Prevalence of adolescent mental disorders in Kenya, Indonesia, and Viet Nam measured by the National Adolescent Mental Health Surveys (NAMHS): a multi-national cross-sectional study.

BACKGROUND: Mental disorders are the leading global cause of health burden among adolescents. However, prevalence data for mental disorders among adolescents in low-income and middle-income countries are scarce with often limited generalisability. This study aimed to generate nationally representative prevalence estimates for mental disorders in adolescents in Kenya, Indonesia, and Viet Nam. METHODS: As part of the National Adolescent Mental Health Surveys (NAMHS), a multinational cross-sectional study, nationally representative household surveys were conducted in Kenya, Indonesia, and Viet Nam between March and December, 2021. Adolescents aged 10-17 years and their primary caregiver were interviewed from households selected randomly according to sampling frames specifically designed to elicit nationally representative results. Six mental disorders (social phobia, generalised anxiety disorder, major depressive disorder, post-traumatic stress disorder, conduct disorder, and attention-deficit hyperactivity disorder) were assessed with the Diagnostic Interview Schedule for Children, Version 5. Suicidal behaviours and self-harm in the past 12 months were also assessed. Prevalence in the past 12 months and past 4 weeks was calculated for each mental disorder and collectively for any mental disorder (ie, of the six mental disorders assessed). Prevalence of suicidal behaviours (ie, ideation, planning, and attempt) and self-harm in the past 12 months was calculated, along with adjusted odds ratios (aORs) to show the association with prevalence of any mental disorder in the past 12 months. Inverse probability weighting was applied to generate national estimates with corresponding 95% CIs. FINDINGS: Final samples consisted of 5155 households (ie, adolescent and primary caregiver pairs) from Kenya, 5664 households from Indonesia, and 5996 households from Viet Nam. In Kenya, 2416 (46·9%) adolescents were male and 2739 (53·1%) were female; in Indonesia, 2803 (49·5%) adolescents were male and 2861 (50·5%) were female; and in Viet Nam, 3151 (52·5%) were male and 2845 (47·4%) were female. Prevalence of any mental disorder in the past 12 months was 12·1% (95% CI 10·9-13·5) in Kenya, 5·5% (4·3-6·9) in Indonesia, and 3·3% (2·7-4·1) in Viet Nam. Prevalence in the past 4 weeks was 9·4% (8·3-10·6) in Kenya, 4·4% (3·4-5·6) in Indonesia, and 2·7% (2·2-3·3) in Viet Nam. The prevalence of suicidal behaviours in the past 12 months was low in all three countries, with suicide ideation ranging from 1·4% in Indonesia (1·0-2·0) and Viet Nam (1·0-1·9) to 4·6% (3·9-5·3) in Kenya, suicide planning ranging from 0·4% in Indonesia (0·3-0·8) and Viet Nam (0·2-0·6) to 2·4% (1·9-2·9) in Kenya, and suicide attempts ranging from 0·2% in Indonesia (0·1-0·4) and Viet Nam (0·1-0·3) to 1·0% (0·7-1·4) in Kenya. The prevalence of self-harm in the past 12 months was also low in all three countries, ranging from 0·9% (0·6-1·3) in Indonesia to 1·2% (0·9-1·7) in Kenya. However, the prevalence of suicidal behaviours and self-harm in the past 12 months was significantly higher among those with any mental disorder in the past 12 months than those without (eg, aORs for suicidal ideation ranged from 7·1 [3·1-15·9] in Indonesia to 14·7 [7·5-28·6] in Viet Nam). INTERPRETATION: NAMHS provides the first national adolescent mental disorders prevalence estimates for Kenya, Indonesia, and Viet Nam. These data can inform mental health and broader health policies in low-income and middle-income countries. FUNDING: The University of Queensland in America (TUQIA) through support from Pivotal Ventures, a Melinda French Gates company.

The association between child maltreatment and health risk behaviours and conditions throughout life in the Australian Child Maltreatment Study.

