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Chen PY, Shen M, Cai SQ, Tang ZW. Association Between Atopic Dermatitis and Aging: Clinical Observations and Underlying Mechanisms. J Inflamm Res 2024; 17:3433-3448. [PMID: 38828054 PMCID: PMC11144009 DOI: 10.2147/jir.s467099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2024] [Accepted: 05/17/2024] [Indexed: 06/05/2024] Open
Abstract
As one of the most prevalent chronic inflammatory skin diseases, atopic dermatitis (AD) increasingly affects the aging population. Amid the ongoing global aging trend, it's essential to recognize the intricate relationship between AD and aging. This paper reviews existing knowledge, summarizing clinical observations of associations between AD and aging-related diseases in various systems, including endocrine, cardiovascular, and neurological. Additionally, it discusses major theories explaining the correlation, encompassing skin-mucosal barriers, systemic inflammation and stress, genes, signal transduction, and environmental and behavioral factors. The association between AD and aging holds significant importance, both in population and basic perspectives. While further research is warranted, this paper aims to inspire deeper exploration of inflammation/allergy-aging dynamics and the timely management of elderly patients with AD.
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Affiliation(s)
- Peng-Yu Chen
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People’s Republic of China
| | - Minxue Shen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, 410008, People’s Republic of China
- Hunan Engineering Research Center of Skin Health and Disease; Hunan Key Laboratory of Skin Cancer and Psoriasis (Xiangya Hospital), Changsha, 410008, People’s Republic of China
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, 410078, People’s Republic of China
| | - Sui-Qing Cai
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People’s Republic of China
| | - Zhen-Wei Tang
- Department of Dermatology, Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, 310009, People’s Republic of China
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Muntyanu A, Milan R, Kaouache M, Ringuet J, Gulliver W, Pivneva I, Royer J, Leroux M, Chen K, Yu Q, Litvinov IV, Griffiths CEM, Ashcroft DM, Rahme E, Netchiporouk E. Tree-Based Machine Learning to Identify Predictors of Psoriasis Incidence at the Neighborhood Level: A Populational Study from Quebec, Canada. Am J Clin Dermatol 2024; 25:497-508. [PMID: 38498268 DOI: 10.1007/s40257-024-00854-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/15/2024] [Indexed: 03/20/2024]
Abstract
BACKGROUND Psoriasis is a major global health burden affecting ~ 60 million people worldwide. Existing studies on psoriasis focused on individual-level health behaviors (e.g. diet, alcohol consumption, smoking, exercise) and characteristics as drivers of psoriasis risk. However, it is increasingly recognized that health behavior arises in the context of larger social, cultural, economic and environmental determinants of health. We aimed to identify the top risk factors that significantly impact the incidence of psoriasis at the neighborhood level using populational data from the province of Quebec (Canada) and advanced tree-based machine learning (ML) techniques. METHODS Adult psoriasis patients were identified using International Classification of Disease (ICD)-9/10 codes from Quebec (Canada) populational databases for years 1997-2015. Data on environmental and socioeconomic factors 1 year prior to psoriasis onset were obtained from the Canadian Urban Environment Health Consortium (CANUE) and Statistics Canada (StatCan) and were input as predictors into the gradient boosting ML. Model performance was evaluated using the area under the curve (AUC). Parsimonious models and partial dependence plots were determined to assess directionality of the relationship. RESULTS The incidence of psoriasis varied geographically from 1.6 to 325.6/100,000 person-years in Quebec. The parsimonious model (top 9 predictors) had an AUC of 0.77 to predict high psoriasis incidence. Amongst top predictors, ultraviolet (UV) radiation, maximum daily temperature, proportion of females, soil moisture, urbanization, and distance to expressways had a negative association with psoriasis incidence. Nighttime light brightness had a positive association, whereas social and material deprivation indices suggested a higher psoriasis incidence in the middle socioeconomic class neighborhoods. CONCLUSION This is the first study to highlight highly variable psoriasis incidence rates on a jurisdictional level and suggests that living environment, notably climate, vegetation, urbanization and neighborhood socioeconomic characteristics may have an association with psoriasis incidence.
