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Feng Q, Kim JH, Xie J, Bešević J, Conroy M, Omiyale W, Wu Y, Woodward M, Lacey B, Allen N. Use of Sex-Specific Body Mass Index to Optimize Low Correlation With Height and High Correlation With Fatness: A UK Biobank Study. Am J Epidemiol 2024; 193:296-307. [PMID: 37814392 PMCID: PMC10840076 DOI: 10.1093/aje/kwad195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 07/21/2023] [Accepted: 10/05/2023] [Indexed: 10/11/2023] Open
Abstract
Body mass index (BMI; weight (kg)/height (m)2) is commonly used to measure general adiposity. However, evidence of its appropriateness for males and females remains inconsistent. We aimed to identify the most appropriate sex-specific power value that height should be raised to in the formula and the value that would make it achieve height independency and body fatness dependency. We randomly assigned UK Biobank participants recruited in the United Kingdom between 2006 and 2010 (n = 489,873; mean age = 56.5 years; 94.2% White) to training and testing sets (80%:20%). Using height raised to the power of -50.00 to 50.00, we identified the optimal power value that either minimized correlation with height or maximized correlation with body fat percentage, using age-adjusted correlations. The optimal power values for height were 1.77 for males and 1.39 for females. The new formulas resulted in 4.5% of females and 2.4% of males being reclassified into a different BMI category. The formulas did not show significant improvement (in terms of area under the receiver operating characteristic curve, sensitivity, and specificity) in identifying individuals with excessive body fat percentage or in predicting risk of all-cause mortality. Therefore, the conventional BMI formula is still valuable in research and disease screening for both sexes.
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Affiliation(s)
- Qi Feng
- Correspondence to Dr. Qi Feng, Nuffield Department of Population Health, Medical Sciences Division, University of Oxford, Old Road Campus, Headington, Oxford OX3 7LF, United Kingdom (e-mail: )
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Omiyale W, Holliday J, Doherty N, Callen H, Wood N, Horn E, Burnett F, Young A, Lewington S, Fry D, Bešević J, Conroy M, Sheard S, Feng Q, Welsh S, Effingham M, Young A, Collins R, Lacey B, Allen N. Social determinants of ethnic disparities in SARS-CoV-2 infection: UK Biobank SARS-CoV-2 Serology Study. J Epidemiol Community Health 2023; 78:3-10. [PMID: 37699665 PMCID: PMC10715462 DOI: 10.1136/jech-2023-220353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 08/25/2023] [Indexed: 09/14/2023]
Abstract
BACKGROUND The social determinants of ethnic disparities in risk of SARS-CoV-2 infection during the first wave of the pandemic in the UK remain unclear. METHODS In May 2020, a total of 20 195 adults were recruited from the general population into the UK Biobank SARS-CoV-2 Serology Study. Between mid-May and mid-November 2020, participants provided monthly blood samples. At the end of the study, participants completed a questionnaire on social factors during different periods of the pandemic. Logistic regression yielded ORs for the association between ethnicity and SARS-CoV-2 immunoglobulin G antibodies (indicating prior infection) using blood samples collected in July 2020, immediately after the first wave. RESULTS After exclusions, 14 571 participants (mean age 56; 58% women) returned a blood sample in July, of whom 997 (7%) had SARS-CoV-2 antibodies. Seropositivity was strongly related to ethnicity: compared with those of White ethnicity, ORs (adjusted for age and sex) for Black, South Asian, Chinese, Mixed and Other ethnic groups were 2.66 (95% CI 1.94-3.60), 1.66 (1.15-2.34), 0.99 (0.42-1.99), 1.42 (1.03-1.91) and 1.79 (1.27-2.47), respectively. Additional adjustment for social factors reduced the overall likelihood ratio statistics for ethnicity by two-thirds (67%; mostly from occupational factors and UK region of residence); more precise measurement of social factors may have further reduced the association. CONCLUSIONS This study identifies social factors that are likely to account for much of the ethnic disparities in SARS-CoV-2 infection during the first wave in the UK, and highlights the particular relevance of occupation and residential region in the pathway between ethnicity and SARS-CoV-2 infection.
