Prevalence Estimates Of Disorders Research Articles

Prevalence of Cannabis Use Disorder: A Meta-Analysis of Population Surveys.

Epidemiologic surveys aim to estimate the population prevalence of cannabis use and cannabis use disorder. Prevalences estimates are important for understanding trends, such as the impact of policy change. Existing epidemiologic surveys have produced discrepant and potentially unreliable estimates. The current meta-analysis (PROSPERO CRD42022364818) aims to identify potential sources of unreliability in prevalence estimates of cannabis use and use disorder among the general population (aged 12+). There was no specific hypothesis about overall prevalence estimate, but we expected significant variability (i.e., heterogeneity) in estimates based on factors such as country, year of data collection, and specific methodological factors (e.g., diagnostic instrument). Systematic searches identified manuscripts and reports documenting nationally representative lifetime or past-year cannabis use disorder prevalence estimates. Meta-analysis was used to synthesize prevalence estimates, evaluate heterogeneity, and test moderators. There were 39 manuscripts/reports included in analyses which resulted in 259 unique prevalence estimates spanning 1980-2013 and an aggregated sample size of 973,281 individuals. Past-year and lifetime prevalence estimates for cannabis use were 12.83% (95% CI: 11.15%, 14.71%) and 38.31% (95% CI: 35.92%, 40.76%) and those for cannabis use disorder were 2.59% (95% CI:2.30%, 2.90%) and 6.77% (95% CI: 4.89%, 9.30%), respectively. There was significant heterogeneity in estimates, which was partially explained by factors such as country, year of data collection, and methodological characteristics. The significant heterogeneity in prevalence estimates as a function of methodological characteristics raises concerns about the generalizability of estimates. Recommendations for enhancing validity and reliability of these estimates are offered.

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

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. 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. 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). 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. The University of Queensland in America (TUQIA) through support from Pivotal Ventures, a Melinda French Gates company.

Cannabis use and social anxiety disorder in emerging adulthood: Results from a nationally representative sample

Cannabis use and social anxiety disorder (SAD) are prevalent during emerging adulthood. Previous work has demonstrated that SAD is related to cannabis use in adults; however, less is known about what correlates relate to this association in emerging adults. A subsample of individuals ages 18–25 years old from the NESARC-III (N = 5194) was used to (a) evaluate the association between cannabis use and SAD and (b) examine what correlates may be associated with cannabis use and SAD in emerging adulthood. Weighted cross-tabulations assessed sociodemographics and lifetime psychiatric disorder prevalence estimates among the emerging adult sample. Multinomial logistic regressions examined associations between sociodemographics and psychiatric disorders and four groups (i.e., no cannabis use or SAD; cannabis use only; SAD only; cannabis use + SAD). The prevalence of co-occurring cannabis use and SAD was 1.10%. Being White, a part-time student, or not a student were associated with increased odds of having co-occurring cannabis use + SAD (OR range: 2.26–3.09). Significant associations also emerged between major depressive disorder, bipolar I disorder, generalized anxiety disorder, specific phobia, agoraphobia, and panic disorder and co-occurring cannabis use + SAD (AOR range: 3.03–19.05). Results of this study may have implications for better identifying and screening emerging adults who are at risk of co-occurring cannabis use and SAD.

The burden of vestibular disorders among military health system (MHS) beneficiaries, fiscal years 2018-2019.

