Thesis (Ph.D.)--University of Florida, 2004. / Typescript. Title from title page of source document. Document formatted into pages; contains 119 pages. Includes Vita. Includes bibliographical references.

Diss. (sammanfattning) Uppsala : Univ., 2002. / Härtill 5 uppsatser.

Diss. (sammanfattning) Linköping : Univ., 2002. / Härtill 6 uppsatser.

by Yeung Hiu Yan. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1999. / Includes bibliographical references (leaves 158-171). / Abstracts in English and Chinese. / ACKNOWLEDGEMENT --- p.i / ABBREVIATIONS --- p.ii / ABSTRACT (English & Chinese) --- p.iii / TABLE OF CONTENT --- p.viii / INDEX FOR FIGURES --- p.xii / INDEX FOR TABLES --- p.xvi / Chapter 1. --- INTRODUCTION --- p.2 / Chapter 1.1. --- History of Distraction Osteogenesis --- p.3 / Chapter 1.2. --- Clinical Application of Distraction Osteogenesis --- p.5 / Chapter 1.2.1. --- Limb-Lengthening --- p.5 / Chapter 1.2.2. --- Correction of Deformities and Non-Unions --- p.5 / Chapter 1.2.3. --- Bone Transport --- p.6 / Chapter 1.2.4. --- Reconstruction of the mandible --- p.7 / Chapter 1.3. --- Bone-specific Alkaline Phosphatase (BALP) --- p.8 / Chapter 1.4. --- Osteocalcin --- p.9 / Chapter 1.5. --- Bone Growth Factors --- p.11 / Chapter 1.6. --- Fibroblast Growth Factors (FGFs) --- p.12 / Chapter 1.6.1. --- Acidic Fibroblast Growth Factor (aFGF) --- p.13 / Chapter 1.6.2. --- Basic Fibroblast Growth Factor (bFGF) --- p.14 / Chapter 1.7. --- Transforming Growth Factor-pi (TGF-β1) --- p.16 / Chapter 1.8. --- Fracture Healing --- p.18 / Chapter 1.8.1. --- Histology --- p.18 / Chapter 1.8.2. --- Growth Factor Expression --- p.18 / Chapter 1.9. --- Distraction Osteogenesis --- p.19 / Chapter 1.9.1. --- Histology --- p.19 / Chapter 1.9.2. --- Growth Factor Expression --- p.20 / Chapter 1.10. --- Aim of the Study --- p.21 / Chapter 2. --- METHODOLOGY --- p.23 / Chapter 2.1. --- Animal Model --- p.23 / Chapter 2.1.1. --- Source of Animal --- p.23 / Chapter 2.1.2. --- Animal Operation --- p.23 / Chapter 2.1.3. --- Fracture Healing Model --- p.24 / Chapter 2.1.4. --- Distraction Osteogenesis Model --- p.24 / Chapter 2.2. --- Sample Collection --- p.25 / Chapter 2.2.1. --- Tissue Sample Collection and Preparation --- p.25 / Chapter 2.2.1.1. --- Test for the Complete Decalcification of the Calluses --- p.26 / Chapter 2.2.2. --- Blood Sample Collection and Storage --- p.26 / Chapter 2.3. --- Bone Mineral Density Measurement of the Distracted Callus and the Fracture Callus --- p.27 / Chapter 2.3.1. --- Fracture Healing Group --- p.27 / Chapter 2.3.2. --- Distraction Osteogenesis Group --- p.28 / Chapter 2.4. --- Serum Bone Specific Alkaline Phosphatase (BALP) Activity --- p.28 / Chapter 2.4.1. --- Wheat Germ Lectin (WGL) Precipitation of BALP --- p.28 / Chapter 2.4.1.1. --- Reagent --- p.28 / Chapter 2.4.1.2. --- Preparation and Measurement of Samples --- p.29 / Chapter 2.4.1.3. --- Auto-analyzer Setup --- p.30 / Chapter 2.5. --- Quantification of the Osteocalcin in Serum --- p.30 / Chapter 2.5.1. --- Reagent and Sample Preparation --- p.31 / Chapter 2.5.2. --- Detection Procedures --- p.31 / Chapter 2.6. --- Localization of the Growth Factors in Distraction Osteogenesis and Fracture Healing --- p.32 / Chapter 2.6.1. --- Immunohistochemistry of the Growth Factors --- p.33 / Chapter 2.6.1.1. --- Reagents and Solution Preparation --- p.33 / Chapter 2.6.1.2. --- Experimental Procedure --- p.36 / Chapter 2.6.1.3. --- Evaluation of Immunohistochmical Staining Results --- p.37 / Chapter 2.6.2. --- Verification of the Primary Antibody Used in the Study --- p.37 / Chapter 2.6.2.1. --- Tissue Preparation --- p.37 / Chapter 2.6.2.2. --- Antibody to Acidic Fibroblast Growth Factor (aFGF) --- p.38 / Chapter 2.6.2.2.1. --- Immunohistochemistry of Goat Brain and Growth