Environmental stress and emotional reactivity: an exploratory experience sampling method study.

Background: Previous studies have shown a relationship between environments and mental health. However, limited studies have investigated the impact of environment stress (ES) on emotional reactivity. Our study aimed to fill this gap by examining how daily ES affects momentary emotional reactivity using experience sampling method (ESM). Methods: Participants were randomly recruited from a prospective cohort study in Hong Kong to participate in a 7-day ESM study. The participants received eight electronic signals daily assessing their ES, positive affect (PA) and negative affect (NA). Participants were categorized into depressed group or control group based on Revised Clinical Interview Schedule. Psychometric properties of the ESM assessment were evaluated. Multilevel linear regression analyzes were conducted to examine the association of ES with PA, NA and the group status of the participants (cases versus controls). Results: A total of 15 participants with depression and 15 healthy controls were recruited, and 1307 momentary assessments were completed with a compliance rate of 77.8%. The depressed group demonstrated a significant increase in NA in response to ES, while the control group showed a decrease in PA. In addition, the depressed group reported a lower perception of control and interaction with their environment compared to the control group. Conclusion: Using ESM, a valid, reliable, and easy-to-use self-reporting tool, our findings provided valuable insights on the potential mechanisms underlying emotional responses to stressful environments.

Prevalence and correlates of depression, anxiety and trauma-like symptoms in Chinese psychiatric patients during the fifth wave of COVID-19 pandemic: a cross-sectional study in Hong Kong.

BACKGROUND: Psychiatric patients are susceptible to adverse mental health outcome during COVID-19 pandemic, but its associated factors are understudied. This observational cross-sectional study aimed to comprehensively examine prevalence and correlates of psychological distress, in terms of depression, anxiety and post-traumatic-stress-disorder (PTSD)-like symptoms, among Chinese adult psychiatric outpatients amidst the peak of fifth COVID-19 wave in Hong-Kong. METHODS: A total of 415 patients (comprising 246 patients with common-mental-disorders [CMD] and 169 with severe-mental-disorders [SMD]) and 399 demographically-matched controls without mental disorders were assessed with self-rated questionnaires between 28-March and 8-April-2022, encompassing illness profile, mental health symptoms, psychosocial measures (loneliness, resilience, coping styles) and COVID-19 related factors. Univariate and multivariable logistic regression analyses were conducted to determine variables associated with moderate-to-severe depressive, anxiety and PTSD-like symptoms among psychiatric patients. RESULTS: Our results showed that CMD patients had the greatest psychological distress relative to SMD patients and controls. Approximately 40-55% CMD patients and 25% SMD patients exhibited moderate-to-severe depression, anxiety and PTSD-like symptoms. Multivariable regression analyses revealed that female gender, lower educational attainment, single marital status, being housewife, more severe insomnia, psychotic-like symptoms and cognitive complaints, self-harm behavior, lower resilience, avoidance coping, never contracting COVID-19 infection, greater fear of contagion, and longer exposure to pandemic-related information were independently associated with depression, anxiety and/or PTSD-like symptoms in psychiatric patients. CONCLUSIONS: Our results affirm increased vulnerability of psychiatric patients toward psychological distress during pandemic. An array of identified correlates facilitates early detection of high-risk psychiatric patients for targeted strategies to minimize pandemic-related negative psychological impact.

The modulation effect of cognition on mentalization in late-life depression: a study of gaze perception-a potential screening tool for high-risk group of late-life depression.

Introduction: Impairment in mentalization is implicated in the development and maintenance of depression. Major depressive disorders showed significant impairment in social cognition and such impairment appears to be positively associated with the severity of depression. Self-referential gaze perception (SRGP), a measurement of mentalization, was predominantly measured in patients with psychosis but rarely examined in late-life depression (LLD). Methods: To assess the effect of cognition on the interpretation bias of mentalization, 29 LLD patients and 29 healthy controls were asked to judge if various gaze directions were directed to self in SRGP. Results: Patients with better cognition showed less unambiguous-SRGP bias than those with worse cognitive scores; this difference was not found in healthy controls. Global cognition and executive function contributed to the SRGP rate in patients. Conclusion: The current study is the first study to explore the relationship between cognition and SRGP in the LLD population. Our study findings suggested that the cognitive function of LLD patients may contribute to the modulation of interpretation bias, which in turn underlie the role of SRGP bias. Greater SRGP bias in patients may reflect social cognition deterioration, impairing the social interaction and functioning of LLD patients. This highlights the need for early intervention and cognitive decline identification to facilitate better prognosis and treatment effectiveness; thus, further studies could navigate the potential of SRGP task as a screening tool for high-risk group of LLD likely to develop dementia.