Vestibular disorders affect an estimated 33 million adults and 3.5 million children and adolescents in the United States. Previous research relying on self-reported symptoms versus actual diagnosis has limited the ability to provide prevalence estimates for specific vestibular disorders at the population level. This study seeks to describe the burden of vestibular disorders among children and working-age adult beneficiaries in the Military Health System (MHS). Using the MHS Data Repository (MDR), we conducted a cross-sectional study of all TRICARE Prime and Plus MHS beneficiaries aged 0 to 64 years from fiscal years (FY) 2018 to 2019. Study analyses included descriptive statistics of patient demographics and assessing the prevalence of vestibular disorders in pediatric and working-age adult beneficiaries. Of the 5,541,932 TRICARE Prime/Prime Plus MHS beneficiaries, 52,878 (0.95%) had a diagnosis of vestibular disorder during fiscal years 2018 to 2019, of which 1,359 were pediatric and adolescents (aged 0 to 17 years) and 51,519 were working-age adults (18 to 64 years). Vertigo was the most common diagnosis in both age-group populations (11.46 per 1,000 working-age adults; 0.52 per 1,000 children and adolescents), with benign vertigo being the most prevalent of the three diagnoses and occurring at a seven times higher rate in adults versus pediatric and adolescents. This study demonstrates the effectiveness of using medical claims data to estimate prevalence compared to self-reported survey data and supports prevalence estimates of vestibular disease in <1% of children overall, but indicate much higher prevalence for adolescents.

Door-To-Door Video-Enhanced Prevalence Study of Tourette Disorder Among African Americans

ABSTRACT Tourette syndrome (TS) affects about 0.5% of the population worldwide, but only sparse and conflicting data exist on TS prevalence among minority samples. Here we used VISITTS (a survey preceded by a short video showing tic phenomenology) and community outreach to provide estimates of tic disorder prevalence in African Americans. Community health workers (CHWs) left flyers at households in a predominantly minority neighborhood and approached people at a community health fair. Of 606 such contacts, 222 individuals agreed to discuss the study. Of these, 70% enrolled, of whom 82% identified as Black and 64% female. The VISITTS was well received. Lifetime prevalence of TS or another chronic tic disorder (TS/CTD) was 3.2%, and 31% endorsed any lifetime simple tic. The number of enrolled Black participants is remarkable compared to earlier TS studies, allowing one of the first prevalence estimates in this population (TS 2.3%, TS/CTD 3.9%). Tic disorders were endorsed only by Black respondents, though the small White sample precluded statistical comparison. Women had higher rates than men of TS (M:F = 0:1) and of any lifetime simple tic (M:F = 0.85), differing significantly from the expected 4:1 ratio (p = .009 and p < .001, respectively). For TS/CTD the ratio was 1.2:1 (p > .15). We conclude that VISITTS is a feasible tic screening tool in a minority population, that CHW community outreach increases enrollment of Black participants, that TS/CTD is no less common in this population, and that tics were as common in female as in male respondents.

Becoming aWARE: The Development of a Web-Based Tool for Autism Research and the Environment.

A sharp rise in autism spectrum disorder (ASD) prevalence estimates, beginning in the 1990s, suggested factors additional to genetics were at play. This stimulated increased research investment in nongenetic factors, including the study of environmental chemical exposures, diet, nutrition, lifestyle, social factors, and maternal medical conditions. Consequently, both peer- and non-peer-reviewed bodies of evidence investigating environmental contributors to ASD etiology have grown significantly. The heterogeneity in the design and conduct of this research results in an inconclusive and unwieldy 'virtual stack' of publications. We propose to develop a Web-based tool for Autism Research and the Environment (aWARE) to comprehensively aggregate and assess these highly variable and often conflicting data. The interactive aWARE tool will use an approach for the development of systematic evidence maps (SEMs) to identify and display all available relevant published evidence, enabling users to explore multiple research questions within the scope of the SEM. Throughout tool development, listening sessions and workshops will be used to seek perspectives from the broader autism community. New evidence will be indexed in the tool annually, which will serve as a living resource to investigate the association between environmental factors and ASD.

Attitudes towards sex workers: a nationwide cross-sectional survey among German healthcare providers.

