One year after the COVID-19 outbreak in Germany: long-term changes in depression,anxiety, loneliness,distress and life satisfaction

Several studies have linked the COVID-19 pandemic to unfavorable mental health outcomes. However, we know little about long-term changes in mental health due to the pandemic so far. Here, we used longitudinal data from a general population sample of 1388 adults from Germany, who were initially assessed between April and May 2020 (i.e., at the beginning of the COVID-19 pandemic in Germany) and prospectively followed up after 6 (n = 1082) and 12 months (n = 945). Depressive and anxiety symptoms as well as loneliness did not change from baseline to 6-month follow-up. While anxiety symptoms did not change in the long run, depressive symptoms and loneliness increased and life satisfaction decreased from baseline to 12-month follow-up. Moreover, vulnerable groups such as younger individuals or those with a history of mental disorders exhibited an overall higher level of psychopathological symptoms across all assessment waves. Our findings suggest a deterioration in mental health during the course of the COVID-19 pandemic, which emphasizes the importance to implement targeted health promotions to prevent a further symptom escalation especially in vulnerable groups.

     

Working from home and positive/negative experiences due to social distancing as interacting factors of depressive symptoms during the COVID-19 pandemic in a Chinese general population

Purpose

This study investigated the associations between some factors related to working from home status (WFHS) and positive/negative experiences due to social distancing and their interactions effects on depressive symptoms during the COVID-19 pandemic.

Methods

A random population-based telephone survey interviewed income-earning adults in the Hong Kong general population during April 21–28, 2020 (n = 200).

Results

Mild to severe depression (according to PHQ-9) was reported by 12% of the participants. The prevalence of WFHS categories was 14% for 3–7 days and 13% for ≥ 8 days (past 2 weeks). The multivariable regression analysis showed that, social isolation (β = 0.36; p < 0.001), relaxation feeling in daily life (β = − 0.22; p = 0.002), and WFHS ≥ 8 days (β = 0.15; p = 0.027), but not perceived huge inconvenience and improved family relationship, were associated with depressive symptoms. Statistically significant interaction effects were found. Some positive experiences buffered the potential harms of some negative experiences of social distancing on depressive symptoms; WFHS ≥ 8 days significantly moderated the risk/protective effects of social isolation, improved family relationship, and relaxation feeling on depressive symptoms.

Conclusions

Social distancing is double-edged. Positive experiences should be maximized while negative experiences be minimized, as both were directly and interactively associated with depression. Intensive but not mild to moderate (< 80%) WFHS may impact depressive symptoms negatively via its direct association with depression; it also moderated the associations between positive/negative experiences due to social distancing and depression. Further research is required to discern the inter-relationships among WFHS, positive/negative experiences of social distancing, and depression to better cope with the stressful pandemic.

     

Exploring depressive symptoms and its associates among Bangladeshi older adults amid COVID-19 pandemic: findings from a cross-sectional study

Purpose

Depression, one of the most common mental disorders, is up-surging worldwide amid the ongoing coronavirus disease 2019 (COVID-19) pandemic, especially among the older population. This study aims to measure prevalent depressive symptoms and its associates among older adults amid the COVID-19 pandemic in Bangladesh.

Methods

This cross-sectional study was carried out among 1032 older Bangladeshi adults, aged 60 years and above, through telephone interviews in October 2020. We used a semi-structured questionnaire to collect data on participants’ socio-demographic and lifestyle characteristics, pre-existing medical conditions, and COVID-19-related information. Meanwhile, depressive symptoms were measured using the 15-item Geriatric Depression Scale (GDS-15). The binary logistic regression model was used to identify the factors associated with depressive symptoms.

Results

Two-in-five participants showed depressive symptoms on the GDS-15 scale. Poor socioeconomic characteristic such as low family income, dependency on the family for living, recipient of financial support during the pandemic was associated with higher odds of depressive symptoms. Participants with pre-existing medical conditions had 91% higher odds of depressive symptoms. Social isolation, captured in terms of living alone (aOR = 2.11, 95% CI 1.11–4.01), less frequent communication during pandemic (aOR = 1.55, 95% CI 1.07–2.26), perceived loneliness (aOR = 2.25, 95% CI 1.47–3.45), and isolation from others (aOR = 2.45, 95% CI 1.62–3.70) were associated with higher odds of depressive symptoms.

