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      Childhood temperamental, emotional, and behavioral characteristics associated with mood and anxiety disorder s in adolescence: A prospective study

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          Abstract

          Background

          Mood and anxiety disorders account for a large share of the global burden of disability. Some studies suggest that early signs may emerge already in childhood. However, there is a lack of well‐powered, prospective studies investigating how and when childhood mental traits and trajectories relate to adolescent mood and anxiety disorders.

          Methods

          We here examine cross‐sectional and longitudinal association between maternally reported temperamental traits, emotional and behavioral problems in childhood (0.5–8 years) and clinical diagnosis of mood or anxiety (“emotional”) disorders in adolescence (10–18 years), using the prospective Norwegian Mother, Father and Child Cohort Study (MoBa) of 110,367 children.

          Results

          Logistic regression analyses showed consistent and increasing associations between childhood negative emotionality, behavioral and emotional problems and adolescent diagnosis of emotional disorders, present from 6 months of age (negative emotionality). Latent profile analysis incorporating latent growth models identified five developmental profiles of emotional and behavioral problems. A profile of early increasing behavioral and emotional problems with combined symptoms at 8 years (1.3% of sample) was the profile most strongly associated with emotional disorders in adolescence (OR vs. reference: 5.00, 95% CI: 3.70–6.30).

          Conclusions

          We found a consistent and increasing association between negative emotionality, behavioral and emotional problems in early to middle childhood and mood and anxiety disorders in adolescence. A developmental profile coherent with early and increasing disruptive mood dysregulation across childhood was the profile strongest associated with adolescent emotional disorders. Our results highlight the importance of early emotional dysregulation and childhood as a formative period in the development of adolescent mood and anxiety disorders, supporting potential for prevention and early intervention initiatives.

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          Most cited references58

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

            Summary Background In an era of shifting global agendas and expanded emphasis on non-communicable diseases and injuries along with communicable diseases, sound evidence on trends by cause at the national level is essential. The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) provides a systematic scientific assessment of published, publicly available, and contributed data on incidence, prevalence, and mortality for a mutually exclusive and collectively exhaustive list of diseases and injuries. Methods GBD estimates incidence, prevalence, mortality, years of life lost (YLLs), years lived with disability (YLDs), and disability-adjusted life-years (DALYs) due to 369 diseases and injuries, for two sexes, and for 204 countries and territories. Input data were extracted from censuses, household surveys, civil registration and vital statistics, disease registries, health service use, air pollution monitors, satellite imaging, disease notifications, and other sources. Cause-specific death rates and cause fractions were calculated using the Cause of Death Ensemble model and spatiotemporal Gaussian process regression. Cause-specific deaths were adjusted to match the total all-cause deaths calculated as part of the GBD population, fertility, and mortality estimates. Deaths were multiplied by standard life expectancy at each age to calculate YLLs. A Bayesian meta-regression modelling tool, DisMod-MR 2.1, was used to ensure consistency between incidence, prevalence, remission, excess mortality, and cause-specific mortality for most causes. Prevalence estimates were multiplied by disability weights for mutually exclusive sequelae of diseases and injuries to calculate YLDs. We considered results in the context of the Socio-demographic Index (SDI), a composite indicator of income per capita, years of schooling, and fertility rate in females younger than 25 years. Uncertainty intervals (UIs) were generated for every metric using the 25th and 975th ordered 1000 draw values of the posterior distribution. Findings Global health has steadily improved over the past 30 years as measured by age-standardised DALY rates. After taking into account population growth and ageing, the absolute number of DALYs has remained stable. Since 2010, the pace of decline in global age-standardised DALY rates has accelerated in age groups younger than 50 years compared with the 1990–2010 time period, with the greatest annualised rate of decline occurring in the 0–9-year age group. Six infectious diseases were among the top ten causes of DALYs in children younger than 10 years in 2019: lower respiratory infections (ranked second), diarrhoeal diseases (third), malaria (fifth), meningitis (sixth), whooping cough (ninth), and sexually transmitted infections (which, in this age group, is fully accounted for by congenital syphilis; ranked tenth). In adolescents aged 10–24 years, three injury causes were among the top causes of DALYs: road injuries (ranked first), self-harm (third), and interpersonal violence (fifth). Five of the causes that were in the top ten for ages 10–24 years were also in the top ten in the 25–49-year age group: road injuries (ranked first), HIV/AIDS (second), low back pain (fourth), headache disorders (fifth), and depressive disorders (sixth). In 2019, ischaemic heart disease and stroke were the top-ranked causes of DALYs in both the 50–74-year and 75-years-and-older age groups. Since 1990, there has been a marked shift towards a greater proportion of burden due to YLDs from non-communicable diseases and injuries. In 2019, there were 11 countries where non-communicable disease and injury YLDs constituted more than half of all disease burden. Decreases in age-standardised DALY rates have accelerated over the past decade in countries at the lower end of the SDI range, while improvements have started to stagnate or even reverse in countries with higher SDI. Interpretation As disability becomes an increasingly large component of disease burden and a larger component of health expenditure, greater research and development investment is needed to identify new, more effective intervention strategies. With a rapidly ageing global population, the demands on health services to deal with disabling outcomes, which increase with age, will require policy makers to anticipate these changes. The mix of universal and more geographically specific influences on health reinforces the need for regular reporting on population health in detail and by underlying cause to help decision makers to identify success stories of disease control to emulate, as well as opportunities to improve. Funding Bill & Melinda Gates Foundation.
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              Latent Class Modeling with Covariates: Two Improved Three-Step Approaches

