Evidence map›Paper›PMID 33740024›Full record

ArticlePloS one2021

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

Marcus Heise, Astrid Fink, Jens Baumert, Christin Heidemann, Yong Du, Thomas Frese, Solveig Carmienke

Open access · goldAbstract read
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Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Marcus HeiseInstitute of General Practice and Family Medicine, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany.ORCID 0000-0002-8419-6412
Astrid FinkInstitute of Medical Sociology, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Jens BaumertDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Christin HeidemannDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.ORCID 0000-0002-9413-2148
Yong DuDepartment of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.
Thomas FreseInstitute of General Practice and Family Medicine, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Solveig CarmienkeInstitute of General Practice and Family Medicine, Medical Faculty of Martin Luther-University Halle-Wittenberg, Halle (Saale), Germany.
Martin Luther University Halle-Wittenberg · DERobert Koch Institute · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveFew 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

methodsThe 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.

resultsLatent 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.

Indexed as

Latent Class AnalysisSelf-ManagementAdolescentAdultAgedAged, 80 and overDiabetes MellitusFemaleGermanyHumansLinear ModelsMaleMedication AdherenceMiddle AgedProbabilityYoung Adult

Identifiers

PMID33740024
PMCPMC7978380
OpenAlexW3139361171

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.