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Affiliation(s)
- Wemimo Omiyale
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Jo Holliday
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | | | - Howard Callen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Natasha Wood
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Edward Horn
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Frances Burnett
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Allen Young
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Sarah Lewington
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- MRC Population Health Research Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Jelena Bešević
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Megan Conroy
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | - Qi Feng
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | | | | | - Alan Young
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Rory Collins
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Ben Lacey
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Naomi Allen
- Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
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Bešević J, Lacey B, Callen H, Omiyale W, Conroy M, Feng Q, Crook DW, Doherty N, Ebner D, Eyre DW, Fry D, Horn E, Jones EY, Marsden BD, Peto TEA, Starkey F, Stuart D, Welsh S, Wood N, Young A, Young A, Effingham M, Collins R, Holliday J, Allen N. Persistence of SARS-CoV-2 antibodies over 18 months following infection: UK Biobank COVID-19 Serology Study. J Epidemiol Community Health 2023; 78:jech-2023-220569. [PMID: 37923370 PMCID: PMC10850672 DOI: 10.1136/jech-2023-220569] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 10/08/2023] [Indexed: 11/07/2023]
Abstract
BACKGROUND Little is known about the persistence of antibodies after the first year following SARS-CoV-2 infection. We aimed to determine the proportion of individuals that maintain detectable levels of SARS-CoV-2 antibodies over an 18-month period following infection. METHODS Population-based prospective study of 20 000 UK Biobank participants and their adult relatives recruited in May 2020. The proportion of SARS-CoV-2 cases testing positive for immunoglobulin G (IgG) antibodies against the spike protein (IgG-S), and the nucleocapsid protein (IgG-N), was calculated at varying intervals following infection. RESULTS Overall, 20 195 participants were recruited. Their median age was 56 years (IQR 39-68), 56% were female and 88% were of white ethnicity. The proportion of SARS-CoV-2 cases with IgG-S antibodies following infection remained high (92%, 95% CI 90%-93%) at 6 months after infection. Levels of IgG-N antibodies following infection gradually decreased from 92% (95% CI 88%-95%) at 3 months to 72% (95% CI 70%-75%) at 18 months. There was no strong evidence of heterogeneity in antibody persistence by age, sex, ethnicity or socioeconomic deprivation. CONCLUSION This study adds to the limited evidence on the long-term persistence of antibodies following SARS-CoV-2 infection, with likely implications for waning immunity following infection and the use of IgG-N in population surveys.
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Affiliation(s)
- Jelena Bešević
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Ben Lacey
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Howard Callen
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Wemimo Omiyale
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Megan Conroy
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Qi Feng
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Derrick W Crook
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | | | - Daniel Ebner
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | - David W Eyre
- University of Oxford Big Data Institute, Oxford, UK
| | | | - Edward Horn
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - E Yvonne Jones
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | - Brian D Marsden
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | - Tim E A Peto
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | - Fenella Starkey
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - David Stuart
- Nuffield Department of Medicine (NDM), University of Oxford, Oxford, UK
| | | | - Natasha Wood
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Alan Young
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Allen Young
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | | | - Rory Collins
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
| | - Jo Holliday
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Naomi Allen
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- UK Biobank, Stockport, UK
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Feng Q, Grant AJ, Yang Q, Burgess S, Bešević J, Conroy M, Omiyale W, Sun Y, Allen N, Lacey B. Genetically Predicted Vegetable Intake and Cardiovascular Diseases and Risk Factors: An Investigation with Mendelian Randomization. Nutrients 2023; 15:3682. [PMID: 37686714 PMCID: PMC10490460 DOI: 10.3390/nu15173682] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Revised: 08/17/2023] [Accepted: 08/19/2023] [Indexed: 09/10/2023] Open
