Elsevier

Journal of Affective Disorders

Volume 219, September 2017, Pages 133-140
Journal of Affective Disorders

Research paper
Social and academic premorbid adjustment domains predict different functional outcomes among youth with first episode mania

https://doi.org/10.1016/j.jad.2017.05.030Get rights and content

Highlights

  • Childhood and adolescent adjustment predicted functioning, but not illness severity in the short to medium term after onset.

  • Social adjustment predicted later interpersonal functioning while academic adjustment predicted vocational functioning.

  • Premorbid adjustment may help identify subgroups that may benefit from different interventions.

Abstract

Background

Premorbid characteristics may help predict the highly variable functional and illness outcomes of young people with early stage Bipolar Disorder (BD). We sought to examine the relationships between premorbid adjustment and short to medium-term outcomes after a first treated episode of mania.

Methods

We examined the baseline and 18-month follow-up characteristics of 117 participants with first episode of mania, treated at two tertiary early intervention services in Melbourne, Australia. The baseline demographic, family history, diagnoses, comorbidity and clinical features were determined using unstructured questionnaires and structured diagnostic interviews. Premorbid adjustment was determined using the Premorbid Adjustment Scale (PAS), the components of which were identified using a principal component analysis. Eighteen-month follow-up outcome measures included the Clinical Global Impressions scale, Social and Occupational Functioning Assessment Scale and the Heinrichs’ Quality of Life Scale (QLS). Correlations and linear regressions were utilised to examine the relationships between component scores and outcomes, while controlling for baseline and follow-up confounders.

Results

The social adjustment component of the PAS correlated with the interpersonal relations (rs = −0.46, p<0.001) domain of QLS while the academic adjustment component of the PAS correlated with the vocational functioning domain of QLS (rs =−0.39, p = 0.004). Premorbid adjustment did not predict illness severity or objective functioning.

Limitations

Lack of information on cognition, personality factors and prodromal symptoms limited the assessment of their impact on outcomes.

Conclusions

Impairments in domains of premorbid adjustment may be early markers of persistent difficulties in social and vocational functioning and may benefit from targeted interventions.

Introduction

Bipolar Disorder (BD) is an important contributor to disability and loss of quality of life (QoL), particularly among youth (Gore et al., 2011, Whiteford et al., 2013). This may be at least partly related to the peak onset of this disorder among young people with a potential disruption of their developmental trajectories. Despite high quality care, young people with manic episodes can have variable functional and symptomatic outcomes (Gignac et al., 2015). While a significant proportion of those with first episode mania achieve syndromic and symptomatic recovery, only a minority return to their previous level of functioning (Conus et al., 2006b). Several factors may determine functional and illness outcomes among persons with BD. With respect to vocational or employment outcomes, systematic reviews and meta-analyses (Gilbert and Marwaha, 2013, Tse et al., 2014) have consistently identified predictors including cognitive functioning, depressive symptoms, years of education, and personality factors. The quality of social or interpersonal functioning has similar predictors including depressive symptoms (Pope et al., 2007, Sheets and Miller, 2010), neuroticism (Pope et al., 2007), episode severity (Siegel et al., 2015), and neurocognitive functioning (Depp et al., 2010).

Pre-onset characteristics may also determine outcomes among persons with BD; however, research on these factors is scant. Prodromal approaches attempt to characterise persons based on their premorbid symptoms (Howes et al., 2010). Examining other pre-onset domains such as premorbid social, academic and socio-sexual adjustment may be helpful to explore the subgroups with prognostic implications and where therapeutic interventions may be better targeted. Premorbid adjustment, most commonly measured using the Premorbid Adjustment Scale (PAS (Cannon-Spoor et al., 1982)) has often been noted to be better among persons with BD compared to those with schizophrenia (Cannon et al., 1997, Conus et al., 2010, Tarbox et al., 2012, Uzelac et al., 2006). One cross-sectional study even identified greater premorbid adjustment among participants with BD compared with healthy population based controls (Rietschel et al., 2009). Similarly, a normal or superior social and academic achievement was identified among those with adolescent onset BD I (Kutcher et al., 1998). Patterns of changes in premorbid adjustment may also have diagnostic specificity. In a study comparing those with schizophrenia and BD with controls, a decline in overall premorbid adjustment scores over the developmental epochs was evident only for those with schizophrenia (Paya et al., 2013). Within the domains of premorbid adjustment, academic decline may be more common than a decline in social functioning among persons with BD prior to onset of mania (Paya et al., 2013). Additionally, in another study, academic maladjustment differentiated those with BD compared with those with schizophrenia (Cannon et al., 1997), while social premorbid maladjustment did not. Thus, in all, premorbid adjustment may be a unique marker of developmental processes that separate persons with BD from those with other psychotic disorders, as well as healthy controls. Additionally, domains of premorbid adjustment may represent a simple and reliably measured marker that could delineate subgroups within persons with BD with different functional and illness outcomes.