Plate --- p.38 / Chapter 2.6.2.2.2. --- Dot Blot --- p.38 / Chapter 2.6.2.2.2.1. --- Materials and Reagents --- p.38 / Chapter 2.6.2.2.2.2. --- Procedures --- p.39 / Chapter 2.6.2.2.3. --- Sodium Dodecylsulphate Polyacrylamide Gel Electrophoresis (SDS-PAGE) --- p.41 / Chapter 2.6.2.2.3.1. --- Materials and Reagents --- p.41 / Chapter 2.6.2.2.3.2. --- Procedures --- p.42 / Chapter 2.6.2.2.4. --- Western Blotting --- p.43 / Chapter 2.6.2.2.4.1. --- Materials and Reagents --- p.43 / Chapter 2.6.2.2.4.2. --- Procedures --- p.44 / Chapter 2.6.2.3. --- Antibody to Basic Fibroblast Growth Factor --- p.45 / Chapter 2.6.2.4. --- Antibody to Transforming Growth Factor-β1 --- p.45 / Chapter 3. --- RESULTS --- p.53 / Chapter 3.1. --- Animal Model --- p.53 / Chapter 3.1.1. --- Fracture Healing Animal Model --- p.53 / Chapter 3.1.1.1. --- Radiography of Fracture Healing --- p.53 / Chapter 3.1.2. --- Distraction Osteogenesis Animal Model --- p.54 / Chapter 3.1.2.1. --- Gross Morphology of Distraction Osteogenesis --- p.54 / Chapter 3.1.2.2. --- Radiography of Distraction Osteogenesis --- p.55 / Chapter 3.2. --- Bone Mineral Density (BMD) Measurement --- p.56 / Chapter 3.2.1. --- In Fracture Healing --- p.56 / Chapter 3.2.2. --- Distraction Osteogenesis --- p.57 / Chapter 3.3. --- Bone-specific Alkaline Phosphatase Activity in Goat Serum --- p.59 / Chapter 3.3.1 --- ", Fracture Healing" --- p.59 / Chapter 3.3.2. --- Distraction Osteogenesis --- p.59 / Chapter 3.4. --- Serum Osteocalcin Measurement --- p.60 / Chapter 3.4.1. --- Fracture Healing --- p.60 / Chapter 3.4.2. --- Distraction Osteogenesis --- p.60 / Chapter 3.5. --- Histology --- p.61 / Chapter 3.5.1. --- Fracture Healing --- p.61 / Chapter 3.5.2. --- Distraction Osteogenesis --- p.64 / Chapter 3.6. --- Verification of Primary Antibody Used in the Study --- p.67 / Chapter 3.6.1. --- Antibody to Acidic Fibroblast Growth Factor --- p.67 / Chapter 3.6.1.1. --- Dot Blot --- p.67 / Chapter 3.6.1.2. --- Western Blotting --- p.68 / Chapter 3.6.1.3. --- Immunohistochemistry of Goat Brain and Growth Plate --- p.68 / Chapter 3.6.2. --- Antibody to Basic Fibroblast Growth Factor --- p.69 / Chapter 3.6.2.1. --- Dot Blot --- p.69 / Chapter 3.6.2.2. --- Immunohistochemistry of Goat Brain and Growth Plate --- p.69 / Chapter 3.6.3. --- Antibody to Transforming Growth Factor-β1 --- p.70 / Chapter 3.6.3.1. --- Western Blotting --- p.70 / Chapter 3.6.3.2. --- Immunohistochemistry of Growth Plate --- p.70 / Chapter 3.7. --- Localization of Growth Factors in Fracture Healing and Distraction Osteogenesis --- p.70 / Chapter 3.7.1. --- Acidic Fibroblast Growth Factor --- p.71 / Chapter 3.7.1.1. --- Fracture Healing --- p.71 / Chapter 3.7.1.2. --- Distraction Osteogenesis --- p.72 / Chapter 3.7.2. --- Basic Fibroblast Growth Factor --- p.73 / Chapter 3.7.2.1. --- Fracture Healing --- p.73 / Chapter 3.7.2.2. --- Distraction Osteogenesis --- p.74 / Chapter 3.7.3. --- Transforming Growth Factor-β1 --- p.75 / Chapter 3.7.3.1. --- Fracture Healing --- p.75 / Chapter 3.7.3.2. --- Distraction Osteogenesis --- p.76 / Chapter 4. --- DISCUSSION --- p.142 / Chapter 4.1. --- The Biochemical Events in Fracture Healing --- p.142 / Chapter 4.2. --- The Biochemical Events in Distraction Osteogenesis --- p.147 / Chapter 4.3. --- Limitations of the present study --- p.153 / Chapter 4.4. --- Future Study --- p.154 / Chapter 5. --- CONCLUSION --- p.156 / BIBLIOGRAPHY --- p.158

