Research report
Differences in psychomotor activity in patients suffering from unipolar and bipolar affective disorder in the remitted or mild/moderate depressive state

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Abstract

Background

Abnormalities in psychomotor activity are a central and essential feature of affective disorder. Studies measuring differences in psychomotor activity between unipolar and bipolar disorder show divergent results and none have used a combined heart rate and movement monitor for measuring activity during free-living conditions.

Objective

To compare objectively measured psychomotor activity in patients with unipolar and bipolar disorder in a remitted or mild/moderate depressive state. Further, both groups were compared to a healthy control group.

Methods

A cross-sectional study of outpatients suffering from unipolar (n = 20) and bipolar (n = 18) disorder and healthy controls (n = 31), aged 18–60 years. For three consecutive days a combined acceleration (m/s2) and heart rate (beats per minute) monitoring was used in conjunction with a step test to estimate activity energy expenditure (J/min/kg) as measures of psychomotor activity and physical fitness.

Results

Overall score on Hamilton-17 items ranged between 0 and 22. Patients had higher sleeping heart rate (p < 0.001), lower fitness (p = 0.02), lower acceleration (p = 0.004), and lower activity energy expenditure (p = 0.004) compared to controls. Comparing unipolar and bipolar patients and adjusting for differences in Hamilton-17 revealed lower acceleration (p = 0.01) and activity energy expenditure in bipolar patients (p = 0.02); the difference was most prominent in the morning.

Conclusions

Electronic monitoring of psychomotor activity may be a promising additional tool in the distinction between unipolar and bipolar affective disorder when patients present in a remitted or depressive state.

Introduction

Since the introduction of the dichotomy of unipolar and bipolar disorder by Perris (1966) it has been debated whether unipolar and bipolar affective disorders are categorically distinct diseases or dynamic diseases within a continuum (Benazzi, 2005, Holsboer, 2005). It is of crucial importance to be able to discriminate unipolar disorder from bipolar disorder in clinical practice, as pharmacological and psychological treatments as well as course of illness and outcome differ between the two disorders (Kessing, 1999, Kessing et al., 1998, Kessing et al., 2004). When patients present in a remitted or depressive state it may be difficult for clinicians to reveal whether they suffer from a unipolar disorder or from a bipolar disorder. Patients may not recall or may even deny prior hypomanic or manic episodes and clinicians may not be sufficiently observant on the prior course of illness. In this way, the diagnosis of bipolar disorder may be overlooked. Questionnaires such as the Hypomania Checklist (Angst et al., 2005, Bech et al., 2011) and rating scales such as the Bipolar Depression Rating Scale (Berk et al., 2007) have been developed to help clinicians to identify prior hypomanic episodes and even to differentiate bipolar depression from unipolar depression. Nevertheless, such measures based on the patient's subjective experience are influenced by depressive recall bias or other recall distortions (Moffitt et al., 2010). Consequently, it would be helpful for clinicians to add an objective measure that can help to discriminate between the two disorders based on the current state of illness.

Abnormalities in psychomotor activity are a central and essential feature of affective disorder and have been addressed in a number of studies (Beigel and Murphy, 1971, Kuhs and Reschke, 1992, Kupfer et al., 1974, Sobin and Sackeim, 1997). Psychomotor activity consists of multiple domains such as gross motor activity, body movements, speech and motor response time (Sobin and Sackeim, 1997). Most studies in psychomotor activity are based on clinical assessments or questionnaires showing divergent results (Blackburn, 1975, Dunner et al., 1976, Perris, 1966, Popescu et al., 1991, Salvatore et al., 2008). Similarly, physical activity questionnaires generally have a poor validity due to recall bias (Wareham et al., 2002). A few older studies have objectively measured the level of activity in patients suffering from affective disorder using wrist-worn accelerometers; all of them including only few patients and showing inconclusive results (Foster and Kupfer, 1975, Kuhs and Reschke, 1992, Kupfer et al., 1974, Popescu et al., 1991, Wolff et al., 1985). Studies using objective measures of activity included only hospitalised patients, but measuring psychomotor activity during hospitalisation would not give an indication of the habitual level of physical activity during free-living, and it cannot be compared to a healthy control group living under other circumstances.

The reference method for measuring energy expenditure during free-living circumstances is the doubly labelled water technique (Speakman, 1998). However, this method cannot quantify subcomponents of activity patterns such as hourly variation of movement, intensity etc. No study in unipolar and bipolar patients so far has combined accelerometry with a heart rate measurement (Kuhs and Reschke, 1992, Kupfer et al., 1974), a method which has been suggested to offer greater measurement precision (Brage et al., 2004).

Furthermore, psychomotor activity may be correlated with other mood symptoms (Sobin and Sackeim, 1997), but studies comparing psychomotor activity in unipolar and bipolar patients have not adjusted the analyses for differences in mood symptoms, e.g. a score based on the Hamilton Depression Scale. More specifically, results from some studies suggest that bipolar depression is more likely to manifest with psychomotor retardation and other atypical symptoms compared to unipolar depression (Beigel and Murphy, 1971, Kupfer et al., 1974, Mitchell et al., 2008, Nelson and Charney, 1980). Additionally, patients suffering from unipolar affective disorder with psychomotor inhibition are reported to be at increased risk of a later bipolar course (Akiskal et al., 1983). Concordantly, although the evidence is poor, reviews suggest that psychomotor retardation is more prevalent in bipolar patients (Goodwin and Jamison, 1996, Mitchell et al., 2008) and psychomotor retardation in bipolar disorder patients has been suggested as a signature symptom (Mitchell and Malhi, 2004).

