scholarly journals Prevalence and Risk Factors Associated with Hyperuricemia in the Pearl River Delta, Guangdong Province, China

2021 ◽  
Vol Volume 14 ◽  
pp. 655-663
Author(s):  
Weiqi Liu ◽  
Weiling Liu ◽  
Shaoling Wang ◽  
Huichun Tong ◽  
Jianmin Yuan ◽  
...  
Keyword(s):  
Risk Factors ◽  
Pearl River Delta ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
Factors Associated ◽  
The Pearl River Delta ◽  
The Pearl River

scholarly journals Adverse birth outcomes in Guangdong province, China, 2014–2017: a spatiotemporal analysis of 2.9 million births

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e030629
Author(s):  
Huazhang Miao ◽  
Bing Li ◽  
Wu Li ◽  
Fei Yao ◽  
Yuliang Chen ◽  
...  
Keyword(s):  
Birth Outcomes ◽  
Pearl River Delta ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
Adverse Birth Outcomes ◽  
Pearl River Delta Region ◽  
Live Births ◽  
The Pearl River Delta ◽  
The Pearl River

ObjectivesAdverse birth outcomes pose a great threat to the public health and bring a heavy burden of disease in China. A comprehensive examination of the temporal and spatial trends of preterm birth (PTB), low birth weight (LBW) and small for gestational age (SGA) epidemics can provide some elementary information for subsequent aetiological and epidemiological studies. This study aimed to characterise the spatiotemporal features of PTB, LBW and SGA based on a large cohort of live births in China.DesignSpatiotemporal descriptive analysis was performed in Guangdong province, China, from 2014 to 2017.SettingData involving 2 917 098 live births in Guangdong province, China from 2014 to 2017 was collected from Guangdong Birth Certificate System. Information was collected, including the date of birth, gestational age in week, birth weight, sex of the infant, age of the mother and registered residence of the mother.ResultsThe estimated rate of PTB, LBW and SGA was 4.16%, 4.14% and 12.86%, respectively. For temporal trends, the rates of PTB, LBW and SGA showed seasonal fluctuations, especially for LBW and SGA. In addition, there were regional differences in the rates of PTB, LBW and SGA between the Pearl River Delta and Non-Pearl River Delta regions. From 2014 to 2017, the high rates of PTB and LBW expanded from the Pearl River Delta region to the Non-Pearl River Delta regions. However, compared with the Pearl River Delta region, the rate of SGA was higher in the Non-Pearl River Delta regions on the whole.ConclusionThe findings of this study contribute to the understanding of the aetiology and epidemiology of PTB, LBW and SGA in south China.

scholarly journals County-Scale Destination Migration Attractivity Measurement and Determinants Analysis: A Case Study of Guangdong Province, China

2019 ◽  
Vol 11 (2) ◽  
pp. 362 ◽  
Author(s):  
Qingsheng Yang ◽  
Hongxian Zhang ◽  
Kevin M Mwenda
Keyword(s):  
Economic Development ◽  
Social Service ◽  
Pearl River Delta ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
The Core ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
County Scale

Measuring destination attractivity and finding the determinants of attractivity at the county scale can finely reveal migration flows and explain what kinds of counties have higher attractivity. Such understanding can help local governors make better policies to enhance county attractivity and attract more migrants for regional development. In this study, the county-scale relative intrinsic attractivity (RIA) of Guangdong Province is computed using the number of migrants and the corresponding distances between origins and destinations. The results show that the RIA has a higher positive correlation with the flows of migrants to destination and demonstrates an obvious phenomenon of distance decay. The RIA decreases faster when the distance between origins and destinations increases. Spatially, the RIA reveals a core-periphery belt pattern in Guangdong Province. The center of the Pearl River Delta is the highest core of RIA and the outside areas of the delta represent the low-RIA belt. The highest RIA is 6811 in Dongguan City and the lowest RIA is 1 in Yangshan County. The core area includes Dongguan, Shenzhen City and the southern regions of Guangzhou, Foshan and Zhongshan City where the RIA value is higher than 1000. The second belt is mainly composed of the periphery districts of the Pearl River Delta, which include Shunde, Nanhai, Luohu, Tianhe Huicheng, Panyu, Haizhu, Huiyang, Huadu, Yuexiu, Xiangzhou and the Yuexiu, Huangpu and Boluo, where the RIA values are higher than 100 and lower than 1000. The third belt includes the western wing, eastern wing and northern area. Most of these RIA values range from 1 to 2. In this belt, there are three areas with relatively higher RIA attractivity scattered in the ring: the downtowns of Zhanjiang City, Chaozhou and Shantou Cities and Shaoguan City. The areas farther away from the core have a lower RIA score. Determinants analysis indicates that the RIA is positively determined by destination economic development level, social service and living standard level and destination population quality. A region will be more attractive if it has higher per capital GDP, tertiary industry level, investment and number of industrial enterprises involved in economic development. A region with a high annual average wage of employees and high social service and living standards will be more attractive, while a region with low destination population quality, including aspects such as the adult illiteracy rate, will be less attractive.

