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| 1 | Impact of Heat Wave in 2005 on Mortality in Guangzhou, China显示文摘Objective To assess the impact of the heat wave in 2005 on mortality among the residents in Guangzhou and to identify susceptible subpopulations in Guangzhou, China. Methods The data of daily number of deaths and meteorological measures from 2003 to 2006 in Guangzhou were used in this study. Heat wave was defined as ≥7 consecutive days with daily maximum temperature above 35.0 ℃ and daily mean temperature above the 97th percentile during the study period. The excess deaths and rate ratio (RR) of mortality in the case period compared with the reference period in the same summer were calculated. Results During the study period, only one heat wave in 2005 was identified and the total number of excess deaths was 145 with an average of 12 deaths per day. The effect of the heat wave on non-accidental mortality (RR=1.23, 95% CI: 1.11-1.37) was found with statistically significant difference. Also, greater effects were observed for cardiovascular mortality (RR=1.34, 95% CI: 1.13-1.59) and respiratory mortality (RR=1.31, 95% CI: 1.02-1.69). Females, the elderly and people with lower socioeconomic status were at significantly higher risk of heat wave-associatedmortality. Conclusion The 2005 heat wave had a substantial impact on mortality among the residents in Guangzhou, particularly among some susceptible subpopulations. The findings from the present study may provide scientific evidences to develop relevant public health policies and prevention measures aimed at reduction of preventable mortality from heat waves. | YANG Jun LIU Hua Zhang OU Chun Quan LIN Guo Zhen DING Yan ZHOU Qin SHEN Ji Chuan CHEN Ping Yan | 2013 | Biomedical and Environmental Sciences2013，26，8： | 16 |
| 2 | The Impacts of Mosquito Density and Meteorological Factors on Dengue Fever Epidemics in Guangzhou, China, 2006-2014: a Time-series Analysis显示文摘Objective To explore the associations between the monthly number of dengue fever(DF) cases and possible risk factors in Guangzhou, a subtropical city of China. Methods The monthly number of DF cases, Breteau Index(BI), and meteorological measures during 2006-2014 recorded in Guangzhou, China, were assessed. A negative binomial regression model was used to evaluate the relationships between BI, meteorological factors, and the monthly number of DF cases. Results A total of 39,697 DF cases were detected in Guangzhou during the study period. DF incidence presented an obvious seasonal pattern, with most cases occurring from June to November. The current month's BI, average temperature(Tave), previous month's minimum temperature(Tmin), and Tave were positively associated with DF incidence. A threshold of 18.25 °C was found in the relationship between the current month's Tmin and DF incidence. Conclusion Mosquito density, Tave, and Tmin play a critical role in DF transmission in Guangzhou. These findings could be useful in the development of a DF early warning system and assist in effective control and prevention strategies in the DF epidemic. | SHEN Ji Chuan LUO Lei LI Li JING Qin Long OU Chun Quan YANG Zhi Cong CHEN Xiao Guang | 2015 | Biomedical and Environmental Sciences2015，28，5： | 12 |
| 3 | The Impact of Relative Humidity and Atmospheric Pressure on Mortality in Guangzhou, China显示文摘Objective Although many studies have examined the effects of ambient temperatures on mortality, little evidence is on health impacts of atmospheric pressure and relative humidity. This study aimed to assess the impacts of atmospheric pressure and relative humidity on mortality in Guangzhou, China. Methods This study included 213,737 registered deaths during 2003-2011 in Guangzhou, China. A quasi-Poisson regression with a distributed lag non-linear model was used to assess the effects of atmospheric pressure/relative humidity. Results We found significant effect of low atmospheric pressure/relative humidity on mortality. There was a 1.79%(95% confidence interval: 0.38%-3.22%) increase in non-accidental mortality and a 2.27%(0.07%-4.51%) increase in cardiovascular mortality comparing the 5th and 25 th percentile of atmospheric pressure. A 3.97%(0.67%-7.39%) increase in cardiovascular mortality was