This study examined the reliability and validity of the SenseWear Armband (SWA, BodyMedia, Inc.) during rest and exercise compared to indirect calorimetry (IC). Energy expenditure (EE) was assessed with SWA and IC in 13 males during two resting and one cycle ergometry (40 min at 60% VO_2peak) sessions. In a second experiment, 20 adults walked on a treadmill for 30 min at 3 intensities while IC and SWA measured EE. At rest, no significant differences were found between EE measurements from the SWA (1.3 ± 0.1 kcal/min) and IC (1.3 ± 0.1 kcal/min), and the methods were significantly correlated (r = 0.76). The SWA EE estimation was reliable when comparing the two resting visits (r = 0.93). For the ergometer protocol, no significant differences were found between the SWA and IC measurements of EE early, mid, or late in exercise or for the total bout, although the measurements were not correlated (r = 0.03-0.12). The SWA EE estimate of walking increased with treadmill speed but not with inclination. The SWA significantly overestimated the EE of walking with no grade (27.4% for 3mph; 12.6% for 4mph) and significantly underestimated EE on the 5% grade (21.9%) (p<0.02). The SWA estimation of EE correlated with IC (r = 0.47-0.69). The SWA provided valid and reliable estimates of EE at rest. The SWA provided similar mean estimates of EE as IC on the ergometer, however the individual error was large. The SWA overestimated the EE of flat walking and underestimated inclined walking EE. / Master of Science

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No description available.

No description available.

Mutations in the melanocortin 4 receptor (MC4R) are the most frequent cause of monogenetic forms of human obesity. Despite its importance, the MC4R signaling pathways and transcriptional regulation that underly the melanocortin pathway are far from being fully understood. The transcription factor Nescient Helix Loop Helix 2 (Nhlh2), is known to influence the melanocortin pathway. It regulates the transcription of genes by binding to the E-Box binding sites present in the promoter region. Here in this dissertation, Nhlh2's role as a transcriptional regulator of Mc4r and the effects of deletion of Nhlh2 on peripheral energy expenditure, glucose homeostasis and fatty acid oxidation are reported. To investigate the transcriptional mechanisms of Mc4r and the involvement of Nhlh2, gene expression analysis, DNA-protein binding, transactivation assays, and SiRNA induction were used. We show that Nhlh2 regulates the transcription of Mc4r by binding to the three E-Boxes present on the promoter at -553, -361 and +47. Further, SiRNA knockdown of Nhlh2 in the N29/2 cell line depresses Mc4r expression which suggests the requirement of Nhlh2 for Mc4r transcription. Development of adult onset obesity in the absence of evident hyperphagia questions the ability of mice which lacks Nhlh2 (N2KO) to utilize energy substrate efficiently. To test the effect of deletion of Nhlh2 in N2KO, body composition analysis, tissue specific characterization, fatty acid oxidation and glucose and insulin homeostasis were assessed. N2KO mice have a higher fat content than WT at the age of 12 weeks. There are architectural differences in adipose tissue of N2KO. White adipose tissue (WAT) shows infiltration of macrophages, and increased mRNA and serum levels of interleukin 6 which suggests the presence of a systemic inflammatory state in the N2KO mice. Sympathetic nervous system tone is reduced in both brown adipose tissue (BAT) and WAT, as evidenced by gene expression analysis, and this may be because of overall reduced melanocortinergic tone in N2KO mice. N2KO mice have an impaired glucose tolerance on the basis of their late glucose clearance on glucose (non-significant) and insulin (significant) challenges. Fatty acid oxidation (FAO) is higher in red fibers of skeletal muscle, and the respiratory exchange ratio (RER) is lower in N2KO, which is indicative of using fat as a preferential energy source. Increased expression of genes involved in the lipid metabolism in skeletal muscle and liver supports the RER and FAO, and are indicative of high turnover of lipids in N2KO. Findings from these studies implicate Nhlh2 as a transcriptional regulator of Mc4r which has a direct relevance to the ever increasing epidemic of obesity. Characterization of N2KO mice sheds light on the adult onset obesity phenotype. Knowledge gained from these findings will help us understand the monogenetic form of obesity more completely and could lead to the design of improved pharmacological therapies that target Nhlh2 or Mc4r or modify physical activity behavior. / Ph. D.

