Does the number of previous mood episodes moderate the relationship between alcohol use, smoking and mood in bipolar outpatients?

BACKGROUND

Evidence suggests that alcohol use and smoking are negatively associated with mood in bipolar disorders (BD). It is unknown if this relationship is moderated by the number of previous mood episodes. Therefore, this paper aims to examine whether the number of previous mood episodes moderates the relationship between alcohol use and smoking, and mood.

METHOD

This study assessed the outcomes of 108 outpatients with BD I and II in a prospective observational cohort study. For 1 year, subjects daily registered mood symptoms and substance use with the prospective Life Chart Method. The relationship between the average daily consumption of alcohol and tobacco units in the whole year and mood were examined by multiple linear regression analyses. Number of previous mood episodes, grouped into its quartiles, was added as effect moderator. Outcome was the number of depressive, hypomanic and manic days in that year.

RESULTS

The number of depressive days in a year increased by 4% (adjusted β per unit tobacco = 1.040; 95% CI 1.003-1.079; p = 0.033) per unit increase in average daily tobacco consumption in that same year. Interaction analyses showed that in those subjects with less than 7 previous mood episodes, the number of manic and hypomanic days increased by 100.3% per unit increase in alcohol consumption (adjusted β per unit alcohol = 2.003; 95% CI 1.225-3.274; p = 0.006). In those with 7 to 13 previous mood episodes, the number of manic and hypomanic days decreased by 28.7% per unit increase in alcohol consumption (adjusted β per unit alcohol = 0.713; 95% CI 0.539-0.944; p = 0.019); and in subjects with 14 to 44 previous mood episodes, the number of manic and hypomanic days decreased by 7.2% per unit increase in tobacco consumption (adjusted β per unit tobacco = 0.928; 95% CI 0.871-0.989; p = 0.021).

CONCLUSIONS

The number of previous mood episodes moderates the relationship between alcohol use and smoking and mood; and smoking is adversely associated with the number of depressive days.

Data quality indicators for daily life chart methodology: prospective self-ratings of bipolar disorder and alcohol use

Background

Self-rating instruments which require a large number of repeated assessments over time are increasingly popular in psychiatry. They are well suited to describing variations in mental states, especially in order to investigate effects of behaviour and events on functioning and mood. For bipolar disorder, the self-rating instrument ‘NIMH daily life chart’ was developed to assess the course of the illness. This instrument has been validated in the customary ways, yet information about data quality (e.g. completeness, consistency, construct validity, reactivity) was lacking. The goal of this study was to develop several data quality indicators computed from data, in order to be able to detect respondents that provide less valid or reliable data.

Methods

During approximately 1 year on average, 137 patients with DSM-IV diagnosed bipolar disorder rated their mood, functioning and number of alcohol units consumed on a daily basis. Three kinds of quality indicators were developed: (1) compliance (i.e. completeness of recording on a daily basis), (2) the association between conceptually related variables—construct validity—and (3) reactivity: any changes in alcohol-drinking behaviour due to the assessments themselves. Relations were measured with Spearman’s rho.

Results

A relation was found between data quality and illness severity: respondents with lower data quality, according to our operationalisations, were more strongly affected by the illness, as expressed in the number of ill days, than respondents with higher data quality.

Conclusion

The more affected patients are by the illness, the lower the data quality to be expected in life chart reports.

Effect of alcohol use on the course of bipolar disorder: one-year follow-up study using the daily prospective Life Chart method

OBJECTIVES

Relatively little is known about the temporal relationship between alcohol use and subsequent mood changes in patients with bipolar disorder, and the available findings are inconsistent. The present study was a fine-grained analysis of the temporal relationship between alcohol use and short-term mood-switching probabilities.

METHODS

The study included 137 patients with bipolar disorder who performed daily self-ratings of their mood symptoms and the number of alcohol units consumed for a period of up to 52 weeks by using the National Institute of Mental Health self-rated prospective Life Chart Method. At baseline, the Structured Clinical Interview for DSM-IV was administered and demographic, social, and clinical characteristics were obtained. Multi-state models were used to assess the impact of the number of alcoholic drinks on patients' transition through different states of mood (depression, euthymia, and mania).

RESULTS

The effect of alcohol use on the change in mood states was limited. For women in a depressive state, higher alcohol use was associated with a shorter time before entering the euthymic state [hazard ratio (HR) = 1.18, 95% confidence interval (CI): 1.03-1.36, p < 0.05], whereas, for men in an euthymic state, higher alcohol use was associated with a longer time before entering a manic state (HR = 0.81, 95% CI: 0.71-0.92, p < 0.05). The correlation between the consumed number of drinks per week and the average mood severity score of the following week was -0.01 (p < 0.001), indicating that only 0.01% of the variance in mood severity in this population is explained by alcohol use. Possible explanations for these findings are discussed.

CONCLUSIONS

The current study, using a fine-grained analysis, suggests that alcohol use does not have a direct effect on the course of bipolar disorder in patients using mood stabilizers.

Screening for bipolar disorders in patients with alcohol or substance use disorders: performance of the mood disorder questionnaire

BACKGROUND

Screening properties of the mood disorder questionnaire (MDQ) to detect bipolar disorder (BD) in patients with substance use disorders are unknown.

METHODS

403 treatment seeking patients with a substance use disorder completed the MDQ and subsequently 111 MDQ positives and 59 MDQ negatives were assessed with the Structured Clinical Interview for DSM-IV to diagnose BD. In addition, given the overlap with BD symptoms, the presence of borderline personality disorder (BPD), antisocial personality disorder (APD) and attention deficit/hyperactivity disorder (ADHD), were assessed using the Diagnostic Interview Schedule and the Structured Interview for DSM-IV Personality.

RESULTS

Of the 170 patients with a SCID interview, 35 patients (20.6%) met criteria for a lifetime diagnosis of BD. Twenty-three patients (62.8%) with BD had a positive MDQ score and 47 of the 135 patients (34.8%) without BD had a negative MDQ score resulting in a weighted sensitivity of .43, a weighted specificity of .57, a positive predictive value of .21, a negative predictive value (NPV) of .80 and an area under the curve of .50. The area under the curve of the MDQ to detect BPD, APD, ADHD and any externalizing disorder ranged from .55 (APD) to .63 (ADHD).

CONCLUSIONS

The MDQ is not a suitable screening instrument for the detection of BD or other externalizing disorders but it could be used for ruling out the presence of BD in treatment seeking substance use disorder patients.