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Liu W, Li S, Tao J, Liu X, Yin G, Xia Y, Wang T, Zhang H. CARM30: China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 using multi-source data. Sci Data 2024; 11:356. [PMID: 38589398 PMCID: PMC11001952 DOI: 10.1038/s41597-024-03188-1] [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: 10/12/2023] [Accepted: 03/25/2024] [Indexed: 04/10/2024] Open
Abstract
Rapeseed is a critical cash crop globally, and understanding its distribution can assist in refined agricultural management, ensuring a sustainable vegetable oil supply, and informing government decisions. China is the leading consumer and third-largest producer of rapeseed. However, there is a lack of widely available, long-term, and large-scale remotely sensed maps on rapeseed cultivation in China. Here this study utilizes multi-source data such as satellite images, GLDAS environmental variables, land cover maps, and terrain data to create the China annual rapeseed maps at 30 m spatial resolution from 2000 to 2022 (CARM30). Our product was validated using independent samples and showed average F1 scores of 0.869 and 0.971 for winter and spring rapeseed. The CARM30 has high spatial consistency with existing 10 m and 20 m rapeseed maps. Additionally, the CARM30-derived rapeseed planted area was significantly correlated with agricultural statistics (R2 = 0.65-0.86; p < 0.001). The obtained rapeseed distribution information can serve as a reference for stakeholders such as farmers, scientific communities, and decision-makers.
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Affiliation(s)
- Wenbin Liu
- Changjiang Institute of Survey Technical Research, MWR, Wuhan, Hubei, 430011, China
- The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430072, China
| | - Shu Li
- Changjiang Institute of Survey Technical Research, MWR, Wuhan, Hubei, 430011, China
| | - Jianbin Tao
- The Key Laboratory for Geographical Process Analysis & Simulation of Hubei Province/School of Urban and Environmental Sciences, Central China Normal University, Wuhan, Hubei, 430079, China
| | - Xiangyu Liu
- The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430072, China
| | - Guoying Yin
- The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430072, China
| | - Yu Xia
- The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, Hubei, 430072, China
| | - Ting Wang
- Hubei Research Institute of Spatial Planning, Wuhan, Hubei, 430064, China
| | - Hongyan Zhang
- School of Computer Sciences, China University of Geosciences, Wuhan, Hubei, 430074, China.
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Wang C, Guo J, Huang W, Tang Y, Man Li RY, Yue X. Health-driven mechanism of organic food consumption: A structural equation modelling approach. Heliyon 2024; 10:e27144. [PMID: 38449619 PMCID: PMC10915409 DOI: 10.1016/j.heliyon.2024.e27144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2023] [Revised: 02/13/2024] [Accepted: 02/25/2024] [Indexed: 03/08/2024] Open
Abstract
The COVID-19 pandemic seriously threatened human survival and development. It has also highlighted the significant correlation between ecological and public health. After three years of the COVID pandemic, Chinese consumers have become more aware of the importance of health. Especially in the Internet era, consumers' purchasing methods and health awareness have been changed. Consumers can buy nutritious and organic foods. To understand the impact of consumer psychology and health beliefs on the willingness to purchase organic food in the post-pandemic period, this study uses organic beef as an example and extracts key variables from three basic theories. The three basic theories include the Health Belief Model (HBM), the Theory of Planned Behavior (TPB), and the Norm Activation Model (NAM), respectively. Specifically, perceived susceptibility and severity are combined to form a health belief variable that can drive organic food purchasing. In contrast, perceived benefit, moral norms, self-efficiency, and controllability are introduced as mediating variables to construct the health driving factors of organic beef purchasing. Structural equation modeling (SEM) and mediation effect tests are used to analyse 539 samples. Meanwhile, paths and mechanisms between health concern and other variables are explored. The results show that health concern is an important driving factor. Health concern can significantly promote the formation of willingness to purchase organic beef. Mediation effect tests suggest that health concern can indirectly affect the willingness to purchase organic beef through perceived benefit, moral norms, and controllability, but the mediation effect of self-efficiency is not significant. This study provides important references for government regulation and certification of organic foods as well as for enterprises'organic food marketing strategies.
