Sensitivity and specificity of automated blood pressure devices to detect atrial fibrillation: A systematic review and meta-analysis of diagnostic accuracy.

Background: Atrial fibrillation (AF) is a prevalent and preventable cause of stroke and mortality. Aim: This systematic review and meta-analysis aimed to investigate the sensitivity and specificity of office and out-of-office automated blood pressure (BP) devices to detect AF. Methods: Diagnostic studies, extracted from databases such as Ovid Medline and Embase, on AF detection by BP device(s), electrocardiography, and reported sensitivity and specificity, were included. Screening of abstracts and full texts, data extraction, and quality assessment were conducted independently by two investigators using Covidence software. The sensitivity and specificity of the BP devices were pooled using a random-effects model. Results: Sixteen studies including 10,158 participants were included. Only a few studies were conducted in primary care (n = 3) or with a low risk of bias (n = 5). Office BP devices, which utilised different algorithms to detect AF, had a sensitivity and specificity of 96.2 and 94%, respectively. Specificity was reduced when only one positive result was considered among consecutive BP measurements. Only a few studies (n = 3) investigated out-of-office BP. Only one study (n = 100) suggested the use of ≥79 and ≥26% of positive readings on 24-h ambulatory BP measurements to detect AF and paroxysmal AF, respectively. Conclusions: Office BP devices can be used clinically to screen for AF in high-risk populations. Clinical trials are needed to determine the effect of AF screening using office BP devices in reducing stroke risk and mortality. Further studies are also required to guide out-of-office use of BP devices for detecting paroxysmal AF or AF. Systematic review registration: https://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42022319541, PROSPERO CRD42022319541.

Trajectory patterns of SARS-CoV-2 neutralising antibody response in convalescent COVID-19 patients.

Background: The adaptive immune responses of COVID-19 patients contributes to virus clearance, restoration of health and protection from re-infection. The patterns of and the associated characteristics with longitudinal neutralising antibody (NAb) response following SARS-CoV-2 infection are important in their potential association with the population risks of re-infection. Methods: This is a longitudinal study with blood samples and clinical data collected in adults aged 18 or above following diagnosis of SARS-CoV-2 infection. NAb levels were measured by the SARS-CoV-2 surrogate virus neutralisation test (sVNT). Anonymous clinical and laboratory data were matched with surveillance data for each subject for enabling analyses and applying latent class mixed models for trajectory delineation. Logistic regression models were performed to compare the characteristics between the identified classes. Results: In 2020-2021, 368 convalescent patients in Hong Kong are tested for NAb. Their seroconversion occur within 3 months in 97% symptomatic patients, the level of which are maintained at 97% after 9 months. The NAb trajectories of 200 symptomatic patients are classified by the initial response and subsequent trend into high-persistent and waning classes in latent class mixed models. High-persistent (15.5%) class patients are older and most have chronic illnesses. Waning class patients (84.5%) are largely young adults who are mildly symptomatic including 2 who serorevert after 10 months. Conclusions: Characteristic sub-class variabilities in clinical pattern are noted especially among patients with waning NAb. The heterogeneity of the NAb trajectory patterns and their clinical association can be important for informing vaccination strategy to prevent re-infection.

Primary School Students' Online Learning During Coronavirus Disease 2019: Factors Associated With Satisfaction, Perceived Effectiveness, and Preference.

