In order to investigate whether the effect of Yuxuebi Tablets on the peripheral and central inflammation resolution of mice with inflammatory pain is related to their regulation of G protein-coupled receptor 37(GPR37), an inflammatory pain model was established by injecting complete Freund's adjuvant(CFA) into the paws of mice, with a sham-operated group receiving a similar volume of normal saline. The mice were assigned randomly to the sham-operated group, model group, ibuprofen group(91 mg·kg~(-1)), and low-, medium-, and high-dose groups of Yuxuebi Tablets(60, 120, and 240 mg·kg~(-1)). The drug was administered orally from days 1 to 19 after modeling. Von Frey method and the hot plate test were used to detect mechanical pain thresholds and heat hyperalgesia. The levels of interleukin-10(IL-10) and transforming growth factor-beta(TGF-β) in the spinal cord were quantified using enzyme-linked immunosorbent assay(ELISA), and the mRNA and protein expression of GPR37 in the spinal cord was measured by real-time quantitative reverse transcription PCR(qRT-PCR) and Western blot. Additionally, immunofluorescence was used to detect the expression of macrosialin antigen(CD68), mannose receptor(MRC1 or CD206), and GPR37 in dorsal root ganglia, as well as the expression of calcium-binding adapter molecule 1(IBA1), CD206, and GPR37 in the dorsal horn of the spinal cord. The results showed that compared with those of the sham-operated group, the mechanical pain thresholds and hot withdrawal latency of the model group significantly declined, and the expression of CD68 in the dorsal root ganglia and the expression of IBA1 in the dorsal horn of the spinal cord significantly increased. The expression of CD206 and GPR37 significantly decreased in the dorsal root ganglion and dorsal horn of the spinal cord, and IL-10 and TGF-β levels in the spinal cord were significantly decreased. Compared with those of the model group, the mechanical pain thresholds and hot withdrawal latency of the high-dose group of Yuxuebi Tablets significantly increased, and the expression of CD68 in the dorsal root ganglion and IBA1 in the dorsal horn of the spinal cord significantly decreased. The expression of CD206 and GPR37 in the dorsal root ganglion and dorsal horn of the spinal cord significantly increased, as well as IL-10 and TGF-β levels in the spinal cord. These findings indicated that Yuxuebi Tablets may reduce macrophage(microglial) infiltration and foster M2 macrophage polarization by enhancing GPR37 expression in the dorsal root ganglia and dorsal horn of the spinal cord of CFA-induced mice, so as to improve IL-10 and TGF-β levels, promote resolution of both peripheral and central inflammation, and play analgesic effects.
Inflammation/genetics* ; Pain/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Mice ; Freund's Adjuvant/pharmacology* ; Ibuprofen ; Pain Threshold/drug effects* ; Hyperalgesia/genetics* ; Ganglia, Spinal ; Interleukin-10/genetics* ; Transforming Growth Factor beta/genetics* ; Reverse Transcriptase Polymerase Chain Reaction ; Tablets ; Receptors, G-Protein-Coupled

INTRODUCTION

Mental health plays a crucial role in overall well-being, yet stigma and misconceptions persist, even among future healthcare professionals. This study assessed medical students’ knowledge, attitudes, and perceptions (KAP) regarding mental health and explored their association with sociodemographic characteristics.

METHODS

We conducted an analytical cross-sectional study among 270 medical students at a private Philippine university from September to October 2023. Participants completed a validated questionnaire. Descriptive statistics, Spearman’s correlation, and odds ratios were calculated.

RESULTS

Most respondents exhibited high knowledge (80.7%), positive attitudes (90.4%), and favorable perceptions (95.6%) toward mental health. Students who had not interacted with individuals with mental illness were 2.87 times more likely to display negative attitudes (OR = 2.87, 95% CI: 1.19–6.90, p = 0.015). Attitude and perception showed a moderate positive correlation (r = 0.409, p < 0.001), while knowledge and perception demonstrated a weak negative correlation (r = -0.129, p = 0.034).

CONCLUSION

These medical students generally possessed good knowledge, positive attitudes, and perceptions regarding mental health. Academic progression and real-life exposure positively influence attitudes, highlighting the need for experiential learning to reduce stigma and promote empathy in medical training.

