|
1
|
Zhang B, Hart JE, Laden F, Bozigar M, James P. Environmental mixtures and body mass index in two prospective US-based cohorts of female nurses. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135794. [PMID: 39265401 DOI: 10.1016/j.jhazmat.2024.135794] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 08/23/2024] [Accepted: 09/08/2024] [Indexed: 09/14/2024]
Abstract
We estimated the joint effect of particulate matter ≤ 2.5 µm in diameter (PM2.5), nitrogen dioxide (NO2), seasonal temperature, noise, greenness, light at night, and neighborhood socioeconomic status (NSES) on body mass index (BMI) in a mixture context among 194,966 participants from the Nurses' Health Study (NHS) and Nurses' Health Study II (NHSII) over 30 years. BMI was calculated from self-reported weight and height. Single- and multi-exposure generalized estimating equations models were used to estimate the difference in BMI per interquartile range (IQR) increase of environmental factors, and quantile g-computation methods were used to estimate joint associations. In both cohorts, we consistently observed positive associations of BMI with PM2.5 and NO2 concentrations as well as negative associations with light at night and NSES regardless modeling approach. A positive association with noise was only observed in NHS. Negative associations with greenness and winter temperature were only observed in NHSII. Overall, the changes in BMI per quintile increase in all eight exposures were -0.11 (-0.13, -0.08) in NHS and -0.39 (-0.41, -0.37) in NHSII, which were largely driven by air pollution and nighttime noise (18-45 %) in the positive direction and NSES (>70 %) in the negative direction. Future intervention on environmental factors, especially reducing PM2.5, NO2 and noise or improving the NSES, might be helpful to lower BMI.
Collapse
Affiliation(s)
- Boya Zhang
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.
| | - Jaime E Hart
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA
| | - Francine Laden
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Matthew Bozigar
- School of Nutrition and Public Health, College of Health, Oregon State University, 160 SW 26th Street, Corvallis, OR 97331, USA
| | - Peter James
- Department of Environmental Health, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Division of Chronic Disease Research Across the Lifecourse, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA
| |
Collapse
|
|
2
|
Yuan C, Dong Y, Chen H, Ma L, Jia L, Luo J, Liu Q, Hu Y, Ma J, Song Y. Determinants of childhood obesity in China. Lancet Public Health 2024; 9:e1105-e1114. [PMID: 39579777 DOI: 10.1016/s2468-2667(24)00246-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2024] [Revised: 09/11/2024] [Accepted: 10/11/2024] [Indexed: 11/25/2024]
Abstract
Over the past four decades, China has witnessed an important nutritional transition, characterised by a heightened overnutrition burden among children. The country now has the largest population of children with obesity globally. In this paper, we review the epidemiology of childhood obesity in China, its determinants, and risk factors, with a particular focus on school-aged children. Evidence unveils substantial variations across age, gender, and region. We describe multilevel obesogenic determinants, including macro-level social, cultural, and environmental factors; meso-level factors related to schools and communities; and micro-level factors tied to families and individuals from the perinatal-infant stage to childhood and adolescence. The primary drivers of childhood obesity appear to be rooted in the broader macro-level social, economic, and technological environment; obesogenic factors, which have affected school, community, and family environments; and accelerated unhealthy behaviour uptake. Identifying and characterising the catalysts behind the rise in childhood obesity in China is imperative for the development of scalable, effective, and tailored prevention, control, and intervention strategies.
Collapse
Affiliation(s)
- Changzheng Yuan
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Yanhui Dong
- Institute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China
| | - Hui Chen
- School of Public Health, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University, Xi'an, China
| | - Lihong Jia
- School of Public Health, China Medical University, Shenyang, China
| | - Jiayou Luo
- Xiangya School of Public Health, Central South University, Changsha, China
| | - Qin Liu
- School of Public Health, Chongqing Medical University, Chongqing, China
| | - Yifei Hu
- School of Public Health, Capital Medical University, Beijing, China
| | - Jun Ma
- Institute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
| | - Yi Song
- Institute of Child and Adolescent Health, School of Public Health, Peking University and National Health Commission Key Laboratory of Reproductive Health, Beijing, China.
| |
Collapse
|
|
3
|
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.
Collapse
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.)
| |
Collapse
|
|
4
|
Dugandzic R, Konstantelos N, Yu Y, Lavigne E, Srugo S, Lang JJ, Larsen K, Pollock T, Villeneuve P, Thomson EM, MacPherson M, Dales R, Cakmak S. Associations between paediatric obesity, chemical mixtures and environmental factors, in a national cross-sectional study of Canadian children. Pediatr Obes 2024; 19:e13117. [PMID: 38872449 DOI: 10.1111/ijpo.13117] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 12/19/2023] [Accepted: 02/19/2024] [Indexed: 06/15/2024]
Abstract
BACKGROUND Whilst single chemical exposures are suspected to be obesogenic, the combined role of chemical mixtures in paediatric obesity is not well understood. OBJECTIVES We aimed to evaluate the potential associations between chemical mixtures and obesity in a population-based sample of Canadian children. METHODS We ascertained biomonitoring and health data for children aged 3-11 from the cross-sectional Canadian Health Measures Survey from 2007 to 2019. Several chemicals of interest were measured in blood or urine and paediatric obesity was defined based on measured anthropometrics. Using quantile-based G computational analysis, we quantified the effects of three chemical mixtures selected a priori. Models were adjusted for sociodemographic and environmental factors identified through a directed acyclic graph. Results are presented through adjusted relative risks (RR) with 95% confidence intervals (95% CI). RESULTS We included 9147 children. Of these, 24.1% were overweight or obese. Exposure to the mixture of bisphenol A, acrylamide, glycidamide, metals, parabens and arsenic increased the risk of childhood overweight or obesity by 45% (95% CI 1.09, 1.93), obesity by 109% (95% CI 1.27, 3.42) and central obesity by 82% (95% CI 1.30, 2.56). CONCLUSIONS Our findings support the role of early childhood chemical exposures in paediatric obesity and the potential combined effects of chemicals.
