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Prehabilitation and preparation for surgery: has the digital revolution arrived?

Authors:
  • Manchester University Hospitals NHS Foundation Trust
Editorial
Prehabilitation and preparation for surgery: has the digital
revolution arrived?
J. W. Durrand,
1,2
J. Moore
3,4
and G. Danjoux
5,6
1 Specialty Trainee, Northern School of Anaesthesia and Intensive care Medicine, Health Education England-North East,
Newcastle-upon-Tyne, UK
2 PhD Student, Department of Sport, Exercise and Rehabilitation, Northumbria University, Newcastle-upon-Tyne, UK
3 Consultant, Department of Anaesthesia and Intensive Care Medicine, Manchester University NHS Foundation Trust,
Manchester, UK,
4 Greater Manchester Cancer Clinical Director for Prehab and Recovery, Manchester, UK
5 Consultant, Department of Peri-operative Medicine, South Tees Hospitals NHS Foundation Trust, Middlesbrough, UK
6 Honorary Professor, Hull York Medical School, York, UK
.................................................................................................................................................................
Correspondence to: G. Danjoux
Email: gerard.danjoux@nhs.net
Accepted: 22 October 2021
Keywords: peri-operative medicine; prehabilitation; preparing for surgery
Twitter: @durrand_james; @mysurgeryandme; @GerryDanjoux
The COVID-19 pandemic has profoundly disrupted global
elective surgical care [1]. There are presently 5 million
people in the UK on an elective surgical waiting list, a
number expected to grow in the coming months [2]. The
capacity of peri-operative services is nite. Increasing this to
address the backlog is a substantial challenge and expected
to be the rate-limiting step [3]. Restoration of elective
surgical pathways will be complicated by the need to
mitigate the risk of peri-operative COVID-19 infection and
its signicant implications for patients and staff [4]. This
situation has effectively created a generation of patients
waiting longer for treatment, with reduced pre-operative
support driving increased levels of patient anxiety and
reduced preparednessfor surgery. Given the major
continued burden on front-line NHS staff [5], a co-ordinated
national response comprising innovative solutions is
required to address this problem.
Waiting better
The series of national lockdowns in the UK over the last
18 months may have signicantly undermined the nations
health, increasing the rates of health risk behaviours that
elevate peri-operative risk. The rates of physical inactivity,
alcohol consumption and smoking may have increased,
with further negative effects on diet and mental health [6, 7].
A recent concern highlighted is the association between
pre-operative patient isolation and adverse postoperative
outcomes [8]. Crucially, existing health inequalities mean
these effects may not be evenly distributed across the
population [9]. The association between high levels of social
deprivation, increased prevalence of health risk behaviours
and associated chronic ill-health leading to adverse peri-
operative outcomes was already well established.
Unfortunately, the pandemic appears to have
disproportionately affected the health of this patient group
[10], acutely exacerbating the problem. Supporting patients
to tackle these health risk behaviours and improve their
physical and mental readiness for surgery is increasingly
recognised by national bodies as an important step forward
in addressing this situation and has been the focus of
several prehabilitation services in the UK [11, 12]. Capturing
the shared learning and experience gathered over the last
34 years will now be crucial in seizing the opportunity
which the current national situation presents.
In a national brieng from the UK Centre for Peri-
operative Care [13], the need to redesign peri-operative
©2021 Association of Anaesthetists 1
Anaesthesia 2021 doi:10.1111/anae.15622
pathways for the COVID-19 era was emphasised. A smart
resetof elective surgery is intended to not only mitigate the
immediate issues of the pandemic but re-engineer peri-
operative pathways for the long term. Two of the key
messages relate directly to the reframing of waiting lists as
preparation lists: 1. The need to develop peri-operative
care as a model to promote healthy living and prevention of
future ill health; and 2. The need to develop effective, virtual
patient solutions. This drive has been reected in the
establishment of cross-sector waiting wellinitiatives within
regional integrated care systems seeking to understand the
needs of, and support required for, patients to improve their
readiness for surgery.
