The AIMM Young study is a collaboration between Children's National Medical Center (CNMC) and colleges/universities nationwide--currently including Howard University (HU), East Carolina University (ECU), and University of Massachusetts, Amherst (U Mass). This study obtains a variety of baseline measures (such as serum biomarkers related to metabolic syndrome, anthropometrics, muscle strength, and fitness testing) along with genetic information from healthy college-age (18-35 years) young adults in efforts to identify phenotype-genotype associations that may predispose individuals to developing metabolic syndrome, type 2 diabetes, and/or related diseases such as obesity. We hypothesized that certain genetic variations will be protective against metabolic syndrome, while others will show a strong correlation with specific components of metabolic syndrome disease. We expect that the study of "pre-symptomatic," young individuals will facilitate the identification of genetic risk loci for metabolic syndrome and type 2 diabetes. Younger populations typically have less confounding variables, and this facilitates normalizing of metabolic syndrome features and environment/lifestyle. Additionally, young subjects can provide more robust longitudinal data, and be recruited into subsequent interventions to reverse the trend towards metabolic syndrome, rather than the more difficult task of reversing type 2 diabetes in older populations. The data collected will be stratified according to gender, age, ethnicity, genotype, and other phenotypic measures to determine how these factors influence disease risk.
Study Type
OBSERVATIONAL
Enrollment
700
Children's National Medical Center
Washington D.C., District of Columbia, United States
Genotype for specific genes related to obesity, metabolic syndrome, and/or type 2 diabetes; Fasting serum biomarkers; Hand grip strength, muscle strength of upper and lower extremities; Fitness measurements; Body composition measures
Time frame: Cross-sectional, one-time measure
Perception of physical fitness; Relationship between physiological measures and genotype variation
Time frame: Cross-sectional, one-time
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