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Affiliation(s)
- Changxu Wang
- College of Economics and Management, Jiangxi Agricultural University, Nanchang, 330000, China
| | - Jinyong Guo
- College of Economics and Management, Jiangxi Agricultural University, Nanchang, 330000, China
| | - Wenbin Huang
- College of Economics and Management, Jiangxi Agricultural University, Nanchang, 330000, China
| | - Yonghong Tang
- College of Foreign Languages, Jiangxi Agricultural University, Nanchang, 330000, China
| | - Rita Yi Man Li
- Sustainable Real Estate Research Center/Department of Economics and Finance, Hong Kong Shue Yan University, Hong Kong, China
| | - Xiaoguang Yue
- Department of Computer Science and Engineering, School of Sciences, European University Cyprus, Nicosia, Cyprus
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Wang Y, Bai Y, Hu Y, Deng X, Weng C, Shu J, Wang C. Tele-connecting local consumption to cultivated land use and hidden drivers in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 912:169523. [PMID: 38141977 DOI: 10.1016/j.scitotenv.2023.169523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 12/07/2023] [Accepted: 12/17/2023] [Indexed: 12/25/2023]
Abstract
China faces significant pressure on cultivated land resources due to the accelerated pace of urbanization in recent years. The study of embodied cultivated land offers a new perspective on alleviating pressure on cultivated land between different regions. However, the temporal dynamics characteristic and the intersectoral linkages of embodied cultivated land have rarely been systematically described. Therefore, we applied an environmental extended multi-regional input-output approach to analyze the spatial patterns and flow relationships of virtual cultivated land (VCL) between regional, provincial and sectoral scale in China from 2007 to 2017, considering both temporal and spatial dimensions. Then, we explored the hidden drivers of VCL change using structural decomposition analysis (SDA). Our results showed that trade embodied cultivated land increase by 8.5 % from 2007 to 2017. The flow trend is primarily flowed out from the less developed northwest China but with abundant cultivated land to the more developed regions of the southeast coast. Especially, in 2015, the net outflow of VCL from the northwest region reached 15.82 Mha, which was the maximum value during the study period. In addition, agricultural and construction sector were the major land consumption sector. VCL consumed by the agricultural sector declined 12.51 %, while the VCL consumed by construction sector had a significant growth in 2007-2017. Furthermore, the results of SDA revealed that cultivated land use intensity and per capita final demand were the main factors causing changes in embodied cultivated land. The results can help clarify the responsible parties for land consumption and provide a guarantee for alleviating the pressure on regional cultivated land resources.
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Affiliation(s)
- Yiwei Wang
- School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
| | - Yuping Bai
- School of Land Science and Technology, China University of Geosciences, Beijing 100083, China; Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Land and Resources, Beijing 100035, China.
