Thesis ((Ph.D. (Physiology))--North-West University, Potchefstroom Campus, 2010.

Much has been written on the Anglo-Boer War 1899-1902. Different themes, ranging from battles to more personal experiences, have been documented. Furthermore there are many statistics regarding the war. The aim of this study is to obtain, through the existing sources, the total number of civilian deaths during the Anglo- Boer war. To compile a genealogical database regarding the civilian deaths is not an easy task. Almost all sources have conflicting figures regarding the number of civilians who actually died. Deaths were not restricted to the concentration camps. There were also those of people on their way to the camps, or those fleeing from captivity. The aim of this study is to give an account of the process used to compile the genealogical database. By putting certain criteria in place the database should be stripped of any duplication. The reasons for [him concentration camps being created, and the number of camps that came into existence, including the total of deaths with unique abstracts from the database, are described in detail. There is confusion about the terms "refugee" and concentration camps. This is clarified. A brief explanation is given of how, where and when the camps came into being. The number of camps, and their period of existence, as well as the total numbers of civilian deaths in the camps, were compiled in an effort to secure greater accuracy. With the relevant support of information from the electronic database, it was possible to compile a comprehensive picture of the numbers of deaths that occurred. There are furthermore, some observations on the spelling of surnames. It is important because the use of Afrikaans, Dutch and English has led to different forms of spelling. The core objective of this study was to find the exact number of civilian deaths during the Anglo-Boer War. The penultimate chapter is a detailed explanation of related deaths. A list containing the main causes of deaths, mainly disease, is included. The number of deaths is tabulated in terms of their causes. It is possible to see the profound impact of what really happened. Information of unique deaths, deaths in certain families, as well as statistics regarding the overall age and gender of victims is included. Another aim of the study was to compile a complete list of all the civilians who died during the Anglo Boer War, more complete and with more detail than that of P.L.A. Goldman. This was indeed an overwhelming exercise. P.L.A. Goldman had a total of 27 927 names and the database total account for 33 978 individual deaths. Included are the 759 names of black names as compiled by S.V. Kessler. Hopefully the database will succeed in bringing us closer to the civilian deaths during 1899-1902. It should be useful to genealogical researchers. / Thesis (M.A. (History))--North-West University, Vaal Triangle Campus, 2007.

Much has been written on the Anglo-Boer War 1899-1902. Different themes, ranging from battles to more personal experiences, have been documented. Furthermore there are many statistics regarding the war. The aim of this study is to obtain, through the existing sources, the total number of civilian deaths during the Anglo- Boer war. To compile a genealogical database regarding the civilian deaths is not an easy task. Almost all sources have conflicting figures regarding the number of civilians who actually died. Deaths were not restricted to the concentration camps. There were also those of people on their way to the camps, or those fleeing from captivity. The aim of this study is to give an account of the process used to compile the genealogical database. By putting certain criteria in place the database should be stripped of any duplication. The reasons for [him concentration camps being created, and the number of camps that came into existence, including the total of deaths with unique abstracts from the database, are described in detail. There is confusion about the terms "refugee" and concentration camps. This is clarified. A brief explanation is given of how, where and when the camps came into being. The number of camps, and their period of existence, as well as the total numbers of civilian deaths in the camps, were compiled in an effort to secure greater accuracy. With the relevant support of information from the electronic database, it was possible to compile a comprehensive picture of the numbers of deaths that occurred. There are furthermore, some observations on the spelling of surnames. It is important because the use of Afrikaans, Dutch and English has led to different forms of spelling. The core objective of this study was to find the exact number of civilian deaths during the Anglo-Boer War. The penultimate chapter is a detailed explanation of related deaths. A list containing the main causes of deaths, mainly disease, is included. The number of deaths is tabulated in terms of their causes. It is possible to see the profound impact of what really happened. Information of unique deaths, deaths in certain families, as well as statistics regarding the overall age and gender of victims is included. Another aim of the study was to compile a complete list of all the civilians who died during the Anglo Boer War, more complete and with more detail than that of P.L.A. Goldman. This was indeed an overwhelming exercise. P.L.A. Goldman had a total of 27 927 names and the database total account for 33 978 individual deaths. Included are the 759 names of black names as compiled by S.V. Kessler. Hopefully the database will succeed in bringing us closer to the civilian deaths during 1899-1902. It should be useful to genealogical researchers. / Thesis (M.A. (History))--North-West University, Vaal Triangle Campus, 2007.

Thesis ((Ph.D. (Physiology))--North-West University, Potchefstroom Campus, 2010.