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Affiliation(s)
- Anastasiya Muntyanu
- Department of Experimental Medicine, McGill University, Montreal, Canada
- Division of Dermatology, University of Toronto, Toronto, Canada
| | - Raymond Milan
- Department of Experimental Medicine, McGill University, Montreal, Canada
| | - Mohammed Kaouache
- Centre for Outcomes Research and Evaluation, Research Institute of the McGill University Health Centre, Montreal, QC, Canada
| | - Julien Ringuet
- Centre de Recherche Dermatologique de Québec, Québec, Canada
| | - Wayne Gulliver
- Faculty of Medicine, Memorial University of Newfoundland, St. John's, NL, Canada
| | | | | | | | | | - Qiuyan Yu
- Ecological and Biological Sciences, Exponent Inc, Menlo Park, USA
| | - Ivan V Litvinov
- Division of Dermatology, Department of Medicine, McGill University Health Centre, Montreal General Hospital, Montreal, QC, Canada
| | | | - Darren M Ashcroft
- School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Global Psoriasis Atlas, Manchester, UK
| | - Elham Rahme
- Department of Medicine, Division of Clinical Epidemiology, McGill University, Montreal, QC, Canada
| | - Elena Netchiporouk
- Division of Dermatology, Department of Medicine, McGill University Health Centre, Montreal General Hospital, Montreal, QC, Canada.
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Deprato A, Maidstone R, Cros AP, Adan A, Haldar P, Harding BN, Lacy P, Melenka L, Moitra S, Navarro JF, Kogevinas M, Durrington HJ, Moitra S. Influence of light at night on allergic diseases: a systematic review and meta-analysis. BMC Med 2024; 22:67. [PMID: 38355588 PMCID: PMC10865638 DOI: 10.1186/s12916-024-03291-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Accepted: 02/09/2024] [Indexed: 02/16/2024] Open
Abstract
BACKGROUND Allergic diseases impose a significant global disease burden, however, the influence of light at night exposure on these diseases in humans has not been comprehensively assessed. We aimed to summarize available evidence considering the association between light at night exposure and major allergic diseases through a systematic review and meta-analysis. METHODS We completed a search of six databases, two registries, and Google Scholar from inception until December 15, 2023, and included studies that investigated the influence of artificial light at night (ALAN, high vs. low exposure), chronotype (evening vs. morning chronotype), or shift work (night vs. day shift work) on allergic disease outcomes (asthma, allergic rhinitis, and skin allergies). We performed inverse-variance random-effects meta-analyses to examine the association between the exposures (ALAN exposure, chronotype, or shiftwork) and these allergic outcomes. Stratification analyses were conducted by exposure type, disease type, participant age, and geographical location along with sensitivity analyses to assess publication bias. RESULTS We included 12 publications in our review. We found that exposure to light at night was associated with higher odds of allergic diseases, with the strongest association observed for ALAN exposure (OR: 1.88; 95% CI: 1.04 to 3.39), followed by evening chronotype (OR: 1.35; 95% CI: 0.98 to 1.87) and exposure to night shift work (OR: 1.33; 95% CI: 1.06 to 1.67). When analyses were stratified by disease types, light at night exposure was significantly associated with asthma (OR: 1.62; 95% CI: 1.19 to 2.20), allergic rhinitis (OR: 1.89; 95% CI: 1.60 to 2.24), and skin allergies (OR: 1.11; 95% CI: 1.09 to 1.91). We also found that the association between light at night exposure and allergic diseases was more profound in youth (OR: 1.63; 95% CI: 1.07 to 2.48) than adults (OR: 1.30; 95% CI: 1.03 to 1.63). Additionally, we observed significant geographical variations in the association between light at night exposure and allergic diseases. CONCLUSIONS Light at night exposure was associated with a higher prevalence of allergic diseases, both in youth and adults. More long-term epidemiological and mechanistic research is required to understand the possible interactions between light at night and allergic diseases.