Emergency online education has been adopted worldwide due to coronavirus disease 2019 (COVID-19) pandemic. Prior research regarding online learning predominantly focused on the perception of parents, teachers, and students in tertiary education, while younger children's perspectives have rarely been examined. This study investigated how family, school, and individual factors would be associated with primary school students' satisfaction, perceived effectiveness, and preference in online learning during COVID-19. A convenient sample of 781 Hong Kong students completed an anonymous online survey from June to October 2020. Logistic regression was conducted for 13 potential factors. Results indicated that only 57% of students were satisfied with their schools' online learning arrangement and 49.6% regarded the online learning as an effective learning mode. Only 12.8% of students preferred online learning, while 67.2% of students preferred in-person schooling. Multiple analyses suggested that teacher-student interaction during online classes was positively associated with students' satisfaction, perceived effectiveness, and preferences in online learning. Compared to grades 1-2 students, grades 3-6 students perceived more effectiveness and would prefer online learning. Happier schools were more likely to deliver satisfying and effective online education. Students who reported less happiness at school would prefer online learning, and students who reported less happiness at home would be less satisfied with online learning and reflected lower effectiveness. Teachers are encouraged to deliver more meaningful interactions to students and offer extra support to younger children during online classes. Primary schools and parents are encouraged to create a healthy and pleasant learning environment for children. The government may consider building up happy schools in the long run. The study findings are instrumental for policymakers, institutions, educators, and researchers in designing online education mechanisms.

Explaining the Psychosocial Effects of COVID-19 Among Older Hong Kong Chinese People-A Qualitative Analysis.

BACKGROUND: Social distancing and "stay-at-home" orders are essential to contain the coronavirus outbreak; however, there are growing concerns about physical and other mental distress in older people. Apart from quantitative data, their feelings, thoughts, and experience are essential to inform the implementation of patient-centered health care policy. AIM: This study explained the psychosocial effects of COVID-19 on Hong Kong Chinese older people. DESIGN AND SETTING: This was a qualitative study. Twenty-three participants aged between 63 and 86 were recruited in primary care through purposive sampling. METHOD: Semi-structured in-depth telephone interviews were conducted to explore participants' experience during the COVID-19 pandemic. Grounded theory was used to analyze the data. RESULTS: Three themes, nine subthemes, and 24 quotes were identified. The 3 themes included the psychological response of fear, annoyance, and worrisome; social isolation leading to loneliness and physical exhaustion; and the coping strategies in adversity. Fear was the major emotional response, which was not entirely explained by the uncertainty of the disease, but also the embedded routines norms and values. Loneliness was aggravated by the depleted family and community support. Physical distancing had intensified ones physical demand on self-care, especially among those with comorbid illnesses. The use of digital tools and telecommunications maintained the social connection, but the overexposure had led to a vicious cycle of anxiety and distress. CONCLUSION: Self-isolation has disproportionately affected older individuals whose only social contact is out of the home. Online technologies can be harnessed to provide social support networks and a sense of belonging, but its adaptive and positive uses should be encouraged. Interventions can also involve more frequent telephone contact with significant others, close family and friends, voluntary organizations, or health-care professionals, or community outreach teams. Enhancing the values of older people's in calamity through active engagement may also potentially reduce the detrimental effect of social isolation.

Socioeconomic Patterns of COVID-19 Clusters in Low-Incidence City, Hong Kong.

Although coronavirus disease (COVID-19) outbreaks have been relatively well controlled in Hong Kong, containment remains challenging among socioeconomically disadvantaged persons. They are at higher risk for widespread COVID-19 transmission through sizable clustering, probably because of exposure to social settings in which existing mitigation policies had differential socioeconomic effects.

The Relationship Between Technology Use and Problem Technology Use and Potential Psychosocial Mechanisms: Population-Based Telephone Survey in Community Adults During COVID-19.

