The Chinese version of the CD-RISC2 was demonstrated to be a reliable and valid measure in assessing resilience among the general population in Hong Kong.
In this pilot study, Pokémon Go was associated with a transient increase in physical activity in the first week. Augmented reality games need to demonstrate a sustained positive health impact to be promoted as a new class of physical activity interventions.
Depression trajectories after a major protest are comparable to those after major population events. Health care professionals should be aware of the mental health consequences during and after social movements, particularly among individuals lacking social support.
Despite the extensive history of social movements around the world, the evolution of population mental health before, during, and after a social movement remains sparsely documented. We sought to assess over time the prevalence of depressive symptoms during and after the Occupy Central movement in Hong Kong and to examine the associations of direct and indirect exposures to Occupy Central with depressive symptoms. We longitudinally administered interviews to 909 adults who were randomly sampled from the population-representative FAMILY Cohort at 6 time points from March 2009 to March 2015: twice each before, during, and after the Occupy Central protests. The Patient Health Questionnaire-9 was used to assess depressive symptoms and probable major depression (defined as Patient Health Questionnaire-9 score ≥10). The absolute prevalence of probable major depression increased by 7% after Occupy Central, regardless of personal involvement in the protests. Higher levels of depressive symptoms were associated with online and social media exposure to protest-related news (incidence rate ratio (IRR) = 1.28, 95% confidence interval (CI): 1.06, 1.55) and more frequent Facebook use (IRR = 1.38, 95% CI: 1.12, 1.71). Higher levels of intrafamilial sociopolitical conflict was associated with more depressive symptoms (IRR = 1.05, 95% CI: 1.01, 1.09). The Occupy Central protests resulted in substantial and sustained psychological distress in the community.
Context
Risk scores for cardiovascular and mortality outcomes have not been commonly applied in Chinese populations.
Objective
To develop and externally validate a set of parsimonious risk scores [University of Hong Kong-Singapore (HKU-SG)] to predict the risk of mortality, cerebrovascular disease, and ischemic heart disease among Chinese people with type 2 diabetes and compare HKU-SG risk scores to other existing ones.
Design
Retrospective population-based cohorts drawn from Hong Kong Hospital Authority health records from 2006 to 2014 for development and Singapore Ministry of Health records from 2008 to 2016 for validation. Separate five-year risk scores were derived using Cox proportional hazards models for each outcome.
Setting
Study participants were adults with type 2 diabetes aged 20 years or over, consisting of 678,750 participants from Hong Kong and 386,425 participants from Singapore.
Main Outcome Measures
Performance was evaluated by discrimination (Harrell C-index), and calibration plots comparing predicted against observed risks.
Results
All models had fair external discrimination. Among the risk scores for the diabetes population, ethnic-specific risk scores (HKU-SG and Joint Asia Diabetes Evaluation) performed better than UK Prospective Diabetes Study and Risk Equations for Complications Of type 2 Diabetes models. External validation of the HKU-SG risk scores for mortality, cerebrovascular disease, and ischemic heart disease had corresponding C-indices of 0.778, 0.695, and 0.644. The HKU-SG models appeared well calibrated on visual plots, with predicted risks closely matching observed risks.
Conclusions
The HKU-SG risk scores were developed and externally validated in two large Chinese population-based cohorts. The parsimonious use of clinical predictors compared with previous risk scores could allow wider implementation of risk estimation in diverse Chinese settings.
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