Conclusions

Our study found a sizeable proportion of study participants with depressive symptoms amidst the ongoing pandemic. The findings of the present study call for the urgent need for mental health support package targeting this vulnerable group of population.

     

Depression and loneliness during April 2020 COVID-19 restrictions in the United States,and their associations with frequency of social and sexual connections

Purpose

To estimate the prevalence of depression and loneliness during the US COVID-19 response, and examine their associations with frequency of social and sexual connections.

Methods

We conducted an online cross-sectional survey of a nationally representative sample of American adults (n = 1010), aged 18–94, running from April 10–20, 2020. We assessed depressive symptoms (CES-D-10 scale), loneliness (UCLA 3-Item Loneliness scale), and frequency of in-person and remote social connections (4 items, e.g., hugging family member, video chats) and sexual connections (4 items, e.g., partnered sexual activity, dating app use).

Results

One-third of participants (32%) reported depressive symptoms, and loneliness was high [mean (SD): 4.4 (1.7)]. Those with depressive symptoms were more likely to be women, aged 20–29, unmarried, and low-income. Very frequent in-person connections were generally associated with lower depression and loneliness; frequent remote connections were not.

Conclusions

Depression and loneliness were elevated during the early US COVID-19 response. Those who maintained very frequent in-person, but not remote, social and sexual connections had better mental health outcomes. While COVID-19 social restrictions remain necessary, it will be critical to expand mental health services to serve those most at-risk and identify effective ways of maintaining social and sexual connections from a distance.

     

Inequalities in mental health,self-rated health,and social support among sexual minority young adults during the COVID-19 pandemic: analyses from the UK Millennium Cohort Study

Purpose

Young adults who self-identify as a sexual minority may have been particularly harmed by the consequences of lockdown, closure of educational institutions, and social distancing measures as they are likely to have been confined in households that may not be supportive of their sexual orientation. We examine inequalities in the mental health and self-rated health of sexual minority young adults, compared to their heterosexual peers, at the height of lockdown restrictions in the UK.

Methods

We analysed data from singletons who participated in waves 6, 7, and the wave 1 COVID-19 survey (n = 2211) of the Millennium Cohort Study, a nationally representative longitudinal study of infants born in the UK between September 2000 and January 2002. Regression models compared the mental health, self-rated health, and social support of sexual minority young adults to that of their heterosexual peers.

Results

One in four young adults self-identified with a sexual orientation or attraction other than completely heterosexual. Sexual minority young adults had significantly lower levels of social support (β =  − 0.38, SE 0.08), poorer self-rated health (OR 3.91, 95% CI 2.41–6.34), and higher levels of psychological distress (β = 2.26, SE 0.34), anxiety (β = 0.40, SE 0.15), and loneliness (β = 0.66, SE 0.18) when compared to heterosexual young adults.

Conclusions

Sexual minority young adults in the UK have been detrimentally impacted by the coronavirus pandemic, experiencing inequalities in mental health, self-rated health, and social support when compared to heterosexual young adults. Implications for policy and practice include a stronger provision of safe spaces in the community and in institutions, and policies that address marginalisation and harassment.

     

Self-reported mental health symptoms,quality of life and coping strategies in French health sciences students during the early stage of the COVID-19 pandemic: An online survey

