Evidence-based recommendations regarding risk reduction practices for people at risk of or with breast cancer-related lymphedema: consensus from an expert panel.

Several recent studies have investigated the validity of precautionary practices for lymphedema risk reduction after breast cancer treatment, such as avoidance of blood pressure measurements, skin puncture, blood draws, and use of prophylactic compression during air travel. Other studies have elucidated risk factors for breast cancer-related lymphedema, such as axillary lymph node dissection and skin infection (cellulitis). Combining the current evidence base with the consensus opinion of lymphatic experts assembled at the American Cancer Society/Lymphology Association of North America Summit in October 2023, updated evidence-based risk reduction recommendations are presented for those with or at risk of breast cancer-related lymphedema. Recommendation topics include prospective surveillance, patient education, individual risk factors, exercise, blood pressure, skin care and hygiene, skin puncture and blood draws, surgical procedures, prophylactic compression, air travel, and hot climate and sauna. These recommendations will help inform education and medical choices for individuals treated for breast cancer who are at risk of or diagnosed with breast cancer-related lymphedema. More high-quality evidence is required to allow the development of risk reduction recommendations for other cancer types such as gynecological, melanoma, and head and neck. It is recommended that clinicians and organizations serving people at risk of or with lymphedema align risk reduction guidelines with the evidence-based recommendations provided within this consensus document and companion manuscripts from the American Cancer Society/Lymphology Association of North America Lymphedema Summit: Forward Momentum: Future Steps in Lymphedema Management.

How do health content creators perform well? An integration research of short video and livestream behaviors.

Introduction: Short-video platforms have demonstrated vast potential for health education. To meet diverse user requirements, many short-video platforms have integrated livestreaming functionalities. This integration presents challenges for health content creators in formulating effective performance strategies, including decisions about which format to use (short video or livestream) and what type of content to produce. This study utilizes panel data from a prominent short-video platform in China to empirically investigate the impact of different forms and content characteristics on the performance of health content creators. Methods: We conducted an empirical analysis using panel data obtained from a leading short-video platform in China. Our analysis focused on understanding how the behaviors associated with short videos and livestreaming impact the performance of health content creators. We examined form-level differences, analyzing the distinct roles of short video and livestreaming behaviors. Additionally, we explored content-level characteristics, investigating the effects of content coverage, health knowledge content, and advertising content on both short-term and long-term performance. The moderation effects of the creator's occupation and certification type were also analyzed. Results: Our form-level analysis revealed that health creators' behaviors in short videos and livestreaming play distinct roles in their performance. Livestreaming behaviors resulted in short-term economic returns, while short video behaviors had a more significant effect on follow-ups, which are often viewed as long-term, more sustainable performance indicators. Content-level analysis showed that content coverage and health knowledge content enhance long-term performance but do not increase short-term performance. Conversely, advertising content was found to be essential for securing short-term financial income. The study also identified that the creator's occupation and certification type moderate the impact of content on performance. Conclusion: This study integrates two media forms (short video and livestream), providing direct insights into the performance of health content creators in the realm of health education. Health content creators need to strategically balance their use of short videos and livestreaming to optimize both short-term and long-term performance outcomes. Specifically, increasing content coverage and health knowledge can enhance long-term engagement, while incorporating advertising content is crucial for immediate financial gains.

Beyond the blues: The protective influence of adaptability and well-being on university students' mental health.

