Psychometric properties and moderated mediation analysis of the ICIQ-NQOL in Chinese primary care patients with nocturia.

BACKGROUND: Many individuals consider nocturia a significant nuisance, leading to a reduced health-related quality of life (HRQOL). However, there has been a lack of psychometrically sound patient-reported outcome measures to assess the impact of nocturia on patients in Chinese contexts. This study aimed to translate, culturally adapt, and validate the International Consultation on Incontinence Questionnaire Nocturia Quality of Life Module (ICIQ-NQOL) for use among primary care patients in Hong Kong, China. Additionally, it sought to investigate the mechanisms that link nocturia and sleep quality with HRQOL by employing moderated mediation analysis. METHODS: The traditional Chinese version of the ICIQ-NQOL was developed through iterative translations, cognitive debriefing interviews, and panel reviews. The psychometric evaluation included assessments of factor structure, convergent validity, concurrent validity, known-group validity, internal consistency, test-retest reliability and responsiveness. Study instruments included the ICIQ-NQOL, International Prostate Symptom Score (IPSS), Pittsburgh Sleep Quality Index (PSQI), and a modified Incontinence Impact Questionnaire-Short Form (IIQ-7). RESULTS: A total of 419 primary care patients were recruited from general outpatient clinics, among whom 228 experiencing an average of two or more nocturia episodes per night over the past four weeks. Confirmatory factor analysis supported the two-factor structure of the ICIQ-NQOL. Concurrent validity was confirmed by moderate correlations between the IIQ-7 total score and the total score as well as two domain scores of the ICIQ-NQOL (r ranging from 0.43 to 0.49, all p < 0.001). The ICIQ-NQOL also had moderate correlations with the IPSS total symptom score (r ranging from 0.40 to 0.48, all p < 0.001). Convergent validity was supported by moderate correlations between the global PSQI score and the total score as well as two domain scores of the ICIQ-NQOL (r ranging from 0.42 to 0.52, all p < 0.001). Known-group comparisons showed that the ICIQ-NQOL could differentiate between patients with and without nocturia in terms of sleep/energy domain score (p < 0.001), bother/concern domain score (p < 0.001), and total score (p < 0.001), each demonstrating a moderate Cohen's d effect size. Item-total correlations corrected for overlap exceeded 0.4, and Cronbach's alpha coefficients were greater than 0.7. Test-retest reliability was confirmed with intraclass correlation coefficients exceeding 0.7 among patients reporting no change in their nocturia symptoms at a 2-week follow-up. Regarding responsiveness, the Cohen's d effect sizes for differences in domain and total scores between the baseline and 2-week follow-up assessments were greater than 0.3 among patients showing improvement in nocturia. Our moderated mediation analysis indicated that sleep quality significantly moderated the impact of nocturia on HRQOL, with a notably stronger indirect effect among females compared to males. CONCLUSIONS: The ICIQ-NQOL is a reliable and valid instrument for assessing the HRQOL in primary care patients suffering from nocturia. The findings advocate for gender-specific approaches in the management and treatment of nocturia to optimize HRQOL.

The Chinese version of patient experience with treatment and self-management (PETS vs. 2.0): translation and validation in patients with multimorbidity in primary care in Hong Kong.

BACKGROUND: Validated and comprehensive tools to measure treatment burden are needed for healthcare professionals to understand the treatment burden of patients in China. The study aimed to translate and validate the Chinese version of Patient Experience with Treatment and Self-management (PETS vs. 2.0) in patients with multimorbidity in primary care. METHODOLOGY: The translation process of the 60-item PETS vs. 2.0 followed the Functional Assessment of Chronic Illness Therapy (FACIT) Translation, Formatting, and Testing Guidelines. Computer-assisted assessments were conducted in adult primary care patients with multimorbidity from three general out-patient clinics in Hong Kong. A sample of 502 patients completed the assessments from July to December 2023. Internal reliability was examined using Cronbach's alphas for each domain of the PETS vs. 2.0. Concurrent validity was assessed through the correlations between different domains of PETS vs. 2.0 with established measures including quality of life, frailty, and depression. Confirmatory Factor Analysis (CFA) with maximum likelihood method was carried out to assess the construct validity. RESULTS: The mean age of participants was 64.9 years old and 56.2% were female. Internal consistency reliability was acceptable (alpha ≥ 0.70) for most domains. Higher scores of PETS domains were significantly correlated with worse quality of life, higher level of frailty, and more depressive symptoms (p < 0.05). In CFA, after setting the covariances on the error variances, the adjusted model revealed an acceptable model fit (χ2/df = 1.741; root mean square error of approximation (RMSEA) = 0.038; standardized root mean square residual (SRMR) = 0.058; comparative fit index (CFI) = 0.911; Tucker-Lewis Index (TLI) = 0.903). All standardized factor loadings were 0.30 or above. Significant positive correlations between the latent factors were found for all factor pairs (correlation coefficient < 0.8). CONCLUSIONS: The Chinese version of PETS vs. 2.0 is a reliable and valid tool for assessing the perceived treatment burden in patients with multimorbidity in primary care. All domains and items in the original questionnaires were retained.

