Subjective Variables Research Articles

Addressing the sources of inter-subject variability in E-field parameters in anodal tDCS stimulation over motor cortical network

Objetive: . Although transcranial direct current stimulation constitutes a non-invasive neuromodulation technique with promising results in a great variety of applications, its clinical implementation is compromised by the high inter-subject variability reported. This study aims to analyze the inter-subject variability in electric fields (E-fields) over regions of the cortical motor network under two electrode montages: the classical C3Fp2 and an alternative P3F3, which confines more the E-field over this region. Approach. Computational models of the head of 98 healthy subjects were developed to simulate the E-field under both montages. E-field parameters such as magnitude, focality and orientation were calculated over three regions of interest (ROI): M1S1, supplementary motor area (SMA) and preSMA. The role of anatomical characteristics as a source of inter-subject variability on E-field parameters and individualized stimulation intensity were addressed using linear mixed-effect models.Main results. P3F3 showed a more confined E-field distribution over M1S1 than C3Fp2; the latter elicited higher E-fields over supplementary motor areas. Both montages showed high inter-subject variability, especially for the normal component over C3Fp2. Skin, bone and CSF ROI volumes showed a negative association with E-field magnitude irrespective of montage. Grey matter volume and montage were the main sources of variability for focality. The curvature of gyri was found to be significantly associated with the variability of normal E-fields.Significance. Computational modeling proves useful in the assessment of E-field variability. Our simulations predict significant differences in E-field magnitude and focality for C3Fp2 and P3F3. However, anatomical characteristics were also found to be significant sources of E-field variability irrespective of electrode montage. The normal E-field component better captured the individual variability and low rate of responder subjects observed in experimental studies.

Clinical outcomes of patients with unilateral internal derangement of the temporomandibular joint following arthrocentesis and stabilization splint therapy

BackgroundThe management of internal derangement (ID) of the TMJ is challenging because of multiple etiologic factors and varying degrees of severity. The aim of this study was to evaluate the clinical outcomes of patients with unilateral ID treated with arthrocentesis and stabilization splint therapy during a 6-month period.MethodsA total of 105 patients (87 females, 18 males) with unilateral ID were included in this study. Patients were divided into unilateral anterior disc displacement with reduction (ADDwR) and unilateral anterior disc displacement without reduction (ADDwoR). Patients with ADDwoR were subdivided according to the erosive bone changes. Objective parameters on mandibular movement and subjective parameters on pain were obtained and assessed.Their clinical outcomes before and after arthrocentesis and stabilization splint therapy were compared with the chi-square, Fisher’s exact test, paired t-test, or Wilcoxon singed-rank test.ResultsAll objective parameters of unilateral ID patients significantly increased at the 6-month follow-up. The differences in mean visual analog scale (VAS) pain scores were statistically significant in all subjective variables (p < 0.01). In joints with ADDwoR, preoperative maximal mouth opening, and maximal protrusive movement in both groups, with erosive and non-erosive changes were significantly increased after 6 months (p < 0.01). However, right and left maximal lateral movement increased after treatment in both groups but without significant differences. All VAS pain scores on jaw movement and palpation of associated muscles showed a significant decrease regardless of erosive changes.ConclusionsThe combination of arthrocentesis and subsequent stabilization splint therapy was shown to be highly effective in pain reduction and improvement of mandibular movements in both unilateral ADDwR and ADDwoR, as well as in cases with both erosive and non-erosive bony changes associated with unilateral ADDwoR.

P-048 Morphokinetic analysis and implantation prediction of embryos derived from oocytes microinjected with Artificial Intelligence (AI) real-time assessed sperm

