Assessing Diabetes Self-Management with the Diabetes Self-Management Questionnaire (DSMQ) Can Help Analyse Behavioural Problems Related to Reduced Glycaemic Control

Andreas Schmitt; Andre Reimer; Norbert Hermanns; Jorg Huber; Dominic Ehrmann; Sabine Schall; Bernhard Kulzer

doi:10.1371/journal.pone.0150774

Assessing Diabetes Self-Management with the Diabetes Self-Management Questionnaire (DSMQ) Can Help Analyse Behavioural Problems Related to Reduced Glycaemic Control

Andreas Schmitt, Andre Reimer, Norbert Hermanns, Jorg Huber, Dominic Ehrmann, Sabine Schall, Bernhard Kulzer

University of Brighton

Research output: Contribution to journal › Article › peer-review

Abstract

Aim: to appraise the Diabetes Self-Management Questionnaire (DSMQ)’s measurement of diabetes self-management as a statistical predictor of glycaemic control relative to the widely used SDSCA. Methods: 248 patients with type 1 diabetes and 182 patients with type 2 diabetes were cross-sectionally assessed using the two self-report measures of diabetes self-management DSMQ and SDSCA; the scales were used as competing predictors of HbA1c. We developed a structural equation model of self-management as measured by the DSMQ and analysed the amount of variation explained in HbA1c; an analogue model was developed for the SDSCA. Results: the structural equation models of self-management and glycaemic control showed very good fit to the data. The DSMQ’s measurement of self-management showed associations with HbA1c of –0.53 for type 1 and –0.46 for type 2 diabetes (both P < 0.001), explaining 21% and 28% of variation in glycaemic control, respectively. The SDSCA’s measurement showed associations with HbA1c of –0.14 (P = 0.030) for type 1 and –0.31 (P = 0.003) for type 2 diabetes, explaining 2% and 10% of glycaemic variation. Predictive power for glycaemic control was significantly higher for the DSMQ (P < 0.001). Conclusions: this study supports the DSMQ as the preferred tool when analysing self-reported behavioural problems related to reduced glycaemic control. The scale may be useful for clinical assessments of patients with suboptimal diabetes outcomes or research on factors affecting associations between self-management behaviours and glycaemic cont

Original language	English
Pages (from-to)	1-12
Number of pages	12
Journal	PLoS ONE
Volume	11
Issue number	3
DOIs	https://doi.org/10.1371/journal.pone.0150774
Publication status	Published - 3 Mar 2016

Bibliographical note

© 2016 Schmitt et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Jorg Huber
- J.Huberbrighton.acuk
- School of Sport and Health Sciences - Professor of Health Sciences
Person: Academic

Cite this

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abstract = "Aim: to appraise the Diabetes Self-Management Questionnaire (DSMQ){\textquoteright}s measurement of diabetes self-management as a statistical predictor of glycaemic control relative to the widely used SDSCA. Methods: 248 patients with type 1 diabetes and 182 patients with type 2 diabetes were cross-sectionally assessed using the two self-report measures of diabetes self-management DSMQ and SDSCA; the scales were used as competing predictors of HbA1c. We developed a structural equation model of self-management as measured by the DSMQ and analysed the amount of variation explained in HbA1c; an analogue model was developed for the SDSCA. Results: the structural equation models of self-management and glycaemic control showed very good fit to the data. The DSMQ{\textquoteright}s measurement of self-management showed associations with HbA1c of –0.53 for type 1 and –0.46 for type 2 diabetes (both P < 0.001), explaining 21% and 28% of variation in glycaemic control, respectively. The SDSCA{\textquoteright}s measurement showed associations with HbA1c of –0.14 (P = 0.030) for type 1 and –0.31 (P = 0.003) for type 2 diabetes, explaining 2% and 10% of glycaemic variation. Predictive power for glycaemic control was significantly higher for the DSMQ (P < 0.001). Conclusions: this study supports the DSMQ as the preferred tool when analysing self-reported behavioural problems related to reduced glycaemic control. The scale may be useful for clinical assessments of patients with suboptimal diabetes outcomes or research on factors affecting associations between self-management behaviours and glycaemic cont",

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AU - Schall, Sabine

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Assessing Diabetes Self-Management with the Diabetes Self-Management Questionnaire (DSMQ) Can Help Analyse Behavioural Problems Related to Reduced Glycaemic Control

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