ABSTRACT
Asian Indians (AI) have a high risk of atherosclerotic cardiovascular disease. The study investigated associations between discrimination and (1) cardiovascular risk and (2) self-rated health among AI. Higher discrimination scores were hypothesized to relate to a higher cardiovascular risk score (CRS) and poorer self-rated health. Asian Indians (n = 757) recruited between 2010 and 2013 answered discrimination and self-reported health questions. The CRS (0-8 points) included body-mass index, systolic blood pressure, total cholesterol, and fasting blood glucose levels of AI. Multiple linear regression analyses were conducted to evaluate relationships between discrimination and the CRS and discrimination and self-rated health, adjusting for psychosocial and clinical factors. There were no significant relationships between discrimination and the CRS (p ≥ .05). Discrimination was related to poorer self-reported health, B = -.41 (SE = .17), p = .02. Findings suggest perhaps there are important levels at which discrimination may harm health.
Subject(s)
Cardiovascular Diseases/ethnology , Racism/statistics & numerical data , Self Report , Adult , Aged , Aged, 80 and over , Asian , Blood Glucose , Blood Pressure , Body Mass Index , Cholesterol/blood , Cross-Sectional Studies , Female , Health Status , Humans , India/ethnology , Linear Models , Male , Middle Aged , Risk Factors , Socioeconomic Factors , United States/epidemiologyABSTRACT
Cardiovascular disease has a progressively earlier age of onset, and disproportionately affects African Americans (AAs) in the United States. It has been difficult to establish the extent to which group differences are due to physiological, genetic, social or behavioural factors. In this study, we examined the association between blood pressure and these factors among a sample of 294 children, identified as AA, European American or Hispanic American. We use body composition, behavioural (diet and physical activity) and survey-based measures (socio-economic status and perceived racial discrimination), as well as genetic admixture based on 142 ancestry informative markers (AIMs) to examine associations with systolic and diastolic blood pressure. We find that associations differ by ethnic/racial group. Notably, among AAs, physical activity and perceived racial discrimination, but not African genetic admixture, are associated with blood pressure, while the association between blood pressure and body fat is nearly absent. We find an association between blood pressure and an AIM near a marker identified by a recent genome-wide association study. Our findings shed light on the differences in risk factors for elevated blood pressure among ethnic/racial groups, and the importance of including social and behavioural measures to grasp the full genetic/environmental aetiology of disparities in blood pressure.
Subject(s)
Black or African American , Blood Pressure , Body Composition/genetics , Health Behavior/ethnology , Health Status Disparities , Hispanic or Latino , Hypertension/ethnology , Socioeconomic Factors , White People , Black or African American/genetics , Black or African American/psychology , Alabama/epidemiology , Blood Pressure/genetics , Child , Cross-Sectional Studies , Female , Genetic Markers , Genetic Predisposition to Disease , Hispanic or Latino/genetics , Hispanic or Latino/psychology , Humans , Hypertension/genetics , Hypertension/physiopathology , Hypertension/psychology , Linear Models , Male , Markov Chains , Monte Carlo Method , Risk Assessment , Risk Factors , White People/genetics , White People/psychologyABSTRACT
The increasing prevalence of pediatric obesity around the world has become an area of scientific interest because of public health concern. Although since early stages of the lifespan body weight might be heavily influenced by an individual's behavior, epidemiological research highlights the involvement of genetic influences contributing to variation in fat accumulation and thus body composition. Results from genome-wide association studies and candidate gene approaches have identified specific regions across the human genome influencing obesity-related phenotypes. Reviewing the scientific literature provides support to the belief that at the conceptual level scientists understand that genes and environments do not act independently, but rather synergistically, and that such interaction might be the responsible factor for differences within and among populations. However, there is still limited understanding of genetic and environmental factors influencing fat accumulation and deposition among different populations, which highlights the need for innovative experimental designs, improved body composition measures and appropriate statistical methodology.
Subject(s)
Body Composition/genetics , Obesity/genetics , Adolescent , Adult , Age of Onset , Child , Child, Preschool , Female , Genetic Predisposition to Disease/ethnology , Genome-Wide Association Study , Health Behavior/ethnology , Humans , Male , Obesity/epidemiology , Obesity/ethnology , Phenotype , Public Health , Risk Factors , United States/epidemiology , Young AdultABSTRACT
AIM: This study aimed to test the association of individual adipose depots on cardiometabolic outcomes, whether the association varied by depot and if the associations differed by race/ethnicity or gender in early pubertal children. METHODS: Three hundred and twenty children (53% male) aged 7-12 years self-identified as African American (AA; n = 114), European American (EA; n = 120) or Hispanic American (HA; n = 86) participated. Insulin dynamics were assessed by intravenous glucose tolerance test; body composition with DXA; fat distribution with CT. RESULTS: AA had the least fat in each depot and HA had the most. Fat accumulation negatively impacted cardiometabolic outcomes independent of race/ethnicity or gender. AA and females were reproductively more mature. In AA and HA, each measure of adiposity influenced the insulin sensitivity index (S(I)), whereas intra-abdominal adipose tissue (IAAT) did not contribute to S(I) in EA. IAAT was positively associated with blood pressure in AA only. In females, adiposity adversely influenced cardiometabolic outcomes such that total fat mass, IAAT and/or SAAT was inversely associated with S(I), and positively associated with blood pressure and fasting insulin. CONCLUSION: IAAT is uniquely related to metabolic risk factors in Hispanic Americans, African Americans and girls, suggesting that either the threshold for adverse effects of IAAT is lower, or the IAAT metabolism differs in these groups.
