The use of propensity score methods in psychiatric research

Predictors of psychopathology response in atypical anorexia nervosa following inpatient treatment: A propensity score matching study of weight suppression and weight loss speed

INTRODUCTION

This study examines weight suppression (WS) and weight loss speed (WLS) in atypical anorexia nervosa (AN) and its implications for treatment outcomes, compared to people with AN and bulimia nervosa (BN).

METHOD

A mixed cross-sectional and prospective design was employed, assessing WS and WLS in people with atypical AN, AN, and BN. Participants were matched for age, gender, age of onset, and disorder duration. Clinical measurements and eating disorders questionnaire (EDE-Q) scores were employed to evaluate the response to treatment.

RESULTS

Individuals with atypical individuals exhibited WS patterns similar to AN, distinct from BN. Rapid WLS predicted clinical responses in atypical AN and BN, underscoring its treatment relevance. Atypical AN showed higher eating psychopathology scores than AN or BN, emphasizing the need for a reframed diagnosis.

DISCUSSION

Understanding atypical AN's connection to restrictive behaviors and weight loss informs screening, assessment, and treatment practices. Recognition of atypical AN's severity and adoption of tailored approaches are essential for recovery. This study highlights the significance of WS and WLS in atypical AN treatment outcomes, offering insights into clinical practice and care. The proposal to reframe atypical AN as a restrictive eating disorder emphasizes its clinical relevance.

PUBLIC SIGNIFICANCE STATEMENT

The phenomenon of weight suppression, involving the discrepancy between past highest weight and current weight, has garnered attention due to cultural pressures emphasizing fitness and appearance. This study focuses on its implications in atypical anorexia nervosa, aiming to uncover the relationship between WS, its speed, and treatment outcomes. The investigation contributes insights into tailored interventions for atypical anorexia nervosa and enriches the understanding of this complex disorder's dynamics.

Transgender body image: Weight dissatisfaction, objectification & identity - Complex interplay explored via matched group

In the context of body image and mental health, transgender individuals face distinctive challenges stemming from the complexities of their gender identity journey, societal expectations, and body norms. However, the existing line of research on this topic remains limited. This study explores the complex relationship in transgender individuals between body objectification, body weight dissatisfaction, and eating concerns. A sample of 154 individuals (77 transgenders paired with 77 cisgenders) was recruited via LGBTQ+ groups' mailing lists. Participants completed various questionnaires assessing body image, eating psychopathology, depression, and body objectification. Propensity score matching was performed with different variables: age, current BMI, years of education, current self-identified gender, and sexual orientation. The results revealed that transgender individuals experienced higher levels of body objectification, body weight dissatisfaction, and eating concerns compared to their cisgender counterparts. Additionally, age emerged as a protective factor, as older transgender individuals demonstrated improved body acceptance and self-esteem. Logistic regression analyzes indicated that bulimic behaviors, depressive symptoms, and appearance control beliefs were specific factors significantly associated with being transgender. Our findings highlight the unique challenges faced by transgender individuals in navigating their gender identity and body image, underscoring the importance of targeted interventions and support systems.

Adult criminal outcomes of juvenile justice involvement

BACKGROUND

The juvenile justice system in the USA adjudicates over seven hundred thousand youth in the USA annually with significant behavioral offenses. This study aimed to test the effect of juvenile justice involvement on adult criminal outcomes.

METHODS

Analyses were based on a prospective, population-based study of 1420 children followed up to eight times during childhood (ages 9-16; 6674 observations) about juvenile justice involvement in the late 1990 and early 2000s. Participants were followed up years later to assess adult criminality, using self-report and official records. A propensity score (i.e. inverse probability) weighting approach was used that approximated an experimental design by balancing potentially confounding characteristics between children with v. without juvenile justice involvement.

RESULTS

Between-groups differences on variables that elicit a juvenile justice referral (e.g. violence, property offenses, status offenses, and substance misuse) were attenuated after applying propensity-based inverse probability weights. Participants with a history of juvenile justice involvement were more likely to have later official and violent felony charges, and to self-report police contact and spending time in jail (ORs from 2.5 to 3.3). Residential juvenile justice involvement was associated with the highest risk of both, later official criminal records and self-reported criminality (ORs from 5.1 to 14.5). Sensitivity analyses suggest that our findings are likely robust to potential unobserved confounders.

