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Comparison of risk factor associations in UK Biobank against representative, general population based studies with conventional response rates: prospective cohort study and individual participant meta-analysis
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OBJECTIVE: To compare established associations between risk factors and mortality in UK Biobank, a study with an exceptionally low rate of response to its baseline survey, against those from representative studies that have conventional response rates. DESIGN: Prospective cohort study alongside individual participant meta-analysis of other cohort studies. SETTING: United Kingdom. PARTICIPANTS: Analytical sample of 499 701 people (response rate 5.5%) in analyses in UK Biobank; pooled data from the Health Surveys for England (HSE) and the Scottish Health Surveys (SHS), including 18 studies and 89 895 people (mean response rate 68%). Both study populations were linked to the same nationwide mortality registries, and the baseline age range was aligned at 40-69 years. MAIN OUTCOME MEASURE: Death from cardiovascular disease, selected malignancies, and suicide. To quantify the difference between hazard ratios in the two studies, a ratio of the hazard ratios was used with HSE-SHS as the referent. RESULTS: Risk factor levels and mortality rates were typically more favourable in UK Biobank participants relative to the HSE-SHS consortium. For the associations between risk factors and mortality endpoints, however, close agreement was seen between studies. Based on 14 288 deaths during an average of 7.0 years of follow-up in UK Biobank and 7861 deaths over 10 years of mortality surveillance in HSE-SHS, for cardiovascular disease mortality, for instance, the age and sex adjusted hazard ratio for ever having smoked cigarettes (versus never) was 2.04 (95% confidence interval 1.87 to 2.24) in UK Biobank and 1.99 (1.78 to 2.23) in HSE-SHS, yielding a ratio of hazard ratios close to unity (1.02, 0.88 to 1.19). The overall pattern of agreement between studies was essentially unchanged when results were compared separately by sex and when baseline years and censoring dates were aligned. CONCLUSION: Despite a very low response rate, risk factor associations in the UK Biobank seem to be generalisable.
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“A previous analysis, however, revealed that the exposure-outcome associations of the UK Biobank are comparable to observations from other more representative samples.43”
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Citations
Cites
Regression Models and Life-Tables
Cox, D. R. (1972) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1972.tb00899.x · Cited by 39,793
Regression Models and Life-Tables
Cox, D. R. (1992) · Springer Series in Statistics · doi:10.1007/978-1-4612-4380-9_37 · Cited by 26,297
Chobanian, A. V. (2003) · JAMA · doi:10.1001/jama.289.19.2560 · Cited by 25,386
Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., et al. (2015) · PLOS Medicine · doi:10.1371/journal.pmed.1001779 · Cited by 12,728
Fry, A., Littlejohns, T. J., Sudlow, C., Doherty, N., Adamska, L., Sprosen, T., Collins, R., & Allen, N. E. (2017) · American Journal of Epidemiology · doi:10.1093/aje/kwx246 · Cited by 3,979
Global Burden of Cardiovascular Diseases
Yusuf, S., Reddy, S., Ôunpuu, S., & Anand, S. S. (2001) · Circulation · doi:10.1161/hc4601.099487 · Cited by 3,014
Yusuf, S., Joseph, P., Rangarajan, S., Islam, S., Mente, A., Hystad, P., Brauer, M., Kutty, V. R., Gupta, R., Wielgosz, A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(19)32008-2 · Cited by 2,017
Response Rates and Responsiveness for Surveys, Standards, and the Journal
Fincham, J. E. (2008) · American Journal of Pharmaceutical Education · doi:10.5688/aj720243 · Cited by 1,300
Association of cardiometabolic multimorbidity with mortality
Di Angelantonio, E., Kaptoge, S., Wormser, D., Willeit, P., Butterworth, A. S., Bansal, N., O’Keeffe, L. M., Gao, P., Wood, A. M., Burgess, S., et al. (2015) · JAMA · doi:10.1001/jama.2015.7008 · Cited by 1,155
What makes UK Biobank special?