Excess risks of long COVID symptoms compared with identical symptoms in the general population: A systematic review and meta-analysis of studies with control groups.

Background: It is important to understand the excess risks of symptoms of long COVID when compared to the same symptoms in the general population. We aimed to evaluate the association between coronavirus disease 2019 (COVID-19) infection and various long-term symptoms. Methods: We conducted a systematic review and meta-analysis of studies measuring long COVID symptoms lasting for at least three months after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in comparison to non-COVID-19 control groups. We searched MEDLINE and Embase (via Ovid), CINAHL (via EBSCOhost), the ProQuest Coronavirus Research Database, and the World Health Organization COVID-19 Research Database for relevant literature on 14 February 2023. The symptom list had 10 categories with 29 symptoms, including general, neurologic, respiratory, cardiac, dermatologic, eye, ear, musculoskeletal, psychiatric, and gastrointestinal symptoms. We performed random-effects meta-analysis and summarised the results using odds ratios (OR) and 95% confidence intervals (CI), after which we conducted subgroup analyses. Results: We included 51 studies with 17 901 204 participants (range of mean age: 5.9-65.4 years; range of proportion of women: 11.2-96.0%). In the primary analysis, participants with COVID-19 had a significantly higher risk of having at least one long COVID symptom (OR = 2.032; 95% CI = 1.787-2.310). Specifically, they had higher risks of 25 symptoms, the highest of which were for smell (OR = 8.474; 95% CI = 6.357-11.295), taste (OR = 5.881; 95% CI = 3.818-9.059), post-exertional malaise (OR = 3.187; 95% CI = 2.602-3.904), shortness of breath (OR = 2.497; 95% CI = 2.125-2.935), brain fog (OR = 2.093; 95% CI = 1.362-3.218), hair loss (OR = 2.082; 95% CI = 1.291-3.358), chest pain (OR = 2.056; 95% CI = 1.692-2.498), cognitive decline (OR = 1.992; 95% CI = 1.560-2.544), palpitations (OR = 1.986; 95% CI = 1.647-2.395), and fatigue (OR = 1.971; 95% CI = 1.781-2.182). We found significant differences between studies with different follow-up times in cognitive decline, dizziness, palpitations, and sleep problems (P < 0.05). Adults had significantly higher risks of cognitive decline, hair loss, and joint pain than children (P < 0.05). Conclusions: We found that COVID-19 can significantly increase the risk of many long COVID symptoms, without differences due to gender, age, or decrease over time after three months post-infection. This highlights that services and interventions for long COVID symptoms are needed. Registration: PROSPERO (CRD42023409847).

The relationship between dietary sugar consumption and anxiety disorders: A systematic review.

High-sugar intake is a risk factor for chronic diseases such as cardiovascular disease and type 2 diabetes, but less is known about its role in anxiety disorders. This systematic review aimed to systematically synthesise and assess the existing evidence regarding the association between dietary sugars intake and anxiety disorders. Following PRISMA guidelines, a systematic search of PubMed, MEDLINE, Embase, APA PsycArticles and APA PsycINFO was conducted up to 19th August 2022. Study quality was assessed by the Newcastle-Ottawa scale (NOS) and the Cochrane risk of bias tool. Eleven studies (10 cross-sectional and 1 randomised controlled trial [RCT]) were included. Seven cross-sectional studies had very good quality or good quality, and the quality of the RCT was at low risk of bias. These studies examined sugar-sweetened beverages (n = 7), sugar-sweetened foods (n = 4) and/or added sugar (n = 5). The findings suggest a possible positive relationship of added sugar consumption with anxiety disorders, with age as a potential moderator in such association. No conclusions can be drawn on the associations between sugar-sweetened beverages, sugar-sweetened foods consumption and anxiety disorders. Due to the included studies being mostly cross-sectional, the conclusions drawn from the existing evidence should be interpreted with caution. The longitudinal design is warranted to investigate any causal relationship and the potential mechanisms underlying these heterogeneous results. The potential difference in effect at different ages observed in this review should be further examined.

The Effect of Walking on Depressive and Anxiety Symptoms: Systematic Review and Meta-Analysis.

