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Centre for Policy on Ageing | |
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| Age-dependent physiological changes, medicines and sex-influenced types of falls | | Author(s) | Snezana Kusljic, Sachin Perera, Elizabeth Manias |
| Journal title | Experimental Aging Research, vol 44, no 3, May-June 2018 |
| Publisher | Taylor and Francis, May-June 2018 |
| Pages | pp 221-231 |
| Source | http://www.tandfonline.com |
| Keywords | Falls ; Drugs ; Health [elderly] ; In-patients ; Older men ; Older women ; Quantitative studies ; Australia. |
| Annotation | There is a lack of research investigating the impact of health status, gender, polypharmacy and ageing on different types of falls. Examples include: unspecified falls on the same level; mechanical falls on the same level relating to slipping, tripping or loosing balance; falls from a chair or vehicle; falls as a result of syncope; falls from steps or stairs; and falls from a height. The authors investigated various parameters relating to falls, including age-dependent physiological changes, regular medicine use and different types of falls experienced. The study included a random sample of 250 older patients, which comprised 10% of the total number of patients (n = 2,492), admitted to an Australian large-scale academic hospital following a fall. Patients' medicine and illness history, types of falls, and liver, renal and sensory function were collected. Univariate analysis was used to examine associations between the type of fall and explanatory variables, followed by multinominal logistic regression analysis. There was a significant association between the type of fall and gender, p = 0.01, and between the type of fall and regular medicine use, p = 0.002. The multinominal logistic regression analysis revealed that the full model, which considered all explanatory variables together, was statistically significant, p < 0.001. The strongest predictor of all types of falls except fall from a height, was female sex, followed by regular medicine use. Based on these findings, the medicine prescribing practice in this older population must be carefully reviewed. (RH). |
| Accession Number | CPA-190615212 A |
| Classmark | OLF: LLD: CC: LF7: BC: BD: 3DQ: 7YA |
Data © Centre for Policy on Ageing |
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| ...from the Ageinfo database published by Centre for Policy on Ageing. |
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