Using the integrated behavioral model to explain and predict cannabis vaping among college students.

Background: Cannabis vaping has become increasingly popular among college students. The purpose of this study was to use the Integrated Behavioral Model to better understand students' motivations for engaging in this high-risk behavior. Methods: A survey instrument was developed to assess six IBM constructs, as well as past use of cannabis and nicotine, and cannabis vaping behavior changes related to COVID-19. A structural equation model was used to assess the effects of IBM predictors on Behavioral Intention. Results: The IBM predictors accounted for 54.2% of the variance in Behavioral Intention. The strongest path coefficients on Behavioral Intention were Perceived Norm and Experiential Attitude. Conclusion: The results from this study can be used to design interventions to decrease cannabis vaping use among college students. More specifically, social norm interventions and addressing other misconceptions about vaping cannabis, appears to be a promising theoretical approach to help ameliorate this unique public health challenge.

Determining optimal ALT cut-off values for predicting significant hepatic histological changes in patients with normal ALT in the grey zone of chronic hepatitis B virus infection.

BACKGROUND AND AIMS: We aimed to define gender-specific, optimal alanine aminotransferase (ALT) cut-off values for the prediction of significant liver histological changes (SLHC) in Chinese patients with grey zone (GZ) chronic hepatitis B (CHB) and normal ALT. METHODS: In a retrospective study, we included 1101 consecutive patients with GZ CHB and normal ALT assigned to training or internal validation cohorts. We included an independent cohort of 842 patients for external validation. We performed receiver operating characteristic (ROC) curve, smoothed curve fitting, and threshold effect analyses to determine optimal ALT cut-off values. Area under the curve (AUC) values were calculated to assess their predictive performance. RESULTS: A proportion of 79.3% of patients with GZ CHB and normal ALT (≤40 U/L) had SLHC. ROC curve analysis initially identified optimal ALT cut-off values of 29 U/L (male) and 22 U/L (female). After smoothed curve fitting and threshold effect analyses, new optimal cut-off values were 27 U/L for males and 24 U/L for females. AUCs for these values were 0.836 (male) and 0.833 (female) in the internal validation cohort, and 0.849 (male) and 0.844 (female) in the external validation cohort. The accuracy and discriminative ability of the newly defined ALT cut-off values were greater than those of the current recommendations. CONCLUSION: This study established novel optimal ALT cut-off values for more precise prediction of SLHC among Chinese patients with GZ CHB and normal ALT levels. This may help identify individuals who will benefit from timely antiviral therapy.

Hepatitis B Virus Envelope Antigen and Hepatitis B Virus Surface Antigen Both Contribute to the Innate Immune Response During Persistent Hepatitis B Virus Infection.

This study aimed to investigate the changes of toll-like receptor 4 (TLR4), proinflammatory cytokine expression, hepatitis B virus surface antigen (HBsAg), and hepatitis B virus envelope antigen (HBeAg) expression as well as innate immune cell percentages in a mouse model of persistent hepatitis B virus (HBV) infection to better understand the innate immune response. Mouse models of persistent HBV infection, HBsAg expression, and HBeAg expression were developed using high-pressure tail-vein injection of recombinant adeno-associated viruses. Enzyme-linked immunosorbent assays (ELISAs) were used to determine the serum proinflammatory cytokine levels. Immunohistochemistry and western blot assays were used to detect TLR4 expression. Flow cytometric analysis was used to assess the percentage of innate immune cells in the whole blood. Persistent HBV infection, HBsAg expression, and HBeAg expression each significantly decreased the expression of TLR4. Persistent HBV infection significantly increased the percentages of T cells and monocytes, whereas it decreased the percentage of natural killer (NK) cells. Persistent HBeAg expression also decreased the percentage of NK cells, whereas persistent HBsAg expression increased the percentage of NK cells. Both persistent HBsAg and HBeAg expression increased the percentage of monocytes. However, both persistent HBsAg and HBeAg expression decreased the percentage of T cells. HBV as well as HBsAg and HBeAg showed similar effects on the expression of TLR4 and proinflammatory cytokines as well as the percentage of monocytes. Persistent HBV infection increased the percentage of T cells and decreased the percentage of NK cells, whereas only persistent HBeAg expression contributed to a decreased percentage of NK cells.

