| 1. |
- Jami, E. S., et al.
(författare)
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Genome-wide Association Meta-analysis of Childhood and Adolescent Internalizing Symptoms
- 2022
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Ingår i: Journal of the American Academy of Child and Adolescent Psychiatry. - : Elsevier BV. - 0890-8567 .- 1527-5418. ; 61:7, s. 934-945
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Tidskriftsartikel (refereegranskat)abstract
- Objective: To investigate the genetic architecture of internalizing symptoms in childhood and adolescence. Method: In 22 cohorts, multiple univariate genome-wide association studies (GWASs) were performed using repeated assessments of internalizing symptoms, in a total of 64,561 children and adolescents between 3 and 18 years of age. Results were aggregated in meta-analyses that accounted for sample overlap, first using all available data, and then using subsets of measurements grouped by rater, age, and instrument. Results: The meta-analysis of overall internalizing symptoms (INToverall) detected no genome-wide significant hits and showed low single nucleotide polymorphism (SNP) heritability (1.66%, 95% CI = 0.84-2.48%, n(effective) = 132,260). Stratified analyses indicated rater-based heterogeneity in genetic effects, with self-reported internalizing symptoms showing the highest heritability (5.63%, 95% CI = 3.08%-8.18%). The contribution of additive genetic effects on internalizing symptoms appeared to be stable over age, with overlapping estimates of SNP heritability from early childhood to adolescence. Genetic correlations were observed with adult anxiety, depression, and the well-being spectrum (vertical bar r(g)vertical bar > 0.70), as well as with insomnia, loneliness, attention-deficit/hyperactivity disorder, autism, and childhood aggression (range vertical bar r(g)vertical bar = 0.42-0.60), whereas there were no robust associations with schizophrenia, bipolar disorder, obsessive-compulsive disorder, or anorexia nervosa. Conclusion: Genetic correlations indicate that childhood and adolescent internalizing symptoms share substantial genetic vulnerabilities with adult internalizing disorders and other childhood psychiatric traits, which could partially explain both the persistence of internalizing symptoms over time and the high comorbidity among childhood psychiatric traits. Reducing phenotypic heterogeneity in childhood samples will be key in paving the way to future GWAS success.
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| 3. |
- Akingbuwa, W. A., et al.
(författare)
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Genetic Associations between Childhood Psychopathology and Adult Depression and Associated Traits in 42998 Individuals: A Meta-Analysis
- 2020
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Ingår i: JAMA Psychiatry. - : American Medical Association (AMA). - 2168-622X .- 2168-6238. ; 77:7, s. 715-728
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Tidskriftsartikel (refereegranskat)abstract
- Importance: Adult mood disorders are often preceded by behavioral and emotional problems in childhood. It is yet unclear what explains the associations between childhood psychopathology and adult traits. Objective: To investigate whether genetic risk for adult mood disorders and associated traits is associated with childhood disorders. Design, Setting, and Participants: This meta-analysis examined data from 7 ongoing longitudinal birth and childhood cohorts from the UK, the Netherlands, Sweden, Norway, and Finland. Starting points of data collection ranged from July 1985 to April 2002. Participants were repeatedly assessed for childhood psychopathology from ages 6 to 17 years. Data analysis occurred from September 2017 to May 2019. Exposures: Individual polygenic scores (PGS) were constructed in children based on genome-wide association studies of adult major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI). Main Outcomes and Measures: Regression meta-analyses were used to test associations between PGS and attention-deficit/hyperactivity disorder (ADHD) symptoms and internalizing and social problems measured repeatedly across childhood and adolescence and whether these associations depended on childhood phenotype, age, and rater. Results: The sample included 42998 participants aged 6 to 17 years. Male participants varied from 43.0% (1040 of 2417 participants) to 53.1% (2434 of 4583 participants) by age and across all cohorts. The PGS of adult major depression, neuroticism, BMI, and insomnia were positively associated with childhood psychopathology (β estimate range, 0.023-0.042 [95% CI, 0.017-0.049]), while associations with PGS of subjective well-being and educational attainment were negative (β, -0.026 to -0.046 [95% CI, -0.020 to -0.057]). There was no moderation of age, type of childhood phenotype, or rater with the associations. The exceptions were stronger associations between educational attainment PGS and ADHD compared with internalizing problems (Δβ, 0.0561 [Δ95% CI, 0.0318-0.0804]; ΔSE, 0.0124) and social problems (Δβ, 0.0528 [Δ95% CI, 0.0282-0.0775]; ΔSE, 0.0126), and between BMI PGS and ADHD and social problems (Δβ, -0.0001 [Δ95% CI, -0.0102 to 0.0100]; ΔSE, 0.0052), compared with internalizing problems (Δβ, -0.0310 [Δ95% CI, -0.0456 to -0.0164]; ΔSE, 0.0074). Furthermore, the association between educational attainment PGS and ADHD increased with age (Δβ, -0.0032 [Δ 95% CI, -0.0048 to -0.0017]; ΔSE, 0.0008). Conclusions and Relevance: Results from this study suggest the existence of a set of genetic factors influencing a range of traits across the life span with stable associations present throughout childhood. Knowledge of underlying mechanisms may affect treatment and long-term outcomes of individuals with psychopathology.. © 2020 Lippincott Williams and Wilkins. All rights reserved.
