The Denver Developmental Screening Test (DDST) was administered to 2,569 children five to seven months prior to starting kindergarten in September 1980 in a geographically well-defined community. The test was administered by trained public health nurses. At the end of the 1980-1981 school year, all 163 kindergarten teachers in the area completed a rating form for each child in their class. The rating form determined global ratings of: 1) learning abilities; 2) classroom behavior; 3) amount of special attention required; and 4) referrals to special education services outside the classroom. The specificity of the DDST in predicting kindergarten teacher ratings was 99 per cent for all areas. Test sensitivity varied from 5 per cent to 10 per cent in detecting problems in the four areas. The predictive values of an positive test varied from 31 per cent for behavior problems to 62 per cent for extra attention required in the classroom. Negative test predictive values varied from 79 per cent to 93 per cent. These results based on kindergarten teacher ratings suggest that, because of the low sensitivity and modest predictive value, the DDST may be relatively inefficient to use in a school entry screening program in a general community population of children.
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http://dx.doi.org/10.2105/ajph.74.10.1093 | DOI Listing |
Indian J Med Res
November 2024
Department of Health Research, Indian Council of Medical Research, New Delhi, India.
Background & objectives Dengue virus causes frequent outbreaks and epidemics with high morbidity and mortality. It is important to monitor the trends of the dengue virus and its serotypes. We carried out the present work to study the prevalence of the dengue virus and its serotypes in clinically suspected cases of dengue in Rajasthan.
View Article and Find Full Text PDFJ Natl Cancer Cent
December 2024
Office for Cancer Registry, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Background: The burden of breast cancer in women of different menopausal status has not been assessed in China previously. We aim to evaluate and project the burden of breast cancer in different menopausal status in China.
Methods: The incidence and mortality of breast cancer were estimated using the data of 554 cancer registries in 2017 and the trends of incidence and mortality of 112 cancer registries from 2010 to 2017.
ACS Cent Sci
December 2024
Organic Bioelectronics Laboratory, Biological and Environmental Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
Electron transporting (n-type) polymeric mixed conductors are an exciting class of materials for devices with aqueous electrolyte interfaces, such as bioelectronic sensors, actuators, and soft charge storage systems. However, their charge transport performance falls short of their p-type counterparts, primarily due to electrochemical side reactions such as the oxygen reduction reaction (ORR). To mitigate ORR, a common strategy in n-type organic semiconductor design focuses on lowering the lowest unoccupied molecular orbital (LUMO) level.
View Article and Find Full Text PDFHastings Cent Rep
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Genomics holds significant potential for conservationists, offering tools to monitor species risks, enhance conservation strategies, envision biodiverse futures, and advance climate justice. However, integrating genomics into conservation requires careful consideration of its impacts on biodiversity, the diversity of scientific researchers, and governance strategies for data usage. These factors must be balanced with the varied interests of affected communities and environmental concerns.
View Article and Find Full Text PDFHastings Cent Rep
December 2024
The promise of genomic medicine lies in the opportunity to improve health outcomes via a personalized approach to management, grounded in genetic and genomic variation unique to an individual. However, disparities and inequities mar this remarkable landscape of genomic innovation. Prior efforts to understand these inequities have focused on populations for which genetic testing is relatively protocolized or where test utility varies greatly by ancestry groups, where equitable outcomes are more clearly defined.
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