Purpose-To provide information on the actual use of medicines in a general population sample.Methods-Information was collected in a general population sample of North Italy (1946 subjects; 938 males, 1008 females) by an interviewer-administered questionnaire.Results-Of the subjects 25.9% took habitually at least one medicine, whereas 11.1% used medicaments only occasionally. The use of medicines was significantly higher in females than in males (p < 0.001), but only in 15-44-year-old females, because of the use of oral contraceptives. The use of medicines increased with ageing (OR=1.80, p < 0.001). The highest use of habitual medicaments was found in subjects of 55+ years of both sexes. In both sexes, the medicines classified in the cardiovascular therapeutic group were the most frequently used. The use of gastrointestinal and cardiovascular medicines was significantly higher in males than in females (p < 0.001). In males, the use of habitual medicines was significantly (p < 0.001) higher in current smokers and ex-smokers than in never smokers. Only 23% of allergic subjects used antiallergic medicines, and only 35% of subjects with respiratory symptoms/diseases used medicines classified into the bronchopulmonary therapeutic group. The percentage of subjects who reported cardiovascular symptoms/diseases and used medicines classified in the cardiovascular therapeutic group was greater (62%).Conclusions-We stress the importance of data collection in general population samples by questionnaires to investigate the actual use of medicines. This may give a more accurate estimate of medicine use than is possible from pharmacy sales or hospital records. Copyright (c) 2000 John Wiley & Sons, Ltd.
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http://dx.doi.org/10.1002/1099-1557(200007/08)9:4<319::AID-PDS505>3.0.CO;2-6 | DOI Listing |
G3 (Bethesda)
January 2025
Infectious Disease Epidemiology and Analytics G5 Unit, Institut Pasteur, Université Paris Cité, Paris 75015, France.
Genetic studies of Plasmodium parasites increasingly feature relatedness estimates. However, various aspects of malaria parasite relatedness estimation are not fully understood. For example, relatedness estimates based on whole-genome-sequence (WGS) data often exceed those based on sparser data types.
View Article and Find Full Text PDFG3 (Bethesda)
January 2025
School of Life Sciences, Center for Evolution & Medicine, Arizona State University, Tempe, AZ 85281, USA.
The demographic history of a population, and the distribution of fitness effects (DFE) of newly arising mutations in functional genomic regions, are fundamental factors dictating both genetic variation and evolutionary trajectories. Although both demographic and DFE inference has been performed extensively in humans, these approaches have generally either been limited to simple demographic models involving a single population, or, where a complex population history has been inferred, without accounting for the potentially confounding effects of selection at linked sites. Taking advantage of the coding-sparse nature of the genome, we propose a 2-step approach in which coalescent simulations are first used to infer a complex multi-population demographic model, utilizing large non-functional regions that are likely free from the effects of background selection.
View Article and Find Full Text PDFBrief Bioinform
November 2024
Department of Dermatology, Daping Hospital, Army Medical University, No. 10, Changjiang Branch Road, Yuzhong District, Chongqing 400042, China.
Psoriasis affects a significant proportion of the worldwide population and causes an extremely heavy psychological and physical burden. The existing therapeutic schemes have many deficiencies such as limited efficacies and various side effects. Therefore, novel ways of treating psoriasis are urgently needed.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Clinical Psychology and Psychotherapy, Institute of Psychology and Education, Ulm University, Ulm, Germany.
Background: Unobtrusively collected objective sensor data from everyday devices like smartphones provide a novel paradigm to infer mental health symptoms. This process, called smart sensing, allows a fine-grained assessment of various features (eg, time spent at home based on the GPS sensor). Based on its prevalence and impact, depression is a promising target for smart sensing.
View Article and Find Full Text PDFMicrob Genom
January 2025
Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, Microbial Genome Research, Braunschweig, Germany.
Genomic data on from the African continent are currently lacking, resulting in the region being under-represented in global analyses of infection (CDI) epidemiology. For the first time in Nigeria, we utilized whole-genome sequencing and phylogenetic tools to compare isolates from diarrhoeic human patients (=142), livestock (=38), poultry manure (=5) and dogs (=9) in the same geographic area (Makurdi, north-central Nigeria) and relate them to the global population. In addition, selected isolates were tested for antimicrobial susceptibility (=33) and characterized by PCR ribotyping (=53).
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