INTRODUCTION: Theoretical approaches suggest that adaptability and well-being could serve as protective factors in influencing mental health. However, it remains empirically unclear how students' prior adaptability and well-being predict depression (and vice versa) in the long term. Hence, using a longitudinal design, the present study explores the reciprocal relations among university students' adaptability, well-being, as well as depression before, during, and after the lockdown resulting from the COVID-19 pandemic. METHODS: In a sample of 7527 Chinese university students (51.7% female; mean age = 18.38, standard deviation [SD] = 0.77), we measured adaptability, university-related well-being, and depression. Self-report assessments were administered before (Time 1, October 2019), 1 year after (Time 2, March 2021), and 2 years after (Time 3, March 2022) the COVID-19 outbreak in a comprehensive public university in China. RESULTS: Cross-lagged panel analysis revealed that prior adaptability and university-related well-being negatively predicted subsequent depression, even when statistically controlling for demographic factors such as gender, family economic status, and so on. Moreover, results showed positive reciprocal relations between adaptability and university-related well-being. CONCLUSIONS: Findings indicate that adaptability and university-related well-being have long-term protective effects on the mental health of university students, which could mitigate the negative effects of COVID-19 or other crises. The implications for practice and suggestions for future research are discussed.

How Housing Stress Affect Health Care Costs: A Panel Data Study.

As housing prices in China continue to escalate and the limitations of the "personal unlimited liability system" for housing loans become more evident, the financial stress on families has significantly increased. This stress not only impacts the physical and mental health of family members but also results in rising health care costs. This paper presents empirical research examining how housing stress influences changes in household health care costs through a panel data analysis. The study is based on the China Family Panel Study (CFPS) database and employs a panel two-way fixed effect model alongside a mediating effect model to examine the impact of housing stress, family income, and health status on health care costs. The findings reveal a significant positive correlation between housing stress and health care costs; specifically, for every 1% point increase in housing stress, health care costs rise by 0.141. Robustness tests and propensity score matching (PSM) further validate these findings, even after addressing endogeneity issues. Mediation effect analysis indicates that for every 1% point increase in housing stress, household disposable income decreases by 1.749, and health status declines by 0.468, thereby increasing household health care costs. Heterogeneity analysis demonstrates that housing stress has a more pronounced impact on health care costs among western, eastern, urban, and rental households. The government should implement various measures, such as promoting a "personal limited liability system" mortgage policy, reducing housing prices, and ensuring equal rights to rent and purchase, to alleviate housing stress, enhance family income, and improve residents' health status. These actions would contribute to the promotion of both the housing market and medical care, supporting the sustainable development of the health care sector and ultimately improving long-term social welfare.

Development of a Uniform Apheresis Case Report Form for Standardized Collection of Apheresis Data.

Apheresis is performed worldwide for an increasing number of indications. The development of common data elements (CDE) for apheresis related areas may facilitate conduct of new research, enhance quality initiatives including benchmarking, and improve patient care. This report describes the systematic development of the Uniform Apheresis Case Report Form (UACRF) as part of the Apheresis in the United States (ApheresUS) program. A consensus panel of 17 diverse experts in apheresis, related specialties, and electronic case report form (eCRF), and database development was assembled. The panel met via online conferencing from November 17, 2020 to December 1, 2021. A draft document was posted online for public comment from October 11, 2021 to November 10, 2021. Feedback was collected using an online survey tool. The consensus panel revised the UACRF. This version was converted to an eCRF with additional changes made to improve usability in this format. The final version of the UACRF was created on August 24, 2023. The UACRF contains 16 modules: procedure and subject eligibility, patient demographics, general procedure information, laboratory parameters, vascular access, common procedure elements, eight procedure specific modules (mononuclear cell collection and seven therapeutic modalities), outcomes, and site information. A total of 137 data elements were created, including 57 with one or more subelements. The UACRF is the first systematic attempt to develop CDE for therapeutic apheresis and white blood cell collections. Further validation of the UACRF is necessary to confirm the tool's ability to collect the relevant data elements and determine the usability of the form.

Association of acute exposure to PM2.5 constituents and sources with kidney injury: A longitudinal panel study of Nrf2 promoter polymorphism.

