Thesis (Ph.D.) - Carleton University, 2005. / Includes bibliographical references (p. 128-139). Also available in electronic format on the Internet.

Thesis (Ph. D.)--University of Florida, 1984. / Description based on print version record. Typescript. Vita. Includes bibliographical references (leaves 99-106).

Dogslife is the first large-scale, longitudinal cohort study of canine lifestyle, morphology and health. The project involves recruiting the owners of UK-based, Kennel Club registered Labrador Retrievers and asking them to submit data about their dogs via an online questionnaire repeatedly as the dogs age. In this thesis, I have analysed Dogslife data regarding the lifestyle, morphology and health of Labrador Retrievers up to four years of age. A validation study was initially undertaken in order to understand the quality of the Dogslife data because this would underlie all future investigations. Owners were visited and veterinary records scrutinised. It was determined that Dogslife illness reports were subject to recall decay and that minor changes would improve the usability of the questionnaire. Accelerometers were subsequently sent to a subset of the cohort and aspects of the Dogslife exercise questionnaire were found to be correlated to accelerometer readings indicative of sedentary, light and moderate to vigorous exercise. Overall, Dogslife dogs were exercised for over two hours each day with the time spent being dominated by time off lead and on other activities. Dogs in England spent less time exercising than those in Scotland and Wales and dogs in family households spent less time exercising than those in single adult households or households comprising more than one adult. Despite being pedigree animals, the males in the cohort were 2-3cm taller than the breed standard. On average, the females met the breed standard but there was wide variation for both sexes. Working dogs in the cohort were over 2kg lighter than household pets and chocolate coloured dogs were 1.4kg heavier than their black and yellow counterparts. Dogs in multi-dog households were 0.5kg lighter than those in households with no other dog. Heavier dogs spent less time fetching, chasing and retrieving and on other exercise. Over 6,000 signs of illness were reported to Dogslife in the first three and half years and approximately half of them did not involve a veterinary visit. Reported signs were dominated by vomiting and diarrhoea, both of which peaked when the dogs were between 3-6 months of age. For the first time, rates of diarrhoea were shown to be positively associated with human population density in the UK. Limber tail was found to be associated with swimming in the cohort and working dogs were more likely to develop the condition than pets. Genetic analyses identified regions of interest that might predispose the dogs to limber tail on chromosomes 6 and 30. Data from the Dogslife project provide a unique resource for investigating the epidemiology of Labrador Retrievers. This thesis creates a platform for all such future investigations.

Background: Primary subarachnoid hemorrhage (1°SAH) is an important disease that causes significant morbidity and mortality. The sparse Canadian epidemiologic literature on 1° SAH is outdated and relies on diagnostic coding for case ascertainment which misses true cases and incorrectly labels non-cases. Objectives: Primary objective was to identify all patients with 1° SAH presenting to the Ottawa Hospital (TOH) between July 1, 2002 and June 30, 2011 by deriving and validating a search algorithm using an enriched administrative database. Secondary objectives included: 1) determine incidence and case-fatality rates (CFR) of 1° SAH at TOH; and 3) derive and validate a method to identify 1° SAH using routinely collected administrative data. Methods: A cohort of 1° SAH patients were identified with a case-defining algorithm that was derived and validated using a combination of cerebrospinal fluid analysis results and text-search algorithms of both cranial imaging and post-mortem reports. The incidence of 1° SAH was calculated using the total number of hospital encounters over the same time period. CFR was calculated by linking to vital statistic data of hospitalized patients at discharge. An optimal1° SAH prediction model was derived and validated using binomial recursive partitioning built with independent variables obtained from routinely collected administrative data. Results: Using the case-defining algorithm, 831 patients were identified with a 1° SAH over the study period. Hospital incidence of 1° SAH was 17.2 events per 10,000 inpatient encounters (or 0.17% of encounters) with a case-fatality rate of 18.1%. A validated SAH prediction model based on administrative data using a recursive partitioning model had a sensitivity of 96.5% (95% CI 93.9-98.0), a specificity of 99.8% (95%CI 99.6-99.9), and a +LR of 483 (95% CI 254-879). This results in a post-test probability of disease of 45%. Conclusion: We identified almost all cases of 1° SAH at our hospital using an enriched administrative data. Accurately identifying such patients with routinely collected health administrative data is possible, providing important opportunities to examine and study this patient population. Further studies, involving multiple centres are needed to reproduce these results.

T2DM continues to be a public health burden with its increasing incidence, prevalence, and mortality risks. The aim of this thesis was to examine a population-based cohort of 22,000 people with T2DM diagnosed between 1 January 2000 and 31 December 2010 within the Wirral Peninsula, UK with the aim of: Assessing factors relating to all-cause, cardivascular-, malignancy-, and non-cardiovascular mortality; evaluating the role of glycaemic control, socioeconomic status, smoking, dyslipidaemia, blood pressure, obesity, and nephropathy, as predicting risk factors for mortality; assessing the influence of age at diagnosis, duration of diabetes, year of diagnosis and gender on mortality; examining the life expectancy and mortality patterns and measuring the years of life lost as a result of a diagnosis of T2DM; applying Complexity Science to the dynamic interplay of the various factors in T2DM that lead to unpredictability in health outcomes.

