Feasibility, reliability, and validity of a smartphone based application for the assessment of cognitive function in the elderly.

While considerable knowledge has been gained through the use of established cognitive and motor assessment tools, there is a considerable interest and need for the development of a battery of reliable and validated assessment tools that provide real-time and remote analysis of cognitive and motor function in the elderly. Smartphones appear to be an obvious choice for the development of these "next-generation" assessment tools for geriatric research, although to date no studies have reported on the use of smartphone-based applications for the study of cognition in the elderly. The primary focus of the current study was to assess the feasibility, reliability, and validity of a smartphone-based application for the assessment of cognitive function in the elderly.

Steps per day, peak cadence, body mass index, and age in community-dwelling older adults.

Purpose: The relationships between demographic and anthropometric indices and older adults' quantity and quality of ambulatory activity are uncertain. We examined the relationship between accelerometer-determined steps per day (quantity) and peak 30-min cadence (quality; mean steps per minute recorded for the 30 highest, but not necessarily consecutive, minutes in a day) in community-dwelling older adults relative to sex, age, and body mass index (BMI).

Methods: Minute-by-minute accelerometer-determined step data for 5.