Abstract
BACKGROUND The associations between vegetable intake and cardiovascular diseases have been demonstrated in observational studies, but less sufficiently in randomized trials. Mendelian randomization has been considered a promising alternative in causal inference. The separate effects of cooked and raw vegetable intake remain unclear. This study aimed to investigate the associations between cooked and raw vegetable intake with cardiovascular outcomes using MR. METHODS We identified 15 and 28 genetic variants statistically and biologically associated with cooked and raw vegetable intake, respectively, from previous genome-wide association studies, which were used as instrumental variables to estimate associations with coronary heart disease (CHD), stroke, heart failure (HF), and atrial fibrillation (AF). The independent effects of genetically predicted cooked and raw vegetable intake were examined using multivariable MR analysis. We performed one-sample and two-sample MR analyses and combined their results using meta-analysis. Bonferroni correction was applied for multiple comparisons. We performed two-sample MR analysis for cardiometabolic risk factors (serum lipids, blood pressure, body mass index, and glycemic traits) to explore the potential mechanisms. RESULTS In the MR meta-analysis of 1.2 million participants, we found null evidence for associations between genetically predicted cooked and raw vegetable intake with CHD, HF, or AF. Raw vegetable intake was nominally associated with stroke (odds ratio [95% confidence interval] 0.82 [0.69-0.98] per 1 daily serving increase, p = 0.03), but this association did not pass the corrected significance level. We found consistently null evidence for associations with serum lipids, blood pressure, body mass index, or glycemic traits. CONCLUSIONS We found null evidence for associations between genetically predicted vegetable intake with CHD, AF, HF, or cardiometabolic risk factors in this MR study. Raw vegetable intake may reduce risk of stroke, but this warrants more research. True associations between vegetable intake and CVDs cannot be completely ruled out, and future investigations are required for causal inference in nutritional research.
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Affiliation(s)
- Qi Feng
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Andrew J. Grant
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Qian Yang
- MRC Integrative Epidemiology, University of Bristol, Bristol BS1 3NY, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS1 3NY, UK
| | - Stephen Burgess
- MRC Biostatistics Unit, University of Cambridge, Cambridge CB2 0SZ, UK
| | - Jelena Bešević
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Megan Conroy
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Wemimo Omiyale
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Yangbo Sun
- Department of Preventive Medicine, The University of Tennessee Health Science Center, Memphis, TN 38163, USA
| | - Naomi Allen
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
| | - Ben Lacey
- Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK
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Conroy MC, Lacey B, Bešević J, Omiyale W, Feng Q, Effingham M, Sellers J, Sheard S, Pancholi M, Gregory G, Busby J, Collins R, Allen NE. UK Biobank: a globally important resource for cancer research. Br J Cancer 2023; 128:519-527. [PMID: 36402876 PMCID: PMC9938115 DOI: 10.1038/s41416-022-02053-5] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 10/26/2022] [Accepted: 10/27/2022] [Indexed: 11/21/2022] Open
Abstract
UK Biobank is a large-scale prospective study with deep phenotyping and genomic data. Its open-access policy allows researchers worldwide, from academia or industry, to perform health research in the public interest. Between 2006 and 2010, the study recruited 502,000 adults aged 40-69 years from the general population of the United Kingdom. At enrolment, participants provided information on a wide range of factors, physical measurements were taken, and biological samples (blood, urine and saliva) were collected for long-term storage. Participants have now been followed up for over a decade with more than 52,000 incident cancer cases recorded. The study continues to be enhanced with repeat assessments, web-based questionnaires, multi-modal imaging, and conversion of the stored biological samples to genomic and other '-omic' data. The study has already demonstrated its value in enabling research into the determinants of cancer, and future planned enhancements will make the resource even more valuable to cancer researchers. Over 26,000 researchers worldwide are currently using the data, performing a wide range of cancer research. UK Biobank is uniquely placed to transform our understanding of the causes of cancer development and progression, and drive improvements in cancer treatment and prevention over the coming decades.