Collapse
Affiliation(s)
- Rose Dugandzic
- Office of Environmental Health, Health Canada, Ottawa, Ontario, Canada
| | - Natalia Konstantelos
- Office of Environmental Health, Health Canada, Ottawa, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
| | - Yamei Yu
- Office of Environmental Health, Health Canada, Ottawa, Ontario, Canada
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
| | - Eric Lavigne
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Sebastian Srugo
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
| | - Justin J Lang
- School of Epidemiology and Public Health, University of Ottawa, Ottawa, Ontario, Canada
- Centre for Surveillance and Applied Research, Public Health Agency of Canada, Ottawa, Ontario, Canada
- Alliance for Research in Exercise, Nutrition and Activity (ARENA), University of South Australia, Adelaide, South Australia, Australia
- Healthy Active Living and Obesity Research Group, Children's Hospital of Eastern Ontario Research Institute, Ottawa, Ontario, Canada
| | - Kristian Larsen
- Office of Environmental Health, Health Canada, Ottawa, Ontario, Canada
- Department of Public Health Sciences, Queen's University, Kingston, Ontario, Canada
- Department of Geography and Planning, University of Toronto, Toronto, Ontario, Canada
- Department of Geography and Environmental Studies, Toronto Metropolitan University, Toronto, Ontario, Canada
| | - Tyler Pollock
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| | - Paul Villeneuve
- School of Mathematics and Statistics, Carleton University, Ottawa, Ontario, Canada
| | - Errol M Thomson
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
| | | | - Robert Dales
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
- Department of Biochemistry, Microbiology and Immunology, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada
- Ottawa Hospital Research Institute, University of Ottawa, Ottawa, Ontario, Canada
| | - Sabit Cakmak
- Environmental Health Science and Research Bureau, Health Canada, Ottawa, Ontario, Canada
| |
Collapse
|
|
5
|
Mao B, Luo C, Li S, Zhang J, Xiang W, Yang YD. Exposure to light at night (LAN) and risk of overweight/obesity, hypertension, and diabetes: a systematic review and meta-analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL HEALTH RESEARCH 2024:1-15. [PMID: 39011976 DOI: 10.1080/09603123.2024.2378941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Accepted: 07/08/2024] [Indexed: 07/17/2024]
Abstract
Current studies have presented conflicting findings regarding the associations between light at night (LAN) exposure and the risk of overweight/obesity, hypertension, and diabetes. Our study systematically summarized the evidence of the association between LAN exposure and the risk of overweight/obesity, hypertension, and diabetes. We searched five databases (PubMed, Web of Science, Embase, Scopus, and Cochrane) for observational studies published up to 1 August 2023. The pooled odds ratio (ORs) and 95% confidence intervals (CIs) were estimated by random-effects models for the association. Eighteen studies were included in the meta-analysis. Compared with the group with the lowest level of LAN, the group with the highest level of LAN is associated with an increased risk of overweight/obesity (pooled OR = 1.19, 95%CI: 1.13-1.26), hypertension (pooled OR: 1.86, 95% CI:1.28-2.72), and diabetes (pooled OR = 1.21, 95%CI: 1.07-1.31). Our meta-analysis demonstrated LAN exposure is associated with increased risk of overweight/obesity, hypertension, and diabetes.
Collapse
Affiliation(s)
- Bin Mao
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Chuhong Luo
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Shengnan Li
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Jixin Zhang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Wanyun Xiang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| | - Yi-de Yang
- Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, China
| |
Collapse
|
|
6
|
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.
Collapse
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
| |
Collapse
|
|
7
|
Zhang L, Wang H, Zu P, Li X, Ma S, Zhu Y, Xie T, Tao F, Zhu DM, Zhu P. Association between exposure to outdoor artificial light at night during pregnancy and glucose homeostasis: A prospective cohort study. ENVIRONMENTAL RESEARCH 2024; 247:118178. [PMID: 38220082 DOI: 10.1016/j.envres.2024.118178] [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: 11/12/2023] [Revised: 12/26/2023] [Accepted: 01/09/2024] [Indexed: 01/16/2024]
Abstract
BACKGROUND Outdoor artificial light at night (ALAN) has been linked to an elevated risk of diabetes, but the available literature on the relationships between ALAN and glucose homeostasis in pregnancy is limited. METHODS A prospective cohort study of 6730 pregnant women was conducted in Hefei, China. Outdoor ALAN exposure was estimated using satellite data with individual addresses at a spatial resolution of approximately 1 km, and the average ALAN intensity was calculated. Gestational diabetes mellitus (GDM) was diagnosed based on a standard 75-g oral glucose tolerance test. Multivariable linear regression and logistic regression were used to estimate the relationships between ALAN and glucose homeostasis. RESULTS Outdoor ALAN was associated with elevated glucose homeostasis markers in the first trimester, but not GDM risk. An increase in the interquartile range of outdoor ALAN values was related to a 0.02 (95% confidence interval [CI]: 0.00, 0.03) mmol/L higher fasting plasma glucose, a 0.42 (95% CI: 0.30, 0.54) μU/mL increase in insulin and a 0.09 (95% CI: 0.07, 0.12) increase in homeostatic model assessment of insulin resistance (HOMA-IR) during the first trimester. Subgroup analyses showed that the associations between outdoor ALAN exposure and fasting plasma glucose, insulin, and HOMA-IR were more pronounced among pregnant women who conceived in summer and autumn. CONCLUSIONS The results provided evidence that brighter outdoor ALAN in the first trimester was related to elevated glucose intolerance in pregnancy, especially in pregnant women conceived in summer and autumn, and effective strategies are needed to prevent and manage light pollution.
Collapse
Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Ping Zu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Xinyu Li
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | | | - Yuanyuan Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Tianqin Xie
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China
| | - Fangbiao Tao
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China
| | - Dao-Min Zhu
- School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, China; Department of Sleep Disorders, Affiliated Psychological Hospital of Anhui Medical University, Hefei, China; Hefei Fourth People's Hospital, Hefei, China; Anhui Mental Health Center, Hefei, China.