IntroductionHealth sciences students usually report high rates of mental health problems. The COVID-19 pandemic context may have serious psychological impacts in this at-risk population. We aimed to assess the self-reported mental health status, health-related quality of life and coping strategies of health sciences students during the early stage of the pandemic.MethodAn online 128-item questionnaire sent to 17,673 health sciences students from the Claude Bernard University Lyon 1 in April 2020 assessed: a) sociodemographic characteristics, b) conditions of lockdown, c) depressive (Beck Depression Inventory- Short Form, BDI-SF), anxiety (State-Trait Anxiety Inventory-A, STAI-A) and traumatic symptoms (Impact of Event Scale -Revised, IES-R), d) health-related quality of life (SF12) and e) coping strategies (Brief Coping Orientation to Problems Experienced, Brief COPE).ResultsThe participation rate was 9.9% (n = 1,765). A total of 19.5% of participants reported an IES-R > 33, 11.6% depressive symptoms, 58.1% anxiety symptoms, and 4.4% suicidal ideation. Their mental health-related quality of life was significantly poorer than for physical health. Female gender, COVID-like symptoms, social isolation due to the lockdown, pandemic-related financial restraint and exams-related stress were significantly associated with poorer self-reported mental health conditions. Volunteering in the healthcare system was significantly associated with lower mental health scores. Coping strategies were mostly oriented toward avoidance and positive appraisal.ConclusionFrench health sciences students exhibited high levels of self-reported mental health problems and a poor mental health-related quality of life during the early stage of the COVID-19 pandemic. Specific risk factors related to the pandemic partly explain the observed prevalence.     

Understanding Psychological Distress and Protective Factors Amongst Older Adults During the COVID-19 Pandemic

ObjectivesThis study examined the emotional distress and loneliness during COVID-19 and the roles of resiliency and activities.DesignA cross-sectional national survey.SettingAmazon Mechanical Turk (mTurk) and Prolific Research Platforms.ParticipantsFive hundred and one U.S. dwelling English-speaking adults 60 years old and older.MeasurementsParticipants completed an online survey with the PHQ-9; GAD-7; Short Health Anxiety Inventory; 3-item UCLA Loneliness scale; PROMIS measures of global health, instrumental, and emotional support; 10-item Connor-Davidson Resilience Scale; and COVID-19 needs assessment.ResultsAcross the sample 13% reported moderate depressive symptoms, 9% reported moderate anxiety symptoms, and 26% endorsed being “lonely.” The emotionally distressed group endorsed more loneliness, lower resiliency, less physical exercise, and worse physical health. The low Socio-Economic Status group endorsed less loneliness, less likely to engage in physical exercise and worse physical health.The lonely group endorsed less resilience, less physical exercise, and worse physical health. A multiple logistic regression found that resilience, socioeconomic status, and physical health were significant predictors of loneliness, whereas global health was the best predictor of emotional distress.ConclusionsEven after prolonged social distancing, older adults in this study did not report greater psychological distress compared to earlier studies of older adults during COVID-19. Older adults with lower SES, worse physical health, and less resiliency, were more likely to report more loneliness. It is this group that should be the focus of intervention.     

Psychological distress among adults from the urban and rural areas affected by the Ebola virus disease in the Democratic Republic of the Congo

Purpose

Ebola virus disease (EVD) is associated with high anxiety and multiple bereavement that can induce severe psychological distress (SPD) in individuals living in affected communities. Using data from the EVD and Mental Health project (EboMH), this study assessed the prevalence and determinants of SPD symptoms in a representative sample of adults in communities affected by EVD.

Methods

A representative sample of 1614 adults (50% women) aged 18–85 years completed measures assessing exposure level to EVD, stigmatization related to EVD, and psychological distress.

Results

In total, 45.58% of individuals from the cities and villages affected by EVD reported SPD. Results showed significant differences for residence area, employment, age, education level, and religion, but not for gender. Exposure level to EVD (β = 0.11, p < 0.001; OR = 1.12, 95% CI [1.08–1.16]), stigmatization related to EVD (β = 0.06, p < 0.001; OR = 1.06, 95% CI [1.05–1.07]), and living in rural areas (β = 0.67, p < 0.001; OR = .51, 95% CI [.36–.72]) predicted SPD symptoms.

Conclusions

Evidence-based global mental health programs in high-risk mortality epidemic contexts should take into account the high psychological distress in the affected areas.

     

Hit the chronic… physical activity: are cannabis associated mental health changes in adolescents attenuated by remaining active?

Purpose

High-frequency cannabis use in adolescents has been associated with adult mental illness. In contrast, physical activity has been demonstrated to benefit mental health status. The purpose of this study was to examine whether, within a 1-year prospective study design, changes in cannabis use frequency are associated with changes in mental health, and whether meeting physical activity guidelines moderates these associations.