OBJECTIVE: To estimate associations between all five types of child maltreatment (emotional abuse, neglect, physical abuse, sexual abuse, and exposure to domestic violence) and health risk behaviours and conditions. DESIGN, SETTING, PARTICIPANTS: Nationally representative survey of Australian residents aged 16 years and older conducted by computer-assisted telephone interviewing. MAIN OUTCOME MEASURES: Associations between child maltreatment and the following health risk behaviours and conditions: current smoker, binge drinking (at least weekly in past 12 months), cannabis dependence (according to the Cannabis Severity of Dependence Scale), obesity (based on body mass index), self-harm in past 12 months, and suicide attempt in past 12 months. RESULTS: A total of 8503 participants completed the survey. All five types of child maltreatment were associated with increased rates of all of the health risk behaviours and conditions that we considered. The strongest associations were in the youngest age group (16-24-year-olds). Sexual abuse and emotional abuse were associated with the highest odds of health risk behaviours and conditions. Cannabis dependence, self-harm and suicide attempts were most strongly associated with child maltreatment. Experiencing more than one type of child maltreatment was associated with higher rates of health risk behaviours and conditions than experiencing one type of child maltreatment. CONCLUSIONS: Child maltreatment is associated with substantially increased rates of health risk behaviours and conditions. Prevention and intervention efforts should be informed by trauma histories, and holistic psychosocial care should be incorporated into programs focusing on behaviour change.

The Australian Child Maltreatment Study (ACMS), a national survey of the prevalence of child maltreatment and its correlates: methodology.

OBJECTIVES: To describe the aims, design, methodology, and respondent sample representativeness of the Australian Child Maltreatment Study (ACMS). DESIGN, SETTING: Cross-sectional, retrospective survey; computer-assisted mobile telephone interviewing using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021. PARTICIPANTS: People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more). MAIN OUTCOME MEASURES: Primary outcomes: Emotional abuse, neglect, physical abuse, sexual abuse, exposure to domestic violence during childhood, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study). SECONDARY OUTCOMES: selected mental disorder diagnoses (Mini International Neuropsychiatric Interview, MINI), selected physical health conditions, health risk behaviours, health service use. RESULTS: The demographic characteristics of the ACMS sample were similar to those of the Australian population in 2016 with respect to gender, Indigenous status, region and remoteness category of residence, and marital status, but larger proportions of participants were born in Australia, lived in areas of higher socio-economic status, had tertiary qualifications, and had income greater than $1250 per week. Population weights were derived to adjust for these differences. Associations between the number of calls required to recruit participants and maltreatment rates and health outcomes were not statistically significant. CONCLUSIONS: The ACMS provides the first reliable estimates of the prevalence of each type of child maltreatment in Australia. These estimates, and those of associated mental health and health risk behaviours reported in this supplement can inform policy and practice initiatives for reducing the prevalence of child maltreatment and its consequences. Our benchmark study also provides baseline data for repeated waves of the ACMS that will assess the effectiveness of these initiatives.

The prevalence of child maltreatment in Australia: findings from a national survey.

OBJECTIVES: To estimate the prevalence in Australia of each type of child maltreatment; to identify gender- and age group-related differences in prevalence. DESIGN, SETTING: Cross-sectional national survey; mobile telephone interviews using random digit dialling (computer-generated), Australia, 9 April - 11 October 2021. Retrospective self-report data using validated questionnaire (Juvenile Victimisation Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study). PARTICIPANTS: People aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from five further age groups (25-34, 35-44, 45-54, 55-64, 65 years or more). MAIN OUTCOME MEASURES: Proportions of respondents reporting physical abuse, sexual abuse, emotional abuse, neglect, and exposure to domestic violence to age 18 years, assessed with the Juvenile Victimization Questionnaire-R2 Adapted Version (Australian Child Maltreatment Study), overall and by gender and age group, and weighted to reflect characteristics of the Australian population aged 16 years or more in 2016. RESULTS: Complete survey data were available for 8503 eligible participants (14% response rate). Physical abuse was reported by 32.0% of respondents (95% confidence interval [CI], 30.7-33.3%), sexual abuse by 28.5% (95% CI, 27.3-29.8%), emotional abuse by 30.9% (95% CI, 29.7-32.2%), neglect by 8.9% (95% CI, 8.1-9.7%), and exposure to domestic violence by 39.6% (95% CI, 38.3-40.9%). The proportions of respondents who reported sexual abuse, emotional abuse, or neglect were each statistically significantly larger for women than men. The reported prevalence of physical abuse by respondents aged 16-24 years was lower than for those aged 25-34 years, and that of sexual abuse was lower than for those aged 35-44 years, suggesting recent declines in the prevalence of these maltreatment types. CONCLUSIONS: Child maltreatment is common in Australia, and larger proportions of women than men report having experienced sexual abuse, emotional abuse, and neglect during childhood. As physical and sexual abuse may have declined recently, public health policy and practice may have positive effects, justifying continued monitoring and prevention activities.

