Metal mixture exposure and the risk of osteopenia or osteoporosis: Baseline Data from the Chinese Multi-Ethnic Cohort (CMEC) Study DOI Creative Commons

yuxin zhang,

Cheng Chen,

Shenyan Wu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 6, 2023

Abstract Osteoporosis is emerging as a growing public health concern worldwide due to the aging population, and metal exposure widely recognized risk factor for human health. However, studies on relationship between bone yield inconsistent results. Limited epidemiological research exists associations of mixtures with osteopenia osteoporosis, particularly among ethnic minorities in China. We conducted study 9206 Chinese (Dong Miao) aged 30–79 years using data from Multi-Ethnic Cohort Study (CMCS) baseline survey database. utilized inductively coupled plasma mass spectrometry (ICP-MS) measure concentrations 11 metals urine quantitative ultrasound mineral density (BMD). Multivariate logistic regression model, Quantile g-computation Principal component analysis were used explore correlation single-metal mixture osteoporosis. In urinary As, Cd, Cr, Fe, Hg Mn positively associated osteopenia. Conversely, Co Zn negatively Urinary Cr while V was addition, g-comptation showed that identified principal 1, characterized by Fe Mn, 3, These findings suggest co-exposure polymetals affects occurrence development warranting further investigation into complex mechanisms involved.

Language: Английский

Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring DOI
Ran S. Rotem,

Marc G. Weisskopf,

Brian T. Bateman

et al.

Human Reproduction, Journal Year: 2024, Volume and Issue: 39(12), P. 2816 - 2829

Published: Oct. 15, 2024

What are the roles of maternal preconception diabetes and related periconceptional hyperglycemia on risk major congenital malformations (MCMs) in offspring?

Language: Английский

Citations

1

Blood Lead Exposure and Association With Hepatitis B Core Antibody in the United States: NHANES 2011–2018 DOI Creative Commons

Kexing Han,

Tengyao He,

Siran Huang

et al.

Frontiers in Public Health, Journal Year: 2022, Volume and Issue: 10

Published: June 14, 2022

The objective of this project was to explore the distribution and related factors blood lead association between hepatitis B core antibody (HBcAb). All data were from U.S. National Health Nutrition Examination Survey (NHANES). In total, 15,097 (aged 20-80 years) participants included. Participants without a history transfusion more likely be exposed lower levels [-2.30 (-3.13, -1.47) for HBcAb (-) -2.23 (-4.54, 0.08) (+)]. odds ratio (OR) (+) increased with result 1.09 (1.06, 1.12). This study showed that older adults, men, people education level, family income poverty (PIR), body mass index (BMI), or transfusion, who lived companion total number in >3, living United States longer time, citizens by birth naturalization, not born associated higher exposure, had positive (+).

Language: Английский

Citations

3

Study on the correlation and interaction between urinary metals level and diabetes:A case-control study of community-dwelling elderly DOI Creative Commons
Rui Wang,

Pei He,

Siyu Duan

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Feb. 1, 2023

Abstract Background It has been reported that metal exposure is associated with the risk of diabetes, but results are inconsistent.The relationship between diabetes and a single might be attenuated or strengthened due to complex interactions metals chronic diseases comorbidity (especially in elderly). However, evidence multiple effect participants only limited, particularly elderly. The present case-control study 188 diabetic 376 healthy aimed evaluate potential relationships concentrations 9 urine access interactive effects Chinese community-dwelling Methods levels (cobalt, zinc, copper, arsenic, molybdenum, cadmium, tellurium, thallium, lead) were detected by inductively coupled plasma mass spectrometry (ICP-MS) 564 adults recruited from Yinchuan Community Health Service Center (Yinchuan, China).Logistic regression restricted cubic spline (RCS) analysis used explore associations dose-response diabetes. To multi-metal exposures risk, weighted quantile sum Models (WQS) Bayesian Kernel Machine Regression (BKMR) model applied. Results cobalt, thallium lead higher group (p < 0.05). In logistic analysis, we found OR values urinary quartiles showed an increasing trend. single-metal model, adjusted ORs(95%CI) highest 2.94(1.72,5.05) for cobalt,5.05 (2.85,8.93) 2.28(1.32,3.91) 1.99(1.15,3.43) 2.61(1.54,4.43) 2.89(1.68,4.96) 2.52(1.44,4.41) 3.53(2.03,6.12) 2.18(1.27,3.75) compared lowest quartile. And RCS nonlinear ( P -overall 0.05, -nonlinear multi-pollutant models all indicated mixture was positively Zn Tl major contributors combined effect. Conclusion Elevated increased There positive interaction on

Language: Английский

Citations

0

Can endocrine disruptors cause diabetes? DOI Creative Commons

Valerio Renzelli

The Journal of AMD, Journal Year: 2023, Volume and Issue: 26(1), P. 6 - 6

Published: June 1, 2023

Gli interferenti endocrini rappresentano una categoria di sostanze, sia origine naturale che sintetica, capaci interferire con i sistemi ormonali a vari livelli. La loro presenza nell’ambiente, spesso persistente, aumenta il rischio esposizione umana potenziali effetti negativi sulla salute. In particolare, alcuni sembrano avere la capacità alterare l’omeostasi glicemica, portando conseguenze dannose sul metabolismo glicidico e aumentando sviluppare diabete mellito. Tra gli questo tipo si annoverano metalli pesanti, pesticidi, bisfenoli, PBDE ftalati. Tuttavia, nono[1]stante alcune evidenze suggeriscano un’associazione tra l’esposizione questi le alterazioni glicemiche, scientifiche finora raccolte sono contrastanti. Inoltre, non è ancora ben compreso meccanismo fisiopatologico attraverso quale queste sostanze in grado provocare tali alterazioni. Pertanto, ulteriori studi necessari per approfondire comprensione dell’associazione agli al fine delineare meglio meccanismi fisiopatologici sottostanti. PAROLE CHIAVE endocrini; diabete; pesticidi; pesanti; bisfenolo A.

Citations

0

Metal mixture exposure and the risk of osteopenia or osteoporosis: Baseline Data from the Chinese Multi-Ethnic Cohort (CMEC) Study DOI Creative Commons

yuxin zhang,

Cheng Chen,

Shenyan Wu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 6, 2023

Abstract Osteoporosis is emerging as a growing public health concern worldwide due to the aging population, and metal exposure widely recognized risk factor for human health. However, studies on relationship between bone yield inconsistent results. Limited epidemiological research exists associations of mixtures with osteopenia osteoporosis, particularly among ethnic minorities in China. We conducted study 9206 Chinese (Dong Miao) aged 30–79 years using data from Multi-Ethnic Cohort Study (CMCS) baseline survey database. utilized inductively coupled plasma mass spectrometry (ICP-MS) measure concentrations 11 metals urine quantitative ultrasound mineral density (BMD). Multivariate logistic regression model, Quantile g-computation Principal component analysis were used explore correlation single-metal mixture osteoporosis. In urinary As, Cd, Cr, Fe, Hg Mn positively associated osteopenia. Conversely, Co Zn negatively Urinary Cr while V was addition, g-comptation showed that identified principal 1, characterized by Fe Mn, 3, These findings suggest co-exposure polymetals affects occurrence development warranting further investigation into complex mechanisms involved.

Language: Английский

Citations

0