Cited by 500Diabetes, Cardiovascular Risks, and LipoproteinsHealth Promotion and Cardiovascular PreventionDiabetes Management and Research

The DOI matches its Crossref record; 41 of the 60 references it cites were found in a registry or an index.

BMI Cut Points to Identify At-Risk Asian Americans for Type 2 Diabetes Screening

Open access

Hsu, William C., Araneta, Maria Rosario G., Kanaya, Alka M., Chiang, Jane L., Fujimoto, Wilfred·2015·Diabetes Care

DOI 10.2337/dc14-2391PMC PMC4392932

Open this paper in CoChat — free account Open PDF

Abstract

According to the U.S. Census Bureau, an Asian is a person with origins from the Far East (China, Japan, Korea, and Mongolia), Southeast Asia (Cambodia, Malaysia, the Philippine Islands, Thailand, Vietnam, Indonesia, Singapore, Laos, etc.), or the Indian subcontinent (India, Pakistan, Bangladesh, Bhutan, Sri Lanka, and Nepal); each region has several ethnicities, each with a unique culture, language, and history.In 2011, 18.2 million U.S. residents self-identified as Asian American, with more than two-thirds foreign-born (1).In 2012, Asian Americans were the nation's fastestgrowing racial or ethnic group, with a growth rate over four times that of the total U.S. population.International migration has contributed .60% of the growth rate in this population (1).Among Asian Americans, the Chinese population was the largest (4.0 million), followed by Filipinos (3.4 million), Asian Indians (3.2 million), Vietnamese (1.9 million), Koreans (1.7 million), and Japanese (1.3 million).Nearly three-fourths of all Asian Americans live in 10 statesdCalifornia, New York, Texas, New Jersey, Hawaii, Illinois, Washington, Florida, Virginia, and Pennsylvania (1).By 2060, the Asian American population is projected to more than double to 34.4 million, with its share of the U.S. population climbing from 5.1 to 8.2% in the same period (2).

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Integrity signals

Registry

Crossref · 10.2337/dc14-2391

Cites

41 of 41 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Standards of Medical Care in Diabetes: Response to Power
Fonseca, V., & Clark, N. (2006) · Diabetes Care · doi:10.2337/diacare.29.02.06.dc05-1989 · Cited by 5,910
Standards of medical care in diabetes—2014
American Diabetes Association (2014) · Diabetes Care · doi:10.2337/dc14-s014 · Cited by 4,572
Body-mass index and mortality among 1.46 million white adults
Berrington de Gonzalez, A., Hartge, P., Cerhan, J. R., Flint, A. J., Hannan, L., MacInnis, R. J., Moore, S. C., Tobias, G. S., Anton-Culver, H., Freeman, L. B., et al. (2010) · New England Journal of Medicine · doi:10.1056/nejmoa1000367 · Cited by 2,317
Waist circumference and abdominal sagittal diameter: Best simple anthropometric indexes of abdominal visceral adipose tissue accumulation and related cardiovascular risk in men and women
Pouliot, M., Després, J., Lemieux, S., Moorjani, S., Bouchard, C., Tremblay, A., Nadeau, A., & Lupien, P. J. (1994) · The American Journal of Cardiology · doi:10.1016/0002-9149(94)90676-9 · Cited by 2,099 · cited 1×
“Abdominal circumference and waist and hip measurements, although highly correlated with cardiometabolic risk (6,7), do not differentiate subcutaneous from visceral adipose abdominal depots and are subject to interobserver variability.”
Background
Diabetes in Asia: Epidemiology, Risk Factors, and Pathophysiology
Chan, J. C. N., Malik, V., Jia, W., Kadowaki, T., Yajnik, C. S., Yoon, K.-H., & Hu, F. B. (2009) · JAMA · doi:10.1001/jama.2009.726 · Cited by 1,997
Body-Mass Index and Mortality among 1.46 Million White Adults
Shephard, R. (2011) · Yearbook of Sports Medicine · doi:10.1016/j.yspm.2011.03.017 · Cited by 1,554
Body Fat Distribution and Risk of Cardiovascular Disease: An Update
Després, J.-P. (2012) · Circulation · doi:10.1161/circulationaha.111.067264 · Cited by 1,481
The Influence of Body Fat Distribution on the Incidence of Diabetes Mellitus: 13.5 Years of Follow-up of the Participants in the Study of Men Born in 1913
Ohlson, L., Larsson, B., Svärdsudd, K., Welin, L., Eriksson, H., Wilhelmsen, L., Björntorp, P., & Tibblin, G. (1985) · Diabetes · doi:10.2337/diab.34.10.1055 · Cited by 1,143
Impaired glucose tolerance and impaired fasting glycaemia: the current status on definition and intervention
Unwin, N. C., Shaw, J. E., Zimmet, P., & Alberti, K. G. M. M. (2002) · Diabetic Medicine · doi:10.1046/j.1464-5491.2002.00835.x · Cited by 1,112
Asians have lower body mass index (BMI) but higher percent body fat than do whites: comparisons of anthropometric measurements.
Wang, J., Thornton, J., Russell, M., Burastero, S., Heymsfield, S., & Pierson, R. (1994) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/60.1.23 · Cited by 886 · cited 2×
“However, BMI does not take into account the relative proportions of fat and lean tissue and cannot distinguish the location of fat distribution (10,11).”
Background

Flagged first, then by citations

Show all 60 references

19 of the 60 references couldn’t be matched to a known paper.

Research works printed but not linked: 7

National Institutes of Health, 1998, Clinical guidelines on the identification, evaluation, and treatment of overweight and obesity in adults—the evidence report, Obes Res, 6, 51S
Lee, 2011, Trends in the prevalence of type 2 diabetes in Asians versus whites: results from the United States National Health Interview Survey, 1997-2008, Diabetes Care, 34, 353, 10.2337/dc10-0746 · DOI
Fujimoto, 1996, Hypertension in Japanese Americans: the Seattle Japanese-American Community Diabetes Study, Public Health Rep, 111, 56
World Health Organisation, International Association for the Study of Obesity, International Obesity Task Force, 2000, The Asia-Pacific Perspective: Redefining Obesity and Its Treatment
WHO Expert Consultation, 2004, Appropriate body-mass index for Asian populations and its implications for policy and intervention strategies, Lancet, 363, 157, 10.1016/S0140-6736(03)15268-3 · DOI · Paper page
Bei-Fan, 2002, Predictive values of body mass index and waist circumference for risk factors of certain related diseases in Chinese adults: study on optimal cut-off points of body mass index and waist circumference in Chinese adults, Asia Pac J Clin Nutr, 11, S685, 10.1046/j.1440-6047.11.s8.9.x · DOI
Misra, 2009, Consensus statement for diagnosis of obesity, abdominal obesity and the metabolic syndrome for Asian Indians and recommendations for physical activity, medical and surgical management, J Assoc Physicians India, 57, 163