The unplanned shift to digital
prehabilitation
Before the COVID-19 pandemic, the majority of
prehabilitation services were operating as face-to-face
multi-behavioural health promotion programmes. In April
2020, all NHS services were required to rapidly recongure
their delivery because face-to-face patient contact was
minimised. This had a major impact on prehabilitation
support due to the lack of evidence-based remotely
supervised (home-based) prehabilitation options to match
and complement face-to-face offers. Pre-pandemic work by
the authors had already highlighted this unmet patient
need. In one service based in the north of England and
serving a tertiary geographical population, approximately
50% of patients approached for face-to-face prehabilitation
participation before surgery declined [12]. Reasons cited by
patients included: travel distance and cost; lack of transport;
inexibility of timing related to working and other life
commitments; cost; discomfort in group environments; and
preference for home-based support. The need for a wider
menu of options to maximise patient engagement and
reduce inequality of access was therefore already evident
and brought acutely into focus by the changes in healthcare
delivery enforced by the pandemic.
Existing prehabilitation services around the UK
responded rapidly to this challenge through a period of
innovation, development and delivery of virtual alternatives
to enable continued support of patients awaiting urgent
surgery or other treatments. Examples included:
Conversion of patient information materials to multimedia
online formats; introduction of live virtual classes using
teleconferencing programmes; structured web and app-
based health promotion programmes; and digital health
coaching. A range of road-tested virtual options now
support the initial development of hybrid prehabilitation
with a combination of digital and face-to-face offers.
Further successful peri-operative digital interventions
have taken place, including digital joint school. Although
as yet unpublished, compelling results from this digital
innovation have driven a major change in the peri-operative
orthopaedic pathway at South Tees Hospitals. Between
2017 and 2020, digital joint school showed excellent patient
engagement and signicant improvements in quality of life,
with associated improvement in Oxford hip and knee scores
and reductions in hospital duration of stay [14].
Manchesters surgery school has also produced a virtual
version to support group education in major surgical
pathways [15]. As peri-operative care pathways seek to
make digitally facilitated prehabilitation and preparation
options available, valuable groundwork has been laid.
The case for digital?
Digitally facilitated interventions to support health
behaviour change are established in several clinical
settings. Perhaps the nearest aligned healthcare setting is in
cardiac rehabilitation where multi-behavioural digital
platforms have demonstrated comparable efcacy in
behaviour change to face-to-face programmes, with
excellent rates of patient engagement and adherence [16].
Other successful interventions have demonstrated improved
glycaemic control in patients with type-2 diabetes through
increased physical activity and dietary change [17], and
reduced alcohol consumption [18].
These interventions align with NHS priorities to adopt
technology in healthcare delivery closer to home. They
confer several potential advantages over face-to-face and
paper-based remote models, including exibility for patients
and staff. Potential cost effectiveness is supported by the
capacity for comparatively fewer team members to monitor
and support multiple patients simultaneously, alongside
reduced space and equipment requirements. Developments
in audiovisual and communication technology increasingly
allow some of the unique benets of a face-to-face
interaction with a healthcare professional to be obtained
remotely. Wearable devices capable of increasingly
sophisticated continuous and detailed biometric monitoring
can be integrated to enhance intervention delity, providing
continuous feedback to patients and insight into the
physiological effects of their peri-operative journey.
Digital solutions also have the capability to be scaled
rapidly geographically to support large numbers of patients
at minimal additional expense creating a potentially
attractive return on investment solution. Platforms can also
be designed to integrate with existing electronic record
systems with the potential to streamline and digitalise
complete peri-operative care pathways.
2©2021 Association of Anaesthetists
Anaesthesia 2021 Editorial
A digital prehabilitation framework
Figure 1 presents a potential framework for discussing the
range of digital prehabilitation options now available. The
tiered offerfor prehabilitation support more broadly
introduced in national guidance for prehabilitation of
people with cancer [19] was used as a basis for this, with the
framework aiming to help rationalise which resources are
offered. The wide range in patient need across the surgical
population must be balanced against the intensity of
support and resources required. Universal offers are
applicable to most patients preparing for surgery providing
generic support with minimal healthcare staff input.
Targetedoffers provide more structured support, tailored
to patient needs and introduction of remote supervision by
a healthcare professional. Finally, specialistoffers are
intended to support patients requiring the most intensive
support for complex needs, providing the elements of
targeted interventions with more intensive staff supervision
and support.
Challenges and potential pitfalls
The range of digital options now becoming available could
revolutionise prehabilitation and peri-operative support in the
UK, with the potential for rapid dissemination and uptake.
However, it is critical not to lose sight of the fact that despite
use of cutting-edge technology, these solutions are
fundamentally health behaviour change interventions. It is also
important to acknowledge that although many of the available
digital solutions have undergone livepreliminary road testing
with encouraging results, rigorous evaluations are not yet
available. This situation reects the tension between choosing
rapid resource creation withacontemporaneouslive
evaluation process or a slower, systematic design and
development process leading to formal testing.