Collins, R. (2012) · The Lancet · doi:10.1016/s0140-6736(12)60404-8 · Cited by 1,128
Flagged first, then by citations
1 of the 59 references couldn’t be matched to a known paper.
Research works printed but not linked: 3
- World Health Organization, 2008, Waist circumference and waist-hip ratio - Report of a WHO Expert Consultation, Geneva, 8-11 December 2008.
- World Health Organization, 1995, Physical status: the use and interpretation of anthropometry: report of a WHO expert committee. Who Tech. Rep. Ser.
- Bolling, 1994, The Dinamap 8100 Calibration Study.
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Sorted by citations
Items 201–300 of 637
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Parra-Soto, S. L., Boonpor, J., Lynskey, N., Araya, C., Ho, F. K. W., Pell, J. P., & Celis-Morales, C. A. (2024) · Cancer · doi:10.1002/cncr.35576 · Cited by 24
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Boonpor, J., Petermann-Rocha, F. E., Parra-Soto, S. L., Pell, J. P., Gray, S. R., Celis-Morales, C. A., & Ho, F. K. W. (2022) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14711 · Cited by 23
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Kuo, C., Liu, P., Drouard, G., Vuoksimaa, E., Kaprio, J. A., Ollikainen, M., Chen, Z., Pilling, L. C., Atkins, J. L., Fortinsky, R. H., et al. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2414086122 · Cited by 24
Rezaee, M., Putrenko, I., Takeh, A., Ganna, A., & Ingelsson, E. (2020) · PLoS ONE · doi:10.1371/journal.pone.0235758 · Cited by 23
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Chen, R., Xu, J., Shang, X., Bulloch, G., He, M., Wang, W., & Zhu, Z. (2023) · GeroScience · doi:10.1007/s11357-023-00743-3 · Cited by 23
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Lu, X., Zhu, X., Li, G., Wu, L., Shao, L., Fan, Y., Pan, C., Wu, Y., Borné, Y., & Ke, C. (2024) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/clinem/dgae552 · Cited by 22
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Watling, C. Z., Kelly, R. K., Dunneram, Y., Knüppel, A., Piernas, C., Schmidt, J. A., Travis, R. C., Key, T. J., & Perez‐Cornago, A. (2023) · British Journal of Cancer · doi:10.1038/s41416-023-02339-2 · Cited by 22
Sha, S., Chen, L., Brenner, H., & Schöttker, B. (2023) · European Journal of Cancer · doi:10.1016/j.ejca.2023.113241 · Cited by 22
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Wang, Y., Alcalde‐Herraiz, M., López‐Güell, K., Chen, L., Mateu, L., Li, C., Ali, R., Wareham, N. J., Paredes, R., Prieto‐Alhambra, D., et al. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2024.105493 · Cited by 21
Yapp, E., Booth, T., Davis, K. A. S., Coleman, J. R. I., Howard, L. M., Breen, G. D., Hatch, S. L., Hotopf, M. H., & Oram, S. (2021) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-021-02092-y · Cited by 22
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Cai, N., Verhulst, B., Andreassen, O. A., Buitelaar, J. K., Edenberg, H. J., Hettema, J. M., Gandal, M. J., Grotzinger, A. D., Jonas, K. G., Lee, P., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02878-x · Cited by 18
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Crowley, P., Ikeda, E., Islam, S. M. S., Kildedal, R., Jacobsen, S. S., Larsen, J. R., Johansson, P. J., Hettiarachchi, P., Aadahl, M., Mork, P. J., et al. (2022) · JMIR Research Protocols · doi:10.2196/35697 · Cited by 19