Sorted by citations

Items 301–400 of 469

Promoting Physical Activity Among Immigrant Asian Americans: Results from Four Community Health Worker Studies
Wyatt, L. C., Katigbak, C., Riley, L., Zanowiak, J. M., Ursua, R. A., Kwon, S. C., Trinh‐Shevrin, C., & Islam, N. S. (2022) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-022-01411-y · Cited by 3
Significance of pancreatic duodenal homeobox-1 (PDX-1) genetic polymorphism in insulin secretion in Japanese patients with type 2 diabetes
Okura, T., Nakamura, R., Ito, Y., Kitao, S., Anno, M., Endo, S., Taneda, N., Matsumoto, K., Shoji, K., Okura, H., et al. (2022) · BMJ Open Diabetes Research & Care · doi:10.1136/bmjdrc-2022-002908 · Cited by 5
Evaluation of a Diabetes Prevention Intervention for Korean American immigrants at Risk for Diabetes
Kwon, S. C., Wyatt, L. C., Kum, S. S., Zanowiak, J. M., Kim, S. S., Yi, S. S., Min, D., Lee, L. S., & Islam, N. S. (2022) · Health Equity · doi:10.1089/heq.2021.0137 · Cited by 9
A Systematic Mapping Study on the Risk Factors Leading to Type II Diabetes Mellitus
Musafer, K. N. J., Huyop, F., Ewadh, M., Supriyanto, E., & Rava, M. (2020) · Karbala International Journal of Modern Science · doi:10.33640/2405-609x.1677 · Cited by 8
The diagnosis and evaluation of patients with obesity
Garvey, W. T. (2018) · Current Opinion in Endocrine and Metabolic Research · doi:10.1016/j.coemr.2018.10.001 · Cited by 7
The potential role of betatrophin in hepatocellular carcinoma and metabolic syndrome
Susanto, H., Aulanni’am, A., Wang, C.-H., Wuragil, D., Handaya, A., Pertiwi, M. P., & Nisa, S. A. R. (2019) · Journal of Physics, Conference Series · doi:10.1088/1742-6596/1146/1/012003 · Cited by 5
Contrasting Obesity-Related Beliefs and Behaviors among West and East Coast Chinese Americans
Liou, D., & Bauer, K. (2018) · Journal of Food and Nutrition Research · doi:10.12691/jfnr-6-3-5 · Cited by 5
“After adjusting for age and gender, Asians are 30 to 50% more likely to develop type 2 diabetes at lower body mass index levels than non-Hispanic whites [7,12].”
Background
Prevalence of pre-gestational diabetes among the antenatal women attending a tertiary care center
Renji, S., Lekshmi, S., & Chellamma, N. (2017) · doi:10.18203/2320-1770.ijrcog20170466 · Cited by 5
“This is comparable to other studies where it was shown that pregnant women with pregestational diabetes were older and had higher BMI.(8,9)”
Result
Status of Diabetes Care: New Challenges, New Concepts, New Measures—Focusing on the Future!
Cefalu, W. T., Boulton, A. J. M., Tamborlane, W. V., Moses, R. G., LeRoith, D., Greene, E. L., Hu, F. B., Bakris, G. L., Wylie‐Rosett, J., Rosenstock, J., et al. (2015) · Diabetes Care · doi:10.2337/dc15-0875 · Cited by 5
Beyond the BMI: a Critical Analysis of the Edmonton Obesity Staging System and the New Guidelines for Indications for Metabolic and Bariatric Surgery
Pajecki, D., Dantas, A. C. B., Santo, M. A., & Tess, B. H. (2023) · Obesity Surgery · doi:10.1007/s11695-023-06516-3 · Cited by 4
BMI Percentile Cutoffs for Overweight and Obesity Are Set Too High in Terms of Adiposity and Metabolic Markers for Asian Children and Adolescents
Hong, S.-J., Zhang, X.-L., & Hartmann, P. (2025) · Pediatric obesity · doi:10.1111/ijpo.70075 · Cited by 4
“This observation parallels adult studies showing that Asian populations are more susceptible to glucose intolerance and T2DM at lower BMI levels [33] and have a higher prevalence of T2DM even at lower BMI thresholds [34].”
Cardiovascular Disease in South Asian Americans: A Serious Health Concern
Joseph, N. M., Strunk, F. A., Dhar, B., & Strong, L. (2023) · The Journal for Nurse Practitioners · doi:10.1016/j.nurpra.2023.104789 · Cited by 4
Association between different metabolic phenotypes and the development of hypothyroidism: 9 years follow-up of Tehran thyroid study
Abiri, B., Ahmadi, A. R., Mahdavi, M., Hosseinpanah, F., Amouzegar, A., & Valizadeh, M. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1134983 · Cited by 4
“Using a BMI ≥ 25 kg/m(2) as a threshold to define overweight/ obesity seems to be a more reasonable approach (19).”
Background
Using Body Mass Index to Identify and Address Obesity in Asian Americans: One Size Does Not Fit All
Wee, C. C. (2022) · Annals of Internal Medicine · doi:10.7326/m22-2624 · Cited by 4
“The United States did not consistently track the prevalence of overweight and obesity in Asian Americans until the past decade (1).”
BackgroundInfluential
Beta cell function, incretin hormones, and incretin effect in obese children and adolescents with prediabetes
Sakornyutthadej, N., Mahachoklertwattana, P., Chanprasertyothin, S., Pongratanakul, S., Khlairit, P., & Poomthavorn, P. (2021) · Pediatric Diabetes · doi:10.1111/pedi.13303 · Cited by 5
The Association between Trajectories of Anthropometric Variables and Risk of Diabetes among Prediabetic Chinese
Li, F., & Chen, L.-Z. (2021) · Nutrients · doi:10.3390/nu13124356 · Cited by 4
“Abundant evidence pointed out that overweight and obesity are the risk factors of prediabetes [13,14].”
Background
Effects of Body Mass Index and Pay-for-Performance Program on Risk of Death in Patients with Type 2 Diabetes: A Nationwide Cohort Study
Huang, H.-L., Kung, C.-Y., Wang, S.-M., Kung, P.-T., Lin, Y.-H., Chiu, L.-T., & Tsai, W.-C. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18094648 · Cited by 4
“Previous studies have revealed the higher the body mass index (BMI, kg/m2) of an individual, the more likely they are to have metabolic disorders such as diabetes [4,5].”
Background
Progress in Defining the Genetic Contribution to Type 2 Diabetes in Individuals of East Asian Ancestry
Spracklen, C. N., & Sim, X. (2021) · Current Diabetes Reports · doi:10.1007/s11892-021-01388-2 · Cited by 6
Diversity in the risk of type 2 diabetes associated with age, sex, and 1-h post-load plasma glucose levels in the Japanese population with prediabetes
Sasaki, N., Maeda, R., Ozono, R., Nakano, Y., & Higashi, Y. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2021.108780 · Cited by 6