Learning from the longer term use of similar
interventions in wider healthcare contexts supports the latter
approach. The importance of applying this learning from
wider healthcare to prehabilitation interventions has been
shown [20]. Employing established, systematic methods for
iterative intervention development, grounded in health
behaviour change theory, facilitates a clear understanding of
intervention function and why specic behaviour change
techniques were chosen and incorporated. Involving patients
at the earliest possible opportunity in this process(co-design)
is crucial to later success. A robust intervention development
process supports subsequent evaluation and the understanding
of why a given intervention does (or does not) perform well
[21]. If an evidence base for digital solutions is to be built,
we must use this to capitalise on the efforts already made
and further develop those interventions now available to
Figure 1 Framework for digitally facilitated prehabilitation support. PROM, patient-reported outcome measure; PREM, patient-
reported experience measure. Adapted with permission from [24].
©2021 Association of Anaesthetists 3
Editorial Anaesthesia 2021
provide the best chance of real-world durable success and
ensure a return on resource investment. A time-efcient
combined approach may be possible; however, close
synergy will be required between industry and NHS
partners in achieving this. The authors are aware of several
examples in the UK where this type of collaboration is
already underway.
One particular concern that is widely discussed is
the concept of digital exclusion. For many of the patients
who stand to benet most, the offer of a digital prehabilitation
intervention may be unappealing, anxiety provoking or
completely inaccessible. Digital exclusion is strongly
associated with wider health inequality. It is estimated that
20% of the UK population (11.6 million people) lack basic
digital skills, or do not use digital technology at all. This group
is likely to predominantly comprise people who are older or
from a poorer socio-economic background (and therefore
lacked opportunity), both of which are associated with an
increased risk of chronic ill-health and utilisation of healthcare
services. In a move towards digital, without a plan to
proactively address this, we run the risk of worsening the
situation we aimed to improve. In the Digital Inclusion Guide
for Health and Social Care [22], NHS digital identies several
key barriers, including:
(i) Condence and skills - patients may lack the
information technology literacy necessary or fear risks
such as online crime. Interventions must be co-
designed with intended users with this in mind.
(ii) Opportunity and access - 20% of households with an
adult >65 years of age may lack an internet connection
or have variable device access. For example, learning
from Digital Joint School identied that older patients
may be more comfortable using desktop devices over
mobile alternatives [14].
(iii) Motivation, awareness, and staff capability and capacity -
patients may be unaware of resources available or the
potential benets to them. Staff involvement in the design
process is critical to build condence in recommending
digital interventions to patients and supporting their
usage.
NHS Digital recommends a holistic series of cross-sector
measures that can be undertaken to address these barriers
based upon local needs and barriers, adopting learning from
the NHS widening digital participation programme [23] that
demonstrated a £6.40 return on investment for every £1
spent on inclusion support (see Box1).
Clearly, active input and collaboration across several
agencies, including healthcare and industry partners, will be
required to meet this challenge.
In conclusion, the marked shift to digital prehabilitation
delivery holds enormous potential to produce rapidly
scalable solutions that can support patients facing extended
waits for surgery. Realising this potential will require
thoughtful intervention development that places patients at
the centre, minimises the risk of increasing inequalities and
supports creation of an evidence base. Finally, despite
efforts to deliver inclusive digital solutions that meet patient
and service needs, demand will continue for equally
robustly developed face-to-face and paper-basedremote
options. If our aim is to engage the fullest range of patients
in prehabilitation activity, a menu of options will be required
as one size cannot t all.
Acknowledgements
GD provides consultancy advice to Sapien Health Ltd, a
health coaching company. GD and JD have received a
national open grant award from Sport England for research
Box 1
Community digital skills training: community online
centres can provide support to patients, delivered in
partnership between public, private and voluntary
sector organisations.
Digital champions: designated patient volunteers
and staff can access training to support others in
enhancing their skills and understand the potential
benets of getting online. Enhancing the digital skills
of staff to act in this role is a focus of the Health
Education England (HEE) digital capabilities
framework [24].
Intergenerational mentoring: digitally enabled family
members and friends are a powerful resource to
introduce and support older patients in utilising
available resources.
Assistive technologies: patients facing physical
barriers to inclusion, for example poor eyesight
preventing keyboard usage can be supported by
dedicated technologies such as voice activated
systems.
Signposting to free public Wi-Fi: patients can be
signposted and supported to safely access freely
available Wi-Fi including at most NHS GP practices.
