Sharing positive behavior change made during COVID-19 lockdown: A mixed-methods coproduction study.

OBJECTIVE: The negative consequences of coronavirus disease 2019 (COVID-19) national lockdowns have been well documented, including the worsening of mental health for many and the amplification of preexisting inequalities. As a counterpoint, the current study uses a mixed-methods coproduction approach to share psychosocial insights into the adoption of positive changes made during national lockdown in Scotland. This study examines the psychosocial patterning of positive behavior changes and the psychosocial processes by which positive change was realized and shared these insights with partner organizations. METHOD: A sequential mixed-methods design included an online survey (N = 2,445) assessing positive changes in sleep and physical activity patterns and the role of sociodemographics, mood, social support, coping, and resilience using multivariate logistic regression analysis. Interviews were performed with a purposive diverse subsample of people self-reporting high levels of positive change (n = 48) and used thematic analysis. RESULTS: The survey identified that positive behavior change was significantly patterned by age, gender, and vulnerability to COVID-19. Higher levels of positive reframing and active coping in relation to stress were associated with higher levels of positive behavior change. Higher symptoms of depression, planning, and self-distraction were associated with less positive behavior change. Thematic analysis showed the centrality of perceptions of time, opportunities to self-reflect and engage with the natural world, access support in diverse ways, actively build routine, and purposefully build self-efficacy and a sense of control were key to initiating positive change. CONCLUSIONS: The current study yields insights into achieving positive behavior change at a time of international crisis. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Social Patterning and Stability of Intention to Accept a COVID-19 Vaccine in Scotland: Will Those Most at Risk Accept a Vaccine?

Vaccination is central to controlling COVID-19. Its success relies on having safe and effective vaccines and also on high levels of uptake by the public over time. Addressing questions of population-level acceptability, stability of acceptance, and sub-population variation in acceptability are imperative. Using a prospective design, a repeated measures two-wave online survey was conducted to assess key sociodemographic variables and intention to accept a COVID-19 vaccine. The first survey (Time 1) was completed by 3436 people during the period of national lockdown in Scotland and the second survey (n = 2016) was completed two months later (Time 2) when restrictions had been eased. In the first survey, 74% reported being willing to receive a COVID-19 vaccine. Logistic regression analyses showed that there were clear sociodemographic differences in intention to accept a vaccine for COVID-19 with intention being higher in participants of white ethnicity as compared with Black, Asian, and minority ethnic (BAME) groups, and in those with higher income levels and higher education levels. Intention was also higher in those who had "shielding" status due to underlying medical conditions. Our results suggest that future interventions, such as mass media and social marketing, need to be targeted at a range of sub-populations and diverse communities.

What have we learned about positive changes experienced during COVID-19 lockdown? Evidence of the social patterning of change.

BACKGROUND: Multiple studies have highlighted the negative impact of COVID-19 and its particular effects on vulnerable sub-populations. Complementing this work, here, we report on the social patterning of self-reported positive changes experienced during COVID-19 national lockdown in Scotland. METHODS: The CATALYST study collected data from 3342 adults in Scotland during weeks 9-12 of a national lockdown. Using a cross-sectional design, participants completed an online questionnaire providing data on key sociodemographic and health variables, and completed a measure of positive change. The positive change measure spanned diverse domains (e.g., more quality time with family, developing new hobbies, more physical activity, and better quality of sleep). We used univariate analysis and stepwise regression to examine the contribution of a range of sociodemographic factors (e.g., age, gender, ethnicity, educational attainment, and employment status) in explaining positive change. RESULTS: There were clear sociodemographic differences across positive change scores. Those reporting higher levels of positive change were female, from younger age groups, married or living with their partner, employed, and in better health. CONCLUSION: Overall our results highlight the social patterning of positive changes during lockdown in Scotland. These findings begin to illuminate the complexity of the unanticipated effects of national lockdown and will be used to support future intervention development work sharing lessons learned from lockdown to increase positive health change amongst those who may benefit.

Changes in Physical Activity, Sitting and Sleep across the COVID-19 National Lockdown Period in Scotland.

We examine the impact of the COVID-19 outbreak and concomitant restrictions (i.e., lockdown) on 24-hour movement behaviors (i.e., physical activity, sitting, sleep) in a purposive sample of people (n = 3230) reporting change recruited online. Participants' self-reported time spent in moderate-to-vigorous physical activity (MVPA), walking, sitting and sleep prior to lockdown (T1), during the first national lockdown (T2) and as restrictions initially started to ease (T3). For each 24-hour movement behavior, category-shifts are reported (positive, negative or did not change), as well as the percentage of participants recording positive/negative changes across clusters of behaviors and the percentage of participants recording improvement or maintenance of change across time. From T1 to T2 walking decreased, whereas MVPA, sitting and sleep increased, from T2 to T3 levels returned to pre-lockdown for all but MVPA. Participants who changed one behavior positively were more likely to report a positive change in another and 50% of those who reported positive changes from T1 to T2 maintained or improved further when restrictions started to ease. The current study showed that a large proportion of the sample reported positive changes, most notably those displaying initially poor levels of each behavior. These findings will inform salutogenic intervention development.