Prevalence of pre diabetes and diabetes mellitus among Al-Azhar University male students Hostel in Cairo Egypt "Cross section study"
Lotfy, A., Hemeda, M., Ali, A., Bauomy, I. M., & Shola, M. G. H. (2020) · Al-Azhar Medical Journal · doi:10.21608/amj.2020.91617 · Cited by 4
Lifestyle for the prevention of type 2 diabetes: what is the role of genetic risk information?
Chen, G.-C., & Qi, Q. (2020) · American Journal of Clinical Nutrition · doi:10.1093/ajcn/nqz350 · Cited by 4
“Distinguishing between adiposity and other behavioral factors may be particularly important for studies of Asian populations who are at greater risk of T2D than Western populations at a given BMI (8).”
Background
Optimal Cut-off Points of BMI WC and WHR for Screening of Pre-Diabetes and Diabetes Over 35 Years Old People
Li, A.-L. (2019) · World Journal of Public Health · doi:10.11648/j.wjph.20190401.11 · Cited by 4
Incidence and Associated Factors of Type 2 Diabetes: A Community-Based Cohort Study in the Central Region of Rural Community in Thailand
Kittithaworn, A., Dy, R., Hatthachote, P., Rangsin, R., Mungthin, M., Narindrarangkura, P., & Piyaraj, P. (2019) · Asia-Pacific journal of public health · doi:10.1177/1010539518822441 · Cited by 4
Dietary Acculturation of Obesity Risk Reduction Behaviors in Chinese Americans
Liou, D., Bauer, K., & Fowler, E. (2018) · Family and Consumer Sciences Research Journal · doi:10.1111/fcsr.12289 · Cited by 4
Blood Pressure Control and Other Quality of Care Metrics for Patients with Obesity and Diabetes: A Population-Based Cohort Study
Fink, J. T., Magnan, E. M., Johnson, H. M., Bednarz, L., Allen, G. O., Greenlee, R. T., Bolt, D. M., & Smith, M. A. (2018) · High Blood Pressure & Cardiovascular Prevention · doi:10.1007/s40292-018-0284-x · Cited by 9
Comment on Hsu et al. BMI Cut Points to Identify At-Risk Asian Americans for Type 2 Diabetes Screening. Diabetes Care 2015;38:150–158
Yi, S. S., Islam, N., & Trinh-Shevrin, C. (2015) · Diabetes Care · doi:10.2337/dc15-0470 · Cited by 4
Incidence Rate and Patterns of Sport Injury among College Students
Haryono, I., Maurice, D., & Prastowo, N. (2019) · Sport Mont · doi:10.26773/smj.191007 · Cited by 4
Association Between Psoriasis Risk and Body Mass Index and Waist Circumference in Diabetes: A Population-Based Cohort Study
Yoo, S., Han, K.-D., & Lee, J. H. (2025) · Annals of Dermatology · doi:10.5021/ad.25.142 · Cited by 3
“Finally, in East Asian populations, visceral adiposity at lower BMI, so called normal-weight obesity, is common and confers insulin resistance and adverse inflammatory profiles, offering a plausible substrate for the J-shape at low BMI 45,46 .”
Incremental risk of developing type 2 diabetes mellitus (T2D) starts at low Body Mass Index (BMI) in Asian Indians: Analysis from India Heart Watch (IHW).
Guptha, L. S., Gupta, R., Sharma, K. K., & Guptha, S. (2025) · Diabetes & metabolic syndrome · doi:10.1016/j.dsx.2025.103299 · Cited by 3
Comparison of Leptin and Tnf-Α Levels in Type 2 Diabetes Mellitus Patients with and Without Obesity
Abbas, A., Suromo, L., Hendrianingtyas, M., Widyastiti, N. S., Retnoningrum, D., & Cahyanti, L. (2024) · Modern Medicine · doi:10.31689/rmm.2024.31.4.325 · Cited by 3
Assessing the therapeutic and toxicological profile of novel GLP-1 receptor agonists for type 2 diabetes
Kukova, L., Munir, K. M., Sayeed, A., & Davis, S. N. (2024) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1080/17425255.2024.2401589 · Cited by 2
“The American Diabetes Association recommends that all Asian Americans with BMI >23 kg/m 2 should be considered for diabetes testing [121].”
Clinical performance and health equity implications of the American Diabetes Association’s 2023 screening recommendation for prediabetes and diabetes
O’Brien, M. J., Zhang, Y., Bailey, S. C., Khan, S. S., Ackermann, R. T., Ali, M. K., Bowen, M. E., Benoit, S. R., Imperatore, G., Holliday, C. S., et al. (2023) · Frontiers in Endocrinology · doi:10.3389/fendo.2023.1279348 · Cited by 3
“Asian adults exhibit a higher percentage of body fat at any BMI relative to White adults, as well as higher levels of visceral fat accumulation (28).”
Background
Multi-ancestry Polygenic Mechanisms of Type 2 Diabetes Elucidate Disease Processes and Clinical HeterogeneityPreprint
Smith, K., Deutsch, A., McGrail, C., Kim, H., Hsu, S., Mandla, R., Schroeder, P. H., Westerman, K., Szczerbinski, L., Majarian, T., et al. (2023) · medRxiv · doi:10.1101/2023.09.28.23296294 · Cited by 3
The Difference Levels of Hepcidin and Interleukin-6 between Obese and Non-Obese Type 2 Diabetes Mellitus
Maherdika, M., Samsuria, I., Hendrianingtyas, M., Widyastiti, N. S., & Rahayu, M. (2022) · Indonesian Biomedical Journal · doi:10.18585/inabj.v14i1.1780 · Cited by 3
“(4) A research in Japanese, South Asian, and Southeast Asian ethnics shows the cut-off BMI 25 kg/m2 is the threshold for diabetes risk.(5) Hepcidin is a hormone that regulates iron homeostasis which is synthesized in the liver, fat tissue, pancreas, and intestinal cells.”
Background
Bariatric surgery in patients with obstructive sleep apnea
Chen, J. L., Moon, T. S., & Schumann, R. (2022) · International Anesthesiology Clinics · doi:10.1097/aia.0000000000000355 · Cited by 4
“9 kg/m(2) and uncontrolled diabetes mellitus type 2, metabolic syndrome, or Asian race (Tables 2, 3).(10,11) Importantly, OSA is considered a serious comorbidity.”
BackgroundInfluential
Differential Cardiometabolic Risk Factor Clustering Across U.S. Asian Ethnic Groups.
Kizzee, O. P., Lo, J. C., Ramalingam, N., Rana, J., & Gordon, N. (2021) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2021.07.008 · Cited by 3
Living Environment Considerations on Obesity Prevention Behaviors and Self-Efficacy among Chinese Americans
Liou, D., & Karasik, J. A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18179322 · Cited by 3
A Comprehensive Overview of the Physical Health of the Adolescent Brain Cognitive Development Study (ABCD) Cohort at BaselinePreprint
Palmer, C., Sheth, C., Marshall, A., Adise, S., Baker, F., Chang, L., Clark, D., Dagher, R., Dowling, G., Gonzalez, M., et al. (2021) · bioRxiv · doi:10.1101/2021.06.30.450555 · Cited by 3