Avaliou-se a influência da exposição ao flúor (F) através da água de beber, da velocidade de crescimento das unhas, da idade e do gênero na concentração deste elemento nas unhas das mãos e dos pés. Em adição, verificou-se a correlação entre as concentrações de F na saliva total, saliva do ducto da parótida e unhas das mãos e dos pés. Participaram do estudo 300 indivíduos, das faixas etárias de 3-7,14-20, 30-40 e 50-60 anos, residentes de cinco comunidades brasileiras, sendo duas no Estado de São Paulo (Pirajuí e Bauru, com água não fluoretada e 0,7 mgF/L na água de abastecimento, respectivamente) e três no Estado da Paraíba (Cajazeirinhas, Brejo dos Santos e Brejo das Freiras, com 0,2, 0,7 e 1,7 mgF/L na água de consumo, respectivamente). Foram coletadas duas ou três (apenas em Bauru) amostras de água de beber, além de duas amostras de: unhas dos pés, unhas das mãos, saliva total e saliva do ducto da parótida de cada indivíduo. O F nas amostras foi analisado com eletrodo íon-específico. Os dados obtidos foram analisados estatisticamente através de análise de variância e regressão linear (p<0,05). A exposição ao F através da água de beber, a velocidade de crescimento das unhas, a idade e o gênero influenciaram a concentração de F nas unhas das mãos e dos pés, sendo que o fator de exposição ao F através da água foi o que exerceu maior influência pelo modelo de regressão linear adotado. As unhas dos pés (R2=0,46) se mostraram melhores indicadoras de exposição ao F do que as das mãos (R2=0,24). Foi encontrada uma correlação negativa significativa entre velocidade de crescimento das unhas e concentração de F nas mesmas. Houve correlação positiva significativa entre concentração de F nas unhas das mãos e dos pés com: saliva total (r=0,36 e r=0,41) e saliva do ducto da parótida (r=0,25 e r=0,53), respectivamente. Também se observou correlação positiva entre saliva total e do ducto da parótida (r=0,24), bem como entre concentração de F na água e saliva total (r=0,41) e saliva do ducto (r=0,65). Todos os fatores testados influenciaram os níveis de F nas unhas e, portanto, devem ser levados em consideração quando se utiliza este marcador biológico. / The influence of fluoride (F) concentration in the drinking water, nails growth rate, age and gender upon the F content in fingernail and toenail were evaluated. In addition, the correlations among the F concentrations in whole saliva, parotid ductal saliva and finger/toenails were verified. Three hundred volunteers of 3-7, 14-20, 30-40, 50-60 years participated. They were residents of five Brazilian communities, two in Sao Paulo State (Pirajuí and Bauru, non-fluoridated and 0.7 mgF/L artificially fluoridated drinking water, respectively) and three in Paraiba State (Cajazeirinhas, Brejo dos Santos and Brejo das Freiras, 0.2, 0.7 and 1.73 mgF/L naturally fluoridated drinking water, respectively). Two or three samples of drinking water, and two samples of fingernails, toenails, whole saliva and ductal saliva were collected from each volunteer, with one-week interval period between the collections. F in water, whole saliva, ductal saliva and nails was determined using the ion-sensitive electrode. Data were analyzed by ANOVA and linear regression (p<0.05). The F exposure from the drinking water, nails growth rate, age and gender influenced the levels of F in fingernails and toenails. Considering the model of multivariate linear regression adopted, F exposure from the water influenced the most. Toenails (R2=0.46) seemed to be better indicators of F than fingernails (R2=0.24). It was found a significant negative correlation between nails growth rate and their content of F. Positive correlations were found between F concentration in fingernails and toenails and: F concentration in whole saliva (r=0.36 and r=0.41) and in parotid ductal saliva (r=0.25 and r=0.53), respectively. Moreover, it was observed a positive correlation between whole and parotid saliva (r=0.24), as well as between F concentration in the drinking water and whole (r=0.41) and parotid saliva (r=0.65). All factors that influenced nails F concentration must be taken into account when using them as biological markers.

