Several hypotheses may explain the association between substance use, posttraumatic stress disorder (PTSD), and depression. However, few studies have utilized a large multisite dataset to understand this complex relationship. Our study assessed the relationship between alcohol and cannabis use trajectories and PTSD and depression symptoms across 3 months in recently trauma-exposed civilians.

In total, 1618 (1037 female) participants provided self-report data on past 30-day alcohol and cannabis use and PTSD and depression symptoms during their emergency department (baseline) visit. We reassessed participant's substance use and clinical symptoms 2, 8, and 12 weeks posttrauma. Latent class mixture modeling determined alcohol and cannabis use trajectories in the sample. Changes in PTSD and depression symptoms were assessed across alcohol and cannabis use trajectories via a mixed-model repeated-measures analysis of variance.

Three trajectory classes (low, high, increasing use) provided the best model fit for alcohol and cannabis use. The low alcohol use class exhibited lower PTSD symptoms at baseline than the high use class; the low cannabis use class exhibited lower PTSD and depression symptoms at baseline than the high and increasing use classes; these symptoms greatly increased at week 8 and declined at week 12. Participants who already use alcohol and cannabis exhibited greater PTSD and depression symptoms at baseline that increased at week 8 with a decrease in symptoms at week 12.

Our findings suggest that alcohol and cannabis use trajectories are associated with the intensity of posttrauma psychopathology. These findings could potentially inform the timing of therapeutic strategies.

Young people are most vulnerable to suicidal behaviours but least likely to seek help. A more elaborate study of the intrinsic and extrinsic correlates of suicidal ideation and behaviours particularly amid ongoing population-level stressors and the identification of less stigmatising markers in representative youth populations is essential.

Participants (n = 2540, aged 15–25) were consecutively recruited from an ongoing large-scale household-based epidemiological youth mental health study in Hong Kong between September 2019 and 2021. Lifetime and 12-month prevalence of suicidal ideation, plan, and attempt were assessed, alongside suicide-related rumination, hopelessness and neuroticism, personal and population-level stressors, family functioning, cognitive ability, lifetime non-suicidal self-harm, 12-month major depressive disorder (MDD), and alcohol use.

The 12-month prevalence of suicidal ideation, ideation-only (no plan or attempt), plan, and attempt was 20.0, 15.4, 4.6, and 1.3%, respectively. Importantly, multivariable logistic regression findings revealed that suicide-related rumination was the only factor associated with all four suicidal outcomes (all p < 0.01). Among those with suicidal ideation (two-stage approach), intrinsic factors, including suicide-related rumination, poorer cognitive ability, and 12-month MDE, were specifically associated with suicide plan, while extrinsic factors, including coronavirus disease 2019 (COVID-19) stressors, poorer family functioning, and personal life stressors, as well as non-suicidal self-harm, were specifically associated with suicide attempt.

Suicide-related rumination, population-level COVID-19 stressors, and poorer family functioning may be important less-stigmatising markers for youth suicidal risks. The respective roles played by not only intrinsic but also extrinsic factors in suicide plan and attempt using a two-stage approach should be considered in future preventative intervention work.

Racial and ethnic groups in the USA differ in the prevalence of posttraumatic stress disorder (PTSD). Recent research however has not observed consistent racial/ethnic differences in posttraumatic stress in the early aftermath of trauma, suggesting that such differences in chronic PTSD rates may be related to differences in recovery over time.

As part of the multisite, longitudinal AURORA study, we investigated racial/ethnic differences in PTSD and related outcomes within 3 months after trauma. Participants (n = 930) were recruited from emergency departments across the USA and provided periodic (2 weeks, 8 weeks, and 3 months after trauma) self-report assessments of PTSD, depression, dissociation, anxiety, and resilience. Linear models were completed to investigate racial/ethnic differences in posttraumatic dysfunction with subsequent follow-up models assessing potential effects of prior life stressors.

Racial/ethnic groups did not differ in symptoms over time; however, Black participants showed reduced posttraumatic depression and anxiety symptoms overall compared to Hispanic participants and White participants. Racial/ethnic differences were not attenuated after accounting for differences in sociodemographic factors. However, racial/ethnic differences in depression and anxiety were no longer significant after accounting for greater prior trauma exposure and childhood emotional abuse in White participants.

The present findings suggest prior differences in previous trauma exposure partially mediate the observed racial/ethnic differences in posttraumatic depression and anxiety symptoms following a recent trauma. Our findings further demonstrate that racial/ethnic groups show similar rates of symptom recovery over time. Future work utilizing longer time-scale data is needed to elucidate potential racial/ethnic differences in long-term symptom trajectories.