Background: Previous literature lacks summative information on the mental health benefits achieved from different forms of walking. Objective: The aim of this study was to assess the effectiveness of different forms of walking in reducing symptoms of depression and anxiety. Methods: This was a systematic review and meta-analysis of randomized controlled trials (RCTs) assessing the effects of walking on depressive and anxiety symptoms. MEDLINE, Cochrane Central Register of Controlled Trials (CENTRAL), Embase, PsycINFO, Allied and Complementary Medicine Database (AMED), CINAHL, and Web of Science were searched on April 5, 2022. Two authors independently screened the studies and extracted the data. Random-effects meta-analysis was used to synthesize the data. Results were summarized as standardized mean differences (SMDs) with 95% CIs in forest plots. The risk of bias was assessed by using the Cochrane Risk of Bias tool. Results: This review included 75 RCTs with 8636 participants; 68 studies reported depressive symptoms, 39 reported anxiety symptoms, and 32 reported both as the outcomes. One study reported the results for adolescents and was not included in the meta-analysis. The pooled results for adults indicated that walking could significantly reduce depressive symptoms (RCTs: n=44; SMD -0.591, 95% CI -0.778 to -0.403; I2=84.8%; τ2=0.3008; P<.001) and anxiety symptoms (RCTs: n=26; SMD -0.446, 95% CI -0.628 to -0.265; I2=81.1%; τ2=0.1530; P<.001) when compared with the inactive controls. Walking could significantly reduce depressive or anxiety symptoms in most subgroups, including different walking frequency, duration, location (indoor or outdoor), and format (group or individual) subgroups (all P values were <.05). Adult participants who were depressed (RCTs: n=5; SMD -1.863, 95% CI -2.764 to -0.962; I2=86.4%; τ2=0.8929) and those who were not depressed (RCTs: n=39; SMD -0.442, 95% CI -0.604 to -0.280; I2=77.5%; τ2=0.1742) could benefit from walking effects on their depressive symptoms, and participants who were depressed could benefit more (P=.002). In addition, there was no significant difference between walking and active controls in reducing depressive symptoms (RCTs: n=17; SMD -0.126, 95% CI -0.343 to 0.092; I2=58%; τ2=0.1058; P=.26) and anxiety symptoms (14 RCTs, SMD -0.053, 95% CI -0.311 to 0.206, I2=67.7%, τ2=0.1421; P=.69). Conclusions: Various forms of walking can be effective in reducing symptoms of depression and anxiety, and the effects of walking are comparable to active controls. Walking can be adopted as an evidence-based intervention for reducing depression and anxiety. More evidence on the effect of low-intensity walking is needed in the future.

Population Behavior Changes Underlying Phasic Shifts of SARS-CoV-2 Exposure Settings Across 3 Omicron Epidemic Waves in Hong Kong: Prospective Cohort Study.

BACKGROUND: Exposure risk was shown to have affected individual susceptibility and the epidemic spread of COVID-19. The dynamics of risk by and across exposure settings alongside the variations following the implementation of social distancing interventions are understudied. OBJECTIVE: This study aims to examine the population's trajectory of exposure risk in different settings and its association with SARS-CoV-2 infection across 3 consecutive Omicron epidemic waves in Hong Kong. METHODS: From March to June 2022, invitation letters were posted to 41,132 randomly selected residential addresses for the recruitment of households into a prospective population cohort. Through web-based monthly surveys coupled with email reminders, a representative from each enrolled household self-reported incidents of SARS-CoV-2 infections, COVID-19 vaccination uptake, their activity pattern in the workplace, and daily and social settings in the preceding month. As a proxy of their exposure risk, the reported activity trend in each setting was differentiated into trajectories based on latent class growth analyses. The associations of different trajectories of SARS-CoV-2 infection overall and by Omicron wave (wave 1: February-April; wave 2: May-September; wave 3: October-December) in 2022 were evaluated by using Cox proportional hazards models and Kaplan-Meier analysis. RESULTS: In total, 33,501 monthly responses in the observation period of February-December 2022 were collected from 5321 individuals, with 41.7% (2221/5321) being male and a median age of 46 (IQR 34-57) years. Against an expanding COVID-19 vaccination coverage from 81.9% to 95.9% for 2 doses and 20% to 77.7% for 3 doses, the cumulative incidence of SARS-CoV-2 infection escalated from <0.2% to 25.3%, 32.4%, and 43.8% by the end of waves 1, 2, and 3, respectively. Throughout February-December 2022, 52.2% (647/1240) of participants had worked regularly on-site, 28.7% (356/1240) worked remotely, and 19.1% (237/1240) showed an assorted pattern. For daily and social settings, 4 and 5 trajectories were identified, respectively, with 11.5% (142/1240) and 14.6% (181/1240) of the participants gauged to have a high exposure risk. Compared to remote working, working regularly on-site (adjusted hazard ratio [aHR] 1.47, 95% CI 1.19-1.80) and living in a larger household (aHR 1.12, 95% CI 1.06-1.18) were associated with a higher risk of SARS-CoV-2 infection in wave 1. Those from the highest daily exposure risk trajectory (aHR 1.46, 95% CI 1.07-2.00) and the second highest social exposure risk trajectory (aHR 1.52, 95% CI 1.18-1.97) were also at an increased risk of infection in waves 2 and 3, respectively, relative to the lowest risk trajectory. CONCLUSIONS: In an infection-naive population, SARS-CoV-2 transmission was predominantly initiated at the workplace, accelerated in the household, and perpetuated in the daily and social environments, as stringent restrictions were scaled down. These patterns highlight the phasic shift of exposure settings, which is important for informing the effective calibration of targeted social distancing measures as an alternative to lockdown.

Genome of tropical bed bug Cimex hemipterus (Cimicidae, Hemiptera) reveals tetraspanin expanded in bed bug ancestor.

