Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 403

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

German health interview and examination survey for adults (DEGS) - design, objectives and implementation of the first data collection wave

Open access
Scheidt-Nave, Christa, Kamtsiuris, Panagiotis, Gößwald, Antje, Hölling, Heike, Lange, Michael, Busch, Markus A, Dahm, Stefan, Dölle, Rüdiger, Ellert, Ute, Fuchs, Judith, Hapke, Ulfert, Heidemann, Christin, Knopf, Hildtraud, Laussmann, Detlef, Mensink, Gert BM, Neuhauser, Hannelore, Richter, Almut, Sass, Anke-Christine, Rosario, Angelika Schaffrath, Stolzenberg, Heribert, Thamm, Michael, Kurth, Bärbel-Maria·2012·BMC Public Health

Abstract

BACKGROUND: The German Health Interview and Examination Survey for Adults (DEGS) is part of the recently established national health monitoring conducted by the Robert Koch Institute. DEGS combines a nationally representative periodic health survey and a longitudinal study based on follow-up of survey participants. Funding is provided by the German Ministry of Health and supplemented for specific research topics from other sources. METHODS/DESIGN: The first DEGS wave of data collection (DEGS1) extended from November 2008 to December 2011. Overall, 8152 men and women participated. Of these, 3959 persons already participated in the German National Health Interview and Examination Survey 1998 (GNHIES98) at which time they were 18-79 years of age. Another 4193 persons 18-79 years of age were recruited for DEGS1 in 2008-2011 based on two-stage stratified random sampling from local population registries. Health data and context variables were collected using standardized computer assisted personal interviews, self-administered questionnaires, and standardized measurements and tests. In order to keep survey results representative for the population aged 18-79 years, results will be weighted by survey-specific weighting factors considering sampling and drop-out probabilities as well as deviations between the design-weighted net sample and German population statistics 2010. DISCUSSION: DEGS aims to establish a nationally representative data base on health of adults in Germany. This health data platform will be used for continuous health reporting and health care research. The results will help to support health policy planning and evaluation. Repeated cross-sectional surveys will permit analyses of time trends in morbidity, functional capacity levels, disability, and health risks and resources. Follow-up of study participants will provide the opportunity to study trajectories of health and disability. A special focus lies on chronic diseases including asthma, allergies, cardiovascular conditions, diabetes mellitus, and musculoskeletal diseases. Other core topics include vaccine-preventable diseases and immunization status, nutritional deficiencies, health in older age, and the association between health-related behavior and mental health.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1186/1471-2458-12-730

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 403

Metadata

Authors
Scheidt-Nave, C., Kamtsiuris, P., Gößwald, A., Hölling, H., Lange, M., Busch, M. A., Dahm, S., Dölle, R., Ellert, U., Fuchs, J., Hapke, U., Heidemann, C., Knopf, H., Laussmann, D., Mensink, G. B., Neuhauser, H., Richter, A., Sass, A.-C., Rosario, A. S., Stolzenberg, H., Thamm, M., & Kurth, B.-M.
Venue
BMC Public Health
Published
2012-09-01
Volume
12
Issue
1
Pages
730-730
ISSN
1471-2458 (ISSN-L)
OpenAlex
W2109254385
Cited by
403
References
7
FWCI
58.41
Type
journal article
Language
en
Open access
gold

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: German health interview and examination survey for adults (DEGS) - design, objectives and implementation of the first data collection wave. https://app.cochat.ai/papers/10.1186/1471-2458-12-730
The paper
Scheidt-Nave, C., Kamtsiuris, P., Gößwald, A., Hölling, H., Lange, M., Busch, M. A., Dahm, S., Dölle, R., Ellert, U., Fuchs, J., Hapke, U., Heidemann, C., Knopf, H., Laussmann, D., Mensink, G. B., Neuhauser, H., Richter, A., Sass, A.-C., Rosario, A. S., . . . Kurth, B.-M. (2012). German health interview and examination survey for adults (DEGS) - design, objectives and implementation of the first data collection wave. BMC Public Health. https://doi.org/10.1186/1471-2458-12-730

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.