1
|
Wang Y, Liu X, Li Y, Liu M, Wang Y, Zhang H, Liu J, Zhao Y. Association of urbanization-related factors with tuberculosis incidence among 1992 counties in China from 2005 to 2019: a nationwide observational study. Infect Dis Poverty 2025; 14:30. [PMID: 40275405 PMCID: PMC12023368 DOI: 10.1186/s40249-025-01299-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2024] [Accepted: 03/25/2025] [Indexed: 04/26/2025] Open
Abstract
BACKGROUND Most high tuberculosis (TB) burden countries are in low- and middle-income regions undergoing rapid urbanization. We aimed to assess the association between urbanization factors and TB incidence in China. METHODS We evaluated urbanization at the county level in China from 2005 to 2019 using a composite index integrating population density, gross domestic product (GDP, per capita), hospital beds per 1000 population, nighttime light (NTL), and normalized difference vegetation index (NDVI). The annual incidence rate and number of TB cases were obtained from the national Tuberculosis Information Management System, maintained by the Chinese Center for Disease Control and Prevention. Fixed-effects models were used to examine the association between urbanization factors and TB incidence. A subgroup analysis was performed by dividing counties into four regions: northeast, eastern, central, and western. RESULTS A total of 1992 counties in China were included in this study. Overall, urbanization scores were associated with reduced TB incidence (β = - 0.0114, P < 0.001), corresponding to a 1.1% reduction in TB incidence per unit score. Quadratic models presented a U-shaped relationship between urbanization and TB incidence with an inflection point at 52.94 urbanization units. For each indicator of urbanization, population density and the number of hospital beds were positively associated with TB incidence, with incidence rate ratios of 11.384 [95% confidence interval (CI): 9.337 to 13.881], and 1.015 (95% CI: 1.011 to 1.019), respectively, while GDP, NTL, and NDVI exhibited protective effects. Central China displayed an increase trend that urbanization score was linked to a 1.8% rise in TB incidence. CONCLUSIONS Urbanization-related factors, including GDP, NTL and NDVI, were inversely associated with TB incidence. Central China's contrasting results highlighted region-specific challenges. Therefore, governments in developing countries should adopt integrated approaches that promote both economic growth and sustainable development of environment during urbanization to optimize TB control efforts.
Collapse
Affiliation(s)
- Yaping Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Xiaoqiu Liu
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China
| | - Yuhong Li
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China
| | - Min Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China
| | - Yiheng Wang
- Department of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China
| | - Hongliang Zhang
- Department of Environmental Science and Engineering, Fudan University, 220 Handan Road, Shanghai, 200433, China.
| | - Jue Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
- Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, No.38 Xueyuan Road, Haidian District, Beijing, 100191, China.
- Global Center for Infectious Disease and Policy Research & Global Health and Infectious Diseases Group, Peking University, No.38 Xueyuan Road, Haidian District, Beijing, China.
| | - Yanlin Zhao
- National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Control and Prevention, No.155 Changbai Road, Changping District, Beijing, 102211, China.
| |
Collapse
|
2
|
Lee EY, Park S, Kim YB, Lee M, Lim H, Ross-White A, Janssen I, Spence JC, Tremblay MS. Exploring the Interplay Between Climate Change, 24-Hour Movement Behavior, and Health: A Systematic Review. J Phys Act Health 2024; 21:1227-1245. [PMID: 39187251 DOI: 10.1123/jpah.2023-0637] [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: 10/23/2023] [Revised: 07/03/2024] [Accepted: 07/03/2024] [Indexed: 08/28/2024]
Abstract
BACKGROUND Given the emergence of climate change and health risks, this review examined potential relationships between varying indicators of climate change, movement behaviors (ie, physical activity [PA], sedentary behavior, and sleep), and health. METHODS Seven databases were searched in March 2020, April 2023, and April 2024. To be included, studies must have examined indicators of climate change and at least one of the movement behaviors as either an exposure or a third variable (ie, mediator/moderator), and a measure of health as outcome. Evidence was summarized by the role (mediator/moderator) that either climate change or movement behavior(s) has with health measures. Relationships and directionality of each association, as well as the strength and certainty of evidence were synthesized. RESULTS A total of 79 studies were eligible, representing 6,671,791 participants and 3137 counties from 25 countries (40% low- and middle-income countries). Of 98 observations from 17 studies that examined PA as a mediator, 34.7% indicated that PA mediated the relationship between climate change and health measure such that indicators of adverse climate change were associated with lower PA, and worse health outcome. Of 274 observations made from 46 studies, 28% showed that PA favorably modified the negative association between climate change and health outcome. Evidence was largely lacking and inconclusive for sedentary behavior and sleep, as well as climate change indicators as an intermediatory variable. CONCLUSIONS PA may mitigate the adverse impact of climate change on health. Further evidence is needed to integrate PA into climate change mitigation, adaptation, and resilience strategies.
