PubMed Health⌕ Search

Biomedical subjects

P Dietze

Publications and source records attributed to P Dietze.

6 recordsLinked to original sources

Associations between alcohol related hospital admissions and alcohol consumption in Victoria: influence of socio-demographic factors.

OBJECTIVE: To examine the cross-sectional ecologic associations between apparent per-capita alcohol consumption, alcohol-related hospital admission rates, and the distributions of socio-demographic factors for people residing in 76 Local Government Areas (LGAs) in Victoria, during the 1995-1996 fiscal year. METHOD: Visitor-adjusted per-capita alcohol consumption was obtained from wholesale sales data from the Liquor Licensing Commission Victoria. Alcohol-related hospital admission rates were extracted from the Victorian Inpatient Minimum Dataset, and adjusted by the appropriate aetiologic fractions. Summary socio-demographic measures were derived from the 1996 Census. Their associations were analysed using multiple linear regression. RESULTS: Per-capita alcohol consumption ranged from 4 to 14 litres absolute alcohol/year and alcohol-related hospital admission rates ranged from 5 to 25 per 10,000 residents/year (external-cause diagnoses) and 8-37 per 10,000 residents/year (disease diagnoses). Higher levels of per-capita consumption were associated with higher admission rates (r = 0.45 for external cause diagnoses, r = 0.66 for disease diagnoses, and r = 0.70 for all diagnoses), each per-capita increase of one litre/year corresponding to increased admission rates of 0.6, 1.5 and 2.1 per 10,000 person-years, respectively. Further adjustments by summary socio-demographic measures reduced, but did not modify, the associations between per-capita consumption and admission rates. CONCLUSIONS AND IMPLICATIONS: Summary measures of sales-based per-capita alcohol consumption and socio-demographic environments may provide useful indicators of alcohol-related morbidity in Victorian communities.

Alcohol Drinking↗

TRANSFAC, TRRD and COMPEL: towards a federated database system on transcriptional regulation.

Three databases that provide data on transcriptional regulation are described. TRANSFAC is a database on transcription factors and their DNA binding sites. TRRD (Transcription Regulatory Region Database) collects information about complete regulatory regions, their regulation properties and architecture. COMPEL comprises specific information on composite regulatory elements. Here, we describe the present status of these databases and the first steps towards their federation.

Animals↗

TRANSFAC retrieval program: a network model database of eukaryotic transcription regulating sequences and proteins.

DNA sequences that are involved in the control of gene expression in eukaryotes have been collected in conjunction with the proteins binding to and acting through them (TRANSFAC data set). To make these data accessible, the TRANSFAC retrieval program (TRP) has been developed as a database management system which is based upon the network model. This database model possesses particular advantages for data management of a complex structure. The aim of TRP is to provide an easily handled statistical basis for a computational approach to transcription control.

Amino Acid Sequence↗