Worldwide, sex workers face stigmatization and discrimination, also within healthcare. Only few studies on healthcare providers' attitudes towards care of sex workers have been performed. This study assessed attitudes and knowledge of healthcare providers in Germany towards sex workers and their specific health risks. German healthcare professionals and medical students were invited to participate in a nationwide cross-sectional study in 2022. The online survey used a German translation of the "Attitudes towards Prostitutes and Prostitution Scale" by Levin and Peled for assessment of attitudes towards sex work and workers, together with prevalence estimates of common mental and physical disorders. A total of 469 questionnaires were included into analysis. Older participants tended to regard sex work as less of a choice (p < 0.004) and sex workers as more victimized (p < 0.001). The frequency of professional contact to sex workers neither affected the perception of sex workers' status as victims vs. independent individuals, nor the perceived moral status. Moreover, healthcare professionals overestimated the prevalence of various disorders which was influenced by participants' attitudes towards sex workers. A comparison to a recent Allensbach survey demonstrated similar attitudes of healthcare providers and the general population towards sex workers. Our results suggest that German healthcare professionals are not free of prejudices against sex workers, as has been shown for other marginalized groups in society. Instead, they seem to be influenced by personal opinion rather than by objective facts which they should have acquired during their professional education. Future interventions (e.g., better training regarding marginal societal groups) are necessary to encounter these issues in order to improve healthcare for sex workers.

Incidence and prevalence of eating disorders among active duty US military-dependent youth from 2016 to 2021.

The offspring of US military service members may be at increased risk for eating disorders. However, no epidemiological studies to date have evaluated eating disorder incidence rates and prevalence estimates among military-dependent youth. This retrospective cohort study examined eating disorder diagnoses in the military healthcare system (MHS) from 2016 through 2021. Active duty and national guard military-dependent youth, aged 10-17 years, who received care in the MHS via TRICARE Prime insurance, were identified by one or more ICD-10 codes indicative of an eating disorder diagnosis (anorexia nervosa, bulimia nervosa, binge-eating disorder, and other-specified eating disorders). During the 6-year surveillance period, 2534 dependents received incident diagnoses of eating disorders, with a crude overall incidence rate of 1.75 cases per 10,000 person-years. The most common diagnosis was other-specified eating disorder, followed by anorexia nervosa, bulimia nervosa, and binge-eating disorder. The crude annual incidence rate of all eating disorder diagnoses increased by nearly 65% from 2016 to 2021. Rates for all diagnoses were highest in 2020 and 2021. Period prevalence estimateswere .08% for any eating disorder diagnosis, .01% for anorexia nervosa, .004% for bulimia nervosa, .004% for binge-eating disorder, and .06% for other-specified eating disorders. The observed increase in eating disorder diagnoses during the surveillance period appeared to be driven by female dependents. More military dependents experienced a new-onset diagnosis during the COVID-19 pandemic compared to previous years. These findings highlight the need for eating disorder screening, identification, and treatment for dependents within the MHS. Children of US military service members may be at increased risk for eating disorders. Results indicate new-onset eating disorder cases increased 65% from 2016 to 2021, primarily among girls compared to boys. The most diagnosed and fastest growing diagnosis was other-specified eating disorder. Rates of anorexia nervosa increased following the COVID-19 pandemic. Findings highlight the need for eating disorder screening, identification, and treatment within the military healthcare system.

Burden of mood symptoms and disorders in implantable cardioverter defibrillator patients: a systematic review and meta-analysis of 39 954 patients.

Implantable cardioverter defibrillators (ICDs) prevent sudden cardiac death. Anxiety, depression, and post-traumatic stress disorder (PTSD) are underappreciated symptoms. We aimed to systematically synthesize prevalence estimates of mood disorders and symptom severities, pre- and post-ICD insertions. Comparisons were made with control groups, as well as within ICD patients by indication (primary vs. secondary), sex, shock status, and over time. Databases (Medline, PsycINFO, PubMed, and Embase) were searched without limits from inception to 31 August 2022; 4661 articles were identified, 109 (39 954 patients) of which met criteria. Random-effects meta-analyses revealed clinically relevant anxiety in 22.58% (95%CI 18.26-26.91%) of ICD patients across all timepoints following insertion and depression in 15.42% (95%CI 11.90-18.94%). Post-traumatic stress disorder was seen in 12.43% (95%CI 6.90-17.96%). Rates did not vary relative to indication group. Clinically relevant anxiety and depression were more likely in ICD patients who experienced shocks [anxiety odds ratio (OR) = 3.92 (95%CI 1.67-9.19); depression OR = 1.87 (95%CI 1.34-2.59)]. Higher symptoms of anxiety were seen in females than males post-insertion [Hedges' g = 0.39 (95%CI 0.15-0.62)]. Depression symptoms decreased in the first 5 months post-insertion [Hedges' g = 0.13 (95%CI 0.03-0.23)] and anxiety symptoms after 6 months [Hedges' g = 0.07 (95%CI 0-0.14)]. Depression and anxiety are highly prevalent in ICD patients, especially in those who experience shocks. Of particular concern is the prevalence of PTSD following ICD implantation. Psychological assessment, monitoring, and therapy should be offered to ICD patients and their partners as part of routine care.