Cimex species are ectoparasites that exclusively feed on warm-blooded animals such as birds and mammals. Three cimicid species are known to be persistent pests for humans, including the tropical bed bug Cimex hemipterus, common bed bug Cimex lectularius, and Eastern bat bug Leptocimex boueti. To date, genomic information is restricted to the common bed bug C. lectularius, which limits understanding their biology and to provide controls of bed bug infestations. Here, a chromosomal-level genome assembly of C. hemipterus (495 Mb [megabase pairs]) contained on 16 pseudochromosomes (scaffold N50 = 34 Mb), together with 9 messenger RNA and small RNA transcriptomes were obtained. In comparison between hemipteran genomes, we found that the tetraspanin superfamily was expanded in the Cimex ancestor. This study provides the first genome assembly for the tropical bed bug C. hemipterus, and offers an unprecedented opportunity to address questions relating to bed bug infestations, as well as genomic evolution to hemipterans more widely.

Precision Medicine to Redefine Insulin Secretion and Monogenic Diabetes-Randomized Controlled Trial (PRISM-RCT) in Chinese patients with young-onset diabetes: design, methods and baseline characteristics.

INTRODUCTION: We designed and implemented a patient-centered, data-driven, holistic care model with evaluation of its impacts on clinical outcomes in patients with young-onset type 2 diabetes (T2D) for which there is a lack of evidence-based practice guidelines. RESEARCH DESIGN AND METHODS: In this 3-year Precision Medicine to Redefine Insulin Secretion and Monogenic Diabetes-Randomized Controlled Trial, we evaluate the effects of a multicomponent care model integrating use of information and communication technology (Joint Asia Diabetes Evaluation (JADE) platform), biogenetic markers and patient-reported outcome measures in patients with T2D diagnosed at ≤40 years of age and aged ≤50 years. The JADE-PRISM group received 1 year of specialist-led team-based management using treatment algorithms guided by biogenetic markers (genome-wide single-nucleotide polymorphism arrays, exome-sequencing of 34 monogenic diabetes genes, C-peptide, autoantibodies) to achieve multiple treatment goals (glycated hemoglobin (HbA1c) <6.2%, blood pressure <120/75 mm Hg, low-density lipoprotein-cholesterol <1.2 mmol/L, waist circumference <80 cm (women) or <85 cm (men)) in a diabetes center setting versus usual care (JADE-only). The primary outcome is incidence of all diabetes-related complications. RESULTS: In 2020-2021, 884 patients (56.6% men, median (IQR) diabetes duration: 7 (3-12) years, current/ex-smokers: 32.5%, body mass index: 28.40±5.77 kg/m2, HbA1c: 7.52%±1.66%, insulin-treated: 27.7%) were assigned to JADE-only (n=443) or JADE-PRISM group (n=441). The profiles of the whole group included positive family history (74.7%), general obesity (51.4%), central obesity (79.2%), hypertension (66.7%), dyslipidemia (76.4%), albuminuria (35.4%), estimated glomerular filtration rate <60 mL/min/1.73 m2 (4.0%), retinopathy (13.8%), atherosclerotic cardiovascular disease (5.2%), cancer (3.1%), emotional distress (26%-38%) and suboptimal adherence (54%) with 5-item EuroQol for Quality of Life index of 0.88 (0.87-0.96). Overall, 13.7% attained ≥3 metabolic targets defined in secondary outcomes. In the JADE-PRISM group, 4.5% had pathogenic/likely pathogenic variants of monogenic diabetes genes; 5% had autoantibodies and 8.4% had fasting C-peptide <0.2 nmol/L. Other significant events included low/large birth weight (33.4%), childhood obesity (50.7%), mental illness (10.3%) and previous suicide attempts (3.6%). Among the women, 17.3% had polycystic ovary syndrome, 44.8% required insulin treatment during pregnancy and 17.3% experienced adverse pregnancy outcomes. CONCLUSIONS: Young-onset diabetes is characterized by complex etiologies with comorbidities including mental illness and lifecourse events. TRIAL REGISTRATION NUMBER: NCT04049149.

The Association between Bone Mineral Density and Risk of Mortality: A Prospective Cohort Study of 233,397 Taiwanese.