Collapse
Affiliation(s)
- Eun-Young Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Department of Gender Studies, Queen's University, Kingston, ON, Canada
- Children's Hospital of Eastern Ontario Research Institute, Ottawa,ON, Canada
- Institute of Sport Science, Seoul National University, Seoul, South Korea
| | - Seiyeong Park
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Institute of Sport Science, Seoul National University, Seoul, South Korea
| | - Yeong-Bae Kim
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Mikyung Lee
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Heejun Lim
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
| | - Amanda Ross-White
- Bracken Health Sciences Library, Queen's University, Kingston, ON, Canada
| | - Ian Janssen
- School of Kinesiology and Health Studies, Queen's University, Kingston, ON, Canada
- Department of Health Sciences, Queen's University, Kingston, ON, Canada
| | - John C Spence
- Faculty of Kinesiology, Sport, and Recreation, University of Alberta, Edmonton, AB, Canada
| | - Mark S Tremblay
- Children's Hospital of Eastern Ontario Research Institute, Ottawa,ON, Canada
- Department of Pediatrics, University of Ottawa, Ottawa, ON, Canada
| |
Collapse
|
3
|
Filippini T, Costanzini S, Chiari A, Urbano T, Despini F, Tondelli M, Bedin R, Zamboni G, Teggi S, Vinceti M. Light at night exposure and risk of dementia conversion from mild cognitive impairment in a Northern Italy population. Int J Health Geogr 2024; 23:25. [PMID: 39580439 PMCID: PMC11585219 DOI: 10.1186/s12942-024-00384-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2024] [Accepted: 11/19/2024] [Indexed: 11/25/2024] Open
Abstract
BACKGROUND A few studies have suggested that light at night (LAN) exposure, i.e. lighting during night hours, may increase dementia risk. We evaluated such association in a cohort of subjects diagnosed with mild cognitive impairment (MCI). METHODS We recruited study participants between 2008 and 2014 at the Cognitive Neurology Clinic of Modena Hospital, Northern Italy and followed them for conversion to dementia up to 2021. We collected their residential history and we assessed outdoor artificial LAN exposure at subjects' residences using satellite imagery data available from the Visible Infrared Imaging Radiometer Suite (VIIRS) for the period 2014-2022. We assessed the relation between LAN exposure and cerebrospinal fluid biomarkers. We used a Cox-proportional hazards model to compute the hazard ratio (HR) of dementia with 95% confidence interval (CI) according to increasing LAN exposure through linear, categorical, and non-linear restricted-cubic spline models, adjusting by relevant confounders. RESULTS Out of 53 recruited subjects, 34 converted to dementia of any type and 26 converted to Alzheimer's dementia. Higher levels of LAN were positively associated with biomarkers of tau pathology, as well as with lower concentrations of amyloid β1-42 assessed at baseline. LAN exposure was positively associated with dementia conversion using linear regression model (HR 1.04, 95% CI 1.01-1.07 for 1-unit increase). Using as reference the lowest tertile, subjects at both intermediate and highest tertiles of LAN exposure showed increased risk of dementia conversion (HRs 2.53, 95% CI 0.99-6.50, and 3.61, 95% CI 1.34-9.74). In spline regression analysis, the risk linearly increased for conversion to both any dementia and Alzheimer's dementia above 30 nW/cm2/sr of LAN exposure. Adding potential confounders including traffic-related particulate matter, smoking status, chronic diseases, and apolipoprotein E status to the multivariable model, or removing cases with dementia onset within the first year of follow-up did not substantially alter the results. CONCLUSION Our findings suggest that outdoor artificial LAN may increase dementia conversion, especially above 30 nW/cm2/sr, although the limited sample size suggests caution in the interpretation of the results, to be confirmed in larger investigations.