CONCLUSIONS

Juvenile justice involvement was associated with increased risk of adult criminality, with residential services associated with highest risk. Juvenile justice involvement may catalyze rather than deter from adult offending.

Instrumental variable-based high-dimensional mediation analysis with unmeasured confounders for survival data in the observational epigenetic study

Background: High dimensional mediation analysis is frequently conducted to explore the role of epigenetic modifiers between exposure and health outcome. However, the issue of high dimensional mediation analysis with unmeasured confounders for survival analysis in observational study has not been well solved. Methods: In this study, we proposed an instrumental variable based approach for high dimensional mediation analysis with unmeasured confounders in survival analysis for epigenetic study. We used the Sobel's test, the Joint test, and the Bootstrap method to test the mediation effect. A comprehensive simulation study was conducted to decide the best test strategy. An empirical study based on DNA methylation data of lung cancer patients was conducted to illustrate the performance of the proposed method. Results: Simulation study suggested that the proposed method performed well in the identifying mediating factors. The estimation of the mediation effect by the proposed approach is also reliable with less bias compared with the classical approach. In the empirical study, we identified two DNA methylation signatures including cg21926276 and cg26387355 with a mediation effect of 0.226 (95%CI: 0.108-0.344) and 0.158 (95%CI: 0.065-0.251) between smoking and lung cancer using the proposed approach. Conclusion: The proposed method obtained good performance in simulation and empirical studies, it could be an effective statistical tool for high dimensional mediation analysis.

Coping with the mental health impact of COVID-19: A study protocol for a multinational longitudinal study on coping and resilience during the COVID-19 pandemic

BACKGROUND

Mental health is challenged due to serious life events such as the COVID-19 pandemic and can differ by the level of resilience. National studies on mental health and resilience of individuals and communities during the pandemic provide heterogeneous results and more data on mental health outcomes and resilience trajectories are needed to better understand the impact of the pandemic on mental health in Europe.

METHODS

COPERS (Coping with COVID-19 with Resilience Study) is an observational multinational longitudinal study conducted in eight European countries (Albania, Belgium, Germany, Italy, Lithuania, Romania, Serbia, and Slovenia). Recruitment of participants is based on convenience sampling and data are gathered through an online questionnaire. gathering data on depression, anxiety, stress-related symptoms suicidal ideation and resilience. Resilience is measured with the Brief Resilience Scale and with the Connor-Davidson Resilience Scale. Depression is measured with the Patient Health Questionnaire, Anxiety with the Generalized Anxiety Disorder Scale and stress-related symptoms with the Impact of Event Scale Revised- Suicidal ideation is assessed using item 9 of the PHQ-9. We also consider potential determinants and moderating factors for mental health conditions, including sociodemographic characteristics (e.g., age, gender), social environmental factors (e.g., loneliness, social capital) and coping strategies (e.g., Self-efficacy Belief).

DISCUSSION

To the best of our knowledge, this is the first study to multi-nationally and longitudinally determine mental health outcomes and resilience trajectories in Europe during the COVID-19 pandemic. The results of this study will help to determine mental health conditions during the COVID-19 pandemic across Europe. The findings may benefit pandemic preparedness planning and future evidence-based mental health policies.

Do "Real World" Childhood Mental Health Services Reduce Risk for Adult Psychiatric Disorders?

OBJECTIVE

This study tested the "intervention as prevention" hypothesis: that treatment of childhood psychopathology in the community might reduce risk for adult psychopathology.

METHOD

Analyses were based on a prospective, population-based study of 1,420 children followed up to 8 times during childhood (ages 9-16 years; 6,674 observations) about psychiatric status and specialty mental health services use. Participants were followed up 4 times in adulthood (ages 19, 21, 25, and 30 years; 4,556 observations of 1,336 participants) to assess adult psychopathology.

