scholarly journals A Bayesian approach to estimating the population prevalence of mood and anxiety disorders using multiple measures

2021 ◽  
Vol 30 ◽  
Author(s):  
Jordan Edwards ◽  
A. Demetri Pananos ◽  
Amardeep Thind ◽  
Saverio Stranges ◽  
Maria Chiu ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Based ◽  
Accurate Estimate ◽  
Service Planning ◽  
Prevalence Estimate ◽  
Population Prevalence ◽  
Mood And Anxiety Disorders ◽  
Prevalence Estimates

Abstract Aims There is currently no universally accepted measure for population-based surveillance of mood and anxiety disorders. As such, the use of multiple linked measures could provide a more accurate estimate of population prevalence. Our primary objective was to apply Bayesian methods to two commonly employed population measures of mood and anxiety disorders to make inferences regarding the population prevalence and measurement properties of a combined measure. Methods We used data from the 2012 Canadian Community Health Survey – Mental Health linked to health administrative databases in Ontario, Canada. Structured interview diagnoses were obtained from the survey, and health administrative diagnoses were identified using a standardised algorithm. These two prevalence estimates, in addition to data on the concordance between these measures and prior estimates of their psychometric properties, were used to inform our combined estimate. The marginal posterior densities of all parameters were estimated using Hamiltonian Monte Carlo (HMC), a Markov Chain Monte Carlo technique. Summaries of posterior distributions, including the means and 95% equally tailed posterior credible intervals, were used for interpretation of the results. Results The combined prevalence mean was 8.6%, with a credible interval of 6.8–10.6%. This combined estimate sits between Bayesian-derived prevalence estimates from administrative data-derived diagnoses (mean = 7.4%) and the survey-derived diagnoses (mean = 13.9%). The results of our sensitivity analysis suggest that varying the specificity of the survey-derived measure has an appreciable impact on the combined posterior prevalence estimate. Our combined posterior prevalence estimate remained stable when varying other prior information. We detected no problematic HMC behaviour, and our posterior predictive checks suggest that our model can reliably recreate our data. Conclusions Accurate population-based estimates of disease are the cornerstone of health service planning and resource allocation. As a greater number of linked population data sources become available, so too does the opportunity for researchers to fully capitalise on the data. The true population prevalence of mood and anxiety disorders may reside between estimates obtained from survey data and health administrative data. We have demonstrated how the use of Bayesian approaches may provide a more informed and accurate estimate of mood and anxiety disorders in the population. This work provides a blueprint for future population-based estimates of disease using linked health data.

Adverse childhood experiences in relation to mood and anxiety disorders in a population-based sample of active military personnel

2012 ◽  
Vol 43 (1) ◽  
pp. 73-84 ◽  
Author(s):  
J. Sareen ◽  
C. A. Henriksen ◽  
S.-L. Bolton ◽  
T. O. Afifi ◽  
M. B. Stein ◽  
...  
Keyword(s):  
Anxiety Disorder ◽  
Anxiety Disorders ◽  
Military Personnel ◽  
Adverse Childhood Experiences ◽  
Mental Health Problems ◽  
Population Based ◽  
Panic Attacks ◽  
Childhood Experiences ◽  
Mood And Anxiety Disorders ◽  
Adverse Childhood

