Research reportDoes obesity predict bipolarity in major depressive patients?
Introduction
About one third of patients with bipolar disorder (BD) requires more than 10 years from the onset of the first clinical manifestations to the correct diagnosis (Hirschfeld et al., 2003b, Lish et al., 1994, Suppes et al., 2001). The most common incorrect diagnosis is unipolar Major Depressive Disorder (MDD) (Hirschfeld et al., 2003b). According to several epidemiological and clinical studies, almost 40% of BD patients are initially diagnosed with MDD (Ghaemi et al., 1999, Ghaemi et al., 2000) and from 21% to 26% of unipolar depressed patients in primary care settings report some bipolarity aspects after careful screening (Hirschfeld et al., 2005, Manning et al., 1997). These data disclose the age-old diagnostic issue about the implementation of our capacity to immediately give a correct diagnosis. With this purpose during the last decades some clinical features have been identified useful in distinguishing unipolar from bipolar Major Depressive Episode (MDE). Among them earlier age of onset (Lish et al., 1994), positive family history for BD (Bowden, 2005, Hirschfeld et al., 2003a), atypical features (Gold et al., 2002, Perugi et al., 1998), anxiety (Akiskal et al., 2006, Perugi et al., 2003), and substance abuse (Maremmani et al., 2008, Maremmani et al., 2006) have been observed more commonly in bipolar than unipolar depressive patients.
Obesity is a chronic and relapsing illness which affects from 10% to 35% of the general population (Bray and Bellanger, 2006, Wilborn et al., 2005). In the last decades obesity has become a public health concern due to the increased prevalence rate and the large percentages of morbidity and mortality associated. A relationship between mood disorders and Obesity has been widely demonstrated. Clinical and epidemiologic studies found a positive association between obesity, MDD and BD (Simon et al., 2006), both for men and women, with some gender-mediated differences in psychiatric comorbidity and clinical features. A one-to-one relationship seems to connect affective illnesses and obesity; depressive symptoms, personal and familial history for depressive episodes and high rates of psychological dysfunction are common among treatment-seeking Obese individuals (Johnston, 2004, Heo et al., 2006, Dong et al., 2004) whereas weight gain, overweight and obesity frequently affect the course and the treatment of mood disorders. Fagiolini and colleagues (Fagiolini et al., 2003) observed that obesity is associated with clinical features such as large number of lifetime depressive and manic episodes, severe and difficult-to-treat index affective episode, large amount of affective recurrence, particularly depressive, and short time to relapse. Conversely depression may play an important role in the success of weight loss. Sherwood et al. (2004) found that improvements in binge eating status, mediated by improvement in depression, predicted significantly weight loss in MDD patients.
Interestingly, the risk of depression seems to increase with growing BMI (Onyike et al., 2003). Furthermore, both childhood and adulthood MDD correlate with obesity in adults in males as in females (Pine et al., 1997, Pine et al., 2001). These results can be explained partly by some clinical overlapping features as overeating, physical inactivity, and high overall carbohydrates intake (Elmslie et al., 2001), partly by comorbid eating disorders as binge-eating disorder (McElroy et al., 2004, Telch and Stice, 1998), and partly by the side-effects of psychotropic medications (Keck and McElroy, 2003). More specifically overweight, obesity and abdominal obesity are associated with atypical depression (Hasler et al., 2004, Kendler et al., 1996) and BD (Elmslie et al., 2001, Elmslie et al., 2000) both in males and females and with lifetime hypomanic symptoms in males (Hasler et al., 2004).
To our knowledge the differential prevalence rate in bipolar and unipolar MDE of obesity have not been systematically studied so far. The aim of the present study is to explore the relationships between obesity and history of manic and hypomanic symptoms in a large clinical sample of major depressive patients.
Section snippets
Method
COME TO ME is a cross-sectional, multi-center, observational study that enrolled 571 consecutive patients with a diagnosis of Major Depressive Episode, according to DSM-IV, in a 7 months period. The study involved 30 psychiatric facilities for outpatients, distributed throughout Italy; 8 centers are located in north Italy, 9 in central regions, 7 in the south and 6 in the Islands (Sicily and Sardinia). In accordance with the observational nature of the protocol, routine medical procedures were
Results
Among the 571 valuable patients with MDE, MDD recurrent (n=215, 37.7%) and single episode (n=197, 34.5%) were the most common diagnoses. One hundred and nineteen patients (21.1%) presented Bipolar I or II Depression; moreover, 14 or more hypomanic features, as recorded by means of the HCL-32, were reported by 276 (48.3%) patients. Depression NOS was diagnosed only in 39 (7.0%) patients. The mean severity of depression and anxiety as measured by the means of Zung's scales was respectively 53.2
Discussion
In our national sample of 572 patients, representative of MDE population observed in outpatient psychiatric facilities distributed throughout Italy, obesity is very common, with a prevalence rate of 15.1% in comparison 9.1% observed in Italian general population (ISTAT, 2001). This finding supports the strong association between depression and obesity which is widely reported in the previous studies (Stunkard and Allison, 2003, Faith et al., 2002, Elmslie et al., 2001, Elmslie et al., 2000,
Role of funding source
Data collection were supported by Boehringer Ingelheim Italia. Boehringer Ingelheim Italia had no further role in the analysis and interpretation of the data, in the writing of the report and in the decision to submit the manuscript for publication.
Conflict of interest
This study did not involve any drug treatment or devices. The authors report no conflict of interest relevant to this work.
Acknowledgments
The Authors particularly wish to thank the Board committee of the Come To Me Study: Pier Luigi CANONICO, Paolo CARBONATO, Claudio MENCACCI, Giovanni MUSCETTOLA, Luca PANI, Riccardo TORTA, Claudio VAMPINI.
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