RESULTS

Participants with a childhood psychiatric disorder who used childhood specialty mental health services were at similar risk for adult emotional (odds ratio [OR] = 0.7; 95% CI = 0.3-1.4, p = .29) disorders and at higher risk for adult substance disorders (OR = 2.1; 95% CI = 1.1-4.2, p = .03) as compared those with a childhood disorder who did not use services. The risk for substance disorders was driven by children with behavioral disorders (OR = 3.6; 95% CI = 1.6-8.1, p = .002). Sensitivity analyses suggest that an unmeasured confounder would have to have an E value of 3.26 or risk ratio of 1.92 to alter this finding. Higher "dose" of services use (defined at 6+ visits) was not associated with improved outcomes.

CONCLUSION

Community services use may reduce psychopathology within childhood, but they do not necessarily prevent adult psychiatric problems. These findings are consistent with the notion of mental health problems as chronic conditions that often begin in childhood but that may recur in different forms across the lifespan even when treated.

Best Practice Guidelines for Propensity Score Methods in Medical Research: Consideration on Theory, Implementation, and Reporting. A Review

Rigorous and reproducible methodology of controlling for bias is essential for high-quality, evidence-based studies. Propensity score matching (PSM) is a valuable way to control for bias and achieve pseudo-randomization in retrospective observation studies. The purpose of this review is to 1) provide a clear conceptual framework for PSM, 2) recommend how to best report its use in studies, and 3) offer some practical examples of implementation. First, this article covers the concepts behind PSM, discusses its pros and cons, and compares it with other methods of controlling for bias, namely, hard/exact matching and regression analysis. Second, recommendations are given for what to report in a manuscript when PSM is used. Finally, a worked example is provided, which can also serve as a template for the reader's own studies. A study's conclusions are only as strong as its methods. PSM is an invaluable tool for producing rigorous and reproducible results in observational studies. The goal of this article is to give practicing clinical physicians not only a better understanding of PSM and its implications but the ability to implement it for their own studies. STUDY DESIGN: Review.

High-Dimensional Mediation Analysis With Confounders in Survival Models

Mediation analysis is a common statistical method for investigating the mechanism of environmental exposures on health outcomes. Previous studies have extended mediation models with a single mediator to high-dimensional mediators selection. It is often assumed that there are no confounders that influence the relations among the exposure, mediator, and outcome. This is not realistic for the observational studies. To accommodate the potential confounders, we propose a concise and efficient high-dimensional mediation analysis procedure using the propensity score for adjustment. Results from simulation studies demonstrate the proposed procedure has good performance in mediator selection and effect estimation compared with methods that ignore all confounders. Of note, as the sample size increases, the performance of variable selection and mediation effect estimation is as well as the results shown in the method which include all confounders as covariates in the mediation model. By applying this procedure to a TCGA lung cancer data set, we find that lung cancer patients who had serious smoking history have increased the risk of death via the methylation markers cg21926276 and cg20707991 with significant hazard ratios of 1.2093 (95% CI: 1.2019-1.2167) and 1.1388 (95% CI: 1.1339-1.1438), respectively.

China Stroke Statistics 2019: A Report From the National Center for Healthcare Quality Management in Neurological Diseases, China National Clinical Research Center for Neurological Diseases, the Chinese Stroke Association, National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention and Institute for Global Neuroscience and Stroke Collaborations