Development a novel nomogram model for predicting significant hepatic histological changes in chronic hepatitis B virus carriers.

A proportion of chronic hepatitis B virus (HBV) carriers with normal alanine transaminase (ALT) present with significant liver histological changes (SLHC). To construct a noninvasive nomogram model to identify SLHC in chronic HBV carriers with different upper limits of normal (ULNs) for ALT. The training cohort consisted of 732 chronic HBV carriers who were stratified into four sets according to different ULNs for ALT: chronic HBV carriers I, II, III, and IV. The external validation cohort comprised 277 chronic HBV carriers. Logistic regression and least absolute shrinkage and selection operator analyses were applied to develop a nomogram model to predict SLHC. A nomogram model-HBGP (based on hepatitis B surface antigen, gamma-glutamyl transpeptidase, and platelet count) demonstrated good performance in diagnosing SLHC with area under the curve (AUCs) of 0.866 (95% confidence interval [CI]: 0.839-0.892) and 0.885 (95% CI: 0.845-0.925) in the training and validation cohorts, respectively. Furthermore, HBGP displayed high diagnostic values for SLHC with AUCs of 0.866 (95% CI: 0.839-0.892), 0.868 (95% CI: 0.838-0.898), 0.865 (95% CI: 0.828-0.901), and 0.853 (95% CI: 0.798-0.908) in chronic HBV carriers I, II, III, and IV, respectively. Additionally, HBGP showed greater ability in predicting SLHC compared with the existing predictors. HBGP has shown high predictive performance for SLHC, and thus may lead to an informed decision on the initiation of antiviral treatment.

Racial and ethnic disparities in COVID-19 vaccine uptake: A mediation framework.

BACKGROUND: Previous research suggests that racial and ethnic minority groups especially Black Americans showed stronger COVID-19 vaccine hesitancy and resistance, which may result from a lack of trust toward the government and vaccine manufacturers, among other sociodemographic and health factors. OBJECTIVES: The current study explored potential social and economic, clinical, and psychological factors that may have mediated racial and ethnic disparities in COVID-19 vaccine uptake among US adults. METHODS: A sample of 6078 US individuals was selected from a national longitudinal survey administered in 2020-2021. Baseline characteristics were collected in December 2020, and respondents were followed up to July 2021. Racial and ethnic disparities in time to vaccine initiation and completion (based on a 2-dose regimen) were first assessed with the Kaplan-Meier Curve and log-rank test, and then explored with the Cox proportional hazards model adjusting for potential time-varying mediators, such as education, income, marital status, chronic health conditions, trust in vaccine development and approval processes, and perceived risk of infection. RESULTS: Prior to mediator adjustment, Black and Hispanic Americans had slower vaccine initiation and completion than Asian Americans and Pacific Islanders and White Americans (p's < 0.0001). After accounting for the mediators, there were no significant differences in vaccine initiation or completion between each minoritized group as compared to White Americans. Education, household income, marital status, chronic health conditions, trust, and perceived infection risk were potential mediators. CONCLUSION: Racial and ethnic disparities in COVID-19 vaccine uptake were mediated through social and economic conditions, psychological influences, and chronic health conditions. To address the racial and ethnic inequity in vaccination, it is important to target the social, economic, and psychological forces behind it.

The importance of social risk factors for patients diagnosed with opioid use disorder.

BACKGROUND: Opioid Use Disorder (OUD) is a major public health concern, with mortality rates in individuals who use opioid medications being up to 30 times greater than those of individuals who do not use such medications. Social risk factors influence one's ability to make healthy choices and pose challenges for individuals recovering from OUD. OBJECTIVE: This study aimed to explore the relationship between OUD and social risk factors for patients who have been prescribed opioid medications. METHODS: Data for this retrospective cohort study were obtained from a health care system's comprehensive data warehouses consisting of electronic health records (EHR) with Social Determinants of Health (SDoH) screening information, and medical and prescription claims data. The study compared patients 18 years of age or older with an opioid prescription who were considered users of opioids to patients who had a documented diagnosis of OUD in the EHR. All patients were screened for SDoH. The analyses were performed using Statistical Analysis System (SAS) (SAS Institute Inc, Cary, NC). RESULTS: The study included patients with an outpatient visit at one of the health care system's primary care or oncology facilities between January 1, 2017 and December 31, 2018. There were 5003 patients with an opioid prescription who were considered users of opioids, and 209 patients with an opioid prescription as well as a diagnosis of OUD. Compared to the opioid use group, patients with OUD were more likely to have a lower educational attainment, encounter financial hardship, or be food insecure. Being female, older than 40, and having a higher Charlson Comorbidity Index score were factors associated with lower rates of opioid misuse. CONCLUSION: Identifying social risk factors and providing appropriate services to individuals with OUD is essential in mitigating challenges to recovery and promoting overall health for these individuals.

