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Yang HY, Wu SH, Zhang S, Zou HX, Wang LB, Lin LZ, Gui ZH, Zeng XW, Yang BY, Liu RQ, Dong GH, Hu LW. Association between outdoor light at night exposure and executive function in Chinese children. ENVIRONMENTAL RESEARCH 2024; 257:119286. [PMID: 38824987 DOI: 10.1016/j.envres.2024.119286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/02/2024] [Revised: 05/11/2024] [Accepted: 05/29/2024] [Indexed: 06/04/2024]
Abstract
BACKGROUND Recent evidences highlight the potential impact of outdoor Light at Night (LAN) on executive function. However, few studies have investigated the association between outdoor LAN exposure and executive function. METHODS We employed data from 48,502 Chinese children aged 5-12 years in a cross-sectional study conducted in Guangdong province during 2020-2021, to examine the association between outdoor LAN and executive function assessed using the validated parent-completed Behavior Rating Inventory of Executive Function. We assessed children's outdoor LAN exposure using the night-time satellite images based on the residential addresses. We used generalized linear mixed models to estimate the association between outdoor LAN exposure and executive function scores and executive dysfunction. RESULTS After adjusting for potential covariates, higher quintiles of outdoor LAN exposure were associated with poorer executive function. Compared to the lowest quintile (Q1), all higher quintiles of exposure showed a significant increased global executive composite (GEC) score with β (95% confidence intervals, CI) of 0.58 (0.28, 0.88) in Q2, 0.59 (0.28, 0.9) in Q3, 0.85 (0.54, 1.16) in Q4, and 0.76 (0.43, 1.09) in Q5. Higher quintiles of exposure were also associated with higher risks for GEC dysfunction with odd ratios (ORs) (95% CI) of 1.34 (1.18, 1.52) in Q2, 1.40 (1.24, 1.59) in Q3, 1.40 (1.23, 1.59) in Q4, and 1.39 (1.22, 1.58) in Q5. And stronger associations were observed in children aged 10-12 years. CONCLUSIONS Our study suggested that high outdoor LAN exposure was associated with poor executive function in children. These findings suggested that future studies should determine whether interventions to reduce outdoor LAN exposure can have a positive effect on executive function.
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Affiliation(s)
- Han-Yu Yang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Si-Han Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Shuo Zhang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Hong-Xing Zou
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Le-Bing Wang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Zi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhao-Huan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Bo-Yi Yang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Ru-Qing Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Li-Wen Hu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
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Menculini G, Cirimbilli F, Raspa V, Scopetta F, Cinesi G, Chieppa AG, Cuzzucoli L, Moretti P, Balducci PM, Attademo L, Bernardini F, Erfurth A, Sachs G, Tortorella A. Insights into the Effect of Light Pollution on Mental Health: Focus on Affective Disorders-A Narrative Review. Brain Sci 2024; 14:802. [PMID: 39199494 PMCID: PMC11352354 DOI: 10.3390/brainsci14080802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/04/2024] [Accepted: 08/08/2024] [Indexed: 09/01/2024] Open
Abstract
The presence of artificial light at night has emerged as an anthropogenic stressor in recent years. Various sources of light pollution have been shown to affect circadian physiology with serious consequences for metabolic pathways, possibly disrupting pineal melatonin production with multiple adverse health effects. The suppression of melatonin at night may also affect human mental health and contribute to the development or exacerbation of psychiatric disorders in vulnerable individuals. Due to the high burden of circadian disruption in affective disorders, it has been hypothesized that light pollution impacts mental health, mainly affecting mood regulation. Hence, the aim of this review was to critically summarize the evidence on the effects of light pollution on mood symptoms, with a particular focus on the role of circadian rhythms in mediating this relationship. We conducted a narrative review of the literature in the PubMed, Scopus, and Web of Science datasets. After the screening process, eighteen papers were eligible for inclusion. The results clearly indicate a link between light pollution and the development of affective symptoms, with a central role of sleep disturbances in the emergence of mood alterations. Risk perception also represents a crucial topic, possibly modulating the development of affective symptoms in response to light pollution. The results of this review should encourage a multidisciplinary approach to the design of healthier environments, including lighting conditions among the key determinants of human mental health.
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Affiliation(s)
- Giulia Menculini
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Federica Cirimbilli
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Veronica Raspa
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Francesca Scopetta
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Gianmarco Cinesi
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Anastasia Grazia Chieppa
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Lorenzo Cuzzucoli
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Patrizia Moretti
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
| | - Pierfrancesco Maria Balducci
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
- CSM Terni, Department of Mental Health, Local Health Unit USL Umbria 2, 05100 Terni, Italy
| | - Luigi Attademo
- Department of Mental Health, North West Tuscany Local Health Authority, 57023 Cecina, Italy;
| | - Francesco Bernardini
- SPDC Pordenone, Department of Mental Health, AsFO Friuli Occidentale, 33170 Pordenone, Italy;
| | - Andreas Erfurth
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, 1090 Vienna, Austria; (A.E.); (G.S.)
- Klinik Hietzing, 1st Department of Psychiatry and Psychotherapeutic Medicine, 1130 Vienna, Austria
| | - Gabriele Sachs
- Department of Psychiatry and Psychotherapy, Medical University of Vienna, 1090 Vienna, Austria; (A.E.); (G.S.)
| | - Alfonso Tortorella
- Section of Psychiatry, Department of Medicine and Surgery, University of Perugia, 06132 Perugia, Italy; (F.C.); (V.R.); (F.S.); (G.C.); (A.G.C.); (L.C.); (P.M.); (P.M.B.); (A.T.)
