Risk Reduction Behavior Clinical Trial
Official title:
The Effects of Shifting Sedentary Behaviors to Light Activities on Energy Expenditure: A Randomized Controlled Trial in Sedentary Adults
The main purposes of this randomized cross-over trial are to test if a 3h/day reduction of time spent in sedentary behaviour (SB) through breaking up hourly and shifting it for standing and walking behaviours would substantially increase total (TEE) and PA energy expenditure (PAEE) compared to a week of habitual prolonged SB, in male and female overweight/obese inactive (which do not attained MVPA recommendations) and sedentary desk workers. Specifically using an experiment design our main aims are: a) to determine the impact of reducing SB on TEE and PAEE; b) to analyse the independent effects of interrupting SB through breaks and the overall reduction in SB on TEE and PAEE; c) To analyse the determinants for the overall reduction in SB; d) If the changes occurred in TEE and PAEE were dependent on specific covariates.
There is enough information about exercise physiology to support the well-documented public
health guidelines promoting at least 150 minutes of moderate-to vigorous physical activity
(MVPA)(1). However there is an emergence of inactivity physiology studies. If we divide a
day into periods of MVPA, light intensity PA (LIPA), sedentary behavior and sleep we observe
a large proportion of the time taken up by time spent sitting, such as TV viewing, car
driving and computer use. In fact, evidence exists that excessive time spent in sedentary
behavior (SB) is a health risk that is not mitigated by performing half an hour of MVPA per
day (2, 3). Life expectancy at birth may increase by ~2y if SB is reduced to <3h/day (4)
whereas prospective associations exist between SB with mortality and morbidity (2, 3). Short
term experimental studies indicate that physical inactivity affects energy balance and is
considered conducive to weight gain (5, 6). A decrease in PA has a considerable ability to
decrease total energy expenditure (TEE) without any compensatory changes in energy intake,
which generate a positive energy balance. The extent to which reducing and breaking up SB
over sustained periods of time considerably increases TEE has never been investigated under
free-living conditions.
Our hypothesis are that, a daily 3h reduction of SB during 1-week, either by increasing the
number of breaks and by shifting SB to low intensity physical activity (LIPA), mainly
through standing and walking activities, would substantially increase physical activity
energy expenditure (PAEE) in male and female overweight/obese inactive computer desk workers
compared to 1-week of usual prolonged SB. Prior to intervention, number of steps/day and PA
were assessed through the use of a pedometer and accelerometer to respectively identify the
habitual daily steps and to assure participants are inactive (<30 min/day of MVPA and ~ 5000
steps/day). Eligible participants were enrolled in a crossover experiment with two
conditions performed in a random order: intervention (3h-reduction in SB) and control
(habitual SB), both under free-living conditions. Each condition last for 1 week and
participants were instructed to keep the same eating patterns while wearing an
accelerometer, pedometer, a combined accelerometer and heart rate device, and an
inclinometer (activpal). Doubly labeled water (DLW) was administered in both conditions to
assess TEE, indirect calorimetry was employed to measure resting energy expenditure (REE),
and PAEE subtracted from the sum of REE and thermogenic effect of food (assumed as 10% of
TEE). Body composition was assessed at baseline and in the last day of the intervention week
with DXA and participants wore the devices 24 hours a day during the two weeks and did the
food records in three days in each week. In practice, at the workplace, our intervention to
reduce SB include a software that hourly alert the participants to break up SB for
approximately 7 minutes through adopting walking behaviors (~30-60 minutes/day) while during
transportation, home/domestic, and leisure time contexts, an individual goal for number of
steps/day was set based on an expected step cadence for ambulatory activities (~90-120
minutes/day). Also a number of strategies to break up SB were transmitted to the
participants in the several contexts for accomplishing their goals.
At the workplace, daily breaks were automatically generated and registered through the
software. Daily adherence in breaking up SB was supervised using phone calls during the day
as well as compliance with the individual steps/day goal, self-registered in a diary at the
end of the day. During the control week, supervision was performed to assure that
participants remained inactive with a similar SB and number of steps/day, as observed at
baseline.
During the trial, a 3-day food intake record was collected and analyzed at each condition.
We anticipate that by using objective measures of transitions from sitting to standing and
stepping, we will provide important methodological information, as sedentary time comprises
a large proportion of waking hours and small changes may go undetected using self-report SB.
A unique aspect of the present study is the utilization of state of-the-art technologies to
investigate differences in daily EE and activity patterns in overweight/obese individuals.
The results of this project may have remarkable public health relevance. Most of the
population weight gain in the past could have been avoided if a negative energy balance of
100 Kcal/day was achieved. We expect that our findings reveal a meaningful difference in
energy expenditure by breaking up SB. We anticipated a public health message emphasizing
"standing and walking more" as a simple approach to prevent weight gain and the rise of
obesity in developed countries. This project may also contribute to disclose innovative
energy balance -based methodologies for designing long-term intervention studies examining
the effect of breaking up sedentary time on health-related parameters.
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Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Crossover Assignment, Masking: Open Label, Primary Purpose: Basic Science
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