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Center for Big Data and Population Health of IHM, Anhui Medical University, Hefei, China; Anhui Provincial Key Laboratory of Environment and Population Health across the Life Course, Anhui Medical University, Hefei, China.
| |
Collapse
|
|
8
|
Liao J, Yu C, Cai J, Tian R, Li X, Wang H, Li L, Song G, Fu L, Li X, Ge Q, Zhang L, Liu Z, Xiao C. The association between artificial light at night and gestational diabetes mellitus: A prospective cohort study from China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 919:170849. [PMID: 38350570 DOI: 10.1016/j.scitotenv.2024.170849] [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: 09/20/2023] [Revised: 02/03/2024] [Accepted: 02/07/2024] [Indexed: 02/15/2024]
Abstract
BACKGROUND Emerging evidence suggests that exposure to outdoor artificial light at night (ALAN) may be associated with diabetes. However, limited research explores the relationship between outdoor ALAN and gestational diabetes mellitus (GDM). METHODS We utilized data from a multilevel infant and early life cohort study conducted in Sichuan Province, China, between February 2018 and April 2021. A total of 9,120 participants were included in the final analysis. Outdoor ALAN exposure at participants' residential locations was estimated using time-varying satellite data, focusing on persistent night-time illumination at a scale of approximately 500x500m. The information about GDM was obtained from medical records. After adjusting for potential confounders, multivariable logistic regression models and restricted cubic splines were employed to estimate the association between ALAN exposure during pregnancy and GDM. RESULTS Among the total recruitments, 1,484 (16.27%) women were diagnosed with GDM. Compared to women without GDM, those with GDM had a significantly higher mean outdoor ALAN exposure during pregnancy (18.98 nW/cm2/sr1 vs 24.28 nW/cm2/sr1, P < 0.001). Results from multivariable logistic models showed that higher outdoor ALAN exposure during pregnancy could increase the risk of GDM (OR (95% CI) 1st+2nd trimesters ALAN = 1.253 (1.157-1.356)). Meanwhile, results from the restricted cubic spline further indicated a non-linear association between outdoor ALAN exposure during pregnancy and GDM. Generally, with the radiance of the first two trimesters of ALAN increasing to about 17.9 nW/cm2/sr1, outdoor ALAN exposure became a risk factor for GDM. However, when the radiance of ALAN reached about 40.7 nW/cm2/sr1, the continued increasing OR estimation (OR (95% CI) = 1.489 (1.223-1.814)) of outdoor ALAN changed to steady. CONCLUSION Our findings suggested that high levels of outdoor ALAN exposure during pregnancy can be associated with an increased risk of GDM, and a non-linear relationship pattern might exist. These findings substantially augment existing evidence, positing outdoor ALAN as an emergent, modifiable risk factor for GDM.
Collapse
Affiliation(s)
- Junhao Liao
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Chuan Yu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Jiarui Cai
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Run Tian
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Xingyue Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Hong Wang
- Department of Child Health, Sichuan Provincial Maternal and Child Health Care Hospital, China
| | - Lin Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China
| | - Guishuang Song
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Leyao Fu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Xinxi Li
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Qiaoyue Ge
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University
| | - Ling Zhang
- Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China; Med-X center for Materials, College of Polymer Science and Engineering, Sichuan University, Chengdu 610065, China
| | - Zhenmi Liu
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
| | - Chenghan Xiao
- Department of Maternal and Child Health, West China School of Public Health and West China Fourth Hospital, Sichuan University; Institute of Systems Epidemiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu 610041, China.
| |
Collapse
|
|
9
|
Sun Q, Liu J, Yang Y, Chen Y, Liu D, Ye F, Dong B, Zhang Q. Association of residential land cover and wheezing among children and adolescents: A cross-sectional study in five provinces of China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 343:123191. [PMID: 38135141 DOI: 10.1016/j.envpol.2023.123191] [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: 07/07/2023] [Revised: 12/11/2023] [Accepted: 12/17/2023] [Indexed: 12/24/2023]
Abstract
The association between residential land cover (RLC) and wheezing remains poorly understood. This study aimed to investigate the association between RLC and wheezing in childhood and adolescence. A cross-sectional survey was conducted among children and adolescents in five provinces of China. Land cover data were obtained from the Cross-Resolution Land-Cover mapping framework based on noisy label learning, classifying land cover into five categories: cropland, forest, grass/shrubland, wetland, and impervious. Generalized linear mixed models were employed to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the risk of wheezing. Mediation analysis was employed to investigate whether ambient particulate matter (PM2.5) acts as a mediator in the association between RLC and wheezing. A total of 12,875 participants were included in the study, comprising 318 patients and 12,557 controls. Cropland500m was significantly associated with decreased odds of wheezing (OR: 0.929, 95% CI: 0.879-0.982), while impervious surfaces500m significantly was associated with increased odds of wheezing (OR: 1.056, 95% CI: 1.019-1.096) in all participants. In the stratified analysis, significant differences were found in the main outcomes between the adolescence group (age ≥10 years) and the childhood group (age <10 years) (Pinteraction < 0.05), while no significant differences were observed between the southern and northern regions, or between male and female respondents. Mediation analysis revealed that PM2.5 partially mediated the association between cropland500m and impervious surfaces500m with wheezing. RLC plays a significant role in wheezing during childhood and adolescence, with cropland offering protection and impervious surfaces posing a heightened risk.
