancer were more likely to find telemedicine "same or better" (adjusted odds ratio, 2.08 [95% CI, 1.35 to 3.25]) compared with other HNC populations (mucosal/salivary HNC). Consistently, physician focus group noted that patients with thyroid cancer were particularly suited for telemedicine because of less emphasis on in-person examinations. Physicians also underscored factors that influence telemedicine use, including clinical suitability (treatment status, visit purpose, examination necessity), patient benefits (travel time, access), and barriers (technology, rapport-building). CONCLUSION: Patient experience with telemedicine is diverse among the HNC population. Notably, patients with thyroid cancer had overall better experience and were identified to be more appropriate for telemedicine compared with other patients with HNC. Future research that optimizes patient experience and selection is needed to ensure successful integration of telemedicine into routine oncology practice.

Exploring the role of cancer fatalism and engagement with skin cancer genetic information in diverse primary care patients.

OBJECTIVE: To broaden the currently limited reach of genomic innovations, research is needed to understand how psychosocial and cultural factors influence reactions to genetic testing in diverse subgroups. Cancer fatalism is important in cancer prevention and deserves theoretical and empirical attention in the context of genomics and behavior change. METHODS: The current study employed data from a randomized controlled trial (N = 593) offering skin cancer genetic testing (using the melanocortin-1 receptor [MC1R] gene) in primary care in Albuquerque, New Mexico, USA. We examined interrelations of cancer fatalism with demographics, general health beliefs, perceived risk, perceived control, sun protection and skin screening behaviors and cancer worry in the skin cancer context stratified across Hispanic versus non-Hispanic ethnicity, and examined cancer fatalism as a moderator of intervention effects on study primary outcomes, including 3-month sun protection, cancer worry and perceived risk. RESULTS: Cancer fatalism was significantly related to the perception of control over skin cancer risk behaviors (ps ≤ 0.01) and demographics (ethnicity, education, health literacy; ps < 0.05), but not consistently related to general health beliefs or risk perception. Cancer fatalism did not moderate intervention effects on primary outcomes, except those with higher cancer fatalism randomized to intervention had higher levels of 3-month cancer worry (p = 0.019). CONCLUSIONS: These findings will guide future work considering the role of cancer fatalism in use of genomic technologies in the general population. This work anticipates strategies required to address cancer fatalism as translational genomics becomes more commonly available to diverse general population subgroups.

Comparative study and effects of urban green scape on the land surface temperature of a large metropolis and green city.

Previous studies have provided valuable insights into the impact of green space (GS) on land surface temperature (LST). However, there is a need for in-depth comparative research on changing landscape patterns in cities and their effects on the urban thermal environment. This study investigates the spatial arrangement of GS and the influence of impervious surfaces on LST in urban areas, examining their cooling and warming effects in the urban landscapes of Beijing and Islamabad. The study aims to assess the impact of the spatial arrangement of GS on LST using a moving window of 1 km2 to analyze the overall effect of landscape patterns on the urban environment. Using Gaofen (GF-2) and Landsat-8 satellite data, we examined the biophysical surface properties of core urban areas. The results indicate a significant difference in the mean LST of 5.44 °C and 3.31 °C between impervious surfaces and GS in Beijing and Islamabad, respectively. The barren land and GS in Islamabad experience a higher LST of 3.39 °C compared to Beijing, which accounts for 1.39 °C. In Beijing, configuration metrics show no significant effect on urban LST, while edge density (ED) exhibits a slightly negative trend. In contrast, in the city of Islamabad, the landscape shape index (LSI), patch density (PD), and number of patches (NP) metrics have a significant influence on LST. The cooling effect of GS patches (0.1-0.5 ha) is more pronounced, while that of GS patches of 15-20 ha shows no significant effect on LST. The temperature difference (TD) of 5.01 °C was observed from the edge of GS in Beijing and 3.3 °C in Islamabad. Considering Islamabad's lush green scape compared to Beijing, this study suggests that Islamabad may experience an increase in LST in the future due to urbanization. This study's findings may assist urban policy-makers in designing sustainable green city layouts that effectively address future planning considerations.

The effect of L-carnitine supplementation during in vitro maturation on oocyte maturation and somatic cloned embryo development.