Individual and Interactive Effects of Housing and Neighborhood Quality on Mental Health in Hong Kong: A Retrospective Cohort Study.

Existing literature has widely explored the individual roles of housing and neighborhood quality, and there is limited research examining their interactive effects on mental health. This 3-year cohort study utilized a longitudinal design to investigate the individual and interactive effects of housing and neighborhood quality on mental health among 962 community-dwelling adults in Hong Kong. Participants were asked to rate their residential qualities over the 3-year period. Mental health outcomes, including levels of psychological distress and common mental disorders (CMD), were assessed using the Revised Clinical Interview Schedule (CIS-R). Logistic regression and generalized linear models were used to examine the association between housing and neighborhood quality and CMD/psychological distress, adjusting for sociodemographic and residential characteristics and baseline mental disorders. Housing quality was associated with the 3-year CMD (adjusted OR 0.95; 95% CI 0.91 to 0.98). Likewise, neighborhood quality was associated with CMD over 3 years (adjusted OR 0.92; 95% CI 0.87 to 0.96). In a separate model including both quality measures, the effect of housing quality on CMD was attenuated, whereas the neighborhood impact remained significant (adjusted OR 0.92; 95% CI 0.87 to 0.98). Generalized linear models indicated that for participants residing in substandard housing, those with high neighborhood quality had lower CIS-R scores at follow-up compared to those with low neighborhood quality (p = 0.041). Better neighborhood quality alleviated the detrimental effects of poor housing quality on mental health. Planning for an enhanced neighborhood would improve population mental health in an urban environment.

Identifying dementia from cognitive footprints in hospital records among Chinese older adults: a machine-learning study.

Background: By combining theory-driven and data-driven methods, this study aimed to develop dementia predictive algorithms among Chinese older adults guided by the cognitive footprint theory. Methods: Electronic medical records from the Clinical Data Analysis and Reporting System in Hong Kong were employed. We included patients with dementia diagnosed at 65+ between 2010 and 2018, and 1:1 matched dementia-free controls. We identified 51 features, comprising exposures to established modifiable factors and other factors before and after 65 years old. The performances of four machine learning models, including LASSO, Multilayer perceptron (MLP), XGBoost, and LightGBM, were compared with logistic regression models, for all patients and subgroups by age. Findings: A total of 159,920 individuals (40.5% male; mean age [SD]: 83.97 [7.38]) were included. Compared with the model included established modifiable factors only (area under the curve [AUC] 0.689, 95% CI [0.684, 0.694]), the predictive accuracy substantially improved for models with all factors (0.774, [0.770, 0.778]). Machine learning and logistic regression models performed similarly, with AUC ranged between 0.773 (0.768, 0.777) for LASSO and 0.780 (0.776, 0.784) for MLP. Antipsychotics, education, antidepressants, head injury, and stroke were identified as the most important predictors in the total sample. Age-specific models identified different important features, with cardiovascular and infectious diseases becoming prominent in older ages. Interpretation: The models showed satisfactory performances in identifying dementia. These algorithms can be used in clinical practice to assist decision making and allow timely interventions cost-effectively. Funding: The Research Grants Council of Hong Kong under the Early Career Scheme 27110519.

Network analysis on psychopathological symptoms, psychological measures, quality of life and COVID-19 related factors in Chinese psychiatric patients in Hong Kong.

