Obesity care in Chinese adults: from evidence to clinical practice

Jing An , Qingyi Jia , Yan Huang , Yuzi Cao , Yaqian Duan , Huijie Zhang , Sheyu Li

Precision Clinical Medicine ›› 2025, Vol. 8 ›› Issue (4) : pbaf036

PDF (1106KB)
Precision Clinical Medicine ›› 2025, Vol. 8 ›› Issue (4) :pbaf036 DOI: 10.1093/pcmedi/pbaf036
Review
research-article

Obesity care in Chinese adults: from evidence to clinical practice

Author information +
History +
PDF (1106KB)

Abstract

More than 500 million Chinese adults suffered from overweight or obesity in 2023. The pandemic of obesity consumes healthcare and economic resources by imposing enormous burden from its complications such as cardiovascular, kidney and metabolic diseases. In response, China launched a series of important policy changes including “Weight Management Year”, facilitating the engagement of public health, clinical practitioners, industry and stakeholders in different fields. The shift triggered rapid evolution of technologies in obesity care including both treatment and prevention, which added great opportunities for all stakeholders. Nevertheless, challenges exist, including misdiagnosis of obesity secondary to other diseases, population disparity, indirect evidence supported by trials conducted in other ethnic groups, health inequalities and the collaboration across stakeholders with diverse backgrounds. Traditional Chinese diets such as Jiangnan Diet and activities such as Tai Chi represent tradition-based lifestyle interventions that provide Chinese people with cultural benefits. The evolution of technologies, especially digital healthcare and novel medications, will play critical roles in future obesity care in China. Policy makers and clinical and public health practitioners must make every effort to address the urgent crisis posed by obesity pandemic in China.

Keywords

obesity management / China / lifestyle intervention / pharmacotherapy / digital health / multidisciplinary care

Cite this article

Download citation ▾
Jing An, Qingyi Jia, Yan Huang, Yuzi Cao, Yaqian Duan, Huijie Zhang, Sheyu Li. Obesity care in Chinese adults: from evidence to clinical practice. Precision Clinical Medicine, 2025, 8(4): pbaf036 DOI:10.1093/pcmedi/pbaf036

登录浏览全文

4963

注册一个新账户 忘记密码

Acknowledgements

This study was supported by the National Science and Technology Major Project for Prevention and Treatment of Cancers, Cardiovascular and Cerebrovascular, Respiratory, and Metabolic Diseases (grant No. 2025ZD0550604), National Natural Science Foundation of China (grant No. 72342014) and 1.3.5 project for disciplines of excellence, West China Hospital, Sichuan University (grant No. ZYYC24001). All figures were created by BioRender.com.

Author contributions

Jing An (Writing - original draft), Qingyi Jia (Writing - original draft), Yan Huang (Writing - original draft), Yuzi Cao (Writing - review & editing), Yaqian Duan (Writing - review & editing), Huijie Zhang (Supervision), and Sheyu Li (Supervision).

Conflict of interest

The authors declare no conflicts of interest related to the content of this article.

References

[1]

Li J, Shi Q, Gao Q et al. Obesity pandemic in China: epidemiology, burden, challenges, and opportunities. Chin Med J (Engl) 2022;135:1328-30. https://doi.org/10.1097/CM9.0000000000002189.

[2]

Chen K, Shen Z, Gu W et al. Prevalence of obesity and associated complications in China: A cross-sectional, real-world study in 15.8 million adults. Diabetes Obes Metab 2023;25:3390-9. https://doi.org/10.1111/dom.15238.

[3]

Ng M, Gakidou E, Lo J et al. Global, regional, and national prevalence of adult overweight and obesity, 1990-2021, with forecasts to 2050: a forecasting study for the Global Burden of Disease Study 2021. Lancet 2025;405:813-38. https://doi.org/10.1016/S0140-6736(25)00355-1.

[4]

Meyhöfer S, Lautenbach A, Serfling G. Obesity-A chronic disease requiring treatment. (Article in German). Dtsch Med Wochenschr 2022;147:656-62. https://doi.org/10.1055/a-1657-2047.

[5]

Qin X, Pan J. The medical cost attributable to obesity and overweight in China: estimation based on longitudinal surveys. Health Econ 2016;25:1291-311. https://doi.org/10.1002/hec.3217.