Evidence on the effects of fine particulate matter (PM2.5) constituents and sources on kidney injury is limited. We designed a panel study with 4 repeated measurements to investigate the association of acute exposure to chemical constituents and source-specific PM2.5 with kidney function and renal tubular injury. We further evaluated the modifying effect of Nrf2 promoter polymorphism. In this study, a total of 64 participants were recruited and ambient PM2.5 constituents were monitored at a fixed-site station. We used a positive matrix factorization (PMF) model to identify emission sources and linear mixed-effect models to explore the associations. An interquartile range (IQR) increase in PM2.5 concentration was associated with a 1.40 % and 3.15 % decrease in eGFR-Cr (eGFR assessed by creatinine) and eGFR-Cys (eGFR assessed by cystatin-C), respectively, and 10.2 % higher kidney injury molecule 1 (KIM-1) levels. Carbonaceous components (EC and OC), metallic elements (Cr, K, Pb, Zn) and Cl- were robustly responsible for kidney injury. Per IQR increase in these constituents accounted for 0.57 % to 1.62 % declines in eGFR-Cr; 1.36 % to 3.66 % declines in eGFR-Cys; and 7.50 % to 19.83 % increments in KIM-1. Specific source analysis revealed that PM2.5 emitted by combustion was associated with the largest reduction in eGFR, while the secondary source played a more prominent role in renal tubular injury. The dominant models showed that the magnitudes of the effect estimates of PM2.5 and its constituents were generally larger in the participants with minor alleles of the Nrf2 promoter. These findings suggest that acute exposure to EC, OC, Cl- and several metallic constituents may be responsible for kidney injury induced by PM2.5, especially in individuals with unfavorable Nrf2 genotypes. PM2.5 from combustion and secondary sources impairs kidney health, highlighting the importance of source-oriented PM2.5 control strategies.

Longitudinal relationships between smart wearables, social interaction, and cognitive function: A cross-lagged panel model.

OBJECTIVE: This study aims to explore the longitudinal relationship between the possession of smart wearables (smartwatch/smart wristband) and cognitive function while exploring the mediating role of social interaction. METHODS: We utilized two waves of data from the China Longitudinal Aging Social Survey, including 9,164 participants aged 60 and above. A cross-lagged model was constructed to estimate the relationships among variables, with Sobel tests assessing mediating effects. RESULTS: Smart wearables at T1 positively predicted social interaction at T2 (ß=0.016, p<0.05), while social interaction at T1 positively predicted cognitive function at T2 (ß=0.035, p<0.001). The longitudinal mediating effect of social interaction was significant (p<0.05). Heterogeneity analysis revealed gender differences and varying impacts on fluid and crystallized intelligence. CONCLUSION: A cross-lagged relationship exists among smart wearables, social interaction, and cognitive function, with social interaction serving as a mediator. This study verifies the health effects of smart products, providing insights for gerontechnology development.

Benchmarking of Approaches for Gene Copy-Number Variation Analysis and Its Utility for Genetic Aberration Detection in High-Grade Serous Ovarian Carcinomas.

Objective: The goal of this study was to compare the results of CNV detection by three different methods using 13 paired carcinoma samples, as well as to perform a statistical analysis of the agreement. Methods: CNV was studied using NanoString nCounter v2 Cancer CN Assay (Nanostring), Illumina Infinium CoreExome microarrays (CoreExome microarrays) and digital droplet PCR (ddPCR). Results: There was a good level of agreement (PABAK score > 0.6) between the CoreExome microarrays and the ddPCR results for finding CNVs. There was a moderate level of agreement (PABAK values ≈ 0.3-0.6) between the NanoString Assay results and microarrays or ddPCR. For 83 out of 87 target genes studied (95%), the agreement between the CoreExome microarrays and NanoString nCounter was characterized by PABAK values < 0.75, except for MAGI3, PDGFRA, NKX2-1 and KDR genes (>0.75). The MET, HMGA2, KDR, C8orf4, PAX9, CDK6, and CCND2 genes had the highest agreement among all three approaches. Conclusions: Therefore, to get a better idea of how to genotype an unknown CNV spectrum in tumor or normal tissue samples that are very different molecularly, it makes sense to use at least two CNV detection methods. One of them, like ddPCR, should be able to quantitatively confirm the results of the other.

