AIM:To identify key variables associated with colon cancer testing using the 2009 California Health Inventory Survey(CHIS).METHODS:The CHIS has been conducted biennially since 2001 using a two-stage,geographically str...AIM:To identify key variables associated with colon cancer testing using the 2009 California Health Inventory Survey(CHIS).METHODS:The CHIS has been conducted biennially since 2001 using a two-stage,geographically stratified random-digit-dial sample design to produce a representative sample of the entire State.For this study we used survey data from 2001-2009 inclusive.We restricted our analysis to White,Black,and Hispanic/Latinos aged 50-80 years.Weighted data was used to calculate the proportion of participants who underwent some form of colon cancer testing(colonoscopy,flexible sigmoidoscopy or fecal occult blood testing) within the previous 5 years stratified by race/ethnicity.For inferential analysis,boot-strapping with replacement was performed on the weighted sample to attain variance estimates at the 95%CI.For mean differences among categories we used t-tests and for comparisons of categorical data we used Pearson's χ 2.Binary logistic regression was used to identify independent variables associated with undergoing some form of testing.Trend analysis was performed to determine rates of testing over the study period stratified by race.RESULTS:The CHIS database for 2009 had 30 857 unique respondents corresponding to a weighted sample size of 10.6 million Californians.Overall,63.0%(63.0-63.1) underwent a colon cancer test within the previous 5 years;with 70.5%(70.5%-70.6%) of this subset having undergone colonoscopy.That is 44.5%(44.4%-44.5%) of all individuals 50-80 underwent colonoscopy.By multivariable regression,those tested were more likely to be male(OR = 1.06;95%CI:1.06-1.06),Black(OR = 1.30;95%CI:1.30-1.31),have a family member with colon cancer(OR = 1.71;95%CI:1.70-1.72),and have health insurance(OR = 2.71;95%CI:2.70-2.72).Progressive levels above the poverty line were also associated with receiving a test(100%-199%:1.21;1.20-1.21),(200%-299%:1.41;1.40-1.42),(> 300:1.69;1.68-1.70).The strongest variable was physician recommendation(OR = 3.90;95%CI:3.88-3.91).For the Hispanic/Latino group,additional variables associated with testing were success of physician-patient communication(OR = 2.44;95%CI:2.40-2.48) and naturalized citizenship status(OR = 1.91;95%CI:1.89-1.93).Trend analysis demonstrated increased colon cancer testing for all racial/ethnic subgroups from 2001-2009 although the rate remained considerably lower for the Hispanic/Latino subgroup.CONCLUSION:Using CHIS we identified California citizens most likely to undergo colon cancer testing.The strongest variable associated with testing for all groups was physician recommendation.展开更多
A complex autonomous inventory coupled system is considered. It can take, for example, the form of a network of chemical or biochemical reactors, where the inventory interactions perform the recycling of by-products b...A complex autonomous inventory coupled system is considered. It can take, for example, the form of a network of chemical or biochemical reactors, where the inventory interactions perform the recycling of by-products between the subsystems. Because of the flexible subsystems interactions, each of them can be operated with their own periods utilizing advantageously their dynamic properties. A multifrequency second-order test generalizing the p-test for single systems is described. It can be used to decide which kind of the operation (the static one, the periodic one or the multiperiodic one) will intensify the productivity of a complex system. An illustrative example of the multiperiodic optimization of a complex chemical production system is presented.展开更多
Objective:To explore the psychometrics of the Chinese adapted Test Anxiety Inventory(TAI).Methods:411 college students came from three universities in Guangzhou were administrated TAI,Test Anxiety Scale(TAS)and the FR...Objective:To explore the psychometrics of the Chinese adapted Test Anxiety Inventory(TAI).Methods:411 college students came from three universities in Guangzhou were administrated TAI,Test Anxiety Scale(TAS)and the FRIEBEN Test Anxiety Scale (FTA) during university test weeks.Results:(1)the Chinese version TAI had sound reliability.(2)The positive corelation between the Test Anxiety Inventory with TAS and sub-scales of the FTA showed the validity of Chinese version TAI could be accepted.(3)Female college students got significantly higher scores in Emotionality Scale of TAI than male college students.Conclusion:The Chinese version of TAI can be used for later research and/or practical works.展开更多
