Metabolic Syndrome and Latent Depression in the Population Sample

Authors: Z. Hess;  H. Rosolová;  J. Podlipný 1;  L. Holubec 2;  O. Topolčan 2;  Petrlová
Authors‘ workplace: II. interní klinika FN a LF UK, Plzeň 1Psychiatrická klinika FN a LF UK, Plzeň 2 Oddělení imunoanalýzy FN a LF UK, Plzeň
Published in: Čas. Lék. čes. 2004; : 840-844


The aim of study was to reveal the relationship between metabolic syndrome and depression ina population sample, based on clinical and metabolic parameters.Methods and Results.We tried to estimate depression (or other psychopathologies) prevalence in a randomly chosenpopulation sample of the Pilsen city, using special questionnaires. Further, we estimated metabolic syndrome ofinsulin resistance risk factors and we looked for the relationship between these two disorders. Mental state of objectwas classified according to the questionnaires results, currently evaluated by the psychiatrist. Metabolic syndromeof insulin resistance was diagnosed as a presence of 3 of the 5 following factors: Triglycerides ≥1,7 mmol/l, HDLcholesterol 88 cm in females.Depressive syndrome diagnosed by Zungs scale is present in 31% of the Pilsen population, in 38% females and 31%males (n=340). In the group of depressive objects, characteristics of metabolic syndrome of insulin resistance weretwo times higher than in the control group. Differences in resting heart rate, triglycerides level and fasting C-peptidwere significantly higher in the depressive subjects. After the corrections considering age, sex and treatmentadjustment, the waist to hip ratio was in the depressive subjects statistically higher as well as the 24 hour excretionof urine cortisone. In persons withmetabolic syndrome of insulin resistance the prevalence of depression and anxietywas significantly higher.Conclusions. Our results show a possible relationship between depressive disorder and risk factors of the syndromeof insulin resistance. The question remains if the depression treatment can correct some of the metabolic syndromerisk factors.

Key words:
metabolic syndrome, insulin resistance, depression, risk factors.

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