Magister Public Health - MPH / Introduction: In recent years, cardiovascular disease (CVD) has emerged as a leading cause of death in developing countries. It is important to identify and target people who are at risk,given that a third of all deaths are expected to be due to CVD by 2020. Studies have shown socio-economic patterning in the prevalence of risk factors for CVD, including obesity,smoking and lipid profile. In developed countries, the association between socio-economic status (SES) and CVD risk factors is negative, with a higher prevalence of CVD risk factors among people of lower SES. However, findings from studies in developing countries on this including South Africa has been inconsistent. In addition, there is scant information on differences in socio-economic patterning of CVD risk factors between urban and rural areas in South Africa.Aim: To examine the association between SES indicators and CVD risk factors among an adult population cohort of Black South Africans living in a rural and urban community.Study design: Quantitative cross-sectional analytical study of baseline data of a populationbased cohort of 2000 Black South African men and women aged 30-70 years who are part of the Cape Town arm of the Prospective Urban and Rural Epidemiology (PURE) Study. The study cohort has been established in Mount Frere, Eastern Cape (rural) and Langa, Cape Town(urban) since 2009 and the current work is secondary analysis of the baseline study data.Data collection/synthesis: SES indicators including income, employment status, marital status and completed education were gleaned from the baseline data of the PURE Cape Town study for all study participants. Then CVD risk factors including obesity, hypertension, selfreported diabetes, consumption of tobacco and alcohol consumption were also determined for the same participants. Data analysis: Data was analysed using SPSS version 20 for Windows. Descriptive statistics including frequency counts, percentages, mean and standard deviations (where normal distribution) and median and interquartile range (where non-normal) were used to summarise data on SES and CVD risk factors. This was performed separately for rural and urban study participants. Analytical statistics was used to examine associations between SES indicators and CVD risk factors with risk factors as both dichotomous and multi-level categorical variables. Kendall’s τ rank correlation coefficient was obtained to assess the relationship between the three indicators of SES. Prevalence rates reported with 95% confidence intervals was determined for risk factors across categories of SES indicators. P-values for trends in CVD risk factors were obtained by treating the SES indicators as categorical variables in logistic regression analyses. Multiple logistic regression analysis to estimate independent effects of the different SES indicators on risk factors was performed. In all analyses, P-values < 0.05 were regarded as significant.Results: There was a significant difference in the socioeconomic and CVD risk factors profile of urban and rural participants. Except for hypertension and tobacco use with insignificant higher prevalence in the urban location, all CVD risk factors were significantly higher in urban than rural participants. Some CVD risk factors (hypertension and diabetes) were positively associated with high SES (income) and some others (tobacco use) were negatively associated with employment status. Highest income earners had the highest risk of hypertension (AOR= 2.4, 95% CI 1.5-3.9) and diabetes (AOR= 2.2, 95% CI 1.2-4.1) after adjusting for age, sex and other SES variables. Marital status however showed the most consistent association across all CVD risk factors; widowed participants had a high risk of hypertension (OR=2.1, 95% CI 1.2-3.7) and diabetes (OR=2.0, 95% CI 1.1-3.7), but had the lowest risk of tobacco (OR=0.3, 95% CI 0.14-0.66) and alcohol use (OR=0.3, 95% CI 0.15-0.72). The distribution of CVD risk factors by SES gradient showed inconsistent patterning and difference between the urban and rural participants.Conclusion: In this cohort of adult Black South Africans, high income earning and widowed marital status were associated with higher hypertension and diabetes prevalence, while unemployment was associated with higher tobacco use.Recommendations: CVD risk reduction interventions that recognise the differential susceptibility of individuals in different SES group need to be designed and implemented.Widows and widowers should be given focussed attention in health screening as they may have increased vulnerability to diseases especially CVDs. There is however need for more research to establish the pathway through which SES factors predispose or protect individuals from CVDs.

