Association between sociodemographic status and the T2DM-related risks in China: implication for reducing T2DM disease burden

被引:5
作者
Huang, Xin [1 ]
He, Yinhui [1 ]
Xu, Haiyan [1 ]
Shen, Yuyan [2 ]
Pan, Xiaowen [2 ]
Wu, Junyun [2 ]
Chen, Kai [1 ]
机构
[1] Lishui Municipal Cent Hosp, Dept Endocrinol & Metab, Lishui, Peoples R China
[2] Zhejiang Univ, Dept Endocrinol & Metab, Affiliated Hosp 2, Sch Med, Hangzhou, Zhejiang, Peoples R China
关键词
type 2 diabetes mellitus; China; disability-adjusted life years; high body mass index; ambient particulate matter pollution; sociodemographic index; SUGAR-SWEETENED BEVERAGES; BODY-MASS INDEX; CARDIOVASCULAR-DISEASE; PHYSICAL-ACTIVITY; POOLED ANALYSIS; GENDER-DIFFERENCES; DIABETES-MELLITUS; TYPE-2; OBESITY; EPIDEMIOLOGY;
D O I
10.3389/fpubh.2023.1297203
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Objective Analyzing the association between sociodemographic status and the type 2 diabetes mellitus (T2DM)-related risks in China to reduce the disease burden of T2DM.Methods We downloaded data from the Global Burden of Disease Study 2019 to estimate the disease burden of T2DM in China. Secondary analyses were performed by year, age, gender, summary exposure value (SEV), and sociodemographic index (SDI).Results In China, it is estimated that 3.74 (3.44-4.10) million incidence, 90.0 (82.3-98.5) million prevalence, 168.4 (143.2-194.0) thousand deaths, and 9.6 (7.6-11.9) million DALYs occurred in 2019, showing an increase of 96.8, 156.7, 162.8, and 145.4% compared to 1990. An inverse U-shaped curve was observed for the correlations between T2DM-related burden and SDI. A heavier burden was found in males. The top four risk factors were high body mass index (HBMI), dietary risks, air pollution and tobacco. HBMI, as the key risk, accounted for half of the disease burden of T2DM in China. Lower degree of SEV and higher level of attributable T2DM-related burden could be found in main risks, meaning their critical role of them in the development and progression of T2DM. An inverse U-shaped curve could be found in the association between age-standardized incidence, mortality, DALYs rate, and SDI.Conclusion The disease burden of T2DM has rapidly increased in China. Gender disparities, different age distributions and inconsistent socioeconomic levels all played an important role in it. The key risk was HBMI. With the improvement of socioeconomic level, the main risk factors for T2DM have changed from environmental factors to lifestyle factors. Targeted control and preventative strategies to address adjustable risk factors could put an end to this soaring burden.
引用
收藏
页数:14
相关论文
共 54 条
  • [1] Health effects of dietary risks in 195 countries, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017
    Afshin, Ashkan
    Sur, Patrick John
    Fay, Kairsten A.
    Cornaby, Leslie
    Ferrara, Giannina
    Salama, Joseph S.
    Mullany, Erin C.
    Abate, Kalkidan Hassen
    Abbafati, Cristiana
    Abebe, Zegeye
    Afarideh, Mohsen
    Aggarwal, Anju
    Agrawal, Sutapa
    Akinyemiju, Tomi
    Alahdab, Fares
    Bacha, Umar
    Bachman, Victoria F.
    Badali, Hamid
    Badawi, Alaa
    Bensenor, Isabela M.
    Bernabe, Eduardo
    Biryukov, Stan H.
    Biadgilign, Sibhatu Kassa K.
    Cahill, Leah E.
    Carrero, Juan J.
    Cercy, Kelly M.
    Dandona, Lalit
    Dandona, Rakhi
    Anh Kim Dang
    Degefa, Meaza Girma
    Zaki, Maysaa El Sayed
    Esteghamati, Alireza
    Esteghamati, Sadaf
    Fanzo, Jessica
    Farinha, Carla Sofia E. Sa
    Farvid, Maryam S.
    Farzadfar, Farshad
    Feigin, Valery L.
    Fernandes, Joao C.
    Flor, Luisa Sorio
    Foigt, Nataliya A.
    Forouzanfar, Mohammad H.
    Ganji, Morsaleh
    Geleijnse, Johanna M.
    Gillum, Richard F.
    Goulart, Alessandra C.
    Grosso, Giuseppe
    Guessous, Idris
    Hamidi, Samer
    Hankey, Graeme J.
    [J]. LANCET, 2019, 393 (10184) : 1958 - 1972
  • [3] [Anonymous], GBD Results Tool User Guide
  • [4] Leisure Time Physical Activity and Mortality A Detailed Pooled Analysis of the Dose-Response Relationship
    Arem, Hannah
    Moore, Steven C.
    Patel, Alpa
    Hartge, Patricia
    de Gonzalez, Amy Berrington
    Visvanathan, Kala
    Campbell, Peter T.
    Freedman, Michal
    Weiderpass, Elisabete
    Adami, Hans Olov
    Linet, Martha S.
    Lee, I. -Min
    Matthews, Charles E.
    [J]. JAMA INTERNAL MEDICINE, 2015, 175 (06) : 959 - 967
  • [5] Physical activity and the risk of type 2 diabetes: a systematic review and dose-response meta-analysis
    Aune, Dagfinn
    Norat, Teresa
    Leitzmann, Michael
    Tonstad, Serena
    Vatten, Lars Johan
    [J]. EUROPEAN JOURNAL OF EPIDEMIOLOGY, 2015, 30 (07) : 529 - 542
  • [6] Food systems transformations, ultra-processed food markets and the nutrition transition in Asia
    Baker, Phillip
    Friel, Sharon
    [J]. GLOBALIZATION AND HEALTH, 2016, 12
  • [7] Obesity and Overweight in American Indian and Alaska Native Children, 2006-2015
    Bullock, Ann
    Sheff, Karen
    Moore, Kelly
    Manson, Spero
    [J]. AMERICAN JOURNAL OF PUBLIC HEALTH, 2017, 107 (09) : 1502 - 1507
  • [8] Burkart K, 2022, LANCET PLANET HEALTH, V6, pE586, DOI 10.1016/S2542-5196(22)00122-X
  • [9] Diabetes structured self-management education programmes: a narrative review and current innovations
    Chatterjee, Sudesna
    Davies, Melanie J.
    Heller, Simon
    Speight, Jane
    Snoek, Frank J.
    Khunti, Kamlesh
    [J]. LANCET DIABETES & ENDOCRINOLOGY, 2018, 6 (02) : 130 - 142
  • [10] Leptin levels and risk of type 2 diabetes: gender-specific meta-analysis
    Chen, G. -C.
    Qin, L. -Q.
    Ye, J. -K.
    [J]. OBESITY REVIEWS, 2014, 15 (02) : 134 - 142