The objectives of this study were to assess the psychomotor activity using combined heart rate and movement monitoring over three days in patients suffering from unipolar disorder and patients suffering from bipolar disorder in a remitted or mild/moderate depressive state and to assess differences between these patients. Further, both groups were compared to a healthy control group.

Section snippets

Study participants

Patients were recruited from The Copenhagen Affective Disorder Clinic at the Psychiatric Centre Copenhagen, Rigshospitalet, Copenhagen University Hospital, which is a specialised outpatient clinic. Detailed information on prior affective episodes with specific focus on prior hypomanic and manic episodes was collected from the referring and prior physicians and from case files and was combined with information from the patient and relatives. Specialists in psychiatry with specific expertise

Results

Background characteristics of unipolar and bipolar patients and controls are shown in Table 1. Except for age, no differences in sex, height, weight and BMI were seen between the groups. The prevalence of psychotropic treatment in patients with bipolar vs. unipolar disorder was antidepressants 38.9% vs. 85% (p = 0.006), antipsychotics 55.6% vs. 15% (p = 0.016), anticonvulsants 16.7% vs. 5% (p = 0.33), and lithium 38.9% vs. 10% (p = 0.06). Only one patient suffering from unipolar disorder got a

Discussion

To our knowledge this is the first study to assess the level of psychomotor activity using combined heart rate and movement sensoring in psychiatric patients suffering from affective disorder.

Our results showed that patients with affective disorder had substantially higher sleeping heart rate and lower fitness, acceleration and activity energy expenditure than controls. Further, patients suffering from bipolar disorder had a lower level of acceleration and activity energy expenditure per day

Conclusion

In a remitted or mild/moderate depressive state, bipolar disorder is associated with a substantially lower activity level, compared to unipolar disorder. If this difference between groups is replicated in further studies, monitoring of free-living movement may be a promising tool in the diagnosis and distinction between unipolar disorder and bipolar disorder in the remitted to depressive state.

Role of funding source

None.

Conflict of interest

None.

Acknowledgement

The authors would like to thank all the health staff and study participants involved in the study.

References (47)

  • H.S. Akiskal et al.

    Bipolar outcome in the course of depressive illness. Phenomenologic, familial, and pharmacologic predictors

    Journal of Affective Disorders

    (1983)
  • J. Angst et al.

    The HCL-32: towards a self-assessment tool for hypomanic symptoms in outpatients

    Journal of Affective Disorders

    (2005)
  • F.K. Assah et al.

    Urbanization, physical activity, and metabolic health in sub-Saharan Africa

    Diabetes Care

    (2011)
  • F.K. Assah et al.

    Accuracy and validity of a combined heart rate and motion sensor for the measurement of free-living physical activity energy expenditure in adults in Cameroon

    International Journal of Epidemiology

    (2011)
  • P. Bech et al.

    From items to syndromes in the Hypomania Checklist (HCL-32): psychometric validation and clinical validity analysis

    Journal of Affective Disorders

    (2011)
  • A. Beigel et al.

    Unipolar and bipolar affective illness. Differences in clinical characteristics accompanying depression

    Archives of General Psychiatry

    (1971)
  • F. Benazzi

    The relationship of major depressive disorder to bipolar disorder: continuous or discontinuous?

    Current Psychiatry Reports

    (2005)
  • M. Berk et al.

    The Bipolar Depression Rating Scale (BDRS): its development, validation and utility

    Bipolar Disorders

    (2007)
  • I.M. Blackburn

    Mental and psychomotor speed in depression and mania

    The British Journal of Psychiatry

    (1975)
  • S. Brage et al.

    Branched equation modeling of simultaneous accelerometry and heart rate monitoring improves estimate of directly measured physical activity energy expenditure

    Journal of Applied Physiology

    (2004)
  • S. Brage et al.

    Reliability and validity of the combined heart rate and movement sensor Actiheart

    European Journal of Clinical Nutrition

    (2005)
  • S. Brage et al.

    Effect of combined movement and heart rate monitor placement on physical activity estimates during treadmill locomotion and free-living

    European Journal of Applied Physiology

    (2006)
  • S. Brage et al.

    Hierarchy of individual calibration levels for heart rate and accelerometry to measure physical activity

    Journal of Applied Physiology

    (2007)
  • J.R. Calabrese et al.

    Predictors of bipolar disorder risk among patients currently treated for major depression

    MedGenMed

    (2006)
  • D.L. Dunner et al.

    Depressive symptoms in patients with unipolar and bipolar affective disorder

    Comprehensive Psychiatry

    (1976)
  • M. First et al.

    Structured Clinical Interview for DSM-IV-TR Axis I Disorders

    (2002)
  • F.G. Foster et al.

    Psychomotor activity as a correlate of depression and sleep in acutely disturbed psychiatric inpatients

    The American Journal of Psychiatry

    (1975)
  • F.K. Goodwin et al.

    Manic-Depressive Illness

    (1996)
  • M. Hamilton

    Development of a rating scale for primary depressive illness

    The British Journal of Social and Clinical Psychology

    (1967)
  • R.M. Hirschfeld

    Bipolar spectrum disorder: improving its recognition and diagnosis

    The Journal of Clinical Psychiatry

    (2001)
  • R.M.A. Hirschfeld et al.

    Screening for bipolar disorder in the community

    The Journal of Clinical Psychiatry

    (2003)
  • R.M.A. Hirschfeld et al.

    Perceptions and impact of bipolar disorder: how far have we really come? Results of the National Depressive and Manic-Depressive Association 2000 survey of individuals with bipolar disorder

    The Journal of Clinical Psychiatry

    (2003)
  • F. Holsboer

    Unipolar versus bipolar disorder: a distinction not helpful for studies of causality

    Current Psychiatry Reports

    (2005)
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