BACKGROUND: Psychiatric patients are susceptible to adverse mental health impacts during COVID-19, but complex interplays between psychopathology and pandemic-related variables remain elusive. This study aimed to investigate concomitant associations between psychopathological symptoms, psychological measures and COVID-19 related variables in Chinese psychiatric patients during the peak of fifth pandemic wave in Hong Kong. METHODS: We employed network analysis to investigate inter-relationships among psychopathological symptoms (including depression, anxiety, post-traumatic stress disorder-like [PTSD-like] symptoms, insomnia, psychotic symptoms), cognitive complaints, health-related quality of life, loneliness, resilience and selected pandemic-related factors in 415 psychiatric outpatients between 28 March and 8 April, 2022. Network comparisons between genders, diagnosis (common mental disorders [CMD] vs. severe mental disorders [SMD]), and history of contracting COVID-19 at fifth wave were performed as exploratory analyses. RESULTS: Our results showed that anxiety represented the most central node in the network, as indicated by its highest node strength and expected influence, followed by depression and quality of life. Three comparatively strong connections between COVID-19 and psychopathological variables were observed including: fear of contagion and PTSD-like symptoms, COVID-19 stressor burden and PTSD-like symptoms, and COVID-19 stressor burden and insomnia. Network comparison tests revealed significant network structural difference between participants with history of contracting COVID-19 and those without, but showed no significant difference between genders as well as between CMD and SMD patients. CONCLUSIONS: Our findings suggest the pivotal role of anxiety in psychopathology network of psychiatric patients amidst COVID-19. Pandemic-related variables are critically associated with trauma/stress and insomnia symptoms. Future research is required to elucidate potential network structural changes between pandemic and post-COVID periods.

Relationships between psychopathological symptoms, pandemic-related stress, perceived social support, and COVID-19 infection history: a network analysis in Chinese college students.

Introduction: Previous coronavirus, 2019 (COVID-19) research has applied network analysis to examine relationships between psychopathological symptoms but rarely extended to potential risk and protective factors or the influence of COVID-19 infection history. This study examined complex inter-relationships between psychopathological symptoms, COVID-19-related stressors, perceived social support, and COVID-19 infection history among Chinese university/college students during the peak of fifth pandemic wave using a network analysis approach. Methods: A Least Absolute Shrinkage and Selection Operator-regularized partial correlation network using Gaussian graphical model was constructed in 1,395 Chinese university/college students in Hong Kong who completed a survey between 15 March and 3 April, 2022. Depressive, anxiety, and acute/traumatic stress symptoms were measured by Patient Health Questionnaire-9, Generalized Anxiety Disorder-7, and Impact of Event Scale-6, respectively. COVID-19-related stressors and perceived social support were measured. Network differences by COVID-19 infection history (COVID-network vs. no_COVID-network) and network communities were examined. Results: Our results showed that the most influential nodes were depressed mood, uncontrollable worries, and uncontrollable thoughts about COVID-19. The main bridging symptoms were concentration problems and psychomotor problems. The COVID-network, comprising participants with a history of COVID-19 infection only, was significantly stronger than the no_COVID-network. Perceived social support and stress from conflicts with family/friends formed a unique community with negative cognition and suicidal idea in the COVID-network only. Conclusion: Our findings indicate that specific interventions targeting interpersonal conflicts and concentration problems as well as facilitating stress buffering effects of social support may represent effective strategies to reduce psychological distress in university/college students during COVID-19 and should be considered for future pandemic preparedness.

Prevalence and correlates of subjective cognitive impairment in Chinese psychiatric patients during the fifth wave of COVID-19 in Hong Kong.

Introduction: The extent of cognitive impairment and its association with psychological distress among people with pre-existing mental illness during COVID-19 is understudied. This study aimed to investigate prevalence and correlates of subjective cognitive impairment (SCI) in Chinese psychiatric patients during fifth-wave of COVID-19 in Hong Kong (HK). Methods: Four-hundred-eight psychiatric outpatients aged 18-64 years were assessed with questionnaires between 28 March and 8 April 2022, encompassing illness profile, psychopathological symptoms, coping-styles, resilience, and COVID-19 related factors. Participants were categorized into moderate-to-severe and intact/mild cognitive impairment (CI+ vs. CI-) groups based on severity of self-reported cognitive complaints. Univariate and multivariate regression analyses were conducted to determine variables associated with CI+ status. Results: One-hundred-ninety-nine participants (48.8%) experienced CI+. A multivariate model on psychopathological symptoms found that depressive and post-traumatic-stress-disorder (PTSD)-like symptoms were related to CI+, while a multivariate model on coping, resilience and COVID-19 related factors revealed that avoidant coping, low resilience and more stressors were associated with CI+. Final combined model demonstrated the best model performance and showed that more severe depressive and PTSD-like symptoms, and adoption of avoidant coping were significantly associated with CI+. Conclusion: Almost half of the sample of psychiatric patients reported cognitive complaints during fifth-wave of COVID-19 in HK. Greater depressive and PTSD-like symptom severity, and maladaptive (avoidant) coping were found as correlates of SCI. COVID-19 related factors were not independently associated with SCI in psychiatric patients. Early detection with targeted psychological interventions may therefore reduce psychological distress, and hence self-perceived cognitive difficulties in this vulnerable population.