| | - Yecui Hu
- School of Land Science and Technology, China University of Geosciences, Beijing 100083, China; Key Laboratory of Land Consolidation and Rehabilitation, Ministry of Land and Resources, Beijing 100035, China
| | - Xiangzheng Deng
- Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuyao Weng
- School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
| | - Jiayao Shu
- School of Land Science and Technology, China University of Geosciences, Beijing 100083, China
| | - Chao Wang
- School of Labor Economics, Capital University of Economics and Business, Beijing 100070, China
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Wang LY, Hu ZY, Chen HX, Tang ML, Hu XY. Multiple geriatric syndromes in community-dwelling older adults in China. Sci Rep 2024; 14:3504. [PMID: 38347070 PMCID: PMC10861528 DOI: 10.1038/s41598-024-54254-y] [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: 09/19/2023] [Accepted: 02/10/2024] [Indexed: 02/15/2024] Open
Abstract
This study aims to assess the prevalence of geriatric syndromes and identify factors associated with multiple geriatric syndromes in community-dwelling older adults in China. We utilized a convenience sampling method to recruit older adults and from one rural and one urban community in Chengdu, China, from October 2022 to March 2023. A total of 706 older adults aged 60 years or older were included. Ten geriatric syndromes were investigated including two mental disorders: depressive symptoms, cognitive impairment; and eight somatic disorders: pain, falls, sleep disturbance, constipation, polypharmacy, multimorbidity, malnutrition and frailty. Multiple geriatric syndromes were defined as an individual having two or more geriatric syndromes. The data obtained were analysed using descriptive statistics. The independent risk factors for multiple geriatric syndromes were assessed using a logistic regression model. This study found that 90.5% of the participants had at least one geriatric syndrome, with 72.8% experiencing multiple geriatric syndromes. The top four geriatric syndromes in our study were polypharmacy (58.5%), malnutrition/at risk of malnutrition (43.1%), multimorbidity (42.1%), and frailty/prefrailty (34.3%). Of the older adults, 368(52.1%) had only somatic disorders, 18(2.5%) had only mental disorders and 253 (35.8%) had somatic-mental disorders. According to the logistic regression analysis, residence, age, marriage, BMI, and self-related health were significantly associated with multiple geriatric syndromes among older adults. This study highlights that multiple geriatric syndromes are prevalent among community-dwelling older adults in China, and underscores the significance of certain demographic factors in their occurrence. Future longitudinal studies are needed to establish the temporal relationship between multiple geriatric syndromes and these demographic factors, as well as to explore causal relationships and effective prevention strategies for geriatric syndrome.
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Affiliation(s)
- Ling-Ying Wang
- Innovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, School of Nursing, Sichuan University, Chengdu, 610041, China
- Critical Care Medicine Department, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Zi-Yi Hu
- Nursing Department, West China Hospital, Sichuan University/West China School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Hong-Xiu Chen
- Innovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, School of Nursing, Sichuan University, Chengdu, 610041, China
| | - Meng-Lin Tang
- Critical Care Medicine Department, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Xiu-Ying Hu
- Innovation Center of Nursing Research and Nursing Key Laboratory of Sichuan Province, West China Hospital, School of Nursing, Sichuan University, Chengdu, 610041, China.
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Liu L, Hu X, Zhan Y, Sun Z, Zhang Q. China's dietary changes would increase agricultural blue and green water footprint. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 903:165763. [PMID: 37527706 DOI: 10.1016/j.scitotenv.2023.165763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Revised: 06/23/2023] [Accepted: 07/22/2023] [Indexed: 08/03/2023]
Abstract
Agriculture accounts for 61 % of fresh water consumption in China. Although population and diet have a significant impact on water consumption, little is known about the reasons for and extent of their influence. Changes in the blue and green water footprint of 20 agricultural sectors in 31 Chinese provinces were estimated in 5 scenarios by applying the environmentally expanded multi-regional input-output model. The water footprint network is strongly interconnected, with over 50 % of the provinces characterized as net importers of the blue water footprint, 70 % of the total blue and green water footprint imports in developed provinces, and 65 % of the total blue and green water footprint exports in developing provinces, with the flow distribution driven and dominated by economically developed provinces. The findings also highlighted that the impact of population change on the water footprint is insignificant, contributing 0.51 % and 5.78 % to the reduction of the water footprint in 2030 and 2050, respectively. The impact of simultaneous changes in the population and dietary structure on the water footprint was higher than population changes and lower than dietary structure changes. The main force driving changes in the water footprint was changes in the dietary structure, which resulted in a two-fold effect on the water footprint. First, it has increased the blue and green water footprint by 33 % and 12 %, respectively, thus aggravating the coercive impact on water resources on the production side. Second, it has led to a change in the main contributing sectors for the blue and green water footprint from cereals to fruits, vegetables, and potatoes. Therefore, when the population is changing and optimizing its dietary structures, a greater focus must be placed on threats and pressures to water resources. This will result in better scientific management and more efficient use of water resources.