BackgroundAlthough it has been posited that exposure to adverse childhood experiences (ACEs) increases vulnerability to deployment stress, previous literature in this area has demonstrated conflicting results. Using a cross-sectional population-based sample of active military personnel, the present study examined the relationship between ACEs, deployment related stressors and mood and anxiety disorders.MethodData were analyzed from the 2002 Canadian Community Health Survey – Canadian Forces Supplement (CCHS-CFS; n = 8340, age 18–54 years, response rate 81%). The following ACEs were self-reported retrospectively: childhood physical abuse, childhood sexual abuse, economic deprivation, exposure to domestic violence, parental divorce/separation, parental substance abuse problems, hospitalization as a child, and apprehension by a child protection service. DSM-IV mood and anxiety disorders [major depressive disorder, post-traumatic stress disorder (PTSD), generalized anxiety disorder (GAD), panic attacks/disorder and social phobia] were assessed using the Composite International Diagnostic Interview (CIDI).ResultsEven after adjusting for the effects of deployment-related traumatic exposures (DRTEs), exposure to ACEs was significantly associated with past-year mood or anxiety disorder among men [adjusted odds ratio (aOR) 1.34, 99% confidence interval (CI) 1.03–1.73, p < 0.01] and women [aOR 1.37, 99% CI 1.00–1.89, p = 0.01]. Participants exposed to both ACEs and DRTEs had the highest prevalence of past-year mood or anxiety disorder in comparison to those who were exposed to either ACEs alone, DRTEs alone, or no exposure.ConclusionsACEs are associated with several mood and anxiety disorders among active military personnel. Intervention strategies to prevent mental health problems should consider the utility of targeting soldiers with exposure to ACEs.

scholarly journals Comparison of the estimated prevalence of mood and/or anxiety disorders in Canada between self-report and administrative data

2015 ◽  
Vol 25 (4) ◽  
pp. 360-369 ◽  
Author(s):  
S. O'Donnell ◽  
S. Vanderloo ◽  
L. McRae ◽  
J. Onysko ◽  
S. B. Patten ◽  
...  
Keyword(s):  
Mental Health ◽  
Anxiety Disorders ◽  
Administrative Data ◽  
Population Characteristics ◽  
Self Report ◽  
Data Sources ◽  
Prevalence Rates ◽  
Canadian Population ◽  
Prevalence Estimates ◽  
Over Time

Background.To compare trends in the estimated prevalence of mood and/or anxiety disorders identified from two data sources (self-report and administrative). Reviewing, synthesising and interpreting data from these two sources will help identify potential factors that underlie the observed estimates and inform public health action.Method.We used self-reported, diagnosed mood and/or anxiety disorder cases from the Canadian Community Health Survey (CCHS) across a 5-year span (from 2003 to 2009) to estimate the prevalence among the Canadian population aged ≥15 years. We also estimated the prevalence of mood and/or anxiety disorders using the Canadian Chronic Disease Surveillance System (CCDSS), which identified cases using ICD-9/-10-CA codes from physician billing claims and hospital discharge records during the same time period. The prevalence rates for mood and/or anxiety disorders were compared across the CCHS and CCDSS by age and sex for all available years of data from 2003 to 2009. Summary rates were age-standardised to the Canadian population as of 1 October 1991.Results.In 2009, the prevalence of mood and/or anxiety disorders was 9.4% using self-reported data v. 11.3% using administrative data. Prevalence rates obtained from administrative data were consistently higher than those from self-report for both men and women. However, due to an increase in the prevalence of self-reported cases, these differences decreased over time (rate ratios for both sexes: 1.6–1.2). Prevalence estimates were consistently higher among females compared with males irrespective of data source. While differences in the prevalence estimates between the two data sources were evident across all age groups, the reduction of these differences was greater among adolescent, young and middle-aged adults compared with those 70 years and older.Conclusions.The overall narrowing of differences over time reflects a convergence of information regarding the prevalence of mood and/or anxiety disorders trends between self-report and administrative data sources. While the administrative data-based prevalences remained relatively stable, the self-reported prevalences increased over time. These observations may reflect positive societal changes in the perceptions of mental health (declining stigma) and/or increasing mental health literacy. Additional research using non-ecological data is required to further our understanding of the observed findings and trends, including a data linkage exercise permitting a comparison of prevalence estimates and population characteristics from these two data sources both separately and merged.

scholarly journals Health status, activity limitations, work-related restrictions and level of disability among Canadians with mood and/or anxiety disorders