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Gui ZH, Heinrich J, Min Qian Z, Schootman M, Zhao TY, Xu SL, Jin NX, Huang HH, He WT, Wu QZ, Zhang JL, Wang DS, Yang M, Liu RQ, Zeng XW, Dong GH, Lin LZ. Exposures to particulate matters and childhood sleep disorders-A large study in three provinces in China. ENVIRONMENT INTERNATIONAL 2024; 190:108841. [PMID: 38917626 DOI: 10.1016/j.envint.2024.108841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2024] [Revised: 06/10/2024] [Accepted: 06/20/2024] [Indexed: 06/27/2024]
Abstract
OBJECTIVES Evidence on the link between long-term ambient particulate matter (PM) exposures and childhood sleep disorders were scarce. We examined the associations between long-term exposures to PM2.5 and PM1 (PM with an aerodynamic equivalent diameter <2.5 μm and <1 μm, respectively) with sleep disorders in children. METHODS We performed a population-based cross-sectional survey in 177,263 children aged 6 to 18 years in 14 Chinese cities during 2012-2018. A satellite-based spatiotemporal model was employed to estimate four-year annual average PM2.5 and PM1 exposures at residential and school addresses. Parents or guardians completed a checklist using the Sleep Disturbance Scale for Children. We estimated the associations using generalized linear mixed models with adjustment for characteristics of children, parents, and indoor environments. RESULTS Long-term PM2.5 and PM1 exposures were positively associated with odds of sleep disorders for almost all domains. For example, increments in PM2.5 and PM1 per 10 μg/m3 were associated with odds ratios of global sleep disorder of 1.24 (95 % confidence interval [CI]: 1.14, 1.35) and 1.31 (95 %CI: 1.18, 1.46), respectively. Similar results were observed for subtypes of sleep disorder. These associations were heterogeneous regionally, with stronger associations among children residing in southeast region than in northeast and northwest regions. Moreover, larger estimates of PM1 were found than that of PM2.5 in southeast region. CONCLUSION Long-term PM2.5 and PM1 exposures are independently associated with higher risks of childhood sleep disorders, and these associations vary by geographical region.
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Affiliation(s)
- Zhao-Huan Gui
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Joachim Heinrich
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany; Allergy and Lung Health Unit, Melbourne School of Population and Health, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, 3545 Lafayette Avenue, Saint Louis, MO 63104, United States
| | - Mario Schootman
- Department of Internal Medicine, College of Medicine, University of Arkansas for Medical Sciences, 2708 S. 48th Street, Springdale, AR 72762, United States
| | - Tian-Yu Zhao
- Institute and Clinic for Occupational, Social and Environmental Medicine, University Hospital, LMU Munich, Comprehensive Pneumology Center Munich, German Center for Lung Research, Munich 80336, Germany
| | - Shu-Li Xu
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Nan-Xiang Jin
- A.I.Virtanen Institute for Molecular Sciences, University of Eastern Finland, Neulaniementie 2, 70210 Kuopio, Finland
| | - He-Hai Huang
- Department of Occupational and Environmental Health, Shenzhen Baoan District Public Health Service Center, Shenzhen 518100, China
| | - Wan-Ting He
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Qi-Zhen Wu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Jing-Lin Zhang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Dao-Sen Wang
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Mo Yang
- Department of Environmental and Biological Science, University of Eastern Finland, Yliopistonranta 1, P.O. Box 1627, FI-70211 Kuopio, Finland
| | - Ru-Qing Liu
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Xiao-Wen Zeng
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Guang-Hui Dong
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China
| | - Li-Zi Lin
- Joint International Research Laboratory of Environment and Health, Ministry of Education, Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
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Stone RA, Tobias JW, Wei W, Carlstedt X, Zhang L, Iuvone PM, Nickla DL. Diurnal gene expression patterns in retina and choroid distinguish myopia progression from myopia onset. PLoS One 2024; 19:e0307091. [PMID: 39028695 PMCID: PMC11259283 DOI: 10.1371/journal.pone.0307091] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Accepted: 06/30/2024] [Indexed: 07/21/2024] Open
Abstract
The world-wide prevalence of myopia (nearsightedness) is increasing, but its pathogenesis is incompletely understood. Among many putative mechanisms, laboratory and clinical findings have implicated circadian biology in the etiology of myopia. Consistent with a circadian hypothesis, we recently reported a marked variability in diurnal patterns of gene expression in two crucial tissues controlling post-natal refractive development - the retina and choroid-at the onset of form-deprivation myopia in chick, a widely studied and validated model. To extend these observations, we assayed gene expression by RNA-Seq in retina and choroid during the progression of established unilateral form-deprivation myopia of chick. We assayed gene expression every 4 hours during a single day from myopic and contralateral control eyes. Retinal and choroidal gene expression in myopic vs. control eyes during myopia progression differed strikingly at discrete times during the day. Very few differentially expressed genes occurred at more than one time in either tissue during progressing myopia. Similarly, Gene Set Enrichment Analysis pathways varied markedly by time during the day. Some of the differentially expressed genes in progressing myopia coincided with candidate genes for human myopia, but only partially corresponded with genes previously identified at myopia onset. Considering other laboratory findings and human genetics and epidemiology, these results further link circadian biology to the pathogenesis of myopia; but they also point to important mechanistic differences between the onset of myopia and the progression of established myopia. Future laboratory and clinical investigations should systematically incorporate circadian mechanisms in studying the etiology of myopia and in seeking more effective treatments to normalize eye growth in children.
