Individual differences in gratitude and their relationship with well-being

Ten studies are presented which show how and why individual differences in gratitude are related to well-being, with six key conclusions. Grateful people view the help they receive in everyday life as more costly, valuable, and altruistically intended. Cross-sectional (n=253), multi-level process (n=113), and experimental (n=200) studies showed these attributional biases explain why trait and state levels of gratitude are linked. Trait gratitude involves the habitual focusing on the positive in the world, suggesting why gratitude is linked to well-being. Two studies (n=206 and n=389) presented exploratory and confirmatory factor analysis showing that each of the existing measure of gratitude and appreciation (the GQ-6, GRAT, and Appreciation Scale) assess the same latent construct. Two studies (n=389) and (n=201) show gratitude is uniquely linked to subjective well-being (satisfaction with life) and psychological well-being (personal growth, positive relationships with others, purpose in life, and self-acceptance), after controlling for the 30 facets of the Five Factor Model. Two longitudinal studies (n=156 and n=87) showed that during a life transition, gratitude led to lower stress and depression, and higher perceived social support. Structural equation modelling disproved other models of causality. Grateful people were shown to use more adaptive coping strategies, characterised by seeking help from others and actively coping rather than avoiding the problem. Across two samples (n=236) these adaptive coping strategies were shown to partially explain why grateful people feel lower level of stress in life. In a large community sample (n=401, 40% with clinically impaired sleep) grateful people had a better quality of sleep. Together, the ten studies show that individual differences in gratitude (1) are related to specific information processing biases, (2) involved a habitual orientation towards noticing and appreciating the positive in life, (3) uniquely predict well-being, (4) lead to well-being over time, (5) are related to positive coping, and (6) predict better sleeping quality

A social-cognitive model of trait and state levels of gratitude.

Three studies tested a new model of gratitude, which specified the generative mechanisms linking individual differences (trait gratitude) and objective situations with the amount of gratitude people experience after receiving aid (state gratitude). In Study 1, all participants (N = 253) read identical vignettes describing a situation in which they received help. People higher in trait gratitude made more positive beneficial appraisals (seeing the help as more valuable, more costly to provide, and more altruistically intended), which fully mediated the relationship between trait and state levels of gratitude. Study 2 (N = 113) replicated the findings using a daily process study in which participants reported on real events each day for up to14 days. In Study 3, participants (N = 200) read vignettes experimentally manipulating objective situations to be either high or low in benefit. Benefit appraisals were shown to have a causal effect on state gratitude and to mediate the relationship between different prosocial situations and state gratitude. The 3 studies demonstrate the critical role of benefit appraisals in linking state gratitude with trait gratitude and the objective situation

Individual differences in gratitude and their relationship with well-being

Ten studies are presented which show how and why individual differences in gratitude are related to well-being, with six key conclusions. Grateful people view the help they receive in everyday life as more costly, valuable, and altruistically intended. Cross-sectional (n=253), multi-level process (n=113), and experimental (n=200) studies showed these attributional biases explain why trait and state levels of gratitude are linked. Trait gratitude involves the habitual focusing on the positive in the world, suggesting why gratitude is linked to well-being. Two studies (n=206 and n=389) presented exploratory and confirmatory factor analysis showing that each of the existing measure of gratitude and appreciation (the GQ-6, GRAT, and Appreciation Scale) assess the same latent construct. Two studies (n=389) and (n=201) show gratitude is uniquely linked to subjective well-being (satisfaction with life) and psychological well-being (personal growth, positive relationships with others, purpose in life, and self-acceptance), after controlling for the 30 facets of the Five Factor Model. Two longitudinal studies (n=156 and n=87) showed that during a life transition, gratitude led to lower stress and depression, and higher perceived social support. Structural equation modelling disproved other models of causality. Grateful people were shown to use more adaptive coping strategies, characterised by seeking help from others and actively coping rather than avoiding the problem. Across two samples (n=236) these adaptive coping strategies were shown to partially explain why grateful people feel lower level of stress in life. In a large community sample (n=401, 40% with clinically impaired sleep) grateful people had a better quality of sleep. Together, the ten studies show that individual differences in gratitude (1) are related to specific information processing biases, (2) involved a habitual orientation towards noticing and appreciating the positive in life, (3) uniquely predict well-being, (4) lead to well-being over time, (5) are related to positive coping, and (6) predict better sleeping quality.EThOS - Electronic Theses Online ServiceGBUnited Kingdo

