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11.
  • Andersson, Anneli, 1992-, et al. (author)
  • Depression and anxiety disorders during the postpartum period in women diagnosed with attention deficit hyperactivity disorder
  • 2023
  • In: Journal of Affective Disorders. - : Elsevier BV. - 0165-0327 .- 1573-2517. ; 325, s. 817-823
  • Journal article (peer-reviewed)abstract
    • Background: Attention deficit hyperactivity disorder (ADHD) is associated with an increased risk of poor mental health. However, the understanding of ADHD-related burden and impairments in women during the postpartum period is limited. The aim with the present study was to examine the risk of depression and anxiety disorders during the postpartum period among women with and without an ADHD diagnosis.Methods: We used register-based data to identify women who gave birth to their first and/or second child between 2005 and 2013 in Sweden (n = 773,047), of which 0.5 % (n = 3515) had a diagnosis of ADHD prior to pregnancy. Diagnoses of depression and anxiety disorders up to one year after delivery were collected from the national patient register.Results: A total of 16.76 % of the women with an ADHD diagnosis were also diagnosed with depression disorders in the postpartum period, prevalence ratio (PR) 5.09 (95 % confidence interval (CI), 4.68-5.54). A total of 24.92 % of the women with an ADHD diagnosis were also diagnosed with anxiety disorders in the postpartum period, PR 5.41 (5.06-5.78). Stratified results revealed that having a diagnosis of ADHD increased the risk for both depression and anxiety disorders postpartum, beyond other well-known risk factors.Limitations: There is a potential risk of surveillance bias as women diagnosed with ADHD are more likely to have repeated visits to psychiatric care and might have an enhanced likelihood of also being diagnosed with depression and anxiety disorders postpartum, compared to women without ADHD.Conclusions: ADHD is an important risk factor for both depression and anxiety disorders postpartum. Therefore, ADHD needs to be considered in the maternal care, regardless of sociodemographic factors and the presence of other psychiatric disorders.
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12.
  • Bränn, Emma, et al. (author)
  • Bidirectional association between autoimmune disease and perinatal depression : a nationwide study with sibling comparison
  • 2024
  • In: Molecular Psychiatry. - : Springer Nature. - 1359-4184 .- 1476-5578. ; 29:3, s. 602-610
  • Journal article (peer-reviewed)abstract
    • Although major depression, characterized by a pro-inflammatory profile, genetically overlap with autoimmune disease (AD) and the perinatal period involve immune system adaptations and AD symptom alterations, the bidirectional link between perinatal depression (PND) and AD is largely unexplored. Hence, the objective of this study was to investigate the bidirectional association between PND and AD. Using nationwide Swedish population and health registers, we conducted a nested case-control study and a matched cohort study. From 1,347,901 pregnancies during 2001-2013, we included 55,299 incident PND, their unaffected full sisters, and 10 unaffected matched women per PND case. We identified 41 subtypes of AD diagnoses recorded in the registers and compared PND with unaffected population-matched women and full sisters, using multivariable regressions. Women with an AD had a 30% higher risk of subsequent PND (95% CI 1.2-1.5) and women exposed to PND had a 30% higher risk of a subsequent AD (95% CI 1.3-1.4). Comparable associations were found when comparing exposed women with their unaffected sisters (nested case-control OR: 1.3, 95% CI 1.2-1.5, matched cohort HR: 1.3, 95% CI 1.1-1.6), and when studying antepartum and postpartum depression. The bidirectional association was more pronounced among women without psychiatric comorbidities (nested case-control OR: 1.5, 95% CI 1.4-1.6, matched cohort HR: 1.4, 95% CI 1.4-1.5) and strongest for multiple sclerosis (nested case-control OR: 2.0, 95% CI 1.6-2.3, matched cohort HR: 1.8, 95% CI 1.0-3.1). These findings demonstrate a bidirectional association between AD and PND independent of psychiatric comorbidities, suggesting possibly shared biological mechanisms. If future translational science confirms the underlying mechanisms, healthcare providers need to be aware of the increased risk of PND among women with ADs and vice versa.
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13.