[6]

The Lancet Diabetes & Endocrinology. World Diabetes Day 2021: a time of reckoning. Lancet Diabetes Endocrinol 2021;9:799. https://doi.org/10.1016/S2213-8587(21)00297-7.

[7]

Chinese Society of Endocrinology. Guideline for chronic weight management and clinical practice of anti-obesity medications (2024 version). (Article in Chinese). Chin J Endocrinol Metab 2024;40:545-64. https://doi.org/10.3760/cma.j.cn311282-20240412-00149.

[8]

Nutrition and Metabolism Collaboration of Chinese Society for Parenteral and Enteral Nutrition, Bariatric Multidisciplinary Team of Peking Union Medical College Hospital. The consensus on nutritional and multi-disciplinary management for bariatric surgery. (Article in Chinese). Chin J Surg 2018;56:81-90. https://doi.org/10.3760/cma.j.issn.0529-5815.2018.02.001.

[9]

Jiao Y, Xue J, Chen S et al. PBS: a prospective longitudinal multiomics bariatric surgery cohort. Precis Clin Med 2023;6:pbad032. https://doi.org/10.1093/pcmedi/pbad032.

[10]

Kivimäki M, Strandberg T, Pentti J et al. Body-mass index and risk of obesity-related complex multimorbidity: an observational multicohort study. Lancet Diabetes Endocrinol 2022;10:25363. https://doi.org/10.1016/S2213-8587(22)00033-X.

[11]

Mechanick JI, Hurley DL, Garvey WT. Adiposity-based chronic disease as a new diagnostic term: The American Association of Clinical Endocrinologists and American College of Endocrinology Position Statement. Endocr Pract 2017;23:372-8. https://doi.org/10.4158/EP161688.PS.

[12]

Acosta A, Camilleri M,Abu Dayyeh B et al. Selection of antiobesity medications based on phenotypes enhances weight loss: a pragmatic trial in an obesity clinic. obes 2021;29:662-71. https://doi.org/10.1002/oby.23120.

[13]

Lin Z, Feng W, Liu Y et al. Machine learning to identify metabolic subtypes of obesity: a multi-center study. Front Endocrinol 2021;12:713592. https://doi.org/10.3389/fendo.2021.713592.

[14]

Kalinderi K, Goula V, Sapountzi E et al. Syndromic and monogenic obesity: new opportunities due to genetic-based pharmacological treatment. Child Basel Switz 2024;11:153. https://doi.org/10.3390/children11020153.

[15]

Wharton S, Lau DCW, Vallis M et al. Obesity in adults: a clinical practice guideline. CMAJ Can Med Assoc J J Assoc Medicale Can 2020;192:E875-91. https://doi.org/10.1503/cmaj.191707.

[16]

Prado CM, Batsis JA, Donini LM et al. Sarcopenic obesity in older adults: a clinical overview. Nat Rev Endocrinol 2024;20:261-77. https://doi.org/10.1038/s41574-023-00943-z.

[17]

Preda A, Carbone F, Tirandi A et al. Obesity phenotypes and cardiovascular risk: from pathophysiology to clinical management. Rev Endocr Metab Disord 2023;24:901-19. https://doi.org/10.1007/s11154-023-09813-5.

[18]

Shen Y, Shi Q, Nong K et al. Exercise for sarcopenia in older people: A systematic review and network meta-analysis. J Cachexia Sarcopenia Muscle 2023;14:1199-211. https://doi.org/10.1002/jcsm.13225.

[19]

Coral DE, Smit F, Farzaneh A et al. Subclassification of obesity for precision prediction of cardiometabolic diseases. Nat Med 2025;31:534-43. https://doi.org/10.1038/s41591-024-03299-7.

[20]

Chami N, Wang Z, Svenstrup V et al. Genetic subtyping of obesity reveals biological insights into the uncoupling of adiposity from its cardiometabolic comorbidities. Nat Med 2025;31:3801-12. https://doi.org/10.1038/s41591-025-03931-0.

[21]

Chinese Society for Metabolic and Bariatric Surgery (CSMBS), Chinese Society for Integrated Health of Metabolic and Bariatric Surgery (CSMBS IH), Chinese Obesity and Metabolic Surgery Collaborative (COMES Collaborative). Chinese obesity and metabolic surgery database:annual report 2024. (Article in Chinese). Chin J Obes Metab Dis Electron Version 2025;11:85-91. https://doi.org/10.3877/cma.j.issn.2095-9605.2025.02.001.