Methods

COMPASS (2012–2021) is a hierarchical longitudinal health data survey from a rolling cohort of secondary school students across Canada; student-level mental health data linked from Years 5 (2016/17) and 6 (2017/18) were analysed (n = 3173, 12 schools). Multilevel conditional change regression models were used to assess associations between mental health scores change, cannabis use change and physical activity guideline adherence change after adjusting for covariates.

Results

Adopting at least weekly cannabis use was associated with increases in depressive and anxiety symptoms and decreases in psychosocial well-being. Maintaining physical activity guidelines across both years improved psychosocial well-being regardless of cannabis use frequency, and offset increases in depressive symptoms among individuals who adopted high frequency cannabis use. Physical activity adherence had no apparent relationship with anxiety symptoms.

Conclusion

Regardless of the sequence of events, adopting high frequency cannabis use may be a useful behavioural marker of current or future emotional distress, and the need for interventions to address mental health. Physical activity adherence may be one approach to minimizing potential changes in mental health associated with increasing cannabis use.

     

Mental health of clinical staff working in high-risk epidemic and pandemic health emergencies a rapid review of the evidence and living meta-analysis

Purpose

The SARS-CoV-2 / COVID-19 pandemic has raised concerns about the potential mental health impact on frontline clinical staff. However, given that poor mental health is common in acute medical staff, we aimed to estimate the additional burden of work involving high exposure to infected patients.

Methods

We report a rapid review, meta-analysis, and living meta-analysis of studies using validated measures from outbreaks of COVID-19, Ebola, H1N1 influenza, Middle East respiratory syndrome (MERS), and severe acute respiratory syndrome (SARS).

Results

A random effects meta-analysis found that high-exposure work is not associated with an increased prevalence of above cut-off scoring (anxiety: RR = 1.30, 95% CI 0.87–1.93, Total N = 12,473; PTSD symptoms: RR = 1.16, 95% CI 0.75–1.78, Total N = 6604; depression: RR = 1.50, 95% CI 0.57–3.95, Total N = 12,224). For continuous scoring, high-exposure work was associated with only a small additional burden of acute mental health problems compared to low-exposure work (anxiety: SMD = 0.16, 95% CI 0.02–0.31, Total N = 6493; PTSD symptoms: SMD = 0.20, 95% CI 0.01–0.40, Total N = 5122; depression: SMD = 0.13, 95% CI -0.04–0.31, Total N = 4022). There was no evidence of publication bias.

Conclusion

Although epidemic and pandemic response work may add only a small additional burden, improving mental health through service management and provision of mental health services should be a priority given that baseline rates of poor mental health are already very high. As new studies emerge, they are being added to a living meta-analysis where all analysis code and data have been made freely available: https://osf.io/zs7ne/.

     

COVID-19 stressors and symptoms of depression and anxiety among Black cisgender sexual minority men and Black transgender women during the initial peak of the COVID-19 pandemic

Purpose

To examine associations between COVID-19-related stressors and symptoms of depression and anxiety in Black cisgender sexual minority men (SMM) and transgender women during the initial peak of the COVID-19 pandemic.

Methods

Participants from the N2 Cohort Study comprised Black cisgender SMM and Black transgender women in Chicago, IL, completed a face-to-face video or phone interview between April 20 and July 31, 2020. The survey included 18 measures of individual, network, and structural COVID-19 stressors such as income loss, network COVID-19 diagnoses, and housing loss, as well as 5 outcome measures: anxiety, depression, loneliness, worry and hope.

Results

Of 226 participants, 56.6% experienced anxiety on at least 1 of the last 14 days, 48.7% experienced depression, 48.7% experienced loneliness, 42.0% experienced worry, and 51.8% did not experience hope. Completing the study during a later phase of reopening was associated with hopefulness, RR = 1.37 95% CI [1.02, 1.85]. Fifteen of the 18 multi-level COVID-19 stressors were associated with 1 or more symptoms of depression and anxiety, for example, physical stress reactions, income loss, food loss, medication loss, network COVID-19 diagnoses, partner violence, housing loss, and neighborhood pandemic concerns (aRRs = 0.61–2.78, ps < 0.05).