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Affiliation(s)
- Megan C Conroy
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK.
| | - Ben Lacey
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Jelena Bešević
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Wemimo Omiyale
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | - Qi Feng
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
| | | | | | | | | | | | - John Busby
- UK Biobank, Stockport, Greater Manchester, UK
| | - Rory Collins
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
- UK Biobank, Stockport, Greater Manchester, UK
| | - Naomi E Allen
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, UK
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Dimou N, Omiyale W, Biessy C, Viallon V, Kaaks R, O'Mara TA, Aglago EK, Ardanaz E, Bergmann MM, Bondonno NP, Braaten T, Colorado-Yohar SM, Crous-Bou M, Dahm CC, Fortner RT, Gram IT, Harlid S, Heath AK, Idahl A, Kvaskoff M, Nøst TH, Overvad K, Palli D, Perez-Cornago A, Sacerdote C, Sánchez MJ, Schulze MB, Severi G, Simeon V, Tagliabue G, Tjønneland A, Truong T, Tumino R, Johansson M, Weiderpass E, Murphy N, Gunter MJ, Lacey B, Allen NE, Dossus L. Cigarette Smoking and Endometrial Cancer Risk: Observational and Mendelian Randomization Analyses. Cancer Epidemiol Biomarkers Prev 2022; 31:1839-1848. [PMID: 35900194 PMCID: PMC9437565 DOI: 10.1158/1055-9965.epi-21-1176] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 01/28/2022] [Accepted: 06/16/2022] [Indexed: 01/07/2023] Open
Abstract
BACKGROUND Current epidemiologic evidence indicates that smoking is associated with a lower endometrial cancer risk. However, it is unknown if this association is causal or confounded. To further elucidate the role of smoking in endometrial cancer risk, we conducted complementary observational and Mendelian randomization (MR) analyses. METHODS The observational analyses included 286,415 participants enrolled in the European Prospective Investigation into Cancer and Nutrition and 179,271 participants in the UK Biobank, and multivariable Cox proportional hazards models were used. In two-sample MR analyses, genetic variants robustly associated with lifetime amount of smoking (n = 126 variants) and ever having smoked regularly (n = 112 variants) were selected and their association with endometrial cancer risk (12,906 cancer/108,979 controls from the Endometrial Cancer Association Consortium) was examined. RESULTS In the observational analysis, lifetime amount of smoking and ever having smoked regularly were associated with a lower endometrial cancer risk. In the MR analysis accounting for body mass index, a genetic predisposition to a higher lifetime amount of smoking was not associated with endometrial cancer risk (OR per 1-SD increment: 1.15; 95% confidence interval: 0.91-1.44). Genetic predisposition to ever having smoked regularly was not associated with risk of endometrial cancer. CONCLUSIONS Smoking was inversely associated with endometrial cancer in the observational analyses, although unsupported by the MR. Additional studies are required to better understand the possible confounders and mechanisms underlying the observed associations between smoking and endometrial cancer. IMPACT The results from this analysis indicate that smoking is unlikely to be causally linked with endometrial cancer risk.
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Affiliation(s)
- Niki Dimou
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Wemimo Omiyale
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Carine Biessy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Vivian Viallon
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Rudolf Kaaks
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Tracy A. O'Mara
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia
| | - Elom K. Aglago
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Eva Ardanaz
- Navarra Public Health Institute, Pamplona, Spain
- IdiSNA, Navarra Institute for Health Research, Pamplona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
| | | | | | - Tonje Braaten
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sandra M. Colorado-Yohar
- CIBER Epidemiología y Salud Pública (CIBERESP), Spain
- Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain
- Research Group on Demography and Health, National Faculty of Public Health, University of Antioquia, Medellín, Colombia
| | - Marta Crous-Bou
- Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology (ICO) - Bellvitge Biomedical Research Institute (IDIBELL), L'Hospitalet de Llobregat, Barcelona, Spain
- Department of Epidemiology, Harvard T.H. Chan School of Public Health. Boston, Massachusetts
| | | | - Renée T. Fortner
- Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Inger T. Gram
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
| | - Sophia Harlid
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Alicia K. Heath
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
| | - Annika Idahl
- Department of Clinical Sciences, Obstetrics and Gynecology, Umeå University, Umeå, Sweden
| | - Marina Kvaskoff
- Université Paris-Saclay, UVSQ, Inserm CESP U1018, "Exposome and Heredity" Team, Gustave Roussy, Villejuif, France
| | - Therese H. Nøst
- Department of Community Medicine, Faculty of Health Sciences, UiT The Arctic University of Norway, Tromsø, Norway
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Kim Overvad
- Department of Public Health, Aarhus University, Aarhus, Denmark
| | - Domenico Palli
- Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network (ISPRO), Florence, Italy
| | - Aurora Perez-Cornago
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Carlotta Sacerdote
- Unit of Cancer Epidemiology, Città della Salute e della Scienza University-Hospital, Turin, Italy
| | - Maria-Jose Sánchez
- Escuela Andaluza de Salud Pública (EASP), Granada, Spain
- Instituto de Investigación Biosanitaria ibs.GRANADA, Granada, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Department of Preventive Medicine and Public Health, University of Granada, Granada, Spain
| | - Matthias B. Schulze
- Department of Molecular Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke, Nuthetal, Germany
- Institute of Nutritional Science, University of Potsdam, Potsdam, Germany
| | - Gianluca Severi
- Université Paris-Saclay, UVSQ, Inserm CESP U1018, "Exposome and Heredity" Team, Gustave Roussy, Villejuif, France
- Department of Statistics, Computer Science, Applications "G. Parenti", University of Florence, Florence, Italy
| | - Vittorio Simeon
- Dipartimento di Salute Mentale e Fisica e Medicina Preventiva, University of Naples "L. Vanvitelli", Naples, Italy
| | - Giovanna Tagliabue
- Department of Research, Fondazione IRCCS Istituto Nazionale dei Tumori Via Venezian 1, Milan, Italy
| | - Anne Tjønneland
- Department of Public Health, University of Copenhagen, Copenhagen, Denmark
| | - Thérèse Truong
- Université Paris-Saclay, UVSQ, Inserm CESP U1018, "Exposome and Heredity" Team, Gustave Roussy, Villejuif, France
| | - Rosario Tumino
- Hyblean Association for Epidemiological Research, AIRE-ONLUS, Ragusa, Italy
| | - Mattias Johansson
- Section of Genetics, International Agency for Research on Cancer, Lyon, France
| | - Elisabete Weiderpass
- Office of the Director, International Agency for Research on Cancer, World Health Organization, Lyon, France
| | - Neil Murphy
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Marc J. Gunter
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
| | - Ben Lacey
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Naomi E. Allen
- Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Laure Dossus
- Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France
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Bešević J, Lacey B, Conroy M, Omiyale W, Feng Q, Collins R, Allen N. New Horizons: the value of UK Biobank to research on endocrine and metabolic disorders. J Clin Endocrinol Metab 2022; 107:2403-2410. [PMID: 35793237 PMCID: PMC9387695 DOI: 10.1210/clinem/dgac407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Indexed: 11/24/2022]
Abstract
UK Biobank is an intensively characterized prospective study of 500 000 men and women, aged 40 to 69 years when recruited, between 2006 and 2010, from the general population of the United Kingdom. Established as an open-access resource for researchers worldwide to perform health research that is in the public interest, UK Biobank has collected (and continues to collect) a vast amount of data on genetic, physiological, lifestyle, and environmental factors, with prolonged follow-up of heath conditions through linkage to administrative electronic health records. The study has already demonstrated its unique value in enabling research into the determinants of common endocrine and metabolic diseases. The importance of UK Biobank, heralded as a flagship project for UK health research, will only increase over time as the number of incident disease events accrue, and the study is enhanced with additional data from blood assays (such as whole-genome sequencing, metabolomics, and proteomics), wearable technologies (including physical activity and cardiac monitors), and body imaging (magnetic resonance imaging and dual-energy X-ray absorptiometry). This unique research resource is likely to transform our understanding of the causes, diagnosis, and treatment of many endocrine and metabolic disorders.
