Evidence map›Paper›PMID 39095780›Full record

ArticleBMC public health2024

Methods and participant characteristics in the Cancer Risk in Vegetarians Consortium: a cross-sectional analysis across 11 prospective studies.

Yashvee Dunneram, Jia Yi Lee, Cody Z Watling, Gary E Fraser, Fayth Miles, Dorairaj Prabhakaran, Krithiga Shridhar, Dimple Kondal, Viswanathan Mohan, Mohammed K Ali and 22 more

Erratum issuedAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

32 authors.

Yashvee DunneramCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK. yashvee.dunneram@newcastle.ac.uk.
Jia Yi LeeCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Cody Z WatlingCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Gary E FraserCentre for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA, USA.
Fayth MilesCentre for Nutrition, Healthy Lifestyle, and Disease Prevention, School of Public Health, Loma Linda University, Loma Linda, CA, USA.
Dorairaj PrabhakaranCentre for Chronic Disease Control, New Delhi, India.
Krithiga ShridharCentre for Chronic Disease Control, New Delhi, India.
Dimple KondalCentre for Chronic Disease Control, New Delhi, India.
Viswanathan MohanMadras Diabetes Research Foundation (ICMR Center for Advanced Research On Diabetes) and Dr. Mohan's Diabetes Specialities Centre, Chennai, India.
Mohammed K AliEmory Global Diabetes Research Center, Woodruff Health Sciences Centerand, Emory University , Atlanta, GA, USA.
Kabayam M Venkat NarayanEmory Global Diabetes Research Center, Woodruff Health Sciences Centerand, Emory University , Atlanta, GA, USA.
Nikhil TandonDepartment of Endocrinology, All India Institute of Medical Sciences, New Delhi, India.
Tammy Y N TongCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Tina H T ChiuDepartment of Nutritional Science, Fu-Jen Catholic University, New Taipei City, Taiwan.
Ming-Nan LinDepartment of Family Medicine, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, 622, Taiwan.
Chin-Lon LinBuddhist Tzu Chi Medical Foundation, Hualien City, Taiwan.
Hsin-Chou YangInstitute of Statistical Science, Academia Sinica, Taipei City, Taiwan.
Yu-Jen LiangInstitute of Statistical Science, Academia Sinica, Taipei City, Taiwan.
Darren C GreenwoodSchool of Medicine, University of Leeds, Leeds, UK.
Huaidong DuClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK.
Zhengming ChenClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK.
Canqing YuDepartment of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, China.
Maria G KakkouraClinical Trial Service Unit & Epidemiological Studies Unit, Nuffield, Department of Population Health , University of Oxford, Oxford, UK.
Gillian K ReevesCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Keren PapierCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Sarah FloudCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Erikka LoftfieldDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Janet E CadeNutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK.
Timothy J KeyCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK. tim.key@ndph.ox.ac.uk.
Aurora Perez-CornagoCancer Epidemiology Unit,Nuffield, Department of Population Health , University of Oxford, Oxford, OX3 7LF, UK.

Funding

Prospective Studies of Diet and Cancer in the AARP CohortZIACP010196 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$21.0M
6 · The paper itself

Abstract

backgroundThe associations of vegetarian diets with risks for site-specific cancers have not been estimated reliably due to the low number of vegetarians in previous studies. Therefore, the Cancer Risk in Vegetarians Consortium was established. The aim is to describe and compare the baseline characteristics between non-vegetarian and vegetarian diet groups and between the collaborating studies.

methodsWe harmonised individual-level data from 11 prospective cohort studies from Western Europe, North America, South Asia and East Asia. Comparisons of food intakes, sociodemographic and lifestyle factors were made between diet groups and between cohorts using descriptive statistics.

results2.3 million participants were included; 66% women and 34% men, with mean ages at recruitment of 57 (SD: 7.8) and 57 (8.6) years, respectively. There were 2.1 million meat eaters, 60,903 poultry eaters, 44,780 pescatarians, 81,165 vegetarians, and 14,167 vegans. Food intake differences between the diet groups varied across the cohorts; for example, fruit and vegetable intakes were generally higher in vegetarians than in meat eaters in all the cohorts except in China. BMI was generally lower in vegetarians, particularly vegans, except for the cohorts in India and China. In general, but with some exceptions, vegetarians were also more likely to be highly educated and physically active and less likely to smoke. In the available resurveys, stability of diet groups was high in all the cohorts except in China.

conclusionsFood intakes and lifestyle factors of both non-vegetarians and vegetarians varied markedly across the individual cohorts, which may be due to differences in both culture and socioeconomic status, as well as differences in questionnaire design. Therefore, care is needed in the interpretation of the impacts of vegetarian diets on cancer risk.

Indexed as

Diet, VegetarianNeoplasmsAdultAgedCross-Sectional StudiesEuropeFemaleHumansLife StyleMaleMiddle AgedProspective StudiesRisk FactorsVegetariansConsortiumMeat eatersPescatariansPoultry eatersVegansVegetarians

Identifiers

PMID39095780
PMCPMC11296327

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.