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

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.

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

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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