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Affiliation(s)
- Richard A. Stone
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - John W. Tobias
- Penn Genomics and Sequencing Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Wenjie Wei
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America
| | - Xia Carlstedt
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, Massachusetts, United States of America
| | - Lixin Zhang
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, Massachusetts, United States of America
| | - P. Michael Iuvone
- Department of Ophthalmology & Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, Georgia, United States of America
| | - Debora L. Nickla
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, Massachusetts, United States of America
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Fang L, Ma C, Wang G, Peng Y, Zhao H, Chen Y, Ma Y, Cai G, Cao Y, Pan F. Outdoor Artificial Light at Night and Reproductive Endocrine and Glucose Homeostasis and Polycystic Ovary Syndrome in Women of Reproductive Age. Epidemiology 2024; 35:559-567. [PMID: 38534181 DOI: 10.1097/ede.0000000000001736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/28/2024]
Abstract
BACKGROUND Artificial light at night, a well-recognized circadian clock disrupter, causes disturbances in endocrine homeostasis. However, the association of artificial light at night with polycystic ovary syndrome (PCOS) is still unknown. This study examines the effects of outdoor artificial light at night on sex hormones, glucose homeostasis markers, and PCOS prevalence in Anhui Province, China. METHODS We recruited 20,633 women of reproductive age from Anhui Medical University Reproductive Medicine Center. PCOS was diagnosed according to Rotterdam criteria. We estimated long-term (previous year) and short-term (previous month) artificial light at night values for residential addresses using 500 m resolution satellite imagery. We fitted multivariable models, using both linear and logistic regression, to estimate the association of artificial light at night with sex hormones, glucose homeostasis markers, and PCOS prevalence. RESULTS Both long-term and short-term exposure to outdoor artificial light at night were negatively associated with follicle-stimulating hormone and luteinizing hormone levels, while positively associated with testosterone, fasting insulin, homeostasis model assessment-insulin resistance, and homeostasis model assessment-insulin resistance-β levels. The second-highest quintile of artificial light at night was associated with increased PCOS prevalence (odds ratio [OR long-term ] = 1.4; 95% confidence interval [CI] = 1.2, 1.6 and OR short-term = 1.3; 95% CI = 1.1, 1.5) compared with the lowest quintile. In addition, prevalence of PCOS was linearly associated with long-term exposure to artificial light at night, but nonlinearly associated with short-term exposure. This association was more evident in younger, obese or overweight, moderately educated, rural women, and for the summer and fall seasons. CONCLUSION Outdoor artificial light at night may be a novel risk factor for PCOS.
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Affiliation(s)
- Lanlan Fang
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Cong Ma
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
| | - Guosheng Wang
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Yongzhen Peng
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Hui Zhao
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Yuting Chen
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Yubo Ma
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Guoqi Cai
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
| | - Yunxia Cao
- Department of Obstetrics and Gynecology, the First Affiliated Hospital of Anhui Medical University, Hefei, China
- NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Anhui Medical University, Hefei, China
| | - Faming Pan
- From the Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- The Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, Anhui Medical University, Hefei, China
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Wang DS, Zhang HZ, Wu SH, Qian ZM, McMillin SE, Bingheim E, Tan WH, Huang WZ, Zhou PE, Liu RQ, Hu LW, Chen GB, Yang BY, Zeng XW, Hu QS, Lin LZ, Dong GH. Association Between Home Renovation and Sleeping Problems Among Children Aged 6-18 Years: A Nationwide Survey in China. Epidemiology 2024; 35:408-417. [PMID: 38261409 DOI: 10.1097/ede.0000000000001719] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2024]
Abstract
BACKGROUND Although the indoor environment has been proposed to be associated with childhood sleep health, to our knowledge no study has investigated the association between home renovation and childhood sleep problems. METHODS The study included 186,470 children aged 6-18 years from the National Chinese Children Health Study (2012-2018). We measured childhood sleeping problems via the Chinese version of the Sleep Disturbance Scale for Children (C-SDSC). Information on home renovation exposure within the recent 2 years was collected via parent report. We estimated associations between home renovation and various sleeping problems, defined using both continuous and categorized (binary) C-SDSC t-scores, using generalized mixed models. We fitted models with city as a random effect variable, and other covariates as fixed effects. RESULTS Out of the overall participants, 89,732 (48%) were exposed to recent home renovations. Compared to the unexposed group, children exposed to home renovations had higher odds of total sleep disorder (odd ratios [OR] = 1.3; 95% confidence interval [CI] = 1.2, 1.4). Associations varied when we considered different types of home renovation materials. Children exposed to multiple types of home renovation had higher odds of sleeping problems. We observed similar findings when considering continuous C-SDSC t-scores. Additionally, sex and age of children modified the associations of home renovation exposure with some of the sleeping problem subtypes. CONCLUSIONS We found that home renovation was associated with higher odds of having sleeping problems and that they varied when considering the type of renovation, cumulative exposure, sex, and age differences.
