- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03342924
Associations of Cognition, Fitness, and Body Composition Among Ethnic Minority Youth
November 14, 2017 updated by: Arlette Perry, University of Miami
Cognitive Control is crucial for learning and development.
This study examined the associations between cognitive control and physical fitness and body composition among ethnic minority children.
Study Overview
Status
Completed
Conditions
Intervention / Treatment
Detailed Description
Cognitive control, or executive function, refers to a subset of goal-directed processes that are involved in perception, memory, attention, behavioral inhibition, verbal reasoning, and monitoring of actions.
These aspects of cognitive control have been shown to have a direct association with academic performance, particularly mathematics and literacy.
Many social and environmental factors impact the maturation of cognitive control, which can affect the growth and behavioral development of children.
Physical activity has been shown to improve the functioning of the prefrontal cortex, which plays a central role in cognitive functioning.
Studies have shown that children have better cognitive skills and grades when given a regimen of regular physical activity as well as executive control.
Aerobic fitness has been correlated with faster reaction times as well as more accurate responses and higher prefrontal brain activity, which can enhance visuomotor function and proactive inhibition.
In addition to positive health benefits, physical fitness, a product of the regular physical activity, is found to be positively associated with self-esteem, academic performance, and cognitive control.
Growing evidence suggests that cognitive control may be inversely associated with obesity in childhood, adulthood, and in the elderly.
The current rate of childhood obesity in the U.S. is 31.8% with poor physical fitness levels and increased sedentary behaviors as major contributors to the problem.
Pediatric obesity may have negative implications on cognition, specifically memory, psychomotor speed, reaction time, complex attention, executive function and cognitive flexibility with a potential for decreased awareness or motivation in girls specifically.
Overweight, inactive children, when compared to normal weight, active children, have exhibited lower planning and attention scores with detrimental effects on inhibitory control and psychosocial outcomes among girls ages nine to fifteen While new information continues to support the negative association between obesity and cognitive function, the direction of the relationship remains unclear.
The extant literature also suggests that there is an inverse relationship between socioeconomic status and obesity and cognition.
A recent study supported the influence of BMI on child executive control and BMI's inverse correlation with income, academic readiness, social competence and behavioral adjustment.
Another study showed that white non-Hispanic and Hispanic children in fifth and seventh grades with lower socioeconomic status had a higher rate of obesity with inverse relationship most apparent in White non-Hispanic girls and fifth-grade Hispanic boys.
A negative association has been observed between obesity and pattern construction in boys and vocabulary and pattern construction in girls.
While there have been cross-sectional and randomized clinical trial studies correlating obesity and fitness with cognitive control, these studies fail to evaluate diverse racial/ethnic minority populations.
Incorporating minority groups and gender differences into these associations are very important in generalizing findings to diverse demographics.
Given the paucity of research examining the cumulative impact of obesity and physical fitness on cognition among diverse children, this study seeks to address gaps in the literature.
This study utilized a comprehensive field test battery to evaluate associations among body composition, cardiovascular endurance, muscular strength and endurance, and motor skills, on executive control with gender, age, and race/ethnicity as mediators.
This study is particularly relevant for Hispanic and African-American youth who show high rates of overweight and obesity
Study Type
Interventional
Enrollment (Actual)
212
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Locations
-
-
Tennessee
-
Memphis, Tennessee, United States, 38103
- Le Bonheur
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
8 years to 12 years (Child)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Description
Inclusion Criteria:
- Children were included in the study if they were: eight to 12 years old, and ethnic minority (Black and/or Hispanic/Latino), enrolled in YMCA after-school programs, able to engage in physical activities, had normal (or corrected to normal) vision based on the minimal 20/20 standard. Also, only children who were determined to be at Tanner Stages 1 or 2 (preadolescence) were included to account for the impact of puberty on measures of physical fitness and cognition.
Exclusion Criteria:
- Children who had prior or current metabolic, cardiovascular, or neurological disorders, and/or medication regimens that could interfere with evaluation of cognitive function were excluded from the study.
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
Experimental: Flanker test and physical fitness test
Participants performed a computer-based Flanker Task measuring cognitive control and physical fitness tests: two-minute walk, vertical jump, one-minute curl-ups, and handgrip strength.
Body composition variables included: body mass index, percent body fat, waist circumference, and sagittal abdominal height.
General linear models were performed to evaluate impacts of physical fitness and body composition on cognition, adjusting for age and sex.
|
Socioeconomic status was determined using a trichotomous index.
Inbody was used to assess body composition.
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality.
Cognitive control was assessed using a computer-based Flanker Task.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Cognition
Time Frame: 8 weeks
|
Cognitive control was assessed using a computer-based Flanker Task.
|
8 weeks
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Socioeconomic Status
Time Frame: 8 weeks
|
Socioeconomic status was determined using a trichotomous index developed by Birnbaum et al. 2002 based on participation in free or reduced-price lunch program at school, the highest level of education attained by the mother and father, and the number of parents who worked full-time.
|
8 weeks
|
Aerobic Endurance
Time Frame: 8 weeks
|
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality.
The NIH Toolbox two-minute Walk Endurance test was used to assess aerobic endurance.
|
8 weeks
|
Arm Strength
Time Frame: 8 weeks
|
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality..
A Jamar Plus handgrip dynamometer was used to assess right and left arm strength (kg).
|
8 weeks
|
Lower Body Power
Time Frame: 8 weeks
|
To assess physical fitness, certain field tests were implemented using devices to quantify precise actions of physicality.
To assess lower body power, a counter movement vertical jump was used.
|
8 weeks
|
Weight
Time Frame: 8 weeks
|
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition.
Information recorded included body weight, which was measured in pounds.
|
8 weeks
|
Waist Circumference
Time Frame: 8 weeks
|
Waist circumference was used as a determinant of central obesity and was measured in centimeters using a Gulick spring loaded measuring tape.
|
8 weeks
|
Sagittal Abdominal Height
Time Frame: 8 weeks
|
A portable anthropometer was used to measure sagittal abdominal height in centimeters as an indirect measure of visceral adiposity.
|
8 weeks
|
Percent Body Fat
Time Frame: 8 weeks
|
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition.
Information recorded included percent body fat.
|
8 weeks
|
Body Mass Index
Time Frame: 8 weeks
|
The Inbody-520 multi-frequency bioimpedance analyzer was used to assess body composition.
Information recorded included Body Mass Index.
|
8 weeks
|
Height
Time Frame: 8 weeks
|
Height was measured using a Weigh Beam Eye-Level physicians' scale
|
8 weeks
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Sponsor
Collaborators
Investigators
- Principal Investigator: Brian Anwari, University of Miami
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
June 1, 2014
Primary Completion (Actual)
June 1, 2014
Study Completion (Actual)
June 1, 2014
Study Registration Dates
First Submitted
July 13, 2017
First Submitted That Met QC Criteria
November 14, 2017
First Posted (Actual)
November 17, 2017
Study Record Updates
Last Update Posted (Actual)
November 17, 2017
Last Update Submitted That Met QC Criteria
November 14, 2017
Last Verified
November 1, 2017
More Information
Terms related to this study
Keywords
Other Study ID Numbers
- 20120584
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
No
IPD Plan Description
Only the study investigators and/or sponsor will monitor the plan for data and safety monitoring for this study.
Shared data will be done through encrypted files and file management platform OneDrive.
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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