The prevalence and correlates of suicidal ideation in Chinese psychiatric patients during the fifth wave of COVID-19 in Hong Kong.

People with mental disorders have increased risk of psychological distress during COVID-19. However, there is limited research comprehensively examining factors associated with suicidal ideation, the strongest predictor of suicidal behavior, among psychiatric patients amidst pandemic. We investigated prevalence and correlates of suicidal ideation in 407 Chinese psychiatric outpatients (diagnosed with mood, anxiety or schizophrenia-spectrum disorders) aged 18-64 years during the peak of fifth COVID-19 wave in Hong Kong between 28 March and 8 April, 2022, based on a comprehensive array of variables encompassing socio-demographics, illness profile, psychopathological symptoms, psychological measures and pandemic-related factors. Univariate and multivariate logistic regression analyses were conducted to determine correlates of suicidal ideation. Results showed that 128 (31.4%) participants exhibited suicidal ideation. Univariate analyses revealed that being unemployed or full-time student, more severe depressive, anxiety, PTSD-like, insomnia and psychotic symptoms, higher levels of loneliness, avoidant-coping, greater pandemic-related stress burden and distress by social-distancing measures were related to suicidal ideation. Conversely, participants with higher monthly household-income, better quality-of-life, and greater resilience were less likely to have suicidal ideation. Notably, only depressive symptom severity was retained in final multivariate model as a factor significantly associated with suicidal ideation. Hence, we observed that approximately one-third of Chinese psychiatric patients experienced suicidal ideation during fifth pandemic wave. Our findings underscore the influence of depressive symptoms being above and beyond that of other psychopathological symptoms, psychological and pandemic-related variables on suicidal ideation. Longitudinal research is required to clarify suicidal ideation trajectories and predictors of persistent suicidal ideation across pandemic and post-pandemic periods.

Transcranial pulse stimulation in the treatment of mild neurocognitive disorders.

OBJECTIVE: There are limited effectiveness and potential side effects of existing pharmacological approach in treating mild neurocognitive disorder (NCD). Transcranial pulse stimulation (TPS) applies repetitive single high-pressure ultrashort shockwave pulses to stimulate the brain, which has been shown to effectively improve cognition in major NCD. However, the effectiveness of TPS in mild NCD patients remained unknown. This study aims to assess the effectiveness and tolerability of TPS with neuro-navigation in old-age adults with mild NCD by both clinical and biochemical assessments. METHODS: An open-label study recruited older adults with mild NCD to receive neuro-navigated TPS intervention for two weeks with three sessions per week. Assessments included detailed cognitive assessments, APOE genotype, and brain-derived neurotrophic factor (BDNF). RESULTS: Nineteen participants (12 females and 7 males) completed the whole TPS interventions with no serious adverse effects reported. Repeated measures ANOVA showed statistically significant effects of time on HK-MoCA (F (3, 54) = 4.99, P = 0.004), 30-sec interval of Verbal Fluency Test (F (3, 54) = 2.94, P = 0.041), Stroop interference (F (3, 54) = 3.46, P = 0.023), and Chinese IADL (F (3, 54) = 2.78, P = 0.050) after receiving the intervention. Bonferroni post hoc comparisons on HK-MoCA showed a significant improvement after intervention. There was no significant change in serum BDNF level. INTERPRETATION: TPS has brought significant improvement in cognition of elderly with mild NCD. It has a great potential to delay the deterioration of cognition in older adults. The long-term effect of TPS in cognition would benefit from further large-scale, randomized, sham-controlled trials.

COVID-19 perseverative cognition and depressive symptoms in Hong Kong: The moderating role of resilience, loneliness and coping strategies.