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Affiliation(s)
- Jelena Bešević
- Correspondence: Jelena Bešević, PhD, Oxford Population Health (Nuffield Department of Population Health), Big Data Institute Building, University of Oxford, UK.
| | - Ben Lacey
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
| | - Megan Conroy
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
| | - Wemimo Omiyale
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
| | - Qi Feng
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
| | - Rory Collins
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
- UK Biobank, Stockport, Greater Manchester, UK
| | - Naomi Allen
- Oxford Population Health (Nuffield Department of Population Health), University of Oxford
- UK Biobank, Stockport, Greater Manchester, UK
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Feng Q, Kim JH, Omiyale W, Bešević J, Conroy M, May M, Yang Z, Wong SYS, Tsoi KKF, Allen N, Lacey B. Raw and Cooked Vegetable Consumption and Risk of Cardiovascular Disease: A Study of 400,000 Adults in UK Biobank. Front Nutr 2022; 9:831470. [PMID: 35265657 PMCID: PMC8901125 DOI: 10.3389/fnut.2022.831470] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
Objectives Higher levels of vegetable consumption have been associated with a lower risk of cardiovascular disease (CVD), but the independent effect of raw and cooked vegetable consumption remains unclear. Methods From the UK Biobank cohort, 399,586 participants without prior CVD were included in the analysis. Raw and cooked vegetable intakes were measured with a validated dietary questionnaire at baseline. Multivariable Cox regression was used to estimate the associations between vegetable intake and CVD incidence and mortality, adjusted for socioeconomic status, health status, and lifestyle factors. The potential effect of residual confounding was assessed by calculating the percentage reduction in the likelihood ratio (LR) statistics after adjustment for the confounders. Results The mean age was 56 years and 55% were women. Mean intakes of raw and cooked vegetables were 2.3 and 2.8 tablespoons/day, respectively. During 12 years of follow-up, 18,052 major CVD events and 4,406 CVD deaths occurred. Raw vegetable intake was inversely associated with both CVD incidence (adjusted hazard ratio (HR) [95% CI] for the highest vs. lowest intake: 0.89 [0.83–0.95]) and CVD mortality (0.85 [0.74–0.97]), while cooked vegetable intake was not (1.00 [0.91–1.09] and 0.96 [0.80–1.13], respectively). Adjustment for potential confounders reduced the LR statistics for the associations of raw vegetables with CVD incidence and mortality by 82 and 87%, respectively. Conclusions Higher intakes of raw, but not cooked, vegetables were associated with lower CVD risk. Residual confounding is likely to account for much, if not all, of the observed associations. This study suggests the need to reappraise the evidence on the burden of CVD disease attributable to low vegetable intake in the high-income populations.
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Affiliation(s)
- Qi Feng
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- *Correspondence: Qi Feng
| | - Jean H. Kim
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Wemimo Omiyale
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
| | - Jelena Bešević
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
| | - Megan Conroy
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
| | - Margaret May
- Population Health Sciences, University of Bristol, Bristol, United Kingdom
| | - Zuyao Yang
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Samuel Yeung-shan Wong
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Kelvin Kam-fai Tsoi
- JC School of Public Health and Primary Care, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
- SH Big Data Decision Analytics Research Centre, The Chinese University of Hong Kong, Shatin, Hong Kong SAR, China
| | - Naomi Allen
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
| | - Ben Lacey
- Nuffield Department of Population Health (NDPH), University of Oxford, Oxford, United Kingdom
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Omiyale W, Allen NE, Sweetland S. Body size, body composition and endometrial cancer risk among postmenopausal women in UK Biobank. Int J Cancer 2020; 147:2405-2415. [PMID: 32338769 DOI: 10.1002/ijc.33023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Revised: 04/07/2020] [Accepted: 04/17/2020] [Indexed: 12/22/2022]
Abstract
Previous studies on the association of adiposity with endometrial cancer risk have mostly used body mass index (BMI) as the main exposure of interest. Whether more precise measures of body fat, such as body fat percentage and fat mass estimated by bioimpedance analyses, are better indicators of risk than BMI is unknown. The role of central adiposity and fat-free mass in endometrial cancer development remains unclear. We used Cox regression models to estimate hazard ratios (HR) and corresponding 95% confidence intervals (CI) for the associations of various measures of body size/composition with the risk of endometrial cancer among 135 110 postmenopausal women enrolled in UK Biobank. During a mean follow up of 6.8 years, 706 endometrial cancers were diagnosed, with a mean age at diagnosis of 65.5 years. The HRs (95% CIs) for endometrial cancer per 1 SD increase in BMI, body fat percentage and fat mass were broadly comparable, being 1.71 (1.61-1.82), 1.92 (1.75-2.11) and 1.73 (1.63-1.85), respectively. There was an indication of positive association between central adiposity, as reflected by waist circumference (HRper 1-SD increase = 1.08, 95% CI: 1.00-1.17) and waist to hip ratio (HRper 1-SD increase = 1.13, 95% CI: 1.01-1.26), and endometrial cancer risk after accounting for BMI. Fat-free mass was not an independent predictor of risk in this cohort. These findings suggest that body fat percentage and fat mass are not better indicators of endometrial cancer risk than BMI. Further studies are needed to establish whether central adiposity contributes to risk beyond overall adiposity.
