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Abstract Assigning ages to lions (Panthera leo) requires the use of subjective and objective criteria, and is useful for conservation decision-making in that age distributions can be defined from which demographic profiles can be extracted. We collated all age assignment criteria and found that a constraint of most objective criteria is that they require immobilized or dead specimens to measure. Furthermore, nearly all criteria used lions with assumed ages to construct relationships or narrative descriptions. We show that digital photogrammetry provides digitally-derived measures of shoulder heights similar to that of linearly derived measures. In addition, such shoulder heights did not differ between captive and free ranging lions, or between different regions in Africa. Variation in shoulder height is primarily associated with sex-specific age. Age, using the von Bertalanffy growth curve, explained 92% and 97% of the variation in female and male shoulder height, a skeletal measure not strongly affected by resource availability. Simulations suggest that age assignment is relatively accurate for females and males with shoulder heights up to 70 cm and 95 cm, respectively. Thus for lions younger than two years of age objective criteria gives most precise estimates, while subjective criteria are more suitable for older lions.

The World Health Organization has made global mental health a priority since making it the center of world health day 2001, yet much of the current literature on mental health examines the subject within the context of the U.S. and Western Europe. This research takes a more global approach, shifting the focus to the issue of depression in Ukraine. Specifically this thesis analyzes data to examine the hypotheses that: 1) a statistically significant relationship exists between gender and depression prevalence in Ukraine; 2) women over the age of 50 in Ukraine have a significantly higher chance of suffering from depression than other age groups, unlike trends described in the literature; and 3) there are socio-economic and social factors present in Ukraine, which impact depression prevalence among women. A mixed-methodology, which utilizes analysis of quantitative data from the World Mental Health survey initiative, completed in Ukraine in 2004, and qualitative interview data, was employed to explore these hypotheses. Strong relationships are found between gender and depression and between depression and aging, particularly past the age of 50. Some socio-demographics of significance include low level of education, very inadequate financial resources and being on a pension. The conclusions that result from this analysis, describe an interesting case for assessment of global mental health issues. While the results are perhaps not generalizable far beyond Ukraine the conclusions drawn have interesting implications for how we study global mental health and the characteristics which make a person more or less vulnerable to mental illness. / text

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published_or_final_version / abstract / toc / Clinical Psychology / Master / Master of Social Sciences

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In the first part of study, our objective was to determine the effect of CoQ10 supplementation of culture media on preimplantation mouse and human embryo development. CoQ10 supplementation of culture media did not improve mouse or human embryo development in vitro. Since the results appeared to be negative, we decided to move on to research the effect of age on female infertility. In the second part, we investigated the effect of female age and ovarian stimulation protocols on IUI outcome in 411 infertile women. We found that the ongoing/live birth rate per cycle in women ≤ 37 years was significantly higher than in older patients. In the third section, we determined if very young age (≤25 yrs) has an impact on pregnancy outcome in women undergoing IVF-ET. Our results demonstrating lower pregnancy rates in very young patients and egg donors compared to the patients in their early thirties were surprising.

ABSTRACT The relationship between subjective age identity and ideal age, as measured by the Subjective Age Identity Scale (Hubley, 2004), and personality domains and facets, as measured by the NEO-PI-R (Costa & McCrae, 1992), was investigated in a sample of 210 adults ages 19 to 78. Subjective age and ideal age scores were regressed, using multiple standard regressions, on the NEO-PI-R domains and facets, respectively. Results indicated that 22% of the variance in subjective age identity scores was explained by personality domains whereas 27% was explained by personality facets. Specifically, two personality domains (Openness to Experience and Neuroticism) and one personality facet (Aesthetics) made significant unique contributions to the explained variance in subjective age scores. Very little variance in ideal age scores was explained by personality domains and facets (less than 10%). One domain (Openness to Experience) and two facets (Vulnerability to Stress and Values) made significant unique contributions to the explained variance in the ideal age scores. These findings are examined in the context of the previous research on the relationship between personality and subjective age and the importance of conducting both domain and facet level analyses when using the NEO-PI-R is discussed. Implications of the present findings for counselling and clinical work with persons facing age role transitions or other age related concerns (e.g., negative attitudes towards aging) are highlighted.