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Comparison of race- and ethnicity-specific BMI cutoffs for categorizing obesity severity: a multicountry prospective cohort study.
Wang, Sujing; Shen, Jie; Koh, Woon-Puay; Yuan, Jian-Min; Gao, Xiang; Peng, Yinshun; Xu, Yaqing; Shi, Shuxiao; Huang, Yue; Dong, Ying; Zhong, Victor W.
Afiliação
  • Wang S; Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Shen J; Medical Records and Statistics Office, Shanghai Sixth People's Hospital of Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Koh WP; Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Yuan JM; UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Gao X; Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
  • Peng Y; Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
  • Xu Y; Department of Nutrition and Food Hygiene, School of Public Health, Institute of Nutrition, Fudan University, Shanghai, China.
  • Shi S; Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Huang Y; Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Dong Y; Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Zhong VW; Department of Epidemiology and Biostatistics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Obesity (Silver Spring) ; 32(10): 1958-1966, 2024 Oct.
Article em En | MEDLINE | ID: mdl-39223976
ABSTRACT

OBJECTIVE:

The objective of this study was to compare race- and ethnicity-specific BMI cutoffs for the three classes of obesity based on equivalent risk of type 2 diabetes (T2D).

METHODS:

Participants without T2D were included from the UK Biobank, the China Health and Nutrition Survey, and the Singapore Chinese Health Study. Poisson regressions with restricted cubic splines were applied to determine BMI cutoffs for each non-White race and ethnicity for equivalent incidence rates of T2D at BMI values of 30.0, 35.0, and 40.0 kg/m2 in White adults.

RESULTS:

During a median follow-up of 13.8 years among 507,763 individuals, 5.2% developed T2D. In women, BMI cutoffs for an equivalent incidence rate of T2D as observed at 40.0 kg/m2 in White adults were 31.6 kg/m2 in Black, 29.2 kg/m2 in British Chinese, 27.3 kg/m2 in South Asian, 26.9 kg/m2 in Native Chinese, and 25.1 kg/m2 in Singapore Chinese adults. In men, the corresponding BMI cutoffs were 31.9 kg/m2 in Black, 30.6 kg/m2 in British Chinese, 29.0 kg/m2 in South Asian, 29.6 kg/m2 in Native Chinese, and 27.6 kg/m2 in Singapore Chinese adults. The race and ethnicity order was consistent when equivalent BMI cutoffs were estimated for class I and II obesity.

CONCLUSIONS:

Establishing a race- and ethnicity-tailored classification of the three classes of obesity is urgently needed.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Diabetes Mellitus Tipo 2 / Obesidade Limite: Adult / Aged / Female / Humans / Male / Middle aged País como assunto: Asia / Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Índice de Massa Corporal / Diabetes Mellitus Tipo 2 / Obesidade Limite: Adult / Aged / Female / Humans / Male / Middle aged País como assunto: Asia / Europa Idioma: En Ano de publicação: 2024 Tipo de documento: Article