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Affiliation(s)
- Dao-Sen Wang
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Hong-Zhi Zhang
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Si-Han Wu
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Zheng-Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO
| | | | - Elizabeth Bingheim
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO
| | - Wei-Hong Tan
- Department of Reproductive Medicine and Genetics Center, The People's Hospital of Guangxi Zhuang Autonomous Region, Nanning, China
| | - Wen-Zhong Huang
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia
| | - Pei-En Zhou
- Department of Public Health & Primary Care, University of Cambridge, Cambridge CB2 1TN, UK
| | - Ru-Qing Liu
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li-Wen Hu
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Gong-Bo Chen
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Bo-Yi Yang
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Xiao-Wen Zeng
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Qian-Sheng Hu
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Li-Zi Lin
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Guang-Hui Dong
- From the Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment, Department of Occupational and Environmental Health, School of Public Health, Sun Yat-sen University, Guangzhou, China
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Sun Q, Ye F, Liu J, Yang Y, Hui Q, Chen Y, Liu D, Guo J, Wang C, Lv D, Tang L, Zhang Q. Outdoor artificial light at night exposure and gestational diabetes mellitus: a case-control study. Front Public Health 2024; 12:1396198. [PMID: 38660366 PMCID: PMC11039930 DOI: 10.3389/fpubh.2024.1396198] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2024] [Accepted: 04/02/2024] [Indexed: 04/26/2024] Open
Abstract
Objective This study aims to explore the association between outdoor artificial light at night (ALAN) exposure and gestational diabetes mellitus (GDM). Methods This study is a retrospective case-control study. According with quantiles, ALAN has been classified into three categories (Q1-Q3). GDM was diagnosed through oral glucose tolerance tests. Conditional logistic regression models were used to evaluate the association between ALAN exposure and GDM risk. The odds ratio (OR) with 95% confidence interval (CI) was used to assess the association. Restricted cubic spline analysis (RCS) was utilized to investigate the no liner association between ALAN and GDM. Results A total of 5,720 participants were included, comprising 1,430 individuals with GDM and 4,290 matched controls. Pregnant women exposed to higher levels of ALAN during the first trimester exhibited an elevated risk of GDM compared to those with lower exposure levels (Q2 OR = 1.39, 95% CI 1.20-1.63, p < 0.001); (Q3 OR = 1.70, 95% CI 1.44-2.00, p < 0.001). Similarly, elevated ALAN exposure during the second trimester also conferred an increased risk of GDM (second trimester: Q2 OR = 1.70, 95% CI 1.45-1.98, p < 0.001; Q3 OR = 2.08, 95% CI 1.77-2.44, p < 0.001). RCS showed a nonlinear association between ALAN exposure and GDM risk in second trimester pregnancy, with a threshold value of 4.235. Conclusion Outdoor ALAN exposure during pregnancy is associated with an increased risk of GDM.
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Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Precision and Smart Imaging Laboratory, Beijing Friendship Hospital, Capital Medical University, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Yang Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Qin Hui
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Jianning Guo
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
| | - Chao Wang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Di Lv
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Lijuan Tang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, Department of Pediatrics, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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8
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Regmi P, Young M, Minigo G, Milic N, Gyawali P. Photoperiod and metabolic health: evidence, mechanism, and implications. Metabolism 2024; 152:155770. [PMID: 38160935 DOI: 10.1016/j.metabol.2023.155770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 12/23/2023] [Accepted: 12/25/2023] [Indexed: 01/03/2024]
Abstract
Circadian rhythms are evolutionarily programmed biological rhythms that are primarily entrained by the light cycle. Disruption of circadian rhythms is an important risk factor for several metabolic disorders. Photoperiod is defined as total duration of light exposure in a day. With the extended use of indoor/outdoor light, smartphones, television, computers, and social jetlag people are exposed to excessive artificial light at night increasing their photoperiod. Importantly long photoperiod is not limited to any geographical region, season, age, or socioeconomic group, it is pervasive. Long photoperiod is an established disrupter of the circadian rhythm and can induce a range of chronic health conditions including adiposity, altered hormonal signaling and metabolism, premature ageing, and poor psychological health. This review discusses the impact of exposure to long photoperiod on circadian rhythms, metabolic and mental health, hormonal signaling, and ageing and provides a perspective on possible preventive and therapeutic approaches for this pervasive challenge.
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Affiliation(s)
- Prashant Regmi
- Faculty of Health, Charles Darwin University, Australia.
| | - Morag Young
- Cardiovascular Endocrinology Laboratory, Baker IDI Heart and Diabetes Institute, Australia
| | | | - Natalie Milic
- Faculty of Health, Charles Darwin University, Australia
| | - Prajwal Gyawali
- Centre of Health Research and School of Health and Medical Sciences, University of Southern Queensland, Australia
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9
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Stefanopoulou M, Ruhé N, Portengen L, van Wel L, Vrijkotte TGM, Vermeulen R, Huss A. Associations of light exposure patterns with sleep among Dutch children: The ABCD cohort study. J Sleep Res 2024:e14184. [PMID: 38410057 DOI: 10.1111/jsr.14184] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 02/13/2024] [Accepted: 02/13/2024] [Indexed: 02/28/2024]
Abstract
Light exposure affects the circadian system and consequently can affect sleep quality. Only few studies examined this relationship in children. We evaluated associations between light exposure patterns and sleep metrics in children. We measured the sleep parameters of 247 Dutch children, aged between 11 and 13 years and recruited from the ABCD cohort, using actigraphy and sleep records for 7 consecutive nights. Personal light exposures were measured with a light meter during the whole day and night. We applied generalized mixed-effects regression models, adjusted for possible confounders, to evaluate the associations of light exposure patterns on sleep duration, sleep efficiency and sleep-onset delay. In the models mutually adjusted for potential confounders, we found the amount of hours between the first time of bright light in the morning and going to sleep and the duration of bright light to be significantly associated with decreased sleep duration (in min; β: -2.02 [95% confidence interval: -3.84, -0.25], β: -8.39 [95% confidence interval: -16.70, -0.07], respectively) and with shorter sleep-onset delay (odds ratio: 0.88 [95% confidence interval: 0.80, 0.97], odds ratio: 0.40 [95% confidence interval: 0.19, 0.87], respectively). Increased light intensities at night were associated with decreased sleep duration (T2 β: -8.54 [95% confidence interval: -16.88, -0.20], T3 β: -14.83 [95% confidence interval: -28.04, -1.62]), while increased light intensities before going to bed were associated with prolonged sleep onset (odds ratio: 4.02 [95% confidence interval: 2.09, 7.73]). These findings further suggest that children may be able to influence their sleep quality by influencing the light exposure patterns during day and night.