Conclusion

COVID-19-related stressors were associated with depression and anxiety symptoms in Black cisgender SMM and transgender women. Mitigation strategies to reduce virus transmission should be supplemented with measures to prevent depression and anxiety among marginalized populations, such as targeted economic relief and eHealth/mHealth interventions.

     

Factors related to mental health of inpatients with COVID-19 in Wuhan,China

ObjectiveTo evaluate the mental health status of hospitalized patients with coronavirus disease 2019 (COVID-19) and to explore the related factors.MethodThis was a cross-sectional survey among COVID-19 inpatients in two isolation wards of a designated hospital in Wuhan, China, from March 7, 2020, to March 24, 2020. Participants’ demographic data, clinical data and levels of circulating inflammatory markers were collated. Mental health symptoms were evaluated with questionnaires, which included the Insomnia Severity Index (ISI) scale, the 9-item Patient Health Questionnaire (PHQ-9), the 7-item Generalized Anxiety Disorder (GAD-7) scale, and questions about patients’ self-perceived illness severity. Multivariate linear regression analysis was performed to explore factors that associated with mental symptoms, and a structural equation model (SEM) was used to assess the possible relationships between those factors and the patients’ mental health.ResultsAmong the 85 participants, 45.9% had symptoms of depression (PHQ-9 ≥ 5), 38.8% had anxiety (GAD-7 ≥ 5), and 54.1% had insomnia (ISI ≥ 8). According to multivariate regression analysis, female sex, a higher level of interleukin (IL)-1β and greater self-perceived illness severity were all significantly associated with a higher PHQ-9 score, higher GAD-7 score and higher ISI score. In addition, the disease duration and the neutrophil to lymphocyte ratio (NLR) were positively related to patients’ self-perceived illness severity. The results of the SEM analyses suggested that sex (β = 0.313, P < 0.001), self-perceived illness severity (β = 0.411, P < 0.001) and levels of inflammatory markers (β = 0.358, P = 0.002) had direct effects on patients’ mental health. The disease duration (β = 0.163, P = 0.003) and levels of inflammatory markers (β = 0.101, P = 0.016) also indirectly affected patients’ mental health, with self-perceived illness severity acting as a mediator.ConclusionA majority of COVID-19 infected inpatients reported experiencing mental health disturbances. Female sex, disease duration, levels of inflammatory markers and self-perceived illness severity are factors that could be used to predict the severity of patients’ mental symptoms.     

Early age of onset of mood,anxiety and alcohol use disorders is associated with sociodemographic characteristics and health outcomes in adults: results from a cross-sectional national survey

Purpose

This cross-sectional study investigated distribution, sociodemographic correlates, and health outcomes in early versus late age of onset (AOO) of mood, anxiety, and alcohol use disorders in Singapore.

Methods

The Composite International Diagnostic Interview established lifetime diagnoses of major depressive, bipolar, generalized anxiety, obsessive compulsive and alcohol use disorders in a representative sample of residents aged 18 years and over (n = 6126). The AOO of the individual and any mental disorders were classified into early and late onset using median values as cut-offs. Data included socio-demographic and health background, health utility score, and productivity losses. Multivariable logistic regression analysis was conducted to assess sociodemographic correlates of early versus late AOO of any mental disorder while linear regression analysis investigated the associations between AOO of individual disorders with health utility score and productivity loss.

Results

Respondents’ mean (SD) age was 45.6 (16.5) years, comprising 50.5% women and majority of Chinese ethnicity (75.8%). The median AOO for any of the five studied disorders was 21 years (IQR: 15–29). Lowest AOO was observed for obsessive compulsive disorder (Median: 14, IQR: 11–26). Those aged 35 years and over (versus 18–34) were less likely to have earlier AOO [35–49 years (OR: 0.287; 95% CI: 0.154–0.534); 50–64 years (OR:0.156; 95% CI: 0.068–0.361) and 65 and over (OR:0.112; 95% CI:0.027–0.461)], while Malay ethnicity (versus Chinese) (OR: 2.319; 95% CI: 1.384–3.885) and being never married (versus married) (OR: 2.731; 95% CI: 1.493–4.993) were more likely to have early AOO for any mental disorder. Sample with early (versus late) AOO had a lower health utility score (β =  − 0.06,95% CI: − 0.08 to − 0.03) and higher number of days cut down on the type of work (β = 1.61,95% CI: 0.12–3.10) in those with any mental disorders.