Social prescribing: social prescribing initiatives are
now embedded within NHS primary care and ideally
placed to connect patients to locally available digital
support.
4©2021 Association of Anaesthetists
Anaesthesia 2021 Editorial
to develop a digital prehabilitation platform for patients
before surgery. GD holds an Honorary Chair at Teesside
University (Middlesbrough, UK) and is Clinical Lead for
South Tees prehabilitation strategy and implementation. No
competing interests declared.
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Editorial Anaesthesia 2021
... As a result, a digital strategy is forming a key part of emerging prehabilitation interventions. 21 However, in order to understand the potential of these devices in perioperative care, a baseline dataset is urgently required. Interventional studies to increase patients' preoperative step count are frequently designed without baseline step count data of the study population and commonly accepted universal markers of activity such as 10,000 daily steps are unreliable. ...
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Background Wrist-worn activity monitors may provide a novel cost-effective method to risk stratify patients before surgery as well as instigate and monitor both prehabilitation and rehabilitation to improve patient fitness and therefore perioperative outcomes. This may address a number of key issues facing the health of the expanding perioperative population. However, a baseline dataset using smartwatches is urgently required before interventional strategies can be robustly developed. Aims To pilot the use of wrist-worn consumer smartwatches in participants undergoing major surgery. To assess feasibility of their use and direct methodology for a future large cohort study. This will be used to assess the clinical utility of these watches in future research. Methods A UK university hospital-based, 50 participant pilot study, using Garmin Vivofit 4 smartwatches. Participants undergoing major abdominal surgery will wear watches 2 weeks prior, and 4 weeks following, their surgery. Primary outcomes will assess feasibility including; proportion of eligible patients recruited, watch wear compliance and secondary outcome data collection. Secondary outcomes will include the smartwatch data itself and assessments of postoperative outcome. Conclusion The data generated will underpin future funding applications with the aim to provide the key observational dataset required for robust integration of smartwatches into perioperative care.
... 26 The authors have recently published a proposed framework for delivery of digital prehabilitation, setting out future requirements and strategies for scalable implementation. 27 One major concern is the risk of digital exclusion in our target population (predominantly older adults). However, this group is becoming increasingly engaged with digital technology, with 75% of adults aged 65-74 years reporting they regularly use the internet. ...
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... The project continues to improve through digital technology, using activity monitors to incentivise patients and smartphones to disseminate exercise plans. 22 Funding has been secured for biweekly virtual exercise classes which will enable a greater number of patients to participate in ability appropriate physical prehabilitation sessions. These virtual sessions will enable assessment of patients' functional progress. ...
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Introduction Prehabilitation aims to improve physiological reserve and psychological resilience, enabling patients to better tolerate the physiological stress of major surgery, thereby reducing the risk of complications and improving surgical outcomes. In this review, we provide an update of the development of prehabilitation in patients having cancer surgery. Methods We searched databases of peer‐reviewed research to identify appropriate papers. Keywords comprised ‘prehabilitation’, ‘cancer surgery’ and associated synonyms (prehab; pre‐operative rehabilitation; cancer). The results were combined with articles identified by reviewing the references of key papers and the use of the grey literature to develop our discussion. Results We detail the different elements of prehabilitation (exercise, nutrition, psychological support) relevant to patients with cancer undergoing surgery, focusing on the recent evidence base and ongoing challenges. Within this, we consider the role of behaviour change in enabling patients to undertake prehabilitation interventions and reflect on the different models of prehabilitation that have been utilised. Facilitators and barriers to implementation of prehabilitation are explored. Key findings include positioning prehabilitation as an integral part of the oncological surgical pathway which includes, but is discrete from, medical optimisation. Discussion Prehabilitation has the potential to improve surgical outcomes for patients undergoing cancer surgery. Further evidence is needed to understand how and what we provide to patients as optimal exercise, nutrition and psychological interventions as part of their surgical care, and how we improve long‐term lifestyle using behaviour change methodology. Digital technology offers the opportunity for scaling and greater personalisation of prehabilitation but needs to be deliberately fashioned to ensure equitable access.