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Affiliation(s)
| | - Naomi Ruhé
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Lützen Portengen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Luuk van Wel
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
| | - Tanja G M Vrijkotte
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam UMC, University of Amsterdam, Amsterdam, The Netherlands
| | - Roel Vermeulen
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
| | - Anke Huss
- Institute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands
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10
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Xu YJ, Xie ZY, Gong YC, Wang LB, Xie YY, Lin LZ, Zeng XW, Yang BY, Zhang W, Liu RQ, Hu LW, Chen G, Dong GH. The association between outdoor light at night exposure and adult obesity in Northeastern China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024; 34:708-718. [PMID: 36628496 DOI: 10.1080/09603123.2023.2165046] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Previous studies have linked exposure to light at night (LAN) with various health outcomes, but evidence is limited for the LAN-obesity association. Thestudy analysed data from 24,845 participants of the 33 Communities Chinese Health Study and obesity (BMI ≥28 kg/m2) was defined according to the Working Group on Obesity in China. The Global Radiance Calibrated Nighttime Lights data were used to estimate participants' LAN exposure. The mixed-effect regression models examined the LAN-BMI and LAN-obesity association. We found that higher LAN exposure was significantly associated with greater BMI and higher risk of obesity. Changes of BMI and the odds ratios (ORs) of obesity and 95% confidence intervals (CIs) for 2nd, 3rd, and 4th against the 1st quartile of LAN exposure were 0.363 (0.208, 0.519), 0.364 (0.211, 0.516) and 0.217 (0.051, 0.383); 1.228 (1.099, 1.371), 1.356 (1.196, 1.538) and 1.269 (1.124, 1.433), respectively. Age and regular exercise showed significant modification effects on the LAN-obesity association.
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Affiliation(s)
- Yu-Jie Xu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Zhong-Yue Xie
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yan-Chen Gong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Le-Bing Wang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Yin-Yu Xie
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
- Department of Global Health, School of Public Health, Wuhan University, Wuhan, Hubei, China
| | - Li-Zi Lin
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Xiao-Wen Zeng
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Bo-Yi Yang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Wangjian Zhang
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Ru-Qing Liu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Li-Wen Hu
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Gongbo Chen
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
| | - Guang-Hui Dong
- Guangdong Provincial Engineering Technology Research Center of Environmental Pollution and Health Risk Assessment; Department of Occupational and Environmental Health, School of Public Health, Sun Yat-Sen University, Guangzhou, China
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11
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Goldblatt R, Holz N, Tate G, Sherman K, Ghebremicael S, Bhuyan SS, Al-Ajlouni Y, Santillanes S, Araya G, Abad S, Herting MM, Thompson W, Thapaliya B, Sapkota R, Xu J, Liu J, Schumann G, Calhoun VD. "Urban-Satellite" estimates in the ABCD Study: Linking Neuroimaging and Mental Health to Satellite Imagery Measurements of Macro Environmental Factors. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2023.11.06.23298044. [PMID: 37986844 PMCID: PMC10659457 DOI: 10.1101/2023.11.06.23298044] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
While numerous studies over the last decade have highlighted the important influence of environmental factors on mental health, globally applicable data on physical surroundings are still limited. Access to such data and the possibility to link them to epidemiological studies is critical to unlocking the relationship of environment, brain and behaviour and promoting positive future mental health outcomes. The Adolescent Brain Cognitive Development (ABCD) Study is the largest ongoing longitudinal and observational study exploring brain development and child health among children from 21 sites across the United States. Here we describe the linking of the ABCD study data with satellite-based "Urban-Satellite" (UrbanSat) variables consisting of 11 satellite-data derived environmental indicators associated with each subject's residential address at their baseline visit, including land cover and land use, nighttime lights, and population characteristics. We present these UrbanSat variables and provide a review of the current literature that links environmental indicators with mental health, as well as key aspects that must be considered when using satellite data for mental health research. We also highlight and discuss significant links of the satellite data variables to the default mode network clustering coefficient and cognition. This comprehensive dataset provides the foundation for large-scale environmental epidemiology research.
