Antidepressant Use During Pregnancy and Childhood Autism Spectrum Disorders

BackgroundBoth the use of antidepressant medication during pregnancy and the prevalence of autism spectrum disorder have increased during recent years. A causal link has recently been suggested, but the association may be confounded by the underlying indication for antidepressant use. We investigated the association between maternal use of antidepressant medication in pregnancy and autism, controlling for potential confounding factors.MethodsWe identified all children born alive in Denmark 1996–2006 (n=668,468) and their parents in the Danish Civil Registration System. We obtained information on the mother’s prescriptions filled during pregnancy from the Danish National Prescription Registry, and on diagnoses of autism spectrum disorders in the children and diagnoses of psychiatric disorders in the parents from the Danish Psychiatric Central Register. In a cohort analysis, we estimated hazard ratios of autism spectrum disorders in children exposed to antidepressant medication during pregnancy compared with children who were not exposed, using Cox proportional hazards regression analysis. Furthermore, we estimated the risk for autism spectrum disorder in a sibling design.ResultsChildren exposed prenatally to antidepressants had an adjusted hazard ratio of 1.5 (95% confidence interval [CI] 1.2–1.9) for autism spectrum disorder compared with unexposed children. Restricting the analysis to children of women with a diagnosis of affective disorder, the adjusted hazard ratio was 1.2 (95% CI 0.7–2.1), and the risk was further reduced when exposed children were compared with their unexposed siblings (adjusted hazard ratio 1.1; 95% CI 0.5–2.3).ConclusionAfter controlling for important confounding factors, there was no significant association between prenatal exposure to antidepressant medication and autism spectrum disorders in the offspring.

This study investigated whether the trend of increasing rates of antidepressant use in the 1990s continued into 2000-2004. Antidepressant treatment rates were examined by age group and by the class of antidepressant in order to identify whether any observed trends were being driven by a particular age group of patients or class of medication. Secondary analysis was performed on data from the 2000-2004 Medical Panel Expenditure Surveys, a nationally representative survey of U.S. households, to examine trends in antidepressant use by age group and medication class in the total sample (N=166,435). Trends in the rates of antidepressant use among individuals with self-reported depression (N=10,959) and self-reported anxiety disorders without comorbid depression (N=6,899) were also examined. Antidepressant use increased among all Americans, from 6.6% in 2000 to 8.1% in 2004 (p<.001). Rates of antidepressant use by individuals with anxiety disorders without comorbid depression increased from 30.8% in 2000 to 39.0% in 2002, before declining to 33.2% in 2004. However, antidepressant use decreased among individuals with self-reported depression, from 63.1% in 2000 to 56.7% in 2004 (p<.001). This downward trend in antidepressant use was largely driven by a decrease in use of selective serotonin reuptake inhibitors, especially among children and middle-aged adults with depression. Rates of adequate antidepressant treatment (defined as receiving at least four antidepressant prescriptions at the minimum adequate daily dosage) peaked in 2002 (36.9%), and there was a significant decline by 2004 (31.7%) (p=.003). After years of increased use of antidepressant therapy to treat depression, a trend reversal in the beginning of the 21st century was observed, including decreasing rates of adequate antidepressant treatment. This downward trend preceded the black-box warnings included on antidepressant labels beginning in 2004.

Comparison of Self-Reported and Physician-Reported Antidepressant Medication Use

Anti-depressant medication use and C-reactive protein: Results from two population-based studies

The use of SSRIs in children and adolescents

Animal and human studies have suggested that antidepressant medications may be associated with several cancers. The authors evaluated the association between antidepressant medication use and the risk of non-Hodgkin's lymphoma using a Canadian population-based case-control study, the National Enhanced Cancer Surveillance Study. Non-Hodgkin's lymphoma cases (n=638) diagnosed in 1995-1996 were identified using the Ontario Cancer Registry, and controls (n=1,930) were identified from the Ontario Ministry of Finance Property Assessment Database. Antidepressant medication use was ascertained using a self-administered questionnaire. Multivariate logistic regression was used to estimate odds ratios. "Ever" use of antidepressant medications was not associated with non-Hodgkin's lymphoma risk. The odds ratio for non-Hodgkin's lymphoma with 25 or more months of tricyclic antidepressant medication use was 1.6; however, this was nonsignificant. Duration or history of use or individual types of antidepressant medications were not associated with non-Hodgkin's lymphoma risk. These findings do not support an increased risk of non-Hodgkin's lymphoma with antidepressant medication use.