Prevalence of Hyperuricemia and Its Correlations With Other Diseases in The Pearl River Delta, Guangdong Province, China

2020 ◽  
Author(s):  
Weiqi Liu ◽  
Shaoling Wang ◽  
Weiling Liu ◽  
Huichun Tong ◽  
Jianmin Yuan ◽  
...  
Keyword(s):  
Body Mass Index ◽  
Body Mass ◽  
Pearl River Delta ◽  
Multivariate Logistic Regression Analysis ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
Related Factors ◽  
The Pearl River Delta ◽  
The Pearl River

Abstract Background: Hyperuricemia (HUA) has become the most common and serious public health problem worldwide. In China, the prevalence of HUA in the Pearl River Delta (PRD) region of Guangdong Province has not been extensively investigated. Therefore, this study investigated the prevalence of HUA and its related factors among people aged 20–99 years in nine cities in the PRD.Methods: We selected 6491 health check participants from 9 cities in the PRD and collected participants’ anthropometric and biochemical test results for a cross-sectional study. We included 6491 participants and assessed their blood pressure (BP), body mass index (BMI), total cholesterol (TC), triglycerides (TG), glucose (Glu) and serum uric acid (UA) to analyze the regional prevalence of HUA and its related factors. HUA was indicated when fasting serum UA level was > 420 μmol/L in men and > 360 μmol/L in women.Results: Overall prevalence of HUA in our cohort was 34.05%; prevalence was higher in men than in women (41.53% vs 26.14%, P < 0.000). Characteristics associated with HUA were hypertension (odds ratio (OR), 5.506; 95% confidence interval (CI), 4.402–6.889), higher body mass index (BMI; OR: 1.746; 95% CI: 1.560–1.954), age 31–40 years (OR: 0.829; 95% CI: 0.706–0.973), age 61–70 years (OR: 1.434; 95% CI: 1.194–1.722) and age > 71 years (OR: 1.742; 95% CI: 1.397–2.173). In all subjects, serum UA was positively correlated with Glu, TG and TC. After we adjusted for age, BMI and BP, multivariate logistic-regression analysis showed that HUA risk factors were high TC (OR: 1.770; 95% CI: 1.459–2.147) and TG (OR: 1.961; 95% CI: 1.632–2.357) in men; and high Glu (OR: 1.508; 95% CI: 1.084–2.099), TC (OR: 1.341; 95% CI: 1.084–1.660) and TG (OR: 1.680; 95% CI: 1.290–2.187) in women.Conclusion: The prevalence of HUA was relatively high in the PRD of Guangdong Province. Relevant governmental bodies should focus on early diagnosis, early treatment and early intervention.

scholarly journals Influence Mechanism of Production-Living-Ecological Space Changes in the Urbanization Process of Guangdong Province, China

Land ◽  
2021 ◽  
Vol 10 (12) ◽  
pp. 1357
Author(s):  
Yingxian Deng ◽  
Ren Yang
Keyword(s):  
Spatial Pattern ◽  
Pearl River Delta ◽  
Large Scale ◽  
Guangdong Province ◽  
River Delta ◽  
Pearl River ◽  
Small Scale ◽  
The Pearl River Delta ◽  
The Pearl River ◽  
Point Type

