Interactive correlations between artificial light at night, health risk behaviors, and cardiovascular health among patients with diabetes: A cross-sectional study

IF 3 2区医学 Q2 ENDOCRINOLOGY & METABOLISM

Journal of Diabetes Pub Date : 2024-10-13 DOI:10.1111/1753-0407.70008

Yi Zhang, Keyan Hu, Ying Tang, Qing Feng, Tian Jiang, Liwen Chen, Xin Chen, Chunhan Shan, Chen Han, Wenhui Chu, Nanzhen Ma, Honglin Hu, Hui Gao, Qiu Zhang

{"title":"Interactive correlations between artificial light at night, health risk behaviors, and cardiovascular health among patients with diabetes: A cross-sectional study","authors":"Yi Zhang, Keyan Hu, Ying Tang, Qing Feng, Tian Jiang, Liwen Chen, Xin Chen, Chunhan Shan, Chen Han, Wenhui Chu, Nanzhen Ma, Honglin Hu, Hui Gao, Qiu Zhang","doi":"10.1111/1753-0407.70008","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <h3> Background</h3>\n \n <p>Artificial light at night (ALAN) is a common phenomenon and contributes to the severe light pollution suffered by more than 80% of the world's population. This study aimed to evaluate the relationship between outdoor ALAN exposure and cardiovascular health (CVH) in patients with diabetes and the influence of various modifiable factors.</p>\n </section>\n \n <section>\n \n <h3> Methods</h3>\n \n <p>A survey method based on the China Diabetes and Risk Factor Monitoring System was adopted. Study data were extracted for 1765 individuals with diabetes in Anhui Province. Outdoor ALAN exposure (nW/cm<sup>2</sup>/sr) within 1000 m of each participant's residential address was obtained from satellite imagery data, with a resolution of ~1000 m. Health risk behaviors (HRBs) were measured via a standardized questionnaire. A linear regression model was employed to estimate the relationship between outdoor ALAN, HRBs, and CVH.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Participants' mean age was 59.10 ± 10.0 years. An association was observed between ALAN and CVH in patients with diabetes (<i>β</i> = 0.205) and exercise (<i>β</i> = −1.557), moderated by HRBs, or metabolic metrics. There was an association between ALAN, ALAN, vegetable intake, and CVH.</p>\n </section>\n \n <section>\n \n <h3> Conclusions</h3>\n \n <p>Exploring the relationship between ALAN exposure and cardiovascular and metabolic health provides policy data for improving light pollution strategies and reducing the risk of cardiovascular and metabolic disease in patients with diabetes.</p>\n \n <div>\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure>\n </div>\n </section>\n </div>","PeriodicalId":189,"journal":{"name":"Journal of Diabetes","volume":"16 10","pages":""},"PeriodicalIF":3.0000,"publicationDate":"2024-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/1753-0407.70008","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Diabetes","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/1753-0407.70008","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENDOCRINOLOGY & METABOLISM","Score":null,"Total":0}

引用次数: 0

Abstract

Background

Artificial light at night (ALAN) is a common phenomenon and contributes to the severe light pollution suffered by more than 80% of the world's population. This study aimed to evaluate the relationship between outdoor ALAN exposure and cardiovascular health (CVH) in patients with diabetes and the influence of various modifiable factors.

Methods

A survey method based on the China Diabetes and Risk Factor Monitoring System was adopted. Study data were extracted for 1765 individuals with diabetes in Anhui Province. Outdoor ALAN exposure (nW/cm²/sr) within 1000 m of each participant's residential address was obtained from satellite imagery data, with a resolution of ~1000 m. Health risk behaviors (HRBs) were measured via a standardized questionnaire. A linear regression model was employed to estimate the relationship between outdoor ALAN, HRBs, and CVH.

Results

Participants' mean age was 59.10 ± 10.0 years. An association was observed between ALAN and CVH in patients with diabetes (β = 0.205) and exercise (β = −1.557), moderated by HRBs, or metabolic metrics. There was an association between ALAN, ALAN, vegetable intake, and CVH.

Conclusions

Exploring the relationship between ALAN exposure and cardiovascular and metabolic health provides policy data for improving light pollution strategies and reducing the risk of cardiovascular and metabolic disease in patients with diabetes.

Abstract Image

查看原文本刊更多论文

糖尿病患者夜间人造光、健康风险行为与心血管健康之间的互动关系：横断面研究

背景夜间人造光（ALAN）是一种普遍现象，导致全球 80% 以上的人口遭受严重的光污染。本研究旨在评估户外 ALAN 暴露与糖尿病患者心血管健康（CVH）之间的关系以及各种可改变因素的影响。方法采用基于中国糖尿病及危险因素监测系统的调查方法。提取了安徽省 1765 名糖尿病患者的研究数据。从分辨率为 ~1000 m 的卫星图像数据中获取每位受试者住址周围 1000 m 范围内的户外 ALAN 暴露量（nW/cm2/sr）。健康风险行为 (HRB) 通过标准化问卷进行测量。采用线性回归模型来估计户外 ALAN、HRBs 和 CVH 之间的关系。结果参与者的平均年龄为 59.10 ± 10.0 岁。在糖尿病患者（β = 0.205）和运动患者（β = -1.557）中，观察到 ALAN 与 CVH 之间存在关联，但受 HRBs 或代谢指标的调节。ALAN、ALAN、蔬菜摄入量和 CVH 之间存在关联。结论探索 ALAN 暴露与心血管和代谢健康之间的关系可为改进光污染策略和降低糖尿病患者罹患心血管和代谢疾病的风险提供政策数据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Journal of Diabetes ENDOCRINOLOGY & METABOLISM-

CiteScore

6.50

自引率

2.20%

发文量

审稿时长

>12 weeks

期刊介绍： Journal of Diabetes (JDB) devotes itself to diabetes research, therapeutics, and education. It aims to involve researchers and practitioners in a dialogue between East and West via all aspects of epidemiology, etiology, pathogenesis, management, complications and prevention of diabetes, including the molecular, biochemical, and physiological aspects of diabetes. The Editorial team is international with a unique mix of Asian and Western participation. The Editors welcome submissions in form of original research articles, images, novel case reports and correspondence, and will solicit reviews, point-counterpoint, commentaries, editorials, news highlights, and educational content.