Cohort study to determine the waist circumference cutoffs for predicting type 2 diabetes mellitus in rural China.
Diabetes Metab Res Rev
; 34(6): e3007, 2018 09.
Article
em En
| MEDLINE
| ID: mdl-29633484
ABSTRACT
BACKGROUND:
Limited information is available on the cutoffs of waist circumference (WC) for predicting type 2 diabetes mellitus (T2DM). We aimed to define the optimal WC cutoffs for predicting T2DM among rural Chinese people.METHODS:
A cohort of 11 968 participants (732 new-onset T2DM) from a rural area in China with age 18 to 87 years was established at baseline during July to August of 2007 and 2008 and followed up during July to August of 2013 and 2014. Scatterplot, X-tile plot, and receiver operating characteristic (ROC) curve analyses were used to determine WC cutoffs for predicting T2DM.RESULTS:
The WC cutoffs for males and females were 84 and 86 cm (scatterplot), 83 and 88 cm (X-tile plot), and 87 and 88 cm (ROC curve). According to the highest risk score, the optimal WC cutoffs were 87 cm for males and 88 cm for females. With the optimal WC cutoffs, the sensitivity, specificity, positive likelihood ratio, area under the ROC curve, and population-attributable risk proportions were 67.9%, 67.0%, 2.06%, 0.70%, and 46%, respectively, for males and 52.5%, 75.0%, 2.10%, 0.69%, and 34%, respectively, for females; the corresponding adjusted hazard ratio for WC predicting T2DM was 3.66 (95% confidence interval 2.80-4.78) for males and 2.55 (2.08-3.12) for females.CONCLUSIONS:
The optimal WC cutoffs for predicting T2DM were similar between males and females. As well, the criteria of WC for central obesity are no longer practical for predicting T2DM.Palavras-chave
Texto completo:
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Bases de dados:
MEDLINE
Assunto principal:
Pesos e Medidas Corporais
/
Diabetes Mellitus Tipo 2
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Circunferência da Cintura
Tipo de estudo:
Etiology_studies
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Incidence_studies
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Observational_studies
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Prognostic_studies
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Risk_factors_studies
Limite:
Adolescent
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Adult
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Aged
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Aged80
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Female
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Humans
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Male
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Middle aged
País/Região como assunto:
Asia
Idioma:
En
Revista:
Diabetes Metab Res Rev
Assunto da revista:
ENDOCRINOLOGIA
/
METABOLISMO
Ano de publicação:
2018
Tipo de documento:
Article