  • Chang, Zheng, et al. (author)
  • Medication for Attention-Deficit/Hyperactivity Disorder and Risk for Suicide Attempts
  • 2020
  • In: Biological Psychiatry. - : Elsevier. - 0006-3223 .- 1873-2402. ; 88:6, s. 452-458
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Attention-deficit/hyperactivity disorder (ADHD) is a risk factor for suicidal behavior, but the effect of ADHD medication on suicidal behavior remains unclear. This study aimed to examine the associations between medication treatment for ADHD and risk of suicide attempts.METHODS: We identified a large cohort of patients with ADHD (N = 3,874,728, 47.8% female patients) using data from commercial health care claims from 2005 to 2014 in the United States. We used population-level and within-individual analyses to compare risk of suicide attempts during months when individuals received prescribed stimulant or nonstimulant medication relative to months when they did not receive medication.RESULTS: In both population-level and within-individual analyses, ADHD medication was associated with lower odds of suicide attempts (odds ratio [OR], 0.69; 95% confidence interval [CI], 0.66-0.73; and OR, 0.61; 95% CI, 0.57-0.66, respectively). Similar reductions were found in children to middle-aged adults and in clinically relevant subgroups, including patients with ADHD with preexisting depression or substance use disorder. The reduction was mainly seen for stimulant medication (OR, 0.72; 95% CI, 0.66-0.77); nonstimulant medication was not associated with statistically significant changes in risk of suicide attempts (OR, 0.94; 95% CI, 0.74-1.19). Sensitivity analyses assessing the influence of different exposure definitions, different outcome definitions, subsets of the cohort, and different analytic approaches provided comparable results.CONCLUSIONS: Stimulant medication was associated with a reduced risk of suicide attempts in patients with ADHD, and nonstimulant medication is unlikely to increase the risk of suicide attempts.
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14.
  • Chen, Cen, et al. (author)
  • 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
  • 2024
  • In: American Journal of Psychiatry. - : HighWire Press. - 0002-953X .- 1535-7228.
  • Journal article (peer-reviewed)abstract
    • OBJECTIVE: 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 to psychopathology or confounded by unmeasured familial factors. The authors investigated the association between psychiatric conditions in young adulthood and the risk of cardiometabolic complications in middle adulthood, up to 40 years later.METHODS: This cohort study (N=672,823) identified all individuals and their siblings born in Sweden between 1955 and 1962 and followed the cohort through 2013. Logistic regression models were used to estimate the bivariate associations between 10 psychiatric conditions or criminal convictions and five cardiometabolic complications in individuals. A general factor model was used to identify general, internalizing, externalizing, and psychotic factors based on the comorbidity among psychiatric conditions and criminal convictions. The cardiometabolic complications were then regressed 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 condition significantly increased the risk of cardiometabolic complications. These associations appeared nonspecific, as multivariate models indicated that most 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. The same pattern was evident for the specific internalizing and psychotic factors.CONCLUSIONS: Associations between mental disorders in early life and later long-term risk of cardiometabolic complications appeared to be attributable to a general liability to psychopathology. Familial coaggregation analyses suggested that the elevated risk could not be attributed to confounders shared within families. One possibility is that lifestyle-based interventions may reduce the risk of later cardiometabolic complications for patients with several mental disorders.
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15.
  • Chen, Qi, et al. (author)
  • Predicting suicide attempt or suicide death following a visit to psychiatric specialty care : A machine learning study using Swedish national registry data
  • 2020
  • In: PLoS Medicine. - San Francisco : Public Library of Science (PLoS). - 1549-1277 .- 1549-1676. ; 17:11
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Suicide is a major public health concern globally. Accurately predicting suicidal behavior remains challenging. This study aimed to use machine learning approaches to examine the potential of the Swedish national registry data for prediction of suicidal behavior.METHODS AND FINDINGS: The study sample consisted of 541,300 inpatient and outpatient visits by 126,205 Sweden-born patients (54% female and 46% male) aged 18 to 39 (mean age at the visit: 27.3) years to psychiatric specialty care in Sweden between January 1, 2011 and December 31, 2012. The most common psychiatric diagnoses at the visit were anxiety disorders (20.0%), major depressive disorder (16.9%), and substance use disorders (13.6%). A total of 425 candidate predictors covering demographic characteristics, socioeconomic status (SES), electronic medical records, criminality, as well as family history of disease and crime were extracted from the Swedish registry data. The sample was randomly split into an 80% training set containing 433,024 visits and a 20% test set containing 108,276 visits. Models were trained separately for suicide attempt/death within 90 and 30 days following a visit using multiple machine learning algorithms. Model discrimination and calibration were both evaluated. Among all eligible visits, 3.5% (18,682) were followed by a suicide attempt/death within 90 days and 1.7% (9,099) within 30 days. The final models were based on ensemble learning that combined predictions from elastic net penalized logistic regression, random forest, gradient boosting, and a neural network. The area under the receiver operating characteristic (ROC) curves (AUCs) on the test set were 0.88 (95% confidence interval [CI] = 0.87-0.89) and 0.89 (95% CI = 0.88-0.90) for the outcome within 90 days and 30 days, respectively, both being significantly better than chance (i.e., AUC = 0.50) (p < 0.01). Sensitivity, specificity, and predictive values were reported at different risk thresholds. A limitation of our study is that our models have not yet been externally validated, and thus, the generalizability of the models to other populations remains unknown.CONCLUSIONS: By combining the ensemble method of multiple machine learning algorithms and high-quality data solely from the Swedish registers, we developed prognostic models to predict short-term suicide attempt/death with good discrimination and calibration. Whether novel predictors can improve predictive performance requires further investigation.