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We analyzed the particle size distribution of soil aggregates in 0-20 and 20-40 cm soil layers of rice-wheat rotation field based on a field plot test with two treatments, conventional straw returning (CK) and straw returning with the addition of straw decomposition promoting microbial inoculants (IT). We evaluated the water stability indices of soil aggregates (the number of soil water stable large aggregates R0.25, the average weight diameter MWD, and the geometric average diameter GMD), and measured the contents of soil organic carbon (SOC), total nitrogen (TN), and total phosphorus (TP) in the soil aggregates of ＜0.053, 0.053-0.25, 0.25-1, ＞1 mm. The results showed that: 1) The number of aggregates ＜0.053, 0.053-0.25, ＞0.25 mm in the 0-20 and 20-40 cm soil layers under IT decreased by 10.0% and 6.8%, increased by 3.0% and 5.7%, and 17.9% and 26.1% compared with CK, respectively. IT effectively increased R0.25, MWD, and GMD by 26.4%, 20.0%, 18.2% and 18.2%, 10.5%, 10.0% in 0-20 and 20-40 cm soil, respectively. 2) Compared to CK, the TP content of 0.25-1 mm aggregates in 0-20 and 20-40 cm soil under IT was significantly increased by 40.3% and 37.5%, respectively, without difference in TN and SOC contents. There was no significant difference in nutrient contents of the other aggregates between the treatments. The contents of SOC and TN in large aggregates (>0.25 mm) were higher than those in silty aggregates (<0.053 mm). Compared to CK, the cumulative contribution rates of SOC, TN and TP of <0.053 mm aggregates under IT were decreased in two soil layers. There was no significant difference in the nutrient cumulative contribution rates of 0.053-0.25 mm aggregates between treatments. The cumulative contribution rates of SOC, TN, and TP of large aggregates (>0.25 mm) under IT were 32.1%, 19.6%, 52.8% and 22.8%, 11.8%, 42.9% higher than those under CK in 0-20 and 20-40 cm soils, respectively. 3) The number of <0.053 mm aggregates was significantly negatively correlated with SOC and TP contents, while that of 0.053-0.25 mm aggregates was negatively correlated with nutrient content. The number of large aggregates (>0.25 mm) were significantly positively correlated with SOC, TN, and TP contents. In conclusion, straw returning with microbial-inoculant addition could promote the formation of soil macroaggregates (>0.25 mm), and improve the water stability of soil aggregates, increasing nutrient contents in soil macroaggregates, with the nutrients transferring from silty aggregates to macroaggregates.

Oxygen Therapy During Activities of Daily Living Rehabilitation and Outcome in Patients With Severe-to-critical COVID-19.

Objective: To primarily study the duration of supplemental oxygen use while performing ADLs (activities of daily living) and associations leading to a more prolonged oxygen therapy during these tasks. Secondary objectives include (1) studying the presence of COVID-19 related complications during inpatient rehabilitation and after discharge and (2) describing functional outcomes of participants after supplemental oxygen liberation and hospital discharge. Design: Explorative prospective observational cohort study. Setting: Rehabilitation center within a tertiary hospital, caring for post-COVID patients. Participants: Twenty-three (N=23) community-dwelling persons with severe-to-critical COVID-19 disease and ongoing oxygen therapy needs. There was a preponderance of men (69.6%), with mean age of 69.5 (range 46-85) years. Interventions: Inpatient pulmonary rehabilitation. Main Outcome Measures: The primary outcome was the duration of supplemental oxygen use (from initiation till wean) for ambulation, toileting, dressing, and showering. Secondary outcomes included the presence of COVID-19 related complications (during rehabilitation and after discharge) and post-discharge functional status. Results: After rehabilitation center transfer, all subjects only required oxygen therapy during task(s) performance, and not at rest. ADLs that took the shortest and longest time for supplemental oxygen weaning were dressing (mean 38.4±SD 17.1 days) and showering (mean 47.7±SD 18.1 days), respectively. The mean duration of oxygen therapy application was 48.6±SD 18.3 days. On multivariable analysis, mechanical ventilation and exertional desaturation were significantly associated with prolonged duration for oxygen therapy in all ADLs. Conclusion: The duration of needful oxygen therapy was dissimilar for different ADLs. Showering, which required the longest duration of supplemental oxygen wean, might prove to be the rate-limiting ADL for discharge home.