Expansion Control of Alkali-Activated Materials Using Waste Glass Cullet from Photovoltaic Panels as Fine Aggregates.

Glass cullet (GC) generated from the disposal of photovoltaic (PV) panels are typically landfilled, and effective GC utilization methods must be established for PV generation. In this study, alkali-activated material (AAM) mortars were prepared from the paste of fine blast-furnace slag powder, fly ash, and sodium orthosilicate (SO) and mixed with crushed sand and GC to investigate the potential use of GC as a fine aggregate in AAM. The replacement of crushed sand with GC did not considerably affect the flowability of the mortar, whereas the compressive strength decreased with the increasing GC replacement rates. Although expansion due to the alkali-silica reaction (ASR) was observed in mortars wherein GC replaced crushed sand, the expansion can be controlled by reducing the amount of mixed SO, autoclaving the GC, performing preleaching to remove the Si that causes the ASR, and replacing the blast-furnace slag with fly ash. By enforcing measures against the expansion, the possibility of using GC as fine aggregate is enhanced considerably, thus increasing the feasibility of continuous PV production.

All-in-one bimodal DNA and RNA next-generation sequencing panel for integrative diagnosis of glioma.

Previously, we constructed a DNA-based next-generation sequencing (NGS) panel for an integrated diagnosis of gliomas according to the 2021 World Health Organization classification system. The aim of the current study was to evaluate the feasibility of a modified panel to include fusion gene detection via RNA-based analysis. Using this bimodal DNA/RNA panel, we analyzed 210 cases of gliomas and others to identify fusion genes in addition to gene alterations, including TERT promoter (TERTp) mutation and 1p/19q co-deletion, in formalin-fixed paraffin-embedded tissues. Of the 210 patients, fusion genes were detected in tumors of 35 patients. Eighteen of 112 glioblastomas (GBs) harbored fusion genes, including EGFR and FGFR3 fusions. In IDH-mutant astrocytoma, 6 of 30 cases showed fusion genes such as MET and NTRK2 fusions. Eleven molecular GBs and 20 not-elsewhere-classified cases harbored no gene fusions. Other 11 tumors including ependymoma, pilocytic astrocytoma, diffuse hemispheric glioma, infant-type hemispheric glioma, and solitary fibrous tumors exhibited diagnostic fusion genes. Overall, our results suggest that the all-in-one bimodal DNA/RNA panel is reliable for detecting diagnostic gene alterations in accordance with the latest WHO classification. The integrative pathological and molecular strategy could be valuable in confirmation of diagnosis and selection of treatment options for brain tumors.

Utility of multi-biomarker panel on discriminating disease activity in patients with psoriatic arthritis.

OBJECTIVE: To investigate the correlation of serum protein biomarkers and disease activity in patients with PsA. METHODS: 176 patients fulfilled the CASPAR (ClASsification criteria for Psoriatic ARthritis) were recruited in this cross-sectional study. The level of 48 protein biomarkers, cartilage and bone turn-over markers were assessed. The patients were randomly divided into a derivation-cohort and a validation-cohort at a ratio of 7:3. Patients were further categorized based on their disease activity states using cDAPSA (remission/low disease activity and moderate/high disease activity). Least absolute shrinkage and selection operator (LASSO) was used to select biomarkers which were associated with moderate/high disease activity in the derivation cohort. Receiver operating characteristic (ROC) curve, GiViTI calibration belt were used to assess the performance of the model in both cohorts. RESULTS: The cohort [age: 55.5 (44.0-62.75) years, male: 80 (45.5 %)] had moderate disease activity [DAPSA: 15.9 (8.3-26.9); PASI: 3.2 (0.5-6.8)]. 101 PsA patients (57.4 %) had clinical DAPSA moderate/high disease activity. Biomarker levels associated with moderate/high disease activity included SAA (Serum amyloid A), IL-8 (Interleukin 8), IP10 (Interferon gamma-induced protein 10)/CXCL10, M-CSF (Macrophage colony-stimulating factor), SCGF-ß (Stem cell growth factor), SDF-1α (Stromal cell-derived factor 1α)/CXCL12. The model's equation including the 6 biomarker levels was applied to the validation-cohort. The area under the ROC curve (AUC) for discriminating moderate/high disease activity was 0.802 and 0.835 for the derivation-and-validation-cohorts, respectively. The multi-biomarkers panel model had higher-AUC when compared with that of C-reactive protein (CRP) (AUC = 0.727, p = 0.022). The P-values of calibration charts in the two sets were 0.902 and 0.123. CONCLUSIONS: The multi-biomarkers panel demonstrated the ability to discriminate patients with moderate/high disease activity from those with low disease activity/remission.