Conclusion

This study showed that half of the adults with mood, anxiety or alcohol use disorders in Singapore experienced their illness onset by 21 years of age. Early AOO is associated with sociodemographic background and poor health outcomes. Prevention, early detection, and interventions to improve health outcomes in mental disorders should consider the sociodemographic profile and age at first onset of symptoms in the population.

     

The mediation role of sleep quality in the association between the incidence of unhealthy movement behaviors during the COVID-19 quarantine and mental health

BackgroundOur aim was to investigate the mediating role of worsening sleep quality in the association of the incidence of physical inactivity, high TV-viewing, and high computer/tablet use with loneliness, sadness, and anxiety.MethodsData of 45,161 Brazilian adults from a nationwide behavior survey, conducted between April 24th and May 24th (2020), were used. Participants reported physical inactivity (PI; <150 min/week), high TV-viewing (TV; ≥4 h/day), and high computer/tablet use (PC; ≥4 h/day) before and during COVID-19 quarantine (exposures). For incidence indicators, we only considered participants without the risk behavior before quarantine. Changes in sleep quality during the quarantine period (maintained/got better or worsened) were treated as a mediator. Elevated frequencies of feelings of loneliness, sadness (feel sad, crestfallen, or depressed), and anxiety (feel worried, anxious, or nervous) during the pandemic period were the study outcomes. Analyses were adjusted for sex, age group, highest academic achievement, working status during quarantine, skin color, previous diagnosis of depression, and adherence to quarantine. Mediation models were created using the Karlson Holm Breen method.ResultsThe incidence of PI, high TV, and high PC use were associated with loneliness, sadness, and anxiety feelings. Worsening sleep quality partly mediated the association of the incidence of PI, high TV, and high PC use with loneliness (PI:30.9%; TV:19.6%; PC: 30.5%), sadness (PI:29.8%; TV:29.3%; PC: 39.1%), and anxiety (PI:21.9%; TV:30.0%; PC:38.5%).ConclusionThe association of the incidence of physical inactivity and sedentary behaviors with mental health indicators is partly mediated by worsening sleep quality during the COVID-19 pandemic quarantine.     

Explaining ethnic variations in adolescent mental health: a secondary analysis of the Millennium Cohort Study

Purpose

The relationship between ethnicity and adolescent mental health was investigated using cross-sectional data from the nationally representative UK Millennium Cohort Study.

Methods

Parental Strengths and Difficulties Questionnaire reports identified mental health problems in 10,357 young people aged 14 (n = 2042 from ethnic minority backgrounds: Mixed n = 492, Indian n = 275, Pakistani n = 496, Bangladeshi n = 221, Black Caribbean n = 102, Black African n = 187, Other Ethnic Group n = 269). Univariable logistic regression models investigated associations between each factor and outcome; a bivariable model investigated whether household income explained differences by ethnicity, and a multivariable model additionally adjusted for factors of social support (self-assessed support, parental relationship), participation (socialising, organised activities, religious attendance), and adversity (bullying, victimisation, substance use). Results were stratified by sex as evidence of a sex/ethnicity interaction was found (P = 0.0002).

Results

There were lower unadjusted odds for mental health problems in boys from Black African (OR 0.15, 95% CI 0.04–0.61) and Indian backgrounds (OR 0.42, 95% CI 0.21–0.86) compared to White peers. After adjustment for income, odds were lower in boys from Black African (OR 0.10, 95% CI 0.02–0.38), Indian (OR 0.40, 95% CI 0.21–0.77), and Pakistani (OR 0.49, 95% CI 0.27–0.89) backgrounds, and girls from Bangladeshi (OR 0.18, 95% CI 0.05–0.65) and Pakistani (OR 0.63, 95% CI 0.41–0.99) backgrounds. After further adjustment for social support, participation, and adversity factors, only boys from a Black African background had lower odds (OR 0.16, 95% CI 0.03–0.71) of mental health problems.