Abstract Study question Is embryo morphokinetic development affected by sperm quality assessed real time during Intracytoplasmic Sperm Injection (ICSI)? Summary answer Embryos derived from oocytes microinjected with low-quality sperm, analyzed by an AI-tool, exhibit a sluggish pace and a diminished potential for successful implantation. What is known already The study of embryo morphokinetics provides insights into the temporal aspects of cell division, which are pivotal for successful implantation. Key parameters such as time of division to 3 cells (t3), time to division to 5 cells (t5), time between division to 3 cells and subsequent division to 4 cells (s2) and duration of cell cycle two, i.e. time between division to 2 cells and division to 3 cells (cc2) are closely associated with implantation potential. Monitoring these markers allows clinicians to select embryos with optimal developmental trajectories, improving the chances of successful implantation and ultimately leading to healthier pregnancies. Study design, size, duration That is a single-centre and non-intervention study of 60 ICSI cycles. Seminal samples were assessed real-time with Sperm identification (SiD) software (v1.0, IVF2.0, LTD). Microinjected oocytes were maintained in culture in time-lapse incubators (EmbryoScope or EmbryoScope Plus). Injected sperm and their corresponding oocytes were individually followed-up to assess early embryo morphokinetics: t3, t5, s2, cc2 (273 total blastocysts) in a four-month period. Participants/materials, setting, methods Sixty ICSI cycles (35 from own oocytes and 25 from egg donation) were studied.418 sperm were assessed with SiD and classified as ‘low’, ‘medium’, ‘good’ or ‘best’, according to their motility parameters. Early embryonic morphokinetics were studied focusing on t3, t5, s2 and cc2 times. Ranges related with best implantation potential were studied according to previous works of our group: t3(34-40h), t5 (45-55h), cc2 (9-12h) and s2 (≤0,76h). Main results and the role of chance No discernible differences were observed in the parameters t3 and t5 among embryos within each sperm quality group. However, significant differences were identified in s2 and cc2 metrics between embryos of distinct sperm quality groups. Specifically, oocytes subjected to microinjection with ‘best’ or ‘good’ sperm exhibited an optimal average cc2 length (10.49 ± 5.12), in stark contrast to embryos derived from oocytes microinjected with ‘medium’ or ‘low’ sperm, which manifested an acelerated developmental pace (8.73 ± 5.55) (p &amp;lt; 0.05). Furthermore, embryos from the ‘best’ and ‘good’ groups displayed significantly shorter s2 lengths (1.16 ± 1.98 and 1.03 ± 1.62) compared to embryos from the ‘low’ group (2.73 ± 3.96). The latter exhibited an extended duration between the 3-cell division and subsequent division to 4 cells (p &amp;lt; 0.05). These findings lead us to infer that embryos arising from oocytes microinjected with ‘best’ or ‘good’ sperm possess superior implantation potential compared to those originating from oocytes microinjected with ‘medium’ or ‘low’ sperm, as indicated by SiD scores. The latter cohort appears to exhibit an alterated morphokinetic development and diminished implantation potential. Limitations, reasons for caution This project is limited by its retrospective and single-centre nature. In addition, studying later embryo morphokinetics parameters could provide a better description of embryo development and its relation with sperm quality assessed real-time. Finally, sperm morphology should also be included in SiD software because of its relation with reproductive success. Wider implications of the findings Selection of high-quality sperm to microinject into the oocytes, supported by real-time analysis, could contribute to improved morphological and kinetic characteristics of embryos, potentially increasing the chances of success in assisted reproductive procedures. In addition, it provides an opportunity to reduce subjectivity and inter-user variability of ICSI procedure. Trial registration number Not applicable

A Comparative Study of Data Mining Methods for Solar Radiation and Temperature Forecasting Models

Photovoltaic (PV) energy systems are a leading type of renewable energy systems globally. Predicting PV energy production accurately is crucial for maintaining efficient energy grids, making informed decisions in the energy market, and reducing maintenance costs. To ensure high accuracy and optimal production, it is essential to monitor and analyze these variables regularly. Solar radiation and temperature are two meteorological variables that directly affect the quantity of PV energy generated in PV facilities. The Performance Ratio (PR) is a critical parameter for assessing PV plant performance. A comprehensive model was constructed in this study to forecast solar radiation and temperature using multiple machine learning methods, including Instance-Based K-Nearest Neighbor Algorithm (IBK), Linear Regression, Random Forests, Random Tree, Multilayer Perceptron (MLP), and MLP Regression. Moreover, we used time series approaches, such as Simple Exponential Smoothing (SES), Error-Trend-Seasonality (ETS), Autoregressive Integrated Moving Average (ARIMA) and Holt Winter&amp;#39;s Seasonal Method (HWES) models for PV systems prediction. Initially, we conducted daily forecasts as well as 1-step ahead forecasts at 5-minute intervals for both solar radiation and temperature. It is crucial to subject both variables to the same methodology in order to construct precise models for forecasting PV. Secondly, we compared the predicted values of solar radiation and temperature with the actual energy yield of the power plant to calculate energy production. Subsequently, a relative analysis of data mining models and time series models have been performed depending on the statistical error criteria like RMSE, MAPE, MABE, MAE, MSE, and direction accuracy (DAC).&amp;nbsp;

