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Personalizing self-care.

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S S Travis. Personalizing self-care.. https://doi.org/10.1016/s0197-4572(05)80247-2

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Hip fracture in elderly men: prognostic factors and outcomes.

OBJECTIVE: To examine prognostic factors and outcomes after hip fracture in men aged 60 years and older. DESIGN AND SETTING: Cohort study of all men presenting to St George Hospital (a 650-bed tertiary care centre) with hip fractures in 1995, recruited retrospectively from medical records and evaluated prospectively at six and 12 months after fracture. PATIENTS: 51 men aged 60 years or more (and, for comparison, 51 age-matched women) who presented with hip fracture not caused by high impact injuries or local bone disease. MAIN OUTCOME MEASURES: Prognostic factors (such as pre-existing illness and osteoporotic risk factors) and outcome data (such as fracture-related complications, mortality, and level of function as measured by the Barthel index of activities of daily living at six and 12 months postfracture). RESULTS: Median age of the 51 men was 80 years (interquartile range, 74-86 years); four were aged under 70 years. Outcome assessment was possible for 41 men (80%). Similar proportions of men and women came from institutions (32% v. 28%), and similar additional proportions required institutionalisation after discharge (18% v. 14%). Fracture-related complications affected similar proportions of men and women (30% v. 32%), and mean length of hospital stay was similar. Fourteen per cent of men died in hospital compared with only 6% of women (P = 0.06). Men had more risk factors for osteoporosis (P < 0.01). Physical functioning (measured by the Barthel index) deteriorated significantly in men from 14.9 at baseline to 13.4 at six months (P < 0.05) and 12.4 at 12 months (P < 0.05) after fracture. CONCLUSION: Compared with women, elderly men presenting with hip fracture have higher mortality and have more risk factors for osteoporosis. Like women with hip fracture, men are usually fragile, with pre-existing medical illness and fracture-related complications contributing to their overall poor outcomes.

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Validation of an automated up-timer for measurement of mobility in older adults.

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