On Depression, Antidepressant Medications, and Resuscitation Preferences in COPD Patients

Diabetes may be associated with depression and antidepressant medication (ADM) use, but published findings remain equivocal. The authors' aimed to determine the risk of diabetes incidence associated with baseline depression exposures (symptoms and/or ADM use). A prospective cohort study was conducted in a regionally representative sample of non-institutionalised older Australian people (N = 1000, aged 65 + year), who were followed up biennially between 1994 and 2004 (attrition was approximately 24%). Analyses excluded participants for prevalent diabetes at baseline, determined by self-report or specific medications. Diabetes incidence was ascertained by first self-report at any follow-up wave. Depression exposures (baseline predictors) were defined by the Psychogeriatric Assessment Scales (PAS) depression scale and ADM use, and classified as: (1) 'symptomatic' (PAS score 5+); (2) 'ADM use'; (3) 'symptomatic or ADM use'; (4) 'symptomatic and no ADM use'; (5) 'asymptomatic (PAS score <5) and ADM use' and (6) 'symptomatic and ADM use'. Covariates were demographic, lifestyle, functional health and chronic disease factors. Cox regressions were used to determined hazard ratios with 95% confidence intervals (HR [95% CI]) for diabetes incidence according to depression exposures, adjusted for significant covariates. Baseline response rate was 70.3%. Depression predictors of diabetes incidence were 'symptomatic' (2.29 [1.28,4.10]), 'symptomatic or ADM use' (2.13 [1.32,3.44]) and 'symptomatic and no ADM use' (2.38 [1.28,4.45]), after adjustment for significant covariates. Being asymptomatic was not a protective factor among those prescribed antidepressants. Older people with depressive symptoms are at least twice more likely to develop diabetes than those without depressive symptoms, regardless of antidepressants.

Experimental and epidemiologic studies suggest that antidepressant medication use may be associated with breast cancer risk. This hypothesis was investigated using a population-based case-control study; cases diagnosed in 1995-1996 were identified using the Ontario Cancer Registry, and controls were randomly sampled from an Ontario Ministry of Finance database. Data were collected using a self-administered questionnaire, and multivariate logistic regression was used to estimate odds ratios and 95% confidence intervals. Adjusted odds ratio estimates ranged from 0.7 to 0.8 and were not statistically significant for "ever" use of antidepressants, tricyclics, and selective serotonin reuptake inhibitors. Compared with no antidepressant use, use of tricyclic antidepressants for greater than 2 years' duration was associated with an elevated risk of breast cancer (odds ratio (OR) = 2.1, 95% confidence interval (CI): 0.9, 5.0). Of the six most commonly reported antidepressant medications, only paroxetine use was associated with an increase in breast cancer risk (OR = 7.2, 95% CI: 0.9, 58.3). Results from this study do not support the hypothesis that "ever" use of any antidepressant medications is associated with breast cancer risk. Use of tricyclic medications for greater than 2 years, however, may be associated with a twofold elevation, and use of paroxetine may be associated with a substantial increase in breast cancer risk.

Introduction: Children and adolescents with autism spectrum disorder (ASD) appear to be at greater risk of excess weight gain. The aim of this systematic review and meta-analysis was to examine whether children with ASD have a greater prevalence of obesity and whether the prevalence of ASD is higher in children with obesity. Methods: We conducted a systematic search on PubMed, Scopus, and PsychINFO until May 21, 2021. We used the meta package in the R in order to calculate the pooled prevalence and relative risk of obesity in children with ASD. Results: We found 20 eligible studies investigating the prevalence of obesity in children with ASD, with the prevalence ranging from 7.9 to 31.8% and from 1.4 to 23.6% among controls. All but three studies originated from the USA. The proportion of children with obesity in ASD populations was 17% (95% confidence interval [CI]: 13–22). The relative risk of obesity in children with ASD compared with control children was 1.58 (95% CI: 1.34–1.86). There were no controlled studies reporting on the prevalence of ASD in children with obesity. Conclusion: Children and adolescents with ASD have a higher prevalence of obesity than healthy controls. There is a need for further prevalence studies of obesity in children with ASD, especially outside the USA, since the few European studies carried out have failed to show a significant difference between obesity prevalence in children with and without ASD. There is no knowledge at all regarding the prevalence of ASD among children with obesity.