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Affiliation(s)
- Licheng Liu
- College of Land Science and Technology, China Agricultural University, Beijing 100083, China
| | - Xintao Hu
- College of Land Science and Technology, China Agricultural University, Beijing 100083, China
| | - Yijuan Zhan
- College of Land Science and Technology, China Agricultural University, Beijing 100083, China
| | - Zhongxiao Sun
- College of Land Science and Technology, China Agricultural University, Beijing 100083, China
| | - Qian Zhang
- College of Land Science and Technology, China Agricultural University, Beijing 100083, China.
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Lan Y, Xu B, Huan Y, Guo J, Liu X, Han J, Li K. Food Security and Land Use under Sustainable Development Goals: Insights from Food Supply to Demand Side and Limited Arable Land in China. Foods 2023; 12:4168. [PMID: 38002225 PMCID: PMC10670508 DOI: 10.3390/foods12224168] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 11/11/2023] [Accepted: 11/13/2023] [Indexed: 11/26/2023] Open
Abstract
The conflict between economic growth and the arable land demand poses a significant challenge to maintaining food security and achieving the Sustainable Development Goals. Meanwhile, substantial regional disparities in food consumption contribute to variations in land demand, further exacerbating constraints on food security. However, few studies have delved into regional differences in land demand related to food consumption. To bridge these gaps, this study estimated the arable land demand and associated pressures, considering food consumption patterns and the land footprint across 31 provincial districts in China. The findings reveal that grains remain the primary crop consumed by Chinese residents. Notably, the food consumption pattern exhibits substantial disparities among provincial districts, particularly concerning livestock products. Given China's vast population and escalating consumption of livestock, the country demonstrates heightened land demands. While China does not face a national-level food security threat, regional disparities are evident, with eight provincial districts facing potential food security risks. This study explored the challenges and pathways in maintaining food security and the visions to achieve it, emphasizing the importance of sustaining a balanced food consumption pattern, reducing food waste, improving environmentally friendly agriculture practices, formulating effective and continuous laws and regulations, and exploring potential land resource development to alleviate the pressure on arable land and ensure food security.
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Affiliation(s)
- Yang Lan
- Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (Y.L.); (J.G.)
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (B.X.); (J.H.)
- The Bartlett School of Environment, Energy and Resources, University College London, London WC1E 6BT, UK
| | - Bingjie Xu
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (B.X.); (J.H.)
- Resources Geography and Land Resources Research Division, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yizhong Huan
- College of Humanities and Development Studies, China Agricultural University, Beijing 100083, China;
- College of International Development and Global Agriculture, China Agricultural University, Beijing 100083, China
| | - Jinhua Guo
- Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (Y.L.); (J.G.)
| | - Xiaojie Liu
- Key Laboratory of Natural Resource Coupling Process and Effects, Ministry of Natural Resources, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; (Y.L.); (J.G.)
| | - Jingwen Han
- College of Land Science and Technology, China Agricultural University, Beijing 100193, China; (B.X.); (J.H.)
| | - Keran Li
- College of Energy, Chengdu University of Technology, Chengdu 610059, China;
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Qi Y, Qiang W, Ma X. Spatiotemporal Pattern Evolution of Food and Nutrient Production in China. Foods 2023; 12:3791. [PMID: 37893684 PMCID: PMC10606205 DOI: 10.3390/foods12203791] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Revised: 10/10/2023] [Accepted: 10/13/2023] [Indexed: 10/29/2023] Open
Abstract
Ensuring food and nutrient supply is a crucial aspect of achieving food safety. With rapid population growth, urbanization, and social and economic development, the challenges related to China's food and nutrient production have become increasingly prominent. This paper analyzed the characteristics of the spatiotemporal pattern evolution of food and nutrient production in China from 1995 to 2020, utilizing the conversion of various food nutrients and the establishment of a gravity center model. The results showed that: (1) Food production exhibited increasing trends in China, six regions, and 90% of the provinces. Notably, the structure of food production underwent significant changes in China, East China, Central-South China, Southwest China, Northwest China, and 60% of the provinces. (2) The output of all categories of food nutrients demonstrated increasing trends in China, six regions, and most provinces. At three different geographical scales, the changes of six food nutrients production structure showed significant differences. (3) Natural, political, social, economic, and technological factors played pivotal roles in influencing the gravity centers of food and nutrient production in China. The gravity centers of cereal production shifted northeast, while those of root and tuber, oil crops, and stimulants production moved westward. Additionally, the gravity centers of sugar crop, pulse, vegetable, fruit, and aquatic product production moved southwest and those of livestock and poultry production shifted northward. (4) Affected by the food production, the gravity centers of food energy, food protein, and food carbohydrate production shifted northward, while those of food fat, food vitamins, and food minerals production shifted northwest, southwest, and westward, respectively. The results of this study are of great significance for policy adjustments pertaining to the distribution pattern of food production, food security stability, and sustainable development in China.