The impact of study factors in the association of periodontal disease and cognitive disorders: systematic review and meta-analysis.

The aim was to assess study factors that impact the association of cognitive disorders in people with periodontal disease (PD). Medline, EMBASE and Cochrane databases were searched until February 2022 using keywords and MeSH: (periodon* OR tooth loss OR missing teeth) AND (dementia OR Alzheimer's Disease OR cognitive*). Observational studies reporting prevalence or risk of cognitive decline, dementia or Alzheimer's disease (AD) in people with PD compared with healthy controls were included. Meta-analysis quantified the prevalence and risk (relative risk[RR]) of cognitive decline, dementia/AD, respectively. Meta-regression/subgroup analysis explored the impact of study factors including PD severity and classification type, and gender. Overall, 39 studies were eligible for meta-analysis: 13 cross-sectional and 26 longitudinal studies. PD demonstrated increased risks of cognitive disorders (cognitive decline-RR = 1.33, 95% CI = 1.13-1.55; dementia/AD-RR = 1.22, 95% CI = 1.14-1.31). Risk of cognitive decline increased with PD severity (moderate-[RR] = 1.14, 95% confidence interval [CI] = 1.07-1.22; severe-RR = 1.25, 95% CI = 1.18-1.32). For every 10% population increase in females, the risk of cognitive decline increased by 34% (RR = 1.34, 95% CI = 1.16-1.55). Self-reported PD showed a lower risk of cognitive disorders compared with clinical classification (cognitive decline-RR = 0.77, 95% CI = 0.65-0.91; dementia/AD-RR = 0.86, 95% CI = 0.77-0.96). The prevalence and risk estimates of cognitive disorders in association with PD can be influenced by gender, the disease classification of PD and its severity. Further homologous evidence taking these study factors into consideration is needed to form robust conclusions.

Statewide county-level autism spectrum disorder prevalence estimates—seven U.S. states, 2018

Autism spectrum disorder (ASD) prevalence information is necessary for identifying community needs such as addressing disparities in identification and services. Seven Autism and Developmental Disabilities Monitoring (ADDM) Network sites participated in a pilot project to link statewide health and education data to generate statewide and county-level prevalence estimates for a broader age range for their states for the first time. Statewide prevalence of ASD for ages 3-21 years in 2018 ranged from 1.5% in Tennessee and Wisconsin to 2.3% in Arizona. The median county-level prevalence of ASD was 1.4% of residents ages 3-21 years. More boys than girls had ASD at all sites, and prevalence was lower among non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian/Alaska Native residents compared to non-Hispanic White residents at most sites. ASD prevalence estimates for children aged 8 years were similar to 2018 ADDM Network estimates that used record review to provide more in-depth information, but showed greater variation for children aged 4 years. Linkage of statewide data sets provides less detailed but actionable local information when more resource-intensive methods are not possible.

