2022_VFA_SPLS

NIAID Data Ecosystem2026-03-13 收录

内脏脂肪分析

代谢疾病风险评估

数据链接：

https://data.mendeley.com/datasets/6rpk7djkzn 数据链接链接失效反馈

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资源简介：

Raw data of our study on visceral fat analysis. All the values are continuous variables, except medical comorbidities and the occurence of incisional hernia which were coded categorically.

创建时间：

2022-05-04

Supplementary Material for: White Rice Intake Varies in Its Association with Metabolic Markers of Diabetes and Dyslipidemia Across Region among Chinese Adults

营养流行病学

代谢疾病风险评估

Background/Aims: There are inconsistent associations between white rice consumption and diabetes and dyslipidemia, perhaps due to the nature of samples studied and quality of diet data. Methods: Using

NIAID Data Ecosystem80

Patient characteristics according to sex and visceral fat area category ( n = 200).

代谢健康评估

内脏脂肪分析

Patient characteristics according to sex and visceral fat area category (n = 200).

NIAID Data Ecosystem40

2022_VFA_SPLS

内脏脂肪分析

手术预后

Raw data of our study on visceral fat analysis. All the values are continuous variables, except medical comorbidities and the occurence of incisional hernia which were coded categorically.

Mendeley Data30

Sensitivity analysis of the multivariate adjusted logistic regression model for the incidence of new-onset diabetes by the combination pattern of obesity and FLI-NAFLD, with a cutoff value of FLI of 35 for men and 20 for women.

代谢疾病风险评估

临床预测模型敏感性分析

NIAID Data Ecosystem40

HR (95% CI) for risk of all-cause mortality by fasting glucose category.

临床流行病学

代谢疾病风险评估

HR (95% CI) for risk of all-cause mortality by fasting glucose category.

Figshare2024-11-19 更新40