Handbook of Well-Being

It is a pleasure to bring to you the eHandbook of Subjective Well-Being, the science of when and why people experience and evaluate their lives in positive ways, including aspects such as positive feelings, life satisfaction, and optimism. There are chapters in this eHandbook on the philosophy and history of well-being, as well as reviews of empirical research on the ways to assess well-being, the circumstances that predict it, the outcomes that it produces, the societal policies that enhance it, and many other social, biological, and cultural processes that help us understand why some people are happy and satisfied with their lives, while others are not. There are also chapters on theories of well-being, such as the baseline or set-point models. We believe that Open publication is the wave of the future (Jhangiani & Biswas-Diener, 2017). Therefore, we are presenting the handbook in an electronic format so that it is widely available to everyone around the world. The handbook is entirely open and free – anyone can read and use it without cost. This is important to us as we desire to lower knowledge barriers for individuals and communities, especially because it provides access to students, educators, and scholars who do not have substantial financial resources. We are not certain if this is the first free and open handbook in the behavioral sciences, but hopefully it will not be the last. In the past the prohibitive price of many handbooks have made them available only to scholars or institutions in wealthy nations, and this is unfortunate. We believe scientific scholarship should be available to all. The field of subjective well-being has grown at rapid pace over the last several decades, and many discoveries have been made. When Ed Diener began his research within the field in 1981 there were about 130 studies published that year on the topic, as shown using a Google Scholar search on “subjective well-being.” Eighteen years later when Shigehiro Oishi earned his Ph.D. in 2000 there were 1,640 publications that year on the topic, and when Louis Tay was awarded a Ph.D. in 2011 there were 10,400 publications about subjective well-being. Finally, in 2016 there were 18,300 publications – in that single year alone! In other words, during the time that Diener has been studying the topic, scholarship on subjective well-being has grown over 100-fold! It is not merely the number of published studies that has grown, but there have been enormous leaps forward in our understanding. In the 1980s, there were questions about the reliability and validity of subjective well-being assessments, and the components that underlie it. One notable advance is our understanding and measurement of well-being. We now know a great deal about the validity of self-report measures, as well as the core evaluative and affective components that make up subjective well-being. Further, scholars have a much greater understanding of the processes by which people report their subjective well-being, and various biases or artifacts that may influence these reports. In 1982 many studies were focused on demographic factors such as income, sex, and age that were correlated with subjective well-being. By 2016 we understood much more about temperament and other internal factors that influence happiness, as well as some of the outcomes in behavior that subjective well-being helps produce (e.g., income, performance, physical health, longevity). In the 1980s, researchers assumed that people adapt to almost any life event, and that different life events only have a short-term effect on subjective well-being. A number of large-scale longitudinal studies later showed that that is not the case. By now we know what kinds of life events affect our subjective well-being, how much, and for roughly how long. In the 1980s researchers believed that economic growth would not increase the happiness of a given nation. Now we know when economic growth tends to increase the happiness of a given nation. Additionally, we know much more about the biology of subjective well-being, and an enormous amount more about culture and well-being, a field that was almost nonexistent in 1982. With the advent of positive psychology, we are also beginning to examine practices and interventions that can raise subjective well-being. Given the broad interest in subjective well-being in multiple fields like psychology, economics, political science, and sociology, there have been important developments made toward understanding how societies differ in well-being. This understanding led to the development of national accounts of well-being – societies using well-being measures to help inform policy deliberations. This advance changes the focus of governments away from a narrow emphasis on economic development to a broader view which sees government policies as designed to raise human well-being. We were fortunate to have so many leading scholars of subjective well-being and related topics contribute to this volume. We might be slightly biased but most of the chapters in this eHandbook are truly superb. Not only do they provide a broad coverage of a large number of areas, but many of the chapters present new ways of thinking about these areas. Below is a brief overview of each of the sections in this volume: In Section 1 we begin the volume with chapters on philosophical, historical, and religious thinking on well-being through the ages. Next, we cover the methods and measures used in the scientific study of well-being. Section 2 is devoted to theories of well-being such as the top-down theory, activity theory, goal theory, self-determination theory, and evolutionary theory. Section 3 covers the personality, genetics, hormones, and neuroscience of well-being. Then, demographic factors such as age, gender, race, religion, and marital status are discussed. Section 4 is devoted to how domains of life – such as work, finance, close relationships, and leisure – are related to overall subjective well-being. Section 5 covers the various outcomes of subjective well-being, ranging from work outcomes, to cognitive outcomes, to health, and finally relationship outcomes. Section 6 covers interventions to increase subjective well-being. Finally, Section 7 is devoted to cultural, geographical, and historical variations in subjective well-being. This eHandbook presents the most up-to-date and comprehensive understanding of subjective well-being – and it is freely available to all! The editors would like to extend their thanks to several individuals who have been critical to the success of the handbook. First, our gratitude is immense toward Chris Wiese, Keya Biswas-Diener, and Danielle Geerling, who organized and kept the entire venture on track. Their hard work and organizational skills were wonderful, and the book would not have been possible without them. Second, we extend our thanks to the Diener Education Fund, a charitable organization devoted to education that in part made this project possible. In particular we express deep gratitude to Mary Alice and Frank Diener. Not only did their help make this eHandbook possible, but their lives stood as shining examples of the way to pursue well-being!https://digitalcommons.unomaha.edu/psychfacbooks/1008/thumbnail.jp

