Investigating Associated Factors with Glomerular Filtration Rate : Structural Equation Modeling

Abstract Background: glomerular filtration rate (GFR) is a valid indicator for kidney function. Different factors can affect GFR. The purpose of this study is to assess direct and indirect effects of GFR-related factors using structural equation modeling.Patients and methods:We analyzed data from baseline phase of Ravansar Non-Communicable Disease cohort study. Data on socio-behavioral, nutritional, cardiovascular, and metabolic risk factors were entered in a conceptual model in order to test direct and indirect effects of factors related to GFR,separately in male and female, using the structural equation modeling.Results: Of 8927 individuals participated in this study, 4212 subjects were male (47.20%) and 4715 subjects were female (52.80%). The obtained mean and standard deviation of GFR was 76.05 (±14.31) per 1.73 . GFR for 0.2%, 11.3%, 73.0% and 15.50% of people were <30, , and , respectively. Hypertension and aging in both gender and atherogenic factor in male directly, and in female directly and indirectly had a lower effect on GFR. Blood urea nitrogen and smoking in male and female, directly or indirectly through other variables, were associated with a lower GFR. In female, diabetes had a lower direct and indirect effect on GFR. Obesity in female was directly associated with uper and indirectly associated with lower GFR.Conclusion: According to our results, aging, hypertension, diabetes, obesity and high lipid profile, and BUN had a decreasing direct and indirect effects on GFR. Although low GFR might have different reasons and it is not a consistent sign of CKD, our findings, are in line with other reports, provide more detailed informations about important risk factors of low GFR. Public awareness about such factors can improve public practice of positive health behaviours.

Download Full-text

Investigating Associated Factors with Glomerular Filtration Rate : Structural Equation Modeling

10.21203/rs.2.12954/v2 ◽

2019 ◽

Author(s):

Parastoo Jamshidi ◽

Farid Najafi ◽

Shayan Mostafaee ◽

Ebrahem Shakiba ◽

yahya pasdar ◽

...

Keyword(s):

Risk Factors ◽

Glomerular Filtration Rate ◽

Structural Equation Modeling ◽

Indirect Effects ◽

Structural Equation ◽

Associated Factors ◽

Filtration Rate ◽

Equation Modeling ◽

Direct And Indirect Effects ◽

Male And Female

Abstract Background: Glomerular Filtration Rate (GFR) is a valid indicator for kidney function, both in healthy and diseased people. Different factors can affect GFR. The purpose of this study is to assess a causal model to show direct and indirect effects of GFR-related factors using structural equation modeling. Patients and methods : We analyzed data from recruitment phase of Ravansar Non-Communicable Disease cohort study. Data on socio-behavioral, nutritional, cardiovascular, and metabolic risk factors were entered in a conceptual model in order to test direct and indirect effects of the associated factors on GFR, separately in male and female, using the structural equation modeling. Results : Of 8927 individuals participated in this study, 4212 subjects were male (47.2%) and 4715 subjects were female (52.8%). The obtained standard deviation of GFR was 76.05 (±14.3) per 1.73 . Filtration rate for 11.52%, 72.96% and 15.50% of people were <60, and , respectively. Hypertension in both gender and atherogenic factor in male directly, and in female directly and indirectly had a decreasing effect on GFR. Blood Urea Nitrogen (BUN) and smoking in male and female, directly or indirectly through other variables, was associated with a decrease in GFR. In female, diabetes had a decreasing direct and indirect effect on GFR. Obesity in female was directly associated with increasing and indirectly associated with decreasing filtration. Conclusion : According to our results, increasing age, hypertension, diabetes, obesity and high blood lipids, and BUN had a decreasing direct and indirect effects on GFR. Although low GFR might have different reasons and it is not a consistent sign of CKD, our findings, in line with other reports, provide more detailed informations about important risk factors of low GFR. Public awareness about such factors can improve public practice of positive health behaviours.

Download Full-text

Investigating Associated Factors with Glomerular Filtration Rate : Structural Equation Modeling

10.21203/rs.2.12954/v1 ◽

2019 ◽

Author(s):

Parastoo Jamshidi ◽

Farid Najafi ◽

Shayan Mostafaee ◽

Ebrahem Shakiba ◽

yahya pasdar ◽

...