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| 4. |
- Akingbuwa, W. A., et al.
(författare)
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Multivariate analyses of molecular genetic associations between childhood psychopathology and adult mood disorders and related traits
- 2022
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Ingår i: American Journal of Medical Genetics Part B-Neuropsychiatric Genetics. - : Wiley. - 1552-4841 .- 1552-485X. ; 192:1-2, s. 3-12
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Tidskriftsartikel (refereegranskat)abstract
- Ubiquitous associations have been detected between different types of childhood psychopathology and polygenic risk scores based on adult psychiatric disorders and related adult outcomes, indicating that genetic factors partly explain the association between childhood psychopathology and adult outcomes. However, these analyses in general do not take into account the correlations between the adult trait and disorder polygenic risk scores. This study aimed to further clarify the influence of genetic factors on associations between childhood psychopathology and adult outcomes by accounting for these correlations. Using a multivariate multivariable regression, we analyzed associations of childhood attention-deficit/hyperactivity disorder (ADHD), internalizing, and social problems, with polygenic scores (PGS) of adult disorders and traits including major depression, bipolar disorder, subjective well-being, neuroticism, insomnia, educational attainment, and body mass index (BMI), derived for 20,539 children aged 8.5-10.5 years. After correcting for correlations between the adult phenotypes, major depression PGS were associated with all three childhood traits, that is, ADHD, internalizing, and social problems. In addition, BMI PGS were associated with ADHD symptoms and social problems, while neuroticism PGS were only associated with internalizing problems and educational attainment PGS were only associated with ADHD symptoms. PGS of bipolar disorder, subjective well-being, and insomnia were not associated with any childhood traits. Our findings suggest that associations between childhood psychopathology and adult traits like insomnia and subjective well-being may be primarily driven by genetic factors that influence adult major depression. Additionally, specific childhood phenotypes are genetically associated with educational attainment, BMI and neuroticism.
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| 5. |
- Tate, A. E., et al.
(författare)
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A genetically informed prediction model for suicidal and aggressive behaviour in teens
- 2022
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Ingår i: Translational Psychiatry. - : Springer Science and Business Media LLC. - 2158-3188. ; 12:1
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Tidskriftsartikel (refereegranskat)abstract
- Suicidal and aggressive behaviours cause significant personal and societal burden. As risk factors associated with these behaviours frequently overlap, combined approaches in predicting the behaviours may be useful in identifying those at risk for either. The current study aimed to create a model that predicted if individuals will exhibit suicidal behaviour, aggressive behaviour, both, or neither in late adolescence. A sample of 5,974 twins from the Child and Adolescent Twin Study in Sweden (CATSS) was broken down into a training (80%), tune (10%) and test (10%) set. The Netherlands Twin Register (NTR; N = 2702) was used for external validation. Our longitudinal data featured genetic, environmental, and psychosocial predictors derived from parental and self-report data. A stacked ensemble model was created which contained a gradient boosted machine, random forest, elastic net, and neural network. Model performance was transferable between CATSS and NTR (macro area under the receiver operating characteristic curve (AUC) [95% CI] AUC(CATSS(test set)) = 0.709 (0.671-0.747); AUC(NTR) = 0.685 (0.656-0.715), suggesting model generalisability across Northern Europe. The notable exception is suicidal behaviours in the NTR, which was no better than chance. The 25 highest scoring variable importance scores for the gradient boosted machines and random forest models included self-reported psychiatric symptoms in mid-adolescence, sex, and polygenic scores for psychiatric traits. The model's performance is comparable to current prediction models that use clinical interviews and is not yet suitable for clinical use. Moreover, genetic variables may have a role to play in predictive models of adolescent psychopathology.