Premorbid adjustment has been identified to be a significant predictor of overall functioning among youth and adults with BD (Gade et al., 2015, Tabares-Seisdedos et al., 2008). Similarly, among persons with BD, premorbid adjustment was associated with comorbid substance use disorders, rapid cycling and suicidality (Goldberg and Ernst, 2004). A recent report from a large cohort of participants with first episode psychotic disorders that included those with BD identified a significant continuity between premorbid social adjustment and 20-year post-onset social functioning (Velthorst et al., 2016). However, one previous study did not identify a relationship between premorbid adjustment and occupational outcomes among persons with BD (Schoeyen et al., 2013). In this latter study, the assessment of premorbid adjustment occurred later in the illness course, when there may be greater recall bias. Premorbid adjustment measured soon after the first episode of mania, particularly among young adults, is less likely to be affected by difficulties with recall. There is also a dearth of information regarding the association between specific domains of premorbid adjustment and that of post-illness functioning among persons with mania.

The aim of the current study was therefore to examine the impact of premorbid adjustment on functioning and illness severity in the short to medium term after intervention for a first episode of mania. We hypothesised that domains of premorbid adjustment will predict short-medium term functioning and severity of illness or overall symptoms. Additionally, we aimed to explore the relationship between premorbid adjustment and illness characteristics, family history, comorbidity and risks.

Section snippets

Setting

Participants were recruited from two early intervention services in Melbourne, Australia; the Early Psychosis Prevention and Intervention Centre (EPPIC) and the Recovery and Prevention of Psychosis Service (RAPPS). These services provide care for similar participants with their first affective or non-affective psychotic episode for up to 2 years, using psychosocial and pharmacological interventions within a multi-disciplinary, case management model. Due to similarities in service delivery, as

Analysis

Baseline characteristics of the included participants were described. Independent factors within PAS items in the first three developmental epochs were examined using a Principal Component Analysis (PCA) with Varimax rotation (Jolliffe, 1986). Kaiser–Meyer–Olkin measure (KMO) and Bartlett's test of sphericity were utilised to examine the adequacy of sampling and the correlation between the individual variables. Factors with Eigenvalues greater than 1 were utilised to create the groups of

Results

Of the 117 included participants, 29% were female and their mean age was 21.4 (SD=2.7) years. Their baseline diagnosis was that of a manic episode associated with BD among 95 participants and schizoaffective disorder for 15 participants. Three participants had a substance induced manic episode and four participants had information missing from SCID to document a diagnosis. The mean duration from the onset of their manic episode till follow-up was 19.7±2.8 months (range: 16.7–34.2 months).

Among

Discussion

Among a cohort of youth with first episode mania, premorbid social adjustment significantly predicted short to medium term interpersonal functioning while premorbid academic adjustment correlated with vocational functioning. Contrary to our hypotheses, premorbid adjustment was not associated with illness severity on follow-up. The relationship between premorbid adjustment and interpersonal or instrumental role functioning remained significant after controlling for depressive symptom severity on

Conclusions

Premorbid social and academic adjustment may predict their subjective assessment of interpersonal functioning and vocational role fulfilment among young people with first episode psychotic mania in the short to medium term. Identifying those with difficulties in these premorbid functioning domains earlier in care may help target social and vocational domains. Future intervention studies should examine the impact of interventions for these domains stratifying for those with different premorbid

Author disclosure and conflicts of interest

This study was supported by two investigator-initiated trial grants from Eli Lilly Australia and Astra Zeneca. However, the companies had no influence on the study design and was not involved in any way in data collection, data analysis and interpretation of the results. R.D. and M.H. worked on a study that has received research support by Astra Zeneca. M.B. has received grant/research support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria,

Contributors

The current study was conceptualized by AR, PC, SC, MB and CD. MB, PM, SC, and PC were involved in the design and development of the randomized controlled intervention trials which form the basis for this study. MH, CM, RD were active contributors to data collection and synthesis. AR and SC contributed to data analysis. AR prepared the first draft of the manuscript. All contributors provided input into the editing of the drafts and the development of the final draft.

Role of funding source

This study was supported by two investigator-initiated trial grants from Eli Lilly Australia and Astra Zeneca. However, the companies had no influence on the study design and was not involved in any way in data collection, data analysis and interpretation of the results. R.D. and M.H. worked on a study that has received research support by Astra Zeneca.

Conflicts of interest

M.B. has received grant/research support from the NIH, Cooperative Research Centre, Simons Autism Foundation, Cancer Council of Victoria, Stanley Medical Research Foundation, MBF, NHMRC, Beyond Blue, Rotary Health, Geelong Medical Research Foundation, Bristol Myers Squibb, Eli Lilly, Glaxo SmithKline, Meat and Livestock Board, Organon, Novartis, Mayne Pharma, Servier and Woolworths, has been a speaker for Astra Zeneca, Bristol Myers Squibb, Eli Lilly, Glaxo SmithKline, Janssen-Cilag, Lundbeck,

Acknowledgements

CD is supported by a National Health & Medical Research Council (NHMRC) Career Development Fellowship (1061757). MB is supported by a NHMRC Senior Principal Research Fellowship (1059660).

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