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Affiliation(s)
| | - Nathalie Holz
- Department of Child and Adolescent Psychiatry and Psychotherapy, Central Institute of Mental Health, Medical Faculty Mannheim / Heidelberg University, Mannheim, Germany
| | - Garrett Tate
- New Light Technologies, Inc., Washington, DC 20012
| | - Kari Sherman
- New Light Technologies, Inc., Washington, DC 20012
| | | | - Soumitra S Bhuyan
- Edward J. Bloustein School of Planning and Public Policy, Rutgers University- New Brunswick
| | - Yazan Al-Ajlouni
- New York Medical College School of Medicine, Valhalla, NY 10595, USA
| | | | | | - Shermaine Abad
- Department of Radiology, University of California, San Diego, 92093
| | - Megan M. Herting
- University of Southern California, Keck School of Medicine of USC, Los Angeles, CA, 90089
| | - Wesley Thompson
- Laureate Institute for Brain Research, Tulsa, Oklahoma, 74136, USA
| | - Bishal Thapaliya
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Ram Sapkota
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | - Jiayuan Xu
- Department of Radiology and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, P.R. China
| | - Jingyu Liu
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
| | | | - Gunter Schumann
- Centre for Population Neuroscience and Stratified Medicine (PONS), ISTBI, Fudan University Shanghai, P.R. China
- PONS Centre, Dept. of Psychiatry and Neuroscience, CCM, Charite University Medicine Berlin, Germany
| | - Vince D. Calhoun
- Tri-institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, Emory, Atlanta, GA 30303
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12
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Wu N, Sun Y, Qiu T, Liu J, Cao Y, Zang T, Fan X, Bai J, Huang J, Liu Y. Associations of nighttime light exposure during pregnancy with maternal and neonatal gut microbiota: A cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168292. [PMID: 37924882 DOI: 10.1016/j.scitotenv.2023.168292] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2023] [Revised: 10/27/2023] [Accepted: 10/31/2023] [Indexed: 11/06/2023]
Abstract
BACKGROUND Nighttime light (NTL) pollution has been reported as a risk factor for human health. However, the relationship between NTL and gut microbiota has not been reported in pregnant women and neonates. This study was conducted to investigate the relationship between NTL and gut microbial diversity and composition in mothers and their neonates. METHODS This study analyzed 44 mothers and 28 newborns. The composition of gut microbiota was evaluated using 16S rRNA V3-V4 sequencing. The monthly mean NTL exposure during pregnancy was respectively calculated based on each participant's residential address (NTLpoint) and a concentric 1 km radius buffer zone around their address (NTL1000m). The relationships between NTL exposure and gut microbiota of mothers and newborns were assessed using generalized linear models. RESULTS NTL exposure during pregnancy was not associated with alpha diversity of mothers or neonates. For mothers, results revealed that after adjusting for covariates, NTLpoint was negatively correlated with Prevotella_2 (p = 0.004, FDR-adjusted p = 0.030) and norank_o__Gastranaerophilales (p = 0.018, FDR-adjusted p = 0.049) at the genus level. In addition, Lachnospira (p = 0.036, FDR-adjusted p = 0.052) and Coprococcus_3 (p = 0.025, FDR-adjusted p = 0.052) were positively correlated with NTLpoint. The association between Coprococcus_3 (p = 0.01, FDR-adjusted p = 0.046) and NTLpoint persisted even after controlling for covariates. For neonates, Thauera was positively associated with NTLpoint (p = 0.015) and NTL1000m (p = 0.028), however, after adjusting for covariates and FDR correction, Thauera was not significantly associated with NTLpoint and NTL1000m. CONCLUSIONS This study found that NTL exposure was associated with maternal gut microbiota composition. Our findings provide a foundation for the potential impact of NTL exposure on maternal gut microbiota from a microbiological perspective. More population-based validation of the effects of NTL exposure on human gut microbiota is needed in future.
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Affiliation(s)
- Ni Wu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Yu Sun
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China
| | - Tianlai Qiu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
| | - Jun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
| | - Yanan Cao
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
| | - Tianzi Zang
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
| | - Xiaoxiao Fan
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China.
| | - Jinbing Bai
- Emory University Nell Hodgson Woodruff School of Nursing, 1520 Clifton Road, Atlanta, GA 30322, USA.
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing 100191, China.
| | - Yanqun Liu
- Center for Women's and Children's Health, Wuhan University School of Nursing, Wuhan University, 169 Donghu Road, Wuhan 430071, China; Department of Hematology, Zhongnan Hospital of Wuhan University, Wuhan 430062, China.
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13
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Stone RA, Tobias JW, Wei W, Schug J, Wang X, Zhang L, Iuvone PM, Nickla DL. Diurnal retinal and choroidal gene expression patterns support a role for circadian biology in myopia pathogenesis. Sci Rep 2024; 14:533. [PMID: 38177383 PMCID: PMC10767138 DOI: 10.1038/s41598-023-50684-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 12/22/2023] [Indexed: 01/06/2024] Open
Abstract
The prevalence of myopia (nearsightedness) is increasing to alarming levels, but its etiology remains poorly understood. Because both laboratory and clinical findings suggest an etiologic role for circadian rhythms in myopia development, we assayed gene expression by RNA-Seq in retina and choroid at the onset of unilateral experimental myopia in chick, isolating tissues every 4 h during a single 24-h period from myopic and contralateral control eyes. Occluded versus open eye gene expression differences varied considerably over the 24-h sampling period, with some occurring at multiple times of day but with others showing differences at only a single investigated timepoint. Some of the genes identified in retina or choroid of chick myopia were previously identified as candidate genes for common human myopia. Like differentially expressed genes, pathways identified by Gene Set Enrichment Analysis also varied dramatically by sampling time. Considered with other laboratory data, human genetic and epidemiology data, these findings further implicate circadian events in myopia pathogenesis. The present results emphasize a need to include time of day in mechanistic studies of myopia and to assess circadian biology directly in trying to understand better the origin of myopia and to develop more effective therapies.
