scholarly journals Loneliness during lockdown: trajectories and predictors during the COVID-19 pandemic in 35,712 adults in the UK

Author(s):  
Feifei Bu ◽  
Andrew Steptoe ◽  
Daisy Fancourt

AbstractThere are increasing worries that lockdowns and “stay-at-home” orders due to the COVID-19 pandemic could lead to a rise in loneliness, which is recognised as a major public health concern. But profiles of loneliness during the pandemic and risk factors remain unclear.Data from 35,712 UK adults in the UCL COVID-19 Social Study (a panel study collecting data weekly during the pandemic) were analysed from 21/03/2020-03/05/2020. The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and geographical location. Growth mixture modelling was used to identify the latent classes of loneliness growth trajectories and their predictors.Analyses revealed four classes, with the baseline loneliness level ranging from low to high. In the first six weeks of lockdown, loneliness levels increased in the highest loneliness group, decreased in the lowest loneliness group, and stayed relatively constant in the middle two groups. Younger adults (OR = 2.17–6.81), women (OR = 1.59), people with low income (OR = 1.3), the economically inactive (OR = 1.3–2.04) and people with mental health conditions (OR = 5.32) were more likely to be in highest loneliness class relative to the lowest. Further, living with others or in a rural area, and having more close friends or greater social support were protective.Perceived levels of loneliness in the first few weeks of lockdown during COVID-19 were relatively stable in the UK, but for many people these levels were high with no signs of improvement. Results suggest that more efforts are needed to address loneliness, especially amongst young people.

2021 ◽  
Author(s):  
Feifei Bu ◽  
Hei Wan Mak ◽  
Jessica K Bone ◽  
Daisy Fancourt

Aims: This study aimed to examine potential heterogeneity in longitudinal changes in home-based arts engagement during the first national lockdown and following gradual easing of restrictions in the UK. Further, it sought to explore factors that were associated with patterns of longitudinal changes in home-based arts engagement. Methods: Data were from the UCL COVID-19 Social Study. The analytical sample consisted of 29,147 adults in the UK who were followed up for 22 weeks from 21st March to 21st August 2020. Data were analysed using growth mixture models. Results: Our analyses identified five classes of growth trajectories. There were two stable classes showing little change in arts engagement over time (64.4% in total), two classes showing initial increases in arts engagement followed by declines as restrictions were eased (29.8%), and one class showing slight declines during strict lockdown followed by an increase in arts engagement after the easing of restrictions (5.9%). A range of factors were found to be associated with class membership of these arts engagement trajectories, such as age, gender, education, income, employment status, and health. Conclusions: There is substantial heterogeneity in longitudinal changes in home-based arts engagement. For participants whose engagement changed over time, growth trajectories of arts engagement were related to changes in lockdown measures. These findings suggest that some individuals may have drawn on the arts when they needed them the most, such as during the strict lockdown period, even if they usually had lower levels of arts engagement before the pandemic. Overall, our results indicate the importance of promoting arts engagement during pandemics and periods of lockdown as part of public health campaigns.


2020 ◽  
Author(s):  
Moritz Herle ◽  
Andrea Smith ◽  
Feifei Bu ◽  
Andrew Steptoe ◽  
Daisy Fancourt

Background: The COVID-19 pandemic has led to the implementation of stay-at-home and lockdown measures. It is currently unknown if the experience of lockdown leads to long term changes in individual’s eating behaviors.Objective: The objectives of this study were: i) to derive longitudinal trajectories of change in eating during UK lockdown, and ii) to identify risk factors associated with eating behavior trajectories. Design: Data from 22,374 UK adults from the UCL COVID-19 Social study (a panel study collecting weekly data during the pandemic) were analyzed from 28th March to 29th May 2020. Latent Class Growth Analysis was used to derive trajectories of change in eating. These were then associated with prior socio-economic, heath-related and psychological factors using multinomial regression models. Results: Analyses suggested five trajectories, with the majority (64%) showing no change in eating. In contrast, one trajectory was marked by persistently eating more, whereas another by persistently eating less. Overall, participants with greater depressive symptoms were more likely to report any change in eating. Loneliness was linked to persistently eating more (OR= 1.07), whereas being single or divorced, as well as stressful life events, were associated with consistently eating less (OR= 1.69). Overall, higher education status was linked to lower odds of changing eating behavior (OR= 0.54-0.77). Secondary exploratory analyses suggest that participants self-reported to have overweight were most common amongst the consistently overeaters, whereas underweight participants persistently ate less. Conclusion: In this study, we found that one third of the sample report changes in quantities eaten throughout the first UK lockdown period. Findings highlight the importance of adjusting public health programs to support eating behaviors in future lockdowns both in this and potential future pandemics. This is particularly important as part of on-going preventive efforts to prevent nutrition-related chronic diseases.