Conclusions

Household income confounded lower prevalence of mental health problems in some young people from Pakistani and Bangladeshi backgrounds; findings suggest ethnic differences are partly but not fully accounted for by income, social support, participation, and adversity. Addressing income inequalities and socially focused interventions may protect against mental health problems irrespective of ethnicity.

     

Distressing psychotic-like experiences,cognitive functioning and early developmental markers in clinically referred young people aged 8–18 years

Purpose

Neurocognitive difficulties and early childhood speech/motor delays are well documented amongst older adolescents and young adults considered at risk for psychosis-spectrum diagnoses. We aimed to test associations between unusual or psychotic-like experiences (PLEs), co-occurring distress/emotional symptoms, current cognitive functioning and developmental delays/difficulties in young people (aged 8–18 years) referred to Child and Adolescent Mental Health Services in South London, UK.

Methods

Study 1 examined receptive language, verbal learning and caregiver-reported speech and motor delays/difficulties in a sample of 101 clinically-referred children aged 8–14 years, comparing those reporting no PLEs (n = 19), PLEs without distress (n = 16), and PLEs with distress (n = 66). Study 2 tested associations of severity of distressing PLEs with vocabulary, perceptual reasoning, word reading and developmental delays/difficulties in a second sample of 122 adolescents aged 12–18 years with distressing PLEs.

Results

In Study 1, children with distressing PLEs had lower receptive language and delayed recall and higher rates of developmental delays/difficulties than the no-PLE and non-distressing PLE groups (F values: 2.3–2.8; p values: < 0.005). Receptive language (β = 0.24, p = 0.03) and delayed recall (β = − 0.17, p = 0.02) predicted PLE distress severity. In Study 2, the cognitive-developmental variables did not significantly predict PLE distress severity (β values = 0.01–0.22, p values: > 0.05).

Conclusion

Findings may be consistent with a cognitive-developmental model relating distressing PLEs in youth with difficulties in cognitive functioning. This highlights the potential utility of adjunctive cognitive strategies which target mechanisms associated with PLE distress. These could be included in cognitive-behavioural interventions offered prior to the development of an at-risk mental state in mental health, educational or public health settings.

     

From adolescence to parenthood: a multi-decade study of preconception mental health problems and postpartum parent–infant bonds

Purpose

To examine associations between anxiety and depressive symptoms across adolescence and young adulthood with subsequent maternal- and paternal–infant bonding at 1 year postpartum.

Methods

The data were from a prospective, intergenerational cohort study. Participants (381 mothers of 648 infants; 277 fathers of 421 infants) self-reported depression and anxiety at three adolescent waves (ages 13, 15 and 17 years) and three young adult waves (ages 19, 23 and 27 years). Subsequent parent–infant bonds with infants were reported at 1 year postpartum (parent age 29–35 years). Generalised estimating equations (GEE) separately assessed associations for mothers and fathers.

Results

Mean postpartum bonding scores were approximately half a standard deviation lower in parents with a history of persistent adolescent and young adult depressive symptoms (maternal β_adj = − 0.45, 95% CI − 0.69, − 0.21; paternal β_adj = − 0.55, 95% CI − 0.90, 0.20) or anxiety (maternal β_adj = − 0.42, 95% CI − 0.66, − 0.18; paternal β_adj = − 0.49, 95% CI − 0.95, 0.03). Associations were still mostly evident, but attenuated after further adjustment for postpartum mental health concurrent with measurement of bonding.

Conclusions

Persistent symptoms of depression or anxiety spanning adolescence and young adulthood predict poorer emotional bonding with infants 1-year postbirth for both mothers and fathers.