Brief measurements of the subjective experience of stress with good predictive capability are important in a range of community mental health and research settings. The potential for large-scale implementation of such a measure for screening may facilitate early risk detection and intervention opportunities. Few such measures however have been developed and validated in epidemiological and longitudinal community samples. We designed a new single-item measure of the subjective level of stress (SLS-1) and tested its validity and ability to predict long-term mental health outcomes of up to 12 months through two separate studies.

We first examined the content and face validity of the SLS-1 with a panel consisting of mental health experts and laypersons. Two studies were conducted to examine its validity and predictive utility. In study 1, we tested the convergent and divergent validity as well as incremental validity of the SLS-1 in a large epidemiological sample of young people in Hong Kong (n = 1445). In study 2, in a consecutively recruited longitudinal community sample of young people (n = 258), we first performed the same procedures as in study 1 to ensure replicability of the findings. We then examined in this longitudinal sample the utility of the SLS-1 in predicting long-term depressive, anxiety and stress outcomes assessed at 3 months and 6 months (n = 182) and at 12 months (n = 84).

The SLS-1 demonstrated good content and face validity. Findings from the two studies showed that SLS-1 was moderately to strongly correlated with a range of mental health outcomes, including depressive, anxiety, stress and distress symptoms. We also demonstrated its ability to explain the variance explained in symptoms beyond other known personal and psychological factors. Using the longitudinal sample in study 2, we further showed the significant predictive capability of the SLS-1 for long-term symptom outcomes for up to 12 months even when accounting for demographic characteristics.

The findings altogether support the validity and predictive utility of the SLS-1 as a brief measure of stress with strong indications of both concurrent and long-term mental health outcomes. Given the value of brief measures of mental health risks at a population level, the SLS-1 may have potential for use as an early screening tool to inform early preventative intervention work.

Adverse childhood experiences (ACEs) are shown to be risk factors for developing anxiety later in life. However, one’s family relationship acts as a protective factor between ACEs and anxiety.

The present study examines the interaction between ACEs and family relationship and their effect on generalized anxiety (GA) amongst the youth population in Hong Kong.

Participants aged 15-24 were recruited from a population-based epidemiological study in Hong Kong. GA in the past two weeks was assessed using GAD-7, while ACEs were measured using the childhood section of Composite International Diagnostic Interview screening scales (CIDI-SC), encompassing parental psychopathology, physical, emotional, sexual abuse, and neglect before age 17. Family relationship was measured by the Brief Family Relationship Scale (BFRS). Linear regression and a two-way ANCOVA were conducted to examine the association between ACEs, family relationship and GA, while adjusted for age and gender.

633 (70.7%) out of 895 participants had any ACEs. ACEs significantly predicted GAD-7 scores (Β=1.272, t(891)=4.115, p<.001). Two-way ANCOVA reported a significant interaction effect of ACEs and family relationship on GA (F(1, 889)=4.398, p=.036), namely those who had any ACEs and poorer family relationship scored higher in GAD-7 (p<.001), whereas there was no difference in family relationship for those without ACEs on GA (p=.501).

ACEs increases the vulnerability to GA later in life. However, its effect on anxiety decreases when one has a better family relationship. This suggests a possible moderating role of family relationship in developing GA among younger people.

The 2019 coronavirus disease (COVID-19) is a global health crisis that originated in China. As an adjacent city to the origin of COVID-19, Hong Kong has been facing different public health challenges raised by the epidemic.

This paper examined the prevalence of common physical symptoms, psychological symptoms, somatic symptoms, and health anxiety among the Hong Kong youth population.

HKYES is an on-going territory-wide epidemiological study collecting youth mental health data with randomly stratified sampling. Participants aged 15-24 years were to complete a physical symptom checklist, Depression, Anxiety and Stress Scale (DASS-21), Insomnia Severity Index (ISI), Patient Health Questionnaire-15 (PHQ-15), and Short Health Anxiety Inventory (SHAI).

A total of 594 participants have completed the survey since April 2020. The three most common physical symptoms were headache (n=106, 17.8%), fever (n=94, 15.8%) and fatigue (n=78, 13.1%). The mean scores of DASS depression, anxiety and stress subscales were 7.98 (SD 8.14), 5.81 (SD 6.32), and 8.83 (SD 7.93) respectively. Among all, 135 (22.8%) participants reported moderate to severe levels of depressive symptoms, 133 (22.4%) reported moderate to severe levels of anxiety symptoms, and 71 (12%) reported moderate to severe levels of stress. There were 40 (6.7%) and 60 (10.1%) participants showing significant levels of insomnia and somatic symptoms, while around one-third of the participants reported a high level of health anxiety.

Youth is at risk of severe psychological impact during the coronavirus. Monitoring the mental health trajectory for youth should become routine practice during times of crisis.