China faces the greatest challenge from stroke in the world. The death rate for cerebrovascular diseases in China was 149.49 per 100 000, accounting for 1.57 million deaths in 2018. It ranked third among the leading causes of death behind malignant tumours and heart disease. The age-standardised prevalence and incidence of stroke in 2013 were 1114.8 per 100 000 population and 246.8 per 100 000 person-years, respectively. According to the Global Burden of Disease Study 2017, the years of life lost (YLLs) per 100 000 population for stroke increased by 14.6%; YLLs due to stroke rose from third highest among all causes in 1990 to the highest in 2017. The absolute numbers and rates per 100 000 population for all-age disability-adjusted life years (DALYs) for stroke increased substantially between 1990 and 2017, and stroke was the leading cause of all-age DALYs in 2017. The main contributors to cerebrovascular diseases include behavioural risk factors (smoking and alcohol use) and pre-existing conditions (hypertension, diabetes mellitus, dyslipidaemia and atrial fibrillation (AF)). The most prevalent risk factors among stroke survivors were hypertension (63.0%-84.2%) and smoking (31.7%-47.6%). The least prevalent was AF (2.7%-7.4%). The prevalences for major risk factors for stroke are high and most have increased over time. Based on the latest national epidemiological data, 26.6% of adults aged ≥15 years (307.6 million adults) smoked tobacco products. For those aged ≥18 years, age-adjusted prevalence of hypertension was 25.2%; adjusted prevalence of hypercholesterolaemia was 5.8%; and the standardised prevalence of diabetes was 10.9%. For those aged ≥40 years, the standardised prevalence of AF was 2.31%. Data from the Hospital Quality Monitoring System showed that 3 010 204 inpatients with stroke were admitted to 1853 tertiary care hospitals during 2018. Of those, 2 466 785 (81.9%) were ischaemic strokes (ISs); 447 609 (14.9%) were intracerebral haemorrhages (ICHs); and 95 810 (3.2%) were subarachnoid haemorrhages (SAHs). The average age of patients admitted was 66 years old, and nearly 60% were male. A total of 1555 (0.1%), 2774 (0.6%) and 1347 (1.4%) paediatric strokes (age <18 years) were identified among IS, ICH and SAH, respectively. Over one-third (1 063 892 (35.3%)) of the patients were covered by urban resident basic medical insurance, followed by urban employee basic medical insurance (699 513 (23.2%)) and new rural cooperative medical schema (489 361 (16.3%)). The leading risk factor was hypertension (67.4% for IS, 77.2% for ICH and 49.1% for SAH), and the leading comorbidity was pneumonia or pulmonary infection (10.1% for IS, 31.4% for ICH and 25.2% for SAH). In-hospital death/discharge against medical advice rate was 8.3% for stroke inpatients, ranging from 5.8% for IS to 19.5% for ICH. The median and IQR of length of stay was 10.0 (7.0-14.0) days, ranging from 10.0 (7.0-13.0) in IS to 14.0 (8.0-22.0) in SAH. Data from the Chinese Stroke Center Alliance demonstrated that the composite scores of guideline-recommended key performance indicators for patients with IS, ICH and SAH were 0.77±0.21, 0.72±0.28 and 0.59±0.32, respectively.

ROLE OF FIRST-YEAR MATERNAL EMPLOYMENT AND PATERNAL INVOLVEMENT IN BEHAVIORAL AND COGNITIVE DEVELOPMENT OF YOUNG CHILDREN

Drawing on economic models of child development and attachment relationship perspectives, this study examined the effect of maternal employment in the first year after childbirth on subsequent behavioral and cognitive development in low-income children. Analyses of data from the Project on Human Development in Chicago Neighborhoods (N = 411) revealed that despite the accompanying family income gains, maternal employment in the first year after childbirth adversely affected caregiver-reported internalizing and externalizing behavior problems of Hispanic, Black, and White children at ages 3 and 5 years. This study also examined how paternal participation in childcare might affect children's outcomes. Results indicate that greater paternal participation eased the adverse impacts of maternal employment on internalizing behavior problems. There was no evidence that maternal employment was associated with children's memory cognitive functioning or that paternal involvement moderated children's cognitive development. These findings suggest that when early intervention programs are designed to assist low-income families, enhancing supports (e.g., paternal involvement or parental leave) for working mothers during their child's first year may be valuable for young children's healthy development.