The prevalence and nature of multi-type child maltreatment in Australia.

OBJECTIVES: To determine the prevalence in Australia of multi-type child maltreatment, defined as two or more maltreatment types (physical abuse, sexual abuse, emotional abuse, neglect, or exposure to domestic violence) and to examine its nature, family risk factors, and gender and age cohort differences. DESIGN: Retrospective cross-sectional survey using a validated questionnaire. SETTING AND PARTICIPANTS: Mobile phone random digit-dial sample of the Australian population aged 16 years and older. MAIN OUTCOME MEASURES: National estimates of multi-type child maltreatment up to age 18 years using the Juvenile Victimisation Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study). RESULTS: Of 8503 participants, 62.2% (95% CI, 60.9-63.6%) experienced one or more types of child maltreatment. Prevalence of single-type maltreatment was 22.8% (95% CI, 21.7-24.0%), whereas 39.4% (95% CI, 38.1-40.7%) of participants reported multi-type maltreatment and 3.5% (95% CI, 3.0-4.0%) reported all five types. Multi-type maltreatment was more common for gender diverse participants (66.1% [95% CI, 53.7-78.7%]) and women (43.2% [95% CI, 41.3-45.1%]) than for men (34.9% [95% CI, 33.0-36.7%]). Multi-type maltreatment prevalence was highest for those aged 25-44 years. Family-related adverse childhood experiences - especially mental illness and alcohol or substance misuse - increased risk. Exposure to domestic violence was the maltreatment type most often present in multi-type maltreatment patterns. CONCLUSIONS: Multi-type child maltreatment is prevalent in Australia and more common in women and gender diverse individuals. Child protection services, health practitioners, and prevention and intervention services must assess and manage multi-type maltreatment in children and address its health consequences across the lifespan. Public health policy should consider prevention services or strategies that target multi-type child maltreatment.

Child maltreatment and health service use: findings of the Australian Child Maltreatment Study.

OBJECTIVES: To examine associations between child maltreatment and health service use, both overall, by type and by the number of types of maltreatment reported. DESIGN, SETTING: Cross-sectional, retrospective survey using the Juvenile Victimization Questionnaire-R2: Adapted Version (Australian Child Maltreatment Study); computer-assisted mobile telephone interviews using random digit dialling, Australia, 9 April - 11 October 2021. PARTICIPANTS: Australians aged 16 years or more. The target sample size was 8500 respondents: 3500 people aged 16-24 years and 1000 respondents each from the five age groups (25-34, 35-44, 45-54, 55-64, 65 years or more). MAIN OUTCOME MEASURES: Self-reported health service use during the past twelve months: hospital admissions, length of stay, and reasons for admission; and numbers of consultations with health care professionals, overall and by type. Associations between maltreatment and health service use are reported as odds ratios adjusted for age group, gender, socio-economic status, financial hardship (childhood and current), and geographic remoteness. RESULTS: A total of 8503 participants completed the survey. Respondents who had experienced child maltreatment were significantly more likely than those who had not to report a hospital admission during the preceding twelve months (adjusted odds ratio [aOR], 1.39; 95% confidence interval [CI], 1.16-1.66), particularly admission with a mental disorder (aOR, 2.4; 95% CI, 1.03-5.6). The likelihood of six or more visits to general practitioners (aOR, 2.37; 95% CI, 1.87-3.02) or of a consultation with a mental health nurse (aOR, 2.67; 95% CI, 1.75-4.06), psychologist (aOR, 2.40; 95% CI, 2.00-2.88), or psychiatrist (aOR, 3.02; 95% CI, 2.25-4.04) were each higher for people who reported maltreatment during childhood. People who reported three or more maltreatment types were generally most likely to report greater health service use. CONCLUSIONS: Child maltreatment has a major impact on health service use. Early, targeted interventions are vital, not only for supporting children directly, but also for their longer term wellbeing and reducing their health system use throughout life.

