[1] Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med 2015;12(3):e1001779. https://doi.org/10.1371/journal.pmed.1001779CrossRef
[2] Chen Z, Chen J, Collins R, Guo Y, Peto R, Wu F, et al. China Kadoorie Biobank of 0. 5 million people: survey methods, baseline characteristics and long-term follow-up. Int J Epidemiol 2011;40(6):1652 − 66. https://doi.org/10.1093/ije/dyr120CrossRef
[3] Walters RG, Millwood IY, Lin K, Schmidt Valle D, McDonnell P, Hacker A, et al. Genotyping and population characteristics of the China Kadoorie Biobank. Cell Genom 2023;3(8):100361. https://doi.org/10.1016/j.xgen.2023.100361CrossRef
[4] Vrijheid M, Slama R, Robinson O, Chatzi L, Coen M, van den Hazel P, et al. The human early-life exposome (HELIX): project rationale and design. Environ Health Perspect 2014;122(6):535 − 44. https://doi.org/10.1289/ehp.1307204CrossRef
[5] Andersson C, Johnson AD, Benjamin EJ, Levy D, Vasan RS. 70-year legacy of the Framingham heart study. Nat Rev Cardiol 2019;16(11):687 − 98. https://doi.org/10.1038/s41569-019-0202-5CrossRef
[6] Mahmood SS, Levy D, Vasan RS, Wang TJ. The Framingham heart study and the epidemiology of cardiovascular disease: a historical perspective. Lancet 2014;383(9921):999 − 1008. https://doi.org/10.1016/S0140-6736(13)61752-3CrossRef
[7] Colditz GA, Hankinson SE. The nurses' health study: lifestyle and health among women. Nat Rev Cancer 2005;5(5):388 − 96. https://doi.org/10.1038/nrc1608CrossRef
[8] Chen H, Janszky I, Rostila M, Wei D, Yang F, Li J, et al. Bereavement in childhood and young adulthood and the risk of atrial fibrillation: a population-based cohort study from Denmark and Sweden. BMC Med 2023;21(1):8. https://doi.org/10.1186/s12916-022-02707-4CrossRef
[9] Svanström H, Ueda P, Melbye M, Eliasson B, Svensson AM, Franzén S, et al. Use of liraglutide and risk of major cardiovascular events: a register-based cohort study in Denmark and Sweden. Lancet Diabetes Endocrinol 2019;7(2):106 − 14. https://doi.org/10.1016/S2213-8587(18)30320-6CrossRef
[10] Hjorth S, Pottegård A, Broe A, Hemmingsen CH, Leinonen MK, Hargreave M, et al. Prenatal exposure to nitrofurantoin and risk of childhood leukaemia: a registry-based cohort study in four Nordic countries. Int J Epidemiol 2022;51(3):778 − 88. https://doi.org/10.1093/ije/dyab219CrossRef
[11] Bray BD, Paley L, Hoffman A, James M, Gompertz P, Wolfe CDA, et al. Socioeconomic disparities in first stroke incidence, quality of care, and survival: a nationwide registry-based cohort study of 44 million adults in England. Lancet Public Health 2018;3(4):e185 − 93. https://doi.org/10.1016/S2468-2667(18)30030-6CrossRef
[12] Huo LL, Harding JL, Peeters A, Shaw JE, Magliano DJ. Life expectancy of type 1 diabetic patients during 1997–2010: a national Australian registry-based cohort study. Diabetologia 2016;59(6):1177 − 85. https://doi.org/10.1007/s00125-015-3857-4CrossRef
[13] Katikireddi SV, Niedzwiedz CL, Dundas R, Kondo N, Leyland AH, Rostila M. Inequalities in all-cause and cause-specific mortality across the life course by wealth and income in Sweden: a register-based cohort study. Int J Epidemiol 2020;49(3):917 − 25. https://doi.org/10.1093/ije/dyaa053CrossRef
[14] Engeland A, Skurtveit S, Mørland J. Risk of road traffic accidents associated with the prescription of drugs: a registry-based cohort study. Ann Epidemiol 2007;17(8):597 − 602. https://doi.org/10.1016/j.annepidem.2007.03.009CrossRef
[15] Khurshid S, Weng LC, Al-Alusi MA, Halford JL, Haimovich JS, Benjamin EJ, et al. Accelerometer-derived physical activity and risk of atrial fibrillation. Eur Heart J 2021;42(25):2472 − 83. https://doi.org/10.1093/eurheartj/ehab250CrossRef
[16] Wang ZX, Wang Z, Li D, Yang CL, Zhang QC, Chen M, et al. High-quality semiconductor fibres via mechanical design. Nature 2024;626(7997):72 − 8. https://doi.org/10.1038/s41586-023-06946-0CrossRef
[17] Jia P, Stein A. Using remote sensing technology to measure environmental determinants of non-communicable diseases. Int J Epidemiol 2017;46(4):1343 − 4. https://doi.org/10.1093/ije/dyw365CrossRef
[18] Mei K, Huang H, Xia F, Hong A, Chen X, Zhang C, et al. State-of-the-art of measures of the obesogenic environment for children. Obes Rev 2021;22(S1):e13093. https://doi.org/10.1111/obr.13093CrossRef
[19] Wang QJ, Duoji Z, Feng CT, Fei T, Ma H, Wang SM, et al. Associations and pathways between residential greenness and hyperuricemia among adults in rural and urban China. Environ Res 2022;215:114406. https://doi.org/10.1016/j.envres.2022.114406CrossRef
[20] Yu WQ, Liu Z, La Y, Feng CT, Yu B, Wang QJ, et al. Associations between residential greenness and the predicted 10-year risk for atherosclerosis cardiovascular disease among Chinese adults. Sci Total Environ 2023;868:161643. https://doi.org/10.1016/j.scitotenv.2023.161643CrossRef
[21] Yang SJ, Feng CT, Fei T, Wu D, Feng L, Yuan FS, et al. Mortality risk of people living with HIV under hypothetical intervention scenarios of PM2.5 and HIV severity: a prospective cohort study. Sci Total Environ 2024;916:169938. https://doi.org/10.1016/j.scitotenv.2024.169938CrossRef
[22] Zhao L, Shek DTL, Zou K, Lei YL, Jia P. Cohort profile: Chengdu positive child development (CPCD) survey. Int J Epidemiol 2022;51(3):e95 − 107. https://doi.org/10.1093/ije/dyab237CrossRef
[23] Jia P. Spatial lifecourse epidemiology. Lancet Planet Health 2019;3(2):e57 − 9. https://doi.org/10.1016/S2542-5196(18)30245-6CrossRef
[24] Jia P, Liu SY, Yang SJ. Innovations in public health surveillance for emerging infections. Annu Rev Public Health 2023;44:55 − 74. https://doi.org/10.1146/annurev-publhealth-051920-093141CrossRef