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- Tate, A. E., et al.
(författare)
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Association and Familial Coaggregation of Type 1 Diabetes and Eating Disorders: A Register-Based Cohort Study in Denmark and Sweden
- 2021
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Ingår i: Diabetes Care. - : American Diabetes Association. - 0149-5992 .- 1935-5548. ; 44:5, s. 1143-1150
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE To ascertain the association and coaggregation of eating disorders and childhood-onset type 1 diabetes in families. RESEARCH DESIGN AND METHODS Using population samples from national registers in Sweden (n = 2,517,277) and Demark (n = 1,825,920), we investigated the within-individual association between type 1 diabetes and eating disorders and their familial coaggregation among full siblings, half siblings, full cousins, and half cousins. On the basis of clinical diagnoses, we classified eating disorders into any eating disorder (AED), anorexia nervosa (AN) and atypical AN, and other eating disorder (OED). Associations were determined with hazard ratios (HRs) with 95% CIs from Cox regressions. RESULTS Swedish and Danish individuals with a type 1 diabetes diagnosis had a greater risk of receiving an eating disorder diagnosis (HR [95% CI] Sweden: AED 2.02 [1.80-2.27], AN 1.63 [1.36-1.96], OED 2.34 [2.07-2.63]; Denmark: AED 2.19 [1.84-2.61], AN 1.78 [1.36-2.33], OED 2.65 [2.20-3.21]). We also meta-analyzed the results: AED 2.07 (1.88-2.28), AN 1.68 (1.44-1.95), OED 2.44 (2.17-2.72). There was an increased risk of receiving an eating disorder diagnosis in full siblings in the Swedish cohort (AED 1.25 [1.07-1.46], AN 1.28 [1.04-1.57], OED 1.28 [1.07-1.52]); these results were nonsignificant in the Danish cohort. CONCLUSIONS Patients with type 1 diabetes are at a higher risk of subsequent eating disorders; however, there is conflicting support for the relationship between having a sibling with type 1 diabetes and an eating disorder diagnosis. Diabetes health care teams should be vigilant about disordered eating behaviors in children and adolescents with type 1 diabetes.
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| 15. |
- Tate, A. E., et al.
(författare)
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Predicting mental health problems in adolescence using machine learning techniques
- 2020
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Ingår i: PLoS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 15:4
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Tidskriftsartikel (refereegranskat)abstract
- Background Predicting which children will go on to develop mental health symptoms as adolescents is critical for early intervention and preventing future, severe negative outcomes. Although many aspects of a child's life, personality, and symptoms have been flagged as indicators, there is currently no model created to screen the general population for the risk of developing mental health problems. Additionally, the advent of machine learning techniques represents an exciting way to potentially improve upon the standard prediction modelling technique, logistic regression. Therefore, we aimed to I.) develop a model that can predict mental health problems in mid-adolescence II.) investigate if machine learning techniques (random forest, support vector machines, neural network, and XGBoost) will outperform logistic regression. Methods In 7,638 twins from the Child and Adolescent Twin Study in Sweden we used 474 predictors derived from parental report and register data. The outcome, mental health problems, was determined by the Strengths and Difficulties Questionnaire. Model performance was determined by the area under the receiver operating characteristic curve (AUC). Results Although model performance varied somewhat, the confidence interval overlapped for each model indicating non-significant superiority for the random forest model (AUC = 0.739, 95% CI 0.708-0.769), followed closely by support vector machines (AUC = 0.735, 95% CI 0.707-0.764). Conclusion Ultimately, our top performing model would not be suitable for clinical use, however it lays important groundwork for future models seeking to predict general mental health outcomes. Future studies should make use of parent-rated assessments when possible. Additionally, it may not be necessary for similar studies to forgo logistic regression in favor of other more complex methods.
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| 16. |
- van't Westeinde, A, et al.
