Cargando…
Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach
Introduction: It is essential to consider the clinical assessment of psychological aspects in patients with Diabetes Mellitus (DM), in order to prevent potentially adverse self-management care behaviors leading to diabetes-related complications, including declining levels of Quality of Life (QoL) an...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443140/ https://www.ncbi.nlm.nih.gov/pubmed/28596745 http://dx.doi.org/10.3389/fpsyg.2017.00831 |
_version_ | 1783238523375058944 |
---|---|
author | Conti, Chiara Di Francesco, Giulia Fontanella, Lara Carrozzino, Danilo Patierno, Chiara Vitacolonna, Ester Fulcheri, Mario |
author_facet | Conti, Chiara Di Francesco, Giulia Fontanella, Lara Carrozzino, Danilo Patierno, Chiara Vitacolonna, Ester Fulcheri, Mario |
author_sort | Conti, Chiara |
collection | PubMed |
description | Introduction: It is essential to consider the clinical assessment of psychological aspects in patients with Diabetes Mellitus (DM), in order to prevent potentially adverse self-management care behaviors leading to diabetes-related complications, including declining levels of Quality of Life (QoL) and negative metabolic control. Purpose: In the framework of Structural Equation Modeling (SEM), the specific aim of this study is to evaluate the influence of distressed personality factors as Negative Affectivity (NA) and Social Inhibition (SI) on diabetes-related clinical variables (i.e., QoL and glycemic control). Methods: The total sample consists of a clinical sample, including 159 outpatients with Type 2 Diabetes Mellitus (T2DM), and a control group composed of 102 healthy respondents. All participants completed the following self- rating scales: The Type D Scale (DS14) and the World Health Organization QoL Scale (WHOQOLBREF). Furthermore, the participants of the clinical group were assessed for HbA1c, disease duration, and BMI. The observed covariates were BMI, gender, and disease duration, while HbA1c was considered an observed variable. Results: SEM analysis revealed significant differences between groups in regards to the latent construct of NA and the Environmental dimension of QoL. For the clinical sample, SEM showed that NA had a negative impact on both QoL dimensions and metabolic control. Conclusions: Clinical interventions aiming to improve medication adherence in patients with T2DM should include the psychological evaluation of Type D Personality traits, by focusing especially on its component of NA as a significant risk factor leading to negative health outcomes. |
format | Online Article Text |
id | pubmed-5443140 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-54431402017-06-08 Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach Conti, Chiara Di Francesco, Giulia Fontanella, Lara Carrozzino, Danilo Patierno, Chiara Vitacolonna, Ester Fulcheri, Mario Front Psychol Psychology Introduction: It is essential to consider the clinical assessment of psychological aspects in patients with Diabetes Mellitus (DM), in order to prevent potentially adverse self-management care behaviors leading to diabetes-related complications, including declining levels of Quality of Life (QoL) and negative metabolic control. Purpose: In the framework of Structural Equation Modeling (SEM), the specific aim of this study is to evaluate the influence of distressed personality factors as Negative Affectivity (NA) and Social Inhibition (SI) on diabetes-related clinical variables (i.e., QoL and glycemic control). Methods: The total sample consists of a clinical sample, including 159 outpatients with Type 2 Diabetes Mellitus (T2DM), and a control group composed of 102 healthy respondents. All participants completed the following self- rating scales: The Type D Scale (DS14) and the World Health Organization QoL Scale (WHOQOLBREF). Furthermore, the participants of the clinical group were assessed for HbA1c, disease duration, and BMI. The observed covariates were BMI, gender, and disease duration, while HbA1c was considered an observed variable. Results: SEM analysis revealed significant differences between groups in regards to the latent construct of NA and the Environmental dimension of QoL. For the clinical sample, SEM showed that NA had a negative impact on both QoL dimensions and metabolic control. Conclusions: Clinical interventions aiming to improve medication adherence in patients with T2DM should include the psychological evaluation of Type D Personality traits, by focusing especially on its component of NA as a significant risk factor leading to negative health outcomes. Frontiers Media S.A. 2017-05-24 /pmc/articles/PMC5443140/ /pubmed/28596745 http://dx.doi.org/10.3389/fpsyg.2017.00831 Text en Copyright © 2017 Conti, Di Francesco, Fontanella, Carrozzino, Patierno, Vitacolonna and Fulcheri. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Conti, Chiara Di Francesco, Giulia Fontanella, Lara Carrozzino, Danilo Patierno, Chiara Vitacolonna, Ester Fulcheri, Mario Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title | Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title_full | Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title_fullStr | Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title_full_unstemmed | Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title_short | Negative Affectivity Predicts Lower Quality of Life and Metabolic Control in Type 2 Diabetes Patients: A Structural Equation Modeling Approach |
title_sort | negative affectivity predicts lower quality of life and metabolic control in type 2 diabetes patients: a structural equation modeling approach |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5443140/ https://www.ncbi.nlm.nih.gov/pubmed/28596745 http://dx.doi.org/10.3389/fpsyg.2017.00831 |
work_keys_str_mv | AT contichiara negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT difrancescogiulia negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT fontanellalara negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT carrozzinodanilo negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT patiernochiara negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT vitacolonnaester negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach AT fulcherimario negativeaffectivitypredictslowerqualityoflifeandmetaboliccontrolintype2diabetespatientsastructuralequationmodelingapproach |