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1.
Digit Health ; 9: 20552076231210725, 2023.
Article in English | MEDLINE | ID: mdl-37928335

ABSTRACT

Objective: This article describes a protocol for a randomized controlled trial to evaluate the effects of a three-level Health App for Post-Pandemic Years (HAPPY) on alleviating post-pandemic physiological and psychosocial distress. Methods: Convenience and snowball sampling methods will be used to recruit 814 people aged 18+ with physiological and/or psychosocial distress. The experimental group will receive a 24-week intervention consisting of an 8-week regular supervision phase and a 16-week self-help phase. Based on their assessment results, they will be assigned to receive interventions on mindfulness, energy conservation techniques, or physical activity training. The waitlist control group will receive the same intervention in Week 25. The primary outcome will be changes in psychosocial distress, measured using the Kessler Psychological Distress Scale (K10). Secondary outcomes will include changes in levels of fatigue (Chinese version of the Brief Fatigue Inventory), sleep quality (Chinese version of the Pittsburgh Sleep Quality Index), pain intensity (Numeric Rating Scale), positive appraisal (Short version of the 18-item Cognitive Emotion Regulation Questionnaire), self-efficacy (Chinese version of the General Self-efficacy Scale), depression and anxiety (Chinese version of the 21-item Depression Anxiety Stress Scale), and event impact (Chinese version of the 22-item Impact of Event Scale-Revised). All measures will be administered at baseline (T0), Week 8 after the supervision phase (T1), and 24 weeks post-intervention (T2). A generalized estimating equations model will be used to examine the group, time, and interaction (Time × Group) effect of the interventions on the outcome assessments (intention-to-treat analysis) across the three time points, and to compute a within-group comparison of objective physiological parameters and adherence to the assigned interventions in the experimental group. Conclusions: The innovative, three-level mobile HAPPY app will promote beneficial behavioral strategies to alleviate post-pandemic physiological and psychosocial distress. Trial registration: ClinicalTrials.gov, NCT05459896. Registered on 15 July 2022.

2.
Science ; 382(6668): 270-272, 2023 Oct 20.
Article in English | MEDLINE | ID: mdl-37856603

ABSTRACT

New firm-level data can inform policy-making.

3.
Prog Orthod ; 22(1): 21, 2021 Jul 26.
Article in English | MEDLINE | ID: mdl-34308514

ABSTRACT

BACKGROUND: Orthodontic tooth movement (OTM) has been shown to induce osteocyte apoptosis in alveolar bone shortly after force application. However, how osteocyte apoptosis affects orthodontic tooth movement is unknown. The goal of this study was to assess the effect of inhibition of osteocyte apoptosis on osteoclastogenesis, changes in the alveolar bone density, and the magnitude of OTM using a bisphosphonate analog (IG9402), a drug that affects osteocyte and osteoblast apoptosis but does not affect osteoclasts. MATERIAL AND METHODS: Two sets of experiments were performed. Experiment 1 was used to specifically evaluate the effect of IG9402 on osteocyte apoptosis in the alveolar bone during 24 h of OTM. For this experiment, twelve mice were divided into two groups: group 1, saline administration + OTM24-h (n=6), and group 2, IG9402 administration + OTM24-h (n=6). The contralateral unloaded sides served as the control. The goal of experiment 2 was to evaluate the role of osteocyte apoptosis on OTM magnitude and osteoclastogenesis 10 days after OTM. Twenty mice were divided into 4 groups: group 1, saline administration without OTM (n=5); group 2, IG9402 administration without OTM (n=5); group 3, saline + OTM10-day (n=6); and group 4, IG9402 + OTM10-day (n=4). For both experiments, tooth movement was achieved using Ultra Light (25g) Sentalloy Closed Coil Springs attached between the first maxillary molar and the central incisor. Linear measurements of tooth movement and alveolar bone density (BVF) were assessed by MicroCT analysis. Cell death (or apoptosis) was assessed by terminal dUTP nick-end labeling (TUNEL) assay, while osteoclast and macrophage formation were assessed by tartrate-resistant acid phosphatase (TRAP) staining and F4/80+ immunostaining. RESULTS: We found that IG9402 significantly blocked osteocyte apoptosis in alveolar bone (AB) at 24 h of OTM. At 10 days, IG9402 prevented OTM-induced loss of alveolar bone density and changed the morphology and quality of osteoclasts and macrophages, but did not significantly affect the amount of tooth movement. CONCLUSION: Our study demonstrates that osteocyte apoptosis may play a significant role in osteoclast and macrophage formation during OTM, but does not seem to play a role in the magnitude of orthodontic tooth movement.


Subject(s)
Osteocytes , Tooth Movement Techniques , Animals , Apoptosis , Bone Remodeling , Mice , Pilot Projects
4.
Stud Health Technol Inform ; 264: 1805-1806, 2019 Aug 21.
Article in English | MEDLINE | ID: mdl-31438353

ABSTRACT

More and more researchers have recommended critically ill patients to start mobilization as early as possible. However, the clinical utilization rate of early mobilization remains low for patients in the intensive care units (ICU) because of various factors. In order to promote the rehabilitation of critically ill patients, a multidisciplinary research team, including academic researchers, ICU head nurses, respiratory therapists, and a software engineer, has developed a virtual reality system for early mobilization in ICU. This system has four main features-the diverse forms of mobilization based on muscle strength, the integration of exercise and cognitive training, the visualization of the mobilization process and the record of the trajectory during mobilization exercises. This paper presents and discusses the development process of this system.