     

Research-Practice Partnership to Develop and Implement Routine Mental Health Symptom Tracking Tool Among Older Adults During COVID-19

ObjectiveOlder adults are disproportionally impacted by the COVID-19 pandemic, causing a mental health crisis in late life, due to physical restrictions (e.g., quarantine), limited access to services, and lower literacy and access to technology. Despite established benefits, systematic screening of mental health needs of older adults in community and routine care settings is limited and presents multiple challenges. Cross-disciplinary collaborations are essential for identification and evaluation of mental health needs and service delivery.MethodsUsing a research-practice partnership model, we developed and implemented a routine mental health needs identification and tracking tool at a community-based social services organization. Repeated screenings were conducted remotely over 5 months and included depression, anxiety, perceived loneliness, social support, and related domains such as sleep quality, resilience, and trauma symptoms linked to COVID-19. We examined symptomatic distress levels and associations between different domains of functioning.ResultsOur project describes the process of establishing a research-practice partnership during the COVID-19 pandemic. We collected 292 screenings from 124 individuals; clients were mildly to moderately depressed and anxious, reporting large amounts of time alone and moderate levels of loneliness. Those reporting higher depressive symptoms reported higher anxiety symptoms, poorer sleep quality, lower quality of life, lower capacity to adapt to challenging situations, and greater trauma symptoms due to COVID-19.ConclusionOur routine screening tool can serve as a blueprint for case management agencies and senior centers nationwide, beyond the pressing mental health crisis due to COVID-19, to continue identifying needs as they emerge in the community.     

Mental distress among young adults in Great Britain: long-term trends and early changes during the COVID-19 pandemic

Purpose

In Great Britain, few studies documented mental health trends in young adults in the years preceding 2020, the mental health dimensions affected, and how these compare with changes observed during the COVID-19 pandemic.

Methods

Long-term trends in mental health among 16–34 year old men and women between 1991 and 2018, and changes between 2018–19 and July–September 2020 were examined using all waves from the British Household Panel Study (1991–2008), the UK Household Longitudinal Study (2009–20), and the first five UKHLS COVID-19 waves administered in April, May, June, July, and September 2020. Findings are based on the GHQ-12 continuous score (0–36), clinically significant cases (4 + /12) and severe cases (7 + /12) for mental distress, and item endorsements.

Results

Between 1991 and 2018, the prevalence of cases (4 + /12) increased from 14–22% to 19–32% across groups. Increases were largest in women aged 16–24. In April 2020, the risk of caseness (4 + /12) increased across groups by 55% to 80% compared to the 2018–19 baseline. This increase, however, rapidly diminished over time: in July–September 2020, there was only a higher risk of caseness (4 + /12) in men aged 25–34 (prevalence ratio = 1.29, 95% CI 1.01–1.65) compared to the 2018–19 baseline.

Conclusion

Whereas distress surged in April 2020, its return to pre-pandemic levels by September 2020 highlights the nuanced impact that the pandemic may have over time. Given the magnitude of the decline in mental health over the past decade, attention must be given to young adults once the pandemic ends.

     

Not all screen time is created equal: associations with mental health vary by activity and gender

Purpose

Previous research on associations between screen media use and mental health produced mixed findings, possibly because studies have not examined screen activities separately or accounted for gender differences. We sought to examine associations between different types of screen activities (social media, internet, gaming, and TV) and mental health indicators separately for boys and girls.

Methods

We drew from a nationally representative sample of 13–15-year-old adolescents in the UK (n = 11,427) asking about hours per day spent on specific screen media activities and four mental health indicators: self-harm behavior, depressive symptoms, life satisfaction, and self-esteem.

Results

Hours spent on social media and Internet use were more strongly associated with self-harm behaviors, depressive symptoms, low life satisfaction, and low self-esteem than hours spent on electronic gaming and TV watching. Girls generally demonstrated stronger associations between screen media time and mental health indicators than boys (e.g., heavy Internet users were 166% more likely to have clinically relevant levels of depressive symptoms than low users among girls, compared to 75% more likely among boys).

Conclusion

Thus, not all screen time is created equal; social media and Internet use among adolescent girls are the most strongly associated with compromised mental health. Future research should examine different screen media activities and boys and girls separately where possible. Practitioners should be aware that some types of screen time are more likely to be linked to mental health issues than others.