“This may explain why Asians appear to develop type 2 diabetes at a lower BMI than Whites [69].”
Background
BIOLOGICAL ASSOCIATIONS BETWEEN RESISTIN, ADIPONECTIN, VISFATIN AND GHRELIN HORMONES WITH SOME COAGULATION MARKERS
Hayder, Z., & Kareem, Z. S. (2021) · doi:10.36103/ijas.v52i1.1241 · Cited by 3
“The result of high visfatin in ESRD group was in agreement with the results obtained by (2,11).”
Result
Branched-chain and aromatic amino acids and cardiometabolic risk in Black African and Asian Indian populations
Khambule, L., Snyman, T., Norris, S. A., Crowther, N. J., & George, J. A. (2020) · Metabolomics · doi:10.1007/s11306-020-01734-7 · Cited by 3
“Studies have also shown that AIs have a different body fat composition than other populations, with higher levels of visceral adipose tissue (Hsu et al. 2015; WHO Expert Consultation 2004).”
Background
Bodyweight Misperception by Chinese American Females Influenced by Cultural and Social Ideals: Implication for Home Health Care
Tock, W., Tung, W.-C., Holston, E., & Hsu, Y.-W. (2020) · Home Health Care Management & Practice · doi:10.1177/1084822319893993 · Cited by 3
“Asians have a high propensity for developing visceral fat, which is not reflected in the conventional BMI cut point for measuring body composition.(17) Therefore, a revised classification scale has been devised specifically for persons of Asian descent (Table 2).”
Background
Diet, Secondhand Smoke, and Glycated Hemoglobin (HbA1c) Levels among Singapore Chinese Adults
Moore, B. F., Butler, L. M., Bachand, A. M., Salim, A., Reynolds, S. J., Wang, R., Nelson, T. L., Peel, J. L., Murphy, S. E., Koh, W., et al. (2019) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph16245148 · Cited by 3
“These categories correspond to an elevated risk for chronic disease among Asian populations [26].”
Background
Cardiometabolic risk reduction after metabolic surgery
Pareek, M., & Bhatt, D. L. (2019) · Current Opinion in Cardiology · doi:10.1097/hco.0000000000000683 · Cited by 3
Prediabetes, diabetes, and other CVD-related conditions among Asian populations in Los Angeles County, 2014
Zheng, G., Family, L., Hsu, S., Rivera, J., Mondy, C., Cloud, J. M., Frye, D. M., Smith, L. V., & Kuo, T. (2019) · Ethnicity and Health · doi:10.1080/13557858.2017.1373076 · Cited by 3
“To help remedy this, the American Diabetes Association (ADA) recently recommended changing the BMI cut point for diabetes screening among Asians to start at 23 kg/m2 as compared to 25 kg/m2 for non-Asians (Hsia et al. 2015; Hsu et al. 2015; Wong et al. 2014).”
Background
“We (Tong) Chinese”: Contemporary identity positioning through health management among Cantonese Chinese Americans
Leung, G., Ho, E. Y., Chi, H.-L., Huang, S., Ting, I., Chan, D., Chen, Y., Zhang, H., Pritzker, S. E., Hsieh, E., et al. (2018) · Journal of International and Intercultural Communication · doi:10.1080/17513057.2018.1487071 · Cited by 3
Outcome Analysis of Patients with Gallstone Disease Receiving Cholecystectomy: A Population-Based Cohort Study
Kiu, K.-T., Chen, H.-L., Huang, M.-T., Sung, C., Liaw, Y., Chang, C.-C., Wang, Y.-H., & Chen, H.-A. (2017) · Digestion · doi:10.1159/000455072 · Cited by 3
Common variants of HNF1A gene are associated with diabetic retinopathy and poor glycemic control in normal-weight Japanese subjects with type 2 diabetes mellitus.
Morita, K., Saruwatari, J., Tanaka, T., Oniki, K., Kajiwara, A., Miyazaki, H., Yoshida, A., Jinnouchi, H., & Nakagawa, K. (2017) · Journal of diabetes and its complications · doi:10.1016/j.jdiacomp.2016.06.007 · Cited by 3
Cardiovascular, Kidney, and Metabolic Network Medicine ― Past, Present, and Future Challenges and Directions ―
Tanaka, A. (2026) · Circulation Journal · doi:10.1253/circj.cj-26-0129 · Cited by 4
Low-Carbohydrate Diet and Metabolic Syndrome Risk in Korean Adults: A Korea National Health and Nutrition Examination Survey Study
Rajaguru, V., Kim, J., Chapagain, D. D., Kim, T. H., Lee, S. G., & Han, W. M. (2026) · Nutrients · doi:10.3390/nu18010178 · Cited by 2
“Given that Koreans may be particularly insulin-sensitive and predisposed to dyslipidemia at lower BMI thresholds [37], even small dietary shifts toward high-fat, low-carbohydrate patterns may disproportionately elevate MetS risk.”
Utilizing a digital cohort to understand the health burden and lifestyle characteristics across the life course in individuals with polycystic ovary syndrome and possible PCOS
Peebles, E., Wang, Z., Dracup, E., Sarcione, C., Curry, C., Abrams, K., Onnela, J., Williams, M. A., Hauser, R., Coull, B., et al. (2025) · Frontiers in Endocrinology · doi:10.3389/fendo.2025.1585628 · Cited by 2
“Rather, the obesity cut off for Asian Americans should be 27 kg/m 2 as opposed to 30 kg/m 2 (36, 37).”
Tangential biopsy angle and needle depth for adequacy and safety outcomes in ultrasound-guided native kidney biopsy—a single-center experience in a high-risk population
Spanuchart, I., Supachokchaiwattana, T., Thammavaranucupt, K., Pichitpichatkul, K., Worawichawong, S., & Bua-ngam, C. (2025) · JN. Journal of Nephrology (Milano. 1992) · doi:10.1007/s40620-025-02362-x · Cited by 2
“It is noteworthy that a significant portion of our patient population met the criteria for obesity based on BMI standards for Asians [10] and had relatively small kidneys with parenchymal thinning.”
Influential
Development of risk prediction equations for 5-year diabetes incidence using Japanese health check-up data: a retrospective cohort study
Kawasoe, S., Kubozono, T., Ojima, S., Yamaguchi, S., Higuchi, K., Miyahara, H., Tokushige, K., Miyata, M., & Ohishi, M. (2025) · BMJ Open · doi:10.1136/bmjopen-2024-097005 · Cited by 2
Unifying Efforts to Empower Equitable Obesity Care: Synopsis of an American College of Physicians and Council of Subspecialty Societies Summit
Wee, C. C., Arbaje, A. I., Bering, H., Blount, L. G., Joseph, J. J., Kahan, S. I., Apovian, C. M., & White-Faines, A. (2025) · Annals of Internal Medicine · doi:10.7326/annals-25-00675 · Cited by 3