The association between child maltreatment and mental disorders in the Australian Child Maltreatment Study.

OBJECTIVES: To examine the associations between experiences of child maltreatment and mental disorders in the Australian population. DESIGN: Population-representative survey conducted by computer-assisted telephone interviewing. SETTING, PARTICIPANTS: Australian residents aged 16 years and older. MAIN OUTCOME MEASURES: Mental disorder diagnoses of lifetime major depressive disorder, current alcohol use disorder (mild, moderate and severe), current generalised anxiety disorder and current post-traumatic stress disorder. RESULTS: More than one in three Australians (3606/8503 surveyed participants; 38.0%; 95% CI, 36.7-39.3%) met the diagnostic criteria for a mental disorder. The prevalence of mental disorders in non-maltreated participants was 21.6% (95% CI, 19.9-23.3%; n = 851). This increased to 36.2% (95% CI, 33.5-38.9%; n = 764) for those who experienced a single type of maltreatment and 54.8% (95% CI, 52.6-56.9%; n = 1991) for participants who experienced multi-type maltreatment. Compared with non-maltreated Australians, maltreated participants had about three times the odds of any mental disorder (odds ratio [OR], 2.82; 95% CI, 2.47-3.22), generalised anxiety disorder (OR, 3.14; 95% CI, 2.48-3.97), major depressive disorder (OR, 3.19; 95% CI, 2.68-3.80) and severe alcohol use disorder (OR, 2.62; 95% CI, 1.83-3.76), and almost five times the odds of post-traumatic stress disorder (OR, 4.60; 95% CI, 3.00-7.07). Associations between experiences of child maltreatment and mental disorders were strongest for sexual abuse, emotional abuse and multi-type maltreatment. The strength of the associations did not differ by gender. Adjustment for childhood and current financial hardship and for current socio-economic status did not significantly attenuate the associations. CONCLUSIONS: Mental disorders are significantly more likely to occur in individuals who experience child maltreatment, particularly multi-type maltreatment. Prevention of child maltreatment provides an opportunity to substantially reduce the prevalence of mental illness and improve the health of the Australian population.

A comprehensive analysis of mortality-related health metrics associated with mental disorders: a nationwide, register-based cohort study.

BACKGROUND: Systematic reviews have consistently shown that individuals with mental disorders have an increased risk of premature mortality. Traditionally, this evidence has been based on relative risks or crude estimates of reduced life expectancy. The aim of this study was to compile a comprehensive analysis of mortality-related health metrics associated with mental disorders, including sex-specific and age-specific mortality rate ratios (MRRs) and life-years lost (LYLs), a measure that takes into account age of onset of the disorder. METHODS: In this population-based cohort study, we included all people younger than 95 years of age who lived in Denmark at some point between Jan 1, 1995, and Dec 31, 2015. Information on mental disorders was obtained from the Danish Psychiatric Central Research Register and the date and cause of death was obtained from the Danish Register of Causes of Death. We classified mental disorders into ten groups and causes of death into 11 groups, which were further categorised into natural causes (deaths from diseases and medical conditions) and external causes (suicide, homicide, and accidents). For each specific mental disorder, we estimated MRRs using Poisson regression models, adjusting for sex, age, and calendar time, and excess LYLs (ie, difference in LYLs between people with a mental disorder and the general population) for all-cause mortality and for each specific cause of death. FINDINGS: 7 369 926 people were included in our analysis. We found that mortality rates were higher for people with a diagnosis of a mental disorder than for the general Danish population (28·70 deaths [95% CI 28·57-28·82] vs 12·95 deaths [12·93-12·98] per 1000 person-years). Additionally, all types of disorders were associated with higher mortality rates, with MRRs ranging from 1·92 (95% CI 1·91-1·94) for mood disorders to 3·91 (3·87-3·94) for substance use disorders. All types of mental disorders were associated with shorter life expectancies, with excess LYLs ranging from 5·42 years (95% CI 5·36-5·48) for organic disorders in females to 14·84 years (14·70-14·99) for substance use disorders in males. When we examined specific causes of death, we found that males with any type of mental disorder lost fewer years due to neoplasm-related deaths compared with the general population, although their cancer mortality rates were higher. INTERPRETATION: Mental disorders are associated with premature mortality. We provide a comprehensive analysis of mortality by different types of disorders, presenting both MRRs and premature mortality based on LYLs, displayed by age, sex, and cause of death. By providing accurate estimates of premature mortality, we reveal previously underappreciated features related to competing risks and specific causes of death. FUNDING: Danish National Research Foundation.