Prevalence of post-traumatic stress disorder and common mental disorders in health-care workers in England during the COVID-19 pandemic: a two-phase cross-sectional study

Previous studies on the impact of the COVID-19 pandemic on the mental health of health-care workers have relied on self-reported screening measures to estimate the point prevalence of common mental disorders. Screening measures, which are designed to be sensitive, have low positive predictive value and often overestimate prevalence. We aimed to estimate prevalence of common mental disorders and post-traumatic stress disorder (PTSD) among health-care workers in England using diagnostic interviews. We did a two-phase, cross-sectional study comprising diagnostic interviews within a larger multisite longitudinal cohort of health-care workers (National Health Service [NHS] CHECK; n=23 462) during the COVID-19 pandemic. In the first phase, health-care workers across 18 NHS England Trusts were recruited. Baseline assessments were done using online surveys between April 24, 2020, and Jan 15, 2021. In the second phase, we selected a proportion of participants who had responded to the surveys and conducted diagnostic interviews to establish the prevalence of mental disorders. The recruitment period for the diagnostic interviews was between March 1, 2021 and Aug 27, 2021. Participants were screened with the 12-item General Health Questionnaire (GHQ-12) and assessed with the Clinical Interview Schedule-Revised (CIS-R) for common mental disorders or were screened with the 6-item Post-Traumatic Stress Disorder Checklist (PCL-6) and assessed with the Clinician Administered PTSD Scale for DSM-5 (CAPS-5) for PTSD. The screening sample contained 23 462 participants: 2079 participants were excluded due to missing values on the GHQ-12 and 11 147 participants due to missing values on the PCL-6. 243 individuals participated in diagnostic interviews for common mental disorders (CIS-R; mean age 42 years [range 21-70]; 185 [76%] women and 58 [24%] men) and 94 individuals participated in diagnostic interviews for PTSD (CAPS-5; mean age 44 years [23-62]; 79 [84%] women and 15 [16%] men). 202 (83%) of 243 individuals in the common mental disorders sample and 83 (88%) of 94 individuals in the PTSD sample were White. GHQ-12 screening caseness for common mental disorders was 52·8% (95% CI 51·7-53·8). Using CIS-R diagnostic interviews, the estimated population prevalence of generalised anxiety disorder was 14·3% (10·4-19·2), population prevalence of depression was 13·7% (10·1-18·3), and combined population prevalence of generalised anxiety disorder and depression was 21·5% (16·9-26·8). PCL-6 screening caseness for PTSD was 25·4% (24·3-26·5). Using CAPS-5 diagnostic interviews, the estimated population prevalence of PTSD was 7·9% (4·0-15·1). The prevalence estimates of common mental disorders and PTSD in health-care workers were considerably lower when assessed using diagnostic interviews compared with screening tools. 21·5% of health-care workers met the threshold for diagnosable mental disorders, and thus might benefit from clinical intervention. UK Medical Research Council; UCL/Wellcome; Rosetrees Trust; NHS England and Improvement; Economic and Social Research Council; National Institute for Health and Care Research (NIHR) Biomedical Research Centre at the Maudsley and King's College London (KCL); NIHR Protection Research Unit in Emergency Preparedness and Response at KCL.

Prevalence of sleep disorders among first responders for medical emergencies: A meta-analysis.

