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 accessAbstract
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).
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“In the Asian population the prevalence of diabetes and cardiovascular disease is higher at a lower BMI than in the non-Asian population.”
From 2022 American Society of Metabolic and Bariatric Surgery (ASMBS) and International Federation for the Surgery of Obesity and Metabolic Disorders (IFSO) Indications for Metabolic and Bariatric Surgery (2023) · cites this paper as [41]
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“Recently, the ADA proposed the use of an Asian American-specific BMI cutoff for diabetes screening [35].”
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“Obesity, and the International Obesity Task Force recommend that the BMI value to denote overweight in Asians should be ≥23 kg/m(2),(27) and the American Diabetes Association has recently proposed in its position statement that the specific BMI cut point for diabetes screening should be 23 kg/m(2) in Asian Americans.(…”
BackgroundConsensus on Medical Nutrition Therapy for Diabesity (CoMeND) in Adults: A South Asian Perspective
Kapoor, N., Sahay, R. K., Kalra, S., Bajaj, S., Dasgupta, A., Shrestha, D., Dhakal, G. P., TIWASKAR, M. H., Sahay, M., Somasundaram, N. P., et al. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s278928 · Cited by 43
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“Proper consideration of this issue by European physicians when facing these new patients in their offices might increase opportunities for education, intervention, and behaviour and lifestyle changes [31].”
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“Obese or normal subjects were defined as BMI $27 or BMI #23 kg/m(2), respectively (21,22).”
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“(Japanese, Chinese, Korea and Taiwanese) is different compared with Caucasian and other populations.(1,2) As most Western patients with type 2 diabetes have obesity (defined as body mass index [BMI]”
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“49 kg/m(2) in our study was lower than the cutoff value of 30 kg/m(2) in the general Caucasian population, but it was higher than the cutoff value of less than 25 kg/m(2) in Asian population [7, 34, 35].”
BackgroundBattie, C. A., Borja‐Hart, N., Ancheta, I. B., Flores, R., Rao, G., & Palaniappan, L. P. (2016) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2016.10.003 · Cited by 26
“The DISTANCE study suggested a conventional BMI cut point of 25 kg/m2 as an acceptable threshold to predict DM for South Asians and Southeast Asians (Karter et al., 2013) However, the Women's Health Initiative (Ma et al., 2012), the Seattle Japanese-American Community Diabetes Study (Wander et al., 2013), the multieth…”
BackgroundInfluentialPlasma sphingomyelins increase in pre-diabetic Korean men with abdominal obesity
Im, S., Park, H., Shon, J., Chung, I.-S., Ho, C.-C., Liu, K.-H., & Song, D. (2019) · PLoS ONE · doi:10.1371/journal.pone.0213285 · Cited by 27
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“Normal or lean subjects were defined as those with a BMI < 23 kg/m(2) and overweight and obese subjects were defined as those with a BMI ≥ 23 kg/m(2) [20].”
BackgroundHsia, D., Larrivee, S., Cefalu, W., & Johnson, W. (2015) · Diabetes Care · doi:10.2337/dc15-0299 · Cited by 27
“Evidence has shown that this population is at increased risk for diabetes at lower BMI levels relative to the general population (2).”
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“BMI was calculated by dividing weight in kilograms by height in metres squared.”
BackgroundInfluentialSamson, S. L., Vellanki, P., Blonde, L., Hirsch, I. B., Hoang, T. D., Isaacs, S. D., Izuora, K. E., Wang, C. C. L., Ooi, C. P., Padilla, B. I., et al. (2026) · Endocrine Practice · doi:10.1016/j.eprac.2026.01.006 · Cited by 29
Mitsuhashi, K., Hashimoto, Y., Tanaka, M., Toda, H., Matsumoto, S., Ushigome, E., Asano, M., Yamazaki, M., Oda, Y., & Fukui, M. (2017) · Journal of clinical biochemistry and nutrition · doi:10.3164/jcbn.16-116 · Cited by 26
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Body Mass Index Thresholds for Asians: A Race Correction in Need of Correction?