by Au Sze Ki. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1997. / Includes bibliographical references (leaves xii-xix). / Acknowledgement --- p.i / Table of Content --- p.ii / List of Abbreviation --- p.vi / Abstract --- p.viii / Chapter Chapter One : --- Introduction / Chapter 1.1. --- Osteosarcoma --- p.1 / Chapter 1.1.1. --- Definition --- p.1 / Chapter 1.1.2 --- "Incidence, geographic patterns of distribution and epidemiological consideration" --- p.1 / Chapter 1.1.3 --- "Age, sex and sites" --- p.3 / Chapter 1.1.4 --- Type and grade --- p.5 / Chapter 1.1.4.1. --- Grade --- p.5 / Chapter 1.1.4.2. --- Site --- p.5 / Chapter 1.1.4.3. --- Metastasis --- p.5 / Chapter 1.1.5 --- Histological features --- p.9 / Chapter 1.1.6 --- Clinical features --- p.9 / Chapter 1.1.7 --- Radiological features --- p.11 / Chapter 1.1.8. --- Molecuar genetics --- p.13 / Chapter 1.1.9 --- Treatment --- p.13 / Chapter 1.2 --- Biochemical Markers of Osteosarcoma --- p.14 / Chapter 1.2.1 --- Tumor marker --- p.14 / Chapter 1.2.2 --- Biochemical markers of bone turnover --- p.15 / Chapter 1.2.3 --- Change of biochemical marker in osteosarcoma --- p.17 / Chapter 1.3 --- Alkaline Phosphatase (ALP) --- p.17 / Chapter 1.3.1 --- ALPs Family --- p.20 / Chapter 1.3.2 --- Membrane binding --- p.22 / Chapter 1.3.3 --- Biochemical function and physiological role of ALP --- p.24 / Chapter 1.4 --- Normal values of serum ALP --- p.28 / Chapter 1.5 --- Clinical applications of ALP --- p.28 / Chapter 1.6 --- "Separation, identification and quantification of ALP isozymes" --- p.31 / Chapter 1.6.1 --- Themostability --- p.31 / Chapter 1.6.2 --- Inhibition studies --- p.31 / Chapter 1.6.3 --- Electrophoresis --- p.33 / Chapter 1.6.4 --- Isoelectric focusing --- p.34 / Chapter 1.6.5 --- Affinity precipitation --- p.34 / Chapter 1.6.6 --- Immunological studies --- p.35 / Chapter 1.7 --- Plasma BALP level as biochemical marker of osteosarcoma --- p.35 / Chapter 1.8 --- ALP in malignancies --- p.37 / Aim of study --- p.x / Chapter Chapter Two : --- Methods and Materials / Chapter 2.1 --- Plasma BALP measurement as a biochemical markerin osteosarcoma --- p.40 / Chapter 2.1.1 --- Patient groups --- p.40 / Chapter a) --- Normal subjects --- p.40 / Chapter b) --- Osteosarcoma patients --- p.40 / Chapter 2.1.2 --- Collection and preparation of patient bloods samples of patients --- p.40 / Chapter 2.1.3 --- Plasma total ALP measurement --- p.41 / Chapter a) --- Reagent --- p.41 / Chapter b) --- Procedure --- p.43 / Chapter 2.1.4 --- Plasma BALP measurements --- p.43 / Chapter a) --- Wheat germ lectin precipitation of BALP --- p.44 / Chapter i) --- Reagent / Chapter ii) --- Procedure / Chapter b) --- ABBOTT methods for plasma BALP activity measurement --- p.45 / Chapter c) --- COBAS MIRA methods for BALP measurement --- p.45 / Chapter d) --- ALKPHASE-B method of BALP measurement --- p.46 / Chapter 2.1.5 --- Inter-conversion of plasma BALP activity measurement in different methods --- p.47 / Chapter 2.1.6 --- Statistical analysis --- p.48 / Chapter 2.2 --- Alkaline phosphatase isozymes expression in human osteosarcoma --- p.48 / Chapter 2.2.1 --- In Vitro cultures of human SaOS-2 and U-2 OS osteosarcoma cell line --- p.48 / Chapter a) --- Reagent --- p.49 / Chapter b) --- Procedure --- p.50 / Chapter i) --- Storage of U-2 OS and SaOS-2 / Chapter ii) --- Subculture of confluent monolayer / Chapter 2.2.2 --- Protein assay --- p.51 / Chapter a) --- Standard Assay --- p.51 / Chapter i) --- Reagent / Chapter ii) --- Procedure / Chapter b) --- Mircoassay --- p.51 / Chapter i) --- Reagent / Chapter ii) --- Procedure / Chapter 2.2.3 --- Extraction of ALP from the cultured osteosarcoma cells --- p.52 / Chapter a) --- Reagent --- p.52 / Chapter b) --- Procedure --- p.52 / Chapter 2.2.4 --- "ALP extraction from human liver, placenta and osteosarcoma