(författare)
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Sex differences in brain structure: a twin study on restricted and repetitive behaviors in twin pairs with and without autism
- 2019
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Ingår i: Molecular autism. - : Springer Science and Business Media LLC. - 2040-2392. ; 11:1, s. 1-
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Tidskriftsartikel (refereegranskat)abstract
- BackgroundFemales with autism spectrum disorder have been reported to exhibit fewer and less severe restricted and repetitive behaviors and interests compared to males. This difference might indicate sex-specific alterations of brain networks involved in autism symptom domains, especially within cortico-striatal and sensory integration networks. This study used a well-controlled twin design to examine sex differences in brain anatomy in relation to repetitive behaviors.MethodsIn 75 twin pairs (n= 150, 62 females, 88 males) enriched for autism spectrum disorder (n= 32), and other neurodevelopmental disorders (n= 32), we explored the association of restricted and repetitive behaviors and interests—operationalized by the Autism Diagnostic Interview-Revised (C domain) and the Social Responsiveness Scale-2 (Restricted Interests and Repetitive Behavior subscale)—with cortical volume, surface area and thickness of neocortical, sub-cortical, and cerebellar networks.ResultsCo-twin control analyses revealed within-pair associations between RRBI symptoms and increased thickness of the right intraparietal sulcus and reduced volume of the right orbital gyrus in females only, even though the mean number of RRBIs did not differ between the sexes. In a sub-sample of ASD-discordant pairs, increased thickness in association with RRBIs was found exclusively in females in the orbitofrontal regions, superior frontal gyrus, and intraparietal sulcus, while in males RRBIs tended to be associated with increased volume of the bilateral pallidum.LimitationsHowever, due to a small sample size and the small difference in RRBI symptoms within pairs, the results of this exploratory study need to be interpreted with caution.ConclusionsOur findings suggest that structural alterations of fronto-parietal networks in association with RRBIs are found mostly in females, while striatal networks are more affected in males. These results endorse the importance of investigating sex differences in the neurobiology of autism symptoms, and indicate different etiological pathways underlying restricted and repetitive behaviors and interests in females and males.
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- Borg, J., et al.
(författare)
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Contribution of non-genetic factors to dopamine and serotonin receptor availability in the adult human brain
- 2016
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Ingår i: Molecular Psychiatry. - London, United Kingdom : Nature Publishing Group. - 1359-4184 .- 1476-5578. ; 51, s. 879-879
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Tidskriftsartikel (refereegranskat)abstract
- The dopamine (DA) and serotonin (5-HT) neurotransmission systems are of fundamental importance for normal brain function and serve as targets for treatment of major neuropsychiatric disorders. Despite central interest for these neurotransmission systems in psychiatry research, little is known about the regulation of receptor and transporter density levels. This lack of knowledge obscures interpretation of differences in protein availability reported in psychiatric patients. In this study, we used positron emission tomography (PET) in a twin design to estimate the relative contribution of genetic and environmental factors, respectively, on dopaminergic and serotonergic markers in the living human brain. Eleven monozygotic and 10 dizygotic healthy male twin pairs were examined with PET and [(11)C]raclopride binding to the D2- and D3-dopamine receptor and [(11)C]WAY100635 binding to the serotonin 5-HT1A receptor. Heritability, shared environmental effects and individual-specific non-shared effects were estimated for regional D2/3 and 5-HT1A receptor availability in projection areas. We found a major contribution of genetic factors (0.67) on individual variability in striatal D2/3 receptor binding and a major contribution of environmental factors (pairwise shared and unique individual; 0.70-0.75) on neocortical 5-HT1A receptor binding. Our findings indicate that individual variation in neuroreceptor availability in the adult brain is the end point of a nature-nurture interplay, and call for increased efforts to identify not only the genetic but also the environmental factors that influence neurotransmission in health and disease.
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- Brikell, I., et al.
