Validação de método para mensuração do comportamento sedentário em pessoas idosas

Abstract

The contingent of studies on sedentary behavior (SB) and the health of the elderly have gained great proportions in the last decade. With the emergence of new technologies, the exposure of this age group to SB has increased, causing damage to the health of the elderly. Therefore, the measurement of such behavior becomes important for public health. Thus, the present study had as objectives: a) to carry out an integrative review on the methodological aspects of the accelerometer, an objective measure used to measure SB; and b) to adapt and validate the "Measure of Older Adults Sedentary Time" (MOST) questionnaire in Brazilian elderly. Initially, a literature review of studies related to the use of accelerometers to measure SB CS in the elderly population was carried out, focusing on the description of the methodological aspects, in order to better understand their use. The MOST adaptation and validation process followed criteria for clarity, content validity and concurrency. After obtaining the adapted final version, MOST was applied in 57 elderly subjects (68.7 ± 3.47 years), in test and retest, along with the use of ActiGraph accelerator, wGT3X-BT for seven days. The adapted MOST presented content indexes (ICV) of 100% and clarity (CI) of 98.2%. The intraclass correlation index (CCI) was 0.72 (95% CI: 0.56-082) for the total time in SB by MOST. Correlations were regular for MOST and accelerometer (r = 0.37) and between MOST test and retest (r = 0.24), however it was significant only between MOST and accelerometer. The Bland-Altman graphs indicated an underestimation trend in MOST compared to the accelerometer, with a measurement bias of -1101.4 min/wk (1129.0; 3331.8 min/wk). The mean time in SB of the MOST and accelerometer were 2291.4 ± 173.7 and 3515.6 ± 505.5 min/wk, respectively. Therefore, the adapted MOST becomes available to measure the time spent in SB in Brazilian elderly, collaborating to the development of future research obtaining data important for public health.