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Affiliation(s)
- Richard A Stone
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - John W Tobias
- Penn Genomics and Sequencing Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Wenjie Wei
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Jonathan Schug
- Penn Genomics and Sequencing Core, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Xia Wang
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, MA, USA
| | - Lixin Zhang
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, MA, USA
| | - P Michael Iuvone
- Department of Ophthalmology and Department of Pharmacology and Chemical Biology, Emory University School of Medicine, Atlanta, GA, USA
| | - Debora L Nickla
- Department of Biomedical Sciences and Disease, New England College of Optometry, Boston, MA, USA
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14
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Sun Q, Yang Y, Liu J, Ye F, Chen Y, Liu D, Zhang Q. Association between exposure to outdoor artificial light at night and the risk of preterm birth. Front Public Health 2023; 11:1280790. [PMID: 38162621 PMCID: PMC10756648 DOI: 10.3389/fpubh.2023.1280790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 11/30/2023] [Indexed: 01/03/2024] Open
Abstract
Background This study aimed to investigate the association between outdoor artificial light at night (ALAN) exposure during pregnancy and the risk of preterm birth (PTB). Methods A retrospective case-control study was conducted, and data were collected from pregnant women residing in Beijing, China. The level of ALAN exposure during pregnancy was estimated using remote sensing satellite data. Propensity score matching was utilized to match the control group. Logistic and multivariate linear regression were used to analyze the association between ALAN and the risk of PTB. The odds ratio (OR) and partial regression coefficient (β) with 95% confidence interval (CI) were utilized to assess the association. Results A total of 2,850 pregnant women were enrolled in this study. ALAN (nW/cm2/sr) exposure was higher in the PTB group than in the control group during first trimester (mean ± standard deviation: 25.30 ± 17.91 vs. 17.56 ± 14.74, p < 0.001) and second trimester (27.07 ± 18.10 vs. 21.93 ± 16.08, p < 0.001). A negative association was found between ALAN exposure and gestation day in the first (β = -0.151, 95%CI: -0.217 to -0.085, p < 0.001) and second trimesters (β = -0.077, 95%CI: -0.139 to -0.015, p = 0.015). ALAN was identified as a risk factor for PTB during the first trimester (OR = 1.032, 95%CI: 1.025-1.040, p < 0.001) and the second trimester (OR = 1.018, 95%CI: 1.011-1.025, p < 0.001), while no significant association was observed in the third trimester. Conclusion Our study suggesting that exposure to outdoor ALAN, especially during first and second trimester, was associated with the risk of PTB. These findings highlight the potential impact of ALAN on pregnancy health and offer new insights into the risk of PTB.
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Affiliation(s)
- Qi Sun
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Yang Yang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Jing Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
| | - Fang Ye
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Yuanmei Chen
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Die Liu
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
| | - Qi Zhang
- National Center for Respiratory Medicine, State Key Laboratory of Respiratory Health and Multimorbidity, National Clinical Research Center for Respiratory Diseases, Institute of Respiratory Medicine, Chinese Academy of Medical Sciences, Department of Pediatrics, China-Japan Friendship Hospital, Beijing, China
- Graduate School of Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing, China
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Zhong C, Yin X, Fallah-Shorshani M, Islam T, McConnell R, Fruin S, Franklin M. Disparities in greenspace associated with sleep duration among adolescent children in Southern California. Environ Epidemiol 2023; 7:e264. [PMID: 37545810 PMCID: PMC10402945 DOI: 10.1097/ee9.0000000000000264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Accepted: 07/03/2023] [Indexed: 08/08/2023] Open
Abstract
More than half of adolescent children do not get the recommended 8 hours of sleep necessary for optimal growth and development. In adults, several studies have evaluated effects of urban stressors including lack of greenspace, air pollution, noise, nighttime light, and psychosocial stress on sleep duration. Little is known about these effects in adolescents, however, it is known that these exposures vary by socioeconomic status (SES). We evaluated the association between several environmental exposures and sleep in adolescent children in Southern California. Methods In 2010, a total of 1476 Southern California Children's Health Study (CHS) participants in grades 9 and 10 (mean age, 13.4 years; SD, 0.6) completed a questionnaire including topics on sleep and psychosocial stress. Exposures to greenspace, artificial light at night (ALAN), nighttime noise, and air pollution were estimated at each child's residential address, and SES was characterized by maternal education. Odds ratios and 95% confidence intervals (95% CIs) for sleep outcomes were estimated by environmental exposure, adjusting for age, sex, race/ethnicity, home secondhand smoke, and SES. Results An interquartile range (IQR) increase in greenspace decreased the odds of not sleeping at least 8 hours (odds ratio [OR], 0.86 [95% CI, 0.71, 1.05]). This association was significantly protective in low SES participants (OR, 0.77 [95% CI, 0.60, 0.98]) but not for those with high SES (OR, 1.16 [95%CI, 0.80, 1.70]), interaction P = 0.03. Stress mediated 18.4% of the association among low SES participants. Conclusions Residing in urban neighborhoods of greater greenness was associated with improved sleep duration among children of low SES but not higher SES. These findings support the importance of widely reported disparities in exposure and access to greenspace in socioeconomically disadvantaged populations.