Collapse
Affiliation(s)
- Tommaso Filippini
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, 287 Via Campi, Modena, 41125, Italy.
- School of Public Health, University of California Berkeley, Berkeley, CA, USA.
| | - Sofia Costanzini
- DIEF - Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy
| | - Annalisa Chiari
- Neurology Unit, University Hospital of Modena, Modena, Italy
| | - Teresa Urbano
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, 287 Via Campi, Modena, 41125, Italy
| | - Francesca Despini
- DIEF - Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy
| | - Manuela Tondelli
- Neurology Unit, University Hospital of Modena, Modena, Italy
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Roberta Bedin
- Neurology Unit, University Hospital of Modena, Modena, Italy
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Giovanna Zamboni
- Neurology Unit, University Hospital of Modena, Modena, Italy
- Department of Biomedical, Metabolic, and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Sergio Teggi
- DIEF - Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center (CREAGEN), Department of Biomedical, Metabolic and Neural Sciences, Section of Public Health, University of Modena and Reggio Emilia, 287 Via Campi, Modena, 41125, Italy
- Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| |
Collapse
|
4
|
Wang W, Wang F, Yang C, Wang J, Liang Z, Zhang F, Li P, Zhang L. Associations between heat waves and chronic kidney disease in China: The modifying role of land cover. ENVIRONMENT INTERNATIONAL 2024; 186:108657. [PMID: 38626496 DOI: 10.1016/j.envint.2024.108657] [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: 01/26/2024] [Revised: 04/09/2024] [Accepted: 04/11/2024] [Indexed: 04/18/2024]
Abstract
The increasing frequency of heat waves under the global urbanization and climate change background poses elevating risks of chronic kidney disease (CKD). Nevertheless, there has been no evidence on associations between long-term exposures to heat waves and CKD as well as the modifying effects of land cover patterns. Based on a national representative population-based survey on CKD covering 47,086 adults and high spatial resolution datasets on temperature and land cover data, we found that annual days of exposure to heat waves were associated with increased odds of CKD prevalence. For one day/year increases in HW_975_4d (above 97.5 % of annual maximum temperature and lasting for at least 4 consecutive days), the odds ratio (OR) of CKD was 1.14 (95 %CI: 1.12, 1.15). Meanwhile, stronger associations were observed in regions with lower urbanicity [rural: 1.14 (95 %CI: 1.12, 1.16) vs urban: 1.07 (95 %CI: 1.03, 1.11), Pinteraction < 0.001], lower water body coverage [lower: 1.14 (95 %CI: 1.12, 1.16) vs higher: 1.02 (95 %CI: 0.98, 1.05), Pinteraction < 0.001], and lower impervious area coverage [lower: 1.16 (95 %CI: 1.14, 1.18) vs higher: 1.06 (95 %CI: 1.03, 1.10), Pinteraction = 0.008]. In addition, this study found disparities in modifying effects of water bodies and impervious areas in rural and urban settings. In rural regions, the associations between heat waves and CKD prevalence showed a consistent decreasing trend with increases in both proportions of water bodies and impervious areas (Pinteraction < 0.05). Nevertheless, in urban regions, we observed significant effect modification by water bodies, but not by impervious areas. Our study indicates the need for targeted land planning as part of adapting to the kidney impacts of heat waves, with a focus on urbanization in rural regions, as well as water body construction and utilization in both rural and urban regions.
Collapse
Affiliation(s)
- Wanzhou 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
| | - 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
| | - 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
| | - Jinwei Wang
- Renal Division, Department of Medicine, Peking University First Hospital, Peking University Institute of Nephrology, Beijing 100034, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment, Peking University, Ministry of Education of the People's Republic of China, Beijing, 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
| | - Feifei Zhang
- National Institute of Health Data Science at Peking University, Beijing 100191, China; Institute of Medical Technology, Peking University Health Science Center, Beijing 100191, China
| | - Pengfei Li
- Advanced Institute of Information Technology, Peking University, Hangzhou 311215, China
| | - Luxia Zhang
- National Institute of Health Data Science at Peking University, Beijing 100191, China; 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.
| |
Collapse
|