Magister Public Health - MPH / Introduction: In recent years, cardiovascular disease (CVD) has emerged as a leading cause of death in developing countries. It is important to identify and target people who are at risk,given that a third of all deaths are expected to be due to CVD by 2020. Studies have shown socio-economic patterning in the prevalence of risk factors for CVD, including obesity,smoking and lipid profile. In developed countries, the association between socio-economic status (SES) and CVD risk factors is negative, with a higher prevalence of CVD risk factors among people of lower SES. However, findings from studies in developing countries on this including South Africa has been inconsistent. In addition, there is scant information on differences in socio-economic patterning of CVD risk factors between urban and rural areas in South Africa.Aim: To examine the association between SES indicators and CVD risk factors among an adult population cohort of Black South Africans living in a rural and urban community.Study design: Quantitative cross-sectional analytical study of baseline data of a populationbased cohort of 2000 Black South African men and women aged 30-70 years who are part of the Cape Town arm of the Prospective Urban and Rural Epidemiology (PURE) Study. The study cohort has been established in Mount Frere, Eastern Cape (rural) and Langa, Cape Town(urban) since 2009 and the current work is secondary analysis of the baseline study data.Data collection/synthesis: SES indicators including income, employment status, marital status and completed education were gleaned from the baseline data of the PURE Cape Town study for all study participants. Then CVD risk factors including obesity, hypertension, selfreported diabetes, consumption of tobacco and alcohol consumption were also determined for the same participants. Data analysis: Data was analysed using SPSS version 20 for Windows. Descriptive statistics including frequency counts, percentages, mean and standard deviations (where normal distribution) and median and interquartile range (where non-normal) were used to summarise data on SES and CVD risk factors. This was performed separately for rural and urban study participants. Analytical statistics was used to examine associations between SES indicators and CVD risk factors with risk factors as both dichotomous and multi-level categorical variables.Kendall’s τ rank correlation coefficient was obtained to assess the relationship between the three indicators of SES. Prevalence rates reported with 95% confidence intervals was determined for risk factors across categories of SES indicators. P-values for trends in CVD risk factors were obtained by treating the SES indicators as categorical variables in logistic regression analyses. Multiple logistic regression analysis to estimate independent effects of the different SES indicators on risk factors was performed. In all analyses, P-values< 0.05 were regarded as significant.Results: There was a significant difference in the socioeconomic and CVD risk factors profile of urban and rural participants. Except for hypertension and tobacco use with insignificant higher prevalence in the urban location, all CVD risk factors were significantly higher in urban than rural participants. Some CVD risk factors (hypertension and diabetes) were positively associated with high SES (income) and some others (tobacco use) were negatively associated with employment status. Highest income earners had the highest risk of hypertension (AOR= 2.4, 95% CI 1.5-3.9) and diabetes (AOR= 2.2, 95% CI 1.2-4.1) after adjusting for age, sex and other SES variables. Marital status however showed the most consistent association across all CVD risk factors; widowed participants had a high risk of hypertension (OR=2.1, 95% CI 1.2-3.7) and diabetes (OR=2.0, 95% CI 1.1-3.7), but had the lowest risk of tobacco (OR=0.3, 95% CI 0.14-0.66) and alcohol use (OR=0.3, 95% CI 0.15-0.72). The distribution of CVD risk factors by SES gradient showed inconsistent patterning and difference between the urban and rural participants.Conclusion: In this cohort of adult Black South Africans, high income earning and widowed marital status were associated with higher hypertension and diabetes prevalence, while unemployment was associated with higher tobacco use.Recommendations: CVD risk reduction interventions that recognise the differential susceptibility of individuals in different SES group need to be designed and implemented.Widows and widowers should be given focussed attention in health screening as they may have increased vulnerability to diseases especially CVDs. There is however need for more research to establish the pathway through which SES factors predispose or protect individuals from CVDs.

Cultural intelligence (referred to as CQ) has gained increasing attention from research. This is because of the modern-day relevance to globalisation, international management and work diversification. Demographical shifts towards a more diverse South African population contribute to various challenges for successful cross-cultural interactions for young Afrikaans-speaking South Africans. Selective perception, social categorisation, stereotyping, attribution and diversity among South Africa‟s different cultures (race, gender, language, vocabulary, content, accent and appearances) are barriers that must be overcome. The study was a quantitative study. A cross-sectional survey was used to collect the data and to achieve the research objectives. Convenience and quota sampling methods were used to include a sample of young South Africans from a higher education institution (N=252). The participants were young South African students, white, Afrikaans speaking and between the ages of 18 and 22. Questionnaires were distributed, and the participants completed the questionnaire during class and were given 2 hours to complete the questionnaires. The statistical analysis was carried out with the IBM SPSS statistics and the Mplus 7.11 programme. Product-moment correlation coefficients were used to specify the relationships between the variables and multiple regressions to determine which dimensions of personality and identity predicted CQ. The general objective of this research is to determine the relationship between Identity, Personality and Cultural Intelligence among young South Africans. The Erickson Psychosocial Stage Inventory (EPSI) and the Multi-Ethnic Identity Measure (MEIM) was used to measure personal, ethnic and religious identity. The SAPI-questionnaire was used to measure the constructs, conscientiousness, extraversion, openness, soft-heartedness, relationship-harmony, intellect, integrity and facilitating. Furthermore, the Four Factor Model of Cultural Intelligence Scale was applied to measure the dimensions of CQ, namely, meta-cognitive CQ, cognitive CQ, motivational CQ and behavioural CQ. This study indicated a positive relationship between cognitive CQ and the other three components of CQ. Conscientiousness, emotional stability, extroversion, facilitating, intellect and openness related positively to meta-cognitive CQ. Facilitating, intellect and openness were found to be positively related with motivational CQ. Furthermore, conscientiousness, emotional stability, extroversion, intellect, relationship harmony and soft-heartedness related positively with behavioural CQ. Religious identity has a negative effect on cognitive CQ. Furthermore, intellect, facilitating and ethnic identity predicted meta-cognitive CQ. Soft-heartedness, facilitating, extroversion and religious identity had a positive effect on motivational CQ, influencing young Afrikaans speaking South Africans interest and drive in adapting to cultural differences. Furthermore, soft-heartedness and conscientiousness had a positive effect on behavioural CQ. Recommendations were made for future research and for practise. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2014