The prevalence and burden of mental and substance use disorders in Australia: Findings from the Global Burden of Disease Study 2015.

OBJECTIVES: Timely and accurate assessments of disease burden are essential for developing effective national health policies. We used the Global Burden of Disease Study 2015 to examine burden due to mental and substance use disorders in Australia. METHODS: For each of the 20 mental and substance use disorders included in Global Burden of Disease Study 2015, systematic reviews of epidemiological data were conducted, and data modelled using a Bayesian meta-regression tool to produce prevalence estimates by age, sex, geography and year. Prevalence for each disorder was then combined with a disorder-specific disability weight to give years lived with disability, as a measure of non-fatal burden. Fatal burden was measured as years of life lost due to premature mortality which were calculated by combining the number of deaths due to a disorder with the life expectancy remaining at the time of death. Disability-adjusted life years were calculated by summing years lived with disability and years of life lost to give a measure of total burden. Uncertainty was calculated around all burden estimates. RESULTS: Mental and substance use disorders were the leading cause of non-fatal burden in Australia in 2015, explaining 24.3% of total years lived with disability, and were the second leading cause of total burden, accounting for 14.6% of total disability-adjusted life years. There was no significant change in the age-standardised disability-adjusted life year rates for mental and substance use disorders from 1990 to 2015. CONCLUSION: Global Burden of Disease Study 2015 found that mental and substance use disorders were leading contributors to disease burden in Australia. Despite several decades of national reform, the burden of mental and substance use disorders remained largely unchanged between 1990 and 2015. To reduce this burden, effective population-level preventions strategies are required in addition to effective interventions of sufficient duration and coverage.

The State of US Health, 1990-2016: Burden of Diseases, Injuries, and Risk Factors Among US States.

Introduction: Several studies have measured health outcomes in the United States, but none have provided a comprehensive assessment of patterns of health by state. Objective: To use the results of the Global Burden of Disease Study (GBD) to report trends in the burden of diseases, injuries, and risk factors at the state level from 1990 to 2016. Design and Setting: A systematic analysis of published studies and available data sources estimates the burden of disease by age, sex, geography, and year. Main Outcomes and Measures: Prevalence, incidence, mortality, life expectancy, healthy life expectancy (HALE), years of life lost (YLLs) due to premature mortality, years lived with disability (YLDs), and disability-adjusted life-years (DALYs) for 333 causes and 84 risk factors with 95% uncertainty intervals (UIs) were computed. Results: Between 1990 and 2016, overall death rates in the United States declined from 745.2 (95% UI, 740.6 to 749.8) per 100 000 persons to 578.0 (95% UI, 569.4 to 587.1) per 100 000 persons. The probability of death among adults aged 20 to 55 years declined in 31 states and Washington, DC from 1990 to 2016. In 2016, Hawaii had the highest life expectancy at birth (81.3 years) and Mississippi had the lowest (74.7 years), a 6.6-year difference. Minnesota had the highest HALE at birth (70.3 years), and West Virginia had the lowest (63.8 years), a 6.5-year difference. The leading causes of DALYs in the United States for 1990 and 2016 were ischemic heart disease and lung cancer, while the third leading cause in 1990 was low back pain, and the third leading cause in 2016 was chronic obstructive pulmonary disease. Opioid use disorders moved from the 11th leading cause of DALYs in 1990 to the 7th leading cause in 2016, representing a 74.5% (95% UI, 42.8% to 93.9%) change. In 2016, each of the following 6 risks individually accounted for more than 5% of risk-attributable DALYs: tobacco consumption, high body mass index (BMI), poor diet, alcohol and drug use, high fasting plasma glucose, and high blood pressure. Across all US states, the top risk factors in terms of attributable DALYs were due to 1 of the 3 following causes: tobacco consumption (32 states), high BMI (10 states), or alcohol and drug use (8 states). Conclusions and Relevance: There are wide differences in the burden of disease at the state level. Specific diseases and risk factors, such as drug use disorders, high BMI, poor diet, high fasting plasma glucose level, and alcohol use disorders are increasing and warrant increased attention. These data can be used to inform national health priorities for research, clinical care, and policy.

