As the physical consequences of accidental falls in the elderly are well-researched, the long-term associations between falls and quality of life and related concepts are less known. The aim of this study was to prospectively examine the long-term relations between falls and health-related quality of life (HRQoL) and life satisfaction (LS) over six years in the general elderly population. One thousand three hundred and twenty-one subjects (aged 60-93 years), from the general population in the south of Sweden, were included in a baseline assessment and a follow-up after six years. HRQoL was measured with the SF-12 and LS with the life satisfaction index A (LSI-A). The differences in mean scores between fallers at baseline (n=113) and non-fallers were statistical analyzed. Furthermore, the prediction of falls on the outcomes was analyzed using a multivariate linear regression model adjusted for multiple confounding factors. Fallers scored significant lower in HRQoL and LS at baseline and after six years, compared to non-fallers, especially in the SF-12 physical component (p=<0.001). In the linear regression analysis, one or more falls at the baseline predicted a significant reduction in the SF-12 physical component at the follow-up assessment (B-Coefficient -1.8, 95% CI -3.4 to -0.2). In conclusion, falls predict a long-term reduction in the physical component of HRQoL in the general elderly population. Over six years, fallers had a notable chronic lowered score in both HRQoL and LS, compared to non-fallers. This long-term depression of elderly fallers in these aspects may be more extent than previous assumed.

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BackgroundAccidental falls in the elderly are a major health problem, despite extensive research on risk factors and prevention. Only a limited number of multifactorial, long-term prospective studies have been performed on risk factors for falls in the general elderly population. The aim of this study was to identify risk factors predicting falls in a general elderly population after three and six years, using a prospective design.MethodsThe prevalence of 38 risk factors was recorded at a baseline assessment of 1763 subjects (aged 60–93 years). The incidence of one or more falls was recorded after three and six years. The predicted risk of falling, after exposure to the various risk factors, was analysed in a multiple logistic regression model, adjusted for age and sex, and presented as odds ratios (OR). A principal component analysis (PCA), including the statistical significant factors, was also performed to identify thematic, uncorrelated components associated with falls.ResultsThe use of neuroleptics (OR 3.30, 95% CI: 1.15–9.43), heart failure with symptoms (OR 1.88, 95% CI: 1.17–3.04) and low walking speed (OR 1.77, 95% CI: 1.28–2.46) were prominent individual risk factors for falls. In the PCA, three main components predicting falls were identified: reduced mobility, OR 2.12 (95% CI 1.54–2.91), heart dysfunction, OR 1.66 (95% CI 1.26–2.20) and functional impairment including nocturia, OR 1.38 (95% CI 1.01-1.88).ConclusionsThree main components predicting falls were identified in a general elderly population after three and six years: reduced mobility, heart dysfunction and functional impairment including nocturia. The use of neuroleptic drugs was also a prominent individual risk factor, although the prevalence was low. Heart failure with symptoms was a significant risk factor for falls and may be of clinical importance as the prevalence of this condition in the elderly is increasing worldwide. There is need for further research on the relation between heart failure and falls in the elderly, as the treatment for this condition is poorly documented in this demographic. The findings of this study may be valuable in the development of intervention programmes aimed at sustainable, long-term reduction of falls in the elderly.

This study provides new knowledge on factors associated with LS in a PD sample, including those with late-stage PD. As the ultimate goal for PD care should be improvement in LS, the results have direct clinical implication.