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Bainey, K. R., Gupta, M., Ali, I. S., Bangalore, S., Chiu, M., Kaila, K., Kaul, P., Khan, N. A., King‐Shier, K. M., Palaniappan, L. P., et al. (2019) · CJC Open · doi:10.1016/j.cjco.2019.09.004 · Cited by 29
“”(28) Although evidence validating these cutoff values is primarily available for SAs living in India,(29) these lower BMI values were also recently adopted by the American Diabetes Association to identify Asian Americans who would benefit from glucose screening.(30) The International Diabetes Federation has defined l…”
BackgroundFujiati, I., Damanik, H. A., Bachtiar, A., Nurdin, A. A., & Ward, P. (2017) · Interventional Medicine & Applied Science · doi:10.1556/1646.9.2017.2.18 · Cited by 25
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“Not only does diabetes occur early in some ethnic groups [2, 3], but there is also a greater predisposition to develop diabetes-related complications [4].”
BackgroundBariatric Surgery: A Perspective for Primary Care
Kizy, S., Jahansouz, C., Wirth, K. M., Ikramuddin, S., & Leslie, D. B. (2017) · Diabetes Spectrum · doi:10.2337/ds17-0034 · Cited by 24
“Gut hormone PYY(3-36) physiologically inhibits food intake.”
Wang, Y., Lin, H., Li, Q., Guan, L., Zhao, M., Zhong, F., Liu, J., Yuan, Z.-S., Guo, H.-L., Song, Y., et al. (2021) · Endocrine · doi:10.1007/s12020-021-02677-2 · Cited by 23
Ji, L., Chan, J. C. N., Yu, M., Yoon, K., Kim, S. G., Choi, S. H., Huang, C., Tu, S., Wang, C., Paldánius, P. M., et al. (2020) · Diabetes Obesity and Metabolism · doi:10.1111/dom.14205 · Cited by 24
“Obesity reflected by high body mass index (BMI) is closely linked to diabetes risk, albeit this risk association occurs at a much lower BMI in East Asians compared with their Caucasian counterparts.(10,11) Most experts accept BMI ≥23 and ≥25 kg/m(2) to be the cut-off values for defining overweight and obesity, respect…”
BackgroundSaisho, Y. (2020) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2020.1776262 · Cited by 28
Chen, L., Fung, S. M., Fok, D., Leong, L. P., Toh, J. Y., Lim, H. X., Pang, W. W., Tan, K. H., Chong, Y. S., Yap, F. K. P., et al. (2019) · Nutrients · doi:10.3390/nu11030535 · Cited by 26
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Diabetes Prevalence and Risk Factors in Four Asian American Communities
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“Our findings support the use of a BMI cut-point of 23 [30, 31] as indicating increased risk of diabetes (BMI 23 up to 25 vs.”
Lee, D., Jung, K. Y., Park, K. S., Kim, K. M., Moon, J. H., Lim, S. K., Chul, J. H., & Choi, S. H. (2015) · Endocrinology and Metabolism · doi:10.3803/enm.2015.30.4.514 · Cited by 22
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Cardiovascular Risk Management in the South Asian Patient: A Review
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“Similarly, the American Diabetes Association has also recommended clinicians consider testing for DM in all Asian American adults who present with a BMI ≥23 kg/m2 [40].”
BackgroundAnyanwu, O. A., Folta, S. C., Zhang, F. F., Chui, K. K. H., Chomitz, V. R., Kartasurya, M. I., & Naumova, E. N. (2022) · Current Developments in Nutrition · doi:10.1093/cdn/nzac091 · Cited by 27
“50, based on the Asian population cutoffs (23).”