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Affiliation(s)
- Andy Deprato
- Alberta Respiratory Centre and Division of Pulmonary Medicine, University of Alberta, Edmonton, AB, Canada
- Michael G. DeGroote School of Medicine, McMaster University, Hamilton, ON, Canada
| | - Robert Maidstone
- Division of Immunology, Immunity to Infection, and Respiratory Medicine, University of Manchester, Manchester, UK
| | - Anna Palomar Cros
- Non-Communicable Diseases and Environment Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Experimental and Health Sciences, University of Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain
| | - Ana Adan
- Department of Clinical Psychology and Psychobiology, University of Barcelona, Barcelona, Spain
- Institute of Neurosciences, University of Barcelona, Barcelona, Spain
| | - Prasun Haldar
- Department of Medical Laboratory Technology, Supreme Institute of Management and Technology, Mankundu, India
| | - Barbara N Harding
- Non-Communicable Diseases and Environment Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Experimental and Health Sciences, University of Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain
| | - Paige Lacy
- Alberta Respiratory Centre and Division of Pulmonary Medicine, University of Alberta, Edmonton, AB, Canada
| | - Lyle Melenka
- Synergy Respiratory and Cardiac Care, Sherwood Park, Alberta, Canada
| | - Saibal Moitra
- Department of Allergy and Immunology, Apollo Multispeciality Hospitals, Kolkata, India
| | - José Francisco Navarro
- Department of Psychobiology and Methodology of Behavioural Sciences, University of Málaga, Málaga, Spain
| | - Manolis Kogevinas
- Non-Communicable Diseases and Environment Programme, Barcelona Institute for Global Health (ISGlobal), Barcelona, Spain
- Department of Experimental and Health Sciences, University of Pompeu Fabra (UPF), Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), Carlos III Institute of Health, Madrid, Spain
- Hospital del Mar Medical Research Institute (IMIM), Barcelona, Spain
| | - Hannah J Durrington
- Division of Immunology, Immunity to Infection, and Respiratory Medicine, University of Manchester, Manchester, UK
| | - Subhabrata Moitra
- Alberta Respiratory Centre and Division of Pulmonary Medicine, University of Alberta, Edmonton, AB, Canada.
- Canadian VIGOUR Centre, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
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Chen X, Wen J, Wu W, Peng Q, Cui X, He L. A review of factors influencing sensitive skin: an emphasis on built environment characteristics. Front Public Health 2023; 11:1269314. [PMID: 38111482 PMCID: PMC10726041 DOI: 10.3389/fpubh.2023.1269314] [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: 07/29/2023] [Accepted: 11/20/2023] [Indexed: 12/20/2023] Open
Abstract
Background Sensitive skin (SS) is a condition characterized by hyperreactivity. Impacting around 37 percent of the worldwide population and exerting an influence on the quality of life for affected individuals. Its prevalence rate has increased due to factors such as elevating stress levels and deteriorating environmental conditions. The exposome factors influencing SS have extended from demographic, biological attributes, and lifestyle to external environments. Built environments (BEs) have demonstrated as root drivers for changes in behaviors and environmental exposure which have the potential to trigger SS, but the review of the associations between BEs and SS is currently lacking. Objective This review aims to achieve two primary objectives: (1) Examine exposome factors that exert influence on SS at the individual and environmental levels. (2) Develop a theoretical framework that establishes a connection between BEs and SS, thereby offering valuable insights into the impact of the built environment on this condition. Methods An extensive literature search was carried out across multiple fields, including sociology, epidemiology, basic medicine, clinical medicine, and environmental research, with a focus on SS. To identify pertinent references, renowned databases such as PubMed, Web of Science, and CNKI were utilized. Results SS is the outcome of interactions between individual attributes and environmental factors. These influencing factors can be categorized into five distinct classes: (1) demographic and socioeconomic characteristics including age, gender, and race; (2) physiological and biological attributes such as emotional changes, skin types, sleep disorders, and menstrual cycles in women; (3) behavioral factors, such as spicy diet, cosmetic use, alcohol consumption, and physical exercise; (4) natural environmental features, including climate conditions and air pollution; (5) built environmental features such as population density, green space availability, road network density, and access to public transportation, also have the potential to affect the condition. Conclusion The importance of interdisciplinary integration lies in its ability to ascertain whether and how BEs are impacting SS. By elucidating the role of BEs in conjunction with other factors in the onset of SS, we can provide guidance for future research endeavors and the formulation of interventions aimed at mitigating the prevalence of SS.