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16.
  • Chen, Yufeng, et al. (author)
  • Incidence Trajectories of Psychiatric Disorders After Assault, Injury, and Bereavement
  • 2024
  • In: JAMA psychiatry. - : American Medical Association (AMA). - 2168-6238 .- 2168-622X. ; 81:4, s. 374-385
  • Journal article (peer-reviewed)abstract
    • IMPORTANCE: Traumatic events have been associated with elevated risks of psychiatric disorders, while the contributions of familial factors to these associations remain less clear.OBJECTIVE: To determine the contribution of familial factors to long-term incidence trajectories of psychiatric disorders following potentially traumatic events.DESIGN, SETTING, AND PARTICIPANTS: This cohort study evaluated 3 separate cohorts of individuals residing in Sweden who were free of previous diagnosed psychiatric disorders when first exposed to assault (n = 49 957), injury (n = 555 314), or bereavement (n = 321 263) from January 1987 to December 2013, together with their unexposed full siblings, and 10 age-, sex-, and birthplace-matched unexposed individuals (per exposed individual). Cohorts were created from the Swedish Total Population Register linked to health and population registers. Data were analyzed from March 2022 to April 2023.EXPOSURES: Potentially traumatic events, including various types of assault, injuries, and bereavement (death of a child or of a spouse or partner), were ascertained from the Swedish national registers.MAIN OUTCOMES AND MEASURES: Incident psychiatric disorders were ascertained from the Swedish Patient Register. Flexible parametric and Cox models were used to estimate associations of potentially traumatic events with incident psychiatric disorders after multivariable adjustment.RESULTS: The median (IQR) age at exposure to assault, injury, and bereavement was 22 (18-31), 19 (8-40), and 60 (51-68) years, respectively. During a median (IQR) follow-up of 4.9 (2.2-8.2), 9.1 (4.1-15.6), and 8.1 (3.4-14.8) years, the incidence rates of any psychiatric disorder were 38.1, 13.9, and 9.0 per 1000 person-years for the exposed groups of the 3 cohorts, respectively. Elevated risk of any psychiatric disorder was observed during the first year after exposure to any assault (hazard ratio [HR], 4.55; 95% CI, 4.34-4.77), injury (HR, 3.31; 95% CI,3.23-3.38), or bereavement (HR, 2.81; 95% CI, 2.72-2.91) and thereafter (assault HR, 2.50; 95% CI, 2.43-2.56; injury HR, 1.69; 95% CI, 1.68-1.70; bereavement HR, 1.42; 95% CI, 1.40-1.44). Comparable associations were obtained in sibling comparison (first year: assault HR, 3.70; 95% CI, 3.37-4.05; injury HR, 2.98; 95% CI, 2.85-3.12; bereavement HR, 2.72; 95% CI, 2.54-2.91; thereafter: assault HR, 1.93; 95% CI, 1.84-2.02; injury HR, 1.51; 95% CI, 1.48-1.53; bereavement HR, 1.35; 95% CI, 1.31-1.38). The risk elevation varied somewhat by type of traumatic events and psychiatric disorders, with the greatest HR noted for posttraumatic stress disorder after sexual assault (sibling comparison HR, 4.52; 95% CI, 3.56-5.73 during entire follow-up period).CONCLUSIONS AND RELEVANCE: In this study, the long-term risk elevation of psychiatric disorders after potentially traumatic events was largely independent of familial factors. The risk elevation observed immediately after these events motivates early clinical surveillance and mental health services for these vulnerable populations.
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17.