Racial and ethnic disparities in the burden of non-obese type 2 diabetes using different anthropometric measurements
Sui, J., Wu, B., Zheng, Y.-G., Mo, Z., Dong, Q.-Y., Ðoàn, L. N., Yi, S. S., & Qi, X. (2024) · Obesity Medicine · doi:10.1016/j.obmed.2024.100573 · Cited by 2
The associated risk factors for type 2 diabetes mellitus among adults: a cross-sectional study using electronic medical records in the Primary Health Care Corporation, Qatar
Elshaikh, U. A. M., Elashie, S., Alhussaini, N. W. Z., Yaseen, M., Mohamed, H. A., Syed, M. A., & Zainel, A. A. (2024) · Discover Health Systems · doi:10.1007/s44250-024-00134-1 · Cited by 2
Characteristics and Prevalence of Metabolic Syndrome Among Adult Filipinos with Hypothyroidism: A Cross-sectional Study
Chiu, H. H. C., Villanueva, E., Larrazabal, R., Arcellana, A., & Jimeno, C. A. (2024) · Journal of the ASEAN Federation of Endocrine Societies · doi:10.15605/jafes.039.01.13 · Cited by 2
“23,24 Hence, in this study, we www.asean-endocrinejournal.org Harold Henrison Chiu, et al Metabolic Syndrome Among Adult Filipinos with Hypothyroidism assessed by the Shapiro-Wilk test for normality and as median and IQR, if otherwise.”
Method
Evaluation of antioxidants and antioxidant capacity among Bangladeshi patients with Type 2 diabetes mellitus
Sheikh, R., Jannat, T., Tamanna, S., Khan, N. I., & Islam, L. N. (2023) · Baghdad Journal of Biochemistry and Applied Biological Sciences · doi:10.47419/bjbabs.v4i04.272 · Cited by 2
“In recent years, Bangladesh has seen a rapid transition due to industrialization, climate change and urbanization towards sedentary lifestyle, and because of high intake of carbohydrate-rich diets, the prevalence of diabetes and OS may be on the rise among young people, which has not been adequately addressed.”
BackgroundInfluential
“Does Religious Service Attendance Modify the Relationship between Everyday Discrimination and Risk of Obesity? Results from the Study on Stress, Spirituality and Health”
Davidson, J. C., Kent, B. V., Cozier, Y. C., Kanaya, A. M., Warner, E. T., Eliassen, A. H., Williams, D. R., & Shields, A. E. (2023) · Journal of Racial and Ethnic Health Disparities · doi:10.1007/s40615-023-01765-5 · Cited by 2
“Asian populations have been noted to experience higher rates of obesity related health concerns (e.g., type-2 diabetes), than Western populations at any BMI [68, 69, 100, 101], supporting the use of a group-specific BMI cut point (27.5 kg/m 2 ) when investigating risk of disease.”
InfluentialSelf-citation
Characterizing Technology Use and Preferences for Health Communication in South Asian Immigrants With Prediabetes or Diabetes: Cross-Sectional Descriptive Study
Hu, L., Wyatt, L., Mohsin, F. M., Lim, S., Zanowiak, J., Mammen, S., Hussain, S., Ali, S. H., Onakomaiya, D., Belli, H. M., et al. (2023) · JMIR Formative Research · doi:10.2196/52687 · Cited by 2
“…of diabetes for at least 12 months (for diabetes study participants); (5) have an HbA 1c of at least 7% in the last 12 months (for diabetes study participants); and (6) have a BMI of ≥ 23 kg/m 2 , as the threshold for overweight for Asian individuals [33] (for prediabetes study participants).”
Background
Predictors of unplanned hospital readmission after non-cardiac surgery in Singapore: a 2-year retrospective review
Low, Z., Liew, L. Q., Chua, V., Chew, S., & Ti, L. (2023) · BMC Surgery · doi:10.1186/s12893-023-02102-7 · Cited by 2
“A lower BMI cut-off value of 27.5 was used in this study in accordance with World Health Organization and American Diabetes Association [26, 27] recommendations for Asian patients, due to a genetic predisposition towards visceral adiposity, higher body fat percentage and increased cardiovascular complications for the…”
MethodInfluential
Differences in diabetes risk factors among Asian Americans
Kwan, P., Watts, J. K., Prudencio, J. M., Chu, L., Co, D. E., & Chen, E. (2022) · Journal of public health · doi:10.1007/s10389-022-01779-z · Cited by 2
“Using body mass index cutoffs specifically adjusted for Asian Americans (Hsu et al. 2015; Suzuki et al. 2007), the average BMI for all Asian groups/categorization ranged from within healthy range (18.5–22.9) to above healthy range normal (23.0–26.9).”
Influential
Sleeve-Plus Procedures in Asia: Duodenojejunal Bypass and Proximal Jejunal Bypass
Lim-Loo, M. B. C., Huang, C.-K., Chan, V., & Chua, K. (2021) · Bariatric Surgery - From the Non-Surgical Approach to the Post-Surgery Individual Care · doi:10.5772/intechopen.96042 · Cited by 2
Comparative Effectiveness of Lifestyle Intervention on Fasting Plasma Glucose in Normal Weight Versus Overweight and Obese Adults With Prediabetes
Salmon, M. K., Gordon, N., Constantinou, D., Reid, K. S., Wright, B. S., Kridl, T. L., & Faircloth, G. C. (2021) · American Journal of Lifestyle Medicine · doi:10.1177/15598276211019012 · Cited by 2
“The relationship between body weight and the prevalence of type 2 diabetes is complex and appears to be modified by race/ethnicity.7 At similar BMIs, type 2 diabetes prevalence is higher in Asians compared with whites.7 This finding may be partly explained by differences in body fat distribution in that Asians have a…”
BackgroundInfluential
Sociodemographic, socioeconomic, and clinical factors associated with diabetes screening in Asian Americans
Tran, P. M., Tran, L., & Tran, L. (2020) · Journal of public health · doi:10.1007/s10389-020-01267-2 · Cited by 2
Behavioural and psychosocial factors associated with 5‐year weight trajectories within the PORTAL Overweight/Obesity Cohort
Fitzpatrick, S., Rosales, A. G., Brown, S. D., Arterburn, D. E., Daley, M. F., Horberg, M., Koebnick, C., Oshiro, C., & Young, D. (2020) · Obesity Science & Practice · doi:10.1002/osp4.411 · Cited by 2
Consideration of Factors Influencing Weight Outcomes among U.S. Racial-Ethnic Minority Populations in the Social Work Literature
Melius, J., Barr-Anderson, D., & Orekoya, O. (2019) · Social Work in Public Health · doi:10.1080/19371918.2019.1575309 · Cited by 2