Collapse
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
| | - 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
| | - 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
| | - 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
| | - 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
| | - Bin Dong
- Institute of Child and Adolescent Health of Peking University, School of Public Health, Peking University Health Science Center, 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.
| |
Collapse
|
|
10
|
Xu YX, Zhang JH, Ding WQ. Association of light at night with cardiometabolic disease: A systematic review and meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 342:123130. [PMID: 38081378 DOI: 10.1016/j.envpol.2023.123130] [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: 09/14/2023] [Revised: 11/16/2023] [Accepted: 12/07/2023] [Indexed: 01/26/2024]
Abstract
Light at night (LAN) is a significant but underappreciated risk factor contributing to cardiometabolic disease (CMD). We therefore conducted the review examining the relationship of LAN exposure with CMD in order to investigate the effects of LAN exposure on CMD. We searched PubMed, Web of Science, Embase, and Scopus for eligible studies published from database inception to August 17, 2023. The pooled effect size was calculated using random-effects models. Heterogeneity among the studies was quantified by Cochran's Q test and I2 statistic. A total of 1,019,739 participants from 14 studies (5 cohort studies and 9 cross-sectional) were included. Among the 14 eligible studies, 9 on obesity, 4 on diabetes, 2 on hypertension, 1 on dyslipidemia, and 1 on coronary heart disease. Exposure to higher levels of LAN were associated with 21% higher risk of CMD (Summary risk ratio, SRR: 1.21, 95% CI = 1.16-1.27), accompanied by substantial heterogeneity (I2 = 61%; tau2 = 0.004; Cochran's Q = 41.02). Specifically, individuals in the highest category of LAN exposure exhibited 23% higher risk of obesity (SRR: 1.23, 95% CI = 1.14-1.32), 46% higher risk of diabetes (SRR: 1.46, 95% CI = 1.05-2.03) and 21% higher risk of other CMDs (SRR: 1.21, 95% CI = 1.10-1.34). Subgroup analyses revealed that the pooled-effect size of LAN and CMD was higher for indoor LAN than outdoor LAN (indoor LAN: SRR = 1.36; outdoor LAN: SRR = 1.17, P = 0.03). The overall quality was rated as moderate using GRADE guideline. Our study strengthens the evidence on the increase in CMD risk due to LAN exposure. Findings from this study have important implications for identifying modifiable risk factor of CMD, future prevention strategy development, and resource allocation for high-risk group.
Collapse
Affiliation(s)
- Yu-Xiang Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui, China.
| | - Jiang-Hui Zhang
- Department of Medical Statistics, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Wen-Qin Ding
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Hefei, Anhui, China
| |
Collapse
|
|
11
|
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.
Collapse
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
| |
Collapse
|
|
12
|
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.
Collapse
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
| |
Collapse
|
|
13
|
Yi W, Wang W, Xu Z, Liu L, Wei N, Pan R, Song R, Li X, Liu J, Yuan J, Song J, Cheng J, Huang Y, Su H. Association of outdoor artificial light at night with metabolic syndrome and the modifying effect of tree and grass cover. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 264:115452. [PMID: 37696078 DOI: 10.1016/j.ecoenv.2023.115452] [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: 06/14/2023] [Revised: 09/05/2023] [Accepted: 09/05/2023] [Indexed: 09/13/2023]
Abstract
BACKGROUND Epidemiological studies show that outdoor artificial light at night (ALAN) is linked to metabolic hazards, but its association with metabolic syndrome (MetS) remains unclear. We aimed to investigate the association of outdoor ALAN with MetS in middle-aged and elderly Chinese. METHODS From 2017-2020, we conducted a cross-sectional study in a total of 109,452 participants living in ten cities of eastern China. MetS was defined by fasting blood glucose (FG), triglyceride (TG), high-density lipoprotein cholesterol (HDL-C), blood pressure (BP), and waist circumference (WC). In 2021, we followed up 4395 participants without MetS at the baseline. Each participant's five-year average exposure to outdoor ALAN, as well as their exposure to green space type, were measured through matching to their address. Generalized linear models were used to assess the associations of outdoor ALAN with MetS. Stratified analyses were performed by sex, age, region, physical activity, and exposure to green space. RESULTS In the cross-sectional study, compared to the first quantile (Q1) of outdoor ALAN exposure, the odds ratios (ORs) of MetS were 1.156 [95 % confidence interval (CI): 1.111-1.203] and 1.073 (95 %CI: 1.021-1.128) respectively in the third and fourth quantiles (Q3, Q4) of outdoor ALAN exposure. The follow-up study found that, compared to the first quantile (Q1) of outdoor ALAN exposure, the OR of MetS in Q4 of ALAN exposure was 1.204 (95 %CI: 1.019-1.422). Adverse associations of ALAN with MetS components, including high FG, high TG, and obesity, were also found. Greater associations of ALAN with MetS were found in males, the elderly, urban residents, those with low frequency of physical activity, and those living in areas with low levels of grass cover and tree cover. CONCLUSIONS Outdoor ALAN exposure is associated with an increased MetS risk, especially in males, the elderly, urban residents, those lacking physical activity, and those living in lower levels of grass cover and tree cover.
Collapse
Affiliation(s)
- Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China; School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Weiqiang Wang
- Suzhou Hospital of Anhui Medical University, China; Suzhou Municipal Hospital of Anhui Province, China
| | - Zhiwei Xu
- School of Medicine and Dentistry, Griffith University, Gold Coast, Queensland, Australia
| | - Li Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Ning Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Rong Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Xuanxuan Li
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jintao Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jiajun Yuan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jian Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Jian Cheng
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China
| | - Yuee Huang
- School of Public Health, Wannan Medical College, Wuhu, Anhui, China.