Human ; Mental Health ; Knowledge ; Attitude ; Perception ; Philippines

INTRODUCTION: The COVID-19 pandemic has changed care provision models, with a rapid increase in the adoption of telemedicine to reduce in-person visits. Although there are many benefits to teledermatology, there are also factors that hinder its widespread adoption. We aimed to examine patients' perceptions of teledermatology to identify the barriers to its adoption. METHODS: A prospective study was conducted from 15 June to 14 August 2020. Patients were invited to complete a questionnaire in an outpatient dermatology clinic via direct approach by clinical staff or posters posted at the door of consultation rooms. RESULTS: Out of 2,276 clinic attendances, 997 survey responses (43.8%) were collected over a 3-month period. When asked if they would change their subsequent visit to teledermatology, 294 (29.5%) patients were keen, 166 (16.6%) were unsure and 537 (53.9%) declined. Significant factors for declining teledermatology were lack of prior exposure to videoconferencing ( P < 0.01) and lower educational level ( P = 0.019). Patients also raised concerns regarding the ability of teledermatology to address medical concerns (32.1%) and indicated a preference for face-to-face consultation (29.7%). CONCLUSION Factors that influence patients' decision to adopt teledermatology, such as concerns about its ability to address medical issues, lack of IT literacy or experience in teleconferencing, are modifiable. Targeted strategies such as careful patient selection, a dedicated teleconsultation workflow, and the use of a novel 'teledermatology patient journey' (including a clinic walkthrough at the first visit) and an intuitive audio-enabled user interface, may improve patient perceptions and adoption of teleconsultation service.
Humans ; COVID-19/epidemiology* ; Dermatology/methods* ; Telemedicine ; Male ; Female ; Prospective Studies ; Middle Aged ; Adult ; Surveys and Questionnaires ; SARS-CoV-2 ; Aged ; Perception ; Young Adult ; Pandemics ; Skin Diseases/diagnosis* ; Videoconferencing

INTRODUCTION: The survival rate for childhood cancer has increased with advances in medical care. Along with this comes the growing burden of long-term side effects of cancer treatment and cancer survivorship. Childhood cancer survivors are more likely to be sedentary and have a lower quality of life. Physical activity (PA) can promote health and well-being in childhood cancer survivors, but few studies have explored the role of parents of childhood cancer survivors (PCCS) in promoting PA. This qualitative study aims to explore the perceptions of PCCS in Singapore and the role they may have with regard to PA. METHODS: Participants were recruited through a local charity via email, social media and posters. One-hour semi-structured interviews were conducted online with seven parents. With consent, the interviews were recorded, transcribed verbatim and analysed using thematic analysis. RESULTS: Our study discussed thematically parents' accounts on (1) the barriers and enablers of PA and (2) the complications of cancer that potentially affect the levels of PA in childhood cancer survivors. Parents reported that childhood cancer negatively affects the quality of life and participation in PA. The determinants of participation in PA were multifaceted, and socioecological and health belief models were used to demonstrate how these factors were interlinked. CONCLUSION Participation in PA is influenced at an individual, family, community and societal level. The improved understanding facilitated by this research can be used to shape paediatric cancer care practices in Singapore and guide institutional or national policy interventions.
Humans ; Singapore ; Parents/psychology* ; Cancer Survivors/psychology* ; Qualitative Research ; Female ; Male ; Quality of Life ; Exercise ; Child ; Adult ; Neoplasms ; Adolescent ; Perception ; Middle Aged ; Interviews as Topic