Perceived and Experienced Anti-Chinese Discrimination and Its Associated Psychological Impacts Among Chinese Canadians During the Wave 2 of the COVID-19 Pandemic.

The current study examined the sociodemographic factors associated with perceived and experienced anti-Chinese discrimination and discrimination as a predictor of psychological distress and loneliness among Chinese Canadians. A cross-sectional online survey was conducted in early 2021 with a sample of 899 Chinese Canadians (i.e., immigrants, citizens, visitors, and international students) during the Wave 2 of the COVID-19 pandemic. Overall, anti-Chinese discrimination was generally associated with younger age and poor financial or health status. Christianity/Catholicism believers were less likely to report perceived discrimination, whereas being married/partnered and living with family reduced the incidences of experienced discrimination. Most importantly, hierarchical linear regression models showed that both perceived and experienced discrimination predicted higher psychological distress (ßs = 4.90-7.57, ps ≤ .001) and loneliness (ßs = .89-1.73, ps ≤ .003), before and after controlling for all related sociodemographic covariates. Additionally, older age, higher education, better financial or health status could all buffer psychological distress, whereas living with family or in a house and better financial or health status could mitigate feeling of loneliness. The results suggested that discrimination has a robust detrimental impact on mental health conditions among Chinese Canadians.

Gut microbiota of hepatitis B virus-infected patients in the immune-tolerant and immune-active phases and their implications in metabolite changes.

BACKGROUND: The microbes and metabolomics of microbiota dysbiosis in the gut in the different phases of hepatitis B virus (HBV) infection are not fully understood. AIM: To investigate the specific gut microbiota and metabolites of the immune-tolerant (IT) and immune-active (IA) phases of chronic hepatitis B (CHB). METHODS: Clinical fecal samples from healthy individuals and patients in the IT and IA phases of HBV infection were collected. Next, non-target metabolomics, bioinformatics, and 16S rDNA sequencing analyses were performed. RESULTS: A total of 293 different metabolites in 14 phyla, 22 classes, 29 orders, 51 families, and 190 genera were identified. The four phyla of Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were the most abundant, accounting for 99.72%, 99.79%, and 99.55% in the healthy controls, IT-phase patients, and IA-phase patients, respectively. We further identified 16 genera with different richness in the IT phase and IA phase of HBV infection. Of the 134 named metabolites, 57 were upregulated and 77 were downregulated. A total of 101 different metabolic functions were predicted in this study, with 6 metabolic pathways having the highest enrichments, namely carbohydrate metabolism (14.85%), amino acid metabolism (12.87%), lipid metabolism (11.88%), metabolism of cofactors and vitamins (11.88%), xenobiotic biodegradation (9.9%), and metabolism of terpenoids and polyketides (7.92%). CONCLUSION: These findings provide observational evidence of compositional alterations of the gut microbiome and some related metabolites in patients with IT-phase or IA-phase HBV infection. Further studies should investigate whether microbiota modulation can facilitate the progression of CHB and the cause-effect relationship between the gut microbiota and CHB.

Factors that influence cannabis vaping habits of college students: A qualitative study.

Objective: The purpose of this study is to examine the attitudes and perceptions of college undergraduates regarding cannabis vaping. Participants: Twenty-one, predominantly male (71.4%; Mage = 22, SD = 2.09), undergraduate college students who reported vaping cannabis in the past 30 days. Methods: Participants were interviewed to determine their attitudes and perceptions regarding cannabis vaping. Findings: Thematic analysis uncovered six primary themes and eighteen subthemes. Main themes included (1) Convenience, (2) Discreetness, (3) Mood-Altering Experience, (4) Social Acceptability, (5) Health and Safety, and (6) COVID-19 Pandemic Impact. Conclusion: College students who use cannabis tend to both vape and use combustible methods, depending upon social and physical environment. This population tends to vaporize cannabis for its perceived mood-altering properties. Additional research is needed to further examine the behaviors and attitudes surrounding cannabis vaping among college undergraduates, as well as the development of interventions specific to this demographic.