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Affiliation(s)
- Charlie Zhong
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Xiaozhe Yin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Masoud Fallah-Shorshani
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Talat Islam
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Rob McConnell
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Scott Fruin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
| | - Meredith Franklin
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California
- Department of Statistical Sciences and School of the Environment, University of Toronto, Toronto, Ontario, Canada
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Xu Z, Jin J, Yang T, Wang Y, Huang J, Pan X, Frank K, Li G. Outdoor light at night, genetic predisposition and type 2 diabetes mellitus: A prospective cohort study. ENVIRONMENTAL RESEARCH 2023; 219:115157. [PMID: 36572333 DOI: 10.1016/j.envres.2022.115157] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2022] [Revised: 12/17/2022] [Accepted: 12/23/2022] [Indexed: 06/17/2023]
Abstract
BACKGROUND According to animal and human epidemiologic studies, exposure to outdoor light at night (LAN) may cause circadian disruption, which may disturb sleep quality and lead to incident type 2 diabetes mellitus (T2DM). METHODS We followed 283,374 persons from 2006 through 2020. Outdoor LAN exposure was estimated using satellite data for individual address with 500 m2 scale buffer during follow-up. Incidence of T2DM was confirmed by hospital inpatient records. We identified potential confounders by a directed acyclic graph, including demographic, genetic, individual and regional level socioeconomic status, and environmental risk factors, and calculated hazard ratios (HRs) and 95% confidence intervals (CIs) through time-varying Cox proportional hazard model. Furthermore, we examined the association of outdoor LAN with a defined health sleep scores and moderation of genetic predisposition and shift work on the relationship of outdoor LAN and incident T2DM. RESULTS We identified 7,775 incident T2DM cases over 3,027,505 person-years. Higher outdoor LAN exposures were significantly associated with higher risk of T2DM. The estimated HR for incident T2DM with an interquartile range (IQR: 11.22 nW/cm2/sr) increase in outdoor LAN was 1.05 (95%CI: 1.01, 1.09) in the fully adjusted model. Participants who lived in the highest quarter of outdoor LAN area were more likely to develop T2DM (HR: 1.14,95%CI: 1.02, 1.27). Besides, those who were exposed to higher levels of outdoor LAN had poorer sleep quality. No moderation role of PRS on outdoor LAN-induced T2DM observed both on the multiplicated and additive scale. The hazards of outdoor LAN were observed in those who never owned a night shift work. CONCLUSION Although further work is required to clarify potential mechanisms, our findings indicate that exposure to residential outdoor LAN may contribute to T2DM risk and low sleep quality.
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Affiliation(s)
- Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Xiaochuan Pan
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China
| | - Kelly Frank
- Environmental Research Group,School of Public Health,Imperial College London, London, United Kingdom
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, 38 Xueyuan Road, Haidian District, Beijing, 100191, Beijing, China.
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Dang J, Shi D, Li X, Ma N, Liu Y, Zhong P, Yan X, Zhang J, Lau PWC, Dong Y, Song Y, Ma J. Artificial Light-at-Night Exposure and Overweight and Obesity across GDP Levels among Chinese Children and Adolescents. Nutrients 2023; 15:nu15040939. [PMID: 36839297 PMCID: PMC9961462 DOI: 10.3390/nu15040939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 01/23/2023] [Accepted: 02/10/2023] [Indexed: 02/16/2023] Open
Abstract
BACKGROUND Evidence in adults suggests that exposure to artificial light-at-night (ALAN) leads to obesity. However, little is known about whether this effect exists in children and adolescents. We aimed to investigate whether ALAN exposure was associated with overweight and obesity in school-aged children and adolescents and whether this association varied with socioeconomic status. METHODS Data on the height and weight of 129,500 children and adolescents aged 10-18 years from 72 cities were extracted from the 2014 Chinese National Survey on Students' Constitution and Health (CNSSCH). The ALAN area percentage and average ALAN intensity were calculated using the Visible/Infrared Imager/Radiometer Suite. The subjects were separated into three categories based on the cities' gross domestic product per capita (GDPPC). A mixed-effect logistic regression model and generalized additive model (GAM) were utilized to evaluate the association between ALAN exposure and overweight and obesity in children and adolescents stratified by municipal GDPPC. RESULTS Both ALAN area (OR = 1.194, 95% CI: 1.175-1.212) and ALAN intensity (OR = 1.019, 95% CI: 1.017-1.020) were positively associated with overweight and obesity in children and adolescents, and the associations remained robust after adjusting for covariates. ORs for overweight and obesity and ALAN area decreased as GDPPC level increased (first tertile: OR = 1.457, 95% CI: 1.335-1.590; second tertile: OR = 1.350, 95% CI: 1.245-1.464; third tertile: OR = 1.100, 95% CI: 1.081-1.119). Similar results were observed for ALAN intensity. In the GAM models, thresholds existed in almost all these spline trends, indicating that ALAN might have a nonlinear association with overweight and obesity. CONCLUSIONS ALAN contributed to the development of overweight and obesity in children and adolescents and this effect differed with GDPPC. Future longitudinal studies should confirm the causal relationship between ALAN and obesity. Moreover, reducing unnecessary exposure to artificial light at night may have beneficial implications for controlling childhood and adolescent obesity, particularly in low-income areas.
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Affiliation(s)
- Jiajia Dang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Di Shi
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Xi Li
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430000, China
- Collaborative Innovation Centre of Geospatial Technology, Wuhan University, Wuhan 430000, China
| | - Ning Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yunfei Liu
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Panliang Zhong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Xiaojin Yan
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Jingshu Zhang
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Patrick W. C. Lau
- Department of Sport, Physical Education and Health, Hong Kong Baptist University, Kowloon Tong, Hong Kong 999077, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
- Correspondence: ; Tel.: +86-10-8280-1624
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University, Beijing 100191, China
- National Health Commission Key Laboratory of Reproductive Health, Peking University, Beijing 100191, China
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