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui, China; Inflammation and Immune Mediated Diseases Laboratory of Anhui Province, China.
| |
Collapse
|
|
14
|
Badpa M, Schneider A, Ziegler AG, Winkler C, Haupt F, Wolf K, Peters A. Outdoor Light at Night and Children's Body Mass: A Cross-Sectional Analysis in the Fr1da Study. ENVIRONMENTAL RESEARCH 2023; 232:116325. [PMID: 37271437 DOI: 10.1016/j.envres.2023.116325] [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: 03/02/2023] [Revised: 05/10/2023] [Accepted: 06/02/2023] [Indexed: 06/06/2023]
Abstract
BACKGROUND Emerging evidence supports an association between light at night (LAN) exposure with obesity or overweight in adults. However, effects of LAN exposure during childhood have yet to be further investigated. OBJECTIVE In this study, we aimed to determine whether LAN exposure is associated with body mass in young children. RESEARCH DESIGN AND METHOD We used data from the Fr1da cohort study which screened children for early-stage islet autoimmunity in Bavaria, Germany from February 2015 to March 2019. A total of 62,212 children aged <11 years with complete residential information was included in the analysis. Self-reported weight and height were used to calculate age- and sex-specific body mass index (BMI) z-scores. LAN exposure was based on remotely sensed images from Visible Infrared Imaging Radiometer Suite and assigned to the children's residencies. We used generalized additive models to estimate the associations between LAN exposure and BMI adjusting for potential confounders. RESULTS We observed an increase in BMI z-scores of 34.0% (95% confidence interval (CI): 25.4-42.6) per 10 nW/cm2/sr increment in LAN exposure at baseline (2015) and of 32.6% (24.3-41.0) for LAN exposure one year prior to screening, both adjusted for age and sex. Similar associations were observed after adjustment for socioeconomic status and urbanization degree. CONCLUSION Our findings suggest that outdoor light exposure may be a risk factor for weight gain during childhood.
Collapse
Affiliation(s)
- Mahnaz Badpa
- Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany; Institute for Medical Information Processing, Biometry and Epidemiology (IBE), Faculty of Medicine, Pettenkofer School of Public Health, LMU Munich, Munich, Germany; German Center for Diabetes Research (DZD), Munich, Germany.
| | | | - Anette-Gabriele Ziegler
- German Center for Diabetes Research (DZD), Munich, Germany; Institute for Diabetes Research, Helmholtz Munich-German Research Center for Environmental Health, Neuherberg, Germany; Chair of Diabetes and Gestational Diabetes, Forschergruppe Diabetes, Faculty of Medicine, Technical University Munich at Klinikum Rechts der Isar, Munich, Germany
| | - Christiane Winkler
- German Center for Diabetes Research (DZD), Munich, Germany; Institute for Diabetes Research, Helmholtz Munich-German Research Center for Environmental Health, Neuherberg, Germany
| | - Florian Haupt
- German Center for Diabetes Research (DZD), Munich, Germany; Institute for Diabetes Research, Helmholtz Munich-German Research Center for Environmental Health, Neuherberg, Germany
| | - Kathrin Wolf
- Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Zentrum München, Munich, Germany; German Center for Diabetes Research (DZD), Munich, Germany; Chair of Epidemiology, Faculty of Medicine, LMU Munich, Munich, Germany; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
|
15
|
Zhang HZ, Wang DS, Wu SH, Huang GF, Chen DH, Ma HM, Zhang YT, Guo LH, Lin LZ, Gui ZH, Liu RQ, Hu LW, Yang JW, Zhang WJ, Dong GH. The association between childhood adiposity in northeast China and anthropogenic heat flux: A new insight into the comprehensive impact of human activities. Int J Hyg Environ Health 2023; 254:114258. [PMID: 37703624 DOI: 10.1016/j.ijheh.2023.114258] [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: 06/12/2023] [Revised: 08/13/2023] [Accepted: 09/06/2023] [Indexed: 09/15/2023]
Abstract
Anthropogenic heat has been reported to have significant health impacts, but research on its association with childhood adiposity is still lacking. In this study, we matched the 2008-2012 average anthropogenic heat flux, as simulated by a grid estimation model using inventory methods, with questionnaire and measurement data of 49,938 children randomly recruited from seven cities in Northeast China in 2012. After adjusting for social demographic and behavioral factors, we used generalized linear mixed-effect models to assess the association between anthropogenic heat flux and adiposity among children. We also examined the effect modification of various social demographic and behavioral confounders. We found that each 10 W/m2 increase in total anthropogenic heat flux and that from the industry source was associated with an increase of 5.82% (95% CI = 0.84%-11.05%) and 6.62% (95% CI = 0.87%-12.70%) in the odds of childhood adiposity. Similarly, the excess rate of adiposity among children were 5.26% (95% CI = -1.33%-12.29%) and 8.51% (95% CI = 2.24%-15.17%) per 1 W/m2 increase in the anthropogenic heat flux from transportation and buildings, and was 7.94% (95% CI = 2.28%-13.91%) per 0.001 W/m2 increase in the anthropogenic heat flux from human metabolism. We also found generally greater effect estimates among female children and children who were exposed to passive smoking during pregnancy, born by caesarean section, non-breastfed/mixed-fed, or lived within 20 m adjacent to the main road. The potential deleterious effect of anthropogenic heat exposure on adiposity among children may make it a new but major threat to be targeted by future mitigation strategies.
Collapse
Affiliation(s)
- Hong-Zhi 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, 510080, China
| | - Dao-Sen 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, 510080, China
| | - Si-Han Wu
- 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
| | - Guo-Feng Huang
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Duo-Hong Chen
- Department of Air Quality Forecasting and Early Warning, Guangdong Environmental Monitoring Center, State Environmental Protection Key Laboratory of Regional Air Quality Monitoring, Guangdong Environmental Protection Key Laboratory of Atmospheric Secondary Pollution, Guangzhou, 510308, China
| | - Hui-Min Ma
- State Key Laboratory of Organic Geochemistry and Guangdong Key Laboratory of Environmental Protection and Resources Utilization, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Yun-Ting 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, 510080, China
| | - Li-Hao Guo
- 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
- 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
- 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
- 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
- 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
| | - Jie-Wen Yang
- Guangzhou Social Welfare Institution, Guangzhou, 510520, China.
| | - Wang-Jian Zhang
- Department of Biostatistics, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, 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, 510080, China.