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Affiliation(s)
- Xiangfeng Chen
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Jing Wen
- The Centre for Modern Chinese City Studies, East China Normal University, Shanghai, China
| | - Wenjuan Wu
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
| | - Qiuzhi Peng
- Faculty of Land Resources Engineering, Kunming University of Science and Technology, Kunming, China
| | - Xiangfen Cui
- Faculty of Environmental Science and Engineering, Kunming University of Science and Technology, Kunming, China
| | - Li He
- Department of Dermatology, First Affiliated Hospital of Kunming Medical University, Kunming, China
- Yunnan Institute of Skin Health, Kunming, China
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Jin J, Han W, Yang T, Xu Z, Zhang J, Cao R, Wang Y, Wang J, Hu X, Gu T, He F, Huang J, Li G. Artificial light at night, MRI-based measures of brain iron deposition and incidence of multiple mental disorders. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 902:166004. [PMID: 37544462 DOI: 10.1016/j.scitotenv.2023.166004] [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: 05/25/2023] [Revised: 07/21/2023] [Accepted: 08/01/2023] [Indexed: 08/08/2023]
Abstract
BACKGROUND Epidemiologic evidence on whether iron accumulation in brain modified the association between artificial light at night (ALAN) and incident mental disorders is lacking. The authors aims to investigate modification of brain iron deposition on the associations of ALAN with multiple mental disorders in the middle-aged and older adults. METHODS This prospective study used data from the UK Biobank. ALAN was drawn from satellite datasets. Susceptibility-weighted magnetic resonance imaging was used to ascertain iron content of each brain region. T2* signal loss was used as indices of iron deposition. The main outcomes are impacts of ALAN exposure on onset of wide spectrum of physician-diagnosed mental disorders, which was estimated by time-varying Cox proportional hazard model. The authors further conducted stratified analyses by levels of iron brain deposition to examine the potential modifying effects. RESULTS Among 298,283 participants followed for a median of 10.91 years, higher ALAN exposure was associated with increased risk of mental disorders. An IQR (11.37 nW/cm2/sr) increase in annual levels of ALAN was associated with an HR of 1.050 (95 % CI: 1.034,1.066) for any mental disorder, 1.076 (95 % CI: 1.053,1.099) for substance use disorder, and 1.036 (95 % CI: 1.004,1.069) for depression disorder in fully adjusted models. The exposure-response curves showed steeper trends at lower ALAN levels and a plateau at higher exposures. The associations were stronger in participants with high iron deposition in left hippocampus, left accumbens and left pallidum. CONCLUSIONS ALAN was associated with multiple mental disorders in the middle-aged and older adults, and the findings indicated stricter standards of ALAN is needed and targeted preventive measures are warranted, especially with high brain iron deposition.
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Affiliation(s)
- Jianbo Jin
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Wenxing Han
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Teng Yang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Zhihu Xu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Jin Zhang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Ru Cao
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Yuxin Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Jiawei Wang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Xin Hu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Tiantian Gu
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China.
| | - Fan He
- Beijing Anding Hospital, Capital Medical University, Beijing, China.
| | - Jing Huang
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China; Peking University Institute for Global Health and Development, Beijing, China.
| | - Guoxing Li
- Department of Occupational and Environmental Health Sciences, Peking University School of Public Health, Beijing, China; Environmental Research Group, School of Public Health, Imperial college London, London, UK.
