Evidence map›Paper›PMID 30573479›Full record

ArticleBMJ open2018

Patterns of multiple lifestyle risk factors and their link to mental health in the German adult population: a cross-sectional study.

Josefine Atzendorf, Christian Apfelbacher, Elena Gomes de Matos, Ludwig Kraus, Daniela Piontek

Abstract read
In one paragraph

Article in BMJ open, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

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  10. Factors Associated with the Lifestyle of Pediatric Healthcare Professionals during the COVID-19 Pandemic.International journal of environmental research and public health · 2023
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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

5 authors.

Josefine AtzendorfDepartment for Epidemiology and Diagnostic, IFT Institut für Therapieforschung, Munich, Germany.
Christian ApfelbacherMedical Sociology, Institute of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.ORCID 0000-0003-3805-8219
Elena Gomes de MatosDepartment for Epidemiology and Diagnostic, IFT Institut für Therapieforschung, Munich, Germany.
Ludwig KrausDepartment for Epidemiology and Diagnostic, IFT Institut für Therapieforschung, Munich, Germany.
Daniela PiontekDepartment for Epidemiology and Diagnostic, IFT Institut für Therapieforschung, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLifestyle risk factors, such as drinking or unhealthy diet, can expotentiate detrimental health effects. Therefore, it is important to investigate multiple lifestyle risk factors instead of single ones. The study aims at: (1) identifying patterns of lifestyle risk factors within the adult general population in Germany and (2) examining associations between the extracted patterns and external factors.

designCross-sectional study.

settingGeneral German adult population (aged 18-64 years).

participantsParticipants of the 2015 Epidemiological Survey of Substance Abuse (n=9204). PRIMARY OUTCOME MEASURES: Lifestyle risk factors (daily smoking, at-risk alcohol consumption, unhealthy diet, low physical activity, weekly use of pharmaceuticals, as well as consumption of cannabis and other illicit drugs).

resultsA latent class analysis was applied to identify patterns of lifestyle risk factors, and a multinomial logistic regression was carried out to examine associations between the extracted classes and external factors. A total of four classes were extracted which can be described as healthy lifestyle (58.5%), drinking lifestyle (24.4%), smoking lifestyle (15.4%) and a cumulate risk factors lifestyle (1.7%). Individuals who were male, at younger age and single as well as individuals with various mental health problems were more likely to show multiple lifestyle risk factors.

conclusionsHealthcare professionals should be aware of correlations between different lifestyle risk factors as well as between lifestyle risk groups and mental health. Health promotion strategies should further focus especially on younger and single men.

Indexed as

Life StyleAdolescentAdultAge FactorsAlcohol DrinkingCross-Sectional StudiesDietDivorceEducational StatusFemaleGermanyHealth SurveysHumansMaleMental DisordersMiddle Agedepidemiologyhealth behaviourlatent class analysislifestylemental healthpopulation survey

Identifiers

PMID30573479
PMCPMC6303616

What OpenQuestion holds

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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.