| |
Collapse
|
|
16
|
Zhang L, Yin W, Yu W, Wang P, Wang H, Zhang X, Zhu P. Environmental exposure to outdoor artificial light at night during pregnancy and fetal size: A prospective cohort study. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 883:163521. [PMID: 37062314 DOI: 10.1016/j.scitotenv.2023.163521] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2022] [Revised: 04/05/2023] [Accepted: 04/11/2023] [Indexed: 06/03/2023]
Abstract
BACKGROUND Previous studies suggested outdoor artificial light at night (ALAN) exposure may contribute to children and adult obesity, but less is known about the associations of outdoor ALAN exposure during pregnancy with fetal size. METHODS From 2015 to 2021, 6210 mother-child pairs were included. Average outdoor ALAN levels during pregnancy were measured using satellite imaging data. Fetal biparietal diameter, head circumference, abdominal circumference (AC), and femur length were measured before delivery with ultrasonography. We also collected anthropometric birth outcomes, including birth length, birth weight, macrosomia, low birth weight, small for gestational age, and large for gestational age at delivery. Multivariable linear regression models and binary logistic regression models were used to examine the potential associations of outdoor ALAN with fetal size adjusting for a broad set of potential confounds. RESULTS An IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.30 (β = 1.30, 95 % CI: 0.31,2.29) higher AC percentiles and 13 % (OR = 1.13, 95 % CI: 1.00,1.27) higher odds of macrosomia after adjusting confounders. In sex stratification analysis, an IQR (14.87 nW/cm2/sr) increase in outdoor ALAN during pregnancy was associated with 1.65 (β = 1.65, 95 % CI: 0.24,3.06) higher fetal AC percentiles and 27 % (OR = 1.27, 95 % CI: 1.06,1.53) higher odds of macrosomia in females. CONCLUSIONS Our findings suggest that higher outdoor ALAN exposure during pregnancy is associated with larger fetal AC and a higher risk of macrosomia, particularly in the female fetus. Future studies are needed to verify these preliminary findings and identify potential mechanisms for the association.
Collapse
Affiliation(s)
- Lei Zhang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Wanjun Yin
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Wenjie Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Peng Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Haixia Wang
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China
| | - Xiujun Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, 81 Meishan Road, Hefei 230032, China
| | - Peng Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, China; MOE Key Laboratory of Population Health Across Life Cycle, Hefei, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, Hefei, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, Hefei, China.
| |
Collapse
|
|
17
|
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: 18] [Impact Index Per Article: 9.0] [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.
Collapse
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.
| |
Collapse
|
|
18
|
Grant AD, Kriegsfeld LJ. Continuous body temperature as a window into adolescent development. Dev Cogn Neurosci 2023; 60:101221. [PMID: 36821877 PMCID: PMC9981811 DOI: 10.1016/j.dcn.2023.101221] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2022] [Revised: 01/06/2023] [Accepted: 02/18/2023] [Indexed: 02/22/2023] Open
Abstract
Continuous body temperature is a rich source of information on hormonal status, biological rhythms, and metabolism, all of which undergo stereotyped change across adolescence. Due to the direct actions of these dynamic systems on body temperature regulation, continuous temperature may be uniquely suited to monitoring adolescent development and the impacts of exogenous reproductive hormones or peptides (e.g., hormonal contraception, puberty blockers, gender affirming hormone treatment). This mini-review outlines how traditional methods for monitoring the timing and tempo of puberty may be augmented by markers derived from continuous body temperature. These features may provide greater temporal precision, scalability, and reduce reliance on self-report, particularly in females. Continuous body temperature data can now be gathered with ease across a variety of wearable form factors, providing the opportunity to develop tools that aid in individual, parental, clinical, and researcher awareness and education.
Collapse
Affiliation(s)
- Azure D Grant
- Levels Health, Inc., New York City, NY 10003, United States
| | - Lance J Kriegsfeld
- Department of Psychology, University of California, Berkeley, CA 94720, United States; Department of Integrative Biology, University of California, Berkeley, CA 94720, United States; Graduate Group in Endocrinology, University of California, Berkeley, CA 94720, United States; The Helen Wills Neuroscience Institute, University of California, Berkeley, CA 94720, United States.
| |
Collapse
|
|
19
|
Yang C, Wang W, Liang Z, Wang Y, Chen R, Liang C, Wang F, Li P, Ma L, Wei F, Li S, Zhang L. Regional urbanicity levels modify the association between ambient air pollution and prevalence of obesity: A nationwide cross-sectional survey. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 320:121079. [PMID: 36640521 DOI: 10.1016/j.envpol.2023.121079] [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: 04/18/2022] [Revised: 01/10/2023] [Accepted: 01/11/2023] [Indexed: 06/17/2023]
Abstract
Ambient air pollution exposure may increase the risk of obesity, but the population susceptibility associated with urbanicity has been insufficiently investigated. Based on a nationwide representative cross-sectional survey on 44,544 adults, high-resolution night light satellite remote sensing products, and multi-source ambient air pollution inversion data, the present study evaluated the associations of fine particulate matter (PM2.5) and nitrogen dioxide (NO2) concentrations with the prevalence of obesity and abdominal obesity. We further calculated the associations in regions with different urbanicity levels characterized by both administrative classification of urban/rural regions and night light index (NLI). We found that 10 μg/m3 increments in PM2.5 at 1-year moving average and in NO2 at 5-year moving average were associated with increased prevalence of obesity [odds ratios (OR) = 1.16 (1.14, 1.19); 1.12 (1.09, 1.15), respectively] and abdominal obesity [OR = 1.08 (1.07, 1.10); 1.07 (1.05, 1.09), respectively]. People in rural regions experienced stronger adverse effects than those in urban regions. For instance, a 10 μg/m3 increment in PM2.5 was associated with stronger odds of obesity in rural regions than in urban regions [OR = 1.27 (1.23, 1.31) vs 1.10 (1.05, 1.14), P for interaction <0.001]. In addition, lower NLI values were associated with constantly amplified associations of PM2.5 and NO2 with obesity and abdominal obesity (all P for interaction <0.001). In summary, people in less urbanized regions are more susceptible to the adverse effects of ambient air pollution on obesity, suggesting the significance of collaborative planning of urbanization development and air pollution control, especially in less urbanized regions.