Background: Although digital technology enables people to stay connected during COVID-19, protracted periods of isolation, crisis-induced stress, and technology-based activity may intensify problem technology use (PTU), such as social media addiction (SMA) and Internet gaming disorder (IGD). Objective: This study aimed to characterize the patterns and levels of SMA and IGD during COVID-19 in the general population of Hong Kong. We also tested the associations between prolonged use of social media/Internet games and SMA/IGD and the mediation effects of psychosocial statuses (i.e., loneliness, boredom, and post-traumatic stress) on these associations. Methods: A population-based random telephone survey was conducted in community adults in May 2020; 658 social media users and 177 Internet gamers were identified. A structured questionnaire, including the Bergen Social Media Addiction Scale, the diagnostic and statistical manual of mental disorder IGD Symptoms Checklist, the Post-Traumatic Stress Disorder Scale, Multidimensional State Boredom Scale, and the De Jong Gierveld Loneliness Scale, was used. Time spent on social media and Internet games during and before COVID-19 was also asked. Results: There were 66.2-81.8% increases in time use of social media or Internet games during COVID-19 compared to pre-COVID-19 self-reported information of the participants. The estimated IGD prevalence rate in the gamers based on the sample weighted to the age distribution and gender ratio of the Hong Kong population was 9.7%, higher than that of pre-COVID-19 research. Age, marital status, education levels, time use of social media, COVID-19-related post-traumatic stress, boredom, and emotional loneliness were significantly associated with SMA, while time spent on Internet games, boredom, and emotional loneliness was significantly associated with IGD. Boredom positively mediated the associations between time spent on social media/Internet games and SMA/IGD, whereas social loneliness negatively mediated the association between time spent on social media and SMA. Conclusion: These findings highlight the concern of prolonged use of digital platforms during COVID-19 and its role as a "double-edged sword" for psychosocial wellbeing and behavioral health during COVID-19. It also highlights a need to monitor and prevent PTU in the general public. The observed psychosocial mechanisms are modifiable and can inform the design of evidence-based prevention programs for PTU.

The Differential Effects of Social Media on Depressive Symptoms and Suicidal Ideation Among the Younger and Older Adult Population in Hong Kong During the COVID-19 Pandemic: Population-Based Cross-sectional Survey Study.

BACKGROUND: Social media has become a ubiquitous part of daily life during the COVID-19 pandemic isolation. However, the role of social media use in depression and suicidal ideation of the general public remains unclear. Related empirical studies were limited and reported inconsistent findings. Little is known about the potential underlying mechanisms that may illustrate the relationship between social media use and depression and suicidal ideation during the COVID-19 pandemic. OBJECTIVE: This study tested the mediation effects of social loneliness and posttraumatic stress disorder (PTSD) symptoms on the relationship between social media use and depressive symptoms and suicidal ideation, as well as the moderation effect of age on the mediation models. METHODS: We administered a population-based random telephone survey in May and June 2020, when infection control measures were being vigorously implemented in Hong Kong. A total of 1070 adults (658 social media users and 412 nonusers) completed the survey. Structural equation modeling (SEM) and multigroup SEM were conducted to test the mediation and moderation effects. RESULTS: The weighted prevalence of probable depression was 11.6%; 1.6% had suicidal ideation in the past 2 weeks. Both moderated mediation models of depressive symptoms (χ262=335.3; P<.05; comparative fit index [CFI]=0.94; nonnormed fit index [NNFI]=0.92; root mean square error of approximation [RMSEA]=0.06) and suicidal ideation (χ234=50.8; P<.05; CFI=0.99; NNFI=0.99; RMSEA=0.02) showed acceptable model fit. There was a significantly negative direct effect of social media use on depressive symptoms among older people (ß=-.07; P=.04) but not among younger people (ß=.04; P=.55). The indirect effect via PTSD symptoms was significantly positive among both younger people (ß=.09; P=.02) and older people (ß=.10; P=.01). The indirect effect via social loneliness was significant among older people (ß=-.01; P=.04) but not among younger people (ß=.01; P=.31). The direct effect of social media use on suicidal ideation was not statistically significant in either age group (P>.05). The indirect effects via PTSD symptoms were statistically significant among younger people (ß=.02; P=.04) and older people (ß=.03; P=.01). Social loneliness was not a significant mediator between social media use and suicidal ideation among either age group (P>.05). CONCLUSIONS: Social media may be a "double-edged sword" for psychosocial well-being during the COVID-19 pandemic, and its roles vary across age groups. The mediators identified in this study can be addressed by psychological interventions to prevent severe mental health problems during and after the COVID-19 pandemic.

