Evidence map›Paper›PMID 31315596›Full record

ArticleBMC public health2019

Over-indebtedness and its association with sleep and sleep medication use.

Jacqueline Warth, Marie-Therese Puth, Judith Tillmann, Johannes Porz, Ulrike Zier, Klaus Weckbecker, Eva Münster

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
6.9field-weighted citation impact, top 3% 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

14 citing papers in PubMed, 33 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 1 institution in 1 country.

Jacqueline WarthInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany. jacqueline.warth@ukbonn.de.ORCID http://orcid.org/0000-0001-6942-8951
Marie-Therese PuthInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Judith TillmannInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Johannes PorzInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Ulrike ZierInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Klaus WeckbeckerInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
Eva MünsterInstitute of General Practice and Family Medicine, University of Bonn, Universitätsklinikum Bonn AöR, Sigmund-Freud-Str. 25, 53127, Bonn, Germany.
University of Bonn · DE

Funding

Landeszentrum Gesundheit Nordrhein-Westfalen not available
6 · The paper itself

Abstract

backgroundOver-indebtedness is currently rising in high-income countries. Millions of citizens are confronted with the persistent situation when household income and assets are insufficient to cover payment obligations and living expenses. Previous research shows that over-indebtedness increases the risk of various adverse health effects. However, its association with sleep problems has not yet been examined. The objective of this study was to investigate the association between over-indebtedness and sleep problems and sleep medication use.

methodsA cross-sectional study on over-indebtedness (OID survey) was conducted in 70 debt advisory centres in Germany in 2017 that included 699 over-indebted respondents. The survey data were combined with the nationally representative German Health Interview and Examination Survey for Adults (DEGS1; n = 7987). We limited analyses to participants with complete data on all sleep variables (OID: n = 538, DEGS1: n = 7447). Descriptive analyses and logistic regression analyses were used to examine the association between over-indebtedness and difficulty initiating and maintaining sleep, and sleep medication use.

resultsA higher prevalence of sleep problems and sleep medication use was observed among over-indebted individuals compared to the general population. After adjustment for socio-economic and health factors (age, sex, education, marital status, employment status, subjective health status and mental illness), over-indebtedness significantly increased the risk of difficulties with sleep onset (adjusted odds ratio (aOR) 1.79, 95%-confidence interval (CI) 1.45-2.21), sleep maintenance (aOR 1.45, 95%-CI 1.17-1.80) and sleep medication use (aOR 3.94, 95%-CI 2.96-5.24).

conclusionsEvidence suggests a strong association between over-indebtedness and poor sleep and sleep medication use independent of conventional socioeconomic measures. Considering over-indebtedness in both research and health care practice will help to advance the understanding of sleep disparities, and facilitate interventions for those at risk.

trial registrationGerman Clinical Trials Register: DRKS00013100 (OID survey, ArSemü); Date of registration: 23.10.2017; Date of enrolment of the first participant: 18.07.2017, retrospectively registered.

Indexed as

Financial ManagementAdolescentAdultAgedCross-Sectional StudiesFemaleGermanyHumansMaleMiddle AgedPrevalenceRisk FactorsSleep Aids, PharmaceuticalSleep Initiation and Maintenance DisordersSurveys and QuestionnairesYoung AdultSleep Aids, PharmaceuticalDebtEpidemiologyFinancial problemsFinancial strainHypnoticsInsomniaMedication useOver-indebtednessSleep problemsSocioeconomic status

Identifiers

PMID31315596
PMCPMC6637586
OpenAlexW2957795178

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.