BackgroundShift work and irregular work schedules among first responders have been associated with physical and psychological problems such as sleep disorders. We conducted the first meta-analysis to explore and estimate the prevalence of sleep disorders among first responders for medical emergencies.MethodsWe searched four databases: Web of Science, Psych Info, CINAHL, and PubMed. The Generalized Linear Mixed model (GLMM) was used to estimate the prevalence estimates of sleep disorders in R software and the DerSimonian-Lard random-effects model in Comprehensive Meta-Analysis was used to explore associated comorbidities for OSA and insomnia, presented as odds ratios (ORs) and confidence intervals (CIs). The Cochran's Q, τ2, and the statistics were used to assess heterogeneity and the moderator analysis was conducted to identify moderator variables.ResultsTwenty-eight studies with 100 080 first responders were included from the total of 1119 studies retrieved from the databases. The prevalence rates for sleep disorders were 31% (95% CI = 15%-53%) for shift work disorder (SWD), 30% (95% CI = 18%-46%) for obstructive sleep apnea (OSA), 28% (95% CI = 19%-39%) for insomnia, 28% (95% CI = 24%-33%) for excessive daytime sleepiness (EDS), 2% (95% CI = 1%-4%) for restless leg syndrome, and 1% (95% CI = 0%-5%) for narcolepsy. Anxiety (OR = 2.46; 95% CI = 1.99%-3.03%), cardiovascular disease (CVD) (OR = 2.03; 95% CI = 1.43-2.88), diabetes mellitus (DM) (OR = 1.93; 95% CI = 1.41-2.65), depression (OR = 1.89; 95% CI = 1.01-3.56), gastroesophageal reflux disease (GERD) (OR = 1.83; 95% CI = 150-2.22), and post-traumatic stress disorder (PTSD) (OR = 1.78; 95% CI = 1.33-2.39) were associated with OSA. Depression (OR = 9.74; 95% CI = 4.67-20.3), anxiety (OR = 9.22; 95% CI = 3.81-22.3), and PTSD (OR = 7.13; 95% CI = 6.27-8.10) were associated with insomnia. Age, gender, first responders, continent, study quality, study design, and assessment tool were significant moderator variables for OSA, insomnia, and EDS.ConclusionsThis meta-analysis found a substantially high prevalence of sleep disorders including SWD, OSA, insomnia, and EDS among first responders for medical emergencies. Early assessment and management of sleep disorders among first responders is necessary to promote good, quality sleep to help prevent anxiety, depression, CVD, DM, GERD, and PTSD.

Using novel methodology to estimate the prevalence of mental disorders in British Columbia, Canada.

A needs-based model of health systems planning uses a systematic estimate of service needs for a given population. Our objective was to derive annual prevalence estimates of specific mental disorders in the adult population of British Columbia, Canada and use a novel triangulation approach encompassing multiple data sources and stratifying these estimates by age, sex, and severity to inform Ministry partners, who commissioned this work. We performed systematic literature reviews and subsequent meta-analyses to derive an annual prevalence estimate for each mental disorder. We then generated age- and sex-specific estimates by triangulating published epidemiological studies, routinely collected province-wide health administrative data, and nationally representative health survey data sources. The age- and sex-specific estimates were further stratified by severity using the Global Burden of Disease severity distributions and published literature. Anxiety disorders had the highest annual prevalence estimates (6.93%), followed by depressive disorders (6.42%). All other mental disorders had an annual prevalence of less than 1%. Prevalence estimates were consistently higher in younger age groups. Depressive disorders, anxiety disorders, and eating disorders were higher in women, while estimates for bipolar disorders, schizophrenia, and ADHD were slightly higher in men in younger age groups. We generated robust annual prevalence estimates stratified by age, sex, and severity using a triangulation approach. Variation by age, sex, and severity implies that these factors need to be considered when planning for mental health services. Our approach is replicable and can be used as a model for needs-based planning in other jurisdictions.

Stability of mental disorder prevalence estimates among school-aged children and adolescents: findings from the community-based project to learn about youth-mental health (PLAY-MH) and replication-PLAY-MH (Re-PLAY-MH), 2014–2017

PurposeThis study evaluated the stability over time of prevalence estimates of mental disorders among school-aged children from the same community. MethodsWe compared screening status and weighted prevalence of selected mental disorders from the two-stage school-based South Carolina Project to Learn About Youth-Mental Health (Time 1) and its replication study (Time 2) conducted between 2014 and 2017. During stage 1, two teacher screeners were used to group students into high or low risk for a mental disorder. During stage 2, parents of selected students completed a structured diagnostic interview to assess whether their child met criteria for specific disorders. ResultsFor stage 1, 19.9% of students screened as high risk for a mental disorder at Time 2 compared to 17.8% at Time 1. Among students included at both timepoints, 9.1% screened as high risk at both timepoints while screening status changed for 20.7%. The overall prevalence of included mental disorders was approximately 18% at both time points There were no differences (P-values >.05) in prevalence of individual mental disorders between Time 1 (range:0.3%–6.7%) and Time 2 (range:1.2%–7.7%). ConclusionsStudy findings demonstrate that similar methodology yielded similar prevalence estimates of mental disorders and can inform community-level planning for improving mental health in children.

