Exploring predictors of healthy ageing in UK Biobank
Lead Research Organisation:
King's College London
Department Name: Social Genetic and Dev Psychiatry Centre
Abstract
Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.
Publications
Fabbri C
(2023)
Depressive symptoms and neuroticism-related traits are the main factors associated with wellbeing independent of the history of lifetime depression in the UK Biobank.
in Psychological medicine
Fabbri C
(2022)
Stratification of individuals with lifetime depression and low wellbeing in the UK Biobank.
in Journal of affective disorders
Giannelis A
(2021)
Examining the association between family status and depression in the UK Biobank.
in Journal of affective disorders
Hoppen TH
(2023)
The efficacy and acceptability of psychological interventions for adult PTSD: A network and pairwise meta-analysis of randomized controlled trials.
in Journal of consulting and clinical psychology
Mutz J
(2022)
Age-related changes in physiology in individuals with bipolar disorder.
in Journal of affective disorders
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| BB/R505122/1 | 31/05/2018 | 31/12/2022 | |||
| 2050702 | Studentship | BB/R505122/1 | 31/05/2018 | 30/05/2022 | Julian Mutz |
| Description | Research findings from the work funded through this award highlight many potential pathways to improve population health and life expectancy and to reduce the excess mortality of individuals with mental disorders. We identified key sociodemographic, psychosocial, lifestyle and environmental exposures associated with health (Mutz, Roscoe, & Lewis, 2021, BMC Medicine). This study highlights the multifactorial nature of health, the importance of non-medical factors (e.g., loneliness, healthy lifestyle behaviours and weight management) and the need to improve the health of individuals who have a low household income. We further examined how different combinations of self-rated and objective health status predicted all-cause mortality and leading causes of death in the UK (Mutz & Lewis, 2022, Scientific Reports). We found that self-rated health captures additional health-related information beyond medical diagnoses and concluded that it should be more widely assessed. In a series of three studies, we examined differences across 15 physiological biomarkers between individuals with a history of depression (Mutz & Lewis, 2021, Aging), bipolar disorder (Mutz, Young, & Lewis, 2022, Journal of Affective Disorders) or anxiety disorder (Mutz, Hoppen, Fabbri, & Lewis, 2022, British Journal of Psychiatry) and people without mental illness. Findings from these studies suggest that mental disorders are best conceptualised as complex multi-system conditions, affecting not just the central nervous system or the brain, and that there is no clear-cut division between mental and somatic health. In a subsequent study (Mutz, Choudhury, Zhao, & Dregan, 2022, BMC Medicine), we found that adults with a history of mental illness had a high prevalence of frailty, which is a state of decreased physiological reserve and increased vulnerability to adverse health outcomes. Individuals with bipolar disorder and frailty had a three-fold higher mortality risk than people without a history of mental illness or frailty, highlighting an unmet therapeutic need. Finally, we examined differences in telomere length, a hallmark of cellular ageing, between individuals with and without a history of mental disorders (Mutz & Lewis, 2022, Biological Psychiatry: Global Open Science). We found that telomeres were shorter in individuals with depression or bipolar disorder and in people who had an increased genetic risk score for depression. Importantly, this funding also facilitated training in a number of advanced computational and data analytical methods. |
| Exploitation Route | The peer-reviewed publications associated with this research have been cited >80 times to date by other researchers, suggesting that our findings inform related research and contribute to the generation of knowledge. The analytical code that was written in the context of this research has been shared with other researchers through the UK Biobank study. |
| Sectors | Healthcare Other |