Fears of positive and negative evaluation and their within-person associations with emotion regulation in adolescence: A longitudinal analysis.

Fear of positive evaluation (FPE) has recently emerged as an important aspect of social anxiety, alongside fear of negative evaluation. These evaluation fears peak during adolescence, a developmental stage that is also often accompanied by difficulties in emotion regulation, thereby increasing young individuals' vulnerability to mental disorders, such as social anxiety. We aimed to examine the longitudinal within-person associations between fears of evaluation, social anxiety, and three emotion regulation strategies (i.e., acceptance, suppression, rumination) in adolescents. Data were collected from a sample of 684 adolescents through an online survey three times over the course of 6 months and were analyzed using random intercept cross-lagged panel models. At the between-person level, FPE was linked to all three emotion regulation strategies, whereas fear of negative evaluation and social anxiety were associated with acceptance and rumination. At the within-person level, difficulties in accepting emotions predicted FPE, suppression predicted social anxiety, and social anxiety predicted rumination over time. These findings reveal complex interdependencies between emotion regulation, social anxiety, and evaluation fears, both reflecting individual differences and predicting changes within individuals, and further elucidate the developmental trajectory of social anxiety in adolescence.

Leveraging non-coding regions to guarantee the accuracy of small-sized panel-based tumor mutational burden estimates.

Accurate estimation of tumor mutational burden (TMB) as a predictor of responsiveness to immune checkpoint inhibitors in gene panel assays requires an adequate panel size. The current calculations of TMB only consider coding regions, while most of gene panel assays interrogate non-coding regions. Leveraging the non-coding regions is a potential solution to address this panel size limitation. However, the impact of including non-coding regions on the accuracy of TMB estimates remains unclear. This study investigated the validity of leveraging non-coding regions to supplement panel size using the OncoGuide NCC Oncopanel System (NOP). The aim of this study was to evaluate test performance against orthogonal assays and the association with responsiveness to immune checkpoint inhibitors was not included in the evaluation. We compared TMB status and values between TMB calculated only from coding regions (NOP-coding) and from both coding and non-coding regions (NOP-overall) using whole exome sequencing (WES) and FoundationOne®CDx (F1CDx) assay. Our findings revealed that NOP-overall significantly improved the overall percent agreement (OPA) with TMB status compared with NOP-coding for both WES (OPA: 96.7% vs. 73.3%, n = 30) and F1CDx (OPA: 90.0% vs. 73.3%). Additionally, the mean difference in TMB values compared with WES was lower for NOP-overall (3.55 [95% CI: 0.98-6.13]) than for NOP-coding (6.22 [95% CI: 3.73-8.70]). These results exemplify the utility of incorporating non-coding regions to maintain accurate TMB estimates in small-sized panels.

Psychotic experiences and psychological distress in adolescents: an examination of longitudinal bidirectional effects across sex.

