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In the past decade epidemiologic and clinical studies have described the prevalence and incidence of disability and have elucidated demographic characteristics, health behaviors, diseases, and physiologic impairments that are associated with increased risk of developing disability in old age. Mobility disability has emerged as a critical aspect of functioning. Mobility, defined as the ability to move independently from one point to another, is a critical part of maintaining independence and an essential attribute of quality of life. In those age 85 years and older, nearly 60 percent of women and 40 percent of men have difficulty walking two to three blocks. Older people who are mobile are more likely to remain in the community, have lower rates of subsequent morbidity and mortality, and have higher quality of life. Recent work in biomechanics, clinical geriatrics, epidemiology, and clinical trials has helped to improve our understanding of the decline in walking ability in old age and the influence of multiple intrinsic and extrinsic factors. However, a great deal is still not understood about how older persons progressively lose the ability to ambulate. The InChianti Study has the potential to make major new advances in our knowledge of progressive decline in ambulation in older persons.
A great deal of information is available from the baseline evaluation in this study and the crosssectional analyses that can be done with these data will be very valuable. There are, however, limitations in what we can learn from cross-sectional data. The baseline data revealed many relationships between factors that were studied and disability, but there may be circularity in these relationships that cannot be sorted out if we only have cross-sectional data available. For example, abnormalities in certain biomarkers may be a cause of disability or may be caused by disability. Only by doing longitudinal analyses that begin with non-disabled persons can the temporal sequence be determined. Cross-sectional analyses only permit the study of factors that are currently related to disability while longitudinal analyses allow for the identification of subclinical markers of risk that predict future disability onset. There is therefore much to be gained by performing a follow-up evaluation of the cohort to obtain longitudinal data.
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Inclusion and exclusion criteria
Age 65 years and older
Must reside in Greve in Chianti or Bagno A Ripoli, Italy
Subjects with modertative cognitive problems will be included as long as the consent can be read and signed by by a first-degree relative of the participant or, in absence of first-degree relative, another relative living with or close to the participant
EXCLUSION CRITERIA:
Children
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