BackgroundHockett, C. W., Praveen, P. A., Ong, T. C., Amutha, A., Isom, S. P., Jensen, E. T., D'Agostino, R. B., Hamman, R. F., Mayer‐Davis, E. J., Lawrence, J. M., et al. (2020) · Pediatric Diabetes · doi:10.1111/pedi.12981 · Cited by 25
“A recent article by Hsu et al discusses the need for different BMI cut points to identify at-risk Asian Americans for T2D screening.(31) This is supported by previous TABLE 1 Demographic characteristics for SEARCH (N = 9725) and YDR (N = 2331) youth by diabetes type, incident years 2006 to 2012”
MethodHood, K. M., Ashcraft, J., Watts, K., Hong, S., Choi, W., Heymsfield, S., Gautam, R., & Thomas, D. M. (2019) · Nutrition & Diabetes · doi:10.1038/s41387-018-0068-3 · Cited by 21
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“…in Japanese and Asian people, including Japanese people, even if their BMI is much lower than that of obese Western people; therefore, insulin resistance might be associated with visceral fat accumulation in some of these patients, although they are usually categorized by BMI as non-obese 5,33,34 .”
BackgroundScreening for Prediabetes and Diabetes: Clinical Performance and Implications for Health Equity
O’Brien, M. J., Zhang, Y., Bailey, S. C., Khan, S. S., Ackermann, R. T., Ali, M. K., Benoit, S. R., Imperatore, G., Holliday, C. S., & Bullard, K. M. (2023) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2023.01.007 · Cited by 23
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Culture and Diet Among Chinese American Children Aged 9–13 Years: A Qualitative Study
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Machine learning in metastatic cancer research: Potentials, possibilities, and prospects
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“As a case in point, Asians have been observed to have higher visceral body fat vis-a-vis a lower body-mass index which makes them to be at risk of diabetes [130], while people of sub-Saharan African descent on the other hand generally have a higher muscle mass which can influence renal function [131].”
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“The caveat is that visceral fat accumulation is often noted in Japanese and Asian individuals with BMI lower than that in obese Westerners and insulin resistance may be implicated due to visceral fat accumulation in some of these patients, while they are usually categorized by BMI as non-obese [4, 31, 32].”
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Diabetes: Leveraging the Tipping Point of the Diabetes Pandemic
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“It has been hypothesized that Asians have higher adiposity per unit BMI compared with other racial/ethnic groups, leading to an increased risk of type 2 diabetes at a lower BMI (10,11).”
BackgroundNguyen, M. T., Lian, A., Guilford, F. T., & Venketaraman, V. (2025) · Biomedicines · doi:10.3390/biomedicines13030644 · Cited by 23
Bouchi, R., Kondo, T., Ohta, Y., Goto, A., Tanaka, D., Satoh, H., Yabe, D., Nishimura, R., Harada, N., Kamiya, H., et al. (2024) · Diabetology International · doi:10.1007/s13340-024-00723-8 · Cited by 19
“…often observed in Japanese and Asians, including Japanese, even if their BMI is much lower than that of obese West-erners; therefore, insulin resistance may be associated with visceral fat accumulation in some of these patients, although they are usually categorized by BMI as non-obese [5, 33, 34].”
Social Determinants of Cardiovascular Risk Factors Among Asian American Subgroups
Zhu, A., Le, A. D., Li, Y., Palaniappan, L. P., Srinivasan, M., Shah, N. S., Wong, S. S., Elizondo, J. V., Elfassy, T., & Yang, E. (2024) · Journal of the American Heart Association · doi:10.1161/jaha.123.032509 · Cited by 23
“16,17 We also utilized the standard BMI ≥30 kg/m 2 cutoff for obesity to compare for differences.”