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Shen M, Li Y, Li S, Chen X, Zou B, Lu Y. Association of exposure to artificial light at night during adolescence with blood pressure in early adulthood. Chronobiol Int 2023; 40:1419-1426. [PMID: 37818634 DOI: 10.1080/07420528.2023.2266485] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2022] [Accepted: 09/28/2023] [Indexed: 10/12/2023]
Abstract
Artificial light at night (ALAN) is related to various diseases, such as cancer, obesity, and coronary heart disease. However, its impact on blood pressure in adolescents is not well understood. To investigate this, we conducted a cross-sectional study with a nationwide sample of college students in China, who were freshmen from four disperse universities during Sep. and Oct. 2018. Mean levels of ALAN at participants' residential addresses during 2013-2018 were estimated using time-varying satellite data. The association of the 6-y average of ALAN with blood pressure was estimated by using generalized linear mixed models. A total of 17 046 participants (18.2 ± 0.7 y of age, 46.79% female) from 2,412 counties and cities were included in the final analysis. After a full adjustment for potential confounders, ALAN was positively associated with systolic blood pressure (β = 0.20, p = 0.032) and pulse pressure (β = 0.28, p = 0.001), but there was no association between ALAN and diastolic blood pressure (β = -0.08, p = 0.213). In the sensitivity analysis, the results consistent with the main analysis were observed. The blood pressure of males and those with a BMI ≤24 kg/m2 were more susceptible to ALAN exposure. Our findings highlight the importance of ALAN management for blood pressure control, particularly among male and normal-weight individuals.
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Affiliation(s)
- Minxue Shen
- Department of Social Medicine and Health Management, Xiangya School of Public Health, Central South University, Changsha, China
| | - Yalan Li
- Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
| | - Shenxin Li
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info-physics, Central South University, Changsha, China
| | - Xiang Chen
- Department of Dermatology, Xiangya Hospital, Central South University, Changsha, China
| | - Bin Zou
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info-physics, Central South University, Changsha, China
| | - Yao Lu
- Clinical Research Center, The Third Xiangya Hospital, Central South University, Changsha, China
- Faculty of Life Sciences & Medicine, King's College London, London, UK
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Wu J, Li S, Duan J, Li Y, Wang J, Deng P, Meng C, Wang W, Yuan H, Lu Y, Shen M, Zhao Q. Association of joint exposure to various ambient air pollutants during adolescence with blood pressure in young adulthood. J Clin Hypertens (Greenwich) 2023; 25:708-714. [PMID: 37409562 PMCID: PMC10423767 DOI: 10.1111/jch.14685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/16/2023] [Accepted: 05/28/2023] [Indexed: 07/07/2023]
Abstract
The association of various air pollutants exposure during adolescence with blood pressure (BP) in young adulthood is uncertain. We intended to evaluate the long-term association of individual and joint air pollutants exposure during adolescence with BP in young adulthood. This cross-sectional study of incoming students was conducted in five geographically disperse universities in China during September and October 2018. Mean concentrations of particulate matter with diameters ≤2.5 μm (PM2.5 ), ≤10 μm (PM10 ), nitrogen dioxides (NO2 ), carbon monoxide (CO), sulfur dioxide (SO2 ), and ozone (O3 ) at participants' residential addresses during 2013-2018 were collected from the Chinese Air Quality Reanalysis dataset. Generalized linear mixed models (GLM) and quantile g-computation (QgC) models were utilized to estimate the association between individual and joint air pollutants exposure and systolic blood pressure (SBP), diastolic blood pressure (DBP), and pulse pressure (PP). A total of 16,242 participants were included in the analysis. The GLM analyses showed that PM2.5 , PM10 , NO2 , CO, and SO2 were significantly positively associated with SBP and PP, while O3 was positively associated with DBP. The QgC analyses indicated that long-term exposure to a mixture of the six air pollutants had a significant positive joint association with SBP and PP. In conclusion, air pollutant co-exposure during adolescence may influence BP in young adulthood. The findings of this study emphasized the impacts of multiple air pollutants interactions on potential health and the need of minimizing pollution exposures in the environment.