PURPOSE: Osteoporosis is an important public health challenge given its high prevalence in western populations and the prevalence has shown an upward trend in recent decades in Asia. However, epidemiological evidence on the association between bone mineral density (BMD) and mortality risk in the Asian population is sparse. METHODS: The Cox proportional hazards model and cause-specific hazard models were used to investigate the association of BMD with the risk of all-cause mortality and cause-specific mortality. RESULTS: The present study comprised of 3,332,207 person-years with a median follow-up of 14.6 years. 27,508 participants (15,967 men and 11,541 women) died among 233,397 participants (112,348 men and 121,049 women) during the follow-up period. Compared to those with normal BMD level, both men and women with low BMD had a significantly higher risk of all-cause, cardiovascular disease (CVD), and cancer mortality after adjusting for the covariates. [For men with osteoporosis: all-cause: 1.37 (1.27-1.49); CVD: 1.28 (1.08-1.52); cancer: 1.29 (1.12-1.49); For women with osteoporosis: all-cause: 1.72 (1.63-1.82); CVD: 1.85 (1.64-2.08); cancer: 1.47 (1.35-1.61)]. The P for interactions for BMD with sex were significant for all-cause and CVD mortality. The adverse effects of BMD on the risk of all-cause and CVD were higher in women than in men [men vs. women: all-cause: 1.37 (1.27-1.49) vs. 1.72 (1.63-1.82); CVD: 1.28 (1.08-1.52) vs. 1.85 (1.64-2.08)]. In the nonlinear dose-response analyses, the association between BMD increments and all-cause mortality risk shows an L-shaped pattern in men and a similar U-shaped trend in women (P for non-linear association: <0.001). Likewise, a similar L-shaped association was observed between BMD levels and cancer mortality risk in men. CONCLUSIONS: Low BMD had an increased risk of all-cause, CVD, and cancer mortality in both men and women. Women had a stronger positive association between low BMD and an increased risk of all-cause and CVD mortality compared to men.

Effects of mindfulness-based cognitive therapy for Chinese adults with PTSD symptoms: protocol for a randomised controlled trial.

INTRODUCTION: Emerging evidence supports mindfulness as a potential psychotherapy for post-traumatic stress disorder (PTSD). Individuals with subthreshold PTSD experience significant impairment in their daily life and functioning due to PTSD symptoms, despite not meeting the full diagnostic criteria for PTSD in DSM-5. Mindfulness skills, including non-judgmental acceptance, attentional control and openness to experiences may help alleviate PTSD symptoms by targeting characteristics such as intensified memory processing, dysregulated hyperarousal, avoidance, and thought suppression. This trial aims to test the effects of mindfulness-based cognitive therapy (MBCT) when compared to an active control. METHOD AND ANALYSIS: This 1:1 randomised controlled trial will enroll 160 participants with PTSD symptoms in 2 arms (MBCT vs. Seeking Safety), with both interventions consisting of 8 weekly sessions lasting 2 h each week and led by certified instructors. Assessments will be conducted at baseline (T0), post-intervention (T1), and 3 months post-intervention (T2), with the primary outcome being PTSD symptoms measured by the PTSD checklist for DSM-5 (PCL-5) at T1. Secondary outcomes include depression, anxiety, attention, experimental avoidance, rumination, mindfulness, and coping skills. Both intention-to-treat and per-protocol analyses will be performed. Mediation analysis will investigate whether attention, experimental avoidance, and rumination mediate the effect of mindfulness on PTSD symptoms. DISCUSSION: The proposed study will assess the effectiveness of MBCT in improving PTSD symptoms. The findings are anticipated to have implications for various areas of healthcare and contribute to the enhancement of existing intervention guidelines for PTSD. TRIAL REGISTRATION NUMBER: ChiCTR2200061863.

Trajectories of depressive symptom and its association with air pollution: evidence from the Mr. OS and Ms. OS Hong Kong cohort study.

BACKGROUND: Depression is a global health priority. Maintaining and delaying depressive symptoms in older adults is a key to healthy aging. This study aimed to identify depressive symptom trajectories, predictors and mortality, while also exploring the relationship between air quality and depressive symptoms in older adults in the Hong Kong community over 14 years. METHODS: This study is a longitudinal study in Hong Kong. The target population was community-dwelling older adults over age 65. Depressive symptoms were measured by the Geriatric Depression Scale (GDS-15). Group-based trajectory model was used to identify heterogeneity in longitudinal changes over 14 years and examine the associations between baseline variables and trajectories for different cohort members using multinomial logistic regression. The Kaplan-Meier method was employed to conduct survival analysis and explore the variations in survival probabilities over time among different trajectory group. Linear mixed model was used to explore the relationship between air quality and depressive symptoms. RESULTS: A total of 2828 older adults were included. Three different trajectories of depressive symptoms in older people were identified: relatively stable (15.4%), late increase (67.1%) and increase (17.5%). Female, more number of chronic diseases, poor cognitive function, and poor health-related quality of life (HRQOL) were significantly associated with other less favorable trajectories compared with participants with stable levels of depressive symptoms. The late increase group had a lower mortality rate than the relatively stable and increased groups. Lower baseline ambient air pollutant exposure to NO2 over 14 years was significantly associated with fewer depressive symptoms. CONCLUSIONS: In this study, we found that a late increase in depressive symptoms was the predominant trend in older Chinese people in Hong Kong. Poorer HRQOL was predictive of less favorable trajectories of depressive symptoms. Ambient air pollution was associated with depressive symptoms. This novel observation strengthens the epidemiological evidence of longitudinal changes in depressive symptoms and associations with late-life exposure to air pollution.

Cost effectiveness of nonpharmacological prevention programs for diabetes: A systematic review of trial-based studies.