Referencing the land use classification system of the “production-living-ecological” space and using 1 km × 1 km grids, this study examines the spatial pattern changes of “production-living-ecological” space in Guangdong Province, China, from 1990 to 2017. In the study, a multiple linear regression analysis model was constructed to explore the influencing factors and attribution mechanism of the changes. The results showed that between 1990 and 2017, the production spaces were mainly distributed in the Pearl River Delta and other coastal areas, showing a slight expansion trend (1). The expansion of production spaces mainly gathered in the Pearl River Delta, while the reduction was characterized by point-type dispersed. Living spaces were mainly distributed in the Pearl River Delta, the Shantou–Shanwei–Chaozhou–Jieyang urban agglomeration, the Zhanjiang-Maoming–Yangjiang urban agglomeration, and other rapidly growing urbanized areas. They showed a spatial pattern of “large scale agglomeration and small scale dispersion” with a trend towards expansion. Living spaces in urban agglomerations such as the Pearl River Delta showed a large-scale expansion from the core to the peripheral area, while expansion in other areas was small-scale and point-type. The reduction of living spaces was point-type dispersed. The ecological spaces were mainly distributed in mountainous and hilly areas in eastern, western, and northern Guangdong and showed a “regional agglomeration and partially fragmented” spatial pattern. Ecological spaces in urban agglomerations showed large-scale and regional reductions, while reductions in other areas were small-scale and point-type. Ecological space expansions were point-type dispersed. Human, natural, and especially land-use type factors drove the changes of Guangdong’s production-living-ecological spaces (2). The changes of the production-living-ecological space pattern resulted from the interaction between human society, nature, and politics (3).

EVOLUTION OF SEDIMENTARY FACIES AND PALEOENVIRONMENT DURING THE LATE QUATERNARY IN WANQINGSHA AREA OF THE PEARL RIVER DELTA

2010 ◽  
Vol 29 (6) ◽  
pp. 35-42
Author(s):  
Jianhua WANG ◽  
Linglong CAO ◽  
Xiaojing WANG ◽  
Xiaoqiang YANG ◽  
Jie YANG ◽  
...  
Keyword(s):  
Pearl River Delta ◽  
Late Quaternary ◽  
Sedimentary Facies ◽  
River Delta ◽  
Pearl River ◽  
The Pearl River Delta ◽  
The Pearl River

scholarly journals An Effective Method for Wetland Park Health Assessment: a Case Study of the Guangdong Xinhui National Wetland Park in the Pearl River Delta, China

Wetlands ◽  
2021 ◽  
Vol 41 (4) ◽  
Author(s):  
Xiao-Shan Fang ◽  
Shuang Liu ◽  
Wei-Zhi Chen ◽  
Ren-Zhi Wu
Keyword(s):  
Health Status ◽  
Pearl River Delta ◽  
High Sensitivity ◽  
Indicator System ◽  
Holistic Health ◽  
River Delta ◽  
Pearl River ◽  
Landscape Indicators ◽  
The Pearl River Delta ◽  
The Pearl River

AbstractThe Guangdong Xinhui National Wetland Park (GXNWP) in the Pearl River Delta is an important stopover for migratory birds in China and East Asia. Due to high levels of interference, high sensitivity and fragile environmental constraints, an efficient method to assess the health status of wetland parks such as the GXNWP is urgently needed for sustainable development. In this study, we proposed a habitat-landscape-service (HLS) conceptual model that can be used at the site scale to evaluate health status in terms of habitats, landscapes and services by considering the complex ecosystem of wetland parks. This HLS model included 28 evaluation indicators, and the indicator weights and health-grade divisions were based on expert scores using both the analytic hierarchy process (AHP) and fuzzy comprehension evaluation (FCE) methods. The results showed that the health status of the GXNWP was at the “subhealthy” level, with a membership function of 0.4643. This study found that habitat indicators (0.5715) were the key factors affecting the GXNWP health status, followed by service indicators (0.2856) and landscape indicators (0.1429). The HLS-AHP-FCE method provides a holistic health evaluation indicator system and diagnostic approach for rapidly developing wetland parks in the Pearl River Delta, China.

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