Although typical clinical onset does not occur until adulthood, cardiovascular disease (CVD) may have a long natural history with accumulation of risks beginning in early life and continuing through childhood and into adolescence and adulthood. Therefore, it is important to adopt a life-course approach to explore accumulation of risks, as well as identifying age-defined windows of susceptibility, from early life to disease onset. This thesis examines characteristics in adolescence and adulthood linked with subsequent risk of CVD. One area is concerned with physical and psychological characteristics in adolescence, which reflects inherited and acquired elements from childhood, and their association with occurrence and outcome of subsequent stroke and coronary heart disease many years later. The second area focuses on severe infections and subsequent delayed risk of CVD. Data from several Swedish registers were used to provide information on a general population-based cohort of men. Some 284 198 males, born in Sweden from 1952 to 1956 and included in the Swedish Military Conscription Register, form the basis of the study cohort for this thesis. Our results indicate that characteristics already present in adolescence may have an important role in determining long-term cardiovascular health. Stress resilience in adolescence was associated with an increased risk of stroke and CHD, working in part through other CVD factors, in particular physical fitness. Stress resilience, unhealthy BMI and elevated blood pressure in adolescence were also associated with aspects of stroke severity among survivors of a first stroke. We demonstrated an association for severe infections (hospital admission for sepsis and pneumonia) in adulthood with subsequent delayed risk of CVD, independent of risk factors from adolescence. Persistent systemic inflammatory activity which could follow infection, and that might persist long after infections resolve, represents a possible mechanism. Interventions to protect against CVD should begin by adolescence; and there may be a period of heightened susceptibility in the years following severe infection when additional monitoring and interventions for CVD may be of value.

This study, which is focused on addressing the rising prevalence of gestational diabetes mellitus (GDM) in South Asians begins from the perspective that the development of diabetes has scope across public health and anthropology. The onset and progression are rooted within social determinants of health and cultural practices. Similarly, pregnancy—which is a crucial component of the life course—is a time where not only nutrients are shared between mother and child, but also when knowledge is exchanged, and cultural ways are imparted to the pregnant person from their friends and family. Within the South Asian community of Southern Ontario, recent public health evidence demonstrates a high rate of GDM where 1 in 3 South Asians will develop the condition. Babies born to GDM mothers are of higher birthweight and percent body fat than those of non-GDM mothers. Interventions to prevent GDM are important because GDM itself is a risk factor for postpartum obesity, diabetes, and atherosclerosis in the mother, and also because infants with more adipose tissue are more likely to become insulin resistant in adolescence and develop diabetes and cardiovascular disease as adults. Discussions to strengthen the public health response to this challenge can incorporate evidence-based counselling tools (e.g., easily scalable knowledge translation (KT) tools) that can be used by prenatal clinicians providing primary care. Given that diet and physical activity can be influenced not only by an individual locus of control, but also by familial interactions/networks and cultural/traditional foods and expectations, there is a need to better understand and weave in these experiences. I sought to better understand 1) the prenatal lifestyle counselling experiences of South Asians and their family doctors; and 2) the KT tools that have been designed and used in this population; then I used these learnings to develop and evaluate a conceptually-informed, evidence-based KT tool for pregnant South Asians and their family physicians. This dissertation begins with an introduction of patient and provider experiences with lifestyle change. I then present a systematic review and narrative synthesis of prenatal KT tools designed for South Asians. This is followed by a case report that outlines the process taken to develop a patient-facing and provider-facing KT tool (‘SMART START’). Next, I include the design and evaluation of a mixed methods pilot evaluation study of ‘SMART START.’ Finally, I culminate with an epilogue that ties in lessons learned and challenges that were overcome throughout the conduct of this work. The concluding chapter also includes a link to a video that captures the story behind this dissertation and the documentation of how all the aforementioned pieces are nested within and built upon one another. / Dissertation / Candidate in Philosophy

