[1] |
International Diabetes Federation. IDF diabetes atlas[EB/OL].10th ed. 2021. https://diabetesatlas.org/.
|
[2] |
Li Y, Teng D, Shi X, et al. Prevalence of diabetes recorded in mainland China using 2018 diagnostic criteria from the American Diabetes Association: National Cross Sectional Study[J]. BMJ, 2020, 369: m997.
|
[3] |
World Health Orgnization. China country assessment report on ageing and health[EB/OL]. 2015. https://apps.who.int/iris/handle/10665/194271.
|
[4] |
Lu J, Li M, Xu Y, et al. Early life famine exposure, ideal cardiovascular health metrics, and risk of incident diabetes: findings from the 4C study[J]. Diabetes Care, 2020, 43(8): 1902-1909.
doi: 10.2337/dc19-2325
URL
|
[5] |
Wang T, Huang T, Li Y, et al. Low birthweight and risk of type 2 diabetes[J]. Diabetologia, 2016, 59(9): 1920-1927.
doi: 10.1007/s00125-016-4019-z
URL
|
[6] |
Huang T, Wang T, Zheng Y, et al. Association of Birth weight with type 2 diabetes and glycemic traits[J]. JAMA Netw Open, 2019, 2(9): e1910915.
|
[7] |
Relph S, Patel T, Delaney L, et al. Adverse pregnancy outcomes in women with diabetes-related microvascular disease and risks of disease progression in pregnancy: a systematic review and meta-analysis[J]. PLoS Med, 2021, 18(11): e1003856.
|
[8] |
Wang T, Liu H, Wang L, et al. Zinc-associated variant in SLC30A8 gene interacts with gestational weight gain on postpartum glycemic changes[J]. Diabetes, 2016, 65(12): 3786-3793.
doi: 10.2337/db16-0730
URL
|
[9] |
Egan AM, Dennedy MC, Al-Ramli W, et al. ATLANTIC-DIP: excessive gestational weight gain and pregnancy outcomes in women with gestational or pregestational diabetes mellitus[J]. J Clin Endocrinol Metab, 2014, 99(1): 212-219.
doi: 10.1210/jc.2013-2684
URL
|
[10] |
Ehrlich SF, Hedderson MM, Quesenberry CP Jr, et al. Post-partum weight loss and glucose metabolism in women with gestational diabetes[J]. Diabet Med, 2014, 31(7): 862-867.
doi: 10.1111/dme.12425
URL
|
[11] |
Wang T, Lu J, Xu Y, et al. Circulating prolactin associates with diabetes and impaired glucose regulation[J]. Diabetes Care, 2013, 36(7): 1974-1980.
doi: 10.2337/dc12-1893
URL
|
[12] |
Li M, Xu Y, Wan Q, et al. Individual and combined associations of modifiable lifestyle and metabolic health status with new-onset diabetes and major cardiovascular events: the China Cardiometabolic Disease and Cancer Cohort (4C) study[J]. Diabetes Care, 2020, 43(8): 1929-1936.
doi: 10.2337/dc20-0256
URL
|
[13] |
Lu J, He J, Li M, et al. Predictive value of fasting glucose, postload glucose, and hemoglobin A1c on risk of diabetes and complications in Chinese adults[J]. Diabetes Care, 2019, 42(8): 1539-1548.
doi: 10.2337/dc18-1390
URL
|
[14] |
Bi Y, Wang L, Xu Y, et al. Diabetes-related metabolic risk factors in internal migrant workers in China: a national surveillance study[J]. Lancet Diabetes Endocrinol, 2016, 4(2): 125-135.
doi: 10.1016/S2213-8587(15)00366-6
URL
|
[15] |
Wang T, Lu J, Shi L, et al. Association of insulin resistance and β-cell dysfunction with incident diabetes among adults in China: a nationwide, population-based, prospective cohort study[J]. Lancet Diabetes Endocrinol, 2020, 8(2): 115-124.
doi: 10.1016/S2213-8587(19)30425-5
URL
|
[16] |
Munshi MN, Meneilly GS, Rodríguez-Mañas L, et al. Diabetes in ageing: pathways for developing the evidence base for clinical guidance[J]. Lancet Diabetes Endocrinol, 2020, 8(10): 855-867.
doi: 10.1016/S2213-8587(20)30230-8
URL
|
[17] |
Wang T, Zhao Z, Wang G, et al. Age-related disparities in diabetes risk attributable to modifiable risk factor profiles in Chinese adults[J]. Lancet Healthy Longev, 2021, 2(10): e618-e628.
doi: 10.1016/S2666-7568(21)00177-X
URL
|
[18] |
American Diabetes Association. 12 older adults: standards of medical care in diabetes-2019[J]. Diabetes Care, 2019, 42 Suppl 1: S139-S147.
doi: 10.2337/dc19-S012
URL
|
[19] |
毕宇芳. 糖尿病及并发症的危险因素和精准预防研究现状[J]. 内科理论与实践, 2019, 14(3): 141-143.
|