Switching intention of conventional bank customers to Sharia bank based on push-pull-mooring theory

PurposeThis study aims to see the variables of customer satisfaction level, attractiveness of alternatives, subjective norms and level of religiosity of conventional bank customers in West Java and their effect on switching intentions.Design/methodology/approachA causality description technique with a quantitative approach is used in this research. The analytical technique used is partial least square-structural equation modeling with a sample of 320 respondents from conventional bank customers in West Java.FindingsThe results revealed that the level of customer satisfaction and subjective norms were in the medium category, whereas the level of alternative attractiveness, religiosity and switching intentions was in high level. The level of customer satisfaction harms switching intentions, whereas the level of alternative attractiveness and religiosity variables have a positive effect on switching intentions. In contrast, the subjective norm variable does not affect switching intentions. Therefore, customer satisfaction, the attractiveness of alternatives and religiosity are essential points to cause someone to have the intention to switch.Practical implicationsFor stakeholders, especially the government or the Islamic banking industry, to improve the climate of the Islamic finance industry in Indonesia, in particular, to increase knowledge and insight from the public regarding the intention to switch conventional bank customers to Islamic banks.Originality/valueThe use of the religiosity variable as an independent variable on switching intentions is still rarely done. Hence, the authors combine this variable with customer satisfaction, alternative attractiveness and subjective norms. The update in this study also places conventional bank customers included in the millennial generation and generation Z categories who live in the province of West Java as research subjects.

Pain and subjective well-being among older adults in the developing world : A comprehensive assessment based on the WHO Study on Global Ageing and Adult Health

This paper studies the association of pain with subjective well-being (SWB) and time use among older adults in five low- and middle-income countries using data from the first wave of the WHO Study on Global Ageing and Adult Health. We suggest a novel use of anchoring vignettes as direct control functions to account for potentially correlated reporting behaviors such as correlated response scales when analyzing the relationship between subjective variables such as self-reported pain and SWB. Exploiting detailed data on individual time use and several complementary measures of SWB, including fine-grained activity-specific affective experiences derived from an abbreviated version of the Day Reconstruction Method, we find that both evaluative and experienced well-being are markedly lower for people living with pain compared to those without pain. These disparities persist even after controlling for possible confounding from reporting behaviors through the use of anchoring vignettes. Differences in experienced utility by pain status appear to be exclusively due to worse affective experiences during daily activities for those with pain, which seem to be partially mediated through changes in their functional limitations. Pain-related differences in time use, in turn, seem to provide only small compensating effects, underscoring important challenges to the use of changed activity patterns as a viable coping strategy for individuals enduring pain.

Inter-individual variability of aerobic capacity after rehabilitation exercise training in children with severe burn injury

IntroductionSevere burn trauma damages resting and exercise cardiac function that may affect long term cardiovascular health. The implementation of rehabilitation exercise training (RET) soon after hospital discharge improves cardiorespiratory fitness; however, it does not fully restore aerobic capacity and presents large inter-individual variability. We tested the hypothesis that the inter-individual variability of aerobic capacity for responders (R) compared to nonresponders (NR) would differ for exercise frequency and intensity. MethodsThirty-three children (11 female, [mean±SD] 12 ± 3 years, 145 ± 18 cm, 40 ± 11 kg, 49 ± 31 BMI percentile) with severe burns (49 ± 15 % total body surface area burned, with 35 ± 22 % third-degree burns) completed a 6-week RET program. Cardiorespiratory fitness (peak VO2) was measured before and after RET. Frequency (session days/week), intensity (% peak heart rate), time (min/session), and volume (min/week) were compared between responders and non-responders. Significance was set at p < 0.05. ResultsSixty-four percent of the study population improved peak VO2 after RET whereas 36 % showed no improvements. Using a 2-way factorial ANOVA (group [G] × week [WK]), we found that exercise frequency and session time were similar and increased slightly over 6 weeks between R and NR (main effect for WK; P < 0.002). Exercise volume was significantly lower on week 2 for NR compared to R (G × WK interaction, P < 0.028). Exercise intensity over 6-weeks was significantly lower in the NR compared to the R group (G × WK interaction, P < 0.022). ConclusionsExercise intensity and volume may be important contributors for improving the interindividual response to exercise training for peak VO2. These data suggest that the appropriate dose-response requirement for exercise intensity may be > 80 % peak heart rate and exercise volume of > 150 min per week. Further understanding of the exercise prescription will provide insights important for cardiovascular rehabilitation in children with severe burns. Subject codeInter-individual Variability, Exercise, Pediatrics, Exercise Training