Keyword(s):

Risk Factors ◽

Glomerular Filtration Rate ◽

Structural Equation Modeling ◽

Indirect Effects ◽

Structural Equation ◽

Associated Factors ◽

Filtration Rate ◽

Equation Modeling ◽

Direct And Indirect Effects ◽

Male And Female

Abstract Background: Glomerular Filtration Rate (GFR) is a valid indicator for kidney function, both in healthy and diseased people. Different factors can affect GFR. The purpose of this study is to assess a causal model to show direct and indirect effects of GFR-related factors using structural equation modeling. Patients and methods : We analyzed data from recruitment phase of Ravansar Non-Communicable Disease cohort study. Data on socio-behavioral, nutritional, cardiovascular, and metabolic risk factors were entered in a conceptual model in order to test direct and indirect effects of the associated factors on GFR, separately in male and female, using the structural equation modeling. Results : Of 8927 individuals participated in this study, 4212 subjects were male (47.2%) and 4715 subjects were female (52.8%). The obtained standard deviation of GFR was 76.05 (±14.3) per 1.73 . Filtration rate for 11.52%, 72.96% and 15.50% of people were <60, and , respectively. Hypertension in both gender and atherogenic factor in male directly, and in female directly and indirectly had a decreasing effect on GFR. Blood Urea Nitrogen (BUN) and smoking in male and female, directly or indirectly through other variables, was associated with a decrease in GFR. In female, diabetes had a decreasing direct and indirect effect on GFR. Obesity in female was directly associated with increasing and indirectly associated with decreasing filtration. Conclusion : According to our results, increasing age, hypertension, diabetes, obesity and high blood lipids, and BUN had a decreasing direct and indirect effects on GFR. Although low GFR might have different reasons and it is not a consistent sign of CKD, our findings, in line with other reports, provide more detailed informations about important risk factors of low GFR. Public awareness about such factors can improve public practice of positive health behaviours.

Download Full-text

Contribution of vitamin D status as a determinant of cardiometabolic risk factors: a structural equation model, National Food and Nutrition Surveillance

BMC Public Health ◽

10.1186/s12889-021-11839-w ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Bahareh Nikooyeh ◽

Tirang R. Neyestani

Keyword(s):

Risk Factors ◽

Vitamin D ◽

Lipid Profile ◽

Indirect Effects ◽

Latent Variable ◽

Structural Equation ◽

Sun Exposure ◽

Equation Modeling ◽

Direct And Indirect Effects ◽

Food And Nutrition

Abstract Background Structural equation modeling (SEM) is a method used to evaluate linear causal relationships among variables. This study aimed to investigate the direct and indirect effects of serum 25(OH) D on certain cardiovascular risk factors using SEM. Methods An analytical cross-sectional study was conducted in six provinces of Iran. Subjects (n = 922), aged 19–65 years, were selected from National Food and Nutrition Surveillance. The assessments were sun-exposure behavior, anthropometric and biochemical measurements. A series of SEM models were tested and the model with the best fit indices was considered for use in the structural part of the model. Based on the literature review of previous theoretical models and supporting bivariate analyses, an overall SEM examined direct or indirect associations among observed and latent variables. We put the demographic, duration of sun exposure, anthropometric and metabolic variables in our model. Results The paths between serum 25(OH) D and BMI were inverse and statistically significant, whereas age showed a positive association with BMI (B = 0.06, p < 0.001), both direct (st. effect = 0.11, p = 0.01) and indirect via vitamin D (st. effect = − 0.02, p = 0.01). The results confirmed that serum 25(OH) D concentration is a predictor for latent variable of lipid profile (B = − 0.13, p = 0.01) both through direct (p = 0.02) and indirect effects via BMI (p = 0.01). Conclusion Serum 25(OH) D concentration is a predictor of BMI and also a latent variable of lipid profile via direct and indirect effects. It can also attenuate the harmful effect of age on BMI and lipid profile particularly in women.

Download Full-text