Gender differences in disorders comorbid with posttraumatic stress disorder among U.S. Sailors and Marines.

Psychological comorbidity, the co‐occurrence of mental health disorders, is more often the rule than the exception among individuals with posttraumatic stress disorder (PTSD). Research shows that prevalence estimates for specific psychological disorders differ by gender; however, little is known about whether these patterns persist in the presence of a comorbid PTSD diagnosis. This study examined gender differences in prevalence estimates for conditions comorbid with PTSD using medical records for 523,626 active duty U.S. Sailors and Marines who entered the military over an 8‐year period. Using chi‐square tests of independence, we detected statistically significant gender differences for specific comorbid conditions in the subsample of 9,447 service members with a PTSD diagnosis. Women were more likely than men to have PTSD with comorbid adjustment, OR = 1.35; depressive, OR = 1.71; and generalized anxiety or other anxiety disorders, OR = 1.16, with the largest effects for eating, OR = 12.60, and personality disorders, OR = 2.97. In contrast, women were less likely than men to have a diagnosis of PTSD with comorbid alcohol use, OR = 0.69, and drug use disorders, OR = 0.72, with the largest effects for insomnia, OR = 0.42, and traumatic brain injury, OR = 0.17. No significant gender differences emerged for comorbid bipolar, obsessive–compulsive, panic/phobic, psychotic, or somatoform/dissociative disorders, ps = .029–.314. The results show gender differences in conditions comorbid with PTSD generally align with internalizing and externalizing dimensions. Differences in comorbidities with PTSD between women and men could have implications for treatment development and delivery.

Prevalence of common sleep disorders in a middle-aged community sample.

There is a paucity of contemporary prevalence estimates for common sleep disorders of insomnia, obstructive sleep apnea (OSA), and restless legs syndrome. We aimed to assess the prevalence of clinically significant common sleep disorders in a middle-aged community sample. Parents of participants in the community-based Raine Study underwent assessments between 2015 and 2017, including comprehensive questionnaires, anthropometric measures, and in-laboratory polysomnography. Clinically significant sleep disorders were defined as chronic insomnia using the Pittsburgh Sleep Symptom Questionnaire-Insomnia with duration criterion ≥ 3 months; OSA as apnea-hypopnea index ≥ 5 events/h with excessive sleepiness (Epworth Sleepiness Scale ≥ 11) or apnea-hypopnea index ≥ 15 events/h (even in the absence of symptoms); restless legs syndrome when participants endorsed the International Restless Legs Syndrome Study Group diagnostic criteria (2003) with symptoms ≥ 5 times/month involving moderate-severe distress. At least 1 sleep-related assessment was completed by 1,005 (female = 586, 58.3%) middle-aged (45-65 years) participants, 72.5% of eligible Raine Study parents. The respective prevalences for clinically significant disease in females and males were as follows: OSA, 24.0% (95% confidence interval [CI]: 20.5-27.7) and 47.3% (95% CI: 42.2-53.4); insomnia, 15.8% (95% CI: 13.1-19.0) and 9.3% (95% CI: 6.8-12.4); restless legs syndrome, 3.7% (95% CI: 2.4-5.4) and 2.2% (95% CI: 1.1-3.9). At least 1 sleep disorder was present in 42.9% of those with complete data on all assessments (n = 895). Common sleep disorders are highly prevalent, to a clinically important extent, in an Australian community sample of middle-aged adults. Contemporary OSA prevalence is notably higher than previously reported and further work is needed to determine the communal impact of OSA. McArdle N, Reynolds AC, Hillman D, etal. Prevalence of common sleep disorders in a middle-aged community sample. J Clin Sleep Med. 2022;18(6):1503-1514.

Estimating prevalence of child and youth mental disorder and mental health-related service contacts: a comparison of survey data and linked administrative health data.

