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      Patterns and associated factors of diabetes self-management: Results of a latent class analysis in a German population-based study

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          Abstract

          Objective

          Few studies on diabetes self-management considered the patterns and relationships of different self-management behaviours (SMB). The aims of the present study are 1) to identify patterns of SMB among persons with diabetes, 2) to identify sociodemographic and disease-related predictors of SMB among persons with diabetes.

          Research design and methods

          The present analysis includes data of 1,466 persons (age 18 to 99 years; 44.0% female; 56.0% male) with diabetes (type I and II) from the population-based study German Health Update 2014/2015 (GEDA 2014/2015-EHIS). We used latent class analysis in order to distinguish different patterns of self-management behaviours among persons with diabetes. The assessment of SMB was based on seven self-reported activities by respondents (dietary plan, diabetes-diary, diabetes health pass, self-assessment of blood glucose, self-examination of feet, retinopathy-screenings and assessment of HbA1c). Subsequent multinomial latent variable regressions identified factors that were associated with self-management behaviour.

          Results

          Latent class analysis suggested a distinction between three patterns of SMB. Based on modal posterior probabilities 42.8% of respondents showed an adherent pattern of diabetes self-management with above-average frequency in all seven indicators of SMB. 32.1% showed a nonadherent pattern with a below-average commitment in all seven forms of SMB. Another 25.1% were assigned to an ambivalent type, which showed to be adherent with regard to retinopathy screenings, foot examinations, and the assessment of HbA1c, yet nonadherent with regard to all other forms of SMB. In multivariable regression analyses, participation in Diabetes Self-Management Education programs (DSME) was the most important predictor of good self-management behaviour (marginal effect = 51.7 percentage points), followed by attentiveness towards one’s personal health (31.0 percentage points). Respondents with a duration of illness of less than 10 years (19.5 percentage points), employed respondents (7.5 percentage points), as well as respondents with a high socioeconomic status (24.7 percentage points) were more likely to show suboptimal forms of diabetes self-management.

          Discussion

          In the present nationwide population-based study, a large proportion of persons with diabetes showed suboptimal self-management behaviour. Participation in a DSME program was the strongest predictor of good self-management. Results underline the need for continual and consistent health education for patients with diabetes.

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          Most cited references56

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          Estimating the Dimension of a Model

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            WITHDRAWN: Global and regional diabetes prevalence estimates for 2019 and projections for 2030 and 2045: results from the International Diabetes Federation Diabetes Atlas, 9th edition

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Writing – original draft
                Role: ConceptualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: Writing – review & editing
                Role: ConceptualizationRole: Project administrationRole: Writing – review & editing
                Role: Writing – review & editing
                Role: ConceptualizationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                19 March 2021
                2021
                : 16
                : 3
                : e0248992
                Affiliations
                [1 ] Institute of General Practice and Family Medicine, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany
                [2 ] Institute of Medical Sociology, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany
                [3 ] Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany
                Universidad Miguel Hernandez de Elche, SPAIN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8419-6412
                https://orcid.org/0000-0002-9413-2148
                Article
                PONE-D-21-00720
                10.1371/journal.pone.0248992
                7978380
                33740024
                2e349f23-d53f-4ed3-9bb6-9efc6f420a82
                © 2021 Heise 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.

                History
                : 8 January 2021
                : 10 March 2021
                Page count
                Figures: 2, Tables: 4, Pages: 23
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/501100003107, Bundesministerium für Gesundheit;
                Funded by: Robert Koch Institut
                Award Recipient :
                This work was supported by the Robert Koch Institute and the German Federal Ministry of Health, no specific grant number.
                Categories
                Research Article
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Medicine and Health Sciences
                Medical Conditions
                Metabolic Disorders
                Diabetes Mellitus
                Biology and Life Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Nutrition
                Diet
                Medicine and Health Sciences
                Health Care
                Patients
                Biology and Life Sciences
                Anatomy
                Body Fluids
                Blood
                Blood Sugar
                Medicine and Health Sciences
                Anatomy
                Body Fluids
                Blood
                Blood Sugar
                Biology and Life Sciences
                Physiology
                Body Fluids
                Blood
                Blood Sugar
                Medicine and health sciences
                Diagnostic medicine
                Diabetes diagnosis and management
                HbA1c
                Biology and life sciences
                Biochemistry
                Proteins
                Hemoglobin
                HbA1c
                Medicine and Health Sciences
                Health Care
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Public and Occupational Health
                Socioeconomic Aspects of Health
                Medicine and Health Sciences
                Endocrinology
                Diabetic Endocrinology
                Insulin
                Biology and Life Sciences
                Biochemistry
                Hormones
                Insulin
                Medicine and Health Sciences
                Endocrinology
                Endocrine Disorders
                Diabetes Mellitus
                Gestational Diabetes
                Medicine and Health Sciences
                Medical Conditions
                Metabolic Disorders
                Diabetes Mellitus
                Gestational Diabetes
                Custom metadata
                Legal restrictions concerning the participant’s privacy prohibit us from publicly sharing our data set. Our manuscript analyzed data of the nationwide population- based German Health Update (GEDA) 2014/2015 European Health Interview Survey (EHIS), conducted on behalf of the German Federal Ministry of Health by the Robert Koch Institute. The study protocol was inspected and approved by the German Federal Commissioner for Data Protection and Freedom of Information (reference number: III-401/008#0015). Written informed consent was obtained from all participants. Participants were informed about the goals and contents of the study, about privacy and data protection proceedings and their voluntary participation. These data cannot be shared publicly because informed consent from study participants did not cover public deposition of data. However, the minimal data set underlying the findings presented in this manuscript as well as the corresponding program files containing statistical analyses are archived in the Health Monitoring Research Data Centre at the Robert Koch Institute (RKI) and can be accessed by all interested researchers who meet the criteria for access to confidential data. Onsite access to the data set is possible at the Secure Data Center of the RKI’s Health Monitoring Research Data Centre. Requests should be submitted to the Robert Koch Institute, Health Monitoring Research Data Centre, General-Pape-Straße 64, 12101 Berlin, Germany (e-mail: fdz@ 123456rki.de ).

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