It has been hypothesized that antidepressants may enhance cancer growth. Previous studies of antidepressant use and ovarian cancer have been inconsistent and have been limited in their ability to examine the association with selective serotonin reuptake inhibitors (SSRIs), which are currently the antidepressants most commonly prescribed. The objective of this paper was to evaluate whether women with ovarian cancer were more likely to report past use of antidepressants than control women. Antidepressant use was assessed in a population-based, case-control study of ovarian cancer (593 cases, 628 controls). Unconditional logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) associated with antidepressant use overall and by subcategories of antidepressants. Antidepressant use was reported by 18% of cases and 20% of controls. No increased risk was observed for ever use of any type of antidepressant (OR 0.9, 95% CI 0.7-1.2) or for SSRIs (OR 1.0, 95% CI 0.7-1.5). There also was no evidence of increased risk with longer duration of use. Our study had greater than 80% power to detect an OR as small as 1.5. Thus, even a modest increase in risk associated with antidepressant use can be excluded with these data. Our study adds to the growing body of evidence suggesting that antidepressants do not have a significant effect on ovarian cancer risk. In particular, the data suggest that SSRIs, which are the most commonly used class of antidepressants, are not associated with an increased risk for ovarian cancer. II-2.

Guideline-Consistent Antidepressant Treatment Patterns Among Veterans With Diabetes and Major Depressive Disorder

Background: Antidepressant medication use has dramatically increased over the past decade, particularly for the newer classes such as selective serotonin reuptake inhibitors. While there is no question about the usefulness of these medications, it is important to review animal and epidemiologic studies that have evaluated the association between antidepressant medication use and the risk of breast cancer. Methods: This paper reviews the scientific literature pertaining to the prevalence of and indications for antidepressant medication use, and the possible association between antidepressant medication use and breast cancer risk. Results: Antidepressant medications are most commonly indicated for depressive disorders, and are also used for other conditions (e.g., anxiety disorders, personality disorders, and pain). In addition, antidepressants may be an effective alternative to estrogen therapy for the alleviation of hot flashes among peri-/postmenopausal women. Several epidemiologic studies have reported that certain antidepressants may be associated with a slightly increased breast cancer risk; however, the literature remains inconsistent. Conclusions: The possibility of an association between certain antidepressant medications and breast cancer risk has not been excluded, although further studies are needed before the body of scientific evidence can be conclusive. Evidence to date does not support a change in the current use of antidepressant medications.

BackgroundStudies using data from Western countries have raised concerns that treating pregnant women with antidepressants may increase the risk of autism spectrum disorders (ASDs) in their offspring. However, to date, the studies are inconclusive. We therefore examined the association between antidepressant use and ASD using claims data collected in Japan.MethodsThis retrospective cohort study was based on claims data from mothers and their children from January 2005 to July 2014, obtained from the Japan Medical Data Center. The information from mothers and children was linked using the family identification code. Information on antidepressant prescriptions during pregnancy was extracted from the database. To collect information on ASD, children for whom data were available 24 months or more after birth were followed up from birth through July 2014 or up until their withdrawal from the database. To ensure appropriate diagnosis of ASD, mother-child pairs where the children’s data did not cover the 24 months after birth or pairs where children had a diagnosis of ASD within only 23 months after birth were excluded from the study cohort. We used logistic regression analyses to evaluate the association between antidepressant use during pregnancy and the children’s ASD diagnosis. All statistical analyses were performed using IBM SPSS (Statistical Package for the Social Sciences) Statistics ver. 21.0.ResultsOf the 53,864 eligible mother-child pairs, 26,925 met the study criteria. Crude analysis showed that the ASD prevalence in children was significantly higher with any antidepressant use than with non-use (odds ratio [OR], 2.32; 95% confidence interval [CI], 1.08, 4.95). However, when the analysis was adjusted for the confounding effect of maternal depression during pregnancy, statistical significance was lost (OR, 0.76; CI, 0.27, 2.18).ConclusionsAfter adjustment for confounders, we found no significant association between antidepressant use during pregnancy and ASD in children in Japan. This result provides additional evidence to support the idea that antidepressant use during pregnancy itself is not associated with an increase in ASD in children. In addition, this represents the first evidence based on Asian data.

Factors Associated With Depressive Symptoms and Use of Antidepressant Medications Among Participants in the Chronic Renal Insufficiency Cohort (CRIC) and Hispanic-CRIC Studies