Objective To validate and use the Chinese Version of the M.D.Anderson Symptom Inventory(MDASI-C)to assess the symptom burden of breast cancer patients in China.Methods A total of 342 breast cancer patients in China pa...Objective To validate and use the Chinese Version of the M.D.Anderson Symptom Inventory(MDASI-C)to assess the symptom burden of breast cancer patients in China.Methods A total of 342 breast cancer patients in China participated in this study.Their symptoms were investigated with the MDASI-C from November 2020 to February 2021,and the reliability and validity of this tool were evaluated,respectively.Cluster analysis and correlation analysis were also performed.Results The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880,respectively.Construct validity revealed a four-factor structure.The Kaiser—Meyer—Olkin value was 0.760.The Karnofsky Performance Status,treatment phase,and cancer stage of the patients were grouped,and the differences of scores within the groups were significant.In addition,the employment status,education level,and age of the patients were significantly correlated with the symptoms.The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased.The top three symptoms were disturbed sleep(3.10±2.52),difficulty remembering(2.54±2.30),and fatigue(2.24±2.13).The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms.As the patients’BMI increased,the patients’pain,disturbed sleep,and difficulty remembering were aggravated,and numbness was alleviated.Conclusion The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China.The symptoms are related to many clinical and biochemical indicators.展开更多
The present study, carried out in the forest (Daloa) and pre-forest (M’Bahiakro) zones of Cote d’Ivoire, aims to determine soil landscape units using the coding method. Geological maps and satellite images (SRTM and...The present study, carried out in the forest (Daloa) and pre-forest (M’Bahiakro) zones of Cote d’Ivoire, aims to determine soil landscape units using the coding method. Geological maps and satellite images (SRTM and Landsat) were used for this purpose. The methodological approach adopted consisted in producing maps of slope, geology, land use and topography using the codification method. These various maps, integrated into a GIS using the coding aggregation method, were used to generate soil landscape maps. Twenty-seven (27) soil landscapes have been identified for the pre-forest zone (M’Bahiakro), with a strong dominance of acid rock over a moderate relief under savannah, forest/degraded forest and crops/fallow. However, the forest zone (Daloa), with forty-one (41) soil landscapes identified over the entire zone, is characterized by a majority of mafic rocks on a medium altitude under forest/degraded forest, water and crops/fallow. The criteria used from the codification method (sum of aggregations) made it possible to predict the spatial distribution of soil map units according to agro-ecological environments in the humid intertropical zone. This is essential for the orientation and reinforcement of soil survey tools. However, a comparative evaluation of the different multicriteria analysis methods for coding and weighting soil landscape unit mapping would enable us to identify the most suitable and efficient method for drawing up base maps for soil surveys.展开更多
The roads in correlation with the traffic linked to their existences are at the origin of the emission of numerous polluting substances likely to induce disturbances of the growth and the behavioral changes in the org...The roads in correlation with the traffic linked to their existences are at the origin of the emission of numerous polluting substances likely to induce disturbances of the growth and the behavioral changes in the organisms living in their vicinities. The purpose of this study is to analyze the growth and capacity accumulation of a common earthworm species (Millsonia omodeoi) in Cu, Cr, Ni, Pb and Zn in soils along a main road called “Autoroute du Nord” in C?te d’Ivoire. Thus, the earthworms were harvested in soils from a distance of 0 m (just after the sidewalk) to a distance of 200 m from the toll highway and in a control soil sampled in Lamto reserve (C?te d’Ivoire). The study was carried out in the soil laboratory at the ecological station of Lamto reserve. The Ford-Walford technique was used to determine the model and parameters most appropriated for describing the growth of earthworms. A pairwise comparison of the growth parameters was carried out using the Kruskal-Wallis test with the STATISTICA 7.1 software. The heavy metals contained in the cultivated soils and earthworms were detected and quantified using a Scanning Electron Micro-scope (MEB FEG Supra 40 VP Zeiss) and an Atomic Absorption Spectrometer SPECTRA 110 (VARIAN). The capacity accumulation of heavy metals in earthworm was determined by the bioaccumulation factor (BAF) calculation. The results of this study showed that Gompertz is the most appropriated model to describe the growth of M. omodeoi. The life cycle of M. omodeoi shows that this earthworm adopts a K type demographic strategy. Cu is the most accumulated heavy metals in M. omodeoi, when Cr is the least accumulated. Concerning heavy metal content in the earthworms, it decreases while moving away from the pavement. These results highlight a possibility of choice of M. omodeoi as 1) indicators of heavy metals pollution and 2) target of biological organisms for environmental impact studies.展开更多
基金This work was supported by the National Natural Science Foundation of China(No.81672977).