Multiplexing information flow through dynamic signalling systems

We consider how a signalling system can act as an information hub by multiplexing information arising from multiple signals. We formally define multiplexing, mathematically characterise which systems can multiplex and how well they can do it. While the results of this paper are theoretical, to motivate the idea of multiplexing, we provide experimental evidence that tentatively suggests that the NF-κB transcription factor can multiplex information about changes in multiple signals. We believe that our theoretical results may resolve the apparent paradox of how a system like NF-κB that regulates cell fate and inflammatory signalling in response to diverse stimuli can appear to have the low information carrying capacity suggested by recent studies on scalar signals. In carrying out our study, we introduce new methods for the analysis of large, nonlinear stochastic dynamic models, and develop computational algorithms that facilitate the calculation of fundamental constructs of information theory such as Kullback–Leibler divergences and sensitivity matrices, and link these methods to a new theory about multiplexing information. We show that many current models such as those of the NF-κB system cannot multiplex effectively and provide models that overcome this limitation using post-transcriptional modifications

Communication about genetic testing with breast and ovarian cancer patients: a scoping review

© 2018, The Author(s). Genetic testing of patients with cancer is increasingly offered to guide management, resulting in a growing need for oncology health professionals to communicate genetics information and facilitate informed decision-making in a short time frame. This scoping review aimed to map and synthesise what is known about health professionals’ communication about genetic testing for hereditary breast and ovarian cancer with cancer patients. Four databases were systematically searched using a recognised scoping review method. Areas and types of research were mapped and a narrative synthesis of the findings was undertaken. Twenty-nine papers from 25 studies were included. Studies were identified about (i) information needs, (ii) process and content of genetic counselling, (iii) cognitive and emotional impact, including risk perception and recall, understanding and interpretation of genetic test results, and anxiety and distress, (iv) patients’ experiences, (v) communication shortly after diagnosis and (vi) alternatives to face-to-face genetic counselling. Patients’ need for cancer-focused, personalised information is not always met by genetic counselling. Genetic counselling tends to focus on biomedical information at the expense of psychological support. For most patients, knowledge is increased and anxiety is not raised by pre-test communication. However, some patients experience anxiety and distress when results are disclosed, particularly those tested shortly after diagnosis who are unprepared or unsupported. For many patients, pre-test communication by methods other than face-to-face genetic counselling is acceptable. Research is needed to identify patients who may benefit from genetic counselling and support and to investigate communication about hereditary breast and ovarian cancer by oncology health professionals

Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation.