Chromobox 7/8 serve as independent indicators for glioblastoma via promoting proliferation and invasion of glioma cells.

Background: The chromobox family, a critical component of epigenetic regulators, participates in the tumorigenesis and progression of many malignancies. However, the roles of the CBX family members (CBXs) in glioblastoma (GBM) remain unclear. Methods: The mRNA expression of CBXs was analyzed in tissues and cell lines by Oncomine and Cancer Cell Line Encyclopedia (CCLE). The differential expression of CBXs at the mRNA level was explored in The Cancer Genome Atlas (TCGA) and Chinese Glioma Genome Atlas (CGGA) databases with the "beeswarm" R package. The protein expression of CBXs in GBM was further examined on Human Protein Atlas (HPA). The correlations between CBXs and IDH mutation and between CBXs and GBM subtypes were investigated in the TCGA portal and CGGA database with the "survminer" R package. The alteration of CBXs and their prognostic value were further determined via the cBioPortal and CGGA database with the "survival" R package. The univariate and multivariate analyses were performed to screen out the independent prognostic roles of CBXs in the CGGA database. Cytoscape was used to visualize the functions and related pathways of CBXs in GBM. U251 and U87 glioma cells with gene intervention were used to validate the role of CBX7/8 in tumor proliferation and invasion. Proliferation/invasion-related markers were conducted by Western blot and immunostaining. Results: CBXs presented significantly differential expressions in pan-cancers. CBX2/3/5/8 were upregulated, whereas CBX6/7 were downregulated at mRNA level in GBM of TCGA and CGGA databases. Similarly, high expression of CBX2/3/5 and low expression of CBX6/8 were further confirmed at the protein level in the HPA. CBX2/6/7 were positively correlated with IDH mutation and CBX1/2/4/5/8 were closely related to GBM subtypes. CBX7 and CBX8 presented the independent prognostic factors for GBM patient survival. GO and KEGG analyses indicated that CBXs were closely related to the histone H3-K36, PcG protein complex, ATPase, and Wnt pathway. The overexpression of CBX7 and underexpression of CBX8 significantly inhibited the proliferation and invasion of glioma cells in vivo and in vitro. Conclusion: Our results suggested that CBX7 and CBX8 served as independent prognostic indicators that promoted the proliferation and invasion of glioma cells, providing a promising strategy for diagnosing and treating GBM.

Advantages of a Novel Model for Predicting Hepatic Fibrosis in Chronic Hepatitis B Virus Carriers Compared with APRI and FIB-4 Scores.

Background and Aims: Aspartate aminotransferase-to-platelet ratio index (APRI) and fibrosis-4 index (FIB-4) are widely used to assess liver fibrosis in chronic hepatitis B virus (HBV) infection. Currently, the definition of normal alanine aminotransferase (ALT) is controversial. We aimed to examine the diagnostic value of APRI and FIB-4 in chronic HBV carriers with different upper limits of normal (ULNs) for ALT. Methods: 581 chronic HBV carriers were divided into the following four groups based on different ULNs for ALT: chronic HBV carriers I, II, III, and IV. Furthermore, 106 chronic HBV carriers formed an external validation group. Predictive values of APRI and FIB-4 were elucidated using the area under the curve (AUC). A liver fibrosis-predictive model-GPSA (named for its measure of gamma glutamyl transpeptidase, platelet count, HBsAg and albumin) was developed using multivariate logistic regression analysis. Results: In chronic HBV carriers I, the AUCs of APRI and FIB-4 were 0.680 and 0.609 for significant fibrosis and 0.678 and 0.661 for cirrhosis, respectively. The AUCs of GPSA for significant fibrosis in the training group, internal group, and external validation group were 0.877, 0.837, and 0.871, respectively. The diagnostic value of GPSA differed among chronic HBV carriers I, II, III, and IV, with AUCs for significant fibrosis being 0.857, 0.853, 0.868, and 0.905 and AUCs for cirrhosis being 0.901, 0.905, 0.886, and 0.913, respectively. GPSA showed a higher diagnostic value than APRI and FIB-4 for predicting significant fibrosis in the four groups. Conclusions: The GPSA model allows for accurate diagnosis of liver fibrosis in chronic HBV carriers with different ULN for ALT.