2020 ◽  
Author(s):  
Feifei Bu ◽  
Andrew Steptoe ◽  
Hei Wan Mak ◽  
Daisy Fancourt

There is currently major concern about the impact of the global COVID 19 outbreak on mental health. But it remains unclear how individual behaviors could exacerbate or protect against adverse changes in mental health. This study aimed to examine the associations between specific activities (or time use) and mental health and wellbeing amongst people during the COVID 19 pandemic. Data were from the UCL COVID 19 Social Study; a panel study collecting data weekly during the COVID 19 pandemic. The analytical sample consisted of 55,204 adults living in the UK who were followed up for the strict 11 week lockdown period from 21st March to 31st May 2020. Data were analyzed using fixed effects and Arellano Bond models. We found that changes in time spent on a range of activities were associated with changes in mental health and wellbeing. After controlling for bidirectionality, behaviors involving outdoor activities including gardening and exercising predicted subsequent improvements in mental health and wellbeing, while increased time spent on following news about COVID 19 predicted declines in mental health and wellbeing. These results are relevant to the formulation of guidance for people obliged to spend extended periods in isolation during health emergencies, and may help the public to maintain wellbeing during future pandemics.


2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sara McCullough ◽  
Gary Adamson ◽  
Karen M. M. Breslin ◽  
Julie F. McClelland ◽  
Lesley Doyle ◽  
...  

Abstract This report describes development of spherical equivalent refraction (SER) and axial length (AL) in two population-based cohorts of white, European children. Predictive factors for myopic growth were explored. Participants were aged 6–7- (n = 390) and 12–13-years (n = 657) at baseline. SER and AL were assessed at baseline and 3, 6 and 9 years prospectively. Between 6 and 16 years: latent growth mixture modelling identified four SER classes (Persistent Emmetropes-PEMM, Persistent Moderate Hyperopes-PMHYP, Persistent High Hyperopes-PHHYP and Emerging Myopes-EMYO) as optimal to characterise refractive progression and two classes to characterise AL. Between 12 and 22-years: five SER classes (PHHYP, PMHYP, PEMM, Low Progressing Myopes-LPMYO and High Progressing Myopes-HPMYO) and four AL classes were identified. EMYO had significantly longer baseline AL (≥ 23.19 mm) (OR 2.5, CI 1.05–5.97) and at least one myopic parent (OR 6.28, CI 1.01–38.93). More myopic SER at 6–7 years (≤ + 0.19D) signalled risk for earlier myopia onset by 10-years in comparison to baseline SER of those who became myopic by 13 or 16 years (p ≤ 0.02). SER and AL progressed more slowly in myopes aged 12–22-years (− 0.16D, 0.15 mm) compared to 6–16-years (− 0.41D, 0.30 mm). These growth trajectories and risk criteria allow prediction of abnormal myopigenic growth and constitute an important resource for developing and testing anti-myopia interventions.