BACKGROUND: The COVID-19 pandemic significantly increased depression prevalence in general population. However, the relationship between persistent dysfunctional thinking associated with COVID-19 (perseverative-cognition) and depression, and its potential moderators are understudied. We aimed to examine the association between COVID-19 perseverative-cognition and depression, and the moderating effect of potential risk and protective factors on this association in general public during the peak of fifth COVID-19 wave in Hong Kong. METHODS: This survey recruited 14,269 community-dwelling adults between March 15-April 3, 2022 to investigate association between COVID-19 perseverative-cognition and depression, and the moderating effect of resilience, loneliness and three coping strategies (including emotion-focused, problem-focused and avoidant coping) on this association, using hierarchical regression models and simple slope analyses. COVID-19 perseverative cognition was assessed by the Obsession with COVID-19 Scale (OCS) and depressive symptoms were measured by the Patient Health Questionnaire-9 (PHQ-9). RESULTS: Perseverative-cognition was positively associated with depression severity. Resilience, loneliness and three coping strategies moderated the association between perseverative-cognition and depression. Specifically, greater resilience and emotion-focused coping ameliorated the association between perseverative-cognition and depression, while higher levels of loneliness, avoidant and problem-focused coping accentuated such association. LIMITATIONS: Cross-sectional design precluded establishing causality among variables. CONCLUSION: This study affirms that COVID-19 perseverative-cognition is significantly related to depression. Our findings indicate the potential critical role of enhanced personal resilience and social support, and adoption of emotion-focused coping in mitigating negative effect of COVID-19 related maladaptive thinking on depression severity, thereby facilitating development of targeted strategies to reduce psychological distress amidst the prolonged pandemic.

Traditional Chinese medicine-based integrated health interventions for depression: A systematic review and meta-analysis.

BACKGROUND: Some traditional Chinese medicine (TCM)-based integrated health interventions have been used for depression, but pooled efficacy remains unknown. AIMS AND OBJECTIVES: This study aimed to systematically evaluate the efficacy of TCM-based integrated health interventions for relieving depression. DESIGN: Systematic review and meta-analysis. METHODS: A comprehensive literature search was conducted on 17 databases from inception up to June 2022. Randomised controlled trials (RCTs) that examined an integrated health intervention based on TCM theory for depression were included. The risk of bias was assessed using the second version of the Cochrane risk-of-bias tool for randomised trials, and the quality of evidence was evaluated using the Grading of Recommendations, Assessment, Development and Evaluation system. RESULTS: Eighteen RCTs with a total of 1448 depressed participants were included. Health care providers, mainly nurses (14 studies), implemented TCM-based integrated health interventions. The pooled results showed that TCM-based integrated health interventions had larger effects on reducing depressive symptoms (15 studies; standardised mean difference = -2.05; 95% CI: -2.74, -1.37; p < .00001) compared with usual care at posttreatment but showed no significant difference contrasted to cognitive behavioural therapy (two studies, p = .31). However, the overall evidence was low. CONCLUSIONS: The meta-analysis results indicated that TCM-based integrated health interventions were effective in reducing depression. However, the results should be interpreted with caution because of the low quality of the included studies. Future RCTs with rigorous designs should be conducted to provide robust evidence of the efficacy of TCM-based integrated health interventions in treating depression. RELEVANCE TO CLINICAL PRACTICE: TCM-based integrated health interventions might be a potentially effective alternative for depression. Nurses could play an important role in designing and providing TCM-based integrated nursing interventions for patients with depression. NO PATIENT OR PUBLIC CONTRIBUTION: This is a systematic review and meta-analysis based on data from previous studies.

The effectiveness of a psychoeducational intervention on health outcomes of patients undergoing haemodialysis: A randomized controlled trial.

AIM: The aim of this work is to examine the effectiveness of a psychoeducational intervention on self-efficacy (primary outcome), anxiety, depression, treatment adherence, and health-related quality of life (HRQoL) of patients undergoing haemodialysis. METHODS: A two-group randomized controlled trial of 124 patients (65 and 59 patients in the intervention and control groups, respectively) recruited from a tertiary hospital in Singapore was conducted. Data were collected from January 2015 to June 2016. Outcomes were measured at baseline and 1, 3, and 6 months after the intervention. General linear model was used to analyse data. RESULTS: Our findings showed significant group effect on HRQoL (effects of kidney disease on daily life; p = 0.041), time effect on all outcomes (p < 0.05; except for treatment adherence behaviours and HRQoL [burden of kidney disease]), and group * time interaction effect on anxiety (p = 0.040) and depression (p = 0.003), with the intervention group reporting better outcomes. CONCLUSIONS: The positive effects of our intervention on patients' self-efficacy, psychological well-being, treatment adherence attitudes, and HRQoL implied its potential use in dialysis/renal centres to improve patients' self-care and health outcomes.

