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      Health-related quality of life and burden of illness in adults with newly diagnosed attention-deficit/hyperactivity disorder in Sweden

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          Abstract

          Background

          This observational, cross-sectional, retrospective chart review aimed to identify factors determining health-related quality of life (HRQoL) in adults with newly diagnosed attention-deficit/hyperactivity disorder (ADHD) in Sweden.

          Methods

          Adult participants with a new clinical diagnosis of ADHD were enrolled from two specialist outpatient clinics in Stockholm, Sweden, from 2013 to 2015. Data extracted from patient records included demographics, clinical characteristics and comorbid psychiatric diagnoses identified using the Mini International Neuropsychiatric Interview (MINI). Depression severity was assessed using the Montgomery–Åsberg Depression Rating Scale – Self-reported (MADRS-S). The self-rated five-dimension EuroQol questionnaire (EQ-5D) was used to measure HRQoL. Predictors of EQ-5D index score were identified using multivariate linear regression adjusting for age, sex, education level, and main income source.

          Results

          The mean age of the 189 enrolled patients was 35.2 years (standard deviation [SD], 12.3), and 107 (57%) were female. Psychiatric comorbidities were present in 92 patients (49%), with anxiety and depression being the most common diagnoses. The mean EQ-5D index score was 0.63 (SD, 0.28). Low EQ-5D index scores were significantly associated with high MADRS-S scores, multiple comorbid psychiatric disorders, low educational achievement, female sex, and not having a main income derived from employment or self-employment.

          Conclusions

          These findings suggest that adults with newly diagnosed ADHD experience low HRQoL, which may often be exacerbated by psychiatric comorbidities such as anxiety and depression. Patients presenting with ADHD and psychiatric comorbidities in adulthood may require particular care and resources in the management of their ADHD.

          Electronic supplementary material

          The online version of this article (10.1186/s12888-018-1803-y) contains supplementary material, which is available to authorized users.

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          Most cited references24

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          The age-dependent decline of attention deficit hyperactivity disorder: a meta-analysis of follow-up studies.

          This study examined the persistence of attention deficit hyperactivity disorder (ADHD) into adulthood. We analyzed data from published follow-up studies of ADHD. To be included in the analysis, these additional studies had to meet the following criteria: the study included a control group and it was clear from the methods if the diagnosis of ADHD included subjects who did not meet full criteria but showed residual and impairing signs of the disorder. We used a meta-analysis regression model to separately assess the syndromatic and symptomatic persistence of ADHD. When we define only those meeting full criteria for ADHD as having 'persistent ADHD', the rate of persistence is low, approximately 15% at age 25 years. But when we include cases consistent with DSM-IV's definition of ADHD in partial remission, the rate of persistence is much higher, approximately 65%. Our results show that estimates of ADHD's persistence rely heavily on how one defines persistence. Yet, regardless of definition, our analyses show that evidence for ADHD lessens with age. More work is needed to determine if this reflects true remission of ADHD symptoms or is due to the developmental insensitivity of diagnostic criteria for the disorder.
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            Prevalence and correlates of adult attention-deficit hyperactivity disorder: meta-analysis.

            In spite of the growing literature about adult attention-deficit hyperactivity disorder (ADHD), relatively little is known about the prevalence and correlates of this disorder. To estimate the prevalence of adult ADHD and to identify its demographic correlates using meta-regression analysis. We used the MEDLINE, PsycLit and EMBASE databases as well as hand-searching to find relevant publications. The pooled prevalence of adult ADHD was 2.5% (95% CI 2.1-3.1). Gender and mean age, interacting with each other, were significantly related to prevalence of ADHD. Meta-regression analysis indicated that the proportion of participants with ADHD decreased with age when men and women were equally represented in the sample. Prevalence of ADHD in adults declines with age in the general population. We think, however, that the unclear validity of DSM-IV diagnostic criteria for this condition can lead to reduced prevalence rates by underestimation of the prevalence of adult ADHD.
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              Swedish population health-related quality of life results using the EQ-5D.

              Health-related quality of life (HRQoL) measured on population level may be useful to guide policies for health. This study aims to describe the HRQoL; in EQ-5D dimensions, mean rating scale (RS) scores and mean EQ-5D index values, in the general population, by certain disease and socio-economic groups, in Stockholm County 1998. The EQ-5D self-classifier and a RS were included in the 1998 cross-sectional postal Stockholm County public health survey to a representative sample (n = 4950, 20-88 years), 63% response rate. Mean RS score ranged from 0.90 (20-29 years) to 0.69 (80-88 years), mean EQ-5D index value ranged from 0.89 (20-29 years) to 0.74 (80-88 years). For different diseases mean RS scores ranged from 0.80 (asthma) to 0.69 (angina pectoris), mean EQ-5D index values ranged from 0.79 (asthma) to 0.66 (low back pain). The mean health state scores (RS and EQ-5D index) were 0.06 lower in the unskilled manual group than in the higher non-manual group after controlling for age and sex (p < 0.0001). This difference was 0.03 after controlling also for different diseases (p < 0.0001). In conclusion, our results show that the HRQoL varies greatly between socio-economic and disease groups. Furthermore, after controlling for age, sex and disease, HRQoL is lower in manual than in non-manual groups.
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                Author and article information

                Contributors
                eahnemark@shire.com
                marianne.di.schiena@ptj.se
                anne-christine.fredman@sll.se
                emma.medin@parexel.com
                jonas.soderling@bellanalytics.se
                ylva@ginsberg.se
                Journal
                BMC Psychiatry
                BMC Psychiatry
                BMC Psychiatry
                BioMed Central (London )
                1471-244X
                13 July 2018
                13 July 2018
                2018
                : 18
                : 223
                Affiliations
                [1 ]GRID grid.481725.d, Shire, ; Vasagatan 7, SE-111 20 Stockholm, Sweden
                [2 ]Prima Child and Adult Psychiatry AB, Stockholm, Sweden
                [3 ]PAREXEL International, Stockholm, Sweden
                [4 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Learning, Informatics, Management and Ethics, , Karolinska Institute, ; Stockholm, Sweden
                [5 ]Bell Analytics, Stockholm, Sweden
                [6 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Medical Epidemiology and Biostatistics, , Karolinska Institute, ; Stockholm, Sweden
                [7 ]ISNI 0000 0004 1937 0626, GRID grid.4714.6, Department of Clinical Neuroscience, Centre for Psychiatry Research, , Karolinska Institute, ; Stockholm, Sweden
                [8 ]ISNI 0000 0001 2326 2191, GRID grid.425979.4, Present Address: Psychiatry Centre, Stockholm County Council, ; Södertälje, Sweden
                Article
                1803
                10.1186/s12888-018-1803-y
                6044069
                30005675
                e631c4b6-6218-4886-839a-259d26c823b0
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 6 February 2018
                : 27 June 2018
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2018

                Clinical Psychology & Psychiatry
                adhd,hrqol,psychiatric comorbidities
                Clinical Psychology & Psychiatry
                adhd, hrqol, psychiatric comorbidities

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