This study investigated social cognitive determinants of creatine supplementation among 171 male, undergraduate, recreational weight-lifters. Participants responded to a packet of questionnaires that assessed their history and rate of creatine use, self-efficacy for improving their workout performance with and without creatine, and expected outcomes of improved workout performance and creatine use, as well as several other demographic variables. Fifty percent of the sample reported past creatine use. The data was used to establish the internal consistency, test-retest reliability and predictive validity of factor-based scales for valued outcome expectancies and disincentives for creatine use scales. A social cognitive model was shown to predict past creatine use (R² = .372). The results lay the groundwork for further examination of the determinants of creatine supplementation and the use of other controversial and potentially harmful performance-enhancing dietary supplements. / Master of Science

A strategy for facilitating post-treatment weight maintenance was examined. Subjects were matched for age, sex, and amount of weight that they desired to lose and were then assigned to one of two groups. Both groups were under contracts and had individually designed self-control programs for weight loss, but subjects in the experimental group lost weight in small steps and subjects in the control group lost weight continuously. The experimental group was predicted to have better weight maintenance after treatment because of a greater number of reinforcements for weight loss. Two-month follow-up data was obtained on the ten subjects who completed the study, and the experimental group was found to have regained significantly less than the control group after treatment ended. The implications of these results for obesity research are discussed.

More than two-thirds of Americans are obese or overweight. Obesity rates have risen to an epidemic level, contributing to health inequalities and leading to reduced health-related quality of life. When obese and overweight persons face weight bias by health care providers, fragmented care may occur. Ensuring positive relationships with healthcare providers is important in helping those who are obese or overweight. The purpose of this project was to understand the factors that contribute to negative weight bias in the provider-patient relationship and to identify the most effective interventions that would reduce stigmatizing attitudes and support self-awareness, acceptance, and resolution for both patient and provider. The theoretical foundations of cultural humility and self-appraisal in interpersonal relations were applied to inform this project. The Cochrane Handbook for Systematic Reviews framed this systematic literature review. Additionally, Melnyk's levels of evidence was used to evaluate each article. Articles for inclusion were limited to those published no earlier than 2013, full text available, English language, and peer-reviewed. The search identified 102 articles, of which 26 were selected for the final review. Five articles met the criteria for Level VII (opinions of experts), 18 were Level VI (qualitative studies), 1 was a Level V (qualitative review), and 2 were Level 1 (systematic review). The analysis of evidence clarified the issues related to weight bias and supported recommendations for nursing practice improvement in upholding the dignity of all persons with regard to weight. Nurses can pioneer positive social change by becoming role models who advocate for equality in healthcare delivery for persons who are obese or overweight.

Sampling weights are recommended to be incorporated in surveys to compensate for the disproportionality of the sample with respect to the target population of interest. This report presents how to develop sampling weights for a population-based study where a sample was randomly selected and demonstrates the process of developing such sampling weights. We exemplify the development of sampling weights with a real research project entitled School Physical Activity and Nutrition (SPAN) project. In this report, we first introduce the probability-based survey and related key concepts, such as sampling design, sampling frame and sampling weights. Then we discuss the sampling design and the construction of the sampling frame for the SPAN project. We next demonstrate the method and the process of developing the sampling weights for the SPAN project. Lastly, we present the results with an example. / text

Maternal colonies of the big brown bat, Eptesicus fuscus were studied in Delaware and Grant Counties from 21 May to 22 September, 1992. Nineteen colonies of bats were located and revisited several times during the summer. Bats were captured, sexed, aged, weighed and banded at each site. The weight gain pattern of the bats was related to rainfall and temperature during the summer. Other factors that might affect weight gain such as ectoparasites, tooth wear, and wing damage were also measured.The summer of 1992 had below normal rainfall in May and above normal rainfall in June and July. Temperatures were below normal during the study period. The weights of captured bats were compared to weights of bats captured at similar colonies during the same period in 1988, a dry year, and 1989 a wet year. Both of these years had near normal temperatures. Lower weight gain for juveniles and for adult females in late spring and early summer of 1992 was associated with higher than average precipitation and lower than average temperatures during the period. / Department of Biology

Thesis (Ph. D.)--University of Texas at Austin, 2006. / Vita. Includes bibliographical references.

Thesis (M.S.)--University of Michigan, 1993.

Thesis (M.S.)--University of Michigan, 1993.

No description available.

Thesis (M. Agricultural Management (Animal Production)) -- University of Limpopo, 2022 / Modern analytical techniques such as data mining algorithms are used to create a model that accurately estimates continuous dependent variable from independent variables of a given set of data. The present study used different data mining algorithms to assess the association between body weight (BW) and morphological characteristics such as body length (BL), heart girth (HG), withers height (WH), rump height (RH), and rump length (RL) of South African non-descript indigenous goats. The research was carried out in the Lepelle-Nkumbi Local Municipality, Capricorn District in the Limpopo province of South Africa. The study used 700 non-descript indigenous goats which include 283 bucks and 417 does with age ranged from one to five years old. The morphological characteristics were taken with a tailor measuring tape and a wood ruler calibrated in centimetres (cm), while the BW was taken with a balanced animal scale calibrated in kilograms (kg). Before the goats were allowed to go for grazing, the following body measurements (BW, BL, HG, WH, RH and RL) was taken once in the morning. Data was analyzed using descriptive statistics, Pearson correlation, various data mining algorithms (Chi-square automatic interaction detector, Classification, and regression tree), analysis of variance and goodness of fit equations (Coefficient of determination (R2), adjusted coefficient of determination (Ajd.R2), root mean square error (RMSE), relative approximate error (RAE), standard deviation ratio (SD. ratio) and coefficient of variance (CV)). The result showed that, BW and HG had higher mean values in does than bucks, BL and WH had higher mean values in bucks than does, and RH and RL had equal mean values in bucks and does, according to descriptive statistics. Furthermore, our findings showed that the BW of does had positive significant correlation (P < 0.01) with BL (r = 0.65), and positive significant correlation (P < 0.05) with HG (r = 0.28), but non-significant correlation (P > 0.05) with WH (r = 0.21), RH (r = 0.23) and RL (r = 0.23). However, the result for bucks indicated that BW had positive significant correlation (P < 0.01) with BL (r = 0.65) but non-significant correlation with HG (r = 0.22), WH (r = 0.07), RH (r = 0.14) and RL (r = 0.12). The chi-square automatic interaction detector and classification and regression tree results indicated that BL in bucks and does had statistical significance (P < 0.01) on BW followed by age, HG, and villages where the animals were raised. Goodness of fit results indicated there was high R2 = 0.58, Adj. R2 = 0.58, and low SD. Ratio = 0.65, RAE = 0.02, RMSE = 5.53) and CV = 14.49 in CHAID model and low R2 = 0.51, Adj. R2 = 0.46 and high SD. Ratio = 0.70, RAE = 0.20, RMSE = 5.95 and CV = 15.49 in CART model. Analysis of variance results indicated that age had significant difference (P < 0.01) on BW and some morphological traits including BL, HG, WH and RH. Sex only revealed significant difference (P < 0.01) in RL. It was concluded that BL alone in both sexes can be used as a selection criterion when determining body weight of goats. Both CHAID and CART suggest that BL alone can be used as a predictor of body weight in goats. Goodness of fit calculations suggest that CHAID is the best model due to its high R2, Adj. R2 and low RAE and RMSE. Findings suggest that age can be used as deciding factor for the measured traits including BW, BL, HG, WH and RH in both does and bucks. Findings suggest that sex can only be used as a deciding for RL only in the current study. / National Research Foundation (NRF)