Subject(s)
Early Ambulation , Virtual Reality , Critical Illness , Exercise Therapy , Humans , Intensive Care Units
5.
J Neurotrauma ; 36(10): 1632-1645, 2019 05 15.
Article in English | MEDLINE | ID: mdl-30484362

ABSTRACT

Traumatic brain injuries (TBI) lead to dramatic changes in the surviving brain tissue. Altered ion concentrations, coupled with changes in the expression of membrane-spanning proteins, create a post-TBI brain state that can lead to further neuronal loss caused by secondary excitotoxicity. Several GABA receptor agonists have been tested in the search for neuroprotection immediately after an injury, with paradoxical results. These drugs not only fail to offer neuroprotection, but can also slow down functional recovery after TBI. Here, using computational modeling, we provide a biophysical hypothesis to explain these observations. We show that the accumulation of intracellular chloride ions caused by a transient upregulation of Na+-K+-2Cl- (NKCC1) co-transporters as observed following TBI, causes GABA receptor agonists to lead to excitation and depolarization block, rather than the expected hyperpolarization. The likelihood of prolonged, excitotoxic depolarization block is further exacerbated by the extremely high levels of extracellular potassium seen after TBI. Our modeling results predict that the neuroprotective efficacy of GABA receptor agonists can be substantially enhanced when they are combined with NKCC1 co-transporter inhibitors. This suggests a rational, biophysically principled method for identifying drug combinations for neuroprotection after TBI.


Subject(s)
Brain Injuries, Traumatic , Computer Simulation , GABA Agonists/pharmacology , Models, Neurological , Neuroprotective Agents/pharmacology , Pyramidal Cells/drug effects , Animals , Humans , Pyramidal Cells/physiology
6.
Stud Health Technol Inform ; 251: 241-244, 2018.
Article in English | MEDLINE | ID: mdl-29968648

ABSTRACT

We applied deep learning algorithms to build correlate models that predict tooth mobility in a convenience sample of urban Latinos. Our application of deep learning identified age, general health, soda consumption, flossing, financial stress, and years living in the US as the strongest correlates of self-reported tooth mobility among 78 variables entered. The application of deep learning was useful for gaining insights into the most important modifiable and non-modifiable factors predicting tooth mobility, and maybe useful for guiding targeted interventions in urban Latinos.


Subject(s)
Algorithms , Hispanic or Latino , Machine Learning , Tooth Mobility , Forecasting , Health Behavior , Humans , Self Report , Urban Population
7.
Stud Health Technol Inform ; 251: 253-256, 2018.
Article in English | MEDLINE | ID: mdl-29968651

ABSTRACT

We applied machine learning techniques to a community-based behavioral dataset to build prediction models to gain insights about minority dental health and population aging as the foundation for future interventions for urban Hispanics. Our application of machine learning techniques identified emotional and systemic factors such as chronic stress and health literacy as the strongest predictors of self-reported dental health among hundreds of possible variables. Application of machine learning algorithms was useful to build prediction models to gain insights about dental health and minority population aging.


Subject(s)
Hispanic or Latino , Machine Learning , Oral Health , Aged , Algorithms , Humans , Middle Aged , Self Report
8.
Stud Health Technol Inform ; 250: 144-145, 2018.
Article in English | MEDLINE | ID: mdl-29857410

ABSTRACT

To assess the effectiveness of mHealth interventions for asthma self-management, we conducted a systematic review and meta-analysis of relevant studies identified by a search of English and Chinese databases. 18 studies were included in meta-analysis, and the results showed that mHealth interventions (vs routine care) improved the level of asthma control and adherence to treatment, and reduced exacerbation rate and admission rate. Evidence from this study shows that mobile health-based interventions may be useful tools for asthma self-management.


Subject(s)
Asthma/therapy , Self-Management , Telemedicine , Humans , Monitoring, Physiologic , Self Care
9.
Complement Ther Med ; 32: 25-32, 2017 Jun.
Article in English | MEDLINE | ID: mdl-28619301