The prevalence and burden of bipolar disorder: findings from the Global Burden of Disease Study 2013.

OBJECTIVES: We present the global burden of bipolar disorder based on findings from the Global Burden of Disease Study 2013 (GBD 2013). METHODS: Data on the epidemiology of bipolar disorder were obtained from a systematic literature review and assembled using Bayesian meta-regression modelling to produce prevalence by country, age, sex and year. Years lived with disability (YLDs) were estimated by multiplying prevalence by disability weights quantifying the severity of the health loss associated with bipolar disorder. As there were no years of life lost (YLLs) attributed to bipolar disorder, YLDs equated to disability-adjusted life years (DALYs) as a measure of total burden. RESULTS: There were 32.7 million cases of bipolar disorder globally in 1990 and 48.8 million in 2013; equivalent to a 49.1% increase in prevalent cases, all accounted for by population increase and ageing. Bipolar disorder accounted for 9.9 million DALYs in 2013, explaining 0.4% of total DALYs and 1.3% of total YLDs. There were 5.5 million DALYs recorded for female individuals and 4.4 million for male individuals. DALYs were evident from age 10 years, peaked in the 20s, and decreased thereafter. DALYs were relatively constant geographically. CONCLUSIONS: Despite being relatively rare, bipolar disorder is a disabling illness due to its early onset, severity and chronicity. Population growth and aging are leading to an increase in the burden of bipolar disorder over time. It is important that resources be directed towards improving the coverage of evidence-based intervention strategies for bipolar disorder and establishing strategies to prevent new cases of the disorder.

Burden of mental and substance use disorders in Indigenous Australians and Oceania.

OBJECTIVE: Mental and substance use disorders are responsible for significant health loss across the globe. In this review, the burden of disease attributable to mental and substance use disorders in Indigenous Australians and Pacific Island countries was described and compared. METHODS: For Indigenous Australians, findings from the burden of disease and injury study by Begg and colleagues were summarised. These were then compared to the findings of the Global Burden of Disease Study 2010, which reported results for Oceania, a region consisting of Pacific Island countries. Results for mental and substance use disorder burden were described in terms of disability-adjusted life years, years lived with disability and years of life lost to due to premature mortality. RESULTS: Mental and substance use disorders were the leading cause of non-fatal burden (i.e. disability) in both Indigenous Australia and Oceania. Furthermore, in Oceania mental and substance use disorders are projected to cause more disability than all communicable diseases combined by 2050. CONCLUSION: Mental and substance use disorders contribute significantly to health loss for both Indigenous Australians and Pacific Island populations. These findings indicate a substantial need to prioritise these disorders in terms of policy, services and research.

Global burden of disease attributable to mental and substance use disorders: findings from the Global Burden of Disease Study 2010.

BACKGROUND: We used data from the Global Burden of Diseases, Injuries, and Risk Factors Study 2010 (GBD 2010) to estimate the burden of disease attributable to mental and substance use disorders in terms of disability-adjusted life years (DALYs), years of life lost to premature mortality (YLLs), and years lived with disability (YLDs). METHODS: For each of the 20 mental and substance use disorders included in GBD 2010, we systematically reviewed epidemiological data and used a Bayesian meta-regression tool, DisMod-MR, to model prevalence by age, sex, country, region, and year. We obtained disability weights from representative community surveys and an internet-based survey to calculate YLDs. We calculated premature mortality as YLLs from cause of death estimates for 1980-2010 for 20 age groups, both sexes, and 187 countries. We derived DALYs from the sum of YLDs and YLLs. We adjusted burden estimates for comorbidity and present them with 95% uncertainty intervals. FINDINGS: In 2010, mental and substance use disorders accounted for 183·9 million DALYs (95% UI 153·5 million-216·7 million), or 7·4% (6·2-8·6) of all DALYs worldwide. Such disorders accounted for 8·6 million YLLs (6·5 million-12·1 million; 0·5% [0·4-0·7] of all YLLs) and 175·3 million YLDs (144·5 million-207·8 million; 22·9% [18·6-27·2] of all YLDs). Mental and substance use disorders were the leading cause of YLDs worldwide. Depressive disorders accounted for 40·5% (31·7-49·2) of DALYs caused by mental and substance use disorders, with anxiety disorders accounting for 14·6% (11·2-18·4), illicit drug use disorders for 10·9% (8·9-13·2), alcohol use disorders for 9·6% (7·7-11·8), schizophrenia for 7·4% (5·0-9·8), bipolar disorder for 7·0% (4·4-10·3), pervasive developmental disorders for 4·2% (3·2-5·3), childhood behavioural disorders for 3·4% (2·2-4·7), and eating disorders for 1·2% (0·9-1·5). DALYs varied by age and sex, with the highest proportion of total DALYs occurring in people aged 10-29 years. The burden of mental and substance use disorders increased by 37·6% between 1990 and 2010, which for most disorders was driven by population growth and ageing. INTERPRETATION: Despite the apparently small contribution of YLLs--with deaths in people with mental disorders coded to the physical cause of death and suicide coded to the category of injuries under self-harm--our findings show the striking and growing challenge that these disorders pose for health systems in developed and developing regions. In view of the magnitude of their contribution, improvement in population health is only possible if countries make the prevention and treatment of mental and substance use disorders a public health priority. FUNDING: Queensland Department of Health, National Health and Medical Research Council of Australia, National Drug and Alcohol Research Centre-University of New South Wales, Bill & Melinda Gates Foundation, University of Toronto, Technische Universität, Ontario Ministry of Health and Long Term Care, and the US National Institute of Alcohol Abuse and Alcoholism.