OBJECTIVE: Acupuncture has demonstrated efficacy as a treatment for fibromyalgia; however, predictors of short- and long-term analgesic response in this population are not well understood. METHODS: This manuscript describes a secondary analysis of a single-center, blinded, sham-controlled, randomized longitudinal acupuncture clinical trial in fibromyalgia. Baseline characterization included pressure pain threshold and pain interference, while residualized change in pain intensity from baseline to follow-up served as the primary outcome measure. Participants were randomized into groups that received verum (n = 36) or sham (n = 29) acupuncture treatment over a 12-week period (18 treatments) and were followed for 37 weeks from the initiation of treatment. RESULTS: Lower pressure pain thresholds at baseline were associated with greater analgesia only in the sham treatment group immediately following treatment, while those with higher pressure pain thresholds had greater analgesia with verum treatment (B = -13.43, P = 0.001). Additionally, greater perceived impact of pain at baseline was predictive of greater short-term analgesia irrespective of treatment. Pressure pain threshold was not found to be predictive of long-term differential treatment response (B = -1.71, P = 0.66). There was a significant difference in the relationship between perceived impact of pain at baseline and subsequent long-term analgesia between groups where those with greater perceived impact of pain displayed improved long-term analgesia for verum acupuncture compared to the sham group (B = -11.37, P = 0.004). CONCLUSION Our results support the use of a self-reported pain outcome in predicting long-term analgesia following acupuncture in fibromyalgia. Please cite this article as: Murphy AE, Arewasikporn A, Taylor-Swanson L, Williams DA, Harris RE. Pressure pain threshold and perceived impact of pain differentially predict short-term and long-term pain reduction following acupuncture in fibromyalgia. J Integr Med. 2025; 23(2): 152-158.
Adult ; Female ; Humans ; Male ; Middle Aged ; Acupuncture Therapy ; Fibromyalgia/therapy* ; Pain Management/methods* ; Pain Measurement/statistics & numerical data* ; Pain Threshold/physiology* ; Pressure ; Treatment Outcome ; Longitudinal Studies

Practice-based learning is the key objective of postgraduate education. COVID-19 has revealed that medical institutions may need to adopt adaptive strategies to guide their students. The aim of this study is to describe the perception of Philippine medical clerks towards their surgical preparedness with an Enriched Virtual Mode (EVM)-Hybrid Learning during the pandemic. A cross-sectional survey was conducted among 176 fourth-year students using a 21-item 4-point-Likert questionnaire. Descriptive analysis showed that students sustained a strong enthusiasm for surgery (composite mean = 2.83 ± 0.62), with the highest ratings given to skill-oriented subjects, such as practical minors (3.05 ± 0.82) and clinical surgery (3.03 ± 0.78). Preparedness was similarly high (3.17 ± 0.46): practice was regarded as essential (3.50 ± 0.68) and operating-room exposure useful (3.22 ± 0.68), though time for hands-on practice was adequate (2.84 ± 0.74). Preference scores revealed a desire for richer tactile experience (3.36 ± 0.37), with scrubbing, suturing and live surgery observation receiving most support (>3.50). Overall satisfaction reached a moderate-to-high level (2.99 ± 0.48) but lagged behind interest and preparedness, indicating that limited physical immersion tempered fuller contentment. These suggest that while a blended curriculum can preserve enthusiasm and sense of readiness, emphasis on protected skills laboratories and increased exposure to the operating room may be needed to translate conceptual competence into experiential fulfillment.

Human ; Male ; Female ; Young Adult: 19-24 Yrs Old ; Cross-sectional Studies ; Education ; Curriculum ; Perception ; Observation ; Schools, Medical ; Personal Satisfaction ; Learning ; Mental Competency ; Laboratories ; Pandemics

METHODOLOGY

A survey was conducted among 463 adults in Manila, achieving a valid response rate of 92.3% (427 responses analyzed). Participants represented diverse socioeconomic backgrounds. The survey explored perceptions regarding AAA of healthcare services for neurological emergencies.

RESULTS

Across income levels (poor, middle, rich), participants favored private hospitals for accessibility and convenience, such as emergency room access and prompt care. Private hospitals were also preferred for availability of diagnostic equipment, medications, specialist expertise and 24/7 care. Public hospitals, however, were preferred for affordability, particularly for emergency visits, medications, tests, neurologist consultations and ambulance services.

DISCUSSION

Findings reveal a clear preference split: private hospitals are valued for accessibility and resources, while public hospitals remain the affordable choice. This reflects ongoing systemic and socioeconomic challenges in Manila’s healthcare landscape.

CONCLUSION

The study provides actionable insights for policymakers and healthcare providers seeking to improve emergency neurological care. Addressing gaps in access and affordability can enhance patient outcomes and satisfaction while promoting more equitable healthcare delivery.