Socioeconomic status (SES) are well known to be associated with mental health. Previous studies are often restricted by the use of individual SES indicators, while contextual measures aggregating multiple dimensions would present a better picture of SES in multivariate context.

The present study aims to construct the socioeconomic index (SEI) by integrating significant socioeconomic factors in predicting mental health of young adults in Hong Kong.

Data were drawn from the Hong Kong Youth Epidemiological Study of Mental Health (HKYES), a population-based psychiatric study of young people in Hong Kong. The present study exacted data of 1,164 participants who had completed baseline interviews between April 2019 to August 2020. Socioeconomic characteristics including age, gender, education years, income, expenditure, home ownership, housing type, household crowdedness and parental occupation were collected. Data were checked for the assumptions for normality, linearity and homoscedasticity before the standardized SEI were derived using Principal Component Analysis (PCA). Logistic regression analyses were performed to further examine the association between SEI and mental health outcomes.

Our results identified five significant socioeconomic factors (education years, personal income, home ownership, housing type and household crowdedness) which together explained 67.7% of the total variation. SEI was associated with depression (OR=0.671, p=.003) and anxiety (OR=0.667, p=.015) after adjusting for potential confounders.

The PCA-generated SEI took account of the multiple dimensions of SES in younger adults including education, income, expenditure and housing. The indices would provide meaningful contextual information of SES across geographical areas or different groups of interest.

No significant relationships.

Bipolar disorder is associated with premature mortality, but evidence is mostly derived from Western countries. There has been no research evaluating shortened lifespan in bipolar disorder using life-years lost (LYLs), which is a recently developed mortality metric taking into account illness onset for life expectancy estimation. The current study aimed to examine the extent of premature mortality in bipolar disorder patients relative to the general population in Hong Kong (HK) in terms of standardised mortality ratio (SMR) and excess LYLs, and changes of mortality rate over time.

This population-based cohort study investigated excess mortality in 12 556 bipolar disorder patients between 2008 and 2018, by estimating all-cause and cause-specific SMRs, and LYLs. Trends in annual SMRs over the 11-year study period were assessed. Study data were retrieved from a territory-wide medical-record database of HK public healthcare services.

Patients had higher all-cause [SMR: 2.60 (95% CI: 2.45–2.76)], natural-cause [SMR: 1.90 (95% CI: 1.76–2.05)] and unnatural-cause [SMR: 8.63 (95% CI: 7.34–10.03)] mortality rates than the general population. Respiratory diseases, cardiovascular diseases and cancers accounted for the majority of deaths. Men and women with bipolar disorder had 6.78 (95% CI: 6.00–7.84) years and 7.35 (95% CI: 6.75–8.06) years of excess LYLs, respectively. The overall mortality gap remained similar over time, albeit slightly improved in men with bipolar disorder.

Bipolar disorder is associated with increased premature mortality and substantially reduced lifespan in a predominantly Chinese population, with excess deaths mainly attributed to natural causes. Persistent mortality gap underscores an urgent need for targeted interventions to improve physical health of patients with bipolar disorder.

To determine whether the order in which healthcare workers perform patient care tasks affects hand hygiene compliance.

For this retrospective analysis of data collected during the Strategies to Reduce Transmission of Antimicrobial Resistant Bacteria in Intensive Care Units (STAR*ICU) study, we linked consecutive tasks healthcare workers performed into care sequences and identified task transitions: 2 consecutive task sequences and the intervening hand hygiene opportunity. We compared hand hygiene compliance rates and used multiple logistic regression to determine the adjusted odds for healthcare workers (HCWs) transitioning in a direction that increased or decreased the risk to patients if healthcare workers did not perform hand hygiene before the task and for HCWs contaminating their hands.

The study was conducted in 17 adult surgical, medical, and medical-surgical intensive care units.

HCWs in the STAR*ICU study units.

HCWs moved from cleaner to dirtier tasks during 5,303 transitions (34.7%) and from dirtier to cleaner tasks during 10,000 transitions (65.4%). Physicians (odds ratio [OR]: 1.50; P < .0001) and other HCWs (OR, 2.15; P < .0001) were more likely than nurses to move from dirtier to cleaner tasks. Glove use was associated with moving from dirtier to cleaner tasks (OR, 1.22; P < .0001). Hand hygiene compliance was lower when HCWs transitioned from dirtier to cleaner tasks than when they transitioned in the opposite direction (adjusted OR, 0.93; P < .0001).

HCWs did not organize patient care tasks in a manner that decreased risk to patients, and they were less likely to perform hand hygiene when transitioning from dirtier to cleaner tasks than the reverse. These practices could increase the risk of transmission or infection.