2021 ◽  
Author(s):  
Feifei Bu ◽  
Jessica K Bone ◽  
John J Mitchell ◽  
Andrew Steptoe ◽  
Daisy Fancourt

AbstractBackgroundRecent studies have shown reduced physical activity at early stages of the COVID-19 pandemic. However, there is a lack of investigation on longitudinal changes in physical activity beyond lockdowns and stay at home orders. Moreover, it is unclear if there is heterogeneity in physical activity growth trajectories. This study aimed to explore longitudinal patterns of physical activity and factors associated with them.MethodsData were from the UCL COVID -19 Social Study. The analytical sample consisted of 35,915 adults in England who were followed up for 22 weeks from 24th March to 23rd August 2020. Data were analysed using growth mixture models.FindingsOur analyses identified six classes of growth trajectories, including three stable classes showing little change over time (62.4% in total), two classes showing decreasing physical activity (28.6%), and one class showing increasing physical activity over time (9%). A range of factors were found to be associated the class membership of physical activity trajectories, such as age, gender, education, income, employment status, and health.InterpretationThere is substantial heterogeneity in longitudinal changes in physical activity during the COVID-19 pandemic. However, a substantial proportion of our sample showed persistent physical inactivity or decreasing physical activity. Given the well-established linked between physical activity and health, persistent or increased physical inactivity is likely to have both immediate and long-term implications for people’s physical and mental health, as well as general wellbeing. More efforts are needed to promote physical activity during the pandemic and beyond.FundingNuffield Foundation, UK Research and Innovation, Wellcome Trust


2002 ◽  
Vol 8 (1) ◽  
pp. 19-34 ◽  
Author(s):  
Susan MacAskill ◽  
Martine Stead ◽  
Anne Marie MacKintosh ◽  
Gerard Hastings

Smoking levels have not declined among those living in disadvantaged communities in the UK, presenting a major public health concern. Drawing on qualitative and quantitative data, this article suggests that core concepts of social marketing provide a meaningful framework for identifying appropriate smoking cessation interventions and policy responses. Understanding the consumer reveals that tobacco meets many needs in the struggle to cope with limited income intensified by poorly resourced local infrastructure and limited opportunities. An almost overwhelming range of threats to cessation includes the impact of disadvantage, strong prosmoking norms and environments, and, unsurprisingly, the tobacco industry's reinforcement of continued smoking. Important opportunities include smokers' underlying wish to be nonsmokers, positive responses to new approaches, and gradual amelioration of problems for which smoking provides a coping mechanism. Finally, what is the meaningful exchange that can be offered to smokers in the challenging quitting process? Better health or more money alone are unlikely to be accepted as realistic benefits. Instead, integrated long-term support is required, reflecting the long-term reinforcement strategies of the tobacco industry. At a macro level, policies address hardship. At a community level, increased resources and training give workers tangible products and greater confidence. At a micro level, smokers need tailored “packages” of support, addressing personal barriers to success.


2020 ◽  
pp. jech-2020-214475 ◽  
Author(s):  
Liam Wright ◽  
Andrew Steptoe ◽  
Daisy Fancourt

BackgroundDespite media claims that coronavirus disease 2019 (COVID-19) is uniting societies and countries in shared experience, there has been concern that the pandemic is in fact exposing and widening existing inequalities within societies. Data have shown these differences for cases and fatalities, but data on other types of adversities are lacking. Therefore, this study explored the changing patterns of adversity relating to the COVID-19 pandemic by socioeconomic position (SEP) during the early weeks of lockdown in the UK.MethodsData were from 12 527 UK adults in the University College London COVID-19 Social Study (a panel study that involves online weekly data collection from participants during the COVID-19 pandemic). We analysed data collected from 25 March to 14 April 2020. The sample was well-stratified and weighted to population proportions of gender, age, ethnicity, education and country of living. We used Poisson and logit models to assess 10 different types of adverse experiences depending on an index of SEP over time.ResultsThere was a clear gradient across the number of adverse events experienced each week by SEP. This was most clearly seen for adversities relating to finances (including loss of employment and cut in income) and basic needs (including access to food and medications) but less for experiences directly relating to the virus. Inequalities were maintained with no reductions in discrepancies between socioeconomic groups over time.ConclusionsThere were clear inequalities in adverse experiences during the COVID-19 pandemic in the early weeks of lockdown in the UK. Results suggest that measures taken to try to reduce such adverse events did not go far enough in tackling inequality.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Feifei Bu ◽  
Jessica K. Bone ◽  
John J. Mitchell ◽  
Andrew Steptoe ◽  
Daisy Fancourt