MethodFujihara, K., KHIN, L. M., Murai, K., Yamazaki, Y., Tsuruoka, K., Yagyuda, N., Yamazaki, K., Maegawa, H., Tanaka, S., Kodama, S., et al. (2023) · Diabetes Obesity and Metabolism · doi:10.1111/dom.15100 · Cited by 22
“In fact, a cut-off BMI of 23 kg/m(2) has been proposed as a convenient practical indicator to screen for diabetes in Asian populations.(18) The Japan Diabetes Clinical Data Management Study Group (JDDM) is one of the largest cohorts of Japanese people with diabetes and includes 108 leading clinical diabetologists in 1…”
BackgroundPrevalence of Elevated Alanine Aminotransferase in Adolescents in the United States 2011–2018
Mischel, A. K., Liao, Z.-L., Cao, F., Dunn, W., Lo, J. C., Newton, K., Goyal, N. P., Yu, E. L., & Schwimmer, J. (2023) · Journal of Pediatric Gastroenterology and Nutrition - JPGN · doi:10.1097/mpg.0000000000003795 · Cited by 18
“Asian adults are known to have increased metabolic risk at lower BMI levels, including diabetes and cardiovascular disease (22), prompting a BMI threshold of BMI of >23 kg/m(2) recommended for diabetes screening in these populations rather than a BMI of >25 kg/m(2), the standard threshold for overweight or obesity (23…”
BackgroundCheng, A. K. S., Yeoh, E. C. K., Moh, A. M. C., Low, S. K., Tan, C. H., Lam, B. C. C., Sum, C. F., Subramaniam, T., & Lim, S. C. (2022) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2022.109900 · Cited by 23
Educational Attainment and Prevalence of Cardiovascular Health (Life’s Simple 7) in Asian Americans
Alam, M. T., Echeverría, S. E., DuPont‐Reyes, M. J., Vásquez, E., Murillo, R., Gonzalez, T. M., & Rodríguez, F. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041480 · Cited by 16
“The American Diabetes Association recommends screening for diabetes with a BMI as low as 23 [36].”
BackgroundWei, L.-M., Cheng, X., Luo, Y., Yang, R., Lei, Z., Jiang, H., & Chen, L. (2020) · Diabetes & Metabolism · doi:10.1016/j.diabet.2020.08.008 · Cited by 18
Bae, J., Cho, N., Kim, J. H., Hur, K., Jin, S.-M., & Lee, M.-K. (2020) · Endocrinology and Metabolism · doi:10.3803/enm.2020.35.2.416 · Cited by 18
“However, for Asian American, these BMI values are lower to ≥23 kg/m(2) because BMI cut points with a sensitivity of 80% fall consistently between 23 and 24 kg/m(2) for nearly all Asian American subgroups [11,17].”
BackgroundO’Brien, M. J., Bullard, K. M., Zhang, Y., Gregg, E. W., Carnethon, M. R., Kandula, N. R., & Ackermann, R. T. (2018) · Journal of General Internal Medicine · doi:10.1007/s11606-018-4436-4 · Cited by 18
Nadimpalli, S. B., Dulin, A., Salas, C., Kanaya, A. M., & Kandula, N. R. (2016) · Journal of Immigrant and Minority Health · doi:10.1007/s10903-016-0413-3 · Cited by 23
Self-citationAfable, A., Ursua, R. A., Wyatt, L., Aguilar, D. E., Kwon, S., Islam, N., & Trinh-Shevrin, C. (2016) · Family & Community Health · doi:10.1097/fch.0000000000000086 · Cited by 18
Prevalence of Diabetes in the United States: A Glimmer of Hope?
Herman, W., & Rothberg, A. (2015) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2015.10030 · Cited by 18
Chang, C.-W., Tai, H.-C., Cheng, N.-C., Li, W.-T., Lai, H., & Chien, H.-F. (2017) · Journal of the Formosan Medical Association = Taiwan yi zhi · doi:10.1016/j.jfma.2016.01.012 · Cited by 18
“Although Asian Americans had a lower prevalence of obesity (w10%) compared with the entire US population (w35%), diabetes risk in Asia Americans has increased with BMI significantly lower than usual defined figure of 30 kg/m(2).(15) This paradox may explain why East Asian people have more body fat than white people wi…”
