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PurposeThe purpose of this paper is to report on the association between bullying victimisation and various internalizing and externalizing behaviours including anxiety and depression, somatic problems, withdrawn behaviour, aggressive and delinquent behaviour.Design/methodology/approachData for this research come from the Mater‐University of Queensland Study of Pregnancy and its Outcomes (MUSP) a prospective cohort study of mothers and their children which began in Brisbane in 1981, assessing the impact of experiences of being bullied at 14 years of age and YASR outcomes at 21 years of age. Brisbane is the capital city of the State of Queensland, Australia. The site for the research was the Brisbane Mater Misericordiae Mothers' Hospital (MMH), which is one of the two major obstetric units in Brisbane. In effect all pregnant women attending a publicly‐funded obstetrical service over a three‐year period were recruited to the study (about 50 percent of women attend public obstetrical services in Queensland).FindingsThe authors find that: first, there is no association between the experience of being bullied and young adult anxiety and depression, as well as some other outcomes (withdrawn, intrusive behaviour); second, for both males and females, there are increased rates of attention problems for those children who have been bullied; and third, males and females respond somewhat differently to being bullied, with males reporting more aggressive behaviour and females reporting more somatic problems.Originality/valueOverall, the findings suggest that the likely impact of being bullied may not be widespread across mental health domains, and that the impact may differ somewhat depending upon whether the person bullied is a male or female.

BACKGROUND: Bullying victimisation is a global public health problem that has been predominantly studied in high income countries. This study aimed to estimate the population level prevalence of bullying victimisation and its association with peer and parental supports amongst adolescents across low and middle income to high income countries (LMIC—HICs). METHODS: Data were drawn from the Global School-based Student Health Survey of school children aged 12–17 years, between 2003 and 2015, in 83 LMIC—HICs in the six World Health Organization (WHO) regions. We estimated the weighted prevalence of bullying victimisation at country, region and global level. We used multiple binary logistic regression models to estimate the adjusted association of age, gender, socioeconomic status, and parental support and peer support, and country level variables (GDP and government expenditure on education) with adolescent bullying victimisation. FINDINGS: Of the 317,869 adolescents studied, 151,036 (48%) were males, and 166,833 (52%) females. The pooled prevalence of bullying victimisation on one or more days in the past 30 days amongst adolescents aged 12–17 years was 30·5% (95% CI: 30·2–31·0%). The highest prevalence was observed in the Eastern Mediterranean Region (45·1%, 44·3–46·0%) and African region (43·5%, 43·0–44·3%), and the lowest in Europe (8·4%, 8·0–9·0%). Bullying victimisation was associated with male gender (OR: 1·21; 1·11–1·32), below average socio-economic status (OR: 1·47, 1·35–1·61), and younger age (OR: 1·11, 1·0–1·24). Higher levels of peer support (0·51, 0·46–0·57), higher levels of parental support (e.g., understanding children's problems (OR: 0·85, 0·77–0·95), and knowing the importance of free time spent with children (OR: 0·77, 0·70–0·85)), were significantly associated with a reduced risk of bullying victimisation. INTERPRETATIONS: Bullying victimisation is prevalent amongst adolescents globally, particularly in the Eastern Mediterranean and African regions. Parental and peer supports are protective ...

Research suggests that the dimensions of childhood maltreatment (type, age of onset, duration, frequency and perpetrator) play an important role in determining health and wellbeing outcomes, though little information is available on these dimensions for any care experienced cohorts. This study aimed to determine if any variation in maltreatment dimensions were experienced between two subsets of the nationally representative Australian Child Maltreatment Study, both of which reported childhood maltreatment histories: care-experienced ( n = 358) and non-care-experienced ( n = 4922). Using a series of independent t-tests and chi-square tests, we compared the two groups on seven dimensions (number of maltreatment types, range of maltreatment items, age of onset, duration, frequency, perpetrator number, and perpetrator type) for the five child maltreatment types (physical, emotional, sexual abuse, neglect, and exposure to domestic violence). Results showed that the care-experienced group reported a higher intensity of maltreatment, being younger when maltreatment first started, experiencing greater variety of maltreatment types, for longer periods, more times and by more perpetrators than maltreated people with no care experience. We conclude that children and young people in out-of-home care experience maltreatment at a higher intensity than the rest of the population, which has implications for effective treatment.

AbstractCorporal punishment is associated with adverse outcomes; however, little empirical data exists about the state of corporal punishment in Australia. This paper presents the first national prevalence estimates of experiences of corporal punishment during childhood among Australians and its use as adults by Australian parents and caregivers. We also report community beliefs about the necessity of corporal punishment. Results show corporal punishment remains common in Australia. A high proportion of Australians (62.5%) experienced corporal punishment in childhood, including almost 6 in 10 (58.4%) young people aged 16–24. Approximately half of all parents surveyed (53.7%) had used corporal punishment. A quarter of Australians (26.4%) believe corporal punishment is necessary to raise children, 73.6% do not view it as necessaryThe use of corporal punishment and belief in its necessity are lower among younger people. Findings indicate the experience of corporal punishment remains unacceptably high in Australia but that the use of corporal punishment and beliefs about its necessity may be changing. These findings have significant implications for policy and practice in Australia. Changes in legislation could reduce this form of violence toward children. Relatively low rates of endorsement of the necessity of corporal punishment suggest the Australian community may be receptive to attempts for law reform in this area.