Background: Under ongoing climate and land-use change, biodiversity is continuously decreasing and monitoring biodiversity is becoming increasingly important. National Forest Inventory(NFI) programmes provide valuable...Background: Under ongoing climate and land-use change, biodiversity is continuously decreasing and monitoring biodiversity is becoming increasingly important. National Forest Inventory(NFI) programmes provide valuable timeseries data on biodiversity and thus contribute to assessments of the state and trends in biodiversity, as well as ecosystem functioning. Data quality in this context is of paramount relevance, particularly for ensuring a meaningful interpretation of changes. The Swiss NFI revisits about 8%–10% of its sample plots regularly in repeat surveys to supervise the quality of fieldwork.Methods: We analysed the relevance of observer bias with equivalence tests, examined data quality objectives defined by the Swiss NFI instructors, and calculated the pseudo-turnover(PT) of species composition, that is, the percentage of species not observed by both teams. Three attributes of woody species richness from the latest Swiss NFI cycles(3 and 4) were analysed: occurrence of small tree and shrub species(1) on the sample plot and(2) at the forest edge, and(3) main shrub and trees species in the upper storey.Results: We found equivalent results between regular and repeat surveys for all attributes. Data quality, however,was significantly below expectations in all cases, that is, as much as 20%–30% below the expected data quality limit of 70%–80%(proportion of observations that should not deviate from a predefined threshold). PT values were about 10%–20%, and the PT of two out of three attributes decreased significantly in NFI4. This type of uncertainty –typically caused by a mixture of overlooking and misidentifying species – should be considered carefully when interpreting change figures on species richness estimates from NFI data.Conclusions: Our results provide important information on the data quality achieved in Swiss NFIs in terms of the reproducibility of the collected data. The three applied approaches proved to be effective for evaluating the quality of plot-level species richness and composition data in forest inventories and other biodiversity monitoring programmes. As such, they could also be recommended for assessing the quality of biodiversity indices derived from monitoring data.展开更多
基金Supported by Grant K24 DK83268 awarded to Friedenberg F
文摘AIM:To identify key variables associated with colon cancer testing using the 2009 California Health Inventory Survey(CHIS).METHODS:The CHIS has been conducted biennially since 2001 using a two-stage,geographically stratified random-digit-dial sample design to produce a representative sample of the entire State.For this study we used survey data from 2001-2009 inclusive.We restricted our analysis to White,Black,and Hispanic/Latinos aged 50-80 years.Weighted data was used to calculate the proportion of participants who underwent some form of colon cancer testing(colonoscopy,flexible sigmoidoscopy or fecal occult blood testing) within the previous 5 years stratified by race/ethnicity.For inferential analysis,boot-strapping with replacement was performed on the weighted sample to attain variance estimates at the 95%CI.For mean differences among categories we used t-tests and for comparisons of categorical data we used Pearson's χ 2.Binary logistic regression was used to identify independent variables associated with undergoing some form of testing.Trend analysis was performed to determine rates of testing over the study period stratified by race.RESULTS:The CHIS database for 2009 had 30 857 unique respondents corresponding to a weighted sample size of 10.6 million Californians.Overall,63.0%(63.0-63.1) underwent a colon cancer test within the previous 5 years;with 70.5%(70.5%-70.6%) of this subset having undergone colonoscopy.That is 44.5%(44.4%-44.5%) of all individuals 50-80 underwent colonoscopy.By multivariable regression,those tested were more likely to be male(OR = 1.06;95%CI:1.06-1.06),Black(OR = 1.30;95%CI:1.30-1.31),have a family member with colon cancer(OR = 1.71;95%CI:1.70-1.72),and have health insurance(OR = 2.71;95%CI:2.70-2.72).Progressive levels above the poverty line were also associated with receiving a test(100%-199%:1.21;1.20-1.21),(200%-299%:1.41;1.40-1.42),(> 300:1.69;1.68-1.70).The strongest variable was physician recommendation(OR = 3.90;95%CI:3.88-3.91).For the Hispanic/Latino group,additional variables associated with testing were success of physician-patient communication(OR = 2.44;95%CI:2.40-2.48) and naturalized citizenship status(OR = 1.91;95%CI:1.89-1.93).Trend analysis demonstrated increased colon cancer testing for all racial/ethnic subgroups from 2001-2009 although the rate remained considerably lower for the Hispanic/Latino subgroup.CONCLUSION:Using CHIS we identified California citizens most likely to undergo colon cancer testing.The strongest variable associated with testing for all groups was physician recommendation.