tissue" --- p.53 / Chapter a) --- Reagent --- p.53 / Chapter b) --- Procedure --- p.54 / Chapter 2.2.5 --- Isoelectric focusing of ALP --- p.55 / Chapter a) --- Preparation of the agarose IEF gel --- p.55 / Chapter b) --- Samples preparation --- p.56 / Chapter c) --- Isoelectric focusing --- p.57 / Chapter d) --- Protein detection --- p.59 / Chapter i) --- Reagent / Chapter ii) --- Procedure / Chapter e) --- Visualization of ALP isozyme --- p.60 / Chapter 2.2.6 --- Biochemical differentiation of ALP expressed in human osteosarcoma --- p.61 / Chapter a) --- Thermodenaturation of ALP --- p.61 / Chapter b) --- Ammino acid inhibition of ALP --- p.61 / Chapter 2.2.7 --- Immunohistostaining of placental ALP in human Osteosarcoma --- p.62 / Chapter a) --- Reagent --- p.62 / Chapter b) --- Preparation of human osteosarcoma cell line --- p.63 / Chapter c) --- Preparation of human osteosarcoma tissue --- p.63 / Chapter d) --- Immunohistostaining --- p.64 / Chapter Chapter Three : --- Results / Chapter 3.1 --- General information of the patients --- p.65 / Chapter 3.1.1 --- Age and sex distribution --- p.65 / Chapter 3.1.2 --- Sites --- p.65 / Chapter 3.1.3 --- Treatment and survival rate --- p.66 / Chapter 3.2 --- Clinical significance of plasma bone-specific alkaline phosphatase (BALP) activity measurementin osteosarcoma patients --- p.71 / Chapter 3.2.1 --- Plasma BALP activity measurement --- p.71 / Chapter 3.2.2 --- Normal reference of plasma BALP determination --- p.72 / Chapter 3.2.3 --- Diagnostic value of plasma BALP measurement in osteosarcoma --- p.75 / Chapter a) --- Plasma BALP level at admission --- p.75 / Chapter b) --- Plasma Total ALP level at admission --- p.78 / Chapter 3.2.4 --- Prognosis value of plasma BALP measurement in osteosarcoma Patients --- p.78 / Chapter a) --- Correlation of plasma BALP-Adm with the local relapse of the disease --- p.78 / Chapter b) --- Correlation of plasma BALP-Adm with survival rate of the patients --- p.90 / Chapter i) --- One year survival Rate / Chapter ii) --- two-year survival Rate / Chapter iii) --- Three-year survival rate / Chapter c) --- Correlation of the plasma BALP-Adm with the tumor volume --- p.90 / Chapter 3.2.5 --- Using plasma BALP measurement for monitoring of the disease --- p.91 / Chapter a) --- Effectiveness of pre-operative chemotherapy --- p.91 / Chapter b) --- Change of plasma BALP level during the treatment --- p.92 / Chapter i) --- Monitoring of pre-operative chemotherapy / Chapter ii) --- Detection of local recurrence and secondary metastasis / Chapter 3.3 --- Alkaline phosphatase isozyme expressionin osteosarcoma --- p.103 / Chapter 3.3.1 --- Isoelectric point (pI) gradient in isoelectric focusing (IEF)gel --- p.10? / Chapter 3.3.2 --- ALP isozyme standard --- p.103 / Chapter 3.3.3 --- Ectopic expression of ALP in human osteosarcoma cell line: U-2 OS and SaOS-2 --- p.104 / Chapter a) --- Isoelectric focusing separation --- p.104 / Chapter b) --- Biochemical differentiation of ALP extracts --- p.110 / Chapter 3.3.4 --- Alkaline phosphatase expression in osteosarcoma patient plasma sample --- p.110 / Chapter 3.3.5 --- Alkaline phosphatase isozyme expression in human osteosarcoma biopsy tissue --- p.111 / Chapter 3.3.6 --- Ectopic expression of placental ALP in human osteosarcoma by immunohistochemistry --- p.111 / Chapter a) --- Ectopic expression of placental ALP in human osteosarcoma cell line U-2 OS --- p.111 / Chapter b) --- Ectopic expression of placental ALP in human osteosarcoma tissue sections --- p.112 / Chapter Chapter Four : --- Discussion --- p.128 / Chapter Chapter Five : --- Conclusion --- p.142 / Bibliography --- p.xii / Appendix --- p.xx