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Affiliation(s)
| | - Wenli Qiang
- College of Earth and Environmental Sciences, Lanzhou University, Lanzhou 730000, China; (Y.Q.); (X.M.)
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Zhang B, Xu K, Mi B, Liu H, Wang Y, Huo Y, Ma L, Liu D, Jing H, Liu J, Cao S, Dang S, Yan H. Maternal Dietary Inflammatory Potential and Offspring Birth Outcomes in a Chinese Population. J Nutr 2023; 153:1512-1523. [PMID: 37029046 DOI: 10.1016/j.tjnut.2023.03.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2022] [Revised: 02/28/2023] [Accepted: 03/07/2023] [Indexed: 04/07/2023] Open
Abstract
BACKGROUND Chronic inflammation perturbations during pregnancy may impact fetal growth; however, research on the association between dietary inflammation and birth outcomes is limited and inconsistent. OBJECTIVES This study seeks to assess whether the dietary inflammatory potential is related to birth outcomes among pregnant women in China. METHODS A total of 7194 mothers aged 17-46 y and their infants in China were included in this cross-sectional study. Dietary intake was assessed by a FFQ, which yielded scores on the energy-adjusted dietary inflammatory index (E-DII). Birth outcomes included birth weight, gestational age, birth weight z score, low birth weight (LBW), macrosomia, preterm birth, small-for-gestational-age (SGA), large-for-gestational-age (LGA), and birth defects. Generalized estimating equation and restricted cubic spline fit each outcome on continuous or quartiles of E-DII after adjusting for covariates. RESULTS The maternal E-DII ranged from -5.35 to 6.77. Overall, birth weight and gestation age (mean ± SD) were 3267.9 ± 446.7 g and 39.6 ± 1.3 wk, respectively, and the birth weight z score was 0.02 ± 1.14. A total of 3.2% of infants were born with LBW, 6.1% with macrosomia, 3.0% were preterm birth, 10.7% were born SGA, 10.0% were born LGA, and 2.0% were born with birth defects. E-DII was associated with a 9.8 g decrease in birth weight (95% CI: -16.9, -2.6) and a 1.09-fold (95% CI: 1.01, 1.18), 1.11-fold (95% CI: 1.02, 1.21), and 1.12-fold (95% CI: 1.02, 1.24) greater risk of LBW, preterm birth, and birth defects, respectively. The maternal E-DII score was nonlinearly associated with gestational age (P for linearity = 0.009, P for curvature = 0.044). CONCLUSIONS Among pregnant Chinese women, proinflammatory diets during pregnancy were related to reduced offspring birth weight and an increased risk of LBW, preterm birth, and birth defects. These findings might inform potential prevention strategies for pregnant women in China.