An LSTM-based adversarial variational autoencoder framework for self-supervised neural decoding of behavioral choices

Objective.This paper presents data-driven solutions to address two challenges in the problem of linking neural data and behavior: (1) unsupervised analysis of behavioral data and automatic label generation from behavioral observations, and (2) extraction of subject-invariant features for the development of generalized neural decoding models. Approach. For behavioral analysis and label generation, an unsupervised method, which employs an autoencoder to transform behavioral data into a cluster-friendly feature space is presented. The model iteratively refines the assigned clusters with soft clustering assignment loss, and gradually improves the learned feature representations. To address subject variability in decoding neural activity, adversarial learning in combination with a long short-term memory-based adversarial variational autoencoder (LSTM-AVAE) model is employed. By using an adversary network to constrain the latent representations, the model captures shared information among subjects’ neural activity, making it proper for cross-subject transfer learning. Main results. The proposed approach is evaluated using cortical recordings of Thy1-GCaMP6s transgenic mice obtained via widefield calcium imaging during a motivational licking behavioral experiment. The results show that the proposed model achieves an accuracy of 89.7% in cross-subject neural decoding, outperforming other well-known autoencoder-based feature learning models. These findings suggest that incorporating an adversary network eliminates subject dependency in representations, leading to improved cross-subject transfer learning performance, while also demonstrating the effectiveness of LSTM-based models in capturing the temporal dependencies within neural data. Significance. Results demonstrate the feasibility of the proposed framework in unsupervised clustering and label generation of behavioral data, as well as achieving high accuracy in cross-subject neural decoding, indicating its potentials for relating neural activity to behavior.

Recovery of Full Hyperextension After Anterior Cruciate Ligament Reconstruction Is Associated With Better Functional Outcomes but Greater Anterior Cruciate Ligament–Related Laxity After a Minimum 24-Month Follow-Up

PurposeEvaluate patients submitted to anterior cruciate ligament (ACL) reconstruction with preoperative hyperextension and compare physical examination (KT-1000 and pivot shift) and patient reported outcomes measures of patients who recovered the entire hyperextension with patients who did not. MethodsPatients aged 18 to 60 years with more than 5 degrees of knee hyperextension submitted to anatomical ACL reconstruction with any graft from June 2013 to June 2021 and at least 24 months of follow-up were evaluated retrospectively. Hamstrings and patellar tendon grafts were fixed around 20 to 30 degrees of flexion and in full extension, respectively. Patients who could recover hyperextension were compared with patients who did not. Pre-operative, intra-operative and post-operative data, including physical examination and patient reported outcomes measures, was evaluated. ResultsA total of 225 patients were evaluated, 48 (21.3%) did not recover hyperextension, and 177 recovered full range of motion. Patients who did not recover hyperextension had a larger graft diameter (8.7 ± 0.7mm (confidence interval 8.502-8.898) vs. 8.3 ± 0.7mm (confidence interval 8.197-8.403); p = 0.018). Regarding the postoperative subjective variables, patients who recovered hyperextension showed improvement on all scales (IKDC, Lysholm, FJS, and GPE) evaluated compared to patients who did not recover the range of motion. Patients who recovered hyperextension also showed more laxity on physical examination, measured by the KT-1000 (1.8 ± 0.8 vs. 1.1 ± 1.0; p= 0.0006) and the pivot-shift (Grade 0 – 62.1%;Grade 1 – 37.9% vs. Grade 0 – 79.2%;Grade 1 – 20.8%; p=0.027). ConclusionPatients with knee hyperextension who regained range of motion after ACL reconstruction have worse knee laxity than patients who regained full extension but not hyperextension. However, patients who recover full range of motion showed higher scores on subjective function scales, including a greater number of patients who achieved PASS IKDC.

