Ru-lin Ma
Biographic Data
| ID | 7795165 |
|---|---|
| NAME | Ru-lin Ma |
| GIVEN NAMES | Ru-lin |
| FAMILY NAME | Ma |
| SIGNATURE | MA R |
| AFFILIATIONS | Department of Public Health, Shihezi University School of Medicine, Shihezi, Xinjiang, China |
| VERIFIED | No |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 7 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2016 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Comparison of the cumulative exposure to four measures of blood pressure for predicting cardiovascular disease risk in the Chinese Uyghurs
All four cumBP markers were significantly associated with CVD risk in this population. Compared with the other three cumBP measures, cumSBP had the strongest association with CVD events and provided a superior incremental predictive value for CVD events
Comparison of obesity-related indicators for identifying metabolic syndrome among normal-weight adults in rural Xinjiang, China
LAP and TyG index are effective indicators for identifying MetS among normal-weight adults in rural Xinjiang. Nomogram models including age, CI, LAP, and TyG index can significantly improve diagnostic ability
Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: A cohort study based on a southern Xinjiang population
In southern Xinjiang, WC is an independent risk factor for CVD. eCRF is an independent protective factor for CVD. We recommended adding WC and eCRF in the male model and only eCRF in the female model for better risk prediction
Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: A cohort study in rural Xinjiang, China
In the rural areas of Xinjiang, the traditional anthropometric indicators of WC had better ability to predict the incidence of CVD than ABSI
Metabolically healthy obesity and unhealthy normal weight rural adults in Xinjiang: Prevalence and the associated factors
The prevalence of MHO among obese adults in Xinjiang is higher than that of Han adults, while the prevalence of MUNW among normal weight adults is lower than that among Han adults. In obese and normal weight participants, higher age, more red meat consumption, and larger WC increase the risk of metabolic abnormality, and more vegetable consumption reduces the risk of metabolic abnormality
Comparison of Anthropometric and Atherogenic Indices as Screening Tools of Metabolic Syndrome in the Kazakh Adult Population in Xinjiang
According to the IDF, ATP III and JIS criteria, both the WHtR and LAP were better indices for the screening of MetS. The WHtR and LAP parallel test was the most accurate
Interactions of Six SNPs in Abca1gene and Obesity in Low HDL-C Disease in Kazakh of China
The differences in serum lipid levels between normal HDL-C and low HDL-C subjects among Kazakhs might partly result from ABCA1 gene polymorphisms; ABCA1 gene polymorphisms may be associated with low HDL-C disease; the low HDL-C disease might partly result from interactions between ABCA1 gene polymorphisms and obesity; the C-C-C-A-A-G, T-C-C-A-A-A, and T-C-C-A-A-G haplotypes may serve as risk factors of low HDL-C disease among Kazakhs, the C-C-C-A…
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Comparison of Anthropometric and Atherogenic Indices as Screening Tools of Metabolic Syndrome in the Kazakh Adult Population in Xinjiang
According to the IDF, ATP III and JIS criteria, both the WHtR and LAP were better indices for the screening of MetS. The WHtR and LAP parallel test was the most accurate
Interactions of Six SNPs in Abca1gene and Obesity in Low HDL-C Disease in Kazakh of China
The differences in serum lipid levels between normal HDL-C and low HDL-C subjects among Kazakhs might partly result from ABCA1 gene polymorphisms; ABCA1 gene polymorphisms may be associated with low HDL-C disease; the low HDL-C disease might partly result from interactions between ABCA1 gene polymorphisms and obesity; the C-C-C-A-A-G, T-C-C-A-A-A, and T-C-C-A-A-G haplotypes may serve as risk factors of low HDL-C disease among Kazakhs, the C-C-C-A…
Metabolically healthy obesity and unhealthy normal weight rural adults in Xinjiang: Prevalence and the associated factors
The prevalence of MHO among obese adults in Xinjiang is higher than that of Han adults, while the prevalence of MUNW among normal weight adults is lower than that among Han adults. In obese and normal weight participants, higher age, more red meat consumption, and larger WC increase the risk of metabolic abnormality, and more vegetable consumption reduces the risk of metabolic abnormality
Comparison of obesity-related indicators for identifying metabolic syndrome among normal-weight adults in rural Xinjiang, China
LAP and TyG index are effective indicators for identifying MetS among normal-weight adults in rural Xinjiang. Nomogram models including age, CI, LAP, and TyG index can significantly improve diagnostic ability
Updating Framingham CVD risk score using waist circumference and estimated cardiopulmonary function: A cohort study based on a southern Xinjiang population
In southern Xinjiang, WC is an independent risk factor for CVD. eCRF is an independent protective factor for CVD. We recommended adding WC and eCRF in the male model and only eCRF in the female model for better risk prediction
Predictive power of a body shape index and traditional anthropometric indicators for cardiovascular disease: A cohort study in rural Xinjiang, China
In the rural areas of Xinjiang, the traditional anthropometric indicators of WC had better ability to predict the incidence of CVD than ABSI
Comparison of the cumulative exposure to four measures of blood pressure for predicting cardiovascular disease risk in the Chinese Uyghurs
All four cumBP markers were significantly associated with CVD risk in this population. Compared with the other three cumBP measures, cumSBP had the strongest association with CVD events and provided a superior incremental predictive value for CVD events
Internal Medicine (7 works) · Medicine (7 works) · Environmental health (6 works) · Body mass index (5 works) · Population (5 works) · Waist (5 works) · Demography (4 works) · Demography (4 works) · Diabetes, Cardiovascular Risks, and Lipoproteins (4 works) · Obesity (4 works)