  • Du Rietz, Ebba, et al. (author)
  • Mapping phenotypic and aetiological associations between ADHD and physical conditions in adulthood in Sweden : a genetically informed register study
  • 2021
  • In: Lancet psychiatry. - : Elsevier. - 2215-0374 .- 2215-0366. ; 8:9, s. 774-783
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Emerging evidence suggests increased risk of several physical health conditions in people with ADHD. Only a few physical conditions have been thoroughly studied in relation to ADHD, and there is little knowledge on associations in older adults in particular. We aimed to investigate the phenotypic and aetiological associations between ADHD and a wide range of physical health conditions across adulthood.METHODS: We did a register study in Sweden and identified full-sibling and maternal half-sibling pairs born between Jan 1, 1932, and Dec 31, 1995, through the Population and Multi-Generation Registers. We excluded individuals who died or emigrated before Jan 1, 2005, and included full-siblings who were not twins and did not have half-siblings. ICD diagnoses were obtained from the National Patient Register. We extracted ICD diagnoses for physical conditions, when participants were aged 18 years or older, from inpatient (recorded 1973-2013) and outpatient (recorded 2001-13) services. Diagnoses were regarded as lifetime presence or absence. Logistic regression models were used to estimate the associations between ADHD (exposure) and 35 physical conditions (outcomes) in individuals and across sibling pairs. Quantitative genetic modelling was used to estimate the extent to which genetic and environmental factors accounted for the associations with ADHD.FINDINGS: 4 789 799 individuals were identified (2 449 146 [51%] men and 2 340 653 [49%] women), who formed 4 288 451 unique sibling pairs (3 819 207 full-sibling pairs and 469 244 maternal half-sibling pairs) and 1 841 303 family clusters (siblings, parents, cousins, spouses). The mean age at end of follow-up was 47 years (range 18-81; mean birth year 1966); ethnicity data were not available. Adults with ADHD had increased risk for most physical conditions (34 [97%] of 35) compared with adults without ADHD; the strongest associations were with nervous system disorders (eg, sleep disorders, epilepsy, dementia; odds ratios [ORs] 1·50-4·62) and respiratory diseases (eg, asthma, chronic obstructive pulmonary disease; ORs 2·42-3·24). Sex-stratified analyses showed similar patterns of results in men and women. Stronger cross-disorder associations were found between full-siblings than between half-siblings for nervous system, respiratory, musculoskeletal, and metabolic diseases (p<0·007). Quantitative genetic modelling showed that these associations were largely explained by shared genetic factors (60-69% of correlations), except for associations with nervous system disorders, which were mainly explained by non-shared environmental factors.INTERPRETATION: This mapping of aetiological sources of cross-disorder overlap can guide future research aiming to identify specific mechanisms contributing to risk of physical conditions in people with ADHD, which could ultimately inform preventive and lifestyle intervention efforts. Our findings highlight the importance of assessing the presence of physical conditions in patients with ADHD.FUNDING: Swedish Research Council; Swedish Brain Foundation; Swedish Research Council for Health, Working Life, and Welfare; Stockholm County Council; StratNeuro; EU Horizon 2020 research and innovation programme; National Institute of Mental Health.
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18.
  • Du Rietz, Ebba, et al. (author)
  • Trajectories of healthcare utilization and costs of psychiatric and somatic multimorbidity in adults with childhood ADHD : a prospective register-based study
  • 2020
  • In: Journal of Child Psychology and Psychiatry. - : Blackwell Publishing. - 0021-9630 .- 1469-7610. ; 61:9, s. 959-968
  • Journal article (peer-reviewed)abstract
    • Background: A better understanding of the trajectories and economic burden of psychiatric and somatic disorders (multimorbidity) in ADHD from childhood to adulthood is important for guiding more targeted areas for treatment of ADHD and prevention of multimorbidity, and for forecasting demands on the medical infrastructure. This study aimed to investigate patterns of healthcare utilization and costs of multimorbidity across young adulthood in individuals with a childhood ADHD diagnosis, and additionally in individuals who continue to have ADHD-related contact with health services (persisters) and those who do not (remitters).Methods: We prospectively followed a cohort (N = 445,790) born 1987-1990 from the ages of 18 to 26 years. Data on healthcare utilization were obtained from the Swedish National Patient Register (inpatient and outpatient care) and the Prescribed Drug Register (medication prescriptions).Results: Mean annual costs per capita from multimorbidity was euro890 ($1,223) in individuals with a childhood ADHD diagnosis (persisters/remitters: euro1,060[$1,456]/euro609[$837]) and euro304 ($418) in individuals without. Costs were largely driven by inpatient hospital admissions, mainly from drug abuse and injuries. Healthcare utilization and costs of psychiatric and somatic disorders at 18 years was significantly higher in individuals with childhood ADHD compared to those without. These group differences remained stable or increased across young adulthood for most outcomes and were generally larger in women than in men. ADHD remitters continued to show significantly greater healthcare utilization and costs compared to individuals without childhood ADHD, although their profiles were not as severe as ADHD persisters.Conclusions: Childhood ADHD has long-term associations with both psychiatric and somatic disorders. Findings demonstrate the individual and societal burden of ADHD in adulthood and highlight the importance of continued support from childhood-adolescent to adult health services and early prevention of multimorbidity. Findings also point to specific targets for intervention that may be effective, such as drug abuse and injuries.