A social rank explanation of how money influences health

Objective : Financial resources are a potent determinant of health, yet it remains unclear why this is the case. We aimed to identify whether the frequently observed association between absolute levels of monetary resources and health may occur because money acts an indirect proxy for a person’s social rank. Method : To address this question we examined over 230,000 observations on 40,400 adults drawn from two representative national panel studies; the British Household Panel Survey and the English Longitudinal Study of Ageing. We identified each person’s absolute income/wealth and their objective ranked position of income/wealth within a social reference-group. Absolute and rank income/wealth variables were then used to predict a series of self-reported and objectively recorded health outcomes in cross-sectional and longitudinal analyses. Results : As anticipated, those with higher levels of absolute income/wealth were found to have better health than others, after adjustment for age, gender, education,marital status, and labor force status. When evaluated simultaneously the ranked position of income/wealth but not absolute income/wealth predicted all health outcomes examined including: objective measures of allostatic load and obesity, the presence of long-standing illness, and ratings of health,physical functioning, role limitations, and pain. The health benefits of high rank were consistent in cross-sectional and longitudinal analyses and did not depend on the reference-group used to rank participants. Conclusions : This is the first study to demonstrate that social position rather than material conditions may explain the impact of money on human health

Modeling bivariate change in individual differences: prospective associations between personality and life satisfaction

A number of structural equation models have been developed to examine change in 1 variable or the longitudinal association between 2 variables. The most common of these are the latent growth model, the autoregressive cross-lagged model, the autoregressive latent trajectory model, and the latent change score model. The authors first overview each of these models through evaluating their different assumptions surrounding the nature of change and how these assumptions may result in different data interpretations. They then, to elucidate these issues in an empirical example, examine the longitudinal association between personality traits and life satisfaction. In a representative Dutch sample (N = 8,320), with participants providing data on both personality and life satisfaction measures every 2 years over an 8-year period, the authors reproduce findings from previous research. However, some of the structural equation models overviewed have not previously been applied to the personality-life satisfaction relation. The extended empirical examination suggests intraindividual changes in life satisfaction predict subsequent intraindividual changes in personality traits. The availability of data sets with 3 or more assessment waves allows the application of more advanced structural equation models such as the autoregressive latent trajectory or the extended latent change score model, which accounts for the complex dynamic nature of change processes and allows stronger inferences on the nature of the association between variables. However, the choice of model should be determined by theories of change processes in the variables being studied

Assembly of high nuclearity clusters from a family of tripodal tris-carboxylate ligands

A family of four tris-carboxylic acid ligands 1,3,5-tris(4′-carboxybiphenyl-2-yl)benzene (H3L1), 1,3,5-tris-2-carboxyphenylbenzene (H3L2), 1,3,5-tris(4″-carboxy-para-terphenyl-2-yl)benzene (H3L3) and 1,3,5-tris(3′-carboxybiphenyl-2-yl)benzene (H3L4) have been synthesised and reacted with first row transition metal cations to give nine complexes which have been structurally characterised by X-ray crystallography. The ligands share a common design motif having three arms connected to a benzene core via three ortho-disubstituted phenyl linkers. The ligands vary in length and direction of the carboxylic acid functionalised arms and are all able to adopt tripodal conformations in which the three arms are directed facially. The structures of [Zn8(μ4-O)(L1)4(HCO2)2(H2O)0.33(DMF)2] (1a-Zn), [Co14(L2)6((μ3-OH)8(HCO2)2(DMF)4(H2O)6] (2-Co), [Ni14(L2)6(μ3-OH)8(HCO2)2(DMF)4(H2O)6] (2-Ni), [Zn8(μ4-O)(L3)4(DMF)(H2O)4(NO3)2] (3-Zn), [Ni5(μ-OH)4(L2)2(H2O)6(DMF)4] (5-Ni), [Co8(μ4-O)4(L4)4(DMF)3(H2O)] (6-Co) and Fe3(μ3-O)(L4)2(H2O)(DMF)2)] (7-Fe) contain polynuclear clusters surrounded by ligands (L1–4)3− in tripodal conformations. The structure of [Zn2(HL1)2(DMF)4] (1b-Zn) shows it to be a binuclear complex in which the two ligands (HL2)2− are partially deprotonated whilst {[Zn3(L2)2(DMF)(H2O)(C5H5N)]·6(DMF)}n (4-Zn) is a 2D coordination network containing {Zn2(RCO2)4(solv)2} paddlewheel units. The conformations of the ligand arms in the complexes have been analysed, confirming that the shared ortho-disubstituted phenyl ring motif is a powerful and versatile tool for designing ligands able to form high-nuclearity coordination clusters when reacted with transition metal cations

Genetic risk and a primary role for cell-mediated immune mechanisms in multiple sclerosis.

Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis

Early life stress and macaque annygdala hypertrophy: preliminary evidence for a role for the serotonin transporter gene

Background: Children exposed to early life stress (ELS) exhibit enlarged amygdala volume in comparison to controls. the primary goal of this study was to examine amygdala volumes in bonnet macaques subjected to maternal variable foraging demand (VFD) rearing, a well-established model of ELS. Preliminary analyses examined the interaction of ELS and the serotonin transporter gene on amygdala volume. Secondary analyses were conducted to examine the association between amygdala volume and other stress-related variables previously found to distinguish VFD and non-VFD reared animals.Methods: Twelve VFD-reared and nine normally reared monkeys completed MRI scans on a 3T system (mean age = 5.2 years).Results: Left amygdala volume was larger in VFD vs. control macaques. Larger amygdala volume was associated with: high cerebrospinal fluid concentrations of corticotropin releasing-factor (CRF) determined when the animals were in adolescence (mean age = 2.7 years); reduced fractional anisotropy (FA) of the anterior limb of the internal capsule (ALIC) during young adulthood (mean age = 5.2 years) and timid anxiety-like responses to an intruder during full adulthood (mean age = 8.4 years). Right amygdala volume varied inversely with left hippocampal neurogenesis assessed in late adulthood (mean age = 8.7 years). Exploratory analyses also showed a gene-by-environment effect, with VFD-reared macaques with a single short allele of the serotonin transporter gene exhibiting larger amygdala volume compared to VFD-reared subjects with only the long allele and normally reared controls.Conclusion: These data suggest that the left amygdala exhibits hypertrophy after ELS, particularly in association with the serotonin transporter gene, and that amygdala volume variation occurs in concert with other key stress-related behavioral and neurobiological parameters observed across the lifecycle. Future research is required to understand the mechanisms underlying these diverse and persistent changes associated with ELS and amygdala volume.National Institute for Mental HealthNIMHNARSAD Mid-investigator AwardSuny Downstate Med Ctr, Dept Psychiat & Behav Sci, Brooklyn, NY 11203 USAUniversidade Federal de São Paulo, Dept Psiquiatria, São Paulo, BrazilMt Sinai Sch Med, Dept Psychiat, New York, NY USAMt Sinai Sch Med, Dept Neurosci, New York, NY USAMt Sinai Sch Med, Dept Radiol, New York, NY USANew York State Psychiat Inst & Hosp, New York, NY 10032 USAMichael E Debakey VA Med Ctr, Mental Hlth Care Line, Houston, TX USABaylor Coll Med, Menninger Dept Psychiat & Behav Sci, Houston, TX 77030 USAYale Univ, Sch Med, Dept Psychiat, New Haven, CT USANatl Ctr PTSD, Clin Neurosci Div, West Haven, CT USANew York State Psychiat Inst & Hosp, Dept Mol Imaging & Neuropathol, New York, NY 10032 USAColumbia Univ, Coll Phys & Surg, Dept Psychiat, New York, NY USAColumbia Univ, Coll Phys & Surg, Dept Pathol & Cell Biol, New York, NY USAComprehensive NeuroSci Corp, Westchester, NY USAUniv Miami Hlth Sytems, Dept Psychiat & Behav Sci, Miami, FL USAEmory Univ, Sch Med, Dept Psychiat & Behav Sci, Emory, GA USAUniversidade Federal de São Paulo, Dept Psiquiatria, São Paulo, BrazilNational Institute for Mental Health: R01MH65519-01National Institute for Mental Health: R01MH098073NIMH: R21MH066748NIMH: R01MH59990AWeb of Scienc

The Long-Baseline Neutrino Experiment: Exploring Fundamental Symmetries of the Universe

The preponderance of matter over antimatter in the early Universe, the dynamics of the supernova bursts that produced the heavy elements necessary for life and whether protons eventually decay --- these mysteries at the forefront of particle physics and astrophysics are key to understanding the early evolution of our Universe, its current state and its eventual fate. The Long-Baseline Neutrino Experiment (LBNE) represents an extensively developed plan for a world-class experiment dedicated to addressing these questions. LBNE is conceived around three central components: (1) a new, high-intensity neutrino source generated from a megawatt-class proton accelerator at Fermi National Accelerator Laboratory, (2) a near neutrino detector just downstream of the source, and (3) a massive liquid argon time-projection chamber deployed as a far detector deep underground at the Sanford Underground Research Facility. This facility, located at the site of the former Homestake Mine in Lead, South Dakota, is approximately 1,300 km from the neutrino source at Fermilab -- a distance (baseline) that delivers optimal sensitivity to neutrino charge-parity symmetry violation and mass ordering effects. This ambitious yet cost-effective design incorporates scalability and flexibility and can accommodate a variety of upgrades and contributions. With its exceptional combination of experimental configuration, technical capabilities, and potential for transformative discoveries, LBNE promises to be a vital facility for the field of particle physics worldwide, providing physicists from around the globe with opportunities to collaborate in a twenty to thirty year program of exciting science. In this document we provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess.Comment: Major update of previous version. This is the reference document for LBNE science program and current status. Chapters 1, 3, and 9 provide a comprehensive overview of LBNE's scientific objectives, its place in the landscape of neutrino physics worldwide, the technologies it will incorporate and the capabilities it will possess. 288 pages, 116 figure