Assessing different anthropometric indices and their optimal cutoffs for prediction of type 2 diabetes and impaired fasting glucose in Asians: The Jinchang Cohort Study

Ding, Jie; Chen, Xiaoliang; Bao, Kaifang; Yang, Jing; Liu, Nian; Huang, Wenya; Huang, Peiyao; Huang, Junjun; Jiang, Nan; Cao, Jianhua; Cheng, Ning; Wang, Minzhen; Hu, Xiaobin; Zheng, Shan; Bai, Yana

doi:10.1111/1753-0407.13000

Cited by 16 publications

(20 citation statements)

References 36 publications

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“…In our study, the diagnostic values of WHpR and WHtR in identifying high risk people for DM were relatively similar. The diagnostic value of WHtR in Chinese cohort study was reported 0.679 that was in parallel with our nding(AUC: 0.666) [36].A recent study in middle east region showed WHtR can better predict the risk of DM and also HTN [37]. Finding from a population based study of 1852 Iranian males aged ≥ 20 years showed WHtR was a strong predictor for developing type 2 diabetes in the future [29].…”

Section: Roc Curve Analysissupporting

confidence: 84%

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Hasandokht¹,

Joukar²,

Marroufizadeh³

et al. 2020

Preprint

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Background: To determine prevalence of high risk individuals for diabetes mellitus (DM) and pre DM based on American Diabetes Association (ADA) risk score among Iranian people. Methods: Present study was based on 7989 non diabetic subjects aged 35–70 years from 10520 PERSIAN Guilan Cohort Study (PGCS) participants. ADA risk score was calculated for every individual through online calculator. Receiver operating characteristic (ROC) curves was used to study diagnostic accuracy of the anthropometric indices for detecting individuals with high risk ADA score for developing DM, represented by area under the curve (AUC).Results: From 7989 study subjects, ADA risk score found 3874 (48.5%) and 19122 (23%) at risk for developing PreDM and DM, respectively. The results of ROC curve analyses showed the highest diagnostic value was related to waist circumference (WC) followed by Body Mass Index (BMI) (0.695 and 0.693, respectively). The cut-points of WC and BMI for identifying high risk people for DM were 97 and 29, respectively.Conclusions: A large number of our participants had high ADA risk score for developing DM and PreDM that provide the importance of prevention strategies. WC seems to be highest diagnostic value in identifying people (men and women) with DM.

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Section: Roc Curve Analysissupporting

confidence: 84%

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Hasandokht¹,

Joukar²,

Marroufizadeh³

et al. 2020

Preprint

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“…Their findings further suggest that IR is closely related to pre-diabetes. BMI is the simplest anthropometric indicator, and it is often used to assess obesity and the risk of metabolic diseases [ 31 ]. TyG-BMI is a newly developed obesity-related parameter in recent years.…”

Section: Discussionmentioning

confidence: 99%

Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes

et al. 2021

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Background Triglyceride glucose-body mass index (TyG-BMI) has been recommended as an alternative indicator of insulin resistance. However, the association between TyG-BMI and pre-diabetes remains to be elucidated. Methods More than 100,000 subjects with normal glucose at baseline received follow-up. The main outcome event of concern was pre-diabetes defined according to the diagnostic criteria recommended by the American Diabetes Association (ADA) in 2018 and the World Health Organization (WHO) in 1999. A Cox proportional hazard regression model was used to evaluate the role of TyG-BMI in identifying people at high risk of pre-diabetes. Results At a mean observation period of 3.1 years, the incidence of pre-diabetes in the cohort was 3.70 and 12.31% according to the WHO and ADA diagnostic criteria for pre-diabetes, respectively. The multivariate Cox regression analysis demonstrated that TyG-BMI was independently positively correlated with pre-diabetes, and there was a special population dependence phenomenon. Among them, non-obese people, women and people under 50 years old had a significantly higher risk of TyG-BMI-related pre-diabetes (P-interaction< 0.05). Conclusions These findings suggest that a higher TyG-BMI significantly increases an individual’s risk of pre-diabetes, and this risk is significantly higher in women, non-obese individuals, and individuals younger than 50 years of age.

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“…This may be partly attributed to the fact that only studies published in English were included. The risk of obesity associated disease is increased in Asian populations at a lower BMI compared to other ethnic groups, 114,115 with lower BMI cutoffs for overweight and obesity across Asian‐Pacific countries 116–118 . The inclusion criterion for this review rendered several studies targeted at addressing overweight and obesity in men from Asian countries ineligible due to having a lower BMI criterion 119–126 …”

Section: Discussionmentioning

confidence: 99%

A systematic review examining socioeconomic factors in trials of interventions for men that report weight as an outcome

et al. 2022

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Summary Weight management interventions designed specifically for men have become more common, but the extent to which socioeconomic factors are considered in trials of these interventions is unclear. We synthesized study characteristics, methods, and reporting of interventions with a behavioral component for men that report weight as an outcome, to establish the extent to which socioeconomic factors are considered during intervention design, conduct, and reporting. A comprehensive search was conducted on Medline, Embase, PsycINFO, and CENTRAL for studies published from January 2000 to July 2021. Thirty‐six trials were included. Educational attainment (n = 24) was the most frequently reported socioeconomic characteristic, followed by working status (n = 14) and area level deprivation (n = 12). Seven studies did not report any socioeconomic characteristics. Most studies (n = 20) did not mention the socioeconomic profile of their samples in relation to study strengths or limitations. Few (n = 4) consulted with men from lower socioeconomic groups during intervention design. One study examined potential differential intervention effects across socioeconomic groups, with most not powered to do so. Recent feasibility trials (n = 3) targeting specific socioeconomic groups suggest a potential nascent towards a greater consideration of factors related to equity. To best inform public health policy related to health inequalities, greater consideration of socioeconomic factors is required in trials of men's weight management interventions.

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Assessing different anthropometric indices and their optimal cutoffs for prediction of type 2 diabetes and impaired fasting glucose in Asians: The Jinchang Cohort Study

Cited by 16 publications

References 36 publications

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Detection of High Risk People for Diabetes by American Diabetes Association Risk Score in PERSIAN Guilan Cohort Study

Triglyceride glucose-body mass index in identifying high-risk groups of pre-diabetes

A systematic review examining socioeconomic factors in trials of interventions for men that report weight as an outcome

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