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Affiliation(s)
- Wemimo Omiyale
- Clinical Trial Service and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
| | - Naomi E Allen
- Clinical Trial Service and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
- UK Biobank Ltd, Stockport, UK
| | - Siân Sweetland
- Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK
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Rahamon SK, Fabian UA, Charles-Davies MA, Olaniyi JA, Fasanmade AA, Akinlade KS, Oyewole OE, Owolabi MO, Adebusuyi JR, Hassan OO, Ajobo BM, Ebesunun MO, Adigun K, Popoola OO, Omiyale W, Arinola OG, Agbedana EO. Changes in mediators of inflammation and pro-thrombosis after 12 months of dietary modification in adults with metabolic syndrome. Afr Health Sci 2017; 17:453-462. [PMID: 29062341 DOI: 10.4314/ahs.v17i2.20] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
OBJECTIVE This study evaluated the effects of a 12-month dietary modification on indices of inflammation and pro-thrombosis in adults with metabolic syndrome (MS). MATERIALS AND METHODS This longitudinal study involved 252 adults with MS recruited from the Bodija market, Ibadan and its environs. Participants were placed on 20%, 30% and 50% calories obtained from protein, total fat and carbohydrate respectively and were followed up monthly for 12 months. Anthropometry and blood pressure were measured using standard methods. Fasting plasma glucose (FPG), total cholesterol (TC), triglycerides (TG), high density lipoprotein-cholesterol (HDL-C), fibrinogen, plasminogen activator inhibitor-1 (PAI-1)], interleukin-6 (IL-6) and interleukin-10 (IL-10) were measured using spectrophotometric methods and ELISA as appropriate. Data was analysed using ANCOVA, Student's t-test, Mann-Whitney U and Wilcoxon signed-rank tests. P-values less than 0.05 were considered significant. RESULTS After 6 months of dietary modification, there was a significant reduction in waist circumference (WC), while the levels of HDL-C, fibrinogen and PAI-1 were significantly increased when compared with the corresponding baseline values. However, WC and fibrinogen reduced significantly, while HDL-C and IL-10 significantly increased after 12 months of dietary modification as compared with the respective baseline values. CONCLUSION Long-term regular dietary modification may be beneficial in ameliorating inflammation and pro-thrombosis in metabolic syndrome.
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Affiliation(s)
- S K Rahamon
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - U A Fabian
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - M A Charles-Davies
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - J A Olaniyi
- Department of Haematology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - A A Fasanmade
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - K S Akinlade
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - O E Oyewole
- Department of Health Promotion and Education, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - M O Owolabi
- Department of Haematology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - J R Adebusuyi
- Department of Medical Social Services, University College Hospital, Ibadan, Nigeria
| | - O O Hassan
- Department of Medical Social Services, University College Hospital, Ibadan, Nigeria
| | - B M Ajobo
- Dietetics Department, University College Hospital, Ibadan, Nigeria
| | - M O Ebesunun
- Department of Chemical Pathology, College of Health Sciences, Olabisi Onabanjo University, Ago-Iwoye, Nigeria
| | - K Adigun
- Department of Family Medicine, University College Hospital, Ibadan, Nigeria
| | - O O Popoola
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - W Omiyale
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - O G Arinola
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - E O Agbedana
- Department of Chemical Pathology, College of Medicine, University of Ibadan, Ibadan, Nigeria
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