Cultural intelligence (referred to as CQ) has gained increasing attention from research. This is because of the modern-day relevance to globalisation, international management and work diversification. Demographical shifts towards a more diverse South African population contribute to various challenges for successful cross-cultural interactions for young Afrikaans-speaking South Africans. Selective perception, social categorisation, stereotyping, attribution and diversity among South Africa‟s different cultures (race, gender, language, vocabulary, content, accent and appearances) are barriers that must be overcome. The study was a quantitative study. A cross-sectional survey was used to collect the data and to achieve the research objectives. Convenience and quota sampling methods were used to include a sample of young South Africans from a higher education institution (N=252). The participants were young South African students, white, Afrikaans speaking and between the ages of 18 and 22. Questionnaires were distributed, and the participants completed the questionnaire during class and were given 2 hours to complete the questionnaires. The statistical analysis was carried out with the IBM SPSS statistics and the Mplus 7.11 programme. Product-moment correlation coefficients were used to specify the relationships between the variables and multiple regressions to determine which dimensions of personality and identity predicted CQ. The general objective of this research is to determine the relationship between Identity, Personality and Cultural Intelligence among young South Africans. The Erickson Psychosocial Stage Inventory (EPSI) and the Multi-Ethnic Identity Measure (MEIM) was used to measure personal, ethnic and religious identity. The SAPI-questionnaire was used to measure the constructs, conscientiousness, extraversion, openness, soft-heartedness, relationship-harmony, intellect, integrity and facilitating. Furthermore, the Four Factor Model of Cultural Intelligence Scale was applied to measure the dimensions of CQ, namely, meta-cognitive CQ, cognitive CQ, motivational CQ and behavioural CQ. This study indicated a positive relationship between cognitive CQ and the other three components of CQ. Conscientiousness, emotional stability, extroversion, facilitating, intellect and openness related positively to meta-cognitive CQ. Facilitating, intellect and openness were found to be positively related with motivational CQ. Furthermore, conscientiousness, emotional stability, extroversion, intellect, relationship harmony and soft-heartedness related positively with behavioural CQ. Religious identity has a negative effect on cognitive CQ. Furthermore, intellect, facilitating and ethnic identity predicted meta-cognitive CQ. Soft-heartedness, facilitating, extroversion and religious identity had a positive effect on motivational CQ, influencing young Afrikaans speaking South Africans interest and drive in adapting to cultural differences. Furthermore, soft-heartedness and conscientiousness had a positive effect on behavioural CQ. Recommendations were made for future research and for practise. / MCom (Industrial Psychology), North-West University, Potchefstroom Campus, 2014