Human ; Male ; Female ; Adolescent: 13-18 Yrs Old ; Young Adult: 19-24 Yrs Old ; Adult: 25-44 Yrs Old ; Middle Aged: 45-64 Yrs Old ; Adult ; Emergencies ; Perception

The processing mechanism of the human brain for speech information is a significant source of inspiration for the study of speech enhancement technology. Attention and lateral inhibition are key mechanisms in auditory information processing that can selectively enhance specific information. Building on this, the study introduces a dual-branch U-Net that integrates lateral inhibition and feedback-driven attention mechanisms. Noisy speech signals input into the first branch of the U-Net led to the selective feedback of time-frequency units with high confidence. The generated activation layer gradients, in conjunction with the lateral inhibition mechanism, were utilized to calculate attention maps. These maps were then concatenated to the second branch of the U-Net, directing the network's focus and achieving selective enhancement of auditory speech signals. The evaluation of the speech enhancement effect was conducted by utilising five metrics, including perceptual evaluation of speech quality. This method was compared horizontally with five other methods: Wiener, SEGAN, PHASEN, Demucs and GRN. The experimental results demonstrated that the proposed method improved speech signal enhancement capabilities in various noise scenarios by 18% to 21% compared to the baseline network across multiple performance metrics. This improvement was particularly notable in low signal-to-noise ratio conditions, where the proposed method exhibited a significant performance advantage over other methods. The speech enhancement technique based on lateral inhibition and feedback-driven attention mechanisms holds significant potential in auditory speech enhancement, making it suitable for clinical practices related to artificial cochleae and hearing aids.
Humans ; Attention/physiology* ; Speech Perception/physiology* ; Neural Networks, Computer ; Speech ; Noise ; Feedback

Emotion can reflect the psychological and physiological health of human beings, and the main expression of human emotion is voice and facial expression. How to extract and effectively integrate the two modes of emotion information is one of the main challenges faced by emotion recognition. In this paper, a multi-branch bidirectional multi-scale time perception model is proposed, which can detect the forward and reverse speech Mel-frequency spectrum coefficients in the time dimension. At the same time, the model uses causal convolution to obtain temporal correlation information between different scale features, and assigns attention maps to them according to the information, so as to obtain multi-scale fusion of speech emotion features. Secondly, this paper proposes a two-modal feature dynamic fusion algorithm, which combines the advantages of AlexNet and uses overlapping maximum pooling layers to obtain richer fusion features from different modal feature mosaic matrices. Experimental results show that the accuracy of the multi-branch bidirectional multi-scale time sensing dual-modal emotion recognition model proposed in this paper reaches 97.67% and 90.14% respectively on the two public audio and video emotion data sets, which is superior to other common methods, indicating that the proposed emotion recognition model can effectively capture emotion feature information and improve the accuracy of emotion recognition.
Humans ; Emotions ; Algorithms ; Facial Expression ; Time Perception ; Neural Networks, Computer ; Speech

Current studies on electroencephalogram (EEG) emotion recognition primarily concentrate on discrete stimulus paradigms under controlled laboratory settings, which cannot adequately represent the dynamic transition characteristics of emotional states during multi-context interactions. To address this issue, this paper proposes a novel method for emotion transition recognition that leverages a cross-modal feature fusion and global perception network (CFGPN). Firstly, an experimental paradigm encompassing six types of emotion transition scenarios was designed, and EEG and eye movement data were simultaneously collected from 20 participants, each annotated with dynamic continuous emotion labels. Subsequently, deep canonical correlation analysis integrated with a cross-modal attention mechanism was employed to fuse features from EEG and eye movement signals, resulting in multimodal feature vectors enriched with highly discriminative emotional information. These vectors are then input into a parallel hybrid architecture that combines convolutional neural networks (CNNs) and Transformers. The CNN is employed to capture local time-series features, whereas the Transformer leverages its robust global perception capabilities to effectively model long-range temporal dependencies, enabling accurate dynamic emotion transition recognition. The results demonstrate that the proposed method achieves the lowest mean square error in both valence and arousal recognition tasks on the dynamic emotion transition dataset and a classic multimodal emotion dataset. It exhibits superior recognition accuracy and stability when compared with five existing unimodal and six multimodal deep learning models. The approach enhances both adaptability and robustness in recognizing emotional state transitions in real-world scenarios, showing promising potential for applications in the field of biomedical engineering.
Humans ; Emotions/physiology* ; Electroencephalography ; Neural Networks, Computer ; Eye Movements ; Perception