Associations Between Exposure to Metal Mixtures and Insufficient Bone Strength: A Cross-Sectional Study Among Children Aged 2–6 Years-Reference-Cited by-同舟云学术

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Associations Between Exposure to Metal Mixtures and Insufficient Bone Strength: A Cross-Sectional Study Among Children Aged 2–6 Years

Published:2023-08-03 Issue: Volume: Page:
ISSN:2451-9766
Container-title:Exposure and Health
language:en
Short-container-title:Expo Health

Author:

Liu Yanli,Wang Yan,Fu Ye,Liu Yang,Li Mingzhu,He Minghui,Zhang Yao,Li Chen,Ding Hongcheng,Li Xiaowen,Ji Hongxian,Wang Jing^ORCID

Funder

National Natural Science Foundation of China

Hubei Provincial Department of Education

Starting Fund of Hubei University of Medicine

Publisher

Springer Science and Business Media LLC

Subject

Health, Toxicology and Mutagenesis,Public Health, Environmental and Occupational Health,Pollution,Water Science and Technology

Link

https://link.springer.com/content/pdf/10.1007/s12403-023-00591-8.pdf

Reference52 articles.

1. Akesson A, Bjellerup P, Lundh T, Lidfeldt J, Nerbrand C, Samsioe G et al (2006) Cadmium-induced effects on bone in a population-based study of women. Environ Health Perspect 114:830–834. https://doi.org/10.1289/ehp.8763

2. Alghadir AH, Gabr SA, Al-Eisa ES, Alghadir MH (2016) Correlation between bone mineral density and serum trace elements in response to supervised aerobic training in older adults. Clin Interv Aging 11:265–273. https://doi.org/10.2147/CIA.S100566

3. Banjabi AA, Kannan K, Kumosani TA, Yousef JM, Abulnaja KO, Moselhy SS (2021) Association of blood heavy metal levels with osteocalcin abnormality and incidence of osteoporosis in Saudi subjects. Braz J Biol 83:e248828. https://doi.org/10.1590/1519-6984.248828

4. Beier EE, Maher JR, Sheu T-J et al (2013) Heavy metal lead exposure, osteoporotic-like phenotype in an animal model, and depression of Wnt signaling. Environ Health Perspect 121:97–104. https://doi.org/10.1289/ehp.1205374

5. Bobb JF, Valeri L, Claus Henn B, Christiani DC, Wright RO, Mazumdar M et al (2015) Bayesian kernel machine regression for estimating the health effects of multi-pollutant mixtures. Biostatistics 16:493–508. https://doi.org/10.1093/biostatistics/kxu058

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