“…their body fat distribution and relatively higher risk of having type 2 diabetes at Body Mass Index (BMI) levels lower than the cutoffs for obesity (Hsu et al., 2015) The databases of EBSCO HOST, GALE, GOOGLE SCHOLAR, SCIENCE DIRECT, SAGE, PROQUEST, SOCINDEX, and PUBMED were searched using the…”
Method
Integrative Medicine Focus Groups as a Source of Patient Agency and Social Change for Chinese Americans with Type 2 Diabetes
Ho, E. Y., Leung, G., Chi, H.-L., Huang, S., Zhang, H., Ting, I., Chan, D., Chen, Y., Pritzker, S. E., Hsieh, E., et al. (2018) · Communicating for Social Change · doi:10.1007/978-981-13-2005-7_14 · Cited by 2
Relationships of Obesity-Related Behavior Patterns With Socioeconomic Status and Acculturation in Korean American Women
Jang, M., Jeon, S., Nam, S., Song, H.-J., & Whittemore, R. (2018) · Clinical Nursing Research · doi:10.1177/1054773818783467 · Cited by 2
Comparison of Sensitivity of HbA1c with Fasting Blood Glucose for Diagnosing Prediabetes in Chinese Americans
Uribarri, J. (2017) · Current Research in Diabetes & Obesity Journal · doi:10.19080/crdoj.2017.05.555653 · Cited by 2
PLASMA MAGNESIUM STATUS IN TYPE 2 DIABETIC PATIENTS WITH AND WITHOUT DIABETIC NEUROPATHY.
Khalil, F., ElAssal, P., Dabour, P. A. A., ElLatif, L. M., Khamiss, L. A., & abdEl-Hady., A. L. R. (2016) · doi:10.21474/ijar01/2037 · Cited by 2
The Best Central Adiposity Index in the Prediction of Cardiovascular Risk Factors in South-Western Nigeria
Raimi, T., Fasanmade, O., Odusan, O., & Ohwovoriole, A. (2015) · Open Journal of Endocrine and Metabolic Diseases · doi:10.4236/ojemd.2015.512023 · Cited by 2
“Lower cut-off for BMI was also proposed for the Asians who have smaller body frames, are more insulin resistant, and have greater body fat for the same BMI than the Caucasians [35]-[37].”
Background
Epidemiology, Measurement, and Cost of Obesity
Blackstone, R. P. (2016) · Springer eBooks · doi:10.1007/978-3-319-39409-1_1 · Cited by 1
Clinical Definition of Overweight and Obesity
Garvey, W. T. (2018) · Springer eBooks · doi:10.1007/978-3-319-95655-8_7 · Cited by 36
Optimizing Public Health Screening: Population-Specific BMI Thresholds for Targeted Body Composition Assessment in Hungary
Jarecsny, T., Al-Muhanna, N., Fabian, D. R., Kosik, R., Schwab, R., Szőllősi, G., Schandl, L., Tomasics, G., Pázmándi, E. M., Folyovich, A., et al. (2026) · Nutrients · doi:10.3390/nu18091410 · Cited by 1
Cause-specific years of life lost attributable to non-optimal body mass index by county, sex, race, and ethnicity in the USA, 2000–2019: a systematic analysis of health disparities
Collaborators, G. U. H. D., Mouhanna, F., Kahn, E., Schmidt, C. A., McHugh, T. A., Baumann, M. M., Kelly, Y. O., Motte‐Kerr, W. L., Cogen, R. M., Dai, X., et al. (2026) · BMC Medicine · doi:10.1186/s12916-026-04795-y · Cited by 1
“The association between BMI and diabetes has been shown to vary by race and/or ethnicity [108, 110], but there is insufficient evidence to robustly estimate race and/or ethnicity-specific relative risk curves for each health outcome.”
Effectiveness of an online, dyadic, culturally adapted physical activity intervention for south Asian mothers and daughters (SAATH): a randomised controlled trial
Kandula, N., Marquez, D. X., Rastogi, M., Lancki, N., Finch, E. A., Welch, S. B., Vu, M., Davis-Spells, J., Liem, R., Bouris, A., et al. (2026) · The Lancet. Obstetrics, gynaecology, & women's health · doi:10.1016/s3050-5038(25)00171-2 · Cited by 1
The vanishing normal weight: U.S. pregnancy trends by race and ethnicity, 2016–2024
Grünebaum, A., Dudenhausen, J., & Chervenak, F. A. (2026) · Journal of Perinatal Medicine · doi:10.1515/jpm-2025-0721 · Cited by 2
Pattern of Type-II Anti-Diabetes Mellitus Drug Use in Inpatients in Regional General Hospital of NTB Province in 2023
Adinda, P., Hasina, R., & Aini, S. R. (2025) · JURNAL BIOLOGI TROPIS · doi:10.29303/jbt.v25i4.10114
“2020) mengungkapkan bahwa persentase tertinggi, yaitu 65,39%, ditemukan pada insulin kerja cepat.”
Characterization of individuals in whom body weight loss precedes diabetes onset: a retrospective, observational, longitudinal cohort study based on health checkup in Japan
Shikata, M., Oku, M., Fukuhara, S., Ito, R., Haruki, T., Ueda, K., Kimura, I., Teramoto, T., Chujo, D., Iwata, M., et al. (2025) · Endocrine journal · doi:10.1507/endocrj.ej25-0230 · Cited by 1
“Additionally, the risk of developing diabetes increases at a body mass index (BMI) of ≥25 kg/m 2 in Caucasians, whereas in Asians, this risk threshold is lower at a BMI of ≥23 kg/m 2 [11, 12].”
Cold and Hot Consumption and Health Outcomes Among U.S. Asian and White Populations
Wu, T., Ramesh, N., Doyle, C., & Hsu, F.-C. (2025) · British Journal of Nutrition · doi:10.1017/s000711452510514x · Cited by 1
“Asians are more prone to diabetes than Whites, even at similar or lower BMI levels (85,86) , partly due to higher visceral fat and lower muscle mass (87,88) , which may also reduce thermogenic capacity (89,90) .”
The impact of adverse childhood experiences on age of diabetes diagnosis and associations with race and ethnicity
Rice, A., Taylor, M., Hendrix-Dicken, A. D., Elenwo, C., Croff, J., Chalmers, L., Coffey, S., & Hartwell, M. (2025) · Journal of Osteopathic Medicine · doi:10.1515/jom-2025-0044 · Cited by 1
Heterogeneity in BMI Percentile and Weight Status Among Asian American Youth
Deventer, D. V., Sidell, M. A., Lee, C., Young, D. R., Hedderson, M. M., Cohen, D. A., Liu, E. F., Barton, L. J., Inzhakova, G., & Han, B. (2025) · AJPM Focus · doi:10.1016/j.focus.2025.100381 · Cited by 1
Pregestational BMI Over 23 kg/m2 May Increase Insulin Utilization in Gestational Diabetes Mellitus Patients
Nakamura, R., Ohkura, T., Kitao, S., Izawa, S., Harada, T., Taniguchi, S., Taniguchi, F., Harada, T., & Yamamoto, K. (2024) · Cureus · doi:10.7759/cureus.75612 · Cited by 1
Association between metabolic phenotypes and incident pre-sarcopenia: 3 years follow-up of Tehran Lipid and Glucose Study
Abiri, B., Ahmadi, A. R., Valizadeh, A., Seifi, Z., Hosseinpanah, F., Azizi, F., & Valizadeh, M. (2024) · BMC Public Health · doi:10.1186/s12889-024-20838-6 · Cited by 1