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Affiliation(s)
- Jingjing Wu
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Shenxin Li
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info‐physicsCentral South UniversityChangshaChina
| | - Jingwen Duan
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Yalan Li
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Jie Wang
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Peizhi Deng
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Changjiang Meng
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Wei Wang
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
| | - Hong Yuan
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
- Health Management Center, The Third Xiangya HospitalCentral South UniversityChangshaChina
| | - Yao Lu
- Clinical Research Center, The Third Xiangya HospitalCentral South UniversityChangshaHunanChina
- Health Management Center, The Third Xiangya HospitalCentral South UniversityChangshaChina
- School of Life Course SciencesKing's College LondonLondonUK
| | - Minxue Shen
- Department of Social Medicine and Health Management, Xiangya School of Public HealthCentral South UniversityChangshaChina
| | - Qiuping Zhao
- Fuwai Central China Cardiovascular HospitalHeart Center of Henan Provincial People's HospitalZhengzhouChina
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Wang T, Kaida N, Kaida K. Effects of outdoor artificial light at night on human health and behavior: A literature review. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 323:121321. [PMID: 36805469 DOI: 10.1016/j.envpol.2023.121321] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 02/16/2023] [Accepted: 02/17/2023] [Indexed: 06/18/2023]
Abstract
The quality of life of human beings has improved tremendously through improved productivity, convenience, safety, and livability due to nighttime lights that illuminate outdoor work, leisure, and mobility. Recently, however, concerns have been growing over outdoor artificial light at night (ALAN) and its effects on human beings as well as ecosystems including animals and plants. This literature review aims to deliver a critical overview of the findings and the areas for future research on the effects of outdoor ALAN on human health and behaviors. Through a narrative literature review, we found that scientific research crucially lacks studies on the effects of outdoor ALAN on human behaviors and health, including social interaction, which may be more widespread compared to what is recognized so far. This review also highlights the importance of investigating the causal and complex relationships between outdoor ALAN, health, and behaviors with sleep as a key mediating factor. We elucidate that outdoor ALAN has both positive and negative effects on human life. Therefore, it is important for societies to be able to access facts and evidence about these effects to plan, agree to, and realize the optimal usage of nighttime lighting that balances its merits and demerits. Researchers in related areas of study must investigate and deliver the science of outdoor ALAN to various stakeholders, such as citizens, policymakers, urban and landscape planners, relevant practitioners, and industries. We believe that our review improves the understanding of outdoor ALAN in relation to human life and contributes to sustainable and thriving societies.
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Affiliation(s)
- Tongyu Wang
- Graduate School of Systems and Information Engineering, University of Tsukuba, Japan; Institute for Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Japan.
| | - Naoko Kaida
- Institute of Systems and Information Engineering, University of Tsukuba, Japan; Institute for Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Japan.
| | - Kosuke Kaida
- Institute for Information Technology and Human Factors, National Institute of Advanced Industrial Science and Technology (AIST), Japan.
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Lu Y, Yin P, Wang J, Yang Y, Li F, Yuan H, Li S, Long Z, Zhou M. Light at night and cause-specific mortality risk in Mainland China: a nationwide observational study. BMC Med 2023; 21:95. [PMID: 36927443 PMCID: PMC10022237 DOI: 10.1186/s12916-023-02822-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2022] [Accepted: 03/08/2023] [Indexed: 03/18/2023] Open
Abstract
BACKGROUND While epidemiological studies have found correlations between light at night (LAN) and health effects, none has so far investigated the impacts of LAN on population mortality yet. We aimed to estimate the relative risk for mortality from exposure to LAN in Mainland China. METHODS This time-stratified case-crossover nationwide study used NPP-VIIRS to obtain daily LAN data of Mainland China between 2015 and 2019. The daily mortality data were obtained from the Disease Surveillance Point System in China. Conditional Poisson regression models were applied to examine the relative risk (RR) for mortality along daily LAN in each county, then meta-analysis was performed to combine the county-specific estimates at the national or regional level. RESULTS A total of 579 counties with an average daily LAN of 4.39 (range: 1.02-35.46) were included in the main analysis. The overall RRs per 100 nW/cm2/sr increases in daily LAN were 1.08 (95%CI: 1.05-1.11) for all-cause mortality and 1.08 (95%CI: 1.05-1.11) for natural-cause mortality. A positive association between LAN and all natural cause-specific mortality was observed, of which the strongest effect was observed on mortality caused by neuron system disease (RR = 1.32, 95%CI: 1.14-1.52). The results were robust in both younger and old, as well as in males and females. The more pronounced effect of LAN was observed in median LAN-level regions. Combined with an exposure-response curve, our study suggests a non-linear association between LAN and mortality in China. CONCLUSIONS Our study shows LAN is associated with mortality in China, particularly for neuron system disease-related mortality. These findings have important implications for public health policy establishment to minimize the health consequences of light pollution.
