Notes
In this study, Mutz et al. (2021) examined differences in 15 physiological markers between individuals with a lifetime history of depression and people without a history of mental illness. The authors observed subtle group differences across most physiological markers. Age-related group differences were most evident for body composition, cardiovascular function and heel bone mineral density and differed by sex. These differences did not, however, consistently narrow or widen with age. For example, body mass index in females with depression was 1.1 kg/m2 higher than in the comparison group at age 40 and this difference narrowed to 0.4 kg/m2 at age 70. In males, systolic blood pressure was 1 mmHg lower in individuals with depression than in the comparison group at age 45 and this difference widened to 2.5 mmHg at age 65. Taken together, these findings highlight that there were modest average differences in physiology markers between individuals with and without a lifetime history of depression. Integrating screening and monitoring of physiological markers in clinical care of middle-aged and older adults with depression may be warranted to potentially reduce the risk of age-related diseases and the excess mortality observed in this group.
Application 45514
Exploring predictors of healthy ageing in UK Biobank
Substantial improvements in human health and significant increases in life expectancy are amongst the main achievements of civilization in the 20th and 21st centuries. However, many people spend a significant part of their lives suffering from age-related illness and experience decreased levels of normal functioning which is often associated with lower quality of life. To increase our understanding of the processes and mechanisms that are associated with good health outcomes in old age, this research will investigate some of the key environmental risk factors, lifestyle and the biology underlying healthy ageing. Moreover, we will examine ageing trajectories in individuals diagnosed with common mental illnesses such as depression and in chronic pain as previous research has shown that individuals with these diagnoses have higher rates of morbidity and mortality. Facing up to the global challenges of an ageing population is one of today's most important undertakings and the UK Biobank cohort provides an unprecedented data resource to investigate how people age. We will incorporate data from the baseline assessment and follow-up data that are available through record linkage and repeat assessments. All available data relating to the variables of interest for the full cohort will be analysed using appropriate statistical and machine learning methods. We anticipate a project duration of 36 months. The findings of our research will inform public health policy aimed at promoting health in later life.
Lead investigator: | Mr Julian Mutz |
Lead institution: | King's College London |
2 related Returns
Return ID | App ID | Description | Archive Date |
3647 | 45514 | Examining the association between family status and depression in the UK Biobank | 12 Jul 2021 |
3648 | 45514 | Exploring health in the UK Biobank: associations with sociodemographic characteristics, psychosocial factors, lifestyle and environmental exposures | 12 Jul 2021 |