[22]

Hou C, Zheng B, Yang Y et al. Weight reduction via life-style modifications results in reverse remodelling and cardiac functional improvement in a patient with obesity. Obes Res Clin Pract 2017;11:364-9. https://doi.org/10.1016/j.orcp.2017.02.003.

[23]

Chen K, Zhang H, Wu N et al. Global risk factors, epidemiology, and disease burden of type 2 diabetes. Sci China Life Sci 2025. https://doi.org/10.1007/s11427-024-3036-4.

[24]

Zhang H, Jia Q, Song P et al. Incidence, prevalence, and burden of type 2 diabetes in China: trend and projection from 1990 to 2050. Chin Med J (Engl) 2025;138:1447-55. https://doi.org/10.1097/CM9.0000000000003536.

[25]

Nong K, Jeppesen BT, Shi Q et al. Medications for adults with type 2 diabetes: a living systematic review and network metaanalysis. BMJ 2025;390:e083039. https://doi.org/10.1136/bmj-2024-083039.

[26]

Liu CH, Zeng QM, Hu TY et al. Resmetirom and thyroid hormone receptor-targeted treatment for metabolic dysfunctionassociated steatotic liver disease (MASLD). Portal Hypertens Cirrhosis 2025;4:66-78. https://doi.org/10.1002/poh2.100.

[27]

Pan X, He H, Bao Y et al. Chinese expert consensus on the management of hypertension in adults with type 2 diabetes. J Evid-Based Med 2024;17:851-64. https://doi.org/10.1111/jebm.12655.

[28]

Rubino F, Cummings DE, Eckel RH et al. Definition and diagnostic criteria of clinical obesity. Lancet Diabetes Endocrinol 2025;13:22162. https://doi.org/10.1016/S2213-8587(24)00316-4.

[29]

Ndumele CE, Neeland IJ, Tuttle KR et al. A synopsis of the evidence for the science and clinical management of cardiovascular-kidney-metabolic (CKM) syndrome: a scientific statement from the American Heart Association. Circulation 2023;148:1636-64. https://doi.org/10.1161/CIR.0000000000001186.

[30]

Jia Q, Li S. Commentary: shared decision making for weightlowering medications in China. Clin Transl Med 2024;14:e70065. https://doi.org/10.1002/ctm2.70065.

[31]

Cao Y, Widyahening I, Sun X et al. Pathophysiology of type 2 diabetes: A focus on the metabolic differences among southeast Asian, Chinese and Indian populations and how this impacts treatment. Diabetes Obesity Metabolism 2025;27:3-14. https://doi.org/10.1111/dom.70060.

[32]

Van Der Valk ES, Van Den Akker ELT, Savas M et al. A comprehensive diagnostic approach to detect underlying causes of obesity in adults. Obes Rev 2019;20:795-804. https://doi.org/10.1111/obr.12836.

[33]

Rubinstein G, Osswald A, Hoster E et al. Time to diagnosis in Cushing's syndrome: a meta-analysis based on 5367 patients. J Clin Endocrinol Metab 2020;105:dgz136. https://doi.org/10.1210/clinem/dgz136.

[34]

Hepp Z, Wyne K, Manthena SR et al. Adherence to thyroid hormone replacement therapy: a retrospective, claims database analysis. Curr Med Res Opin 2018;34:1673-8. https://doi.org/10.1080/03007995.2018.1486293.

[35]

Mast MH. Claims of anomalously long fasting: an assessment of the evidence from investigated cases. EXPLORE 2020;16:287-96. https://doi.org/10.1016/j.explore.2020.05.015.

[36]

Luo Y, Wang J, Sun L et al. Isocaloric-restricted Mediterranean diet and Chinese diets high or low in plants in adults with prediabetes. J Clin Endocrinol Metab 2022;107:2216-27. https://doi.org/10.1210/clinem/dgac303.

[37]

Beebe N, Magnanti S, Katkowski L et al. Effects of the addition of Tai Chi to a dietary weight loss program on lipoprotein atherogenicity in obese older women. J Altern Complement Med 2013;19:759-66. https://doi.org/10.1089/acm.2012.0531.