The cross-sectional Biomarkers Study was undertaken in Canberra, Australia (2000-2002) to examine the role of psychosocial factors in the socioeconomic health gradient, via physiological changes consequent upon activation of the neuroendocrine stress response.¶ The study population was derived from healthy 40-44 year old men and women already participating in a longitudinal cohort study. Using data from the cohort study, four groups with similar occupational status were formed. The study sample was randomly selected within these groups, thus representing the socioeconomic spectrum.¶ A pilot study involved 60 participants with blood and saliva samples measured on two occasions. A further 302 people had blood and saliva samples taken on one occasion. Socioeconomic status was measured by occupational code and status, personal and household income, education and perceived position in the community and in Australia. Psychosocial and behavioural factors, including job strain, job security, coping style, anxiety, depression, optimism, self-esteem, sense of belonging and trust, social support, smoking, exercise and alcohol intake were assessed by selfreport. Five biological parameters: plasma fibrinogen, glycated haemoglobin, waisthip ratio, serum neopterin and salivary IgA were measured as outcome variables.Three hypotheses were tested:¶ 1. There is a socioeconomic gradient in measures of psychosocial stress, and of psychological resilience.¶ 2. There is a socioeconomic gradient in biological measures that have a plausible¶ association with future disease. 3. Psychosocial factors mediate the demonstrated association between socioeconomic status and the biological measures.¶ Data analysis confirmed a socioeconomic gradient in some psychosocial and behavioural variables: economic strain (r=-0.44, p&lt0.001), job demands (r=0.45, p&lt0.001), job control (r=0.26, p&lt0.001), active coping style (r=0.28, p &lt0.001), sense of optimism (r=0.24, p&lt0.001), social capital (r=0.26, p&lt0.001), job security (r=0.17, p=0.002), job marketability (r=-0.16, p=0.005), sense of belonging (r=0.22, p&lt0.001), number of adverse life events (r=-0.13, p=0.01) and positive interaction with family and friends (r=0.20, p&lt0.001 ), vigorous physical activity (r=-0.16, p=0.002), alcohol consumption (r=0.30, p&lt0.001) and smoking status (r=-0.25, p&lt0.001). There was no socioeconomic gradient in anxiety, depression, neuroticism, hostility, locus of control, self-esteem, perceived stress or mental health (SF-12). Four of the five biological markers varied with socioeconomic status: plasma fibrinogen (female (F): r=-0.26, p=0.002, male (M) r=-0.08, p=0.30), glycated haemoglobin (F: r=-0.23, p=0.01, M: r=-0.11, p=0.17), waist-hip ratio (F: r=-0.19, p=0.03, M: r=-0.27, p&lt0.001), serum neopterin (F: r=-0.21, p=0.009, M: r=-0.04, p=0.56), salivary IgA (F: r=-0.07, p=0.38, M: r=0.004, p=0.97). A more adverse biological profile was associated with lower socioeconomic status. Work characteristics, coping style, smoking and exercise were particularly important mediators of the association between the biological markers and socioeconomic status. Particular psychosocial factors were consistent mediators of the association between specific biomarkers and socioeconomic status (with little variation for different measures of socioeconomic status). However, the particular psychosocial factors providing significant mediation varied for the different markers.¶ In this sample of healthy 40-44 year olds, four out of five biological markers showed moderate socioeconomic variation with a more favourable profile associated with higher SES. The data provide limited support for the importance of psychosocial factors in the socioeconomic health gradient.

Diss. (sammanfattning) Stockholm : Karolinska institutet, 2009. / Härtill 5 uppsatser.

Thesis (Ph. D.)--University of Washington, 2002. / Vita. Includes bibliographical references (p. 174-179).

Diss. (sammanfattning) Stockholm : Karolinska institutet, 2007. / Härtill 5 uppsatser.