Thesis (Mnutr)--Stellenbosch Univresity, 2004. / ENGLISH ABSTRACT: INTRODUCTION: The aim of this study was to investigate post-immigration BMI changes in a South African immigrant population and how dietary intake and habitual physical activity reflect these changes. The study was designed as a cross-sectional, observational survey. Thirty-six volunteers aged 20 - 50 years were included in the sample. Volunteers were South African immigrants in the Atlanta area, USA, who have lived in the USA for more than 6 months but less than 5 years. METHOD: Subjects were required to complete four questionnaires including a selfadministered socia-demographic, physical activity and food frequency questionnaire. The weight history questionnaire containing measurements including height, weight and waist circumference was completed by the investigator. RESULTS: A significant increase in BMI was indicated for both male (p=0.036) and female (p=0.0009) subjects. The increase in BMI for two age categories, 20-29 years (p = 0.018) and 30-39 years (p = 0.006), was also significant. Forty five percent of females reported an energy intake above the Estimated Energy Requirement (EER) for active individuals. Reported saturated fatty acid intake (13% of TE) exceeded the Acceptable Macronutrient Distribution Range (AMOR). The prevalence of inadequate n-3 and n-6 PUFA as well as fibre intake was high, especially in men. Sixty four percent of the population had a 'low active' physical activity level (PAL). CONCLUSION: The observed increase in post-immigration BMI implies that the South African immigrant population, similar to other immigrant populations, has adopted to some extent, the lifestyle and dietary habits of the general US population. As a result, the South African immigrant population may also be subject to increased chronic disease risk. / AFRIKAANSE OPSOMMING: INLEIDING: Die doel van hierdie studie was om die veranderinge in liggaamsmassa index (LMI) wat met immigrasie gepaard gaan in In Suid-Afrikaanse immigrant populasie te ondersoek, asook hoe die populasie se dieet en fisieke aktiwiteit hierdie veranderinge reflekteer. Die studie was In dwarssnit, observasie opname. Die steekproef het bestaan uit 36 vrywilligers (20 - 50 jaar oud). Respondente was deel van In Suid-Afrikaanse immigrant populasie in die Atlanta area, VSA, wat vir langer as 6 maande en korter as 5 jaar in die VSA woonagtig was. METODE: Respondente is versoek om vier vraelyste te voltooi insluitende In sosiodemografiese, fisieke aktiwiteit, -en voedsel frekwensie vraelys. Antropometriese metings, insluitende massa, lengte en middelomtrek is deur die navorser op die massa geskiedenis vraelys aangeteken. RESULTATE: In Betekenisvolle toename in LMI vir beide mans (p=0.036) en vroue (p=0.0009) is gevind. Die toename in LMI vir respondente 20-29 jaar (p = 0.018) en 30- 39 jaar (p = 0.006) was ook betekenisvol. Vyf-en-veertig persent vroue se energie inname was hoër as die aanbevole daaglikse inname vir aktiewe individue. Die populasie se versadigde vetsuur inname (13% van totale energie) was hoër as die aanvaarbare makronutriënt verspreiding. Die prevalensie vir onvoldoende innname van n-3 en n-6 poli-onversadigde vetsure, asook vesel inname was hoog, veralonder mans. Vier-en-sestig persent van die populasie se fisieke aktiwiteit vlak is geklassifiseer as 'lae aktiwiteit' . GEVOLGTREKKING: Die waargenome toename in LMI impliseer dat die studie populasie, soortgelyk aan ander immigrant populasies, die lewensstyl en dieet gewoontes van die algemene Amerikaanse populasie tot In sekere mate aangeneem het en is dus ook onderhewig aan die gevolglike toename in risiko vir kroniese siekte van lewensstyl.

Thesis (MPhil (Journalism))--University of Stellenbosch, 2006. / Although reputation management has historically been restricted to companies or other organisational entities, countries are also increasingly concerned with their reputation relative to other countries and have started to actively measure and manage that reputation1. Over the past years, the Republic of South Africa has begun to professionally streamline its own reputation management activities, specifically by establishing the International Marketing Committee (IMC) in August 2000. South African Tourism, the media division of the South African diplomatic sector and even South African Airways are other reputation management vehicles that have been working toward emanating a comprehensive marketing and communication message from South Africa to other countries. The basis of good reputation management is to first measure such reputation2. It is also important to know what aspects are the main drivers of such reputation. Using the content of specific German newspapers as data body, this study determines the drivers of South Africa’s media reputation in Germany. In order to accurately set the scene for an analysis of South Africa’s reputation, a thorough situation analysis on the country is conducted. This situation analysis forms the backbone for the methodology used further on to investigate the drivers of South Africa’s reputation in specific German media. To this end, a large part of the situation analysis looks at South Africa in terms of Germany and a study is conducted on the relationship between Germany and South Africa as well as the potential stakeholders of South Africa’s media reputation in Germany. It is also important to know what current efforts in terms of reputation management are. After studying the history of South Africa’s reputation management activities, members of today’s reputation management vehicles are interviewed and an overview of South African reputation management efforts currently active in Germany is provided. The reputation management activities of other countries are briefly explored and specifically the lessons from other countries’ efforts are highlighted. Subsequently, the reputational dimensions that positively or negatively drive South Africa’s reputation in specific German media are determined. To this end, a content analysis is conducted on the seven German national daily newspapers, Börsen- Zeitung, Die Welt, Frankfurter Allgemeine Zeitung, Frankfurter Rundschau, Financial Times Deutschland, Handelsblatt and Süddeutsche Zeitung3 over a period of 20 months. The findings made culminate in suggestions for South Africa’s future reputation management activities in Germany.