2016 ◽  
Vol 36 (12) ◽  
pp. 289-301 ◽  
Author(s):  
Lidia Loukine ◽  
Siobhan O’Donnell ◽  
E. M. Goldner ◽  
Louise McRae ◽  
H. Allen
Keyword(s):  
Mental Health ◽  
Anxiety Disorders ◽  
Population Based ◽  
Individual Characteristics ◽  
Severe Disability ◽  
Activity Limitations ◽  
Physical And Mental Health ◽  
Concurrent Disorders ◽  
Work Related ◽  
Mood And Anxiety Disorders

Introduction This study provides the first overview of the perceived general and mental health, activity limitations, work-related restrictions and level of disability, as well as factors associated with disability severity, among Canadian adults with mood and/or anxiety disorders, using a population-based household sample. Methods We used data from the 2014 Survey on Living with Chronic Diseases in Canada– Mood and Anxiety Disorders Component. The sample consists of Canadians aged 18 years and older with self-reported mood and/or anxiety disorders from the 10 provinces (n = 3361; response rate 68.9%). We conducted descriptive and multinomial multivariate logistic regression analyses. Results Among Canadian adults with mood and/or anxiety disorders, over one-quarter reported “fair/poor” general (25.3%) and mental (26.1%) health; more than one-third (36.4%) reported one or more activity limitations; half (50.3%) stated a job modification was required to continue working; and more than one-third (36.5%) had severe disability. Those with concurrent mood and anxiety disorders reported poorer outcomes: 56.4% had one or more activity limitations; 65.8% required a job modification and 49.6% were severely disabled. Upon adjusting for individual characteristics, those with mood and/or anxiety disorders who were older, who had a household income in the lowest or lower-middle adequacy quintile or who had concurrent disorders were more likely to have severe disability. Conclusion Findings from this study affirm that mood and/or anxiety disorders, especially concurrent disorders, are associated with negative physical and mental health outcomes. Results support the role of public health policy and programs aimed at improving the lives of people living with these disorders, in particular those with concurrent disorders.

scholarly journals Physical comorbidities in men with mood and anxiety disorders: a population-based study

BMC Medicine ◽  
2013 ◽  
Vol 11 (1) ◽  
Author(s):  
Livia Sanna ◽  
Amanda L Stuart ◽  
Julie A Pasco ◽  
Mark A Kotowicz ◽  
Michael Berk ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Population Based ◽  
Population Based Study ◽  
Mood And Anxiety Disorders

scholarly journals Prevalence of comorbidities between mood and anxiety disorders: associated factors in a population sample of young adults in southern Brazil

2014 ◽  
Vol 30 (11) ◽  
pp. 2413-2422 ◽  
Author(s):  
Mariane Ricardo Acosta Lopez Molina ◽  
Bárbara Spessato ◽  
Karen Jansen ◽  
Ricardo Pinheiro ◽  
Ricardo Silva ◽  
...  
Keyword(s):  
Young Adults ◽  
Anxiety Disorders ◽  
Population Sample ◽  
Population Based ◽  
Cross Sectional ◽  
Population Based Study ◽  
Mood And Anxiety Disorders ◽  
Education Levels ◽  
History Of ◽  
Probabilistic Sample

This research aims to evaluate factors associated with the presence of comorbidities between mood and anxiety disorders in young adults aged 18 to 24 years, from Pelotas, Rio Grande do Sul State, Brazil. This was a cross-sectional, population-based study with a probabilistic sample by conglomerates. The Mini International Neuropsychiatric Interview (MINI) was used to assess mood and anxiety disorders. The prevalence of mental disorders in the sample (n = 1,561) was of 26.8% of which 9.7% had comorbidities between mood and anxiety disorders. The prevalence of comorbidities on mood and anxiety disorders is almost three times higher among women than men (p < 0.001). Lower education levels, socioeconomic status (p < 0.001) and a history of divorced parents (p < 0.050) was associated with comorbidities between mood and anxiety disorders. The main conclusion is that social factors are highly associated with comorbidities between mood and anxiety disorders. Prevention strategies on mental health should focus particularly on women in vulnerable social conditions.