This study presents the most comprehensive national prevalence estimates of diverse gender and sexuality identities in Australians, and the associations with five separate types of child maltreatment and their overlap (multi-type maltreatment). Using Australian Child Maltreatment Study (ACMS) data ( N = 8503), 9.5% of participants identified with a diverse sexuality and .9% with a diverse gender. Diverse identities were more prevalent in the youth cohort, with 17.7% of 16–24 years olds identifying with a diverse sexuality and 2.3% with a diverse gender. Gender and sexuality diversity also intersect – for example, with women (aged 16–24 and 25–44) more likely than men to identify as bisexual. The prevalence of physical abuse, sexual abuse, emotional abuse, neglect and exposure to domestic violence was very high for those with diverse sexuality and/or gender identities. Maltreatment was most prevalent for participants in the youth cohort with diverse gender identities (90.5% experiencing some form of child maltreatment; 77% multi-type maltreatment) or diverse sexualities (85.3% reporting any child maltreatment; 64.3% multi-type maltreatment). The strong association found between child maltreatment and diverse sexuality and gender identities is critical for understanding the social and mental health vulnerabilities of these groups, and informing services needed to support them.

This study aimed to explore key characteristics of the out-of-home care subgroup of a nationally representative Australian sample. To ensure that mental health services are appropriately targeted, it is critical that we understand the differential impacts of childhood experiences for this cohort. Using the Australian Child Maltreatment Study ( N = 8503), we explored patterns of childhood maltreatment and adversity of participants who reported ever being placed in out-of-home care, such as foster care or kinship care. In addition, the prevalence of current and lifetime diagnosis of four mental health disorders were explored. Results showed that the care experienced subgroup reported more types of maltreatment and adverse experiences than the control group. They were also more likely to meet diagnostic threshold for post-traumatic stress disorder, generalised anxiety disorder and major depressive disorder than the control group. These findings can be used to guide mental health practitioners to target interventions more effectively within the out-of-home care cohort.

Cytokines and vitamin D both have a role in modulating the immune system, and are also potentially useful biomarkers in mental illnesses such as major depressive disorder (MDD) and schizophrenia. Studying the variability of cytokines and vitamin D in a healthy population sample may add to understanding the association between these biomarkers and mental illness. To assess genetic and environmental contributions to variation in circulating levels of cytokines and vitamin D (25-hydroxy vitamin D: 25(OH)D3), we analyzed data from a healthy adolescent twin cohort (mean age 16.2 years; standard deviation 0.25). Plasma cytokine measures were available for 400 individuals (85 MZ, 115 DZ pairs), dried blood spot sample vitamin D measures were available for 378 individuals (70 MZ, 118 DZ pairs). Heritability estimates were moderate but significant for the cytokines transforming growth factor-β1 (TGF-β1), 0.57 (95% CI 0.26–0.80) and tumor necrosis factor-receptor type 1 (TNFR1), 0.50 (95% CI 0.11–0.63) respectively. Measures of 25(OH)D3 were within normal range and heritability was estimated to be high (0.86, 95% CI 0.61–0.94). Assays of other cytokines did not generate meaningful results. These potential biomarkers may be useful in mental illness, with further research warranted in larger sample sizes. They may be particularly important in adolescents with mental illness where diagnostic uncertainty poses a significant clinical challenge.

AbstractThe '16Up' study conducted at the QIMR Berghofer Medical Research Institute from January 2014 to December 2018 aimed to examine the physical and mental health of young Australian twins aged 16−18 years (N= 876; 371 twin pairs and 18 triplet sets). Measurements included online questionnaires covering physical and mental health as well as information and communication technology (ICT) use, actigraphy, sleep diaries and hair samples to determine cortisol concentrations. Study participants generally rated themselves as being in good physical (79%) and mental (73%) health and reported lower rates of psychological distress and exposure to alcohol, tobacco products or other substances than previously reported for this age group in the Australian population. Daily or near-daily online activity was almost universal among study participants, with no differences noted between males and females in terms of frequency or duration of internet access. Patterns of ICT use in this sample indicated that the respondents were more likely to use online information sources for researching physical health issues than for mental health or substance use issues, and that they generally reported partial levels of satisfaction with the mental health information they found online. This suggests that internet-based mental health resources can be readily accessed by adolescent Australians, and their computer literacy augurs well for future access to online health resources. In combination with other data collected as part of the ongoing Brisbane Longitudinal Twin Study, the 16Up project provides a valuable resource for the longitudinal investigation of genetic and environmental contributions to phenotypic variation in a variety of human traits.

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.

Short-term probabilistic forecasts of the trajectory of the COVID-19 pandemic in the United States have served as a visible and important communication channel between the scientific modeling community and both the general public and decision-makers. Forecasting models provide specific, quantitative, and evaluable predictions that inform short-term decisions such as healthcare staffing needs, school closures, and allocation of medical supplies. Starting in April 2020, the US COVID-19 Forecast Hub (https://covid19forecasthub.org/) collected, disseminated, and synthesized tens of millions of specific predictions from more than 90 different academic, industry, and independent research groups. A multimodel ensemble forecast that combined predictions from dozens of groups every week provided the most consistently accurate probabilistic forecasts of incident deaths due to COVID-19 at the state and national level from April 2020 through October 2021. The performance of 27 individual models that submitted complete forecasts of COVID-19 deaths consistently throughout this year showed high variability in forecast skill across time, geospatial units, and forecast horizons. Two-thirds of the models evaluated showed better accuracy than a naïve baseline model. Forecast accuracy degraded as models made predictions further into the future, with probabilistic error at a 20-wk horizon three to five times larger than when predicting at a 1-wk horizon. This project underscores the role that collaboration and active coordination between governmental public-health agencies, academic modeling teams, and industry partners can play in developing modern modeling capabilities to support local, state, and federal response to outbreaks.