Evidence map›Paper›PMID 42862264›Full record

ArticleEuropean journal of epidemiology2026

SIMPLER: the Swedish infrastructure for medical population-based life-course and environmental research.

Eva Warensjö Lemming, Frida Carlsson, Diem Nguyen, Caesar Al Jewari, Carl Brunius, Liisa Byberg, Lars Engstrand, Tuulia Hyötylainen, Niclas Håkansson, Ingegerd Johansson and 10 more

Abstract read
PubMed Publisher
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

20 authors.

Eva Warensjö LemmingMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-0149-452X
Frida CarlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-0933-6451
Diem NguyenMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-9680-5772
Caesar Al JewariMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0002-0868-0384
Carl BruniusMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-3957-870X
Liisa BybergMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-4421-6466
Lars EngstrandDepartment of Microbiology, Tumor and Cell Biology, Centre for Translational Microbiome Research, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7713-2373
Tuulia HyötylainenSchool of Natural Sciences and Technology, Örebro University, Örebro, Sweden.ORCID https://orcid.org/0000-0002-4382-4355
Niclas HåkanssonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7673-5554
Ingegerd JohanssonDepartment of Odontology, Section of Cariology, Faculty of Medicine, Umeå University, Umeå, Sweden.ORCID https://orcid.org/0000-0002-9227-8434
Anna-Karin KolsethMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Rikard LandbergDepartment of Life Sciences, Division of Food and Nutrition Science, Chalmers University of Technology, Gothenburg, Sweden.ORCID https://orcid.org/0000-0002-6399-7608
Susanna C LarssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-0118-0341
Jerzy LeppertCenter for Clinical Research, Region Västmanland, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0003-1433-0329
Marina Mola-CaminalMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.
Erika OlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0001-6811-829X
Sergi Sayols-BaixerasMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden.ORCID https://orcid.org/0000-0002-1181-6262
Agneta ÅkessonUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-9594-4140
Alicja WolkUnit of Cardiovascular and Nutritional Epidemiology, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden.ORCID https://orcid.org/0000-0001-7387-6845
Karl MichaëlssonMedical Epidemiology, Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. karl.michaelsson@uu.se.ORCID http://orcid.org/0000-0003-2815-1217

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Swedish Infrastructure for Medical Population-based Life-course and Environmental Research (SIMPLER) is a national research infrastructure that provides longitudinal data and biological samples to investigate how dietary, lifestyle, environmental, and genetic factors influence health and disease across the life course. SIMPLER integrates two population-based prospective cohorts: the Swedish Mammography Cohort and the Cohort of Swedish Men. Baseline data were collected between 1987 and 1990 among 61,433 women and in 1997 among 45,906 men residing in central Sweden. Participants have completed repeated questionnaires on diet, lifestyle, and health approximately every ten years, complemented by linkage to national health registers providing information on diagnoses, mortality, prescribed medications, and socioeconomic status. Two comprehensive subcohorts nested within the cohorts (n = 8046 women, n = 4773 men) provide data from detailed health examinations, questionnaires, and repeated collection of blood, saliva, urine, stool, and adipose tissue biopsy samples. Multi-omics data are available for approximately 12,800 participants, and genomic data for about 51,000 individuals. By integrating long-term questionnaire data, register linkages, and extensive biological sampling, SIMPLER supports research on disease prevention, biomarker discovery, and precision health strategies.

Indexed as

Cohort of Swedish MenCohort studyDiet and lifestyleMulti-omicsRegister dataSwedish Mammography Cohort

Identifiers

PMID42862264

What OpenQuestion holds

Textmetadata
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.