The COVID-19 pandemic has disrupted lives and livelihoods, and people already experiencing mental ill health may have been especially vulnerable.

Quantify mental health inequalities in disruptions to healthcare, economic activity and housing.

We examined data from 59 482 participants in 12 UK longitudinal studies with data collected before and during the COVID-19 pandemic. Within each study, we estimated the association between psychological distress assessed pre-pandemic and disruptions since the start of the pandemic to healthcare (medication access, procedures or appointments), economic activity (employment, income or working hours) and housing (change of address or household composition). Estimates were pooled across studies.

Across the analysed data-sets, 28% to 77% of participants experienced at least one disruption, with 2.3–33.2% experiencing disruptions in two or more domains. We found 1 s.d. higher pre-pandemic psychological distress was associated with (a) increased odds of any healthcare disruptions (odds ratio (OR) 1.30, 95% CI 1.20–1.40), with fully adjusted odds ratios ranging from 1.24 (95% CI 1.09–1.41) for disruption to procedures to 1.33 (95% CI 1.20–1.49) for disruptions to prescriptions or medication access; (b) loss of employment (odds ratio 1.13, 95% CI 1.06–1.21) and income (OR 1.12, 95% CI 1.06 –1.19), and reductions in working hours/furlough (odds ratio 1.05, 95% CI 1.00–1.09) and (c) increased likelihood of experiencing a disruption in at least two domains (OR 1.25, 95% CI 1.18–1.32) or in one domain (OR 1.11, 95% CI 1.07–1.16), relative to no disruption. There were no associations with housing disruptions (OR 1.00, 95% CI 0.97–1.03).

People experiencing psychological distress pre-pandemic were more likely to experience healthcare and economic disruptions, and clusters of disruptions across multiple domains during the pandemic. Failing to address these disruptions risks further widening mental health inequalities.

Cyberbullying is increasingly recognised as a threat for young people’s mental health. Young people and their families may not know how to stay safe online or how to respond following unsafe internet experiences. This study aimed to examine Child and Adolescent Mental Health Service (CAMHS) staff perceived knowledge, practice and attitudes towards cyberbullying (CB) and internet safety (IS), and their training needs.

A descriptive, survey design was used. 59 CAMHS clinicians completed a study specific online survey examining their knowledge, practice, attitudes and training needs regarding CB and IS. Frequency and descriptive statistics were conducted on participant responses.

Clinicians reported that risky internet behaviour and CB were frequent experiences reported by youth attending their clinical practice. Professionals were aware of potential adverse effects on the young person, including social withdrawal, low self-esteem, anxiety, self-injurious behaviour and suicidal thoughts. Training for young people on online behaviour and good digital citizenship skills was a highly endorsed preference. The majority of respondents felt CAMHS staff have a role in supporting families and managing IS and identified training and resource materials as strategies to assist them in this regard.

Findings support a need for clinicians to regularly inquire about internet use, safety and adverse online experiences. The ongoing development of resources and training in CB and IS for CAMHS clinicians, children and caregivers is necessary. Further research is warranted due to the small sample size and the subjective nature of the current study.

Drop-out is an important barrier in treating post-traumatic stress disorder (PTSD) with consequences that negatively impact clients, clinicians and mental health services as a whole. Anger is a common experience in people with PTSD and is more prevalent in military veterans. To date, no research has examined if anger may predict drop-out in military veterans or first responders.

The present study aimed to determine the variables that predict drop-out among individuals receiving residential treatment for PTSD.

Ninety-five military veterans and first responders completed pre-treatment measures of PTSD symptom severity, depression, anxiety, anger, and demographic variables. Logistic regression analyses were used to determine if these variables predicted drop-out from treatment or patterns of attendance.

Female gender was predictive of drop-out. However, when analysed by occupation female gender was predictive of drop-out among first responders and younger age was predictive of drop-out in military participants. Anger, depression, anxiety and PTSD symptom severity were not predictive of drop-out in any of the analyses. No variables were found to predict attendance patterns (consistent or inconsistent) or early versus late drop-out from the programme.

These results suggest that although anger is a relevant issue for treating PTSD, other factors may be more pertinent to drop-out, particularly in this sample. In contrast with other findings, female gender was predictive of drop-out in this study. This may indicate that in this sample, there are unique characteristics and possible interacting variables that warrant exploration in future research.

The relationships between offspring depression profiles across adolescence and different timings of parental depression during the perinatal period remain unknown.

To explore different timings of maternal and paternal perinatal depression in relation to patterns of change in offspring depressive mood over a 14 year period.

Data were obtained from the Avon Longitudinal Study of Parents and Children (ALSPAC). Parental antenatal depression (ANTD) was assessed at 18 weeks gestation, and postnatal depression (PNTD) at 8 weeks postpartum. Population-averaged trajectories of offspring depressive symptoms were estimated using the Short Mood and Feelings Questionnaire (SMFQ) on nine occasions between 10 and 24 years of age.

Full data were available for 5029 individuals. Offspring exposed to both timings of maternal depression had higher depressive symptoms across adolescence compared with offspring not exposed to ANTD or PNTD, characterised by higher depressive symptoms at age 16 (7.07 SMFQ points (95% CI = 6.19, 7.95; P < 0.001)) and a greater rate of linear change (0.698 SMFQ points (95% CI = 0.47, 0.93; P = 0.002)). Isolated maternal ANTD and to a lesser extent PNTD were also both associated with higher depressive symptoms at age 16, yet isolated maternal PNTD showed greater evidence for an increased rate of linear change across adolescence. A similar pattern was observed for paternal ANTD and PNTD, although effect sizes were attenuated.

This study adds to the literature demonstrating that exposure to two timings of maternal depression (ANTD and PNTD) is strongly associated with greater offspring trajectories of depressive symptoms.

The most common treatment for major depressive disorder (MDD) is antidepressant medication (ADM). Results are reported on frequency of ADM use, reasons for use, and perceived effectiveness of use in general population surveys across 20 countries.

Face-to-face interviews with community samples totaling n = 49 919 respondents in the World Health Organization (WHO) World Mental Health (WMH) Surveys asked about ADM use anytime in the prior 12 months in conjunction with validated fully structured diagnostic interviews. Treatment questions were administered independently of diagnoses and asked of all respondents.

3.1% of respondents reported ADM use within the past 12 months. In high-income countries (HICs), depression (49.2%) and anxiety (36.4%) were the most common reasons for use. In low- and middle-income countries (LMICs), depression (38.4%) and sleep problems (31.9%) were the most common reasons for use. Prevalence of use was 2–4 times as high in HICs as LMICs across all examined diagnoses. Newer ADMs were proportionally used more often in HICs than LMICs. Across all conditions, ADMs were reported as very effective by 58.8% of users and somewhat effective by an additional 28.3% of users, with both proportions higher in LMICs than HICs. Neither ADM class nor reason for use was a significant predictor of perceived effectiveness.

ADMs are in widespread use and for a variety of conditions including but going beyond depression and anxiety. In a general population sample from multiple LMICs and HICs, ADMs were widely perceived to be either very or somewhat effective by the people who use them.