Volume 21 Issue 10
Oct.  2023
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Article Navigation >  Chinese Journal of General Practice  > 2023  >  21(10): 1710-1712
QIN Jingjing, PENG Kaiyue, WANG Yue, HAN Qingfeng. Analysis of factors related to microalbuminuria in community populations[J]. Chinese Journal of General Practice, 2023, 21(10): 1710-1712. doi: 10.16766/j.cnki.issn.1674-4152.003207
Citation: QIN Jingjing, PENG Kaiyue, WANG Yue, HAN Qingfeng. Analysis of factors related to microalbuminuria in community populations[J]. Chinese Journal of General Practice, 2023, 21(10): 1710-1712. doi: 10.16766/j.cnki.issn.1674-4152.003207
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Analysis of factors related to microalbuminuria in community populations

doi: 10.16766/j.cnki.issn.1674-4152.003207
  • 1.

    Department of General Medicine, Peking University Third Hospital, Beijing 100191, China

Funds:

 82070736

  • Received Date: 2023-06-05
    Available Online: 2023-11-23
    Abstract
  •   Objective  To analyze the factors influencing microalbuminuria in community populations and provide evidence for effective screening of residents with early kidney injury.  Methods  All residents who underwent regular health examinations in a community in Beijing in October 2021 were selected as the study population, and their examination data were analyzed. Participants were divided into a microalbuminuria group and a normal urine albumin group based on the urinary albumin-to-creatinine ratio. The clinical data between the two groups were compared, and binary logistic regression analysis was performed to determine the factors associated with microalbuminuria.  Results  The detection rate of microalbuminuria in the study population was 11.9% (122/1 022). There were statistically significant differences (all P < 0.05) in age, metabolic syndrome, history of hypertension, history of diabetes, waist circumference, abdominal obesity, glucose, glycated hemoglobin, total cholesterol, triglycerides, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, albumin, urea, creatinine, and glomerular filtration rate between the microalbuminuria group and the normal urine albumin group. Binary logistic regression analysis showed that age (OR=1.051, 95% CI: 1.033-1.070) and metabolic syndrome (OR=2.254, 95% CI: 1.425-3.565) were independently associated with microalbuminuria. Among the five components of metabolic syndrome, high blood sugar (OR=2.405, 95% CI: 1.434-4.035) and hypertension (OR=2.082, 95% CI: 1.189-3.674) were positively associated with the detection of microalbuminuria.  Conclusion  Age and metabolic syndrome are independently associated with microalbuminuria, and diabetes and hypertension among the components of metabolic syndrome have a closer relationship with microalbuminuria.

     

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