Light at night exposure and risk of dementia conversion from mild cognitive impairment in a Northern Italy population.

IF 3 2区 医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Tommaso Filippini, Sofia Costanzini, Annalisa Chiari, Teresa Urbano, Francesca Despini, Manuela Tondelli, Roberta Bedin, Giovanna Zamboni, Sergio Teggi, Marco Vinceti
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引用次数: 0

Abstract

Background: A few studies have suggested that light at night (LAN) exposure, i.e. lighting during night hours, may increase dementia risk. We evaluated such association in a cohort of subjects diagnosed with mild cognitive impairment (MCI).

Methods: We recruited study participants between 2008 and 2014 at the Cognitive Neurology Clinic of Modena Hospital, Northern Italy and followed them for conversion to dementia up to 2021. We collected their residential history and we assessed outdoor artificial LAN exposure at subjects' residences using satellite imagery data available from the Visible Infrared Imaging Radiometer Suite (VIIRS) for the period 2014-2022. We assessed the relation between LAN exposure and cerebrospinal fluid biomarkers. We used a Cox-proportional hazards model to compute the hazard ratio (HR) of dementia with 95% confidence interval (CI) according to increasing LAN exposure through linear, categorical, and non-linear restricted-cubic spline models, adjusting by relevant confounders.

Results: Out of 53 recruited subjects, 34 converted to dementia of any type and 26 converted to Alzheimer's dementia. Higher levels of LAN were positively associated with biomarkers of tau pathology, as well as with lower concentrations of amyloid β1-42 assessed at baseline. LAN exposure was positively associated with dementia conversion using linear regression model (HR 1.04, 95% CI 1.01-1.07 for 1-unit increase). Using as reference the lowest tertile, subjects at both intermediate and highest tertiles of LAN exposure showed increased risk of dementia conversion (HRs 2.53, 95% CI 0.99-6.50, and 3.61, 95% CI 1.34-9.74). In spline regression analysis, the risk linearly increased for conversion to both any dementia and Alzheimer's dementia above 30 nW/cm2/sr of LAN exposure. Adding potential confounders including traffic-related particulate matter, smoking status, chronic diseases, and apolipoprotein E status to the multivariable model, or removing cases with dementia onset within the first year of follow-up did not substantially alter the results.

Conclusion: Our findings suggest that outdoor artificial LAN may increase dementia conversion, especially above 30 nW/cm2/sr, although the limited sample size suggests caution in the interpretation of the results, to be confirmed in larger investigations.

意大利北部人群的夜间光照与轻度认知障碍转化为痴呆症的风险。
背景:一些研究表明,夜间照明(LAN)可能会增加痴呆症风险。我们在一组被诊断为轻度认知障碍(MCI)的受试者中评估了这种关联:我们于 2008 年至 2014 年期间在意大利北部摩德纳医院的认知神经学诊所招募了研究对象,并跟踪他们是否转为痴呆症,直至 2021 年。我们收集了他们的居住史,并利用可见红外成像辐射计套件(VIIRS)提供的 2014-2022 年期间的卫星图像数据评估了受试者住所的室外人工局域网暴露情况。我们评估了局域网暴露与脑脊液生物标志物之间的关系。我们使用 Cox 比例危险模型,通过线性、分类和非线性受限立方样条模型,计算出痴呆症的危险比(HR)和 95% 的置信区间(CI),并根据相关混杂因素进行调整:在 53 名受试者中,34 人转为任何类型的痴呆,26 人转为阿尔茨海默氏症痴呆。较高水平的LAN与tau病理学生物标志物以及基线评估的较低浓度淀粉样蛋白β1-42呈正相关。采用线性回归模型,LAN 暴露与痴呆症转化呈正相关(HR 1.04,95% CI 1.01-1.07,增加 1 个单位)。以最低三分位数为参照,局域网暴露量处于中间和最高三分位数的受试者转化为痴呆症的风险均有所增加(HRs 2.53,95% CI 0.99-6.50;HRs 3.61,95% CI 1.34-9.74)。在样条回归分析中,局域网暴露量超过 30 nW/cm2/sr 时,转化为任何痴呆症和阿尔茨海默氏痴呆症的风险均呈线性增长。在多变量模型中加入潜在的混杂因素,包括与交通有关的颗粒物、吸烟状况、慢性病和载脂蛋白 E 状况,或剔除在随访第一年内发病的痴呆病例,都不会对结果产生重大影响:我们的研究结果表明,室外人造局域网可能会增加痴呆症的发病率,尤其是高于30 nW/cm2/sr时。
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来源期刊
International Journal of Health Geographics
International Journal of Health Geographics PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
10.20
自引率
2.00%
发文量
17
审稿时长
12 weeks
期刊介绍: A leader among the field, International Journal of Health Geographics is an interdisciplinary, open access journal publishing internationally significant studies of geospatial information systems and science applications in health and healthcare. With an exceptional author satisfaction rate and a quick time to first decision, the journal caters to readers across an array of healthcare disciplines globally. International Journal of Health Geographics welcomes novel studies in the health and healthcare context spanning from spatial data infrastructure and Web geospatial interoperability research, to research into real-time Geographic Information Systems (GIS)-enabled surveillance services, remote sensing applications, spatial epidemiology, spatio-temporal statistics, internet GIS and cyberspace mapping, participatory GIS and citizen sensing, geospatial big data, healthy smart cities and regions, and geospatial Internet of Things and blockchain.
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