Biological Measures of Well-Being is organized into four distinct sections that together examine the interlink between physical and emotional well-being. The first section introduces the reader to the correlation among well-being with the environment, economic status, and biological measures. The second section outlines the blood and body fluids as biological correlates of well-being. The third section reviews physiology and imaging as biological correlates of well-being. The fourth discusses the genetic correlations of well-being. Written by international experts in the field, this book
will be the single source researchers and clinicians will need to understand well-being and its interlink with biological measures.
1. Title of Book - p. ii 2. Cover image - p. ii 3. Title page - p. ii 4. Table of Contents - p. iii 5. Disclaimer - p. i 6. Copyright - p. iv 7. Contributors - p. xi 8. Preface - p. xiii 9. Section 1. Introductory chapters, correlates, and setting the scene - p. S1 10. Chapter 1. Biopsychosocial aspects of mental health: A focus on the school environment - p. 3 11. Chapter 2. Mental well-being and the use of social media - p. 19 12. Chapter 3. Well-being and quality of life among youths with a mental health issue - p. 31 13. Chapter 4. The medical professions and their mental and physical well-being - p. 43 14. Chapter 5. The bidirectional relationship of poor physical well-being and stress - p. 59 15. Section 2. Body fluids as biological correlates of well-being - p. S2 16. Chapter 6. Low-density lipoprotein (LDL) in serum and measures of well-being - p. 73 17. Chapter 7. Cortisol, well-being and the older person - p. 87 18. Chapter 8. Endocannabinoid system, inflammation, and mental well-being - p. 97 19. Chapter 9. Beta-endorphin and negative well-being traits - p. 113 20. Chapter 10. Positive psychological well-being and inflammatory biomarkers IL-6 and CRP: A narrative review - p. 125 21. Chapter 11. Well-being and circulating serotonin - p. 141 22. Section 3. Physiology and imaging as biological correlates of well-being - p. S3 23. Chapter 12. Use of EEG to investigate quality of life domains: Applications to epilepsy - p. 155 24. Chapter 13. Non-invasive measures of acute mental stress - p. 161 25. Chapter 14. Neuroscience of meditation for holistic well-being - p. 175 26. Chapter 15. Physiological responses to acute and cumulative dance exposures - p. 189 27. Chapter 16. Functional magnetic resonance imaging (fMRI) and well-being - p. 203 28. Chapter 17. Neural processing of odors and measures of well-being - p. 215 29. Section 4. Genetic correlates of well-being - p. S4 30. Chapter 18. Meditation and the regulation of immune response genes - p. 231 31. Chapter 19. Genetic polymorphisms and genes associated with muscle strength and quality of life - p. 247 32. Chapter 20. GWAS in occupational health: Unraveling gene-environment interactions, from discovery to the ethical frontiers of precision health - p. 259 33. Chapter 21. Single nucleotide variants and their association with subjective well-being - p. 275 34. Section 5. Resources - p. S5 35. Chapter 22. Recommended resources for the biological measures of well-being - p. 295 36. Index - p. 305
Biological Measures of Well-Being is organized into four distinct sections that together examine the interlink between physical and emotional well-being. The first section introduces the reader to the correlation among well-being with the environment, economic status, and biological measures. The second section outlines the blood and body fluids as biological correlates of well-being. The third section reviews physiology and imaging as biological correlates of well-being. The fourth discusses the genetic correlations of well-being. Written by international experts in the field, this book
will be the single source researchers and clinicians will need to understand well-being and its interlink with biological measures.
1. Title of Book - p. ii 2. Cover image - p. ii 3. Title page - p. ii 4. Table of Contents - p. iii 5. Disclaimer - p. i 6. Copyright - p. iv 7. Contributors - p. xi 8. Preface - p. xiii 9. Section 1. Introductory chapters, correlates, and setting the scene - p. S1 10. Chapter 1. Biopsychosocial aspects of mental health: A focus on the school environment - p. 3 11. Chapter 2. Mental well-being and the use of social media - p. 19 12. Chapter 3. Well-being and quality of life among youths with a mental health issue - p. 31 13. Chapter 4. The medical professions and their mental and physical well-being - p. 43 14. Chapter 5. The bidirectional relationship of poor physical well-being and stress - p. 59 15. Section 2. Body fluids as biological correlates of well-being - p. S2 16. Chapter 6. Low-density lipoprotein (LDL) in serum and measures of well-being - p. 73 17. Chapter 7. Cortisol, well-being and the older person - p. 87 18. Chapter 8. Endocannabinoid system, inflammation, and mental well-being - p. 97 19. Chapter 9. Beta-endorphin and negative well-being traits - p. 113 20. Chapter 10. Positive psychological well-being and inflammatory biomarkers IL-6 and CRP: A narrative review - p. 125 21. Chapter 11. Well-being and circulating serotonin - p. 141 22. Section 3. Physiology and imaging as biological correlates of well-being - p. S3 23. Chapter 12. Use of EEG to investigate quality of life domains: Applications to epilepsy - p. 155 24. Chapter 13. Non-invasive measures of acute mental stress - p. 161 25. Chapter 14. Neuroscience of meditation for holistic well-being - p. 175 26. Chapter 15. Physiological responses to acute and cumulative dance exposures - p. 189 27. Chapter 16. Functional magnetic resonance imaging (fMRI) and well-being - p. 203 28. Chapter 17. Neural processing of odors and measures of well-being - p. 215 29. Section 4. Genetic correlates of well-being - p. S4 30. Chapter 18. Meditation and the regulation of immune response genes - p. 231 31. Chapter 19. Genetic polymorphisms and genes associated with muscle strength and quality of life - p. 247 32. Chapter 20. GWAS in occupational health: Unraveling gene-environment interactions, from discovery to the ethical frontiers of precision health - p. 259 33. Chapter 21. Single nucleotide variants and their association with subjective well-being - p. 275 34. Section 5. Resources - p. S5 35. Chapter 22. Recommended resources for the biological measures of well-being - p. 295 36. Index - p. 305
