Dataset Information

A Genetic Investigation of the Well-Being Spectrum.

ABSTRACT: The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big five personality traits, self-rated health, and flourishing. The 3-WBS polygenic score predicted all the original 3-WBS traits and additionally loneliness, self-rated health, and extraversion (R2 between 0.62% and 1.58%). Next, using LD score regression, we calculated genetic correlations between the 3-WBS and the traits of interest. From all candidate traits, loneliness and self-rated health were found to have the strongest genetic correlations (rg?=?-?0.79, and rg= 0.64, respectively) with the 3-WBS. Lastly, we use Genomic SEM to investigate the factor structure of the proposed spectrum. The best model fit was obtained for a two-factor model including the 5-WBS traits, with two highly correlated factors representing the negative- and positive end of the spectrum. Based on these analyses we propose to include loneliness and self-rated health in the WBS and use a 5-phenotype well-being spectrum in future studies to gain more insight into the determinants of human well-being.

SUBMITTER: Baselmans BML

PROVIDER: S-EPMC6497622 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature

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A Genetic Investigation of the Well-Being Spectrum.

Baselmans B M L BML van de Weijer M P MP Abdellaoui A A Vink J M JM Hottenga J J JJ Willemsen G G Nivard M G MG de Geus E J C EJC Boomsma D I DI Bartels M M

Behavior genetics 20190227 3

The interrelations among well-being, neuroticism, and depression can be captured in a so-called well-being spectrum (3-phenotype well-being spectrum, 3-WBS). Several other human traits are likely linked to the 3-WBS. In the present study, we investigate how the 3-WBS can be expanded. First, we constructed polygenic risk scores for the 3-WBS and used this score to predict a series of traits that have been associated with well-being in the literature. We included information on loneliness, big fiv ...[more]

PMID: 30810878

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Project description:Background: Environmental volunteering can increase well-being, but environmental volunteer well-being has rarely been compared to participant well-being associated with other types of volunteering or nature-based activities. This paper aims to use a multidimensional approach to well-being to explore the immediately experienced and later remembered well-being of environmental volunteers and to compare this to the increased well-being of participants in other types of nature-based activities and volunteering. Furthermore, it aims to compare volunteer managers' perceptions of their volunteers' well-being with the self-reported well-being of the volunteers. Methods: Onsite surveys were conducted of practical conservation and biodiversity monitoring volunteers, as well as their control groups (walkers and fieldwork students, respectively), to measure general well-being before their nature-based activity and activity-related well-being immediately after their activity. Online surveys of current, former and potential volunteers and volunteer managers measured remembered volunteering-related well-being and managers' perceptions of their volunteers' well-being. Data were analysed based on Seligman's multidimensional PERMA ('positive emotion', 'engagement', 'positive relationship', 'meaning', 'achievement') model of well-being. Factor analysis recovered three of the five PERMA elements, 'engagement', 'relationship' and 'meaning', as well as 'negative emotion' and 'health' as factors. Results: Environmental volunteering significantly improved positive elements and significantly decreased negative elements of participants' immediate well-being, and it did so more than walking or student fieldwork. Even remembering their volunteering up to six months later, volunteers rated their volunteering-related well-being higher than volunteers rated their well-being generally in life. However, volunteering was not found to have an effect on overall mean well-being generally in life. Volunteer managers did not perceive the significant increase in well-being that volunteers reported. Conclusions: This study showed how environmental volunteering immediately improved participants' well-being, even more than other nature-based activities. It highlights the benefit of regarding well-being as a multidimensional construct to more systematically understand, support and enhance volunteer well-being.

Project description:Aims and objectivesWhile haemodialysis is an effective treatment for end-stage renal disease, the requirements and restrictions it imposes on patients can be onerous. The aim of this study was to obtain UK National Health Service patients' perspectives on the challenges arising from haemodialysis with the intention of identifying potential improvements.BackgroundDepression rates are particularly high in those with end-stage renal disease; however, there is limited insight into the range of stressors associated with haemodialysis treatment within the National Health Service contributing to such high rates, particularly those of a cognitive or psychological nature.DesignA qualitative approach was used to obtain rich, patient-focused data; one-to-one semi-structured interviews were conducted with twenty end-stage renal disease at a UK National Health Service centre.MethodsPatients were interviewed during a typical haemodialysis session. Thematic analysis was used to systematically interpret the data. Codes were created in an inductive and cyclical process using a constant comparative approach.ResultsThree themes emerged from the data: (i) fluctuations in cognitive/physical well-being across the haemodialysis cycle, (ii) restrictions arising from the haemodialysis treatment schedule, (iii) emotional impact of haemodialysis on the self and others. The findings are limited to predominantly white, older patients (median = 74 years) within a National Health Service setting.ConclusionsSeveral of the experiences reported by patients as challenging and distressing have so far been overlooked in the literature. A holistic-based approach to treatment, acknowledging all aspects of a patient's well-being, is essential if optimal quality of life is to be achieved by healthcare providers.Relevance to clinical practiceThe findings can be used to inform future interventions and guidelines aimed at improving patients' treatment adherence and outcomes, for example, improved reliable access to mental health specialists.

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A Genetic Investigation of the Well-Being Spectrum.

Publications

A Genetic Investigation of the Well-Being Spectrum.

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