AbstractRecent studies have shown reduced physical activity at early stages of the COVID-19 pandemic. However, there is a lack of investigation on longitudinal changes in physical activity beyond lockdowns and stay-at-home orders. Moreover, it is unclear if there is heterogeneity in physical activity growth trajectories. This study aimed to explore longitudinal patterns of physical activity and factors associated with them. Data were from the UCL COVID-19 Social Study. The analytical sample consisted of 35,915 adults in England who were followed up for 22 weeks from 24th March to 23rd August 2020. Data were analysed using growth mixture models. Our analyses identified six classes of growth trajectories, including three stable classes showing little change over time (62.4% in total), two classes showing decreasing physical activity (28.6%), and one class showing increasing physical activity over time (9%). A range of factors were found to be associated the class membership of physical activity trajectories, such as age, gender, education, income, employment status, and health. There is substantial heterogeneity in longitudinal changes in physical activity during the COVID-19 pandemic. However, a substantial proportion of our sample showed persistent physical inactivity or decreasing physical activity. Given the well-established link between physical activity and health, persistent or increased physical inactivity is likely to have both immediate and long-term implications for people’s physical and mental health, as well as general wellbeing. More efforts are needed to promote physical activity during the pandemic and beyond.


2020 ◽  
Author(s):  
Liam Wright ◽  
Daisy Fancourt

AbstractIn the absence of a vaccine, governments have focused on behaviour change (e.g. social distancing and enhanced hygiene procedures) to tackle the COVID-19 pandemic. Existing research on the predictors of compliance with pandemic measures has often produced discrepant results. One explanation for this may be that the determinants of compliance are context specific. Understanding whether this is the case is important for designing public health messaging and for evaluating the generalisability of existing research. We used data from the UCL COVID-19 Social Study; a large weekly panel of UK adults from first five months of lockdown in the UK (n = 21,000). We tested whether the extent to which demographic, socio-economic position, personality traits, pro-social motivations, and the living environment predict compliance changed across the pandemic. Low compliance was strongly related to younger age and also to risk attitudes, empathic concern, and high income, among other factors. But the size of some of these associations was larger in later months when less stringent lockdown and household mixing measures were in place, suggesting context-specific effects. The results also showed that compliance fell faster across some groups, suggesting the importance that public health communications adopt a plurality of messages to maximize broad adherence.


Author(s):  
Daisy Fancourt ◽  
Andrew Steptoe ◽  
Feifei Bu

AbstractBackgroundThere is currently major concern about the impact of the global COVID-19 outbreak on mental health.A number of studies suggest that mental health deteriorated in many countries prior to enforced isolation (“lockdown”), but it remains unknown how mental health has changed during lockdown.AimsThis study explored trajectories of anxiety and depression over the first two months of lockdown using data from the UK, and compared the experiences of individuals with and without diagnosed mental illness.MethodsData from 53,328 adults in the UCL COVID-19 Social Study (a well-stratified panel study weighted to population proportions collecting data weekly during the Covid-19 pandemic) were analysed from 21/03/2020-10/05/2020. Growth curve modelling was fitted accounting for socio-demographic and health covariates.Results24.4% of the sample had scores indicating moderate-severe anxiety, and 31.4% indicating moderate-severe depressive symptoms. Over the first two months of lockdown, there was only a slight decrease in anxiety levels amongst participants as a whole and a very small decrease in depression levels between weeks 3-6 that then increased again in weeks 7-8. Adults with pre-existing diagnoses of mental health conditions had higher levels of anxiety and depression but there was no evidence of widening inequalities in mental health experiences compared to people without existing mental illness.ConclusionsResults suggest there has been little improvement in depression and only slight improvements in anxiety since lockdown commenced in the UK. These findings suggest greater efforts need to be made to help individuals manage their mental health during the pandemic.


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