Collapse
Affiliation(s)
- Chao Yang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Wanzhou Wang
- Department of Occupational and Environmental Health Sciences, School of Public Health, Peking University, Beijing, 100191, China
| | - Ze Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Yueyao Wang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Rui Chen
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China; Research Units of Diagnosis and Treatment of Immune-Mediated Kidney Diseases, Chinese Academy of Medical Sciences, Beijing, 100034, China
| | - Chenyu Liang
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Fulin Wang
- National Institute of Health Data Science at Peking University, Beijing, 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing, 100191, China; Peking University First Hospital, Beijing, 100034, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China
| | - Lin Ma
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Feili Wei
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Shuangcheng Li
- Key Laboratory for Earth Surface Processes of the Ministry of Education, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China
| | - Luxia Zhang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing, 100034, China; Advanced Institute of Information Technology, Peking University, Hangzhou, 311215, China; National Institute of Health Data Science at Peking University, Beijing, 100191, China.
| |
Collapse
|
|
20
|
Bożejko M, Tarski I, Małodobra-Mazur M. Outdoor artificial light at night and human health: A review of epidemiological studies. ENVIRONMENTAL RESEARCH 2023; 218:115049. [PMID: 36521545 DOI: 10.1016/j.envres.2022.115049] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 11/24/2022] [Accepted: 12/10/2022] [Indexed: 06/17/2023]
Abstract
We conducted a non-systematic review of epidemiological studies on a potential link between exposure to outdoor artificial light at night (O-ALAN) and disease occurrence in humans published since 2009. In recent years, a number of presses have been published on this issue, but the conclusions have been mixed. We therefore decided to critically analyze the available epidemiological evidence of such a correlation. After a careful search, 51 studies were identified and included in the review. They addressed the potential link between O-ALAN exposure and the incidence of breast cancer, other cancers, sleep and circadian rhythm disorders, obesity and cardiovascular diseases, mental disorders, infectious diseases, and complications during pregnancy and childbirth. The vast majority of papers revealed the existence of such a link. However, the amount of epidemiological evidence supporting the correlation across groups of disorders varied widely. In addition, we found that all papers contained at least one of the following omissions: lack of the temporal and spatial resolution in light at night measurements, measuring only light intensity without considering its wavelength, and not accounting for many important confounding factors in their statistical analyses. Therefore, we believe that the link between O-ALAN exposure and the occurrence of the disorders in question suggested by the authors of the reviewed papers may be in some cases at least to some extent, a coincidence. Further epidemiological studies, free of significant omissions highlighted in this paper, are needed.
Collapse
Affiliation(s)
- Mateusz Bożejko
- Faculty of Medicine, Wroclaw Medical University, Mikulicza-Radeckiego 5, 50-345, Wrocław, Poland.
| | - Ignacy Tarski
- Faculty of Medicine, Wroclaw Medical University, Mikulicza-Radeckiego 5, 50-345, Wrocław, Poland.
| | - Małgorzata Małodobra-Mazur
- Department of Forensic Medicine, Division of Molecular Techniques, Wroclaw Medical University, Skłodowskiej-Curie 52, 50-369, Wrocław, Poland.
| |
Collapse
|
|
21
|
Xu YX, Zhang JH, Tao FB, Sun Y. Association between exposure to light at night (LAN) and sleep problems: A systematic review and meta-analysis of observational studies. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 857:159303. [PMID: 36228789 DOI: 10.1016/j.scitotenv.2022.159303] [Citation(s) in RCA: 20] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2022] [Revised: 10/03/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
BACKGROUND Accumulating evidence have investigated the effects of nighttime light exposure on sleep problems. Nevertheless, the evidence of the relationship between light at night (LAN) and sleep problems remains scarce and inconsistent. OBJECTIVE Conducted a systematic review and meta-analysis based on observational studies to examine the association between LAN exposure and sleep problems among human subjects. METHODS We systematically searched three databases (PubMed, Web of Science, and Embase) to identify potentially eligible studies through May 25, 2022. The risk of bias and the quality of the generated evidence were assessed by two authors using the National Toxicology Program's Office of Health Assessment and Translation (OHAT) risk of bias rating tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) guideline. Random-effects model was applied to synthesize the risk estimates across eligible studies. The heterogeneity of included studies was quantified by the statistics of I2. RESULTS A total of 7 cross-sectional studies comprising 577,932 participants were included. Individuals with higher levels of LAN exposure were associated with a 22 % (Summary Odds Ratio, SOR: 1.22, 95 %CI: 1.13-1.33) increased prevalence of sleep problems. The pooled effect size of indoor LAN exposure (SOR: 1.74, 95%CI: 1.27-2.37) associated with sleep problems was significantly higher than outdoor LAN exposure (SOR: 1.19, 95%CI: 1.11-1.29; P = 0.022). Additionally, dose-response analysis demonstrated that LAN intensity threshold exceeding 5.8 nW/cm2/sr (SOR: 1.04, 95%CI: 1.01-1.07) had a significant effect on sleep problems and the prevalence of sleep problems was increasing with increase in LAN intensity. CONCLUSIONS Overall, our findings support the detrimental effects of LAN exposure on sleep. Maintaining bedroom darkness at night may be a feasible measure to reduce the prevalence of sleep problems. Future longitudinal studies with more advanced LAN assessment methods are required to move the field forward.