Trial-based economic value of prevention programs for diabetes is inexplicit. We aimed to review the cost-effectiveness of nonpharmacological interventions to prevent type-2 diabetes mellitus (T2DM) for high-risk people. Six electronic databases were searched up to March 2022. Studies assessing both the cost and health outcomes of nonpharmacological interventions for people at high-risk of T2DM were included. The quality of the study was assessed by the Consolidated Health Economic Evaluation Reporting Standards 2022 checklist. The primary outcome for synthesis was incremental cost-effectiveness ratios (ICER) for quality-adjusted life years (QALYs), and costs were standardized in 2022 US dollars. Narrative synthesis was performed, considering different types and delivery methods of interventions. Sixteen studies included five based on the US diabetes prevention program (DPP), six on non-DPP-based lifestyle interventions, four on health education, and one on screening plus lifestyle intervention. Compared with usual care, lifestyle interventions showed higher potential of cost-effectiveness than educational interventions. Among lifestyle interventions, DPP-based programs were less cost-effective (median of ICERs: $27,077/QALY) than non-DPP-based programs (median of ICERs: $1395/QALY) from healthcare perspectives, but with larger decreases in diabetes incidence. Besides, the cost-effectiveness of interventions was more possibly realized through the combination of different delivery methods. Different interventions to prevent T2DM in high-risk populations are both cost-effective and feasible in various settings. Nevertheless, economic evidence from low- and middle-income countries is still lacking, and interventions delivered by trained laypersons and combined with peer support sessions or mobile technologies could be potentially a cost-effective solution in such settings with limited resources.

Comparative analysis of symptom profile and risk of death associated with infection by SARS-CoV-2 and its variants in Hong Kong.

The recurrent multiwave nature of coronavirus disease 2019 (COVID-19) necessitates updating its symptomatology. We characterize the effect of variants on symptom presentation, identify the symptoms predictive and protective of death, and quantify the effect of vaccination on symptom development. With the COVID-19 cases reported up to August 25, 2022 in Hong Kong, an iterative multitier text-matching algorithm was developed to identify symptoms from free text. Multivariate regression was used to measure associations between variants, symptom development, death, and vaccination status. A least absolute shrinkage and selection operator technique was used to identify a parsimonious set of symptoms jointly associated with death. Overall, 70.9% (54 450/76 762) of cases were symptomatic with 102 symptoms identified. Intrinsically, the wild-type and delta variant caused similar symptoms among unvaccinated symptomatic cases, whereas the wild-type and omicron BA.2 subvariant had heterogeneous patterns, with seven symptoms (fatigue, fever, chest pain, runny nose, sputum production, nausea/vomiting, and sore throat) more frequent in the BA.2 cohort. With ≥2 vaccine doses, BA.2 was more likely than delta to cause fever among symptomatic cases. Fever, blocked nose, pneumonia, and shortness of breath remained jointly predictive of death among unvaccinated symptomatic elderly in the wild-type-to-omicron transition. Number of vaccine doses required for reducing occurrence varied by symptoms. We substantiate that omicron has a different clinical presentation compared to previous variants. Syndromic surveillance can be bettered with reduced reliance on symptom-based case identification, increased weighing on symptoms predictive of death in outcome prediction, individual-based risk assessment in care homes, and incorporating free-text symptom reporting.

Age-dependent association of central blood pressure with cardiovascular outcomes: a cohort study involving 34 289 participants using the UK biobank.

BACKGROUND: It remained unclear whether central blood pressures (BP) was more closely associated with cardiovascular disease (CVD) than brachial BP in different age groups. OBJECTIVES: To investigate the age-stratified association of CVD with brachial and central BPs, and to evaluate corresponding improvement in model performance. METHODS: This cohort study included 34 289 adults without baseline CVD from the UK Biobank dataset. Participants were categorized into middle-aged and older aged groups using the cut-off of age 65 years. The primary endpoint was a composite cardiovascular outcome consisting of cardiovascular mortality combined with nonfatal coronary events, heart failure and stroke. Multivariable-adjusted hazard ratios expressed CVD risks associated with BP increments of 10 mmHg. Akaike Information Criteria (AIC) was used for model comparisons. RESULTS: In both groups, CVD events were associated with brachial or central SBP ( P  ≤ 0.002). Model fit was better for central SBP in middle-aged adults (AIC 4427.2 vs. 4429.5), but model fit was better for brachial SBP in older adults (AIC 10 246.7 vs. 10 247.1). Central SBP remained significantly associated to CVD events [hazard ratio = 1.05; 95% confidence interval (CI) 1.0-1.1] and improved model fit (AIC = 4426.6) after adjustment of brachial SBP only in the middle-aged adults. These results were consistent for pulse pressure (PP). CONCLUSION: In middle-aged adults, higher central BPs were associated with greater risks of CVD events, even after adjusting for brachial BP indexes. For older adults, the superiority of central BP was not observed. Additional trials with adequate follow-up time will confirm the role of central BP in estimating CVD risk for middle-aged individuals.

Determinants of health-related quality of life in older people with chronic musculoskeletal pain: a cross-sectional study.

