Association of greenness exposure with serum vitamin D status and effects of ambient particulate matter among pregnant women in early pregnancy

IF 7.3 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Environmental Pollution Pub Date : 2025-05-01 Epub Date: 2025-03-18 DOI:10.1016/j.envpol.2025.126067
Dongjian Yang , Yanling Shen , Qun Wang , Xin Sun , Mengxiang Li , Jinjing Shi , Lei Chen , Jun Zhang , Xinhua Ji
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Abstract

Adequate vitamin D is essential for the health of both the mother and fetus, and it can be influenced by environmental factors. However, research on the associations between greenness exposure and vitamin D concentrations during pregnancy is limited. This retrospective birth cohort study, conducted from 2014 to 2018, assessed the greenness of residences using the satellite-derived normalised difference vegetation index (NDVI). Serum 25-hydroxyvitamin D [25(OH)D] concentrations were categorised as non-deficient (≥50 nmol/L) or deficient (<50 nmol/L). Multiple log-binomial regression models were used to estimate the association of NDVI with serum 25(OH)D concentrations and vitamin D deficiency (VDD). Subgroup and mediation analyses were conducted to estimate the association of ambient particulate matter (PM) on the association between NDVI and VDD. A total of 64,663 pregnant women with a mean maternal age of 30.6 (standard deviation: 3.86) years were included. 250-m NDVI was negatively associated with the risk of VDD (per 0.1-unit increase, relative risk [RR]: 0.98, 95 % CI: 0.97–0.99). With the highest quartile of NDVI exposure as the reference group, the upper-middle quartile (RR: 1.02, 95 % CI: 1.00–1.03), and lowest quartile (RR: 1.03, 95 % CI: 1.01–1.06) had an increased risk of VDD. At higher PM2.5 exposure concentrations, 250-m NDVI exposure was negatively associated with the risk of VDD (RR: 0.98, 95 %CI: 0.97–0.99, per 0.1-unit increase), but not at lower PM2.5 exposure concentrations. Among pregnant women with higher PM2.5, the mediation of PM2.5 exposure on the association between 250-m NDVI and VDD was 44.70 % (P = 0.0116). Among pregnant women with higher PM10 exposure, the mediation of PM10 exposure on the association between 250-m NDVI and VDD was 17.98 % (P = 0.002). These findings suggest that higher residential greenery significantly reduces the risk of VDD in pregnant women, particularly in those exposed to increased PM concentrations.

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妊娠早期孕妇接触绿色与血清维生素D状态的关系及环境颗粒物的影响
充足的维生素D对母亲和胎儿的健康都是必不可少的,它会受到环境因素的影响。然而,关于孕期接触绿色和维生素D浓度之间关系的研究是有限的。这项回顾性出生队列研究于2014年至2018年进行,使用卫星衍生的归一化植被指数(NDVI)评估了住宅的绿化率。血清25-羟基维生素D [25(OH)D]浓度分为非缺乏(≥50 nmol/L)或缺乏(<50 nmol/L)。采用多元对数二项回归模型估计NDVI与血清25(OH)D浓度和维生素D缺乏症(VDD)的关系。通过亚组分析和中介分析,评估了环境颗粒物(PM)对NDVI和VDD之间关系的影响。共纳入64,663名孕妇,产妇平均年龄为30.6岁(标准差为3.86)。250-m NDVI与VDD风险呈负相关(每增加0.1个单位,相对风险[RR]: 0.98, 95% CI: 0.97-0.99)。以NDVI暴露最高的四分位数为参照组,中上四分位数(RR: 1.02, 95% CI: 1.00-1.03)和最低四分位数(RR: 1.03, 95% CI: 1.01-1.06)的VDD风险增加。在较高的PM2.5暴露浓度下,250 m NDVI暴露与VDD风险呈负相关(RR: 0.98, 95%CI: 0.97-0.99,每增加0.1个单位),但在较低的PM2.5暴露浓度下则没有。在PM2.5较高的孕妇中,PM2.5暴露对250-m NDVI与VDD相关性的中介作用为44.70% (P = 0.0116)。在PM10暴露较高的孕妇中,PM10暴露对250-m NDVI与VDD相关性的中介作用为17.98% (P = 0.002)。这些发现表明,较高的住宅绿化可显著降低孕妇患VDD的风险,特别是暴露于PM浓度增加的孕妇。
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来源期刊
Environmental Pollution
Environmental Pollution 环境科学-环境科学
CiteScore
16.00
自引率
6.70%
发文量
2082
审稿时长
2.9 months
期刊介绍: Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.
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