Entrepreneurs are seen to play a vital role in the growth of an economy, particularly in an emerging market such as South Africa. To date, there has been a limited amount of research concerning the drivers, influences and factors that predispose an individual towards entrepreneurial intent within the South African context. Equally so, there is little research on generational theory and how this relates to entrepreneurial activity as a whole. This study focuses on comparing the X and Y generational cohorts in terms of their propensity towards entrepreneurial intent within the context of South Africa. Research was conducted following an in depth literature review which focused on the concept of entrepreneurship and its effect on the economy, generational theory and the interaction and influence of generational cohort theory on the drivers of entrepreneurial intent. The data gathered through the course of the literature review was utilised as a theoretical foundation on which to build propositions of entrepreneurial intent and from which a quantitative survey instrument was developed. The quantitative survey was open to any South African individual who falls within the X or Y generational cohort as defined in this study.Key findings include similarities and differences between the X and Y generational cohort individuals in terms of the following aspects: education and entrepreneurial training; exposure to technology; problem solving; leadership orientation; visionary perspective; the influence of family and organisational support networks; creativity and innovation, attitude towards risk-taking and self-confidence. It is hoped that the findings contribute to the existing literature on entrepreneurial intent and in particular to that within the South African context of the X and Y generational cohorts. Copyright / Dissertation (MBA)--University of Pretoria, 2010. / Gordon Institute of Business Science (GIBS) / unrestricted

We found no significant excess of fractures among Rochester, MN, residents with diabetes mellitus initially recognized in 1950-1969, but more recent studies elsewhere have documented an apparent increase in hip fracture risk. To explore potential explanations for any increase in fractures, we performed an historical cohort study among 1964 Rochester residents who first met glycemic criteria for diabetes in 1970-1994 (mean age, 61.7 ± 14.0 yr; 51% men). Fracture risk was estimated by standardized incidence ratios (SIRs), and risk factors were evaluated in Andersen-Gill time-to-fracture regression models. In 23,236 person-years of follow-up, 700 diabetic residents experienced 1369 fractures documented by medical record review. Overall fracture risk was elevated (SIR, 1.3; 95% CI, 1.2-1.4), but hip fractures were increased only in follow-up beyond 10 yr (SIR, 1.5; 95% CI, 1.1-1.9). As expected, fracture risk factors included age, prior fracture, secondary osteoporosis, and corticosteroid use, whereas higher physical activity and body mass index were protective. Additionally, fractures were increased among patients with neuropathy (hazard ratio [HR], 1.3; 95% CI, 1.1-1.6) and those on insulin (HR, 1.3; 95% CI, 1.1-1.5); risk was reduced among users of biquanides (HR, 0.7; 95% CI, 0.6-0.96), and no significant influence on fracture risk was seen with sulfonylurea or thiazolidinedione use. Thus, contrary to our earlier study, the risk of fractures overall (and hip fractures specifically) was increased among Rochester residents with diabetes, but there was no evidence that the rise was caused by greater levels of obesity or newer treatments for diabetes.

Type 2 diabetes mellitus (T2DM) is associated with a high mortality risk, although the magnitude of this association remains unknown in Latin America (LA). We aimed to assess the strength of the association between T2DM and all-cause and cause-specific mortality in population-based cohort studies in LA. Systematic review and meta-analysis: inclusion criteria were (1) men and women 18 years old and above with T2DM; (2) study outcomes all-cause and/or cause-specific mortality; and (3) using people without T2DM as comparison group. Five databases (Scopus, Medline, Embase, Global Health, and LILACS) were searched. Risk of bias was evaluated with the ROBINS-I criteria. Initially, there were 979 identified studies, of which 17 were selected for qualitative synthesis; 14 were included in the meta-analysis (N = 416 821). Self-reported T2DM showed a pooled relative risk (RR) of 2.49 for all-causes mortality (I-squared [I 2 ] = 85.7%, p < 0.001; 95% confidence interval [CI], 1.96-3.15). T2DM based on a composite definition was associated with a 2.26-fold higher all-cause mortality (I 2 = 93.9%, p < 0.001; 95% CI, 1.36-3.74). The pooled risk estimates were similar between men and women, although higher at younger ages. The pooled RR for cardiovascular mortality was 2.76 (I 2 = 59.2%; p < 0.061; 95% CI, 1.99-3.82) and for renal mortality 15.85 (I 2 = 0.00%; p < 0.645; 95% CI, 9.82-25.57). Using available population-based cohort studies, this work has identified and estimated the strength of the association between T2DM and mortality in LA. The higher mortality risk compared with high-income countries deserves close attention from health policies makers and clinicians to improve diabetes care and control hence preventing complications and delaying death. / Revisión por pares

京都大学 / 0048 / 新制・課程博士 / 博士(医学) / 甲第21251号 / 医博第4369号 / 新制||医||1029(附属図書館) / 京都大学大学院医学研究科医学専攻 / (主査)教授 佐藤 俊哉, 教授 川上 浩司, 教授 今中 雄一 / 学位規則第4条第1項該当 / Doctor of Medical Science / Kyoto University / DFAM

This paper is an analysis of American's opinions on government spending on Social Security. The main objectives were to analyze the effect of year and cohort membership on the likelihood for American's to say that they think the government is spending too little on Social Security. The data was obtained from the General Social Survey. Results of the analysis conclude that year is statistically significant in predicting the likelihood of those who say the government is spending too little on Social Security. When comparing every year to 1994, 1996 is the only year that year that respondents were less likely to respond that the government was spending too little on Social Security. Every other test year, up to and including 2004, there is a growing likelihood of respondents indicating that the government is spending too little on Social Security. Finally, cohort membership was included in the analysis. Results conclude that the Swing cohort and the Babyboom cohort are statistically significant in predicting opinions on government spending on Social Security when being compared to the youngest cohort, the Babyboomlet-bust cohort. However, the results of the analysis show opposite direction in opinions between these two cohorts. Interestingly, the only cohort not statistically significant is the Silent generation.