Evidence map›Paper›PMID 32462074›Full record

ArticleSSM - population health2020

Socioeconomic inequalities in type 2 diabetes in employed individuals, nonworking spouses and pensioners.

Batoul Safieddine, Stefanie Sperlich, Johannes Beller, Karin Lange, Jelena Epping, Juliane Tetzlaff, Fabian Tetzlaff, Siegfried Geyer

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 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

8 authors at 1 institution in 1 country.

Batoul SafieddineMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Stefanie SperlichMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Johannes BellerMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Karin LangeMedical Psychology Unit OE 5430, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Jelena EppingMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Juliane TetzlaffMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Fabian TetzlaffInstitute for General Practice, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Siegfried GeyerMedical Sociology Unit OE 5420, Hannover Medical School, Carl-Neuberg-Str. 1, 30625, Hannover, Germany.
Medizinische Hochschule Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Type 2 diabetes (T2D) is a rising global epidemic with lower socioeconomic groups being more affected. Considering specific population subgroups to examine prevalence and socioeconomic inequalities in T2D is rare. Moreover, using one indicator to depict socioeconomic inequalities in health is a common practice despite evidence on differences in what different socioeconomic indicators ought to measure. This study has two aims: 1. Examine the prevalence of T2D in employed individuals, nonworking spouses and pensioners. 2. Examine socioeconomic inequalities in T2D in the three population subgroups and determine the explanatory power of income, education and occupation in employed individuals and nonworking spouses. This study is based on claims data from a statutory health insurance provider in Lower Saxony, Germany. T2D prevalence in the period between 2013 and 2017 was examined in employed individuals, nonworking spouses and pensioners. Multivariate logistic regression analysis was applied to examine socioeconomic inequalities in T2D in the three population subgroups. Explanatory power of the three socioeconomic indicators was determined by deviance analysis. Results showed that T2D prevalence was four times higher in male nonworking spouses (24.2%) and 2.6 times higher in female nonworking spouses (12.7%) compared to employed men (6.4%) and women (4.7%) respectively, while it accounted for 40% of men and 36% of women in pensioners. T2D inequalities emerged for all three socioeconomic indicators and were observed in the three subgroups. School education had the highest explanatory power in employed men and women and male nonworking spouses. Nonworking spouses are an important target group in T2D prevention interventions. The three socioeconomic indicators have independent effects and differ in their explanatory power where low school education appears to be a major risk factor. It can be discussed that health literacy and the associated health behavior play a role in mediating the association between school education and T2D.

Indexed as

Claims dataGermanyPrevalenceSocioeconomic inequalitiesType 2 diabetes

Identifiers

PMID32462074
PMCPMC7240220
OpenAlexW3025240300

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.