{"title":"Association of demographic and biochemical factors with hypercalciuria among Meitei adults in Manipur, Northeast India: a cross-sectional study.","authors":"Robertson Singh Aheibam, Malvika Yumnam, Erika Pebam, Henry Konjengbam, Suraj Singh Huidrom, Yaiphaba Meitei Sanjenbam","doi":"10.24171/j.phrp.2025.0157","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to investigate the association of demographic variables and serum calcium with hypercalciuria among the Meitei adult population of Manipur, Northeast India.</p><p><strong>Methods: </strong>A cross-sectional study was conducted involving 413 participants (272 females and 141 males) aged 19 to 60 years. Participants were selected through a multistage sampling method from 5 valley districts of Manipur. Demographic and biochemical parameters were collected, including serum calcium, creatinine, and spot urine calcium and creatinine levels. One-way analysis of variance, Tukey's post hoc test, chi-square test, multinomial logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. The area under the ROC curve was calculated to determine the cut-off value of random urine calcium.</p><p><strong>Results: </strong>The overall prevalence of hypercalciuria was 18.64%. The incidence of hypercalciuria increased with age; 41 to 60 age group were 3 times more likely to develop hypercalciuria than those in the 19 to 40 age group (95% confidence interval [CI], 1.86-5.47; p<0.001). A significant association (p<0.05) was also found between serum calcium and urine calcium levels. Hypocalcemic individuals were 3.5 times more likely to have hypercalciuria than normocalcemic individuals (95% CI, 1.33-9.31; p=0.01). ROC analysis revealed a predictive cut-off value of 23.07 mg/dL for random urine calcium.</p><p><strong>Conclusion: </strong>This study demonstrates a high prevalence of hypercalciuria exceeding the global average. Given that Manipur has also been reported to have a high prevalence of kidney stones, this finding indicates a considerable health risk. Early intervention could therefore improve public health outcomes related to calcium and mineral metabolism.</p>","PeriodicalId":38949,"journal":{"name":"Osong Public Health and Research Perspectives","volume":" ","pages":"519-529"},"PeriodicalIF":1.4000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12611529/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Osong Public Health and Research Perspectives","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.24171/j.phrp.2025.0157","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/10/17 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives: This study aimed to investigate the association of demographic variables and serum calcium with hypercalciuria among the Meitei adult population of Manipur, Northeast India.
Methods: A cross-sectional study was conducted involving 413 participants (272 females and 141 males) aged 19 to 60 years. Participants were selected through a multistage sampling method from 5 valley districts of Manipur. Demographic and biochemical parameters were collected, including serum calcium, creatinine, and spot urine calcium and creatinine levels. One-way analysis of variance, Tukey's post hoc test, chi-square test, multinomial logistic regression, and receiver operating characteristic (ROC) curve analysis were performed. The area under the ROC curve was calculated to determine the cut-off value of random urine calcium.
Results: The overall prevalence of hypercalciuria was 18.64%. The incidence of hypercalciuria increased with age; 41 to 60 age group were 3 times more likely to develop hypercalciuria than those in the 19 to 40 age group (95% confidence interval [CI], 1.86-5.47; p<0.001). A significant association (p<0.05) was also found between serum calcium and urine calcium levels. Hypocalcemic individuals were 3.5 times more likely to have hypercalciuria than normocalcemic individuals (95% CI, 1.33-9.31; p=0.01). ROC analysis revealed a predictive cut-off value of 23.07 mg/dL for random urine calcium.
Conclusion: This study demonstrates a high prevalence of hypercalciuria exceeding the global average. Given that Manipur has also been reported to have a high prevalence of kidney stones, this finding indicates a considerable health risk. Early intervention could therefore improve public health outcomes related to calcium and mineral metabolism.