Evidence map›Paper›PMID 41413647›Full record

ArticlePediatric research2026

Relationship between inflammatory indicators and bone mineral density in preschool children.

Ying Hu, Xue-Yi Jin, Xue-Qian Mao, Chao Wang, Chi-Yu Tian, Ke-Wei Liu, Xin-Ge Lv, Li-Peng Jing

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Article in Pediatric research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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8 authors.

Ying HuDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Xue-Yi JinDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Xue-Qian MaoDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Chao WangDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Chi-Yu TianDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Ke-Wei LiuDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Xin-Ge LvDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China.
Li-Peng JingDepartment of Epidemiology and Statistics, School of Public Health, Lanzhou University, Lanzhou, China. jinglp@lzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo investigate the relationship between inflammatory indicators and bone mineral density in preschool children.

methodsThe study population consisted of 393 preschool children aged 4-6 years. NLR, PLR, SII, and PIV were calculated based on lymphocyte counts, neutrophil counts, platelet counts and monocyte counts derived from a complete blood count test. The relationships between inflammatory indicators with BMD increment were analyzed using covariance analysis. ROC curve analysis was used to find a cut-off point for inflammatory indicators that can be assessed for BMD insufficiency. Multiple linear regression models were used to analyze the association between inflammatory indicators and bone metabolism markers.

resultsNLR (p-trend = 0.010), PIV (p-trend = 0.004) and SII (p-trend = 0.015) were positively associated with BMD increments, whereas PLR was not. ROC curve analysis showed that PIV (AUC = 0.58, 95% CI 0.52-0.64) and SII (AUC = 0.56, 95% CI 0.50-0.62) can predict low BMD, with PIV having the highest ability to predict. PIV was positively associated with osteocalcin and 25⁃(OH)D, whereas SII was positively associated with osteocalcin only.

conclusionPIV, SII, and NLR were positively associated with BMD increment. The study suggests that PIV holds promise as a potential tool for predicting the risk of BMD insufficiency in preschool children. IMPACT: After controlling for various confounders during a 1-year observation period, significant associations were found between the inflammatory indicators NLR, SII, and PIV and increased left-sided heel BMD in preschool children, exploring the finding that chronic inflammation plays a different role in children's bone health than it does in adults. Our findings found that PIV holds promise as a potential tool for predicting the risk of BMD insufficiency in preschool children. Focusing on bone mineral density in preschool children, this study provides valuable evidence and fills a gap in research on this age group. In the study, osteocalcin was also found to be positively correlated with SII and PIV and 25⁃(OH)D was positively correlated with PIV. They may provide potential avenues to enhance understanding of the effects of inflammation on bone.

Indexed as

Bone DensityInflammationBiomarkersChildChild, PreschoolFemaleHumansLinear ModelsMaleNeutrophilsOsteocalcinROC CurveBiomarkersOsteocalcin

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.