This dissertation investigates changes in size, composition, and fiscal authority of government expenditure brought on by social disturbance by examining the effects of German reunification on government spending. This research tests several hypotheses using data on total spending and six major sub-policy spending categories between 1972 and 2006. First, this study identifies strong evidence of a large upward displacement effect following reunification, with a particular emphasis on social security spending. Second, this study finds a strong and positive correlation between per capita GDP and total spending as well as social security, education, and public safety spending, which confirms Wagner's Law. Results also reveal that unemployment rate is strongly and positively related to total spending and several sub policy categories both before and after reunification. Additionally, this study finds that the proportions of the youth and elderly populations are negatively associated with total spending after reunification. However, the proportion of the youth population is positively associated with per capita education spending, as the proportion of elderly population with social security spending. The results also show that economic openness has a strong positive impact on both total spending and economic services spending; however, the relationship between economic openness and social security, education, and health spending after reunification is negative. The right party control variable has no significant impact on total spending after reunification, though party control does seem to influence social security and defense spending. Furthermore, the election variable does not have a significant impact on spending except for a positive and significant impact on social security spending after reunification. On the other hand, the coalition government and the proportion of public employees variables have strong and positive impacts on total spending and several sub-policy categories after reunification. The deficit ratio variable is found to have a positive and significant impact on total spending and public safety spending after reunification. Lastly, using a traditional expenditure ratio and a composite ratio to measure fiscal decentralization, this study finds that after reunification there is a trend towards fiscal centralization in total spending and social security, economic services, health, and public safety spending. / Ph. D.

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The accurate measurement of total energy expenditure is a cornerstone of metabolic research. However, there is a lack of measurement methods that are valid, objective, inexpensive, and easy to use. Accelerometry, along with validated prediction equations for resting energy requirements, may provide an opportunity to fill this void. Twenty weight stable adults (12 female, 8 male) who recently participated in a controlled feeding study comprised the study sample. Total energy requirements were assessed from the controlled feeding period in which weight stability was achieved using the intake-balance method. Resting energy expenditure was assessed using the Mifflin-St. Jeor equation. Participants wore accelerometers to objectively assess habitual physical activity. The accelerometer data obtained along with subjects' demographic and biometric data were used to predict non-resting energy expenditure (NREE) using step-wise linear regression in JMP. Bland-Altman plots and Spearman's Rho correlations were used to determine the validity of the total energy requirements obtained from the sum of the predicted non-resting energy expenditure. Estimated resting energy expenditure was compared with the total energy requirements assessed using the intake-balance method from the controlled feeding period. The resulting prediction equation is as follows: 480.93 – 180.69(sex) + 0.21(Accelerometer kcals) + 617.98(BF%) = AEE. The sex was coded as 1 for females and 0 for males. This prediction model has a coefficient of determination of 0.74 (0.70 adjusted). On average, the model overestimates AEE by 76 kcals. This new model could be the key to accurately, inexpensively and objectively measuring total energy requirements. / Master of Science / Accurate measurement of the total amount of energy (i.e. calories) utilized by the body throughout the day, also known as total energy expenditure, is a vital component of metabolic research. However, there is a lack of measurement methods that are valid, objective, inexpensive, and easy to use. Accelerometers combined with equations designed to predict total energy expenditure may be able to fill this gap. Accelerometers are devices worn on the body that measure accelerative forces from physical activity. Twenty weight stable adults (12 female, 8 male), who recently participated in a study in which all dietary intake and exercise were closely monitored (controlled feeding study), comprised the study sample. The amount of energy needed to maintain weight (total energy requirements) was assessed from the controlled feeding period in which weight stability was achieved. Resting energy expenditure, the energy burned while the body is at rest, was assessed using an equation often used to estimate energy expenditure, the Mifflin-St. Jeor equation. Participants wore accelerometers to objectively assess habitual physical activity. The accelerometer data obtained along with subjects’ demographic (age, sex) and biometric (height, weight, BMI, etc.) data were used to predict non-resting energy expenditure (resting energy expenditure subtracted from total energy expenditure). Multiple statistical tests were used to determine the validity of the total energy requirements obtained from the sum of the predicted non-resting energy expenditure (NREE) and resting energy expenditure. Estimated resting energy expenditure was compared with the total energy requirements assessed using the intake-balance method from the controlled feeding period. The resulting prediction equation is as follows: 480.93 – 180.69(sex) + 0.21(Accelerometer kcals) + 617.98(BF%) = NREE. The sex was coded as 1 for females and 0 for males. This prediction model has a coefficient of determination of 0.74 (0.70 adjusted), which means 70% of the variation in non-resting energy expenditure was explained by changes in the variables in the equation. On average, the model overestimates NREE by 76 Calories per day. This new model could be the key to accurately, inexpensively and objectively measuring total energy requirements.

No / Though Bangladesh has made tremendous strides forward in health and other socio-economic indicators in the recent past, basic needs of health still remain largely unmet and only less than half of the population has access to basic healthcare. The health spending is far below the optimum level which is needed to scale up essential health intervention. Bangladesh is also experiencing a critical and chronic shortage and imbalance of skill mix and deployment of health workforce. The important achievements in health indicators include life expectancy, infant mortality, and vaccinations. However, overall burden of mortality and morbidity in most of the key health indicators is higher compared to other regional countries. Despite remarkable progress, except child mortality, targets are not expected to be met by 2015 if the prevailing trends persist in several areas. Major reforms are needed in health and medical education to ensure quality healthcare for the population of Bangladesh.

2 pp. / The energy content of food is measured in calories. The number of calories, or energy, an athlete needs to maintain weight depends upon: age, body weight, gender, Resting Energy Expenditure (REE) and physical Activity Energy Expenditure (AEE) levels.