Segmental body composition determination through a bioelectrical very large scale integration (VLSI) system

The purpose of this investigation was to develop new techniques to generate segmental assessments of body composition based on Segmental Bioelectrical Impedance Analysis (SBIA). An equally important consideration was the design, simulation, development, and the software and hardware integration of the SBIA system. This integration was carried out with a Very Large Scale Integration (VLSI) Field Programmable Gate Array (FPGA) microcontroller that analyzed the measurements obtained from segments of the body, and provided full body and segmental Fat Free Mass (FFM) and Fat Mass (FM) percentages. Also, the issues related to the estimate of the body's composition in persons with spinal cord injury (SCI) were addressed and investigated. This investigation demonstrated that the SBIA methodology provided accurate segmental body composition measurements. Disabled individuals are expected to benefit from these SBIA evaluations, as they are non-invasive methods, suitable for paralyzed individuals. The SBIA VLSI system may replace bulky, non flexible electronic modules attached to human bodies. ^

Coronary heart disease risk factors among tri-ethnic students at Florida International University

The present study identified and compared Coronary Heart Disease (CHD) risk factors quantified as “CHD risk point standards” (CHDRPS) among tri-ethnic (White non-Hispanic [WNH], Hispanic [H], and Black non-Hispanic [BNH]) college students. All 300 tri-ethnic subjects completed the Cardiovascular Risk Assessment Instruments and had blood pressure readings recorded on three occasions. The Bioelectrical Impedance Analysis (BIA) was used to measure body composition. Students' knowledge of CHD risk factors was also measured. In addition, a 15 ml fasting blood sample was collected from 180 subjects and blood lipids and Homocysteine (tHcy) levels were measured. Data were analyzed by gender and ethnicity using one-way Analysis of Variance (ANOVA) with Bonferroni's pairwise mean comparison procedure, Pearson correlation, and Chi-square test with follow-up Bonferroni's Chi-square tests. ^ The mean score of CHDRPS for all subjects was 19.15 ± 6.79. Assigned to the CHD risk category, college students were below-average risk of developing CHD. Males scored significantly (p < 0.013) higher for CHD risk than females, and BNHs scored significantly (p < 0.033) higher than WNHs. High consumption of dietary fat saturated fat and cholesterol resulted in a high CHDRPS among H males and females and WNH females. High alcohol consumption resulted in a high CHDRPS among all subjects. Mean tHcy ± SD of all subjects was 6.33 ± 3. 15 μmol/L. Males had significantly (p < 0.001) higher tHcy than females. Black non-Hispanic females and H females had significantly (p < 0.003) lower tHcy than WNH females. Positive associations were found between tHcy levels and CHDRPS among females (p < 0.001), Hs (p < 0.001), H males (p < 0.049), H females (p < 0.009), and BNH females (p < 0.005). Significant positive correlations were found between BMI levels and CHDRPS in males (p < 0.001), females (p < 0.001), WNHs (p < 0.008), Hs (p < 0.001), WNH males (p < 0.024), H males (p < 0.004) and H females (p < 0.001). The mean knowledge of CHD questions of all subjects was 71.70 ± 7.92 out of 100. The mean knowledge of CHD was significantly higher for WNH males (p < 0.039) than BNH males. A significant inverse correlation (r = 0.392, p < 0.032) was found between the CHD knowledge and CHDRPS in WNH females. The researcher's findings indicate strong gender and ethnic differences in CHD risk factors among the college-age population. ^

Psychosocial barriers to self -care among Hispanic women with type 2 diabetes mellitus

This cross-sectional survey-designed study investigated the presence and influence of psychosocial barriers to diabetes self-management practices among Hispanic women with type 2 diabetes mellitus. Women (n = 128) who were diagnosed and being treated for type 2 diabetes were recruited from the Miami-Dade area in South Florida. A Beck Depression Inventory-II, Diabetes Care Profile, Diabetes Knowledge Test, Diabetes Empowerment, Multidimensional Health Locus of Control, and Perceived Stress Scales were administered, along with assessment of diet through a 24-hour recall and anthropometric evaluation by body composition analysis and body mass index computation. ^ Mean (± SD) age for subjects was 50.15 ± 15.93 and age at diagnosis was 42.46 ± 14.69. Mean glycosylated hemoglobin (A 1C) was 8.55 ± 1.39. Diabetes education had not been received by 46.9% of subjects. Psychosocial status had previously been evaluated in only 4 participants. Forty percent of participants were assessed as depressed and 17% moderately to severely so. Depression correlated significantly (p < 0.01) with A1C (r = 0.242), perceived stress (r = 0.566), and self-rated health (r = −0.523). Perceived stress correlated significantly (p < 0.01) with A1C (r = 0.388), understanding of diabetes (r = 0.282), self-rated health (r = −0.372) and diabetes empowerment (r = −0.366). For Cuban women, perceived stress (β = 0.418, p = 0.033) was the only significant predictor of A1C, while among non-Cuban Hispanic women, self-reported health (β = −0.418, p = 0.003) and empowerment (β = 0.432, p = 0.004) were better predictors. The most desirable DM status among the women surveyed (high diet adherence, low exercise barriers, and A1C ≤ 7) was associated with superior self-rated health, more support from family and friends, and greater empowerment. ^ This study revealed the error in considering Hispanics a homogenous entity in treating disease, as their cultural backgrounds and concentration in a community can greatly influence management of a chronic disease like diabetes. The strong correlations found between diabetes-related health indicators and psychosocial factors such as depression and perceived stress suggest that psychosocial assessment of patients must be more strongly advocated in diabetes care. Psychosocial assessment of ethnically diverse diabetic populations is especially vital if greater knowledge is to be gained about their barriers to self-care so that diabetes treatment and thus outcomes are enhanced. ^

Nutritional status of United States Coast Guard law enforcement detachment groups before and after a deployment

The purpose of this research was to study the nutritional status of United States Coast Guard Law Enforcement Detachment (USCG/ LEDET) personnel before and after prolonged travel at sea. To date there is no information available regarding the nutritional status of Coast Guard personnel. Forty-seven subjects were studied in total, each served as their own control. Demographic and health history data was collected at baseline. Dietary and exercise data was collected before and during the deployment. Body composition was determined before and after a deployment. The results of this study revealed that the USCG/LEDET personnel had high cholesterol and decreased fiber intakes. Cholesterol intake during deployment (516.8±239.7 mg/day) was significantly higher (p= 0. 047) than pre-deployment (448.2 ± 144.3 mg/day). Fiber intake was significantly lower than recommended (p The results of this study indicate that LEDET personnel are put at higher nutritional risk while deployed and also have increased negative health behaviors associated with risk for Cardiovascular Disease (CVD) and other related diseases. This is crucial information for the USCG so that action can be taken to improve the physical well being of their personnel.