Although genome-wide association studies have identified over 100 risk loci that explain ∼33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa

Single-cell analysis tools for drug discovery and development

The genetic, functional or compositional heterogeneity of healthy and diseased tissues presents major challenges in drug discovery and development. Such heterogeneity hinders the design of accurate disease models and can confound the interpretation of biomarker levels and of patient responses to specific therapies. The complex nature of virtually all tissues has motivated the development of tools for single-cell genomic, transcriptomic and multiplex proteomic analyses. Here, we review these tools and assess their advantages and limitations. Emerging applications of single cell analysis tools in drug discovery and development, particularly in the field of oncology, are discussed

Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Although genome-wide association studies have identified over 100 risk loci that explain ~33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa

Atlas of prostate cancer heritability in European and African-American men pinpoints tissue-specific regulation

Although genome-wide association studies have identified over 100 risk loci that explain similar to 33% of familial risk for prostate cancer (PrCa), their functional effects on risk remain largely unknown. Here we use genotype data from 59,089 men of European and African American ancestries combined with cell-type-specific epigenetic data to build a genomic atlas of single-nucleotide polymorphism (SNP) heritability in PrCa. We find significant differences in heritability between variants in prostate-relevant epigenetic marks defined in normal versus tumour tissue as well as between tissue and cell lines. The majority of SNP heritability lies in regions marked by H3k27 acetylation in prostate adenoc7arcinoma cell line (LNCaP) or by DNaseI hypersensitive sites in cancer cell lines. We find a high degree of similarity between European and African American ancestries suggesting a similar genetic architecture from common variation underlying PrCa risk. Our findings showcase the power of integrating functional annotation with genetic data to understand the genetic basis of PrCa

Molecular psychiatry of zebrafish

Due to their well-characterized neural development and high genetic homology to mammals, zebrafish (Danio rerio) have emerged as a powerful model organism in the field of biological psychiatry. Here, we discuss the molecular psychiatry of zebrafish, and its implications for translational neuroscience research and modeling central nervous system (CNS) disorders. In particular, we outline recent genetic and technological developments allowing for in vivo examinations, high-throughput screening and whole-brain analyses in larval and adult zebrafish. We also summarize the application of these molecular techniques to the understanding of neuropsychiatric disease, outlining the potential of zebrafish for modeling complex brain disorders, including attention-deficit/hyperactivity disorder (ADHD), aggression, post-traumatic stress and substance abuse. Critically evaluating the advantages and limitations of larval and adult fish tests, we suggest that zebrafish models become a rapidly emerging new field in modern molecular psychiatry research

Effect of sitagliptin on cardiovascular outcomes in type 2 diabetes

BACKGROUND: Data are lacking on the long-term effect on cardiovascular events of adding sitagliptin, a dipeptidyl peptidase 4 inhibitor, to usual care in patients with type 2 diabetes and cardiovascular disease. METHODS: In this randomized, double-blind study, we assigned 14,671 patients to add either sitagliptin or placebo to their existing therapy. Open-label use of antihyperglycemic therapy was encouraged as required, aimed at reaching individually appropriate glycemic targets in all patients. To determine whether sitagliptin was noninferior to placebo, we used a relative risk of 1.3 as the marginal upper boundary. The primary cardiovascular outcome was a composite of cardiovascular death, nonfatal myocardial infarction, nonfatal stroke, or hospitalization for unstable angina. RESULTS: During a median follow-up of 3.0 years, there was a small difference in glycated hemoglobin levels (least-squares mean difference for sitagliptin vs. placebo, -0.29 percentage points; 95% confidence interval [CI], -0.32 to -0.27). Overall, the primary outcome occurred in 839 patients in the sitagliptin group (11.4%; 4.06 per 100 person-years) and 851 patients in the placebo group (11.6%; 4.17 per 100 person-years). Sitagliptin was noninferior to placebo for the primary composite cardiovascular outcome (hazard ratio, 0.98; 95% CI, 0.88 to 1.09; P<0.001). Rates of hospitalization for heart failure did not differ between the two groups (hazard ratio, 1.00; 95% CI, 0.83 to 1.20; P = 0.98). There were no significant between-group differences in rates of acute pancreatitis (P = 0.07) or pancreatic cancer (P = 0.32). CONCLUSIONS: Among patients with type 2 diabetes and established cardiovascular disease, adding sitagliptin to usual care did not appear to increase the risk of major adverse cardiovascular events, hospitalization for heart failure, or other adverse events