BACKGROUND: This study aimed to identify the significant physical, psychological, and social determinants associated with EuroQuol-5D (EQ-5D) among Chinese older people with chronic musculoskeletal pain, and to evaluate how these determinants affected the five dimensions of EQ-5D. METHOD: This is a cross-sectional study. Data were collected through a cohort involving 946 community-dwelling older people aged ≥ 60 with chronic musculoskeletal pain in Hong Kong. Selected independent variables were categorized into physical, psychological, and social domains. Physical variables included age, sex, body mass index (BMI), pain severity score, number of pain regions, the most painful site, and the number of comorbidities. Psychological variables included depression level measured using the 9-question Patient Health Questionnaire (PHQ-9), and anxiety level measured using the Generalized Anxiety Disorder Assessment (GAD-7). Social variables included living, marital, and social welfare recipient's status. The dependent variables comprised the index scores and the five dimensions of the EQ-5D descriptive system. Ordinal least squares (OLS) model and logistic regression model were used for data analysis. RESULTS: The mean age of the participants was 67.1 (SD = 5.1), with 77.6% being female. Higher pain severity scores (beta (ß) coefficient =-0.044, P < 0.001), depression scores (ß=-0.007, P < 0.001) and higher anxiety scores (ß=-0.01, P < 0.001) were associated with lower EQ-5D index scores. Specifically, knee pain (ß=-0.061, P < 0.001) was significantly associated with lower EQ-5D index scores. Participants with higher pain severity and depression scores were more likely to report problems in most EQ-5D dimensions. Participants with anxiety primarily faced challenges related to mood, and those with knee pain were more likely to have problems with mobility and daily activities. CONCLUSION: Among the selected determinants in our study, pain intensity, depression, anxiety, and knee pain were identified as key determinants associated with reduced HRQoL in older Chinese people with chronic musculoskeletal pain. Each of these determinants showed distinct associations with different dimensions of the EQ-5D, potentially informed resource allocation and the development of targeted interventions to improve the overall HRQoL of this specific population.

Optimizing the frequency of physician encounters in follow - up care for patients with type 2 diabetes mellitus: a systematic review.

BACKGROUND: Decisions on the frequency of physician encounters for patients with type 2 diabetes mellitus (T2DM) have significant impacts on both patients' health outcomes and burden on health systems, whereas definitive intervals for physician encounters are still lacking in most clinical guidelines. This study systematically reviewed the existing evidence evaluating different frequencies of physician encounters among T2DM patients. METHODS: Systematic search of studies evaluating different visit frequencies for follow - up care in T2DM patients was performed in MEDLINE Ovid, Embase Ovid, and Cochrane library from database inception to 25 March 2022. Studies on the follow - up encounters driven by non - physicians and those on the episodic visits in the acute care settings were excluded in the screening. Citation searching was conducted via Google Scholar on the identified papers after screening. The risk of bias was assessed using Cochrane RoB2 tool for randomized controlled trials and Newcastle - Ottawa Scale for cohort studies. Findings were summarized narratively. RESULTS: Among 6363 records from the database search and 231 references from the citation search, 12 articles were eligible for in - depth review. The results showed that for patients who had not achieved cardiometabolic control, intensifying encounter frequency could enhance medication adherence, shorten the time to achieve the treatment target, and improve the patients' quality of life. However, for the patients who had already achieved the treatment targets, less frequent encounters were equivalent to intensive encounters in maintaining their cardiometabolic control, and could save considerable healthcare costs without substantially lowering the quality of care and patients' satisfaction. CONCLUSION: Existing evidence suggested that the optimal frequency of physician encounters for patients with T2DM should be individualized, which can be stratified by patients' risk levels based on the cardiometabolic control to guide the differential scheduling of physician encounters in the follow - up. More research is needed to determine how to optimize the frequency of physician encounters for this large and heterogeneous population.

Extracting symptoms from free-text responses using ChatGPT among COVID-19 cases in Hong Kong.

OBJECTIVES: To investigate the feasibility and performance of Chat Generative Pretrained Transformer (ChatGPT) in converting symptom narratives into structured symptom labels. METHODS: We extracted symptoms from 300 deidentified symptom narratives of COVID-19 patients by a computer-based matching algorithm (the standard), and prompt engineering in ChatGPT. Common symptoms were those with a prevalence >10% according to the standard, and similarly less common symptoms were those with a prevalence of 2-10%. The precision of ChatGPT was compared with the standard using sensitivity and specificity with 95% exact binomial CIs (95% binCIs). In ChatGPT, we prompted without examples (zero-shot prompting) and with examples (few-shot prompting). RESULTS: In zero-shot prompting, GPT-4 achieved high specificity (0.947 [95% binCI: 0.894-0.978]-1.000 [95% binCI: 0.965-0.988, 1.000]) for all symptoms, high sensitivity for common symptoms (0.853 [95% binCI: 0.689-0.950]-1.000 [95% binCI: 0.951-1.000]), and moderate sensitivity for less common symptoms (0.200 [95% binCI: 0.043-0.481]-1.000 [95% binCI: 0.590-0.815, 1.000]). Few-shot prompting increased the sensitivity and specificity. GPT-4 outperformed GPT-3.5 in response accuracy and consistent labelling. DISCUSSION: This work substantiates ChatGPT's role as a research tool in medical fields. Its performance in converting symptom narratives to structured symptom labels was encouraging, saving time and effort in compiling the task-specific training data. It potentially accelerates free-text data compilation and synthesis in future disease outbreaks and improves the accuracy of symptom checkers. Focused prompt training addressing ambiguous descriptions impacts medical research positively.