The global burden of conduct disorder and attention-deficit/hyperactivity disorder in 2010.

OBJECTIVE: The Global Burden of Disease Study 2010 (GBD 2010) is the first to include conduct disorder (CD) and attention-deficit/hyperactivity disorder (ADHD) for burden quantification. METHOD: A previous systematic review pooled the available epidemiological data for CD and ADHD, and predicted prevalence by country, region, age and sex for each disorder. Prevalence was then multiplied by a disability weight to calculate years lived with disability (YLDs). As no evidence of deaths resulting directly from either CD or ADHD was found, no years of life lost (YLLs) were calculated. Therefore, the number of disability-adjusted life years (DALYs) was equal to that of YLDs. RESULTS: Globally, CD was responsible for 5.75 million YLDs/DALYs with ADHD responsible for a further 491,500. Collectively, CD and ADHD accounted for 0.80% of total global YLDs and 0.25% of total global DALYs. In terms of global DALYs, CD was the 72nd leading contributor and among the 15 leading causes in children aged 5-19 years. Between 1990 and 2010, global DALYs attributable to CD and ADHD remained stable after accounting for population growth and ageing. CONCLUSIONS: The global burden of CD and ADHD is significant, particularly in male children. Appropriate allocation of resources to address the high morbidity associated with CD and ADHD is necessary to reduce global burden. However, burden estimation was limited by data lacking for all four epidemiological parameters and by methodological challenges in quantifying disability. Future studies need to address these limitations in order to increase the accuracy of burden quantification.

Child sexual abuse by different classes and types of perpetrator: Prevalence and trends from an Australian national survey.

BACKGROUND: Little evidence exists about the prevalence of child sexual abuse (CSA) inflicted by different relational classes of perpetrators (e.g., parents; institutional adults; adolescents), and by individual types of perpetrators (e.g., fathers and male relatives; male teachers and male clergy; known and unknown adolescents). OBJECTIVE: To generate evidence of the prevalence of CSA by different perpetrators, and trends by victim gender and age group. PARTICIPANTS AND SETTING: The Australian Child Maltreatment Study collected information about CSA victimisation from a nationally-representative sample of 8503 individuals aged 16 and over. METHODS: We analysed data about 42 perpetrator types, collapsed into eight classes. We generated national prevalence estimates of CSA inflicted by each perpetrator class and individual perpetrator type, and compared results by victim gender and age group. RESULTS: Australian CSA prevalence was 28.5%, with the following prevalence by perpetrator classes: other known adolescents (non-romantic): 10.0%; parents/caregivers in the home: 7.8%; other known adults: 7.5%; unknown adults: 4.9%; adolescents (current/former romantic partners): 2.5%; institutional caregivers: 2.0%; siblings: 1.6%; unknown adolescents: 1.4%. Women experienced more CSA by all perpetrator classes except institutional caregivers. Age group comparison showed significant declines in CSA by parents/caregivers, and other known adults; and increases in CSA by adolescents (current/former romantic partners). Individual perpetrator type comparison showed declines in CSA by fathers, male relatives living in the home, non-resident male relatives, and other known male adults; and increases in CSA by known male adolescents, current boyfriends, and former boyfriends. CONCLUSIONS: CSA by adults has declined, indicating positive impacts of prevention efforts. However, CSA by adolescents has increased. Further declines in CSA by adults are required and possible. Targeted prevention of CSA by adolescents must be prioritised.

