Fasting single-spot urine pH is associated with metabolic syndrome in the Japanese population
Medical Principles and Practice. 2017; 26 (5): 433-437
in En
| IMEMR
| ID: emr-190421
Responsible library:
EMRO
Objective: To investigate the relationship between urine pH and metabolic syndrome [MetS] and its components, while controlling for covariates
Subjects and Methods: This crosssectional study was conducted on 5,430 Japanese subjects [4,691 without MetS; 739 with MetS] undergoing health assessments. Partial correlation analysis and analysis of covariance were used for controlling confounding parameters [age, gender, levels of serum uric acid and high-sensitivity C-reactive protein, estimated glomerular filtration rate, and smoking and drinking status]. Using multiple logistic regression analyses, adjusted odds ratios [ORs] and 95% confidence intervals [CIs] for MetS incidence were calculated across urine pH categories. Path analysis was used to determine the relationship between MetS and urine pH
Results: Subjects with MetS had significantly lower urine pH [5.9 +/- 0.7] than those without MetS [6.0 +/- 0.7] [ p < 0.001]. Partial correlation analysis showed that systolic and diastolic blood pressure, and triglyceride and fasting plasma glucose levels were negatively correlated with urine pH, while high-density lipoprotein cholesterol was positively correlated with urine pH. Analysis of covariance indicated that urine pH decreased with an increasing number of metabolic abnormalities. Adjusted ORs [95% CI] for the presence of MetS in subjects with urine pH 5.5-6.0 and pH <5.5 were 1.34 [1.04-1.73] and 1.52 [1.09-2.13], respectively [reference: subjects with a urine pH >6.0]
Conclusion: The MetS and its components were independently associated with lower urine pH
Subjects and Methods: This crosssectional study was conducted on 5,430 Japanese subjects [4,691 without MetS; 739 with MetS] undergoing health assessments. Partial correlation analysis and analysis of covariance were used for controlling confounding parameters [age, gender, levels of serum uric acid and high-sensitivity C-reactive protein, estimated glomerular filtration rate, and smoking and drinking status]. Using multiple logistic regression analyses, adjusted odds ratios [ORs] and 95% confidence intervals [CIs] for MetS incidence were calculated across urine pH categories. Path analysis was used to determine the relationship between MetS and urine pH
Results: Subjects with MetS had significantly lower urine pH [5.9 +/- 0.7] than those without MetS [6.0 +/- 0.7] [ p < 0.001]. Partial correlation analysis showed that systolic and diastolic blood pressure, and triglyceride and fasting plasma glucose levels were negatively correlated with urine pH, while high-density lipoprotein cholesterol was positively correlated with urine pH. Analysis of covariance indicated that urine pH decreased with an increasing number of metabolic abnormalities. Adjusted ORs [95% CI] for the presence of MetS in subjects with urine pH 5.5-6.0 and pH <5.5 were 1.34 [1.04-1.73] and 1.52 [1.09-2.13], respectively [reference: subjects with a urine pH >6.0]
Conclusion: The MetS and its components were independently associated with lower urine pH
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Index:
IMEMR
Language:
En
Journal:
Med. Princ. Pract.
Year:
2017