(författare)
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ADHD medications and the risk of epileptic seizures : a pharmacoepidemiological study using nationwide register data
- 2017
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Ingår i: European Neuropsychopharmacology. - : Elsevier. - 0924-977X .- 1873-7862. ; 27:Suppl. 4, s. S1113-S1114
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: Attention-deficit/hyperactivity disorder (ADHD) affects 10–30% of children with epilepsy, making it one of the most common comorbidities in epilepsy. Stimulant medications are first line pharmacological treatment of ADHD, yet there areconcerns regarding the safety of stimulant treatment in patients with comorbid ADHD and epilepsy. This is due to the long held view that stimulants may lower the seizure threshold and increase seizure frequency [1]. Evidence for such an effect are however inconsistent and largely based on studies with small sample sizes, highly selected patient populations and observational studies that have not sufficiently addressed issues of confounding [2]. The aim of this pharmacoepidemiological register based study wastherefore to estimate the risk of seizures in relation to ADHD medication use in a population based cohort of individuals with a history of seizures.Methods: Using Swedish national registers, we identified a cohort of 62,361 individuals (48% female) born in Sweden between 1960 and 2004, with at least one seizure episode according to ICD codes. Each individual was followed from January 1st 2006, their first seizure or age five, up until December 31st 2013 or death, whichever came first. We identified periods of ADHD medication use (methylphenidate, amphetamine, dexamphetamine, lisdexamfetamine, and atomoxetine) from the Swedish National Prescribed Drug Register. A period was defined as on-medication when two consecutive prescriptions where no more than 183 days apart, and off-medication if more than 183 daysapart. We obtained information on medical visit for unplanned seizures events from the Swedish National Patient register using ICD codes. We estimated the population level association between ADHD medications and the rate of seizures during medicated and non-medication periods using a cox proportional hazards regression model. To adjust for individual-specific confounding that may influence both seizure risk and the likelihood of receiving ADHD medication, we used a stratified Cox regression model to estimate the rate of seizures during medicated and non-medicated periods, within the same individual.Preliminary Result: A total of 59,749 seizure events occurred during 361,501 person years of follow-up. ADHD medications were not associated with the rate of seizures at the population level (HR = 1.06, 95%CI 0.91–1.23). In the within-individual analysis, ADHD medication periods were associated with a reduced rate of seizures (HR = 0.70, 95%CI 0.62–0.79), compared to non-medicated periods. Estimates did not differ across sex, nor in age restricted analyses including only ages 5 and 20 years. All analyses were adjusted for age as a time-varying covariate. Population level analyses were additionally adjusted for sex.Conclusions: Our findings suggest that ADHD medications are not associated with an increased risk of seizures. Rather, results from the within-individual analysis, which adjusts for factors that are constant within the individual, such as genetic factors and underlying disorder severity, suggest a protective effect of ADHD medication treatment on seizure rates. Next, we will study the effect of concurrent antiepileptic medication use and whether the observed effect differs by stimulant and non-stimulant ADHD medications. We will also further investigate possible mechanisms contributing to the observed protective effect of ADHD medications on seizure rates.References[1] Williams, A.E., Giust, J.M., Kronenberger, W.G., Dunn, D.W., 2016. Epilepsy and attention-deficit hyperactivity disorder: links, risks, and challenges. Neuropsychiatr Dis Treat 12, 287–296.[2] Ravi, M., Ickowicz, A., 2016. Epilepsy, Attention-Deficit/Hyperactivity Disorder and Methylphenidate: Critical Examination of Guiding Evidence. Journal of the Canadian Academy of Child and Adolescent Psychiatry 25 (1), 50.
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| 35. |
- Che, WI, et al.
(författare)
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Familial aggregation and heritability: a nationwide family-based study of idiopathic inflammatory myopathies
- 2021
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Ingår i: Annals of the rheumatic diseases. - : BMJ. - 1468-2060 .- 0003-4967. ; 80:11, s. 1461-1466
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Tidskriftsartikel (refereegranskat)abstract
- The magnitude of the genetic contribution to idiopathic inflammatory myopathies (IIMs) is unknown. In this project, we aimed to investigate the familial aggregation and heritability of IIM.MethodsThis is a family-based study using nationwide healthcare register data in Sweden. We matched each patient with IIM to individuals without IIM, identified their first-degree relatives and determined the IIM status among all first-degree relatives. We estimated the adjusted ORs (aORs) of familial aggregation of IIM using conditional logistic regression. In addition, we used tetrachoric correlation to estimate the heritability of IIM.ResultsWe included 7615 first-degree relatives of 1620 patients with IIM diagnosed between 1997 and 2016 and 37 309 first-degree relatives of 7797 individuals without IIM. Compared with individuals without IIM, patients with IIM were more likely to have ≥1 first-degree relative affected by IIM (aOR=4.32, 95% CI 2.00 to 9.34). Furthermore, the aOR of familial aggregation of IIM in full siblings was 2.53 (95% CI 1.62 to 3.96). The heritability of IIM was 22% (95% CI 12% to 31%) among any first-degree relatives and 24% (95% CI 12% to 37%) among full siblings.ConclusionsIIM has a familial component with a risk of aggregation among first-degree relatives and a heritability of about 20%. This information is of importance for future aetiological studies and in clinical counselling.
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- Chen, C., et al.
