Health behaviours the month prior to COVID-19 infection and the development of self-reported long COVID and specific long COVID symptoms: A longitudinal analysis of 1,811 UK adults

Author:

Paul EliseORCID,Fancourt DaisyORCID

Abstract

AbstractBackgroundDemographic and infection-related characteristics have been identified as risk factors for long COVID, but research on the influence of health behaviours (e.g., exercise, smoking) immediately preceding the index infection is lacking.Methods1,811 UK adults from the UCL COVID-19 Social Study and who had previously been infected with COVID-19 were analysed. Health behaviours in the month before infection were weekly exercise frequency, days of fresh air per week, sleep quality, smoking, consuming more than the number of recommended alcoholic drinks per week (>14), and the number of mental health care behaviours (e.g., online mental health programme). Logistic regressions controlling for covariates (e.g., COVID-19 infection severity and pre-existing health conditions) examined the impact of health behaviours on long COVID and three long COVID symptoms (difficulty with mobility, cognition, and self-care).ResultsIn the month before infection with COVID-19, poor quality sleep increased the odds of long COVID (odds ratio [OR]: 3.53; (95% confidence interval [CI]: 2.01 to 6.21), as did average quality sleep (OR: 2.44; 95% CI: 1.44 to 4.12). Having smoked (OR: 8.39; 95% CI: 1.86 to 37.91) increased and meeting recommended weekly physical activity guidelines (3+ hours) (OR: 0.05; 95% CI: 0.01 to 0.39) reduced the likelihood of difficulty with self-care (e.g., washing all over or dressing) amongst those with long COVID.ConclusionResults point to the importance of sleep quality for long COVID, potentially helping to explain previously demonstrated links between stress and long COVID. Results also suggest that exercise and smoking may be modifiable risk factors for preventing the development of difficulty with self-care.FundingThe Nuffield Foundation [WEL/FR-000022583], the MARCH Mental Health Network funded by the Cross-Disciplinary Mental Health Network Plus initiative supported by UK Research and Innovation [ES/S002588/1], and the Wellcome Trust [221400/Z/20/Z and 205407/Z/16/Z].What is already known on the topicLong COVID is rapidly becoming a public health concern. Although existing evidence to date has identified health characteristics such as obesity as risk factors, hardly any research on modifiable risk factors such as health behaviours has been conducted.What this study addsThis study adds to the dearth of evidence on modifiable risk factors occurring before COVID-19 infection. Findings suggest a role of poor sleep quality for the development of long COVID, and for meeting physical activity guidelines (3+ hours per week) and not smoking as modifiable risk factors for self-care difficulties amongst those with long COVID.

Publisher

Cold Spring Harbor Laboratory

Reference43 articles.

1. National Institute for Health and Care Excellence. Living with Covid19 – Second review [Internet]. 2021. Available from: https://evidence.nihr.ac.uk/themedreview/living-with-covid19-second-review/

2. Understanding long COVID: a modern medical challenge;Lancet T;The Lancet,2021

3. Office for National Statistics. Prevalence of ongoing symptoms following coronavirus (COVID-19) infection in the UK - 7 April 2022 [Internet]. 2022 [cited 2022 Apr 11]. Available from: https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronaviruscovid19infectionintheuk/7april2022

4. Whitaker M , Elliott J , Chadeau-Hyam M , Riley S , Darzi A , Cooke G , et al. Persistent symptoms following SARS-CoV-2 infection in a random community sample of 508,707 people. MedRxiv. 2021;

5. Characterising long COVID: a living systematic review

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