              J. Vermunt (2010)
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                Author and article information

                Contributors
                norarba@uio.no
                Journal
                Acta Psychiatr Scand
                Acta Psychiatr Scand
                10.1111/(ISSN)1600-0447
                ACPS
                Acta Psychiatrica Scandinavica
                John Wiley and Sons Inc. (Hoboken )
                0001-690X
                1600-0447
                25 November 2022
                February 2023
                : 147
                : 2 ( doiID: 10.1111/acps.v147.2 )
                : 217-228
                Affiliations
                [ 1 ] NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction Oslo University Hospital Oslo Norway
                [ 2 ] Nic Waals Institute Lovisenberg Diaconal Hospital Oslo Norway
                [ 3 ] Department of Mental Disorders Norwegian Institute of Public Health Oslo Norway
                [ 4 ] Population Health Sciences, Bristol Medical School University of Bristol Bristol UK
                [ 5 ] Institute of Psychiatry, Psychology and Neuroscience King's College London London UK
                [ 6 ] Department of Psychology University of Oslo Oslo Norway
                [ 7 ] Institute of Clinical Medicine University of Oslo Oslo Norway
                [ 8 ] KG Jebsen Centre for Neurodevelopmental Disorders University of Oslo Oslo Norway
                Author notes
                [*] [* ] Correspondence

                Nora R. Bakken, NORMENT Centre, Institute of Clinical Medicine, University of Oslo and Division of Mental Health and Addiction, Oslo University Hospital, Ullevål, Kirkeveien 166, 0450 Oslo, Norway.

                Email: norarba@ 123456uio.no

                Author information
                https://orcid.org/0000-0003-2553-452X
                https://orcid.org/0000-0003-3123-5411
                https://orcid.org/0000-0002-7467-250X
                https://orcid.org/0000-0003-1666-4701
                https://orcid.org/0000-0003-0149-5319
                https://orcid.org/0000-0003-4653-0034
                https://orcid.org/0000-0001-7495-5545
                https://orcid.org/0000-0002-4461-3568
                https://orcid.org/0000-0002-9268-0423
                Article
                ACPS13522
                10.1111/acps.13522
                10099752
                36398468
                4e7830fa-2550-4ef0-ac2e-0c06c64c26cc
                © 2022 The Authors. Acta Psychiatrica Scandinavica published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 22 October 2022
                : 12 July 2022
                : 12 November 2022
                Page count
                Figures: 3, Tables: 2, Pages: 12, Words: 7362
                Funding
                Funded by: The Research Council of Norway
                Award ID: 271555/F21
                Award ID: 273291
                Award ID: 223273
                Award ID: 274611
                Award ID: 288083
                Funded by: University of Oslo , doi 10.13039/501100005366;
                Funded by: Norwegian Ministry of Health and Care Services and the Ministry of Education and Research
                Funded by: Southern and Eastern Norway Regional Health Authority , doi 10.13039/501100006095;
                Award ID: 2018058
                Award ID: 2019097
                Award ID: 2022083
                Award ID: 2018059
                Award ID: 2020022
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                February 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:13.04.2023

                Clinical Psychology & Psychiatry
                anxiety disorders,depressive disorders,development,irritability,moba

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