“Utilizing BMI ≥ 25 kg/m 2 as a threshold to define over-weight/obesity appears to be a more reasonable approach [13].”
Impact of Sodium-Glucose Co-Transporter Type-2 Inhibitors on Alanine Aminotransferase Levels in Type-2 Diabetes Patients Having Features of Nonalcoholic Fatty Liver Disease: A Retrospective Cohort Study in Pakistan
Ansari, A. S., Rizwan, A., Khan, U. Z., & Azam, S. I. (2024) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.40.11.8900 · Cited by 1
Association Between Different Metabolic Obesity Phenotypes and Erosive Esophagitis: A Retrospective Study
He, T., Sun, X.-Y., Tong, M., Zhang, M.-J., & Duan, Z. (2024) · Diabetes, Metabolic Syndrome and Obesity : Targets and Therapy · doi:10.2147/dmso.s471499 · Cited by 1
“15,16 The metabolic profiles of the individuals were analyzed according to the criteria of Adult Treatment Panel III.”
Method
Efficacy of Tirzepatide for Weight Loss in China: Implications for the Global Obesity Epidemic.
Qian, F., & Hu, F. B. (2024) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2024.7928 · Cited by 1
Racial and Ethnic Disparities in Diabetes Prevention Outcomes: Insights from the Prediabetes Informed Decisions and Education Study
Castellon‐Lopez, Y., Duru, O. K., Turk, N., Moreno, G., Norris, K. C., VU, A. V., Saju, R., Tseng, C., Jeffers, K. S., Mangione, C. M., et al. (2024) · Health Equity · doi:10.1089/heq.2023.0186 · Cited by 2
Comparative Analysis Of Energy Expenditure Assessments From The Graded Exercise Test Vs. Galaxy Watch And Apple Watch In Korean College Students During A 30-minute Workout: A Pilot Study
Oh, I.-Y., Jeon, J.-J., Kim, J.-B., Hyeon, J.-Y., Yeon, J.-M., Ha, H.-J., Han, S.-M., Kang, D.-G., & So, W.-Y. (2024) · The Asian Journal of Kinesiology · doi:10.15758/ajk.2024.26.1.60 · Cited by 1
“다른 인종과 비교해 더 낮은 체질량지수에서 건강상의 문제가 발생하는 아시아인의 경우, 과체중은 ≥ 23 kg/m 2 , 비만은 ≥25 kg/m 2 를 적용할 것을 권장하기도 한다[6].”
Associations Between Ultra-processed Food Consumption and Cardiometabolic Health Among Older US Adults: Comparing Older Asian Americans to Older Adults From Other Major Race-Ethnic Groups
Elfassy, T., Juul, F., Mesa, R., Palaniappan, L., Srinivasan, M., & Yi, S. S. (2023) · Research on Aging · doi:10.1177/01640275231222928 · Cited by 1
“…need for disaggregated data, several studies have reported differences in health behaviors and health outcomes according to Asian American ethnic group (Choi et al., 2013; Gordon et al., 2019; Hsu et al., 2015; Huang et al., 2013; Jih et al., 2014; Maxwell et al., 2012; Mui et al., 2017, 2018).”
BackgroundResult
The Prevalence of Metabolic Syndrome among Adult Filipinos with Hypothyroidism: A Retrospective Cohort Study
Chiu, H., Larrazabal, R., Arcellana, A., & Jimeno, C. A. (2023) · Acta medica Philippina · doi:10.47895/amp.vi0.4978 · Cited by 1
“19,20 In the Philippines, the Philippine Thyroid Diseases Study (PhilTiDeS 1) showed that thyroid dysfunction was more common among women, with a female to male ratio of 1.6:1.”
BackgroundInfluential
Asian race is not associated with increased 30-day serious complications or mortality: a MBSAQIP analysis of 594,837 patients
Hampton, L., Mocanu, V., Verhoeff, K., Birch, D., Karmali, S., & Switzer, N. (2023) · Surgical Endoscopy · doi:10.1007/s00464-023-09898-8 · Cited by 1
“The literature has demonstrated Asian patients develop type 2 diabetes (DM2) at a younger age and lower body mass index (BMI) than non-Asian patients, and are more likely to suffer from complications of DM2, including increased mortality [2, 3].”
Background
The effect of vitamin D and Physical exercise on glycaemic control in patients with Type 2 Diabetes Mellitus(DM)
Majeed, M., Rasool, S., Nazir, T., & Mohd., A. (2022) · Research Journal of Pharmacy and Technology · doi:10.52711/0974-360x.2022.00788 · Cited by 1
The Correlation between Night Sleep Duration and Physical Activity with Cardiorespiratory Fitness Test Results in Healthy Medical College Students: a Pilot Study
Anderson, T., Trisna, H., & Lilis, L. (2022) · Journal of Anthropology of Sport and Physical Education · doi:10.26773/jaspe.220105 · Cited by 1
Differences in the gut microbiomes of distinct ethnicities within the same geographic area are linked to host metabolic healthPreprint
Ang, Q. Y., Alba, D., Upadhyay, V., Bisanz, J. E., Cai, J., Lee, H. L., Barajas, E., Wei, G., Noecker, C. A., Patterson, A. D., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.10.23.352807 · Cited by 1
South Asians with type 2 diabetes in an urban US Diabetes Center: A cross sectional study of clinical characteristics
Rahman, W., Ahmed, A. A., Poola-Kella, S., & Munir, K. (2020) · Obesity Medicine · doi:10.1016/j.obmed.2020.100267 · Cited by 1
Serum Chemerin Level as Biomarker for Renal Dysfunction in Type II Diabetes
Tahoun, A., Lawah, A. A. E., Eldahshan, M., & Shalaby, A. M. E. S. (2019) · The Egyptian Journal of Hospital Medicine · doi:10.12816/ejhm.2019.49549 · Cited by 1
“(21) confirmed that type 2 diabetic patients predisposed to higher insulin resistance are more likely to develop microalbuminuria.”
Background
Diabetes and Diabetes Care among Nonobese Japanese-Americans: Findings from a Population-Based Study
Kobayashi, K. M., Chan, K. T., Roy, A., Khan, M. M., & Fuller-Thomson, E. (2019) · Advances in Preventive Medicine · doi:10.1155/2019/3650649 · Cited by 1
“), and/or the Indian subcontinent (Pakistan, India, Bangladesh, Nepal, Bhutan, and Sri Lanka) [2].”
BackgroundMethodInfluential
Atherosclerotic cardiovascular disease risk assessment and predictors of statin use in Filipino‐American Women
Borja‐Hart, N., Graff, J., Nolan, V., Wang, J.-J., Cooper-DeHoff, R., & Ancheta, I. B. (2019) · Journal of Clinical Pharmacy and Therapeutics · doi:10.1111/jcpt.12837 · Cited by 1
Leptin as a predictor of anthropometric cutoff points for obesity.
Hingorjo, M. R., Zehra, S., Nadeem, S., & Qureshi, M. (2019) · Pakistan Journal of Pharmaceutical Sciences · doi:10.36721/pjps/32/2/01.03.2019/3900/483-490 · Cited by 1
“Furthermore, regional, ethnic and racial differences call for separate cutoff values individualized to each nation (Hsu et al., 2015).”
Background

