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  • Author: Jeffer Eidi Sasaki x
  • Psychology and Behavior in Sport/Exercise x
  • Sport and Exercise Science/Kinesiology x
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Joilson Meneguci, Jeffer Eidi Sasaki, Alvaro Santos, Lucia Marina Scatena and Renata Damião

Background:

Quality of life is influenced by several factors and one aspect that has been negatively associated with health is sedentary behavior. Thus, the purpose of this study was to investigate the association between sitting time and quality of life in older adults.

Methods:

This was a cross-sectional study conducted with individuals ≥60 years old residing in 24 Brazilian municipalities. Total sitting time was evaluated according to self-report of sitting time on a regular weekday and usual weekend day. The quality of life was evaluated by the WHOQOL-BREF and WHOQOL-OLD instruments.

Results:

3206 older adults were analyzed. In the univariate logistic regression analysis, all domain and facets of quality of life were associated to the longest sitting time; however, in the multivariate analysis, only the physical domain and the social participation facet remained significant in the model. After adjustment for sex, age group, education and regular practice of physical activity, longest sitting time remained associated with the lowest score for the physical domain (OR = 1.80; 95% CI: 1.39–2.34) and social participation facet (OR = 1.42; 95% CI: 1.10–1.84).

Conclusions:

In this study, older adults who sat the most presented the worst scores in the physical domain and social participation facet of quality of life.

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Jeffer Eidi Sasaki, Amanda Hickey, Marianna Mavilia, Jacquelynne Tedesco, Dinesh John, Sarah Kozey Keadle and Patty S. Freedson

Objective:

The purpose of this study was to examine the accuracy of the Fitbit wireless activity tracker in assessing energy expenditure (EE) for different activities.

Methods:

Twenty participants (10 males, 10 females) wore the Fitbit Classic wireless activity tracker on the hip and the Oxycon Mobile portable metabolic system (criterion). Participants performed walking and running trials on a treadmill and a simulated free-living activity routine. Paired t tests were used to test for differences between estimated (Fitbit) and criterion (Oxycon) kcals for each of the activities.

Results:

Mean bias for estimated energy expenditure for all activities was −4.5 ± 1.0 kcals/6 min (95% limits of agreement: −25.2 to 15.8 kcals/6 min). The Fitbit significantly underestimated EE for cycling, laundry, raking, treadmill (TM) 3 mph at 5% grade, ascent/descent stairs, and TM 4 mph at 5% grade, and significantly overestimated EE for carrying groceries. Energy expenditure estimated by the Fitbit was not significantly different than EE calculated from the Oxycon Mobile for 9 activities.

Conclusion:

The Fitbit worn on the hip significantly underestimates EE of activities. The variability in underestimation of EE for the different activities may be problematic for weight loss management applications since accurate EE estimates are important for tracking/monitoring energy deficit.

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Thais R.S. Paulo, Sheilla Tribess, Jeffer Eidi Sasaki, Joilson Meneguci, Cristiane A. Martins, Ismael F. Freitas Jr., Vicente Romo-Perez and Jair S. Virtuoso Jr.

The aim of this study was to examine the association of physical activity with depression and cognition deficit, separately and combined, in Brazilian older adults. We analyzed data from 622 older adults. Physical activity was assessed using the International Physical Activity Questionnaire. Depressive symptoms were assessed using the Geriatric Depression Scale, while cognitive deficit was assessed using the Mini-Mental State Examination. Multinomial logistic regressions were used to assess associations of depression and cognitive deficit with sociodemographic, health, and behavioral variables. Prevalence of physical inactivity (< 150 min of moderate-to-vigorous physical activity/week), depression, and cognitive deficit were 35.7%, 37.4%, and 16.7%. Physical inactivity was associated with depression (OR: 1.83, 95% CI: 1.14–2.94) and with depression and cognitive deficit combined (OR: 4.23, 95% CI: 2.01–8.91). Physically inactive participants were also more likely to present limitations in orientation and language functions. Physical inactivity was associated with depression and also with depression and cognitive deficit combined in older adults.

Open access

Jeffer Eidi Sasaki, Cheryl A. Howe, Dinesh John, Amanda Hickey, Jeremy Steeves, Scott Conger, Kate Lyden, Sarah Kozey-Keadle, Sarah Burkart, Sofiya Alhassan, David Bassett Jr and Patty S. Freedson

Background:

Thirty-five percent of the activities assigned MET values in the Compendium of Energy Expenditures for Youth were obtained from direct measurement of energy expenditure (EE). The aim of this study was to provide directly measured EE for several different activities in youth.

Methods:

Resting metabolic rate (RMR) of 178 youths (80 females, 98 males) was first measured. Participants then performed structured activity bouts while wearing a portable metabolic system to directly measure EE. Steady-state oxygen consumption data were used to compute activity METstandard (activity VO2/3.5) and METmeasured (activity VO2/measured RMR) for the different activities.

Results:

Rates of EE were measured for 70 different activities and ranged from 1.9 to 12.0 METstandard and 1.5 to 10.0 METmeasured.

Conclusion:

This study provides directly measured energy cost values for 70 activities in children and adolescents. It contributes empirical data to support the expansion of the Compendium of Energy Expenditures for Youth.