Prevalence and correlates of suicidal ideation in the general public during the fifth wave of COVID-19 pandemic in Hong Kong.

Introduction: Literature reveals increased suicidal ideation in the general population during pandemic. However, few COVID-19 studies comprehensively assessed factors associated with suicidal ideation, and mixed findings were observed. We aimed to examine prevalence and correlates of suicidal ideation in general public during the peak of fifth COVID-19 wave in Hong Kong based on a broad array of relevant measures. Methods: This survey assessed 14,709 community-dwelling adults during March 15-April 3, 2022. Comprehensive assessment was administered including socio-demographics, pre-existing mental/physical morbidity, mental-health symptoms, resilience, loneliness, coping strategies, and pandemic-related factors. Presence of suicidal ideation was evaluated by ratings of item 9 on Patient-Health-Questionnaire-9. Results: A total of 2,249 (15.3%) participants exhibited suicidal ideation. Multivariable-regression analysis found that being single and unemployed, pre-existing mental disorder, more severe depressive and anxiety symptoms, higher levels of loneliness and engagement in avoidant coping were significantly associated with suicidal ideation. Conversely, attaining tertiary educational level or above, greater resilience and adopting problem-focused coping were associated with lower likelihood of suicidal ideation. Although univariate-analyses revealed that a number of pandemic-related factors were linked to suicidal ideation, none remained significant in the multivariable model. Conclusion: A significant proportion of people experienced suicidal ideation during the peak of fifth COVID-19 wave. Risk and protective factors identified would facilitate early identification of high-risk individuals and provision of targeted interventions to minimize suicidal ideation and risk of self-harm. Caution should be exercised due to study limitations of a cross-sectional design which precluded establishing causality among variables, and reliance on self-reported data.

High-definition transcranial direct current stimulation (HD-tDCS) as augmentation therapy in late-life depression (LLD) with suboptimal response to treatment-a study protocol for a double-blinded randomized sham-controlled trial.

BACKGROUND: Late-life depression (LLD) has a poorer prognosis and higher relapse rate than younger adults, with up to one third of patients with LLD showing suboptimal response to antidepressant therapy. LLD has been associated with significant impairment in cognition and daily functioning. Few studies have evaluated the therapeutic effects of high-definition transcranial direct current stimulation (HD-tDCS) on depressive and cognitive symptoms of LLD. The current randomized controlled trial assesses the efficacy of HD-tDCS as an augmentation therapy with antidepressants compared to sham-control in subjects with LLD. METHODS: Fifty-eight patients with LLD will be recruited and randomly assigned to the active HD-tDCS or sham HD-tDCS group. In both groups, patients will receive the active or sham intervention in addition to their pre-existing antidepressant therapy, for 2 weeks with 5 sessions per week, each lasting 30 min. The primary outcome measures will be the change of depressive symptoms, clinical response and the remission rate as measured with the Hamilton Depression Rating scale (HAMD-17) before and after the intervention, and at the 4th and 12th week after the completed intervention. Secondary outcome measures include cognitive symptoms, anxiety symptoms, daily functioning and adverse effects.  DISCUSSION: Older adults with depression are associated with poorer outcomes or unsatisfactory responses to antidepressant therapy, and significant cognitive decline. Therefore, a new effective treatment option is needed. This randomized control trial aims at assessing the efficacy of HD-tDCS on ameliorating the depressive, cognitive and anxiety symptoms, and improving the daily functioning of subjects with LLD. TRIAL REGISTRATION: ClinicalTrials.gov NCT05322863. Registered on 11 April 2022.

The effects of an integrated mindfulness-based tai chi chuan programme on sleep disturbance among community-dwelling elderly people: protocol for a randomized controlled trial.