Collapse
Affiliation(s)
- Yu-Xiang Xu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Jiang-Hui Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei 230032, 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.
| |
Collapse
|
|
22
|
Guan Q, Li Y, Wang Z, Cao J, Dong Y, Ren F, Chen Y. Monochromatic Light Pollution Exacerbates High-Fat Diet-Induced Adipocytic Hypertrophy in Mice. Cells 2022; 11:cells11233808. [PMID: 36497068 PMCID: PMC9737108 DOI: 10.3390/cells11233808] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2022] [Revised: 11/24/2022] [Accepted: 11/25/2022] [Indexed: 11/30/2022] Open
Abstract
Light pollution worldwide promotes the progression of obesity, which is widely considered a consequence of circadian rhythm disruptions. However, the role of environmental light wavelength in mammalian obesity is not fully understood. Herein, mice fed a normal chow diet (NCD) or a high-fat diet (HFD) were exposed to daytime white (WL), blue (BL), green (GL), and red light (RL) for 8 weeks. Compared with WL and RL, BL significantly increased weight gain and white adipose tissue (WAT) weight, and it disrupted glucose homeostasis in mice fed with HFD but not NCD. The analysis of WAT found that BL significantly aggravated HFD-induced WAT hypertrophy, with a decrease in IL-10 and an increase in NLRP3, p-P65, p-IκB, TLR4, Cd36, Chrebp, Srebp-1c, Fasn, and Cpt1β relative to WL or RL. More interestingly, BL upregulated the expression of circadian clocks in the WAT, including Clock, Bmal1, Per1, Cry1, Cry2, Rorα, Rev-erbα, and Rev-erbβ compared with WL or RL. However, most of the changes had no statistical difference between BL and GL. Mechanistically, BL significantly increased plasma corticosterone (CORT) levels and glucocorticoid receptors in the WAT, which may account for the changes in circadian clocks. Further, in vitro study confirmed that CORT treatment did promote the expression of circadian clocks in 3T3-L1 cells, accompanied by an increase in Chrebp, Cd36, Hsp90, P23, NLRP3, and p-P65. Thus, daily BL, rather than RL exposure-induced CORT elevation, may drive changes in the WAT circadian clocks, ultimately exacerbating lipid dysmetabolism and adipocytic hypertrophy in the HFD-fed mice.
Collapse
Affiliation(s)
- Qingyun Guan
- Neurobiology Laboratory, College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Yixuan Li
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education, Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
| | - Zixu Wang
- Neurobiology Laboratory, College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Jing Cao
- Neurobiology Laboratory, College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Yulan Dong
- Neurobiology Laboratory, College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Fazheng Ren
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education, Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
| | - Yaoxing Chen
- Neurobiology Laboratory, College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
- Key Laboratory of Precision Nutrition and Food Quality, Key Laboratory of Functional Dairy, Ministry of Education, Beijing Laboratory of Food Quality and Safety, Department of Nutrition and Health, China Agricultural University, Beijing 100083, China
- Correspondence: ; Tel.: +86-10-62733778; Fax: +86-10-62733199
| |
Collapse
|
|
23
|
Guan Q, Wang Z, Cao J, Dong Y, Chen Y. The role of light pollution in mammalian metabolic homeostasis and its potential interventions: A critical review. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 312:120045. [PMID: 36030956 DOI: 10.1016/j.envpol.2022.120045] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 08/17/2022] [Accepted: 08/20/2022] [Indexed: 06/15/2023]
Abstract
Irregular or unnatural artificial light causes severe environmental stress on the survival and health of organisms, which is rapidly becoming a widespread new type of environmental pollution. A series of disruptive behaviors to body homeostasis brought about by light pollution, including metabolic abnormalities, are likely to be the result of circadian rhythm disturbances. Recently, the proposed role of light pollution in metabolic dysregulation has accelerated it into an emerging field. Hence, the regulatory role of light pollution in mammalian metabolic homeostasis is reviewed in this contribution. Light at night is the most widely affected type of light pollution, which disrupts metabolic homeostasis largely due to its disruption of daily food intake patterns, alterations of hormone levels such as melatonin and glucocorticoids, and changes in the rhythm of inflammatory factor production. Besides, light pollution impairs mammalian metabolic processes in an intensity-, photoperiod-, and wavelength-dependent manner, and is also affected by species, gender, and diets. Nevertheless, metabolic disorders triggered by light pollution are not irreversible to some extent. Potential interventions such as melatonin supplementation, recovery to the LD cycle, time-restricted feeding, voluntary exercise, wearing blue light-shied goggles, and bright morning light therapy open a bright avenue to prevent light pollution. This work will help strengthen the relationship between light information and metabolic homeostasis and provide new insights for the better prevention of metabolic disorders and light pollution.
Collapse
Affiliation(s)
- Qingyun Guan
- College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Zixu Wang
- College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Jing Cao
- College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Yulan Dong
- College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China
| | - Yaoxing Chen
- College of Veterinary Medicine, China Agricultural University, Haidian, Beijing 100193, China; Department of Nutrition and Health, China Agricultural University, Haidian, Beijing 100193, China.
| |
Collapse
|
|
24
|
Tan SB. Changes in neighborhood environments and the increasing socioeconomic gap in child obesity risks: Evidence from Singapore. Health Place 2022; 76:102860. [PMID: 35863272 DOI: 10.1016/j.healthplace.2022.102860] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/12/2022] [Accepted: 06/27/2022] [Indexed: 11/26/2022]
Abstract
Most empirical research studying the link between neighborhood environments and child obesity risks are conducted in contexts such as the U.S., with pronounced patterns of residential segregation, making it difficult to extrapolate how far built environment characteristics contribute to socioeconomic disparities in obesity risks in less segregated contexts. Using a large national dataset of almost 625,000 students' height and weight data collected at ages 7, 11 and 14, between 2004 and 2015, this paper explores whether differences in eight neighborhood characteristics measuring access to different type of food outlets, parks and other active spaces, and public transport infrastructure might be responsible for socioeconomic differences in child obesity risks in Singapore, a city-state with relatively low levels of residential segregation. Through descriptive analyses we find that socioeconomic disparities in child BMIz in Singapore widened from 2004 onwards. However, while longitudinal regression models with individual and time fixed effects suggest that family socioeconomic status modified the relationship between environmental exposures and BMIz, there does not seem to be a clear, unequivocal relationship between built environment changes and the observed widening of the socioeconomic obesity gap.
Collapse
Affiliation(s)
- Shin Bin Tan
- Lee Kuan Yew School of Public Policy, National University of Singapore, 469C Bukit Timah Rd, National University of Singapore, 259772, Singapore; Department of Urban Studies and Planning, Massachusetts Institute of Technology, 77 Massachusetts Avenue, Cambridge, MA, 02139, USA.
| |
Collapse
|