BACKGROUND: Although the co-occurrence of psychotic experiences (PEs) and psychological distress symptoms is growingly recognized in several previous studies, there is still a lack of literature, which clearly outlines how these two psychopathological entities affect each other over time. This study is intended to add to the literature by examining: (a) the longitudinal, bidirectional associations between PEs and psychological distress in a sample of Tunisian adolescents, and (b) whether these associations are moderated by sex. METHODS: 510 adolescent students (mean age of 16.05 ± 1.01 years, 61.2% females) took part in a prospective longitudinal study. PEs and psychological distress were measured at three occasions over a one-year period. The cross-lagged panel modeling approach was adopted. RESULTS: The current results showed that the experience of PEs at baseline tended to temporally precede prospective increases in psychological distress (at 6 months), which had in turn led to further exacerbation of psychological distress at 12 months of follow-up. Temporally primary psychological distress symptoms were not a significant predictor for the development of later psychotic symptoms in the whole sample. However, temporal patterns between adolescent distress and psychotic symptoms differed for girls and boys. Endorsing PEs at baseline was followed by greater psychological distress at 6 months, which was in turn associated with a significant increased risk of subsequent exacerbation of PEs at 12 months in boys, whereas psychological distress at 12-month follow-up was significantly predicted by pre-existing PEs in girls. CONCLUSION: These findings suggest that clinicians and support workers are recommended to take into account different social risk profiles for boys and girls when considering interventions to address PEs and distress in adolescents.

Unpacking the care-related quality of life effect of England's publicly funded adult social care. A panel data analysis.

Adult Social Care (ASC) is the publicly-funded long-term care program in England that provides support with activities of daily living to people experiencing mental and/or physical challenges. Existing evidence suggests that ASC expenditure improves service users' care-related quality of life (CRQoL). However, less is known about the channels through which this effect exists and the effect on outcomes other than CRQoL. We fill this gap by analyzing survey data on ASC service users who received long-term support from 2014/15 to 2019/20 using panel data instrumental variable methods. We find that the beneficial impact of ASC expenditure on the CRQoL of both new and existing users is mostly driven by users aged 18-64 without any learning disability and users with no learning disability aged 65 or older receiving community-based ASC. Moreover, control over daily life, occupation, and social participation are the CRQoL domains that are improved the most. We also find that ASC expenditure has a beneficial effect on several other outcomes beyond CRQoL for both new and existing users including user satisfaction and experience, the ability to carry out activities of daily living independently, whether their home is designed around needs, accessibility to local places, general health, and mental health through reduced anxiety and depression. Greater ASC expenditure, however, does not address the need for other forms of support such as unpaid informal and privately-funded care.

How can local government capacity lift the 'resource curse'? A study from the perspective of industrial structure transformation.

Industrial transformation is crucial for sustainable urban development and economic security. Although more studies have analyzed the relationship between resource endowment and urban industrial transformation, they have failed to include the key factor of local government capacity in the analysis. Based on the panel data from 267 cities in China from 2003 to 2018, the study examines the impact of resource endowment on industrial transformation and the role of local government capacity in it by using linear models and panel threshold models. This study finds that resource endowment promotes the development of the secondary industry in urban, but hinders the development of the tertiary industry. There is a moderating effect of local government capacity that mitigates the lock-in effect of resource endowment on industrial transformation. This moderating effect demonstrates heterogeneity among cities with different levels of resource endowment and geographic locations, and the results are robust. Furthermore, this study concludes that under different local government capacity, the moderating effect of local government capacity on the relationship between resource endowment and industrial transformation is nonlinear, and it also finds that the stronger local government capacity is not the better.

Old, the new, more or less and the conundrum for biomarkers in cardiovascular diseases?

Biomarkers are critical for diagnostic, monitoring and management of cardiovascular diseases. Opportunities to improve how biomarkers are used are important. This editorial on biomarkers in coronary artery disease provides commentary on the study as well as broad benchmarks on what make ideal biomarkers. Biomarker discovery is difficult and opportunities to expand and improve their use should be encouraged.

Investigation of suspected false positive norovirus results on a syndromic gastrointestinal multiplex molecular panel.

