Body Image Perception in Acromegaly Is Not Associated with Objective Acromegalic Changes but Depends on Depressive Symptoms.

OBJECTIVE: Diagnosis of acromegaly is delayed up to 10 years after disease onset despite obvious external/objective changes such as bone and soft tissue deformities. We hypothesized that a lack of subjective perception of the disease state, possibly mediated by psychiatric or cognitive alterations, might contribute to the delayed initiation of a diagnostic workup. DESIGN: Cross-sectional study. METHODS: We investigated perceived body image by standardized questionnaires (FKB-20: Fragebogen zum Körperbild; FBeK: Fragebogen zur Beurteilung des eigenen Körpers) in 81 acromegalic patients and contrasted them to (a) a clinical control group of 60 patients with nonfunctioning pituitary adenomas (NFPA) who lack severe facial and physical alterations and (b) healthy controls. We further evaluated body image in relation to objective acromegalic changes as judged by medical experts and psychiatric pathology, e.g. depression and cognitive impairment. RESULTS: Patients with acromegaly did not lack subjective perception of the disease state; they showed more negative body image, less vitality, more insecurity/paresthesia and more accentuation of the body compared to normal controls. NFPA patients differed from acromegalic patients only in the 'vital body dynamics' scale of the FKB-20, although they hardly exhibit any physical/bodily changes. Depression correlated with worse body image. No associations were found between body image and objective acromegalic changes as judged by medical experts, cognitive decline or treatment status. CONCLUSIONS: Negative body image in acromegalic patients is unrelated to their objective appearance and similar to those of NFPA patients without major bodily changes. Depression, but not cognitive decline or treatment status, contributes to negative body image.

Reduced sleep quality and depression associate with decreased quality of life in patients with pituitary adenomas.

OBJECTIVES: Several studies reported decreased quality of life (QoL) and sleep as well as increased rates of depression for patients with pituitary adenomas. Our aim was to explore to what extent differences in depression and sleep quality contribute to differences in QoL between patients with pituitary adenomas and controls. DESIGN: A cross-sectional case-control study. SETTING: Endocrine Outpatient Unit of the Max Planck Institute of Psychiatry, Munich, Department of Internal Medicine, Ludwig-Maximilians-University, Munich, and the Institute of Clinical Psychology and Psychotherapy, Technical University, Dresden. PARTICIPANTS: Patients with pituitary adenomas (n=247) and controls (from the DETECT cohort, a large epidemiological study in primary care patients) matched individually by age and gender (n=757). MEASUREMENTS: Sleep quality was assessed with the Pittsburgh Sleep Quality Index (PSQI) and QoL was measured by the generic EQ-5D and calculated by the time trade-off- and VAS-method. Depression was categorized as 'no depression', 'subclinical depression', and 'clinical depression' according to the Beck Depressions Inventory for patients and the Depression Screening Questionnaire for control subjects. STATISTICAL ANALYSES: General linear and generalized, logistic mixed models as well as proportional odds mixed models were calculated for analyzing differences in baseline characteristics and in different subgroups. RESULTS: Patients with pituitary adenomas showed decreased QoL (VAS index: 0.73±0.19) and sleep (PSQI score: 6.75±4.17) as well as increased rates of depression (subclinical or clinical depression: 41.4%) compared with their matched control subjects (VAS index: 0.79±0.18, PSQI score: 5.66±4.31, subclinical or clinical depression: 25.9%). We have shown that a substantial proportion of the reduced QoL (48% respectively 65%) was due to the incidence of depression and reduced sleep quality. CONCLUSIONS: These findings emphasize the importance of diagnosing depressive symptoms and sleep disturbances in patients with pituitary disease, with the ultimate goal to improve QoL in patients with pituitary adenomas.