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We aimed to determine the impact of pre-operative isolation on postoperative pulmonary complications after elective surgery during the global SARS-CoV-2 pandemic. We performed an international prospective cohort study including patients undergoing elective surgery in October 2020. Isolation was defined as the period before surgery during which patients did not leave their house or receive visitors from outside their household. The primary outcome was postoperative pulmonary complications, adjusted in multivariable models for measured confounders. Pre-defined subgroup analyses were performed for the primary outcome. A total of 96,454 patients from 114 countries were included and overall, 26,948 (27.9%) patients isolated before surgery. Postoperative pulmonary complications were recorded in 1947 (2.0%) patients of which 227 (11.7%) were associated with SARS-CoV-2 infection. Patients who isolated pre-operatively were older, had more respiratory comorbidities and were more commonly from areas of high SARS-CoV-2 incidence and high-income countries. Although the overall rates of postoperative pulmonary complications were similar in those that isolated and those that did not (2.1% vs 2.0%, respectively), isolation was associated with higher rates of postoperative pulmonary complications after adjustment (adjusted OR 1.20, 95%CI 1.05-1.36, p = 0.005). Sensitivity analyses revealed no further differences when patients were categorised by: pre-operative testing; use of COVID-19-free pathways; or community SARS-CoV-2 prevalence. The rate of postoperative pulmonary complications increased with periods of isolation longer than 3 days, with an OR (95%CI) at 4-7 days or ≥ 8 days of 1.25 (1.04-1.48), p = 0.015 and 1.31 (1.11-1.55), p = 0.001, respectively. Isolation before elective surgery might be associated with a small but clinically important increased risk of postoperative pulmonary complications. Longer periods of isolation showed no reduction in the risk of postoperative pulmonary complications. These findings have significant implications for global provision of elective surgical care.
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Background The COVID-19 pandemic is expected to have far-reaching consequences on population health. We investigated whether these consequences included changes in health-impacting behaviours which are important drivers of health inequalities. Methods Using data from five representative British cohorts (born 2000–2002, 1989–1990, 1970, 1958 and 1946), we investigated sleep, physical activity (exercise), diet and alcohol intake (N=14 297). We investigated change in each behaviour (pre/during the May 2020 lockdown), and differences by age/cohort, gender, ethnicity and socioeconomic position (childhood social class, education attainment and adult financial difficulties). Logistic regression models were used, accounting for study design and non-response weights, and meta-analysis used to pool and test cohort differences in association. Results Change occurred in both directions—shifts from the middle part of the distribution to both declines and increases in sleep, exercise and alcohol use. Older cohorts were less likely to report changes in behaviours while the youngest reported more frequent increases in sleep, exercise, and fruit and vegetable intake, yet lower alcohol consumption. Widening inequalities in sleep during lockdown were more frequent among women, socioeconomically disadvantaged groups and ethnic minorities. For other outcomes, inequalities were largely unchanged, yet ethnic minorities were at higher risk of undertaking less exercise and consuming lower amounts of fruit and vegetables. Conclusions Our findings provide new evidence on the multiple changes to behavioural outcomes linked to lockdown, and the differential impacts across generation, gender, socioeconomic circumstances across life, and ethnicity. Lockdown appeared to widen some (but not all) forms of health inequality.
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The scale of the COVID-19 pandemic means that a significant number of patients who have previously been infected with SARS-CoV-2 will require surgery. Given the potential for multisystem involvement, timing of surgery needs to be carefully considered to plan for safe surgery. This consensus statement uses evidence from a systematic review and expert opinion to highlight key principles in the timing of surgery. Shared decision-making regarding timing of surgery after SARS-CoV-2 infection must account for severity of the initial infection; ongoing symptoms of COVID-19; comorbid and functional status; clinical priority and risk of disease progression; and complexity of surgery. For the protection of staff, other patients and the public, planned surgery should not be considered during the period that a patient may be infectious. Precautions should be undertaken to prevent pre- and peri-operative infection, especially in higher risk patients. Elective surgery should not be scheduled within 7 weeks of a diagnosis of SARS-CoV-2 infection unless the risks of deferring surgery outweigh the risk of postoperative morbidity or mortality associated with COVID-19. SARS-CoV-2 causes either transient or asymptomatic disease for most patients, who require no additional precautions beyond a 7-week delay, but those who have persistent symptoms or have been hospitalised require special attention. Patients with persistent symptoms of COVID-19 are at increased risk of postoperative morbidity and mortality even after 7 weeks. The time before surgery should be used for functional assessment, prehabilitation and multidisciplinary optimisation. Vaccination several weeks before surgery will reduce risk to patients and might lessen the risk of nosocomial SARS-CoV-2 infection of other patients and staff. National vaccine committees should consider whether such patients can be prioritised for vaccination. As further data emerge, these recommendations may need to be revised, but the principles presented should be considered to ensure safety of patients, the public and staff.
