Research reportThe prognostic role of perceived criticism, medication adherence and family knowledge in bipolar disorders
Introduction
Even with optimal pharmacological treatment, about 50% of individuals with bipolar disorders (BD) experience a relapse in the year after an index episode (e.g. Gitlin et al., 1995, Scott et al., 2006). This suggests that individual psychosocial and environmental variables may also be important risk factors for relapse (Reinares et al., 2006, Scott, 1995, Scott and Colom, 2005, Vieta and Colom, 2004). In schizophrenia, high levels of ‘critical comments’ within a family are associated with early relapse, especially if the patient is poorly adherent with medication (Vaughan and Leff, 1976). Furthermore, family ‘emotional environment’ may be influenced by their knowledge about schizophrenia and its treatment (Sellwood et al., 2003).
Research has highlighted how individual beliefs and expectations about BD and its treatment can directly influence the likelihood of medication adherence, which will modify relapse risk (Scott and Pope, 2002a, Clatworthy et al., 2009). The beliefs and attributions of a patient's family may also impact on the patient's adherence with medication and relapse rates (Tacchi and Scott, 2005, Velligan et al., 2009). Perlick et al., 2001, Perlick et al., 2004 showed that the family's beliefs and coping level significantly predicted family burden and that burden predicted the outcome of BD at follow-up. Furthermore, this effect was mediated by the affective response in the family and patient levels of medication adherence. However, research on emotional environment in BD and its relationship to BD medication adherence is less well developed than in schizophrenia or unipolar disorders (Butzlaff and Hooley, 1998).
In unipolar disorders, expressed emotion and a related construct, perceived criticism, are robust predictors of depressive relapse (Hayhurst et al., 1997, Hooley and Licht, 1997, Hooley and Teasdale, 1989). In BD, Yan et al. (2004) demonstrated that negative emotional environment was especially predictive of depressive relapses in 47 individuals with BD I. Other studies have demonstrated an association between negative affective style and a poor response to lithium prophylaxis or admission (O'Connell et al., 1991, Preib et al., 1989, Honig et al., 1997). Simoneau et al. (1998) showed that BD families with more ‘toxic’ emotional environments had more negative interpersonal interactions, whilst Tompson et al. (2000) noted that high expressed emotion families were less likely to engage in family therapy. Miklowitz et al. (2009) highlight that familial expressed emotion moderates the effects of family therapy for adolescents with BD. However, only one small study (n=17) has specifically explored the interaction between affective style, emotional environment, medication adherence and relapse rates in a homogenous clinical sample of BD cases (Miklowitz et al., 1988). The study showed that negative affective style and high expressed emotion predicted poor outcome, especially in non-adherent cases.
We have previously explored the relationship between likelihood of medication adherence and patient attitudes to both BD and BD treatment (Colom et al., 2005a, Colom et al., 2005b, Scott and Pope, 2002b, Tacchi and Scott, 2005, Clatworthy et al., 2009). We believe that it is now important to clarify in a clinical BD cohort (a) the correlations among medication adherence, family knowledge about BD and emotional environment (as assessed by patient ratings of perceived criticism) and (b) the association of each of these variables with the adverse outcome of psychiatric admission during the next 12 months.
Section snippets
Sample
We received ethical approval from the Joint Hospital and University ethics committee of Newcastle upon Tyne to interview individuals with BD and, where appropriate, their nominated significant other. As described previously (Scott and Pope, 2002a, Scott and Pope, 2002b, ) potential recruits to the cohort were identified from a list of cases with a probable diagnosis of mood disorder participating in clinical plasma monitoring of mood stabilizers. Between 1998 and 2003, patient records were
Sample characteristics
As shown in Table 1, the mean age of the 81 subjects was 42.2 years (SD 11.3), 46 (57%) were female, and 30 (37%) were in full or part-time employment. Twenty one (26%) individuals were living alone and three (3.7%) were living in supported housing; the other 57 individuals were living with a significant other (usually their partner or another close family member). The mean age at onset of BD was 25.4 years (SD 10.1) and the mean duration of illness was 16.2 years (SD 10.6); 43% had experienced
Discussion
This study demonstrates three important aspects of psychosocial research in BD. First, there is a significant relationship among family knowledge about BD and its treatment, the patient's perception of the quality of their emotional environment as measured by perceived criticism (PC) and their medication adherence. Second, as in schizophrenia, these inter-related factors are predictive of future BD outcome as measured by hospitalization rates in the year after assessment. As these psychosocial
Role of funding source
Jan Scott´s research programme on medication adherence and psychosocial predictors of outcome in bipolar disorders was supported by a grant from the Stanley Foundation. The authors also thank the Spanish Ministry of Health, Institute de Salud Carlos III, RETICS RD06/0011 (REM-TAP Network).
Conflict of interest
Professor Scott and Vieta and Dr Colom have given CME talks or been members of advisory boards for Astra Zeneca, BMS-Otsuka, Eli Lilly, GSK, Janssen-Cilag, Lundbeck, Servier and Sanofi-Aventis. Jan Scott has received unrestricted educational grants from Astra Zeneca for work on psychosocial aspects of bipolar disorders. The authors have no known conflicts of interest.
Acknowledgements
Jan Scott and Eduard Vieta are members of ENBREC (European Network of Bipolar Research and Expert Centres) which was supported by an FP7 grant and now by the ECNP ENI initiative.
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