The impact of soccer-specific psychophysiological stress on inhibition and cognitive flexibility in elite youth players

While researchers and practitioners attribute an essential role to executive functions (EFs) for soccer performance, the usefulness of respective diagnostics and the predictive value remain unclear. One limitation restricting the translation and relevance of study results to improve actual game performance is the insufficient consideration of competitive conditions. Thus, this study aimed to conduct soccer-specific cognitive diagnostics under a soccer-specific psychophysiological stress condition, mimicing the demands of a competitive game. A total of 92 (Mage = 15.17, SDage = 1.45) youth elite players performed tests for inhibition (flanker task) or cognitive flexibility (number-letter task) with a soccer-specific motor response (i.e., pass into goals). After a pre-test in a neutral condition, players were randomly assigned to a neutral (moderate soccer-specific exercise) or a stress condition (physical stress and competitive instructions and filming for psychological stress). Objective (i.e., cortisol, heart rate variability) and subjective stress-related measures (i.e., SAM, VAS) were assessed six times throughout experimental procedure. Analyses revealed significant interaction effects between time and condition for all objective and subjective variables indicating a successful experimental stress induction. For cognitive performance, results revealed significant main effects of time, but no significant interaction effects between time and condition. However, descriptive statistics suggested improved performance under stress, with decreased flanker effect and switch costs. Additionally, response time variability in the flanker task significantly decreased in the stress condition. These findings offer insights into individual stress perception and processing under game-related psychophysiological demands, expanding previous research on situational EF alterations that also hold relevance for applied practitioners.

Blood Pressure Variability is Better Associated with Acute Relative Hyperglycemia Than the Heart Rate Variability in Healthy Young Adults.

Deranged cardiovascular autonomic functions are well-reported complications of diabetes mellitus, where chronic hyperglycemia is an important factor. The role of acute relative hyperglycemia on cardiovascular autonomic functions, particularly on blood pressure variability in healthy subjects, has been rarely explored. Therefore, this study aimed to examine the effect of acute relative hyperglycemia on cardiovascular autonomic functions in healthy young adults. Beat-to-beat blood pressure and electrocardiogram were recorded to assess the heart rate variability and blood pressure variability in 42 young, healthy subjects during fasting and relative hyperglycemic states. Recorded cardiovascular parameters were analyzed in time and frequency domains. Correlations among analyzed parameters of cardiovascular autonomic variabilities were explored during fasting and relative hyperglycemic state. A few of the systolic, mean, and diastolic blood-pressure-variability parameters were significantly altered during acute relative hyperglycemia when compared to the fasting state. However, no significant changes were observed in any of the heart-rate-variability parameters. Also, novel significant correlations were found among many of the parameters of cardiovascular autonomic variabilities during fasting and relative hyperglycemic states. The blood pressure variability is affected significantly during acute relative hyperglycemia in healthy young adults; however, the heart rate variability does not show such changes. Also, many blood pressure variability parameters show significant correlations with heart rate variability and baroreflex sensitivity. It may be hypothesized that although the variabilities in heart rate and blood pressure assess cardiovascular autonomic functions, blood pressure variability is a better indicator of cardiovascular autonomic effects of acute relative hyperglycemia.

Exploring Subjective Attitudes Towards Public Transport of Intercity Travel and Their Relationships

With the continuous development of urban agglomerations, higher demands are placed on intercity public transport travel services. To improve these services, it is necessary to comprehensively understand the views and evaluations of travelers. Taking the Guanzhong Plain urban agglomeration in China as the object, this study explores subjective attitude indicators from self-administrated survey data and examines the relationship among perceived accessibility, preference, and satisfaction for intercity public transport using a structural equation model. The results show that perceived service quality has a direct positive impact on perceived accessibility and satisfaction. Perceived accessibility and preference significantly affect satisfaction. In addition, perceived accessibility mediates the effect of service quality on satisfaction. This study provides valuable insights from a policy perspective to improve the subjective evaluation of intercity public transport travelers while emphasizing the importance of subjective variables in transport system evaluation and advocates for their subdivision to more comprehensively improve travel experience.

Multipanel Approach including miRNAs, Inflammatory Markers, and Depressive Symptoms for Metabolic Dysfunction-Associated Steatotic Liver Disease Diagnosis during 2-Year Nutritional Intervention.