文摘Objective To validate and use the Chinese Version of the M.D.Anderson Symptom Inventory(MDASI-C)to assess the symptom burden of breast cancer patients in China.Methods A total of 342 breast cancer patients in China participated in this study.Their symptoms were investigated with the MDASI-C from November 2020 to February 2021,and the reliability and validity of this tool were evaluated,respectively.Cluster analysis and correlation analysis were also performed.Results The Cronbach’s alpha coefficient values of the symptom and interference items were 0.827 and 0.880,respectively.Construct validity revealed a four-factor structure.The Kaiser—Meyer—Olkin value was 0.760.The Karnofsky Performance Status,treatment phase,and cancer stage of the patients were grouped,and the differences of scores within the groups were significant.In addition,the employment status,education level,and age of the patients were significantly correlated with the symptoms.The correlation analysis of the education level of the patients showed that most of the symptoms and interference items were reduced as the education level was increased.The top three symptoms were disturbed sleep(3.10±2.52),difficulty remembering(2.54±2.30),and fatigue(2.24±2.13).The clinical and biochemical indicators such as body mass index and neutral granulocyte lymphocyte ratio had effects on many symptoms.As the patients’BMI increased,the patients’pain,disturbed sleep,and difficulty remembering were aggravated,and numbness was alleviated.Conclusion The MDASI-C is a reliable and effective assessment tool to evaluate patients with breast cancer in China.The symptoms are related to many clinical and biochemical indicators.
文摘The present study, carried out in the forest (Daloa) and pre-forest (M’Bahiakro) zones of Cote d’Ivoire, aims to determine soil landscape units using the coding method. Geological maps and satellite images (SRTM and Landsat) were used for this purpose. The methodological approach adopted consisted in producing maps of slope, geology, land use and topography using the codification method. These various maps, integrated into a GIS using the coding aggregation method, were used to generate soil landscape maps. Twenty-seven (27) soil landscapes have been identified for the pre-forest zone (M’Bahiakro), with a strong dominance of acid rock over a moderate relief under savannah, forest/degraded forest and crops/fallow. However, the forest zone (Daloa), with forty-one (41) soil landscapes identified over the entire zone, is characterized by a majority of mafic rocks on a medium altitude under forest/degraded forest, water and crops/fallow. The criteria used from the codification method (sum of aggregations) made it possible to predict the spatial distribution of soil map units according to agro-ecological environments in the humid intertropical zone. This is essential for the orientation and reinforcement of soil survey tools. However, a comparative evaluation of the different multicriteria analysis methods for coding and weighting soil landscape unit mapping would enable us to identify the most suitable and efficient method for drawing up base maps for soil surveys.
文摘The roads in correlation with the traffic linked to their existences are at the origin of the emission of numerous polluting substances likely to induce disturbances of the growth and the behavioral changes in the organisms living in their vicinities. The purpose of this study is to analyze the growth and capacity accumulation of a common earthworm species (Millsonia omodeoi) in Cu, Cr, Ni, Pb and Zn in soils along a main road called “Autoroute du Nord” in C?te d’Ivoire. Thus, the earthworms were harvested in soils from a distance of 0 m (just after the sidewalk) to a distance of 200 m from the toll highway and in a control soil sampled in Lamto reserve (C?te d’Ivoire). The study was carried out in the soil laboratory at the ecological station of Lamto reserve. The Ford-Walford technique was used to determine the model and parameters most appropriated for describing the growth of earthworms. A pairwise comparison of the growth parameters was carried out using the Kruskal-Wallis test with the STATISTICA 7.1 software. The heavy metals contained in the cultivated soils and earthworms were detected and quantified using a Scanning Electron Micro-scope (MEB FEG Supra 40 VP Zeiss) and an Atomic Absorption Spectrometer SPECTRA 110 (VARIAN). The capacity accumulation of heavy metals in earthworm was determined by the bioaccumulation factor (BAF) calculation. The results of this study showed that Gompertz is the most appropriated model to describe the growth of M. omodeoi. The life cycle of M. omodeoi shows that this earthworm adopts a K type demographic strategy. Cu is the most accumulated heavy metals in M. omodeoi, when Cr is the least accumulated. Concerning heavy metal content in the earthworms, it decreases while moving away from the pavement. These results highlight a possibility of choice of M. omodeoi as 1) indicators of heavy metals pollution and 2) target of biological organisms for environmental impact studies.