The First Partnership Experience and Personality Development

Personality development in young adulthood has been associated with the experience of a number of new social roles. However, the causal interpretation of these findings is complicated by the fact that it is not possible to randomize young adults by their life experiences. To address this problem in the context of the first partnership experience, we applied propensity score matching to a sample of initially inexperienced singles and followed them across 4 years. Using matched samples, results indicated that the first partnership experience relatively robust increased life satisfaction. The first partnership experience between the ages of 23 and 25 (but not in other ages) was also related to higher self-esteem, extraversion, and conscientiousness and to lower neuroticism. The discussion highlights the effect of the first partnership on the development of a mature personality and the potential for propensity score matching to make useful contributions to social and personality research.

Methodological comments: McFarlane et al

Does the McFarlane et al study provide a model for practical trials? Unfortunately, not. The methodological problems are here reviewed and used as a springboard to set out methodological criteria that might define such a model.

Drawing causal inferences using propensity scores: a practical guide for community psychologists

Confounding present in observational data impede community psychologists' ability to draw causal inferences. This paper describes propensity score methods as a conceptually straightforward approach to drawing causal inferences from observational data. A step-by-step demonstration of three propensity score methods-weighting, matching, and subclassification-is presented in the context of an empirical examination of the causal effect of preschool experiences (Head Start vs. parental care) on reading development in kindergarten. Although the unadjusted population estimate indicated that children with parental care had substantially higher reading scores than children who attended Head Start, all propensity score adjustments reduce the size of this overall causal effect by more than half. The causal effect was also defined and estimated among children who attended Head Start. Results provide no evidence for improved reading if those children had instead received parental care. We carefully define different causal effects and discuss their respective policy implications, summarize advantages and limitations of each propensity score method, and provide SAS and R syntax so that community psychologists may conduct causal inference in their own research.

Longitudinal relationship between depressive symptoms and work outcomes in clinically treated patients with long-term sickness absence related to major depressive disorder

BACKGROUND

Major depressive disorder (MDD) negatively affects a wide range of work outcomes (absenteeism, work productivity, work limitations). However, the exact longitudinal relationship between depressive symptoms and work outcomes in MDD patients with long-term sickness absence is still unclear. Therefore, the present study aimed to examine the temporal and directional relationship between depressive symptoms and various work outcomes in these patients.

METHODS

Patients (n = 117) were diagnosed with MDD according to DSM-IV criteria, had a median duration of MDD-related sickness absence of 4.8 months (IQR = 2.6-10.1 months) at baseline, and were referred by occupational physicians. All patients received outpatient treatment for their MDD. Depressive symptoms and work outcomes were examined during baseline, and 6-, 12- and 18-month follow-ups.

RESULTS

Within-subject changes in the severity of depressive symptoms were significantly related to within-subject changes in all work outcomes (all scales: p < 0.001). Earlier reduction in depressive symptoms predicted subsequent improvements in all work outcomes (all scales: p < 0.05). Conversely, only earlier improvement in Time Management (p = 0.007) and Mental/Interpersonal (p < 0.001) work limitations predicted a subsequent reduction in depressive symptoms.

LIMITATIONS

All work outcomes were assessed through self-report. Work limitations at the start of absenteeism were retrospectively assessed.

CONCLUSIONS

Symptom reduction remains crucial for improving adverse work outcomes in MDD patients with long-term sickness absence. In addition, a treatment focus on qualitative functioning in the workplace may accelerate depression recovery.

Estimating Causal Effects in Mediation Analysis using Propensity Scores

Mediation is usually assessed by a regression-based or structural equation modeling (SEM) approach that we will refer to as the classical approach. This approach relies on the assumption that there are no confounders that influence both the mediator, M, and the outcome, Y. This assumption holds if individuals are randomly assigned to levels of M but generally random assignment is not possible. We propose the use of propensity scores to help remove the selection bias that may result when individuals are not randomly assigned to levels of M. The propensity score is the probability that an individual receives a particular level of M. Results from a simulation study are presented to demonstrate this approach, referred to as Classical + Propensity Model (C+PM), confirming that the population parameters are recovered and that selection bias is successfully dealt with. Comparisons are made to the classical approach that does not include propensity scores. Propensity scores were estimated by a logistic regression model. If all confounders are included in the propensity model, then the C+PM is unbiased. If some, but not all, of the confounders are included in the propensity model, then the C+PM estimates are biased although not as severely as the classical approach (i.e. no propensity model is included).