Age disparities in mental health during the COVID19 pandemic: The roles of resilience and coping.

BACKGROUND: The COVID19 pandemic has caused a mental health crisis worldwide, which may have different age-specific impacts, partly due to age-related differences in resilience and coping. The purposes of this study were to 1) identify disparities in mental distress, perceived adversities, resilience, and coping during the COVID-19 pandemic among four age groups (18-34, 35-49, 50-64, and ≥65); 2) assess the age-moderated time effect on mental distress, and 3) estimate the effects of perceived adversities on mental distress as moderated by age, resilience and coping. METHODS: Data were drawn from a longitudinal survey of a nationally representative sample (n = 7830) administered during the pandemic. Weighted mean of mental distress and adversities (perceived loneliness, perceived stress, and perceived risk), resilience, and coping were compared among different age groups. Hierarchical random-effects models were used to assess the moderated effects of adversities on mental distress. RESULTS: The youngest age group (18-34) reported the highest mental distress at baseline with the mean (standard error) as 2.70 (0.12), which showed an incremental improvement with age (2.27 (0.10), 1.88 (0.08), 1.29 (0.07) for 35-49, 50-64, and ≥65 groups respectively). The older age groups reported lower levels of loneliness and perceived stress, higher perceived risk, greater resilience, and more relaxation coping (ps < .001). Model results showed that mental distress declined slightly over time, and the downward trend was moderated by age group. Perceived adversities, alcohol, and social coping were positively,whereas resilience and relaxation were negatively associated with mental distress. Resilience and age group moderated the slope of each adversity on mental distress. CONCLUSIONS: The youngest age group appeared to be most vulnerable during the pandemic. Mental health interventions may provide resilience training to combat everyday adversities for the vulnerable individuals and empower them to achieve personal growth that challenges age boundaries.

Misuse of Prescription Medications among Individuals with Mobility Disability.

BACKGROUND: The ability of walking a quarter mile is predictive of subsequent disability, mortality, and health care costs. Individuals with mobility disability are at increased risk of chronic conditions and unmet care needs. Thus they may misuse prescription medications to self-medicate. OBJECTIVES: We aimed to explore the difference of misuse of four types of prescription medications (sedatives, tranquilizers, painkillers, depression medications) and overall misuse by mobility status and identify the correlates of overall misuse. METHODS: A national probability sample from the survey Midlife in the United States (MIDUS) was used to assess the difference in misuse by mobility status during 2011-2014. To assess the correlates of misuse, mobility status, usual source of care, unmet care needs, insurance coverage, sociodemographic variables, and clinical conditions were added to a survey weighted logistic regression model with backward selection. RESULTS: Compared to those without mobility disability, individuals with mobility disability had higher risk of misuse in most types of medications and in overall misuse. Mobility disability, lower education, unmarried status, the emergency room or public health clinic as the most often used care, pain, and depressed affect were identified as correlates of overall misuse of studied medications. CONCLUSIONS: Individuals with mobility disability are a vulnerable group susceptible to medication misuse, which warrants the urgent need for interventions to ameliorate misuse and reduce risks in this population.

Characteristics of community-dwelling older individuals who delayed care during the COVID-19 pandemic.

BACKGROUND: Disruptions and reductions in healthcare services, coupled with infection concerns in the public, have caused widespread delay in health care during the COVID-19 pandemic. Persons with disability were at increased risk for deferred care. This study aimed to examine the extent of delayed care among older US individuals by disability status, identify characteristics associated with delayed care, and explore potential barriers to care during the pandemic. METHODS: Data were drawn from the Health and Retirement Study (HRS) 2020 Core Early Release. Community-dwelling adults over age 50 (n = 15145) were classified as having ADL (or IADL) impairment versus no impairment. Distributions of demographic, clinical, and psychosocial characteristics, delayed care, and barriers to care were compared between disability groups. Characteristics associated with delayed care were identified with the multivariable logistic regression model with multiple imputation. RESULTS: 30.7% of older individuals delayed care. ADL/IADL impairment was associated with delayed care overall and in specific domains. Sociodemographic (e.g., younger age and higher socioeconomic status), clinical (e.g., disability, psychiatric conditions, pain, and severe fatigue), and psychosocial (e.g., concerns about the pandemic, perceived financial insecurity, and loneliness) characteristics were associated with delayed care. Financial barrier to care and fear disproportionately affected those with social and clinical vulnerabilities, whereas reductions in healthcare services had a greater impact on those with socioeconomic well-being. CONCLUSION: Efforts should be directed to increase receipt of needed care among vulnerable older individuals. Both pandemic-induced and long-standing barriers to care among disparate subpopulations should be considered in alternative care delivery models.