BACKGROUND: Suspected false positive norovirus results occurred after introduction of the BioFire® FilmArray® Gastrointestinal panel (BF-GIP) into 6 laboratory sites, in British Columbia, Canada. OBJECTIVES: The primary objective was to investigate suspected false positive results by performing additional molecular assays and whole genome sequencing (WGS). The second objective was to determine if melting curve review could predict false positive results. STUDY DESIGN: From February 2023 to May 2024, the proportion of potential false positive norovirus results from the BF-GIP was calculated based on confirmatory testing using alternate molecular method. A subset of 65 norovirus BF-GIP positive specimens, including 35 negatives and 30 positives on additional molecular assays, underwent WGS. Melting curves appearances from 150 specimens were reviewed. RESULTS: Overall, 215/784 (27.4 %) BF-GIP norovirus results were suspected to be false positives. When using WGS, 64/65 results were in agreement with confirmatory testing. Notably, 35 specimens negative on confirmatory testing and suspected to be BF-GIP norovirus false positive results were undetectable by WGS. Melting curves did not accurately predict false positives, since 20/72 (27.8 %) had typical appearances upon review. CONCLUSIONS: BF-GIP produces false positive results for norovirus, which cannot be predicted by melting curve review.

Potential causal and temporal relationship between plasma triglyceride levels and circulating leukocyte.

BACKGROUND: Circulating triglyceride (TG) and leukocytes, the main components of the vascular system, may impact each other and co-fuel atherosclerosis. While the causal relationship between plasma TG levels and leukocyte counts remains unclear. METHODS: Bidirectional mendelian randomisation (MR) analysis was conducted to investigate the potential causal relationship between TG levels and the counts of leukocytes and their subtypes. A cross-lagged panel model (CLPM) using a longitudinal healthy screening data (13,389 adults with an follow-up of 4 years) was fitted to examine the temporal relationship between them. RESULTS: Genetically predicted plasma TG levels were positively associated with total leukocyte counts (TLC) [ß(se)=0.195(0.01)], lymphocyte counts (LC) [ß(se)=0.196(0.019)], and neutrophill counts (NC) [ß(se)=0.086(0.01)], which remained significant after adjusting for several confounders. Inversely, the genetically predicted TLC [ß(se)=0.033(0.008)], LC [ß(se)=0.053(0.008)], and NC [ß(se)=0.034(0.008)] were positively associated with plasma TG levels. However, when all three of them were put into the MR model adjusted for each other, only LC was significantly associated with TG levels. There was no association between genetically predicted TG levels and monocyte counts (MC), basophil counts, and eosinophill counts. The results of CLPM showed that the temporal effect of elevated TLC, MC, LC, and NC on plasma TG levels were stronger than the inverse effect. CONCLUSION: Our findings suggesting a causal associations of plasma TG levels with TLC, LC, and NC. In turn, LC was positively associated with plasma TG levels. Additionally, elevated circulating LC may precede high plasma TG levels.

Improving mass lumping and stiffness parameters of bar and hinge model for accurate modal dynamics of origami structures.

The bar and hinge framework uses truss elements and rotational springs to efficiently model the structural behaviour of origami. The framework is especially useful to investigate origami metamaterials as they have repeating geometry, which makes conventional finite element simulations very expensive due to a large number of degrees of freedom. This work proposes improvements to the parameters of bar and hinge model within the context of structural dynamics, specifically modal analysis under small deformations, which has not been carried out previously in the literature. A range of low-frequency modes involving origami folding and panel bending deformations that can be accurately captured by the bar and hinge framework are identified. Within this range, bar and hinge parameters like the lumped masses and the rotational spring stiffness values are derived using conservation laws and finite element tests. The best among the proposed schemes is found to predict natural frequencies of the considered origami structures to within 10% maximum error, improving the accuracy by more than three times from existing schemes. In most cases, the errors in natural frequencies are less than 5%. This article is part of the theme issue 'Origami/Kirigami-inspired structures: from fundamentals to applications'.