Prevalence estimates of child and youth mental disorder and mental health-related service contacts are needed for policy formulation, research, advocacy and resource allocation. Our aim is to compare prevalence estimates of child and youth mental disorder and mental health-related service contacts derived from general population survey data v. linked administrative health data. Provincially representative 2014 Ontario Child Health Study data were linked to administrative health records for 5563 children and youth aged 4-17 in Ontario. Emotional disorders (mood and anxiety) and attention-deficit/hyperactivity disorder were assessed using a standardised diagnostic interview in the survey and using diagnostic codes in administrative health data. Physician-based mental health-related service contacts were assessed using parent self-reports from the survey and administrative data related to mental health-related diagnostic codes. Prevalence estimates were calculated and compared based on one-sample z-tests and ratios of survey data to administrative data-based prevalence. Sensitivity, specificity and agreement between classifications were compared using κ. Prevalence estimates were calculated by age, sex and geography sub-groups and consistent group differences across data source were counted. Disorder prevalence and service contact estimates were significantly higher in survey data in all cases, except for mood disorder. Ratios of survey data to administrative data-based prevalence varied, ranging from 0.80 (mood) to 11.01 (attention-deficit/hyperactivity disorder). Specificity was high (0.98-1.00), sensitivity was low (0.07-0.41) and agreement ranged from slight (κ = 0.13) to moderate (κ = 0.46). Out of 18 sub-group difference comparisons, half were non-significant in either data source. In the remaining nine comparisons, the only significant differences between groups that were consistent across data source were for sex-based differences (attention-deficit/hyperactivity disorder and service contacts). There were no consistent age- or geography-based differences in prevalence across data sources. Our findings suggest that conclusions drawn about prevalence, service contacts and sub-group differences in these estimates are dependent on data source. Further research is needed to understand who and what is being captured by each source. Researchers should conduct data linkage where possible to access and compare multiple sources of information.

Epidemiology of personality disorders in individuals with gender dysphoria.

Prevalence estimates of personality disorders (PD) in individuals with gender dysphoria (GD) are variable and heterogeneous, as psychiatric comorbidity and long-term follow-up data from gender-diverse samples are still limited. This review aims to assess prevalence rates across age groups and discuss potential reasons for variability in PD prevalence estimates among transgender people. International epidemiological data from several countries indicate that the best available estimates of the prevalence of any PD diagnosis in transgender youth are around 20% for adolescents and tend to increase to nearly 50% in trans-adults. The paucity of available data on personality dysfunction in children and adolescents with GD precluded us from definitive conclusions on the trends of emerging PDs in this population. Estimates of PD prevalence in transgender and gender-diverse people seem to be highly affected by methodological characteristics of the studies with no universally agreed reference standards for this population. The review of epidemiological studies on PD among gender-diverse people highlights the need for using more standardized study methodologies to make findings comparable. Nevertheless, international epidemiological data seem to support the link association between the development of PD and GD.

Assessing Arousal Through Multimodal Biosignals: A Preliminary Approach.

The increase in Autism Spectrum Disorder (ASD) prevalence estimates over the last decades has driven a quest to develop new forms of rehabilitation that can be accessible to a larger part of this population. These rehabilitation approaches often take the form of computer games that are blind to the user's emotional state, which compromises their efficacy. In this study, a set of physiological signals were acquired in simultaneous with functional Magnetic Resonance Imaging (fMRI) with the future prospect of combining both kinds of data to create models capable of assessing the true emotional state of their users based on physiological response as a measure of autonomic nervous system, having as ground truth the activity of targeted brain regions. This paper describes an initial approach, focusing on the information contained on the physiological signals alone. A total of 35 features were extracted from biosignals' segments and subsequently used for automatic classification of arousal state (High Arousal vs. Low Arousal). The suboptimal results, although some extracted features present statistically significant differences, underline the challenging nature of our proposal and the added obstacles of recording physiological signals in the magnetic resonance environment. Further exploration of the measured signals is needed to gather a bigger number of discriminative features that can improve classification outcomes.