Literature DB >> 24388726

Alexithymia as a risk factor for type 2 diabetes mellitus in the metabolic syndrome: a cross-sectional study.

Alexandra V Lemche1, Oleg S Chaban2, Erwin Lemche3.   

Abstract

Alexithymia is a clinical trait consisting of diminished introspective and interoceptive capacities that has been shown to implicate elevated autonomic outflow and to bias for hypertension. To estimate relative risk associated with alexithymia in the metabolic syndrome (MetS), we conducted a cross-sectional analysis of patients with manifest type 2 diabetes mellitus (T2DM) or familial diabetes risk (N=101; 67 females; age 45.6±13.96) in a nationwide sampled treatment cohort for MetS in the Ukrainian governmental health care system. Laboratory data of single components of the MetS according to International Diabetes Federation Consensus were dependent measures in multivariable regression models with self-reported alexithymia severity (TAS-20) and socio-demographic data. TAS-20 as the sole surviving psychometric predictor for T2DM in the simplest regression equation provided the best model fit: OR 1.073, Z=19.04, (95%CIs 1.065-1.081). For microalbuminuria, the best fitting model was OR 1.030, Z=3.49 (95%CIs 1.013-1.048). TAS-20 predicted also triglyceride level at Wald-χ(2)=1299.27, Z=36.05 (95%CIs 0.052-0.058) and blood pressure maximum at Wald-χ(2)=2309.05, Z=48.05 (95%CIs 2.402-2.606). Our results show that alexithymia severity contributes to MetS by covarying with several of its single components, and that it may be a substantial concurrent indicator of T2DM and cardiovascular risks in MetS.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Cardiovascular disease; Cross-sectional studies; Metabolic syndrome; National cohort; Relative risk; Toronto Alexithymia Scale; Type 2 diabetes mellitus

Mesh:

Year:  2013        PMID: 24388726     DOI: 10.1016/j.psychres.2013.12.004

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  10 in total

1.  Alexithymia, more than depression, influences glycaemic control of type 2 diabetic patients.

Authors:  A Luca; M Luca; M Di Mauro; F Palermo; F Rampulla; C Calandra
Journal:  J Endocrinol Invest       Date:  2015-01-18       Impact factor: 4.256

2.  Impact of Alexithymia on the Lipid Profile in Major Depressed Individuals.

Authors:  Camille Point; Benjamin Wacquier; Marjorie Dosogne; Mohammed Al Faker; Hadrien Willame; Gwenolé Loas; Matthieu Hein
Journal:  J Lipids       Date:  2022-06-16

3.  Alexithymia in patients with type 2 diabetes mellitus: the role of anxiety, depression, and glycemic control.

Authors:  Dilek Avci; Meral Kelleci
Journal:  Patient Prefer Adherence       Date:  2016-07-20       Impact factor: 2.711

4.  Alexithymia: a general deficit of interoception.

Authors:  Rebecca Brewer; Richard Cook; Geoffrey Bird
Journal:  R Soc Open Sci       Date:  2016-10-12       Impact factor: 2.963

5.  Symptom profiles of subsyndromal depression in disease clusters of diabetes, excess weight, and progressive cerebrovascular conditions: a promising new type of finding from a reliable innovation to estimate exhaustively specified multiple indicators-multiple causes (MIMIC) models.

Authors:  Richard B Francoeur
Journal:  Diabetes Metab Syndr Obes       Date:  2016-12-08       Impact factor: 3.168

6.  Depression contributing to dyslipidemic cardiovascular risk in the metabolic syndrome.

Authors:  A V Lemche; O S Chaban; E Lemche
Journal:  J Endocrinol Invest       Date:  2016-12-23       Impact factor: 4.256

7.  Alexithymia in Gastroenterology and Hepatology: A Systematic Review.

Authors:  Danilo Carrozzino; Piero Porcelli
Journal:  Front Psychol       Date:  2018-04-06

8.  The relation of alexithymia and attachment with type 1 diabetes management in adolescents: a gender-specific analysis.

Authors:  Zeinab Shayeghian; Mina Moeineslam; Elnaz Hajati; Mehrdad Karimi; Golshan Amirshekari; Parisa Amiri
Journal:  BMC Psychol       Date:  2020-04-06

9.  Prevalence and associated factors of alexithymia among adult prisoners in China: a cross-sectional study.

Authors:  Li Chen; Linna Xu; Weimin You; Xiaoyan Zhang; Nanpeng Ling
Journal:  BMC Psychiatry       Date:  2017-08-03       Impact factor: 3.630

10.  Metabolic Syndrome Prediction Models Using Machine Learning and Sasang Constitution Type.

Authors:  Ji-Eun Park; Sujeong Mun; Siwoo Lee
Journal:  Evid Based Complement Alternat Med       Date:  2021-02-08       Impact factor: 2.629

  10 in total

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