Structure and diagnosis of adult attention-deficit/hyperactivity disorder: analysis of expanded symptom criteria from the Adult ADHD Clinical Diagnostic Scale

CONTEXT

Controversy exists about the appropriate criteria for a diagnosis of adult attention-deficit/hyperactivity disorder (ADHD).

OBJECTIVE

To examine the structure and symptoms most predictive of DSM-IV adult ADHD.

DESIGN

The data are from clinical interviews in enriched subsamples of the National Comorbidity Survey Replication (n = 131) and a survey of a large managed health care plan (n = 214). The physician-administered Adult ADHD Clinical Diagnostic Scale (ACDS) was used to assess childhood ADHD and expanded symptoms of current adult ADHD. Analyses examined the stability of symptoms from childhood to adulthood, the structure of adult ADHD, and the adult symptoms most predictive of current clinical diagnoses.

SETTING

The ACDS was administered telephonically by clinical research interviewers with extensive experience in the diagnosis and treatment of adult ADHD.

PARTICIPANTS

An enriched sample of community respondents.

MAIN OUTCOME MEASURE

Diagnoses of DSM-IV /ACDS adult ADHD.

RESULTS

Almost half of the respondents (45.7%) who had childhood ADHD continued to meet the full DSM-IV criteria for current adult ADHD, with 94.9% of these patients having current attention-deficit disorder and 34.6% having current hyperactivity disorder. Adult persistence was much greater for inattention than for hyperactivity/impulsivity. Additional respondents met the full criteria for current adult ADHD despite not having met the full childhood criteria. A 3-factor structure of adult symptoms included executive functioning (EF), inattention/hyperactivity, and impulsivity. Stepwise logistic regression found EF problems to be the most consistent and discriminating predictors of adult DSM-IV /ACDS ADHD.

CONCLUSIONS

These findings document the greater persistence of inattentive than of hyperactive/impulsive childhood symptoms of ADHD in adulthood but also show that inattention is not specific to ADHD because it is strongly associated with other adult mental disorders. In comparison, EF problems are more specific and consistently important predictors of DSM-IV adult ADHD despite not being in the DSM-IV, suggesting that the number of EF symptoms should be increased in the DSM-V/ICD-11.

Effectiveness of adjuvant occupational therapy in employees with depression: design of a randomized controlled trial

Background

Major depressive disorder is among the medical conditions with the highest negative impact on work outcome. However, little is known regarding evidence-based interventions targeting the improvement of work outcomes in depressed employees. In this paper, the design of a randomized controlled trial is presented in order to evaluate the effectiveness of adjuvant occupational therapy in employees with depression. This occupational intervention is based on an earlier intervention, which was designed and proven effective by our research group, and is the only intervention to date that specifically targets work outcome in depressed employees.

Methods/Design

In a two-arm randomized controlled trial, a total of 117 participants are randomized to either 'care as usual' or ' care as usual' with the addition of occupational therapy. Patients included in the study are employees who are absent from work due to depression for at least 25% of their contract hours, and who have a possibility of returning to their own or a new job. The occupational intervention consists of six individual sessions, eight group sessions and a work-place visit over a 16-week period. By increasing exposure to the working environment, and by stimulating communication between employer and employee, the occupational intervention aims to enhance self-efficacy and the acquisition of more adaptive coping strategies. Assessments take place at baseline, and at 6, 12, and 18-month follow-ups. Primary outcome measure is work participation (hours of absenteeism and time until work resumption). Secondary outcome measures are work functioning, symptomatology, health-related quality of life, and neurocognitive functioning. In addition, cost-effectiveness is evaluated from a societal perspective. Finally, mechanisms of change (intermediate outcomes) and potential patient-treatment matching variables are investigated.

Discussion

This study hopes to provide valuable knowledge regarding an intervention to treat depression, one of the most common and debilitating diseases of our time. If our intervention is proven (cost-) effective, the personal, economic, and health benefits for both patients and employers are far-reaching.

Trial registration number

NTR2057