Mindfulness-based interventions: an overall review.

INTRODUCTION: This is an overall review on mindfulness-based interventions (MBIs). SOURCES OF DATA: We identified studies in PubMed, EMBASE, CINAHL, PsycINFO, AMED, Web of Science and Google Scholar using keywords including 'mindfulness', 'meditation', and 'review', 'meta-analysis' or their variations. AREAS OF AGREEMENT: MBIs are effective for improving many biopsychosocial conditions, including depression, anxiety, stress, insomnia, addiction, psychosis, pain, hypertension, weight control, cancer-related symptoms and prosocial behaviours. It is found to be beneficial in the healthcare settings, in schools and workplace but further research is warranted to look into its efficacy on different problems. MBIs are relatively safe, but ethical aspects should be considered. Mechanisms are suggested in both empirical and neurophysiological findings. Cost-effectiveness is found in treating some health conditions. AREAS OF CONTROVERSY: Inconclusive or only preliminary evidence on the effects of MBIs on PTSD, ADHD, ASD, eating disorders, loneliness and physical symptoms of cardiovascular diseases, diabetes, and respiratory conditions. Furthermore, some beneficial effects are not confirmed in subgroup populations. Cost-effectiveness is yet to confirm for many health conditions and populations. GROWING POINTS: Many mindfulness systematic reviews and meta-analyses indicate low quality of included studies, hence high-quality studies with adequate sample size and longer follow-up period are needed. AREAS TIMELY FOR DEVELOPING RESEARCH: More research is needed on online mindfulness trainings and interventions to improve biopsychosocial health during the COVID-19 pandemic; Deeper understanding of the mechanisms of MBIs integrating both empirical and neurophysiological findings; Long-term compliance and effects of MBIs; and development of mindfulness plus (mindfulness+) or personalized mindfulness programs to elevate the effectiveness for different purposes.

Effectiveness of non-pharmaceutical interventions on COVID-19 transmission in 190 countries from 23 January to 13 April 2020.

BACKGROUND: To evaluate and compare the effectiveness of four types of non-pharmaceutical interventions (NPIs) to contain the time-varying effective reproduction number (Rt) of coronavirus disease-2019 (COVID-19). METHODS: This study included 1,908,197 confirmed COVID-19 cases from 190 countries between 23 January and 13 April 2020. The implemented NPIs were categorised into four types: mandatory face mask in public, isolation or quarantine, social distancing and traffic restriction (referred to as mandatory mask, quarantine, distancing and traffic hereafter, respectively). RESULTS: The implementations of mandatory mask, quarantine, distancing and traffic were associated with changes (95% confidence interval, CI) of -15.14% (from -21.79% to -7.93%), -11.40% (from -13.66% to -9.07%), -42.94% (from -44.24% to -41.60%) and -9.26% (from -11.46% to -7.01%) in the Rt of COVID-19 when compared with those without the implementation of the corresponding measures. Distancing and the simultaneous implementation of two or more types of NPIs seemed to be associated with a greater decrease in the Rt of COVID-19. CONCLUSION: Our study indicates that NPIs can significantly contain the COVID-19 pandemic. Distancing and the simultaneous implementation of two or more NPIs should be the strategic priorities for containing COVID-19.

A Tale of 3 Asian Cities: How is Primary Care Responding to COVID-19 in Hong Kong, Singapore, and Beijing.

