Healthy Aging Neighborhoods of Diversity across the Life Span (HANDLS)? NIA intramural investigators have expanded the program?s capacity to address hypotheses about aging and health disparities in minority and poor populations. By posing fundamental questions about differences in rates and risks for pathological conditions associated with aging, studying groups with diverse racial, ethnic, and economic origins, IRP clinical researchers hope to understand the significance of environmental and genetic risk factors for disease. The need to understand the driving factors behind persistent black-white health disparities in overall longevity, cardiovascular disease, and cerebrovascular disease led to the effort to develop and implement the NIA IRP Healthy Aging in Neighborhoods of Diversity Across the Life Span (HANDLS) study. HANDLS is a community-based, epidemiologically driven research effort designed to focus on evaluating health disparities in socioeconomically diverse African Americans and whites in Baltimore. This study is unique because it is a multidisciplinary project that assesses physical parameters as well as evaluating genetic, biologic, demographic, psychosocial, and psychophysiological parameters of Black and White participants in higher and lower socioeconomic status (SES) over a 20-year period. It also employs novel research tools, mobile medical research vehicles to improve participation rates and retention among non-traditional research participants. The initial examination and recruitment phase will take approximately 4 years to complete. The study data is being collected in two parts. The first part consists of an in-home interview that includes questionnaires about the participant?s health status, health service utilization, psychosocial factors, nutrition, neighborhood characteristics, and demographics. The second part is collected on the medical research vehicles and includes medical history and physical examination, dietary recall, cognitive evaluation, psychophysiology assessments including heart rate variability, arterial thickness, carotid ultrasonography, assessments of muscle strength and bone density, and laboratory measurements (blood chemistries, hematology, biomarkers of oxidative stress and biomaterials for genetic studies).? The baseline HANDLS sample will consist of approximately 4,000 community-dwelling African American and white adults aged 30-64. Participants are being drawn from 12 pre-determined census tracts in Baltimore City, sampling representatively across a wide range of socioeconomic and income circumstances. The heuristic study design is a factorial cross of four factors: age, sex, race, and SES with approximately equal numbers of subjects per ?cell.? HANDLS is planned as a 20-year longitudinal study. Using our mobile medical research vehicles, we will visit each census tract for 4 months and we will re-visit every census tract in a 3.5-year cycle. The 12 census tracts identified were selected because they are likely to yield representative distributions of individuals between 30 and 64 years old who are African Americans and whites, men and women, and are in lower and higher SES groups. Initial estimates based on the 2000 census data indicate that we will need to visit approximately 35% of the households in each census tract to collect the required 333 individuals. The initial sample of 4,000 participants is based on power analyses and assumptions about attrition over 20 years. For a power of 80%, we can identify moderate effects for various outcomes with as few as 30 participants per group at the end of the study. Working backwards by assuming 20% attrition after the baseline assessment and 15% attrition between subsequent assessments, we need approximately 4,000 participants at baseline to yield 1,680 after 20 years. The recruitment phase and initial examination will take approximately 4 years to complete. The study completed a pilot phase that was conducted in two waves (October 2000-December 2001 and February 2003-November 2003). The epidemiologic phase of the study began in August 2004 with a field based dress rehearsal in the South Baltimore area of the city. The full study began on November 1, 2004 in the Reservoir Hill area of Baltimore. Thus far, the study has recruited 1709 participants in the South Baltimore, Reservoir Hill, Cherry Hill, Govans, Forest Park, Highlandtown, and Morrell Park neighborhoods of Baltimore. Recruitment will continue for approximately 2 additional years to complete cohort recruitment.? Covariates ? Other variables such as nutrition, environment and neighborhood effects, genetic make-up, family history, activity level, access to health care, and prevalent medical, dental, psychiatric conditions, oxidative stress, and DNA repair capacity may modulate the effects of SES and race on cardiovascular, musculoskeletal, cognitive, and autonomic functioning. For example:? ? The nutritional domain of the study will examine the effects of race socioeconomic status (SES) on nutritional status and identify nutritional factors that may contribute to health disparity in cardiovascular and cerebrovascular health and cognitive function.? ? The biomarkers domain of the study will examine possible biologic covariates of health disparities and aging. The early appearance and increased severity of age-associated disease among African Americans and low SES individuals suggests that the factors contributing to the emergence of health disparities may also induce a phenotype of ?premature aging? or ?accelerated aging?. We hypothesize that in low SES populations with high rates of early onset age-associated disease the interaction of biologic, psychosocial, socioeconomic and environmental factors may result in a phenotype of accelerated aging biologically similar to these syndromes with increased susceptibility to oxidative stress, premature accumulation of oxidative DNA damage, defects in DNA repair and higher levels of biomarkers of oxidative stress. Health disparities therefore, may be the end product of this complex interaction in populations at high risk. HANDLS will examine this hypothesis by measuring biomarkers of oxidative stress, assessing levels of the most widely studied oxidative DNA adduct, and measuring DNA repair capacity in study participants. Prospectively measuring biomarkers of oxidative stress in a longitudinal study may clarify whether oxidative stress plays a pivotal role in aging and in the development and or progression of age associated disease. It may also provide insights into the different trajectories of aging observed in individuals.? ? The neighborhood environment covariate domain will permit us to examine within the urban context of Baltimore city the interrelation of the social and physical environment with health outcomes and health disparities. The design of HANDLS as a longitudinal study permits us to pursue social and environmental effects on health status over a portion of the adult lifespan among a diverse urban dwelling cohort. The social and physical environment measures in HANDLS will allow us to examine several mechanisms linking environment to health over the life span including: changes in individual vulnerability, changes in environmental stressors, and underlying social cohesion. We perform two types of neighborhood assessments. In the first, teams of raters make systematic ratings of neighborhood attributes including street characteristics, physical disorder, and social disorder. In the second neighborhood assessment, teams of raters use a standardized rating sheet to examine the cost and availability of the foods in the USDA Health Meal Plan at neighborhood grocery stores. This provides data on the variability in the accessibility of balanced meals in different neighborhoods.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Intramural Research (Z01)
Project #
1Z01AG000513-06
Application #
7325133
Study Section
(LCI)
Project Start
Project End
Budget Start
Budget End
Support Year
6
Fiscal Year
2006
Total Cost
Indirect Cost
Name
Aging
Department
Type
DUNS #
City
State
Country
United States
Zip Code
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