BackgroundSlightly increased BMI at young age is a risk factor for future hypertension in Japanese men
Someya, Y., Tamura, Y., Kohmura, Y., Aoki, K., Kawai, S., & Daida, H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191170 · Cited by 17
Brown, J., Kapurubandara, S., & McGee, T. M. (2020) · Australian and New Zealand Journal of Obstetrics and Gynaecology · doi:10.1111/ajo.13077 · Cited by 16
Practical Approaches to Treating Obesity: Patient and Healthcare Professional Perspectives
O'Shea, D. B., Kahan, S. I., Lennon, L., & Breen, C. (2021) · Advances in Therapy · doi:10.1007/s12325-021-01748-0 · Cited by 17
Yokote, K., Sano, M., Tsumiyama, I., & Keefe, D. (2020) · Diabetes, obesity and metabolism · doi:10.1111/dom.14006 · Cited by 16
Peer, N., Balakrishna, Y., de Villiers, A., & Naidoo, P. (2018) · PLoS ONE · doi:10.1371/journal.pone.0202899 · Cited by 16
Furukawa, Y., Tamura, Y., Takeno, K., Funayama, T., Kaga, H., Suzuki, R., Watanabe, T., Kakehi, S., Kanazawa, A., Kawamori, R., et al. (2017) · Journal of Diabetes Investigation · doi:10.1111/jdi.12731 · Cited by 16
“In comparison, it is not uncommon for Asian people with normal BMI (<25 kg/m(2)) to develop type 2 diabetes mellitus.(2,3) Whereas this feature in Asian type 2 diabetes could be explained by decreased pancreatic b-cell function,(3) it could also be due to substantial differences in insulin resistance between Asians an…”
BackgroundCorrelates and prevalence of hypogonadism in patients with early‐ and late‐onset type 2 diabetes
Li, Y., Zhang, M., Liu, X., Cui, W., Rampersad, S., Li, F., Lin, Z., Yang, P., Li, H., Sheng, C., et al. (2017) · Andrology · doi:10.1111/andr.12360 · Cited by 15
“53.2 15 <0.001 BMI (kg/m2) (Hsu et al., 2015) 27.21 5.44 24.91 3.29 <0.001 <24% 28.9 39.2 0.003 24–27.9% 35.1 45.4 28% 36 15.4 SBP (mmHg) 130.01 13.96 139.75 20.73 <0.001 DBP (mmHg) 79.85 12.11 76.69 12.39 0.059 Data are presented as mean SD. BMI, body mass index; SBP, systolic blood pressure; DBP,…”
InfluentialDas, A. K., Saboo, B., & Unnikrishnan, A. (2021) · Diabetes Metabolic Syndrome and Obesity · doi:10.2147/dmso.s294842 · Cited by 21
Tang, M. L., Zhou, Y., Song, A. Q., Wang, J., Wan, Y. P., & Xu, R. (2021) · Journal of Diabetes Research · doi:10.1155/2021/5581349 · Cited by 14
Lim, S., Wyatt, L. C., Mammen, S., Zanowiak, J. M., Mohaimin, S., Goldfeld, K. S., Shelley, D., Gold, H. T., & Islam, N. S. (2019) · Trials · doi:10.1186/s13063-019-3711-y · Cited by 15
Contextual cues as modifiers of cTBS effects on indulgent eating
Safati, A., & Hall, P. (2019) · bioRxiv · doi:10.1101/538439 · Cited by 15
“4 for Asian and South Asian participants).[87]”
Ellulu, M. S. (2018) · Osong Public Health and Research Perspectives · doi:10.24171/j.phrp.2018.9.6.02 · Cited by 15
“Furthermore, Hsu et al [67] directly linked increased weight and BMI to diabetes in different ethnic groups for Asian populations.”
BackgroundKatigbak, C., Flaherty, E., Chao, Y., Nguyen, T., Cheung, D., & Kwan, R. Y.-C. (2018) · Journal of Cardiovascular Nursing · doi:10.1097/jcn.0000000000000459 · Cited by 15
An Examination of Stroke Risk and Burden in South Asians.
Singh, V., Prabhakaran, S., Chaturvedi, S., Singhal, A., & Pandian, J. (2017) · Journal of Stroke & Cerebrovascular Diseases · doi:10.1016/j.jstrokecerebrovasdis.2017.04.036 · Cited by 15
Park, J., Kim, J. S., Kim, S. H., Lim, S. Y., Lim, S. Y., Lim, H.-E., Cho, G., Sung, K., Kim, J.-Y., Baik, I., et al. (2017) · Cardiovascular Diabetology · doi:10.1186/s12933-017-0519-5 · Cited by 15
“Subjects with BMI ≥23 kg/m2 were regarded as overweight according to Asian criteria [12].”