Hong Kong, Singapore, and Beijing have some of the highest numbers of international arrivals and densest living spaces globally, yet these cities have reported low numbers of deaths amid the coronavirus disease 2019 (COVID-19) outbreak. Primary care has played different roles in each of the health systems in combatting the pandemic. Both Hong Kong and Singapore have a 2-tiered health system with the majority of primary care provided in the private sector. The primary care system in Beijing consists of community health facilities, township health centers, and village clinics. The role of primary care in Hong Kong includes using the public primary care clinics as part of an enhanced surveillance program together with accident and emergency departments, as well as triaging patients with suspected infection to hospitals. Singapore's response to COVID-19 has included close cooperation between redeveloped polyclinics and private and public health preparedness clinics to provide screening with swab tests for suspected cases in the primary care setting. Beijing's unique response has consisted of using online platforms for general practitioners to facilitate monitoring among community residents, as well as public health education and a mobilized pharmacy refill program to reduce risk of transmission. Established challenges, however, include shortages of personal protective equipment and the heavy workload for health care staff. Regardless, all 3 cities have demonstrated enhanced preparedness since experiencing the severe acute respiratory syndrome epidemic, and the responses of their primary care systems therefore may offer learning points for other countries during the COVID-19 pandemic.

COVID-19 related health inequality exists even in a city where disease incidence is relatively low: a telephone survey in Hong Kong.

BACKGROUND: We examined whether COVID-19 could exert inequalities in socioeconomic conditions and health in Hong Kong, where there has been a relatively low COVID-19 incidence. METHODS: 752 adult respondents from a previous random sample participated in a telephone survey from 20 April to 11 May 2020. We examined demographic and socioeconomic factors, worry of COVID-19, general health, economic activity, and personal protective equipment (PPE) and related hygiene practice by deprivation status. The associations between deprivation and negative COVID-19 related issues were analysed using binary logistic regressions, while the associations of these issues with health were analysed using linear regressions. Path analysis was conducted to determine the direct effect of deprivation, and the indirect effects via COVID-19 related issues, on health. Interactions between deprivation and the mediators were also tested. RESULTS: Deprived individuals were more likely to have job loss/instability, less reserves, less utilisation and more concerns of PPE. After adjustments for potential confounders, being deprived was associated with having greater risk of low reserve of face masks, being worried about the disease and job loss/instability. Being deprived had worse physical (ß=-0.154, p<0.001) and mental health (ß=-0.211, p<0.001) and had an indirect effect on mental health via worry and job loss/instability (total indirect effect: ß=-0.027, p=0.017; proportion being mediated=11.46%). In addition, significant interaction between deprivation and change of economic activity status was observed on mental health-related quality of life. CONCLUSION: Even if the COVID-19 incidence was relatively low, part of the observed health inequality can be explained by people's concerns over livelihood and economic activity, which were affected by the containment measures. We should look beyond the incidence to address COVID-19 related health inequalities.

Meteorological factors and COVID-19 incidence in 190 countries: An observational study.

Novel corona virus disease 2019 (COVID-19), which first emerged in December 2019, has become a pandemic. This study aimed to investigate the associations between meteorological factors and COVID-19 incidence and mortality worldwide. This study included 1,908,197 confirmed cases of and 119,257 deaths from COVID-19 from 190 countries between 23 January and 13 April, 2020. We used a distributed lag non-linear model with city-/country-level random intercept to investigate the associations between COVID19 incidence and daily temperature, relative humidity, and wind speed. A series of confounders were considered in the analysis including demographics, socioeconomics, geographic locations, and political strategies. Sensitivity analyses were performed to examine the robustness of the associations. The COVID-19 incidence showed a stronger association with temperature than with relative humidity or wind speed. An inverse association was identified between the COVID-19 incidence and temperature. The corresponding 14-day cumulative relative risk was 1.28 [95% confidence interval (CI), 1.20-1.36] at 5 °C, and 0.75 (95% CI, 0.65-0.86) at 22 °C with reference to the risk at 11 °C. An inverse J-shaped association was observed between relative humidity and the COVID-19 incidence, with the highest risk at 72%. A higher wind speed was associated with a generally lower incidence of COVID-19, although the associations were weak. Sensitivity analyses generally yielded similar results. The COVID-19 incidence decreased with the increase of temperature. Our study suggests that the spread of COVID-19 may slow during summer but may increase during winter.