Notes
This study, conducted on data from over 150,000 participants of the UK Biobank cohort, found that women showed seasonal variation in reporting of depressive symptoms like low mood, anhedonia and tiredness, with these symptoms peaking in winter. Men did not show evidence of this seasonal pattern. In women, depressive symptoms of low mood and anhedonia were more likely to be reported when days were shorter, but this may have been partly explained by lower temperatures. The findings suggest that women may be more vulnerable to mood changes linked to seasonal variation in environmental factors like day length and temperature. Clinicians should be aware of this seasonal variation in mood, in order to aid the detection and treatment of depressive symptoms.
Application 26209
Urbanisation, Circadian Rhythmicity and Metabolic and Mental Health
We will explore what factors influence our circadian rhythms and sleep patterns, including lifestyle, place of birth, length of time spent in the UK up to recruitment date, and genetics. We will investigate whether various aspects of sleep ? such as lark versus owl, shift working and insomnia ? impact on our physical and mental health and whether the relationship is influenced by urban living and other lifestyle factors. Diseases associated with the urban environment are increasing in incidence and significance for global health. This work will help improve the prevention, diagnosis and treatment of the diseases of urbanisation by providing information on the relationship between factors associated with city life (shiftwork, disruption of circadian rhythms, reduced exposure to sunlight) and cardio-metabolic and mental health. The proposed work will also provide data that can be used to identify those individuals at increased susceptibility to the disrupted lifestyle factors of the urban environment due to their sex, age, genotype, ethnicity or latitude of origin. We will use statistical tests to investigate whether sleep and circadian rhythm are related to aspects of physical and mental health and whether these are modulated by living in an urban environment, or by individual daily rhythms, latitude of birth. We will also investigate if chronotype and circadian rhythmicity are associated with demographic and lifestyle factors, and if this parameter affects the risk of mental and metabolic disease independent of known risk factors. We will investigate whether variation in genes that influence normal and disturbed sleep patterns modifies or underlies any relationships we find between lifestyle and mental and metabolic health. This study will include the full cohort of the Biobank database
Lead investigator: | Dr Cathy Wyse |
Lead institution: | National University of Ireland, Maynooth |