(författare)
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Associations between general and specific mental health conditions in young adulthood and cardiometabolic complications in middle adulthood : A 40-year longitudinal familial coaggregation study of 672 823 Swedish individuals
- 2023
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Ingår i: European psychiatry. - : Cambridge University Press. - 0924-9338 .- 1778-3585. ; 66:Suppl. 1, s. S67-S68
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Introduction: Most mental disorders, when examined individually, are associated with an increased risk of cardiometabolic complications. However, these associations might be attributed to a general liability toward psychopathology or confounded by unmeasured familial factors.Objectives: To examine whether the associations between psychiatric diagnoses and increased risk of cardiometabolic complications are attributable to a general liability toward psychopathology, or confounded by unmeasured familial factors.Methods: We conducted a cohort study in Sweden and identified all individuals and their siblings born in Sweden 1955-1962 with follow-up through 2013. After excluding individuals who died or emigrated before 1987, the final sample consisted 672 823 individuals. We extracted ICD-coded diagnoses (recorded 1973-1987) for ten psychiatric conditions and criminal convictions when participants were aged 18-25 years, and ICD-coded diagnoses (recorded 1987-2013) for five cardiometabolic complications (obesity, hypertensive diseases, hyperlipidemia, type 2 diabetes mellitus, and cardiovascular diseases) when the participants were 51-58 years old. Logistic regression models were used to estimate the bivariate associations between psychiatric conditions or criminal convictions and cardiometabolic complications in individuals. A general factor model was used to identify general, internalizing, externalizing, and psychotic factors based on the psychiatric conditions and criminal convictions. We then regressed the cardiometabolic complications on the latent general factor and three uncorrelated specific factors within a structural equation modeling framework in individuals and across sibling pairs.Results: Each psychiatric conditions significantly increased the risk of cardiometabolic complications; however, most of these associations were attributable to the general factor of psychopathology, rather than to specific psychiatric conditions. There were no or only small associations between individuals’ general psychopathology and their siblings’ cardiometabolic complications, suggesting that the associations were not attributable to genetic or environmental confounding factors shared within families. The same pattern was evident for the specific internalizing and psychotic factors.Conclusions: Individuals with mental disorders in early life had an increased long term risk of cardiometabolic complications, which appeared attributable to a general liability toward psychopathology. Sibling analyses suggested that the elevated risk could not beattributed to confounds shared within families. This highlights the importance of transdiagnostic and lifestyle based interventions to reduce the risk of cardiometabolic complications, particularly in patients with several mental disorders.
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- Chen, C., et al.
(författare)
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Chronic pain conditions and risk of suicidal behavior : a 10-year longitudinal co-twin control study
- 2023
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Ingår i: BMC Medicine. - : BioMed Central (BMC). - 1741-7015. ; 21:1
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Understanding the relationship between chronic pain conditions and suicidal behavior-suicide attempt, other intentional self-harm, and death by suicide-is imperative for suicide prevention efforts. Although chronic pain conditions are associated with suicidal behaviors, these associations might be attributed to unmeasured confounding or mediated via pain comorbidity.METHODS: We linked a population-based Swedish twin study (N=17,148 twins) with 10 years of longitudinal, nationwide records of suicidal behavior from health and mortality registers through 2016. To investigate whether pain comorbidity versus specific pain conditions were more important for later suicidal behavior, we modeled a general factor of pain and two independent specific pain factors (measuring pain-related somatic symptoms and neck-shoulder pain, respectively) based on 9 self-reported chronic pain conditions. To examine whether the pain-suicidal behavior associations were attributable to familial confounding, we applied a co-twin control model.RESULTS: Individuals scoring one standard deviation above the mean on the general pain factor had a 51% higher risk of experiencing suicidal behavior (odds ratio (OR), 1.51; 95% confidence interval (CI), 1.34-1.72). The specific factor of somatic pain was also associated with increased risk for suicidal behavior (OR, 1.80; 95% CI, 1.45-2.22]). However, after adjustment for familial confounding, the associations were greatly attenuated and not statistically significant within monozygotic twin pairs (general pain factor OR, 0.89; 95% CI, 0.59-1.33; somatic pain factor OR, 1.02; 95% CI, 0.49-2.11)CONCLUSION: Clinicians might benefit from measuring not only specific types of pain, but also pain comorbidity; however, treating pain might not necessarily reduce future suicidal behavior, as the associations appeared attributable to familial confounding.
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