MethodTan, B. Y., Yang, S.-Y., Pereira, M. J., Tan, C.-Y., Joo, L. C., Poh-Hwee, N. J., Thiam, L. K., Hao, P.-Y., Briggs, A. M., Hunter, D. J., et al. (2024) · Osteoarthritis and Cartilage · doi:10.1016/j.joca.2024.04.018 · Cited by 14
Linker histone variant H1.2 is a brake on white adipose tissue browning
Yuan, Y.-M., Fan, Y., Zhou, Y.-H., Qiu, R., Kang, W., Liu, Y., Chen, Y., Wang, C.-Y., Shi, J.-J., Liu, C., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39713-w · Cited by 14
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“Overweight/obesity was described as BMI ≥ 25 kg/m2 [18].”
BackgroundShetty, N. S., Patel, N., Gaonkar, M. P., Kalra, R., Li, P., Pavela, G., Arora, G., & Arora, P. K. (2023) · American Journal of Preventive Cardiology · doi:10.1016/j.ajpc.2023.100509 · Cited by 16
“The recognition of individualized BMI cut-offs for Asian American individuals is a step in the right direction [7,54,55].”
BackgroundChanges in diet and food shopping behaviors among Asian–American adults due to COVID‐19
Rummo, P. E., Naik, R., Thorpe, L., & Yi, S. S. (2021) · Obesity Science & Practice · doi:10.1002/osp4.485 · Cited by 14
Rodríguez, L. A., Bradshaw, P. T., SHIBOSKI, S. C., Fernández, A., Vittinghoff, E., Herrington, D. M., Ding, J., & Kanaya, A. M. (2020) · Diabetic Medicine · doi:10.1111/dme.14377 · Cited by 14
Self-citationDietary policies and programs in the United States: A narrative review
Russo, R. G., Li, Y., Chong, S. K., Siscovick, D. S., Trinh‐Shevrin, C., & Yi, S. S. (2020) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2020.101135 · Cited by 14
“Whites, Hispanics, and Asians were included less frequently in faith-based studies, and NH/PI and AI/AN were not included at all.”
BackgroundInfluentialOniki, K., Nohara, H., Nakashima, R., Obata, Y., Muto, N., Sakamoto, Y., Ueno-Shuto, K., Imafuku, T., Ishima, Y., Watanabe, H., et al. (2020) · Scientific Reports · doi:10.1038/s41598-020-62872-5 · Cited by 14
A body mass index over 22 kg/m2 at college age is a risk factor for future diabetes in Japanese men
Someya, Y., Tamura, Y., Kohmura, Y., Aoki, K., Kawai, S., Daida, H., & Naito, H. (2019) · PLoS ONE · doi:10.1371/journal.pone.0211067 · Cited by 14
Marshall, C. J., Adams, S. R., Dyer, W., & Schmittdiel, J. A. (2017) · Women s Health Issues · doi:10.1016/j.whi.2017.06.001 · Cited by 16
Kato, K., Suzuki, K., Aoki, C., Sagara, M., Niitani, T., Wakamatsu, S., Yanagi, K., & Aso, Y. (2017) · Expert Opinion on Pharmacotherapy · doi:10.1080/14656566.2017.1317748 · Cited by 14
“Recently, the American Diabetes Association (ADA) suggested that Asian-Americans have a higher prevalence of type 2 diabetes at a relatively lower BMI cut-off point, compared with the White population [7].”
BackgroundSonography Predicts Liver Steatosis in Patients With Chronic Hepatitis B
Kelly, E., Feldstein, V., Etheridge, D., Hudock, R., & Peters, M. (2017) · Journal of ultrasound in medicine · doi:10.7863/ultra.16.04076 · Cited by 14
Chiu, C.-J., Li, S.-L., Wu, C.-H., & Du, Y.-F. (2016) · Journal of general internal medicine · doi:10.1007/s11606-016-3750-y · Cited by 14
“Moreover, studies based on Western populations may not accurately represent patterns of body weight changes prior to diabetes diagnosis in Asians—a population in which BMI predicts outcomes differently9–11 and in which at similar BMI levels the prevalence of diabetes has been shown to be higher compared to Caucasians.…”
Influential
Metadata
- 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.
- 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
- 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
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