The quality of the recipient cytoplasm was reported as a crucial factor in maintaining the vitality of SCNT embryos and SCNT efficiency for dairy cows. Compared with oocytes matured in vivo, oocytes matured in vitro showed abnormal accumulation and metabolism of cytoplasmic lipids. L-carnitine treatment was found to control fatty acid transport into the mitochondrial ß-oxidation pathway, which improved the process of lipid metabolism. The results of this study show that 0.5 mg/ml L-carnitine significantly reduced the cytoplasmic lipid content relative to control. No significant difference was observed in the rate of oocyte nuclear maturation, but the in vitro developmental competence of SCNT embryos was improved in terms of increased blastocyst production and lower apoptotic index in the L-carnitine treatment group. In addition, the pregnancy rate with SCNT embryos in the treatment group was significantly higher than in the control group. In conclusion, the present study demonstrated that adding L-carnitine to the maturation culture medium could improve the developmental competence of SCNT embryos both in vitro and in vivo by reducing the lipid content of the recipient cytoplasm.

Long-term warming increased carbon sequestration capacity in a humid subtropical forest.

Tropical and subtropical forests play a crucial role in global carbon (C) pools, and their responses to warming can significantly impact C-climate feedback and predictions of future global warming. Despite earth system models projecting reductions in land C storage with warming, the magnitude of this response varies greatly between models, particularly in tropical and subtropical regions. Here, we conducted a field ecosystem-level warming experiment in a subtropical forest in southern China, by translocating mesocosms (ecosystem composed of soils and plants) across 600 m elevation gradients with temperature gradients of 2.1°C (moderate warming), to explore the response of ecosystem C dynamics of the subtropical forest to continuous 6-year warming. Compared with the control, the ecosystem C stock decreased by 3.8% under the first year of 2.1°C warming; but increased by 13.4% by the sixth year of 2.1°C warming. The increased ecosystem C stock by the sixth year of warming was mainly attributed to a combination of sustained increased plant C stock due to the maintenance of a high plant growth rate and unchanged soil C stock. The unchanged soil C stock was driven by compensating and offsetting thermal adaptation of soil microorganisms (unresponsive soil respiration and enzyme activity, and more stable microbial community), increased plant C input, and inhibitory C loss (decreased C leaching and inhibited temperature sensitivity of soil respiration) from soil drying. These results suggest that the humid subtropical forest C pool would not necessarily diminish consistently under future long-term warming. We highlight that differential and asynchronous responses of plant and soil C processes over relatively long-term periods should be considered when predicting the effects of climate warming on ecosystem C dynamics of subtropical forests.

Individual differences in the long-term impact of the pandemic: moderators of COVID-related hardship, worry, and social support.

PURPOSE: Understanding people's response to the pandemic needs to consider individual differences in priorities and concerns. The present study sought to understand how individual differences in cognitive-appraisal processes might moderate the impact of three COVID-specific factors-hardship, worry, and social support-on reported depression. METHODS: This longitudinal study of the psychosocial impact of the COVID-19 pandemic included 771 people with data at three timepoints over 15.5 months. Participants were recruited from panels of chronically ill or general population samples. Depression was measured by an item response theory validated depression index created using items from existing measures that reflected similar content to the Patient Health Questionnaire-8. COVID-specific factors of hardship, worry, and social support were assessed with items compiled by the National Institutes of Health. The Quality of Life Appraisal Profilev2 Short-Form assessed cognitive appraisal processes. A series of random effects models examined whether appraisal moderated the effects of hardship, worry, and social support on depression over time. RESULTS: Over time the association between low social support and depression was greater (p = 0.0181). Emphasizing the negative was associated with exacerbated depression, in particular for those with low social support (p = 0.0007). Focusing on demands and habituation was associated with exacerbated depression unless one experienced greater hardship (p = 0.0074). There was a stronger positive connection between recent changes and depression for those people with higher worry scores early in the pandemic as compared to later, but a stronger positive correlation for those with lower worry scores later in the pandemic (p = 0.0015). Increased endorsement of standards of comparison, emphasizing the negative, problem goals, and health goals was associated with worse depression scores (all p < 0.0001). People who were younger, disabled, or had greater difficulty paying bills also reported worse depression (p < 0.0001, 0.0001, and 0.002, respectively). CONCLUSION: At the aggregate level, COVID-specific stressors changed over the course of the pandemic, whereas depression and social-support resources seemed stable. However, deeper analysis revealed substantial individual differences. Cognitive-appraisal processes showed considerable variability across individuals and moderated the impact of COVID-specific stressors and resources over time. Future work is needed to investigate whether coaching individuals away from maladaptive cognitive-appraisal processes can reduce depression and lead to better overall well-being.