Psychological and behavioral responses during the COVID-19 pandemic among individuals with mobility and/or self-care disabilities.

BACKGROUND: The lockdowns during the COVID-19 pandemic created major obstacles for individuals with disabilities to obtain support in their daily living. OBJECTIVES: This study was to examine the psychological and behavioral responses of US individuals with mobility and/or self-care disabilities during the pandemic. METHODS: From a nationally representative longitudinal survey (n = 6403) administered during the pandemic, individuals were classified at baseline as having no mobility/self-care disability (ADL = 0, n = 4975), mobility or self-care disability (ADL = 1, n = 1061), and both mobility and self-care disabilities (ADL = 2, n = 367). Weighted mean of baseline mental distress scores (PHQ4), psychological risk factors (loneliness, stress, perceived COVID risk), resilience, and coping were compared among these groups. Random effects models were employed to assess the effects of disability and disability-moderated effects of risk factors on mental distress. RESULTS: At baseline, mental distress increased with greater ADL disabilities (Mean[95%CI] = 1.88[1.77, 1.98], 2.54[2.29, 2.79], and 3.55[3.01, 4.08] for ADL = 0, 1, and 2, respectively, p < .0001). Loneliness, stress, and perceived risk increased with ADL disabilities, but resilience and social coping decreased with it (p's < 0.0001). In the random-effects models, greater ADL disabilities, higher psychological risks, and use of cannabis and other recreational drugs were associated with greater mental distress. Greater ADL disabilities augmented the detrimental effects of risk factors on mental health, but resilience protected mental health both independently and through a buffering effect on its risk factors across all groups. CONCLUSION: Individuals with mobility and/or self-care disability tend to have poorer mental health and are differentially more affected by its risk factors. Mental health professionals should address these modifiable factors in interventions.

A novel HBsAg-based model for predicting significant liver fibrosis among Chinese patients with immune-tolerant phase chronic hepatitis B: a multicenter retrospective study.

BACKGROUND: Hepatitis B e antigen (HBeAg)-positive chronic hepatitis B (CHB) in the immune-tolerant (IT) phase is significantly associated with high risk for hepatocellular carcinoma, suggesting requirement for antiviral therapy, particularly for those with histological liver injury. This study aimed to establish a non-invasive panel to assess significant liver fibrosis in IT chronic hepatitis B. PATIENTS AND METHODS: One hundred and thirteen IT-phase CHB patients were retrospectively recruited and divided into two histopathological groups according to their histological profiles: necroinflammatory score <4 (N <4)/fibrosis score ⩽1 (F0-1), and necroinflammatory score ⩾4 (N ⩾4)/fibrosis score ⩾2 (F2-4). Multivariate analysis was conducted to assess the predictive value of the non-invasive model for significant liver fibrosis. RESULTS: IT-phase CHB patients with N <4/F0-1 had significantly higher HBsAg levels than those with N ⩾4/F2-4. The optimal HBsAg level of log 4.44 IU/mL for significant liver fibrosis (F ⩾2) gave an area under the curve (AUC) of 0.83, sensitivity of 81.1%, specificity of 81.6%, positive predictive value (PPV) of 68.2%, and negative predictive value (NPV) of 89.9%. An IT model with HBsAg and gamma glutamyl transpeptidase (GGT) in combination was established, and it had an AUC of 0.86, sensitivity of 86.5%, specificity of 81.6%, PPV of 69.6, NPV of 92.5, and accuracy of 83.2% to predict F ⩾2 in the IT-phase CHB patients. Notably, the IT model exhibited higher predictive value than the existing aspartate aminotransferase-to-platelet ratio index, Fibrosis-4 score, and GGT to platelet ratio. CONCLUSION: The established IT model combining HBsAg and GGT has good performance in predicting significant liver fibrosis in IT-phase CHB patients.