Boonpor, J., Parra-Soto, S. L., Talebi, A., Zhou, Z., Carrasco‐Marín, F., Petermann-Rocha, F. E., Welsh, P. I., Pell, J. P., Sattar, N. A., Gill, J. M. R., et al. (2023) · Obesity · doi:10.1002/oby.23849 · Cited by 20
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Zhang, Y., Sun, Y., Song, S., Khankari, N. K., Brenna, J. T., Shen, Y., & Ye, K. (2024) · International Journal of Cancer · doi:10.1002/ijc.35226 · Cited by 19
Wang, J., Yang, R., Miao, Y., Zhang, X., Paillard‐Borg, S., Fang, Z., & Xu, W. (2025) · Liver International · doi:10.1111/liv.70109 · Cited by 18
Liu, Z., Luo, Y., Ren, J., Yang, L., Li, J., Wei, Z., He, Y., Wang, J., Li, R., He, L., et al. (2021) · International Journal of Cancer · doi:10.1002/ijc.33819 · Cited by 18
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Rowlands, A. V., Dempsey, P. C., Maylor, B. D., Razieh, C., Zaccardi, F., Davies, M. J., Khunti, K., & Yates, T. E. (2023) · Journal of Sports Sciences · doi:10.1080/02640414.2023.2209762 · Cited by 19
Harris, K., Peters, S. A. E., & Woodward, M. (2023) · Biology of Sex Differences · doi:10.1186/s13293-023-00546-3 · Cited by 18
Jiang, Z., Zhang, S., Zeng, P., & Wang, T. (2023) · BMC Public Health · doi:10.1186/s12889-023-17008-5 · Cited by 19
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Zhou, M., Liang, Y. Y., Ai, S., Feng, H., Zhou, Y., Liu, Y., Zhang, J., Jia, F., & Lei, B. (2024) · SLEEP · doi:10.1093/sleep/zsae157 · Cited by 17
Poor sleep health is associated with older brain age: the role of systemic inflammation
Miao, Y., Wang, J., Li, X., Guo, J., Ekblom, M., Sindi, S., Zhang, Q., & Dove, A. E. (2025) · EBioMedicine · doi:10.1016/j.ebiom.2025.105941 · Cited by 21
Maxwell, J. M., Russell, R. A., Wu, H. M., Sharapova, N., Banthorpe, P., O’Reilly, P. F., & Lewis, C. M. (2020) · Annals of Actuarial Science · doi:10.1017/s1748499520000226 · Cited by 18
Raisi‐Estabragh, Z., M'Charrak, A., McCracken, C., Biasiolli, L., Ardissino, M., Curtis, E. M., Aung, N., Suemoto, C. K., Mackay, C. E., Suri, S., et al. (2021) · European Heart Journal - Cardiovascular Imaging · doi:10.1093/ehjci/jeab075 · Cited by 15
Gao, L., Gaba, A., Li, P., Saxena, R., Scheer, F. A. J. L., Akeju, O., Rutter, M. K., & Hu, K. (2021) · Journal of sport and health science/Journal of Sport and Health Science · doi:10.1016/j.jshs.2021.12.002 · Cited by 18
Shi, H., Chen, L., Zhang, S., Li, R., Wu, Y., Zou, H., Wang, C., Cai, M., & Lin, H. (2023) · Ecotoxicology and Environmental Safety · doi:10.1016/j.ecoenv.2023.115126 · Cited by 17
Association of five diet scores with severe NAFLD incidence: A prospective study from UK Biobank
Petermann-Rocha, F. E., Carrasco‐Marín, F., Boonpor, J., Parra-Soto, S. L., Shannon, O. M., Malcomson, F. C., Phillips, N., Jain, M., Deo, S. V., Livingstone, K. M., et al. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15378 · Cited by 17
Zhang, K., Wang, Y., Sun, Y., Gao, L., Lu, Y., & Wang, N. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.116510 · Cited by 17
Politis, M., Crawford, L. E., Jani, B., Nicholl, B. I., Lewsey, J., McAllister, D., Mair, F. S., & Hanlon, P. (2024) · Scientific Reports · doi:10.1038/s41598-024-57366-7 · Cited by 17
Physical frailty, genetic predisposition, and incident arrhythmias
Zhang, Y., Liu, M., Li, J., Ruan, L., Wu, X., Zhang, C., & Chen, L. (2024) · Journal of Cachexia Sarcopenia and Muscle · doi:10.1002/jcsm.13499 · Cited by 17
Nilsson, A., Bonander, C., Strömberg, U., Canivet, C. A., Östergren, P., & Björk, J. (2021) · PLoS ONE · doi:10.1371/journal.pone.0253969 · Cited by 17