Concordance between health administrative data and survey‐derived diagnoses for mood and anxiety disorders

2020 ◽  
Vol 141 (4) ◽  
pp. 385-395 ◽  
Author(s):  
J. Edwards ◽  
A. Thind ◽  
S. Stranges ◽  
M. Chiu ◽  
K. K. Anderson
Keyword(s):  
Anxiety Disorders ◽  
Administrative Data ◽  
Health Administrative Data ◽  
Mood And Anxiety Disorders

O3-06-01: Incidence of Mood and Anxiety Disorders and Psychotropic use in Spousal Caregivers of Dementia: A Population-Based Study

2016 ◽  
Vol 12 ◽  
pp. P298-P298
Author(s):  
I. Fan Kuo ◽  
C. Andrew Basham ◽  
Heather Prior ◽  
Silvia Alessi-Severini ◽  
James Bolton ◽  
...  
Keyword(s):  
Anxiety Disorders ◽  
Population Based ◽  
Spousal Caregivers ◽  
Population Based Study ◽  
Mood And Anxiety Disorders

scholarly journals Prevalence Estimate of Cerebral Palsy in Northern Alberta: Births, 2008-2010

2017 ◽  
Vol 44 (4) ◽  
pp. 366-374 ◽  
Author(s):  
Charlene M.T. Robertson ◽  
M. Florencia Ricci ◽  
Kathleen O’Grady ◽  
Maryam Oskoui ◽  
Helly Goez ◽  
...  
Keyword(s):  
Cerebral Palsy ◽  
Gestational Age ◽  
Developed Countries ◽  
Population Based ◽  
Prevalence Estimate ◽  
Administrative Databases ◽  
Live Births ◽  
Prevalence Estimates ◽  
And Function ◽  
Northern Alberta

AbstractObjectives: The objectives of this study were to determine prevalence estimates of cerebral palsy (CP) among 5-year-old children in northern Alberta; to provide congenital, gestational age– and birth weight–specific, and postneonatal CP rates; and to describe motor subtypes and function. Methods: This population-based prevalence estimate study, part of the Canadian Cerebral Palsy Registry, reports confirmed CP diagnoses at age 5 years made by pediatric rehabilitation and child neurology specialists. Prevalence rates with 95% confidence intervals (CIs) used Alberta government denominators of same-age children and live births. Results: The Northern Alberta CP rate (birth years, 2008-2010) for 173 5-year-old children is 2.22 (95% CI 2.12, 2.32) per 1000 5-year-old children. The congenital CP rate is 1.99 (95% CI, 1.89-2.09) per 1000 live births; unilateral congenital CP, 1.0 (95% CI, 0.64-1.36) per 1000 live births; and postneonatal CP, 0.12 (95% CI, 0.1-0.14) per 1000 live births. Gestational age-specific rates are similar: age <28 weeks, 27.2 (95% CI, 23.05-31.35) and 28 to 31 weeks, 29.5 (95% CI, 25.78-33.22). Motor subtypes for 169 children (data missing, 4; male, 97; postnatal, 9) are: spastic, 148 (87.6%) including 31 (20.9%) with diplegia, 10 (6.8%) triplegia, 33 (22.2%) quadriplegia, 74 (50%) hemiplegia/monoplegia); and dyskinetic, 18 (10.6%) and ataxic, 3 (1.8%). A total of 107 (63.3%) ambulate without assistive devices and 111(65.7%) handle most objects with their hands independently. Conclusions: This is the fourth Canadian CP prevalence study; one from Quebec used a similar case ascertainment approach and two 1980s studies from Alberta and British Columbia used administrative databases. Northern Alberta CP rates are comparable with other developed countries. The hemiplegic subtype is the most common. Rates among preterm children have declined but are similar for the <28 and 28 to 31 gestation-week groups.

Sign in / Sign up

Export Citation Format

Share Document