ABSTRACT

OBJECTIVE: To address the challenges for trialing with elderly and the lacking of valid sham/placebo control, a randomized crossover pilot study is designed and its feasibility on elderly subjects is evaluated. DESIGN: A pilot randomized crossover study was conducted with hydrocollator-based hot pack therapy as active control. Pain intensity, physical disability, depression, general health status, and salivary biomarkers were assessed as outcome measures. RESULTS: Despite there was no significant difference observed between any outcome measures attained by the two interventions, several important differences were noted during the one-week follow-up period. The magnitudes of pain reduction (21-25% versus 16-18%) and disability improvement (45-52% versus 39-42%) were greater in the Gua sha-treated group than the hot pack group. Both treatments were shown to improve flexion, extension and bending movements of the lower back, whereas areas of improvement varied between the two interventions. Decreasing trends were observed in both tumor necrosis factor-alpha (TNF-α) and heme-oxygenase-1 (HO-1) levels following Gua sha. However, rebounds of the biomarkers were observed one week following hot pack. Furthermore, in response to Gua sha, the decrease of TNF-α was strongly correlated with the improvement of physical disability, whereas the physical disability was correlated with the VAS pain intensity. CONCLUSION: It demonstrated a feasible clinical trial protocol for evaluating the effectiveness of Gua sha and other therapeutic modalities. Gua sha may exhibit a more long-lasting anti-inflammatory effect relative to hot pack for pain relief and improved mobility in elderly patients with chronic low back pain.


Subject(s)
Chronic Pain/therapy , Drugs, Chinese Herbal/therapeutic use , Low Back Pain/therapy , Medicine, Chinese Traditional , Aged , Biomarkers/blood , Cross-Over Studies , Female , Humans , Hyperthermia, Induced , Inflammation/blood , Male , Middle Aged , Pilot Projects , Tumor Necrosis Factor-alpha/blood
10.
J Bone Miner Res ; 28(5): 1127-34, 2013 May.
Article in English | MEDLINE | ID: mdl-23197372

ABSTRACT

Temporomandibular joint (TMJ) disorders predominantly afflict women of childbearing age, suggesting a role for female hormones in the disease process. In long bones, estrogen acting via estrogen receptor beta (ERß) inhibits axial skeletal growth in female mice. However, the role of ERß in the mandibular condyle is largely unknown. We hypothesize that female ERß-deficient mice will have increased mandibular condylar growth compared to wild-type (WT) female mice. This study examined female 7-day-old, 49-day-old, and 120-day-old WT and ERß knockout (KO) mice. There was a significant increase in mandibular condylar cartilage thickness as a result of an increased number of cells, in the 49-day-old and 120-day-old female ERß KO compared with WT controls. Analysis in 49-day-old female ERß KO mice revealed a significant increase in collagen type X, parathyroid hormone-related protein (Pthrp), and osteoprotegerin gene expression and a significant decrease in receptor activator for nuclear factor κ B ligand (Rankl) and Indian hedgehog (Ihh) gene expression, compared with WT controls. Subchondral bone analysis revealed a significant increase in total condylar volume and a decrease in the number of osteoclasts in the 49-day-old ERß KO compared with WT female mice. There was no difference in cell proliferation in condylar cartilage between the genotypes. However, there were differences in the expression of proteins that regulate the cell cycle; we found a decrease in the expression of Tieg1 and p57 in the mandibular condylar cartilage from ERß KO mice compared with WT mice. Taken together, our results suggest that ERß deficiency increases condylar growth in female mice by inhibiting the turnover of fibrocartilage.


Subject(s)
Estrogen Receptor beta/genetics , Mandibular Condyle/growth & development , Animals , Cell Cycle , Female , Gene Expression , Insulin-Like Growth Factor I/metabolism , Male , Mice , Mice, Inbred C57BL , Mice, Knockout , Polymerase Chain Reaction
12.
Exp Mol Med ; 41(2): 116-25, 2009 Feb 28.
Article in English | MEDLINE | ID: mdl-19287192

ABSTRACT

Bone morphogenic protein 4 (BMP4), a member of the TGF-beta superfamily, induced neural differentiation of neural stem cells (NSCs) grown in a medium containing basic fibroblast growth factor (bFGF). The Ras protein level and the activities of the downstream ERKs were increased by transfection of BMP4 or treatment with recombinant BMP4. The effects of BMP4, including activation of the Ras-ERK pathway and induction of the neuron marker beta-tubulin type III (Tuj1), were blocked by co-treatment of the BMP4 antagonist, noggin. The roles of the Ras-ERK pathway in neuronal differentiation by BMP4 were revealed by measuring the effect of the ERK pathway inhibition by dominant negative Ras or PD98059, the MEK specific inhibitor. BMP4 is a transcriptional target of Wnt/beta-catenin signaling, and both the mRNA and protein levels of BMP4 were increased by treatment of valproic acid (VPA), a chemical inhibitor of glycogen synthase kinase 3beta (GSK3beta) activating the Wnt/beta-catenin pathway. The BMP4- mimicking effects of VPA, activation of the Ras-ERK pathway and induction of Tuj1, also were blocked by noggin. These results indicate the potential therapeutic usage of VPA as a replacement for BMP4.


Subject(s)
Bone Morphogenetic Protein 4/metabolism , Extracellular Signal-Regulated MAP Kinases/metabolism , Neurons/cytology , Stem Cells/cytology , Animals , Bone Morphogenetic Protein 4/genetics , Cell Differentiation/drug effects , Cells, Cultured , Cerebral Cortex/cytology , Cerebral Cortex/embryology , Rats , Rats, Sprague-Dawley , Up-Regulation/drug effects , Valproic Acid/pharmacology , beta Catenin/metabolism , ras Proteins/genetics , ras Proteins/metabolism
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