also observed comparing the 5th and 25 th percentile of relative humidity. Women were more vulnerable to decrease in atmospheric pressure and relative humidity than men. Age and education attainment were also potential effect modifiers. Furthermore, low atmospheric pressure and relative humidity increased temperature-related mortality. Conclusion Both low atmospheric pressure and relative humidity are important risk factors of mortality. Our findings would be helpful to develop health risk assessment and climate policy interventions that would better protect vulnerable subgroups of the population. | OU Chun Quan YANG Jun OU Qiao Qun LIU Hua Zhang LIN Guo Zhen CHEN Ping Yan QIAN Jun GUO Yu Ming | 2014 | Biomedical and Environmental Sciences2014，27，12： | 5 |
| 4 | Extension Protocol for the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC)Study:2021 update显示文摘Background Malnutrition is common in patients with cancer,and this adversely affects the survival and quality of life of patients.Chinese Society for Nutritional Oncology issued a multi-center,large-scale,long-term follow-up prospective study,the Investigation on Nutrition Status and Clinical Outcome of Patients with Common Cancers in China(INSCOC study)since 2013.This is an extension to the previous 2013-2020 study protocol.This study still sought to:①address the prognostic impact of nutritional factors and quality of life on cancer patient survival;②describe the overall and cancer-specific incidence and/or distribution of malnutrition and different measurements of patient quality of life.Methods and study design This is an observational,multi-centered,hospital-based prospective cohort study.Data collection will be performed at baseline(within 48 hours after patient admission),during the hospital stay and 30 days after hospital admission.Follow-up will be conducted for 1-20 years after enrollment.The primary outcome will be the all-cause mortality/overall survival,and secondary outcomes will be the length of hospital stay and costs of hospitalization.Study factors will include demographic characteristics,tumor characteristics,information about chronic diseases,hematological measurements(e.g.,red blood cell count,total lymphocyte counts,hemoglobin,albumin,prealbumin,creatinine,C-reactive protein,IL-6),anthropometric measurements(e.g.,height,weight,arm circumference,arm muscle circumference,triceps skinfold thickness,and waist circumference),body composition parameters,PG-SGA scores,quality of life(as indicated by the QLQ-C30 questionnaire),muscle mass(as indicated by the calf circumference),muscle strength(as indicated by the handgrip strength),muscle function(as indicated by the six-meter walking speed test)and physical status assessments(as indicated by the Karnofsky Performance Status scores).This clinical study protocol was approved by local Ethics Committees of all the participating hospitals.Written informed consent is required for each subject included.Discussion This multi-center,large-scale,long-term follow up prospective study will help improve the diagnosis of malnutrition in cancer patients and identify the risk factors associated with adverse clinical outcomes.The anticipated results of this study will highlight the need for a truly scientific appraisal of nutrition therapy in Chinese oncology populations,and finally help treat the potentially reversible elements of malnutrition in cancer patients to improve their clinical outcomes in the future. | Hong Xia Xu Chun Hua Song Liang Yu Yin Chang Wang Zhen Ming Fu Zeng Qing Guo Yuan Lin Ying Ying Shi Wen Hu Yi Ba Su Yi Li Zeng Ning Li Kun Hua Wang Jing Wu Ying He Jia Jun Yang Cong Hua Xie Fu Xiang Zhou Xin Xia Song Gong Yan Chen Wen Jun Ma Su Xia Luo Zi Hua Chen Zhi Kang Chen Ming Hua Cong Hu Ma Chun Ling Zhou Wei Wang Qi Luo Yong Mei Shi Yu Mei Qi Hai Ping Jiang Wen Xian Guan Jun Qiang Chen Xiang Hua Wu Jia Xin Chen Yu Fang Lan Zhou Yong Dong Feng Rong Shao Tan Tao Li Jun Wen Ou Qing Chuan Zhao Jian Xiong Wu Min Weng Qing Hua Yao Ya Yin Yu Quan Jun Lyu Hong Qiu Ming Liu Wei Li Han Ping Shi The Investigation on Nutrition Status and Clinical Outcome of Common Cancers(INSCOC)Group | 2022 | Journal of Nutritional Oncology2022，7，2： | 3 |
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