[38]

Xu F, Letendre J, Bekke J et al. Impact of a program of Tai Chi plus behaviorally based dietary weight loss on physical functioning and coronary heart disease risk factors: a community-based study in obese older women. J Nutr Gerontol Geriatr 2015;34:5065. https://doi.org/10.1080/21551197.2014.1003672.

[39]

Yang F, Shu HL, Zhang XQ. Understanding "internet plus healthcare" in China: policy text analysis. J Med Internet Res 2021;23:e23779. https://doi.org/10.2196/23779.

[40]

Tan X, Liu X, Shao H. Healthy China 2030: a vision for health care. Value Health Reg Issues 2017;12:112-4. https://doi.org/10.1016/j.vhri.2017.04.001.

[41]

Richards R, Wren G, Whitman M. The potential of a digital weight management program to support specialist weight management services in the UK National Health Service: retrospective analysis. JMIR Diabetes 2024;9:e52987. https://doi.org/10.2196/52987.

[42]

Wang X, Wang S, Zhong L et al. A mobile-based platform with a low-calorie dietary intervention involving prepackaged food for weight loss for people with overweight and obesity in China: half-year follow-up results of a randomized controlled trial. JMIR Mhealth Uhealth 2024;12:e47104. https://doi.org/10.2196/47104.10.2196/47104.

[43]

Geng L, Jiang G, Yu L et al. The most popular commercial weight management apps in the Chinese app store: analysis of quality, features, and behavior change techniques. JMIR MHealth UHealth 2023;11:e50226. https://doi.org/10.2196/50226.

[44]

Stevens ER, Elmaleh-Sachs A, Lofton H et al. Lightening the load: generative ai to mitigate the burden of the new era of obesity medical therapy. JMIR Diabetes 2024;9:e58680. https://doi.org/10.2196/58680.

[45]

Wang Z, Qi L, Lian X et al. The development and application of chatbots in healthcare: from traditional methods to large language models. (Article in Chinese). Med J Peking Union Med Coll Hosp 2025;16:1170-8. https://doi.org/10.12290/xhyxzz.2024-0824.

[46]

Yang Y, Liu S, Lei P et al. Assessing usability of intelligent guidance chatbots in Chinese hospitals: cross-sectional study. Digit Health 2024;10:20552076241260504. https://doi.org/10.1177/20552076241260504.

[47]

Ma P, Lau CP, Yu N et al. Image-based nutrient estimation for Chinese dishes using deep learning. Food Res Int 2021;147:110437. https://doi.org/10.1016/j.foodres.2021.110437.

[48]

Qiao C, Rolfe EDL, Mak E et al. Prediction of total and regional body composition from 3D body shape. NPJ Digit Med 2024;7:298. https://doi.org/10.1038/s41746-024-01289-0.

[49]

Tharatipyakul A, Srikaewsiew T, Pongnumkul S. Deep learningbased human body pose estimation in providing feedback for physical movement: A review. Heliyon 2024;10:e36589. https://doi.org/10.1016/j.heliyon.2024.e36589.

[50]

Wang L, Sun Y, Sang Q et al. Establishing a prediction model for weight loss outcomes after LSG in Chinese obese patients with BMI≥32.5 kg/m2 using body composition data. Diabetes Metab Syndr Obes 2025;18:1467-87. https://doi.org/10.2147/DMSO.S508067.

[51]

Gao X, Sun L, Qin X et al. Application effect of an intelligent medical record writing assistant in inpatient medical record practice. (Article in Chinese). Med J Peking Union Med Coll Hosp 2025. https://doi.org/10.12290/xhyxzz.2024-1065.

[52]

Ji L, Jiang H, Cheng Z et al. A phase 2 randomised controlled trial of mazdutide in Chinese overweight adults or adults with obesity. Nat Commun 2023;14:8289. https://doi.org/10.1038/s41467-023-44067-4.

[53]

Ji L, Yan L, Gao L et al. 745-P: efficacy and safety of RAY1225 once every two weeks in Chinese adults with obesity or overweight (REBUILDING-1). Diabetes 2025;74:745-P. https://doi.org/10.2337/db25-745-P.

AI Summary AI Mindmap
PDF (1106KB)

0

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/