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

Measuring socioeconomic position (SEP) in population chronic disease and risk factor surveillance systems is essential for monitoring changes in socioeconomic inequities in health over time. A life course approach in epidemiology considers the long-term effects of physical and social exposures during gestation, childhood, adolescence, and later adult life on health. Previous studies provide evidence that socioeconomic factors at different stages of the life course influence current health status. Measures of SEP during early life to supplement existing indicators of current SEP are required to more adequately explain the contribution of socioeconomic factors to health status and monitor health inequities. The aim of this thesis was to examine how a life course perspective could enhance the monitoring of SEP in chronic disease and risk factor surveillance systems. The thesis reviewed indicators of early life SEP used in previous research, determined indicators of early life SEP that may be useful in South Australian surveillance systems, and examined the association of SEP over the life course and self-rated health in adulthood across different population groups to demonstrate that inclusion of indicators of early life SEP in surveillance systems could allow health inequities to be monitored among socially mobile and stable groups. A variety of indicators, such as parents’ education level and occupation, and financial circumstances and living conditions during childhood, have been used in different study designs in many countries. Indicators of early life SEP used to monitor trends in the health and SEP of populations over time, and to analyse long-term effects of policies on the changing health of populations, need to be feasible to measure retrospectively, and relevant to the historical, geographical and sociocultural context in which the surveillance system is operating. Retrospective recall of various indicators of early life SEP was examined in a telephone survey of a representative South Australian sample of adults. The highest proportions of missing data were observed for maternal grandfather’s occupation, and mother’s and father’s highest education level. Family structure, housing tenure, and family financial situation when the respondent was aged ten, and mother and father’s main occupation had lower item non-response. Respondents with missing data on early life SEP indicators were disadvantaged in terms of current SEP compared to those who provided this information. The differential response to early life SEP questions according to current circumstances has implications for chronic disease surveillance examining the life course impact of socioeconomic disadvantage. While face-to-face surveys are considered the gold standard of interviewing techniques, computer-assisted telephone interviewing is often preferred for cost and convenience. Recall of father’s and mother’s highest education level in the telephone survey was compared to that obtained in a face-to-face interview survey. The proportion of respondents who provided information about their father’s and mother’s highest education level was significantly higher in the face-to-face interview than in the telephone interview. Survey mode, however, did not influence the finding that respondents with missing data for parents’ education were more likely to be socioeconomically disadvantaged. Alternative indicators of early life SEP, such as material and financial circumstances, are likely to be more appropriate than parents’ education for life course analyses of health inequities using surveillance data. Questions about family financial situation and housing tenure during childhood and adulthood asked in the cross-sectional telephone survey were used to examine the association of SEP over the life course with self-rated health in adulthood. Disadvantaged SEP during both childhood and adulthood and upward social mobility in financial situation were associated with a reduced prevalence of excellent or very good health, although this relationship varied across gender, rurality, and country of birth groups. Trend data from a chronic disease and risk factor surveillance system indicated that socioeconomic disadvantage in adulthood was associated with poorer self-rated health. The surveillance system, however, does not currently contain any measures of early life SEP. Overlaying the social mobility variables on the surveillance data indicated how inequities in health could be differentiated in greater detail if early life SEP was measured in addition to current SEP. Inclusion of life course SEP measures in surveillance will enable monitoring of health inequities trends among socially mobile and stable groups. Life course measures are an innovative way to supplement other SEP indicators in surveillance systems. Considerable information can be gained with the addition of a few questions. This will provide further insight into the determinants of health and illness and enable improved monitoring of the effects of policies and interventions on health inequities and intergenerational disadvantage. / http://proxy.library.adelaide.edu.au/login?url= http://library.adelaide.edu.au/cgi-bin/Pwebrecon.cgi?BBID=1367190 / Thesis (Ph.D.) - University of Adelaide, School of Population Health and Clinical Practice, 2009

Made available in DSpace on 2014-08-20T13:58:00Z (GMT). No. of bitstreams: 1 Dissertacao_Jeovany_Mesa.pdf: 493634 bytes, checksum: 2f34996b8fc369ea79d0d558f99a156c (MD5) Previous issue date: 2006-11-20 / Background: there is evidence that rapid growth in early childhood produces negative effects on health in later periods. However, the relationship between these early factors and puberty, especially with regard to the onset of menarche, has been poorly studied. Methods: the current study included 2083 women belonging to The 1982 Pelotas Birth-Cohort Study. Statistical analyses employed Pearson X2 and X2 for linear trends.Moreover, multivariate analyses were performed using Poisson regression, following a hierarquical model reflecting a life-course approach. Results: the mean of age of menarche was 12.4 years and the prevalence of menarche before age 12 was 24.3%. Increasing Z-score values for weight/age, height/age and weight/height at 19.4 and 43.1 months corresponded to linear tendencies of increasing prevalence and relative risks for the onset of menarche before age 12. The relative risks were systematically higher at 43.1 months than at 19.4 months. In addition, those girls who experienced rapid growth (gaining 0.67 Z-score or more) between birth and 19.4 months for weight/age Z-score or between 19.4 and 43.1 months for weight/age or height/age Z-score also showed greater risk. The risk of menarche before age 12 was highest when rapid growth in weight/age Z-score occurred in both periods and showed the highest value among girls who experience it and belonged to the first Williams curves tertile at birth. Rapid growth in weight/height Zscore was not associated with menarche before age 12. Conclusions: menarche is influenced by nutritional status and growth patterns in early childhood. For that reason, avoiding overweight and obesity in early childhood and keeping the normal pattern of growth- avoiding accelerated growth increments in early childhood- seems to be significant preventing health outcome in future life. / A idade da menarca (primeiro sangramento menstrual) é um sinal do começo da fase reprodutiva da mulher, e é considerado por alguns um importante preditor da saúde na adolescência, na vida adulta e também da vida após a menopausa. Ocorre, após a menarca, uma grande maturação uterina, que permite o acontecimento da gravidez. A menarca tem sido estudada em associação com numerosos fatores como raça, etnia e aspetos genéticos. A idade da menarca tem sido usada como preditor do Índice de Massa Corporal (IMC) na vida adulta, como fator de risco para algumas doenças, entre elas, o câncer de mama e, em associação com o desenvolvimento de doenças psiquiátricas como a depressão na vida adulta, entre outros. A adolescência, fase do ciclo vital comumente marcada pela ocorrência da menarca, é considerada um período de grandes desequilíbrios metabólicos e hormonais, que facilitam o desenvolvimento de doenças crônicas como a obesidade, especialmente nas meninas. No National Longitudinal Study of Adolescent Health, realizado nos Estados Unidos, mulheres com menarca precoce foram duas vezes mais propensas ao sobrepeso quando adultas. Em contraposição, segundo estudo da coorte de Bogulasa, a obesidade na vida adulta esteve mais relacionada com obesidade na infância que com a idade da menarca.