Metabolic dysfunction-associated steatotic liver disease (MASLD), with a prevalence of 30% of adults globally, is considered a multifactorial disease. There is a lack of effective non-invasive methods for accurate diagnosis and monitoring. Therefore, this study aimed to explore associations between changes in circulating miRNA levels, inflammatory markers, and depressive symptoms with hepatic variables in MASLD subjects and their combined potential to predict the disease after following a dietary intervention. Biochemical markers, body composition, circulating miRNAs and hepatic and psychological status of 55 subjects with MASLD with obesity and overweight from the FLiO study were evaluated by undergoing a 6-, 12- and 24-month nutritional intervention. The highest accuracy values of combined panels to predict the disease were identified after 24 months. A combination panel that included changes in liver stiffness, high-density lipoprotein cholesterol (HDL-c), body mass index (BMI), depressive symptoms, and triglycerides (TG) yielded an AUC of 0.90. Another panel that included changes in hepatic fat content, total cholesterol (TC), miR15b-3p, TG, and depressive symptoms revealed an AUC of 0.89. These findings identify non-invasive biomarker panels including circulating miRNAs, inflammatory markers, depressive symptoms and other metabolic variables for predicting MASLD presence and emphasize the importance of precision nutrition in MASLD management and the sustained adherence to healthy lifestyle patterns.

Exploiting ChatGPT for Diagnosing Autism-Associated Language Disorders and Identifying Distinct Features.

Diagnosing language disorders associated with autism is a complex and nuanced challenge, often hindered by the subjective nature and variability of traditional assessment methods. Traditional diagnostic methods not only require intensive human effort but also often result in delayed interventions due to their lack of speed and specificity. In this study, we explored the application of ChatGPT, a state-of-the-art large language model, to overcome these obstacles by enhancing diagnostic accuracy and profiling specific linguistic features indicative of autism. Leveraging ChatGPT's advanced natural language processing capabilities, this research aims to streamline and refine the diagnostic process. Specifically, we compared ChatGPT's performance with that of conventional supervised learning models, including BERT, a model acclaimed for its effectiveness in various natural language processing tasks. We showed that ChatGPT substantially outperformed these models, achieving over 13% improvement in both accuracy and F1-score in a zero-shot learning configuration. This marked enhancement highlights the model's potential as a superior tool for neurological diagnostics. Additionally, we identified ten distinct features of autism-associated language disorders that vary significantly across different experimental scenarios. These features, which included echolalia, pronoun reversal, and atypical language usage, were crucial for accurately diagnosing ASD and customizing treatment plans. Together, our findings advocate for adopting sophisticated AI tools like ChatGPT in clinical settings to assess and diagnose developmental disorders. Our approach not only promises greater diagnostic precision but also aligns with the goals of personalized medicine, potentially transforming the evaluation landscape for autism and similar neurological conditions.

Associations between subjective social status and predictors of interest in genetic testing among women diagnosed with breast cancer at a young age.

Genetic testing for gene mutations which elevate risk for breast cancer is particularly important for women diagnosed at a young age. Differences remain in access and utilization to testing across social groups, and research on the predictors of interest in genetic testing for women diagnosed at a young age is limited. We examined the relationships between subjective social status (SSS) and variables previously identified as possible predictors of genetic testing, including genome sequencing knowledge, genetic worry, cancer worry, health consciousness, decision-making preferences, genetic self-efficacy, genetic-related beliefs, and subjective numeracy, among a cohort of women who were diagnosed with breast cancer at a young age. In this sample (n = 1,076), those who had higher SSS had significantly higher knowledge about the limitations of genome sequencing (Odds Ratio (OR) = 1.11; 95% CI = 1.01-1.21) and significantly higher informational norms (OR = 1.93; 95% CI = 1.19-3.14) than those with lower SSS. Similarly, education (OR = 2.75; 95% CI = 1.79-4.22), health status (OR = 2.18; 95% CI = 1.44-3.31) were significant predictors among higher SSS women compared to lower SSS women in our multivariate analysis. Lower SSS women with low self-reported income (OR = 0.13; 95% CI = 0.08-0.20) had lower odds of genetic testing interest. Our results are consistent with some prior research utilizing proxy indicators for socioeconomic status, but our research adds the importance of using a multidimensional indicator such as SSS to examine cancer and genetic testing predictor outcomes. To develop interventions to improve genetic knowledge, researchers should consider the social status and contexts of women diagnosed with breast cancer at a young age (or before 40 years old) to ensure equity in the distribution of genetic testing benefits.