文摘A complex autonomous inventory coupled system is considered. It can take, for example, the form of a network of chemical or biochemical reactors, where the inventory interactions perform the recycling of by-products between the subsystems. Because of the flexible subsystems interactions, each of them can be operated with their own periods utilizing advantageously their dynamic properties. A multifrequency second-order test generalizing the p-test for single systems is described. It can be used to decide which kind of the operation (the static one, the periodic one or the multiperiodic one) will intensify the productivity of a complex system. An illustrative example of the multiperiodic optimization of a complex chemical production system is presented.
文摘Objective:To explore the psychometrics of the Chinese adapted Test Anxiety Inventory(TAI).Methods:411 college students came from three universities in Guangzhou were administrated TAI,Test Anxiety Scale(TAS)and the FRIEBEN Test Anxiety Scale (FTA) during university test weeks.Results:(1)the Chinese version TAI had sound reliability.(2)The positive corelation between the Test Anxiety Inventory with TAS and sub-scales of the FTA showed the validity of Chinese version TAI could be accepted.(3)Female college students got significantly higher scores in Emotionality Scale of TAI than male college students.Conclusion:The Chinese version of TAI can be used for later research and/or practical works.
基金funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 787638),granted to Catherine Graham。
文摘Background: Under ongoing climate and land-use change, biodiversity is continuously decreasing and monitoring biodiversity is becoming increasingly important. National Forest Inventory(NFI) programmes provide valuable timeseries data on biodiversity and thus contribute to assessments of the state and trends in biodiversity, as well as ecosystem functioning. Data quality in this context is of paramount relevance, particularly for ensuring a meaningful interpretation of changes. The Swiss NFI revisits about 8%–10% of its sample plots regularly in repeat surveys to supervise the quality of fieldwork.Methods: We analysed the relevance of observer bias with equivalence tests, examined data quality objectives defined by the Swiss NFI instructors, and calculated the pseudo-turnover(PT) of species composition, that is, the percentage of species not observed by both teams. Three attributes of woody species richness from the latest Swiss NFI cycles(3 and 4) were analysed: occurrence of small tree and shrub species(1) on the sample plot and(2) at the forest edge, and(3) main shrub and trees species in the upper storey.Results: We found equivalent results between regular and repeat surveys for all attributes. Data quality, however,was significantly below expectations in all cases, that is, as much as 20%–30% below the expected data quality limit of 70%–80%(proportion of observations that should not deviate from a predefined threshold). PT values were about 10%–20%, and the PT of two out of three attributes decreased significantly in NFI4. This type of uncertainty –typically caused by a mixture of overlooking and misidentifying species – should be considered carefully when interpreting change figures on species richness estimates from NFI data.Conclusions: Our results provide important information on the data quality achieved in Swiss NFIs in terms of the reproducibility of the collected data. The three applied approaches proved to be effective for evaluating the quality of plot-level species richness and composition data in forest inventories and other biodiversity monitoring programmes. As such, they could also be recommended for assessing the quality of biodiversity indices derived from monitoring data.