Authors: Hsu, W. C., Araneta, M. R. G., Kanaya, A. M., Chiang, J. L., & Fujimoto, W.
Affiliations: Joslin Diabetes Center (US)
University of California San Diego (US)
University of California, San Francisco (US)
American Diabetes Association (US)
University of Washington (US)
Corresponding author: Hsu, William C.
ORCID: Araneta, Maria Rosario G.
Kanaya, Alka M.
Chiang, Jane L.
Fujimoto, Wilfred
Venue: Diabetes Care
Publisher: American Diabetes Association
Published: 2014-12-13
Volume: 38
Issue: 1
Pages: 150-158
ISSN: 0149-5992 (ISSN-L)
1935-5548
DOI: 10.2337/dc14-2391
PMC: PMC4392932
OpenAlex: W2138127318
Cited by: 500
References: 60
Citations by year: 2026: 23 · 2025: 20 · 2024: 36 · 2023: 40 · 2022: 50 · 2021: 62 · 2020: 48 · 2019: 52 · 2018: 45 · 2017: 52 · 2016: 37 · 2015: 33 · 2014: 1
FWCI: 6.53
Type: journal article
Language: en
Open access: bronze
doi.org
Locations: Diabetes Care (publishedVersion)
Europe PMC (PubMed Central) (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
eScholarship (California Digital Library) (submittedVersion)
Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders: Diabetes Action Research and Education Foundation
World Health Organization
Women's Health Initiative
National Heart, Lung, and Blood Institute (K24HL112827, R01HL093009)
National Institute of Diabetes and Digestive and Kidney Diseases (P30DK063720)
Topics: Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
Keywords: Asian Americans, type 2 diabetes, diabetes screening, body mass index, vulnerable populations, ethnic diversity, population growth
MeSH terms: Adult, Aged, Asian, Diabetes Mellitus, Type 2, Female, Humans, Male, Middle Aged, Obesity, Reference Values, Risk Factors, Body Mass Index, Prevalence, Overweight, Waist Circumference

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

BMI Cut Points to Identify At-Risk Asian Americans for Type 2 Diabetes Screening

Abstract

Overview

Integrity signals

Verification

Claims the paper makes

Claims other papers make about this one

Self-check

Citations

Cites

Cited by

Metadata

Record

About these checks