EGCG’s effects on Mean Arterial Pressure and Heart Rate Variability and Their Correlations with Metabolic and Hormonal Profiles in Obese Subjects

This study aimed to investigate the effects of epigallocatechin gallate (EGCG), a potent polyphenol found in green tea, on mean arterial pressure (MAP) and heart rate variability (HRV) in obese subjects along with their associations with metabolic factors. We hypothesized that EGCG treatment could significantly reduce MAP and sympathetic tone, represented by decreased low-frequency power (LF) and LF-to-high frequency power (HF) ratio. Furthermore, we expected that systolic blood pressure (SBP), diastolic blood pressure (DBP), and MAP would be positively correlated with obesity parameters, LF, and LF-to-HF ratio. This study is a double-blind, randomized controlled trial. Thai obese subjects with a body mass index (BMI) ≥ 25 kg/m2 (criteria for an Asian population) were randomly allocated into EGCG and placebo groups and received a capsule of 150 mg of EGCG or starch, respectively, twice a day without any dietary restrictions. Clinical and anthropometric data, as well as spontaneous 5-minute HRV measurements in both time and frequency domains, were assessed at baseline (week 0), week 4, and week 8. Additionally, 8-hour fasting blood samples were collected at weeks 0 and 8 to measure metabolic and hormonal levels. EGCG treatment for 8 weeks significantly reduced MAP compared to week 0 and week 4 (P &lt; 0.05 for all). In the EGCG treatment group, there was a significant increase in the LF-to-HF ratio and a nonsignificant decrease in HF at week 8 compared to week 0. LF showed a trend toward increasing in week 8 of EGCG treatment compared to week 4. For correlation analysis at week 0, SBP had significant positive correlations with BMI, percent fat, fat mass, serum leptin and insulin levels, and the homeostatic model assessment for insulin resistance (HOMA-IR) (R = 0.468-0.593, p&lt;0.05 for all) but had negative correlations with the quantitative insulin sensitivity check index (QUICKI) and HDL-cholesterol (R = (-0.437)-(-0.468), P &lt;0.05 for all). DBP was positively correlated with age and HF in normal units (nu) (R = 0.412-0.568, p&lt;0.05 for all), but was negatively correlated with height, HDL-cholesterol, LF in ms (R = (-0.379)-(-0.509), P &lt;0.05 for all). MAP showed significant positive correlations with age, BMI, percent fat, fat mass, serum leptin levels, and HOMA-IR (R = 0.370-0.459, P &lt; 0.05 for all), but had a negative correlation with HDL-cholesterol (R = -0.522, P = 0.004). EGCG treatment over an 8-week duration reduced MAP, a pivotal component of overall blood pressure in obese individuals, and exhibited a significant increase in the LF/HF ratio, tending toward an increase in LF and a non-significant decrease in HF. We postulate that the decrease in MAP may be attributed to EGCG's direct or indirect vasodilatory effects, potentially through the stimulation of nitric oxide production, reduced oxidative stress, and/or decreased levels of kisspeptin, a vasoconstrictive substance, as reported by previous studies. An increase in the LF/HF ratio could reflect a shift toward sympathetic nervous system dominance (LF) and/or a decrease in parasympathetic nervous system activity (HF) indicating a compensatory response to the reduced blood pressure post-vasodilation. HDL cholesterol showed negative correlations with SBP, DBP, and MAP, reflecting its protective benefit against high blood pressure. In summary, 8 weeks of EGCG treatment resulted in a significant decrease in MAP and an increase in the LF/HF ratio, reflecting EGCG’s primary vasodilatory effects and a compensatory increase in sympathetic nervous system activity. The research was funded by the Faculty of Medicine Siriraj Hospital Research Fund ((IO) R015932003, R0159333013 and R016132012). This is the full abstract presented at the American Physiology Summit 2024 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

공무원 심리상담 분야의 연구 동향

This study examines research trends in the field of psychological counseling for civil servants in Korea and summarizes related research results to suggest directions for future theory establishment and field practice. The subject of analysis was 107 papers published in domestic academic journals from 2015 to December 2023. Data analysis was conducted using descriptive statistics according to the analysis criteria of publication year, research subject, research method, research topic, and related variables. As a research results: First, public servant psychological counseling research papers are showing an increasing trend, starting with 6 papers in 2015 and with 20 papers in 2023, and the research subjects were civil servants in specific positions at 56%, followed by general civil servants at 42.1%. Second, quantitative research accounted for 71% of the research methods and was used as the main research method, and the research topics appeared in the following: career and occupation, personality and adaptation. Based on these results, implications were presented on the direction of development of psychological counseling research for civil servants.