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19.
  • Fazel, Seena, et al. (author)
  • Risk of death by suicide following self-harm presentations to healthcare : development and validation of a multivariable clinical prediction rule (OxSATS)
  • 2023
  • In: BMJ Mental Health. - : BMJ Publishing Group Ltd. - 2755-9734. ; 26:1
  • Journal article (peer-reviewed)abstract
    • BACKGROUND: Assessment of suicide risk in individuals who have self-harmed is common in emergency departments, but is often based on tools developed for other purposes. OBJECTIVE: We developed and validated a predictive model for suicide following self-harm.METHODS: We used data from Swedish population-based registers. A cohort of 53 172 individuals aged 10+ years, with healthcare episodes of self-harm, was split into development (37 523 individuals, of whom 391 died from suicide within 12 months) and validation (15 649 individuals, 178 suicides within 12 months) samples. We fitted a multivariable accelerated failure time model for the association between risk factors and time to suicide. The final model contains 11 factors: age, sex, and variables related to substance misuse, mental health and treatment, and history of self-harm. Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis guidelines were followed for the design and reporting of this work.FINDINGS: An 11-item risk model to predict suicide was developed using sociodemographic and clinical risk factors, and showed good discrimination (c-index 0.77, 95% CI 0.75 to 0.78) and calibration in external validation. For risk of suicide within 12 months, using a 1% cut-off, sensitivity was 82% (75% to 87%) and specificity was 54% (53% to 55%). A web-based risk calculator is available (Oxford Suicide Assessment Tool for Self-harm or OxSATS).CONCLUSIONS: OxSATS accurately predicts 12-month risk of suicide. Further validations and linkage to effective interventions are required to examine clinical utility.CLINICAL IMPLICATIONS: Using a clinical prediction score may assist clinical decision-making and resource allocation.
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20.
  • Fernández de la Cruz, Lorena, et al. (author)
  • All cause and cause specific mortality in obsessive-compulsive disorder : nationwide matched cohort and sibling cohort study
  • 2024
  • In: BMJ (Clinical Research Edition). - : BMJ Publishing Group Ltd. - 0959-8138 .- 1756-1833. ; 384
  • Journal article (peer-reviewed)abstract
    • OBJECTIVE: To estimate the risk of all cause and cause specific mortality in people with obsessive-compulsive disorder (OCD) compared with matched unaffected people from the general population and with their unaffected siblings. DESIGN: Population based matched cohort and sibling cohort study. SETTING: Register linkage in Sweden.PARTICIPANTS: Population based cohort including 61 378 people with OCD and 613 780 unaffected people matched (1:10) on sex, birth year, and county of residence; sibling cohort consisting of 34 085 people with OCD and 47 874 unaffected full siblings. Cohorts were followed up for a median time of 8.1 years during the period from 1 January 1973 to 31 December 2020. MAIN OUTCOME MEASURES: All cause and cause specific mortality.RESULTS: 4787 people with OCD and 30 619 unaffected people died during the study period (crude mortality rate 8.1 and 5.1 per 1000 person years, respectively). In stratified Cox proportional hazards models adjusted for birth year, sex, county, migrant status (born in Sweden versus abroad), and sociodemographic variables (latest recorded education, civil status, and family income), people with OCD had an increased risk of all cause mortality (hazard ratio 1.82, 95% confidence interval 1.76 to 1.89) and mortality due to natural causes (1.31, 1.27 to 1.37) and unnatural causes (3.30, 3.05 to 3.57). Among the natural causes of death, those due to endocrine, nutritional, and metabolic diseases, mental and behavioural disorders, and diseases of the nervous, circulatory, respiratory, digestive, and genitourinary systems were higher in the OCD cohort. Conversely, the risk of death due to neoplasms was lower in the OCD cohort compared with the unaffected cohort. Among the unnatural causes, suicide showed the highest hazard ratio, followed by accidents. The results were robust to adjustment for psychiatric comorbidities and familial confounding.CONCLUSIONS: Non-communicable diseases and external causes of death, including suicides and accidents, were major contributors to the risk of mortality in people with OCD. Better surveillance, prevention, and early intervention strategies should be implemented to reduce the risk of fatal outcomes in people with OCD.
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