Temporal variations of vaccine hesitancy amid the COVID-19 outbreaks in Hong Kong.

To inform the dynamic adjustments of vaccination campaigns, this study examined the transitions among vaccine hesitancy profiles over the COVID-19 pandemic progression and their predictors and outcomes. The transition patterns among hesitancy profiles over three periods were identified using a latent transition analysis with individuals from a longitudinal cohort study since the emergence of COVID-19 in Hong Kong. Four profiles (i.e., skeptics, apathetics, fence-sitters, and believers) emerged consistently over time. From Period 1 (third and fourth pandemic waves) to Period 2 (dormant period, vaccine rollout), 14.17% of believers became fence-sitters (ambivalization), and 12.11% of fence-sitters became apathetics (apathetization). From Period 2 to Period 3 (omicron surge and vaccine mandates), 20.21% of believers became fence-sitters. Lower trust in government predicted a transition to skepticism, whereas higher trust predicted the opposite. Staying as believers was associated with decreased hygienic and social distancing behavior. The stable hesitancy profiles amid the rapid vaccine uptake suggest that structural factors rather than personal agency may drive the surge. Ambivalization and apathetization may signal disengagement in preventive behaviors. Trust in the government is crucial in the pandemic response. Public health interventions may improve compliance with guidelines and prevent skepticism and apathy.

The Effects of Mindfulness for Youth (MYmind) versus Group Cognitive Behavioral Therapy in Improving Attention and Reducing Behavioral Problems among Children with Attention-Deficit Hyperactivity Disorder and Their Parents: A Randomized Controlled Trial.

INTRODUCTION: There is a lack of studies evaluating mindfulness-based interventions for children with attention-deficit hyperactivity disorder (ADHD) compared with an evidence-based control. This randomized controlled trial (RCT) evaluated the effects of mindfulness for youth (MYmind) in improving children's attention, behavior, and parent-related outcomes versus cognitive behavioral therapy (CBT). METHODS: A total of 138 families of children with ADHD aged 8-12 years were recruited from the community with 69 randomized to MYmind and 69 to CBT. Participants were assessed at baseline, immediately after intervention, at 3 months and 6 months. The primary outcome was the attention score of the Sky Search subtest of the Test of Everyday Attention for Children (TEA-Ch). Secondary outcomes were child behavior and parent-related assessments. Linear mixed models were used to assess the efficacy of MYmind compared with CBT. RESULTS: Both MYmind and CBT significantly improved children's attention score at 6 months (MYmind: ß = 1.48, p = 0.013, Cohen's d = 0.32; CBT: ß = 1.46, p = 0.008, d = 0.27). There were significant within-group improvements in most secondary outcomes. No significant difference was shown for both primary or secondary outcomes between the two arms at any time point. CONCLUSIONS: Both MYmind and CBT appeared to improve children's attention and behavior outcomes, although no difference was found between these two interventions. This is the largest RCT so far comparing MYmind and CBT although there was loss of follow-up assessments during the pandemic. Further RCTs adopting a non-inferiority design are needed to validate the results.

Revisiting Vaccine Hesitancy in Residential Care Homes for the Elderly for Pandemic Preparedness: A Lesson from COVID-19.

Residents in residential care homes for the elderly (RCHEs) are at high risk of severe illnesses and mortality, while staff have high exposure to intimate care activities. Addressing vaccine hesitancy is crucial to safeguard vaccine uptake in this vulnerable setting, especially amid a pandemic. In response to this, we conducted a cross-sectional survey to measure the level of vaccine hesitancy and to examine its associated factors among residents and staff in RCHEs in Hong Kong. We recruited residents and staff from 31 RCHEs in July-November 2022. Of 204 residents, 9.8% had a higher level of vaccine hesitancy (scored ≥ 4 out of 7, mean = 2.44). Around 7% of the staff (n = 168) showed higher vaccine hesitancy (mean = 2.45). From multi-level regression analyses, higher social loneliness, higher anxiety, poorer cognitive ability, being vaccinated with fewer doses, and lower institutional vaccination rates predicted residents' vaccine hesitancy. Similarly, higher emotional loneliness, higher anxiety, being vaccinated with fewer doses, and working in larger RCHEs predicted staff's vaccine hesitancy. Although the reliance on self-report data and convenience sampling may hamper the generalizability of the results, this study highlighted the importance of addressing the loneliness of residents and staff in RCHEs to combat vaccine hesitancy. Innovative and technology-aided interventions are needed to build social support and ensure social interactions among the residents and staff, especially amid outbreaks.