Zhou, Z., Parra-Soto, S. L., Boonpor, J., Petermann-Rocha, F. E., Welsh, P. I., Mark, P. B., Sattar, N. A., Pell, J. P., Celis-Morales, C. A., & Ho, F. K. W. (2023) · Current Problems in Cardiology · doi:10.1016/j.cpcardiol.2023.101715 · Cited by 17
Kim, H. J., Koh, H. B., Heo, G. Y., Kim, H. W., Park, J. T., Chang, T. I., Yoo, T., Kang, S., Kalantar‐Zadeh, K., Rhee, C. M., et al. (2024) · American Journal of Clinical Nutrition · doi:10.1016/j.ajcnut.2024.02.004 · Cited by 15
Tian, J., Shen, Z., Sutherland, B. A., Cicuttini, F., Jones, G., & Pan, F. (2024) · British Journal of Anaesthesia · doi:10.1016/j.bja.2024.06.021 · Cited by 18
High cognitive reserve attenuates the risk of dementia associated with cardiometabolic diseases
Dove, A. E., Yang, W., Dekhtyar, S., Guo, J., Wang, J., Marseglia, A., Vetrano, D. L., Whitmer, R. A., & Xu, W. (2024) · Alzheimer s Research & Therapy · doi:10.1186/s13195-024-01528-2 · Cited by 19
Risk factors for intracerebral haemorrhage – Results from a prospective population-based study
Svensson, E. H., Abul‐Kasim, K., Engström, G., & Söderholm, M. (2020) · European Stroke Journal · doi:10.1177/2396987320932069 · Cited by 16
Associations Between Relative Grip Strength and the Risk of 15 Cancer Sites
Parra-Soto, S. L., Tumblety, C., Ho, F. K. W., Pell, J. P., & Celis-Morales, C. A. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.07.015 · Cited by 16
Dietary Patterns and Practices and Leucocyte Telomere Length: Findings from the UK Biobank
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Gao, P., Fu, Y. H. H., He, X., Zhang, D., Chi, H., Huang, Y., Wang, Z.-B., Zhang, W., Ou, Y., Ge, Y., et al. (2025) · Journal of Advanced Research · doi:10.1016/j.jare.2025.06.046 · Cited by 19
Chronic pain and COVID-19 hospitalisation and mortality: a UK Biobank cohort study
Hastie, C. E., Foster, H. M. E., Jani, B., O’Donnell, C. A., Ho, F. K. W., Pell, J. P., Sattar, N. A., Katikireddi, S. V., Mair, F. S., & Nicholl, B. I. (2022) · Pain · doi:10.1097/j.pain.0000000000002663 · Cited by 16
Hu, W., Han, Q., Chu, J., Sun, N., Li, T., Feng, Z., He, Q., Ma, Z., Wang, Y., & Shen, Y. (2023) · Archives of Gerontology and Geriatrics · doi:10.1016/j.archger.2023.105051 · Cited by 14
Song, Z., Wan, L., Wang, W., Li, Y., Zhao, Y., Zhuang, Z., Dong, X. Y., Xiao, W., Huang, N., Xu, M. J., et al. (2023) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2023.117300 · Cited by 15
Hu, X., Wang, J., Yang, T., Jin, J., Zeng, Q., Aboubakri, O., Feng, X. L., Li, G., & Huang, J. (2023) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2023.168967 · Cited by 15
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Gaba, A., Li, P., Zheng, X., Gao, C., Cai, R., Hu, K., & Gao, L. (2024) · Innovation in Aging · doi:10.1093/geroni/igae029 · Cited by 15
Cardiometabolic disease, cognitive decline, and brain structure in middle and older age
Dove, A. E., Guo, J., Wang, J., Vetrano, D. L., Sakakibara, S., Laukka, E. J., Bennett, D. A., & Xu, W. (2024) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12566 · Cited by 15
Yang, J., Zeng, Y., Yang, H., Qu, Y., Han, X., Chen, W., Sun, Y., Hu, Y., Ying, Z., Liu, D., et al. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.031280 · Cited by 15
Lassale, C. M., Hamer, M., Hernáez, Á., Galé, C. R., & Batty, G. D. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101461 · Cited by 15
Gilbert’s syndrome, circulating bilirubin and lung cancer: a genetic advantage?