Effect of liver inflammation on accuracy of FibroScan device in assessing liver fibrosis stage in patients with chronic hepatitis B virus infection.

BACKGROUND: Transient elastography (FibroScan) is a new and non-invasive test, which has been widely recommended by the guidelines of chronic hepatitis B virus (HBV) management for assessing hepatic fibrosis staging. However, some confounders may affect the diagnostic accuracy of the FibroScan device in fibrosis staging. AIM: To evaluate the diagnostic value of the FibroScan device and the effect of hepatic inflammation on the accuracy of FibroScan in assessing the stage of liver fibrosis in patients with HBV infection. METHODS: The data of 416 patients with chronic HBV infection who accepted FibroScan, liver biopsy, clinical, and biological examination were collected from two hospitals retrospectively. Receiver operating characteristic (ROC) curves were used to analyze the diagnostic performance of FibroScan for assessing the stage of liver fibrosis. Any discordance in fibrosis staging by FibroScan and pathological scores was statistically analyzed. Logistic regression and ROC analyses were used to analyze the accuracy of FibroScan in assessing the stage of fibrosis in patients with different degrees of liver inflammation. A non-invasive model was constructed to predict the risk of misdiagnosis of fibrosis stage using FibroScan. RESULTS: In the overall cohort, the optimal diagnostic values of liver stiffness measurement (LSM) using FibroScan for significant fibrosis (≥ F2), severe fibrosis (≥ F3), and cirrhosis (F4) were 7.3 kPa [area under the curve (AUC) = 0.863], 9.7 kPa (AUC = 0.911), and 11.3 kPa (AUC = 0.918), respectively. The rate of misdiagnosis of fibrosis stage using FibroScan was 34.1% (142/416 patients). The group of patients who showed discordance between fibrosis staging using FibroScan and pathological scores had significantly higher alanine aminotransferase and aspartate aminotransferase levels, and a higher proportion of moderate to severe hepatic inflammation, compared with the group of patients who showed concordance in fibrosis staging between the two methods. Liver inflammation activity over 2 (OR = 3.53) was an independent risk factor for misdiagnosis of fibrosis stage using FibroScan. Patients with liver inflammation activity ≥ 2 showed higher LSM values using FibroScan and higher rates of misdiagnosis of fibrosis stage, whereas the diagnostic performance of FibroScan for different fibrosis stages was significantly lower than that in patients with inflammation activity < 2 (all P < 0.05). A non-invasive prediction model was established to assess the risk of misdiagnosis of fibrosis stage using FibroScan, and the AUC was 0.701. CONCLUSION: Liver inflammation was an independent risk factor affecting the diagnostic accuracy of FibroScan for fibrosis stage. A combination of other related non-invasive factors can predict the risk of misdiagnosis of fibrosis staging using FibroScan.

Disparities in mental health, social support and coping among individuals with mobility impairment.

BACKGROUND: CDC estimated that 19.4 million (7.8%) US adults are living with mobility impairment, who are unable to walk a quarter mile. Individuals with physical disability reported greater depression and, in some cases, insufficient social support. OBJECTIVES: This study explores the extent of disparities in psychological health, social support, and coping mechanisms among those with mobility impairment as compared to those without such impairment, and the longitudinal effect of onset of mobility impairment on subsequent psychosocial health and coping. METHODS: Individuals with mobility impairment were matched to controls from a nationally representative sample, using the propensity score method. The final sample included 345 matched pairs. Regression models with robust standard errors were used to assess disparities in outcomes by mobility status. Autoregressive models were used to assess the longitudinal effect of the onset of mobility limitation on these outcomes. RESULTS: Those with impaired mobility fared significantly higher on negative affect (p < .05) and pessimism (p < .05), and significantly lower on life satisfaction (p < .05) and positive affect (p = .001). In terms of coping, they showed disparities in health locus of control (self) (p < .05), planning (p < .05), active coping (p < .05), and problem-focused coping (p < .05), as compared to those without mobility limitation. The onset of mobility impairment had significant effects in similar psychological and coping domains. CONCLUSION: Our work revealed a piece of reality of individuals living with mobility impairment and will inform designing effective interventions to mitigate psychosocial health disparities in this population.