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Effect of Changing Sedentary Behavior in Youth

Effect of Changing Sedentary Behavior in Youth

Status
Completed
Phases
NA
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT00962247
Acronym
Effects
Enrollment
61
Registered
2009-08-19
Start date
2006-07-31
Completion date
2008-12-31
Last updated
2019-06-19

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Obesity

Keywords

physical activity, relative reinforcing value, sedentary behavior, obesity

Brief summary

The primary aim is to examine how reduction in sedentary behaviors influences physical activity and energy intake.

Detailed description

Many youth find television, videos and computer games to be very reinforcing, and they choose to be sedentary rather than physically active. Sedentary behaviors can influence energy balance and body weight by reducing physical activity and increasing energy intake. Research from our laboratory has shown that reducing sedentary behavior can increase physical activity and decrease energy intake, but there is substantial variability in the response of youth to reductions in sedentary behavior. The present proposal is designed to extend our research and explore theoretical models that may help understand why youth vary in their response to increase physical activity when targeted sedentary behaviors are reduced. We hypothesize that the increase in physical activity when sedentary behaviors are reduced is related to the relative reinforcing value (RRV) of physical activity to sedentary behaviors. The RRV of physical activity is a measure of the motivation to be active in youth, and overweight youth who are inactive find physical activity relatively less reinforcing than less overweight youth. We predict that RRV of physical activity will be positively related to the substitution of total physical activity and physical activity in the moderate to vigorous intensity range for sedentary behaviors when targeted sedentary behaviors are reduced. To test this hypothesis, we will study 60 overweight and at risk for overweight 8-12 year-old youth who differ in the RRV of physical activity to sedentary behavior, with equal numbers of boys and girls, in 3 phases: baseline, and reduce television watching from baseline by 25 percent and 50 percent. Each phase will be implemented for three weeks. Order of experimental phases will be counterbalanced across subjects. It is also predicted that reducing sedentary behavior will reduce energy intake and dietary fat intake, and the reduction in energy intake will be greatest for youth with stronger association between eating with television watching and other targeted sedentary behaviors. Liking and outcome expectancy of physical activity will be studied as additional predictors of substitution of physical activity for reductions in sedentary behaviors. Developing a better understanding of why obese youth increase physical activity or decrease energy intake when sedentary behaviors are reduced is important for the treatment of pediatric obesity.

Interventions

DEVICETelevision reduction device

A TV allowance helps turn off the television when the time limits have been met.

Sponsors

Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD)
CollaboratorNIH
State University of New York at Buffalo
Lead SponsorOTHER

Study design

Intervention model
SEQUENTIAL
Primary purpose
OTHER
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
8 Years to 12 Years
Healthy volunteers
Yes

Inclusion criteria

* above the 85th BMI percentile * reside in one primary household * engage in at least 18 hours of sedentary behavior a week

Exclusion criteria

* none

Design outcomes

Primary

MeasureTime frameDescription
Physical Activity3 daysActigraph activity monitors were used to record physical activity over 3 days, in addition to a weekly physical activity diary. Acti-graph counts were used to estimate energy expenditure during waking hours. Counts per minute describes the average rate of counts, with 0 being at rest and higher numbers indicating more vigorous physical activity.

Secondary

MeasureTime frameDescription
Energy Intake3 daysResting metabolic rate was calculated using the activity data from accelerometer (Actigraph) collection. Resting metabolic rate was used to calculate estimated daily energy expenditure. Daily energy expenditure and weight change over the study period was used to estimate energy intake. If weight was stable of the nine weeks, assume energy intake = energy expenditure. A gain of a pound was estimated as equivalent to a positive balance of 3500 calories and a loss of a pound was estimated as equivalent to a negative balance of 3500 calories.

Countries

United States

Participant flow

Recruitment details

Families were recruited from the Buffalo NY area. 460 families were interested in screening for the study with 271 ineligible families, 4 families who were no longer interested and 28 families who withdrew from phone screen, for a total of 157 families eligible for an orientation appointment.

Pre-assignment details

Prior to enrolling in the protocol, families completed an orientation, at which eligibility and interest were assessed. Families who enrolled, first completed three weeks of monitoring on the Television reduction device to determine eligibility (at least 18 hours/week of screen use) and compliance with physical activity accelerometer use.

Participants by arm

ArmCount
Usual Sedentary
Children were asked to maintain their usual targeted sedentary behaviors (TV, video game, computer use) measured by a television reduction device (TV Allowance)
56
Total56

Withdrawals & dropouts

PeriodReasonFG000
25% Reduction of Sedentary ActivityProtocol Violation4
25% Reduction of Sedentary ActivityWithdrawal by Subject1

Baseline characteristics

CharacteristicUsual Sedentary
Age, Continuous10.7 Years
STANDARD_DEVIATION 1.2
Body Mass Index25.0 kg/m^2
STANDARD_DEVIATION 4.2
Ethnicity (NIH/OMB)
Hispanic or Latino
3 Participants
Ethnicity (NIH/OMB)
Not Hispanic or Latino
52 Participants
Ethnicity (NIH/OMB)
Unknown or Not Reported
1 Participants
Height57.4 Inches
STANDARD_DEVIATION 3.7
Race (NIH/OMB)
American Indian or Alaska Native
0 Participants
Race (NIH/OMB)
Asian
0 Participants
Race (NIH/OMB)
Black or African American
6 Participants
Race (NIH/OMB)
More than one race
8 Participants
Race (NIH/OMB)
Native Hawaiian or Other Pacific Islander
0 Participants
Race (NIH/OMB)
Unknown or Not Reported
0 Participants
Race (NIH/OMB)
White
42 Participants
Sex: Female, Male
Female
29 Participants
Sex: Female, Male
Male
27 Participants
Weight118.8 lbs
STANDARD_DEVIATION 30.5
zBMI1.8 z-score
STANDARD_DEVIATION 0.4

Adverse events

Event typeEG000
affected / at risk
deaths
Total, all-cause mortality
0 / 61
other
Total, other adverse events
0 / 61
serious
Total, serious adverse events
0 / 61

Outcome results

Primary

Physical Activity

Actigraph activity monitors were used to record physical activity over 3 days, in addition to a weekly physical activity diary. Acti-graph counts were used to estimate energy expenditure during waking hours. Counts per minute describes the average rate of counts, with 0 being at rest and higher numbers indicating more vigorous physical activity.

Time frame: 3 days

ArmMeasureValue (MEAN)Dispersion
Usual SedentaryPhysical Activity576.9 counts/minute of physical activityStandard Error 23.8
25% Sedentary ReductionPhysical Activity572.4 counts/minute of physical activityStandard Error 25.6
50% Sedentary ReductionPhysical Activity555.7 counts/minute of physical activityStandard Error 24.3
Secondary

Energy Intake

Resting metabolic rate was calculated using the activity data from accelerometer (Actigraph) collection. Resting metabolic rate was used to calculate estimated daily energy expenditure. Daily energy expenditure and weight change over the study period was used to estimate energy intake. If weight was stable of the nine weeks, assume energy intake = energy expenditure. A gain of a pound was estimated as equivalent to a positive balance of 3500 calories and a loss of a pound was estimated as equivalent to a negative balance of 3500 calories.

Time frame: 3 days

ArmMeasureValue (MEAN)Dispersion
Usual SedentaryEnergy Intake2106.4 calories/dayStandard Error 65.7
25% Sedentary ReductionEnergy Intake2173.5 calories/dayStandard Error 65.2
50% Sedentary ReductionEnergy Intake2144.3 calories/dayStandard Error 74.6

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026