Freisling, H., Khoei, N. S., Viallon, V., & Wagner, K. (2020) · Thorax · doi:10.1136/thoraxjnl-2020-215642 · Cited by 17
Zhang, Y., Sun, Y., Yu, Q., Song, S., Brenna, J. T., Shen, Y., & Ye, K. (2023) · medRxiv · doi:10.1101/2023.01.16.23284631 · Cited by 15
Chronic kidney disease and dementia: an epidemiological perspective
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Metadata
- Authors
- Batty, G. D., Gale, C. R., Kivimäki, M., Deary, I. J., & Bell, S.
- Affiliations
- Oregon State University (US)
- University of Edinburgh (GB)
- University of Cambridge (GB)
- Corresponding author
- Batty, G David
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 2020-02-12
- Volume
- 368
- Pages
- m131
- ISSN
- 1756-1833 (ISSN-L)
- PMC
- PMC7190071
- OpenAlex
- W3006266257
- Cited by
- 635
- References
- 59
- Citations by year
- 2026: 64 · 2025: 108 · 2024: 102 · 2023: 101 · 2022: 109 · 2021: 103 · 2020: 47
- FWCI
- 56.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- BMJ (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (acceptedVersion)
- Apollo (University of Cambridge) (submittedVersion, cc-by)
- UCL Discovery (University College London) (submittedVersion)
- HighWire Press Open Archive (submittedVersion)
- Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, cc-by)
- Apollo (cc-by)
- Funders
- National Institute for Health and Care Research (NIHR BTRU‐2014‐10024, 311492, BTRU-2014–10024, R024227)
- British Heart Foundation (R024227, RG/13/13/30194, 311492)
- University of Cambridge
- Academy of Finland (311492, R024227)
- Cambridge University Hospitals
- NordForsk (R024227, 311492)
- National Institutes of Health (R024227)
- Medical Research Council (RG/13/13/30194, MR/R024227, MR/P023444/1, MR/S011676/1, 1R56AG052519-01, R024227, MR/L003120/1, MR/K026992/1, MC_PC_17228, 311492, MC_PC_12028, MR/L003120, MRC_MC_UU_12011/2)
- NIHR Cambridge Biomedical Research Centre
- National Institute on Aging (R56AG052519, R01AG056477, R01AG052519)
- Topics
- Health Sciences › Medicine › Cardiology and Cardiovascular Medicine › Cardiovascular Health and Risk Factors
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Sociology and Political Science › Survey Methodology and Nonresponse
- Keywords
- UK Biobank, generalizability, risk factor association, mortality, cardiovascular mortality, cancer mortality, suicide, smoking, Scottish Health Survey
- MeSH terms
- Cause of Death, United Kingdom, Health Surveys, Humans, Prospective Studies, Proportional Hazards Models, Biological Specimen Banks
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