BACKGROUND: Many elderly individuals who experience sleep disturbances would consider complementary and alternative medicine as an alternative therapeutic option in light of the limitations of traditional treatments. Mindfulness-based interventions (MBIs) and Tai Chi Chuan (TCC) are two alternative forms of complementary and alternative medicine. They both share the common feature of a focus on breathing but represent distinct approaches with different mechanisms and philosophical orientations. The trial described in this protocol aims to evaluate the effects of an integrated form of mindfulness-based Tai Chi Chuan (MBTCC) programme and the underlying mechanisms of the beneficial effects over a 12-month follow-up. METHODS: The planned study is a four-armed randomized controlled trial with repeated measures. A total of 256 community-dwelling older adults with sleep problems will be recruited and randomized into four groups: (1) an MBTCC group, (2) an MBI group, (3) a TCC group, and (4) a sleep hygiene education (SHE) control group. The outcome measures in terms of insomnia severity, interoception, sleep-wake pattern, health status, rumination, and hyperarousal level will be collected at four time points: at baseline (T1), after the 8-week intervention (T2), 6 months after the intervention (T3), and 1 year after the intervention (T4). In addition, qualitative evaluation through focus group interviews will be conducted at the end of the 12-month assessment period (T4). DISCUSSION: This trial will illuminate the synergetic effect of combining both MBIs and TCC on optimizing improvements in sleep disturbance. The findings from this study can provide empirical support for this integrated treatment, which provides an alternative for healthcare professionals in elderly service to select appropriate practices to treat elderly people with sleep disturbance. It can further help to lessen the growing public health burden of sleep disturbances among the elderly living in the community. TRIAL REGISTRATION: ClinicalTrials.gov . NCT05396092 . Published on 24 May 2022.

Inequalities in Psychiatric Morbidity in Hong Kong and Strategies for Mitigation.

This study explores the social gradient of psychiatric morbidity. The Hong Kong Mental Morbidity Survey (HKMMS), consisting of 5719 Chinese adults aged 16 to 75 years, was used. The Chinese version of the Revised Clinical Interview Schedule (CIS-R) was employed for psychiatric assessment of common mental disorders (CMD). People with a less advantaged socioeconomic position (lower education, lower household income, unemployment, small living area and public rental housing) had a higher prevalence of depression and anxiety disorder. People with lower incomes had worse physical health (OR 2.01, 95% CI 1.05-3.82) and greater odds of having CMD in the presence of a family history of psychiatric illnesses (OR 1.67, 95% CI 1.18-2.36). Unemployment also had a greater impact for those in lower-income groups (OR 2.67; 95% CI 1.85-3.85), whereas no significant association was observed in high-income groups (OR 0.56; 95% CI 0.14-2.17). Mitigating strategies in terms of services and social support should target socially disadvantaged groups with a high risk of psychiatric morbidity. Such strategies include collaboration among government, civil society and business sectors in harnessing community resources.

Specific Amino Acid Substitutions in OXA-51-Type ß-Lactamase Enhance Catalytic Activity to a Level Comparable to Carbapenemase OXA-23 and OXA-24/40.

The chromosomal blaOXA-51-type gene encodes carbapenem-hydrolyzing class D ß-lactamases (CHDLs), specific variants shown to mediate carbapenem resistance in the Gram-negative bacterial pathogen Acinetobacter baumannii. This study aims to characterize the effect of key amino acid substitutions in OXA-51 variants of carbapenem-hydrolyzing class D ß-lactamases (CHDLs) on substrate catalysis. Mutational and structural analyses indicated that each of the L167V, W222G, or I129L substitutions contributed to an increase in catalytic activity. The I129L mutation exhibited the most substantial effect. The combination of W222G and I129L substitutions exhibited an extremely strong catalytic enhancement effect in OXA-66, resulting in higher activity than OXA-23 and OXA-24/40 against carbapenems. These findings suggested that specific arrangement of residues in these three important positions in the intrinsic OXA-51 type of enzyme can generate variants that are even more active than known CHDLs. Likewise, mutation leading to the W222M change also causes a significant increase in the catalytic activity of OXA-51. blaOXA-51 gene in A. baumannii may likely continue to evolve, generating mutant genes that encode carbapenemase with extremely strong catalytic activity.