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Affiliation(s)
- Yao Lu
- Clinical Research Center, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Jie Wang
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Yiping Yang
- Clinical Research Center, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Fei Li
- Department of Cardiology, The Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Hong Yuan
- Clinical Research Center, the Third Xiangya Hospital, Central South University, Changsha, 410013, China
| | - Shenxin Li
- Department of Surveying and Remote Sensing Science, School of Geosciences and Info-Physics, Central South University, Changsha, 410083, China
| | - Zheng Long
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, China
| | - Maigeng Zhou
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Xicheng District, Beijing, 100050, 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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Xu YX, Zhou Y, Huang Y, Yu Y, Li JY, Huang WJ, Wan YH, Tao FB, Sun Y. Physical activity alleviates negative effects of bedroom light pollution on blood pressure and hypertension in Chinese young adults. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120117. [PMID: 36087897 DOI: 10.1016/j.envpol.2022.120117] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Accepted: 09/02/2022] [Indexed: 06/15/2023]
Abstract
Excessive exposure to light at night (LAN) has become a serious public health concern. However, little is known about the impact of indoor LAN exposure on blood pressure, particularly among young adults. We aimed to investigate the effects of bedroom individual-level LAN exposure in real-world environment on blood pressure and hypertension among vulnerable young adults, and to evaluate the possible buffering effect of physical activity. In this cross-sectional study, a total of 400 healthy young adults aged 16-22 years were included. Bedroom LAN exposure was recorded at 1-min intervals for two consecutive nights using a TES-1339 R illuminance meter. Blood pressure was measured three times (8-11 a.m. in the physical examination day) in the seated position using an Omron HEM-7121 digital sphygmomanometer. A wrist-worn triaxial accelerometer (ActiGraph GT3X-BT) was used to assess physical activity for seven consecutive days. Each 1 lx increase of bedroom LAN intensity was associated with 0.55 mmHg-increase in SBP (95% CI: 0.15, 0.95), 0.30 mmHg-increase in DBP (95% CI: 0.06, 0.54), and 0.38 mmHg-increase in MAP (95% CI: 0.12, 0.65). Higher levels of LAN exposure were associated with increased risk of hypertension (LAN ≥ 3lx vs. LAN < 3lx: OR = 3.30, 95%CI = 1.19-9.19; LAN ≥ 5lx vs. LAN < 5lx: OR = 3.87, 95%CI = 1.37-10.98). However, these detrimental effects of bedroom LAN exposure on blood pressure and hypertension were not observed among young adults with high MVPA (≥2 h/day) level. MVPA can alleviate negative effects of bedroom LAN exposure on blood pressure and hypertension. Maintaining bedroom settings darkness at night may be an important strategy for reducing the risk of hypertension. Furthermore, for individuals living with high levels of indoor LAN exposure, regular physical activity may be a good option for preventing cardiovascular disease and hypertension.
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Affiliation(s)
- Yu-Xiang Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yi Zhou
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yan Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yang Yu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jing-Ya Li
- School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Wen-Juan Huang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Yu-Hui Wan
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Fang-Biao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China
| | - Ying Sun
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), Ministry of Education of the People's Republic of China, No 81 Meishan Road, Hefei, 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No 81 Meishan Road, Hefei, 230032, Anhui, China.
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