Evidence map›Paper›PMID 42829443›Full record

ArticleBMC nutrition2026

Assessing the change in diet from baseline to first re-examination - results from the German National Cohort (NAKO).

Nina Wawro, Sven Knüppel, Katharina S Weber, Wolfgang Lieb, Paula Stürmer, Sabrina Schlesinger, Michael Leitzmann, Beate Fischer, Stefanie Castell, Börge Schmidt and 14 more

Abstract read
In one paragraph

Article in BMC nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

24 authors.

Nina WawroEpidemiology, University of Augsburg, Augsburg, Germany. nina.wawro@helmholtz-munich.de.
Sven KnüppelDepartment Food and Feed Safety in the Food Chain, Unit Human Study Centre Consumer Health Protection, German Federal Institute for Risk Assessment, Berlin, Germany.
Katharina S WeberInstitute of Epidemiology, University of Kiel, Kiel, Germany.
Wolfgang LiebInstitute of Epidemiology, University of Kiel, Kiel, Germany.
Paula StürmerInstitute of Epidemiology, University of Kiel, Kiel, Germany.
Sabrina SchlesingerGerman Diabetes Center, Institute for Biometrics and Epidemiology, Leibniz Center for Diabetes Research at Heinrich Heine University, Düsseldorf, Germany.
Michael LeitzmannDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Beate FischerDepartment of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany.
Stefanie CastellDepartment of Epidemiology, Helmholtz Centre for Infection Research (HZI), Brunswick, Germany.
Börge SchmidtInstitute for Medical Informatics, Biometry and Epidemiology, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Antje HebestreitLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Gowsiga LoganathanLeibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, Germany.
Tobias PischonMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Katharina NimptschMolecular Epidemiology Research Group, Max Delbrück Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.
Lilian KristInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Stefan N WillichInstitute of Social Medicine, Epidemiology and Health Economics, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Annette PetersInstitute of Epidemiology, Helmholtz Center Munich, Neuherberg, Germany.
André KarchInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Henning TeismannInstitute of Epidemiology and Social Medicine, University of Münster, Münster, Germany.
Nadia ObiInstitute for Occupational and Maritime Medicine (ZfAM), University Medical Center Hamburg-Eppendorf, Hamburg, Germany.
Sylvia GastellGerman Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Stefanie JaskulskiInstitute of Epidemiology and Prevention, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.
Matthias B SchulzeGerman Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany.
Jakob LinseisenEpidemiology, University of Augsburg, Augsburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the NAKO cohort, dietary assessment instruments were applied at baseline (2014-2019) and during the first re-examination (2019-2024). The aim was to assess and describe changes in dietary intake over time, and to evaluate the possible consequences of pooling dietary data from both assessment periods for NAKO participants with insufficient or missing dietary information at baseline.

methodsFull dietary information in both examination waves was collected in a group of 9,035 participants recruited in the study centers in Berlin-South and Freiburg. The mean difference between the baseline and first re-examination visit was 4.8 years (SD = 0.5). For both time periods, the usual intake of food items for each participant was estimated per examination wave using the modified Multiple Source Method (MSM) that incorporated repeated 24-hour food lists (24 h-FL) and a food frequency questionnaire (FFQ), combined with external data from the German National Nutrition Survey II (NVS II). Total energy intake and macronutrient intake were derived by linking food items to the German food composition database. On the individual level, differences in intake estimates were examined and the concordance was assessed.

resultsOverall, the results showed a high concordance of energy and macronutrient intake estimates between both time periods (ICC ≥ 0.70 for macronutrients) and only small mean differences. On average, energy intake decreased by 56 kcal/day in males and 37 kcal/day in females. At the food group level, only small changes were observed, except for the consumption of meat and meat products, as well as milk and dairy products. In females, average meat and meat product consumption decreased from baseline to the first re-examination by 7.3 g/day and in males by 14.6 g/day; the intake of milk and dairy products decreased by about 20 g/day in both females and males.

conclusionIn this NAKO sub-sample, habitual intake estimates for energy, macronutrients and most food groups were highly consistent between recruitment and first re-examination. While changes in two specific food groups were observed, overall macronutrient and energy intake remained stable over the five-year period. These findings suggest that in case of incomplete dietary data at baseline, it may be appropriate to use data from both examination waves to estimate a person's usual dietary intake.

Indexed as

Cohort studyFood group intakeMacro nutrient intakeNAKOUsual intake

Identifiers

PMID42829443
PMCPMC13633634

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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.