The Prevalence and Patterns of Maltreatment, Childhood Adversity, and Mental Health Disorders in an Australian Out-Of-Home Care Sample.

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.

The Prevalence of Peer Sexual Harassment During Childhood in Australia.

Sexual harassment inflicted by adolescents on their peers is a major public health issue, but its prevalence across childhood is not known. We provide the first nationally representative data on the prevalence of peer sexual harassment across childhood, using cross-sectional data from the Australian Child Maltreatment Study (ACMS). The ACMS surveyed 8,503 people aged 16 and over about their experiences of child maltreatment and associated health outcomes. The prevalence of peer sexual harassment was assessed using the Juvenile Victimization Questionnaire (JVQ)-R2 Adapted Version (ACMS), with survey data weighted to reflect characteristics of the Australian population. Overall, 1 in 10 (10.4% (95% Confidence Intervals (CI) [9.7, 11.3])) Australians experienced peer sexual harassment during childhood. Peer sexual harassment is an issue disproportionately affecting gender-diverse individuals (24.0%, 95% CI [15.5, 35.2]) and women (15.3%, 95% CI [14.0, 16.7%]), compared to men (5.0%, 95% CI [4.3, 5.9]). Rates of peer sexual harassment were also very high among sexuality diverse participants (prevalence estimates ranging between 14.2% and 29.8%). Peer sexual harassment was predominately inflicted by male peers (9.6%, 95% CI [8.9, 10.4]), compared to 1.8% (95% CI [1.5, 2.2]) reporting harassment from female peers. These findings have implications for understanding and reducing attitudes supporting peer sexual harassment in childhood, particularly against girls and gender and sexuality diverse youth, and associations with other gendered violence both in childhood and later life.

Prevalence of Diverse Genders and Sexualities in Australia and Associations With Five Forms of Child Maltreatment and Multi-type Maltreatment.

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.

Epidemiological modelling of attention-deficit/hyperactivity disorder and conduct disorder for the Global Burden of Disease Study 2010.

BACKGROUND: The most recent Global Burden of Disease Study (GBD 2010) is the first to include attention-deficit/hyperactivity disorder (ADHD) and conduct disorder (CD) for burden quantification. We present the epidemiological profiles of ADHD and CD across three time periods for 21 world regions. METHODS: A systematic review of global epidemiology was conducted for each disorder (based on a literature search of the Medline, PsycInfo and EMBASE databases). A Bayesian metaregression tool was used to derive prevalence estimates by age and sex in three time periods (1990, 2005 and 2010) for 21 world regions including those with little or no data. Prior expert knowledge and covariates were applied to each model to adjust suboptimal data. Final prevalence output for ADHD were adjusted to reflect an equivalent value if studies had measured point prevalence using multiple informants while final prevalence output for CD were adjusted to reflect a value equivalent to CD only. RESULTS: Prevalence was pooled for males and females aged 5-19 years with no difference found in global prevalence between the three time periods. Male prevalence of ADHD in 2010 was 2.2% (2.0-2.3) while female prevalence was 0.7% (0.6-0.7). Male prevalence of CD in 2010 was 3.6% (3.3-4.0) while female prevalence was 1.5% (1.4-1.7). ADHD and CD were estimated to be present worldwide with ADHD prevalence showing some regional variation while CD prevalence remained relatively consistent worldwide. CONCLUSIONS: We present the first prevalence estimates of both ADHD and CD globally and for all world regions. Data were sparse with large parts of the world having no estimates of either disorder. Epidemiological studies are urgently needed in certain parts of the world. Our findings directly informed burden quantification for GBD 2010. As mental disorders gained increased recognition after the first GBD study in 1990, the inclusion of ADHD and CD in GBD 2010 ensures their importance will be recognized alongside other childhood disorders.