A new study, published in the open access journal BMJ Mental Health, shows clear patterns across time of day in self-reported mental health and wellbeing. People generally wake up feeling in the best frame of mind in the morning but in the worst around midnight, the findings indicate, with day of the week and season of the year also playing their part.
About the research
Mental health and wellbeing are dynamic in nature, and subject to change over both short and extended periods, note the researchers. But relatively few studies have looked at how they might change over the course of the day, and those that have have included particular, or only small, groups.
The researchers therefore wanted to explore whether time of day was associated with variations in mental health (depressive and/or anxiety symptoms), happiness (hedonic wellbeing), life satisfaction, sense of life being worthwhile (eudemonic wellbeing) and loneliness (social wellbeing). They also wanted to find out if these associations varied by day, season, and year.
Methodology
Researchers analysed longitudinal data from the University College London COVID-19 Social Study, funded by the Nuffield Foundation. This began in March 2020, and involved regular monitoring until November 2021, and then additional monitoring up to March 2022. All aspects of mental health and wellbeing were measured via online questionnaires using validated assessment tools or through single direct questions: “In the past week, how happy did you feel; how satisfied have you been with your life; to what extent have you felt the things you are doing in your life are worthwhile?”.
Time stamps on completion of each survey provided information on time of day (continuous from 6 am to midnight); day of the week; season; and year (2020, 2021, 2022). Information on other potentially influential factors included age groups (18–29, 30–45, 46–59, 60+), gender, ethnicity, educational attainment, employment status, residential area (rural, urban) and diagnosed physical and mental health conditions (yes, no). Complete information was available for 49,218 people, three quarters of whom (76.5%) were women. People educated to degree level or above were over represented (68%) while those from ethnic minority backgrounds were under represented (6%). The sample was therefore weighted to reflect population proportions.