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Multimodal prehabilitation is increasingly recognized as an important component of the pre-operative pathway in oncology. It aims to optimize physical and psychological health through delivery of a series of tailored interventions including exercise, nutrition, and psychological support. At the core of this prescription is a need for considerable health behavior change, to ensure that patients are engaged with and adhere to these interventions and experience the associated benefits. To date the prehabilitation literature has focused on testing the efficacy of devised exercise and nutritional interventions with a primary focus on physiological and mechanistic outcomes with little consideration for the role of behavioral science, supporting individual behavior change or optimizing patient engagement. Changing health behavior is complex and to maximize success, prehabilitation programs should draw on latest insights from the field of behavioral science. Behavioral science offers extensive knowledge on theories and models of health behavior change to further advance intervention effectiveness. Similarly, interventions developed with a person-centered approach, taking into consideration individual needs and preferences will increase engagement. In this article, we will provide an overview of the extent to which the existing prehabilitation literature incorporates behavioral science, as well as studies that have explored patient's attitudes toward prehabilitation. We will go on to describe and critique ongoing trials in a variety of contexts within oncology prehabilitation and discuss how current scientific knowledge may be enhanced from a behavioral science perspective. We will also consider the role of “surgery schools” and detail practical recommendations that can be embedded in existing or emerging clinical settings.
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Objectives To provide baseline cohort descriptives and assess change in health behaviours since the UK COVID‐19 lockdown. Design A prospective cohort (N = 1,044) of people recruited online, purposively targeting vulnerable populations. Methods After a baseline survey (April 2020), participants completed 3 months of daily ecological momentary assessments (EMA). Dietary, physical activity, alcohol, smoking, vaping and substance use behaviours collected retrospectively for the pre‐COVID‐19 period were compared with daily EMA surveys over the first 30 days during early lockdown. Predictors of behaviour change were assessed using multivariable regression models. Results 30% of the cohort had a COVID‐19 at risk health condition, 37% were classed as deprived and 6% self‐reported a mental health condition. Relative to pre‐pandemic levels, participants ate almost one portion of fruit and vegetables less per day (vegetables mean difference −0.33, 95% CI −0.40, −0.25; fruit −0.57, 95% CI −0.64, −0.50), but showed no change in high sugar portions per day (−0.03, 95% CI −0.12, 0.06). Participants spent half a day less per week doing ≥30 min of moderate to vigorous physical activity (−0.57, 95% CI −0.73, −0.40) but slightly increased days of strength training (0.21, 95% CI 0.09, 0.34), increased alcohol intake (AUDIT‐C score change 0.25, 95% CI 0.13, 0.37), though did not change smoking, vaping or substance use behaviour. Worsening health behaviour change was associated with being younger, female and higher body mass index. Conclusions The cohort reported worsening health behaviours during early lockdown. Longer term changes will be investigated using further waves of data collection.
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Background: There are concerns that COVID-19 mitigation measures, including the 'lockdown', may have unintended health consequences. We examined trends in mental health and health behaviours in the UK before and during the initial phase of the COVID-19 lockdown and differences across population subgroups. Methods: Repeated cross-sectional and longitudinal analysis of the UK Household Longitudinal Study, including representative samples of over 27,000 adults (aged 18+) interviewed in four survey waves between 2015 and 2020. A total of 9748 adults had complete data for longitudinal analyses. Outcomes included psychological distress (General Health Questionnaire-12), loneliness, current cigarette smoking, use of e-cigarettes and alcohol consumption. Cross-sectional prevalence estimates were calculated and multilevel Poisson regression assessed associations between time period and the outcomes of interest, as well as differential associations by age, gender, education level and ethnicity. Results: Psychological distress increased 1 month into lockdown with the prevalence rising from 19.4% (95% CI 18.7% to 20.1%) in 2017-2019 to 30.6% (95% CI 29.1% to 32.3%) in April 2020 (RR=1.3, 95% CI 1.2 to 1.4). Groups most adversely affected included women, young adults, people from an Asian background and those who were degree educated. Loneliness remained stable overall (RR=0.9, 95% CI 0.6 to 1.5). Smoking declined (RR=0.9, 95% CI=0.8,1.0) and the proportion of people drinking four or more times per week increased (RR=1.4, 95% CI 1.3 to 1.5), as did binge drinking (RR=1.5, 95% CI 1.3 to 1.7). Conclusions: Psychological distress increased 1 month into lockdown, particularly among women and young adults. Smoking declined, but adverse alcohol use generally increased. Effective measures are required to mitigate negative impacts on health.