Factors associated with the fragmentation and stability of the rest-activity rhythm in adults and older adults

ABSTRACT This cross-sectional study aimed to identify factors related to the fragmentation and stability of the rest-activity rhythm (RAR) in adults and older adults. It is part of a larger research project investigating aspects concerning sleep duration, quality, and disorders in a representative subsample of the population. Sociodemographic data, lifestyle, health habits and subjective sleep variables were obtained; RAR records were collected by means of actigraphy and analyzed using non-parametric variables (IS, IV, M10, L5, RA, sL5, and sM10). Study participants were 313 individuals with complete actigraphy records. There was a prevalence of older adults (50.2%) and females (51.1%). Females, individuals with 4–8 y of education, and those who used alcohol abusively exhibited lower RAR fragmentation. Higher fragmentation was observed in individuals who napped and those reporting poor sleep quality. Greater rhythm stability was evident in females, older adults, those with 4–8 y of education, and those who had a partner. Smokers demonstrated lower RAR stability. These findings may contribute valuable insights for decision-making aimed at preventing and treating issues related to fragmentation and instability of the rhythm and its possible consequences to health.

The development, validation, and application of the campus walk score measurement system

Improving campus walkability can encourage students to walk and may inhibit the development of sedentary lifestyle habits, obesity, diabetes, and other health issues. This study aimed to formulate an optimized campus Walk Score (WS) measurement system that combines students' weekly demand for the use of facilities and unique campus environments. Bivariate correlation analysis and regression models were used to verify this system. The verified system was further applied to assess campus walkability and its influencing factors. The facility weight and walking time were established through questionnaires distributed on eight campuses in Tianjin, China. GIS and field audits were utilized to collect data on the objective built environment (BE), subjective environmental quality variables, and pedestrian volume (PV). Pearson's correlation analysis and Negative binomial regression models without spatial autocorrelation were used to verify the campus WS measurement system. The significant relationships between BE features and overall WS were found. PV was significantly correlated with overall WS and classified WSs. These findings were all found in the overall and three types of campuses. Therefore, our optimized system can be verified. Additionally, the WS was closely associated with facility distribution, planning mode, and other spatial attributes. Based on our results, how our findings can be utilized to promote campus walkability was proposed.

A novel simulated media system for in vitro evaluation of bioequivalent intestinal drug solubility

Orally administered solid drug must dissolve in the gastrointestinal tract before absorption to provide a systemic response. Intestinal solubility is therefore crucial but difficult to measure since human intestinal fluid (HIF) is challenging to obtain, varies between fasted (Fa) and fed (Fe) states and exhibits inter and intra subject variability. A single simulated intestinal fluid (SIF) cannot reflect HIF variability, therefore current approaches are not optimal. In this study we have compared literature Fa/FeHIF drug solubilities to values measured in a novel in vitro simulated nine media system for either the fasted (Fa9SIF) or fed (Fe9SIF) state. The manuscript contains 129 literature sampled human intestinal fluid equilibrium solubility values and 387 simulated intestinal fluid equilibrium solubility values. Statistical comparison does not detect a difference (Fa/Fe9SIF vs Fa/FeHIF), a novel solubility correlation window enclosed 95% of an additional literature Fa/FeHIF data set and solubility behaviour is consistent with previous physicochemical studies. The Fa/Fe9SIF system therefore represents a novel in vitro methodology for bioequivalent intestinal solubility determination. Combined with intestinal permeability this provides an improved, population based, biopharmaceutical assessment that guides formulation development and indicates the presence of food based solubility effects. This transforms predictive ability during drug discovery and development and may represent a methodology applicable to other multicomponent fluids where no single component is responsible for performance.