The effect of Tai Chi exercise intervention on sleep quality in community residing older adults: a systematic review and meta-analysis.

PURPOSE: While clinical research has shown that Tai Chi exercise may improve the sleep quality of older adults, there is a lack of robust evidence-based verification. Therefore, this study conducted a systematic review of published research on the effect of Tai Chi exercise on the sleep quality of community-dwelling older adults, aiming to provide solid evidence-based medicine to enhance their sleep quality. METHODS: A systematic search was conducted on PubMed, Embase, Cochrane Library, Web of Science, CNKI, WanFang, VIP, and SinoMed databases from their inception to December 9, 2022. The Cochrane risk of bias assessment tool 2.0 was used to assess the risk of bias in the included studies. RESULTS: This systematic review included 12 original articles, involving a total of 1,058 community-dwelling older adults, with 553 in the Tai Chi group and 505 in the control group. The meta-analysis results revealed a significant improvement in the sleep quality of community-dwelling older adults who practiced Tai Chi compared to the control group [WMD = - 1.96 (95% CI: - 3.02 to - 0.90, z = 3.62, P < 0.001)]. Subgroup analysis showed that Tai Chi had significantly beneficial effects regardless of age, country/region, intervention time, and Tai Chi type. CONCLUSIONS: Tai Chi exercise can serve as an effective non-medication approach for addressing sleep problems in this demographic. Among the various types of Tai Chi exercises, the 24-form Tai Chi exercise emerges as a preferred option. Moreover, Tai Chi exercise proves to be an excellent choice for older people in their later years, promoting their overall well-being and health.

Harel-Yoon syndrome caused by a novel variant in ATAD3A: A case report.

Objectives: To describe the clinical feature of a very recently identified phenotype associated with ATAD3A variation. Methods: A neonate with Harel-Yoon syndrome was identified. We describe the proband's clinical and radiological features. The affected newborn and her parents underwent whole-exome sequencing and PCR-Sanger sequencing. Results: Previously reported clinical manifestations were rare in the neonatal period, including unmanageable seizures necessitating the use of multiple drugs, congenital laryngeal stridor, hypotonia, challenges with feeding, corneal opacity, and subsequent demise due to respiratory failure. Molecular investigations have unveiled the presence of a newly identified heterozygous single-base substitution (c.1517A > C; p.Q506P) within the ATAD3A gene. Discussion: This study unveils a novel single-base substitution, thereby expanding the mutation spectrum associated with ATAD3A. Furthermore, the clinical characteristics exhibited during the neonatal phase are comprehensively described, potentially facilitating improved clinical recognition of ATAD3A-associated HAYOS.

Effect of fire and post-fire management on soil microbial communities in a lower subtropical forest ecosystem after a mountain fire.

Wildfires and post-fire management exert profound effects on soil properties and microbial communities in forest ecosystems. Understanding microbial community recovery from fire and what the best post-fire management should be is very important but needs to be sufficiently studied. In light of these gaps in our understanding, this study aimed to assess the short-term effects of wildfire and post-fire management on both bacteria and fungi community composition, diversity, structure, and co-occurrence networks, and to identify the principal determinants of soil processes influencing the restoration of these communities. Specifically, we investigated soil bacterial and fungal community composition, diversity, structure, and co-occurrence networks in lower subtropical forests during a short-term (<3 years) post-fire recovery period at four main sites in Guangdong Province, southern China. Our results revealed significant effects of wildfires on fungal community composition, diversity, and co-occurrence patterns. Network analysis indicated reduced bacterial network complexity and connectivity post-fire, while the same features were enhanced in fungal networks. However, post-fire management effects on microbial communities were negligible. Bacterial diversity correlated positively with soil microbial biomass nitrogen, soil organic carbon, and soil total nitrogen. Conversely, based on the best random forest model, fungal community dynamics were negatively linked to nitrate-nitrogen and soil water content. Spearman's correlation analysis suggested positive associations between bacterial networks and soil factors, whereas fungal networks exhibited predominantly negative associations. This study elucidates the pivotal role of post-fire management in shaping ecological outcomes. Additionally, it accentuates the discernible distinctions between bacterial and fungal responses to fire throughout a short-term recovery period. These findings contribute novel insights that bear significance in evaluating the efficacy of environmental management strategies.