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Zhang G, Han J, Su B. Contributions of cleaner production and end-of-pipe treatment to NO x emissions and intensity reductions in China, 1997-2018. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 326:116822. [PMID: 36417835 DOI: 10.1016/j.jenvman.2022.116822] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2022] [Revised: 11/10/2022] [Accepted: 11/16/2022] [Indexed: 06/16/2023]
Abstract
The Chinese experience of economic development and environmental protection provides an important reference for developing countries. Although changes in aggregate NOx emissions have been widely studied, there is a relative lack of studies analysing NOx intensity changes and their related development strategies in China. This study attempts to identify the socioeconomic drivers and change patterns for both NOx emissions and intensity considering the cleaner production and end-of-pipe treatments. Both structural decomposition analysis and structural path analysis were used to analyse the NOx emissions/intensity changes at different levels and transmission layers in China in the last two decades (1997-2018). The results indicate that construction contributes the most to NOx emissions/intensity, followed by transportation. The emission intensity effect is the primary driver of NOx emissions/intensity reduction, which mainly benefits from end-of-pipe treatment and energy efficiency improvement. Especially, during 2012-2018, they decreased 11,916 Kt-NOx and 8,103 Kt-NOx emissions and aggregate embodied intensity by 43.2% and 29.8%, respectively. The final demand effect is the primary deterrent, which is attributed to investment and consumption effects. The critical sectors for future NOx reduction are the construction and building materials industry, transportation and other services industry. The policy implications and recommendations for the future developments are discussed based on the study findings.
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Affiliation(s)
- Guoxing Zhang
- School of Management, Lanzhou University, Lanzhou, 730000, Gansu, China; Institute of Green Finance, Lanzhou University, Lanzhou, 730000, Gansu, China.
| | - Jilei Han
- School of Management, Lanzhou University, Lanzhou, 730000, Gansu, China
| | - Bin Su
- Energy Studies Institute, National University of Singapore 119620, Singapore; Department of Industrial Systems Engineering and Management, National University of Singapore, 117576, Singapore
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Li X, Guo T, Zhang Y, Liu K, Xu X, Fu Y, Liu X, Ren X, Yang H. Risk Factors for Fellow Eye Involvement in Patients with Nonarteritic Anterior Ischemic Optic Neuropathy. Ophthalmic Res 2022; 66:398-405. [PMID: 36502803 DOI: 10.1159/000528627] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 11/17/2022] [Indexed: 12/23/2023]
Abstract
INTRODUCTION The aim of the study was to investigate the possible risk factors for fellow eye involvement in patients with nonarteritic anterior ischemic optic neuropathy (NAION). METHODS A total of 113 patients with unilateral NAION attack were included and divided into two groups according to whether fellow eye involvement was present over a mean follow-up period of 2.70 years (P25-P75: 0.77-3.54 years). General characteristics (including age, sex, diabetes, hypertension, hyperlipidemia, and obstructive sleep apnea syndrome [OSAS]) and ocular characteristics (including initial best-corrected visual acuity, initial visual field damage of the first eye, and the presence/absence of a crowded disc) were analyzed and compared between the two groups. Cox regression was used to assess the risk factors for fellow eye involvement. RESULTS During the follow-up period, 40 patients developed fellow eye involvement. The initial best-corrected visual acuity (p = 0.048) and mean deviation of the visual field (VF) (p = 0.039) of the first eye in patients with fellow eye involvement were worse than those in patients without it. Diabetes (HR = 3.06, 95% CI: 1.50, 6.26, p = 0.002) and increased VF damage (moderate vs. mild, HR = 2.92, 95% CI: 1.03, 8.25, p = 0.043; severe vs. mild, HR = 5.01, 95% CI: 1.65, 15.20, p = 0.004) were associated with a significantly increased risk of fellow eye involvement. In 57 patients with apnea-hypopnea index (AHI) data for further study, an AHI score ≥23.2 was also found to be a risk factor (HR = 3.36, 95% CI: 1.17, 9.69, p = 0.025). CONCLUSION Diabetes, severer initial VF damage, and more severe OSAS were risk factors for fellow eye involvement in NAION. For patients with these risk factors, more intensive follow-ups might be warranted.
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Affiliation(s)
- Xinnan Li
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China,
| | - Taimin Guo
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yurong Zhang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Kaiqun Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaoyu Xu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Yue Fu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xiaoning Liu
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Xin Ren
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
| | - Hui Yang
- State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China
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