Impact of COVID-19 lockdowns on mental health: Evidence from a quasi-natural experiment in England and Scotland.
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SUBMITTER: Serrano-Alarcon M
PROVIDER: S-EPMC8646947 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:BackgroundEvidence showed that mental health problems have risen markedly during COVID-19. It is unclear if part of the mental sufferings relates to the climate of uncertainty and confusion originated from rough communication by health officials and politicians. Here, we test the impact of unanticipated policy announcements of lockdown policies on mental health of the older population.MethodsWe used a representative telephone-based survey of 4400 people aged 65 years or older in Italy's Lombardy region to compare information on self-reported symptoms of anxiety, depression and poor-quality sleep of subjects interviewed on the days of the policy announcement with that of subjects interviewed on other days. We used regression models adjusting for potential socio-demographic confounders as well study design with inverse probability weighting.ResultsOn days when policymakers announced to extend the lockdown, mental health deteriorated on average by 5.5 percentage points [95% confidence interval (CI): 1.1-9.8] for self-reported anxiety symptoms and 5.1 percentage points (95% CI: 2.7-7.4) for self-reported depressive symptoms. The effect of the announcement to shorten the lockdown is more moderate but statistically significant. These associations were short term in duration; after just 1 day, self-reported mental health and sleep quality return to levels better than pre-announcement until a new policy change.ConclusionsOur research shows that lockdown policy announcements are associated with short-term worsening in mental distress, highlighting the importance of appropriate communication strategies and political determinations in crisis times.
| S-EPMC9159307 | biostudies-literature
Project description:The outbreak of coronavirus (COVID-19) in early 2020 posed a significant threat to people's health and economic sustainability in China and worldwide. This study investigated whether the lockdown measures precipitated by the COVID-19 pandemic affected air pollutants in the short term. Moreover, we investigated the impact of the heterogeneity of cities and regions. Using city-level daily panel data for the 2018-2020 lunar calendar, we employed a two-way fixed effects model and interrupted time-series analysis to inspect the effects of the lockdown measures. Interesting empirical findings emerged from our analysis. First, compared with the base period from 2018 to 2019, the COVID-19 lockdown measures significantly reduced air pollutants. In 2020, compared to 2018, PM10 and SO2 dropped by 15.28 μg/m3 and 6.55 μg/m3, and compared to 2019, PM2.5, PM10, and SO2 declined by 7.4 μg/m3, 19.34 μg/m3, and 1.41 μg/m3, respectively. Second, our dynamic analysis showed that as more time elapsed since the start of the lockdown, the associated reduction in air pollution became more significant. Third, the proportion of secondary industries and the cumulative number of confirmed cases had a considerable heterogeneity impact on lockdown measures. Policymakers should encourage investment in new infrastructure and initiatives to boost efficiency and enhance environmental outcomes.
| S-EPMC8020570 | biostudies-literature
Project description:BackgroundDuring the first UK COVID-19 lockdown, studies identified over half of inflammatory arthritis (IA) patients in the UK reported a worsening of emotional distress. Given the prolonged nature of the pandemic, and the strict 'shielding' restrictions imposed on 'extremely clinically vulnerable' populations, it is likely that the implementation of the second lockdown period in England, during November 2020, may also have had a negative impact on the mental health of IA patients. The aim of this study was to qualitatively explore the impact of consecutive lockdown periods on mental wellbeing in people with IA.MethodsNine IA patients took part in semi-structured telephone interviews at both baseline (June/July 2020) and follow-up (November 2020). The interview schedule, which was developed and piloted with a Patient Research Partner, explored patient experiences and mental health impacts of the COVID-19 lockdown periods. Interviews were analysed using inductive thematic analysis.ResultsFive males and four females, with rheumatoid arthritis, psoriatic arthritis, or spondylarthritis, aged between 24-79 years (mean = 49.9, SD = 20.9) were included in the sample. Four main themes impacting on mental wellbeing were identified from the data: (1) Pandemic fatigue versus pandemic acclimatisation, (2) Social interaction and isolation, (3) Clarity of information, (4) Seasonal changes.ConclusionThe first two COVID-19 lockdown periods in England had an ongoing impact on the mental health of patients with IA. Healthcare professionals, in conjunction with government support, should ensure that adequate information and mental health resources are available to support IA patients during periods of ongoing restrictions, whilst also continuing to encourage behaviours which promote good mental health and wellbeing.
| S-EPMC9241173 | biostudies-literature
Project description:We quantify the increase in physical domestic violence (family or intimate partner violence) experienced by young people aged 18-26 during the 2020 COVID-19 lockdowns in Peru. To do this we use an indirect methodology, the double list randomization experiment. The list experiment was embedded in a telephone survey to participants of the Young Lives study, a long-standing cohort survey. We find that 8.3% of the sample experienced an increase in physical violence within their households during the lockdown period. Those who had already reported experiencing domestic violence in the last round of (in-person) data collection in 2016 are more likely to have experienced increased physical violence during the COVID-19 lockdown, with 23.6% reporting an increase during this time. The reported increase in violence does not differ significantly by gender. List experiments, if carefully conducted, may be a relatively cheap and feasible way to elicit information about sensitive issues during a phone survey.
| S-EPMC8080075 | biostudies-literature
Project description:Lacking a federal policy to control the spread of COVID-19, state governors ordered lockdowns and mask mandates, at different times, generating a massive natural experiment. The authors exploit this natural experiment to address four issues: (1) Were lockdowns effective in reducing infections? (2) What were the costs to consumers? (3) Did lockdowns increase (signaling effect) or reduce (substitution effect) consumers’ mask adoption? (4) Did governors’ decisions depend on medical science or nonmedical drivers? Analyses via difference-in-differences and generalized synthetic control methods indicate that lockdowns causally reduced infections. Although lockdowns reduced infections by 480 per million consumers per day (equivalent to a reduction of 56%), they reduced customer satisfaction by 2.2%, consumer spending by 7.5%, and gross domestic product by 5.4% and significantly increased unemployment by 2% per average state by the end of the observation period. A counterfactual analysis shows that a nationwide lockdown on March 15, 2020, would have reduced total cases by 60%, whereas the absence of any state lockdowns would have resulted in five times more cases by April 30. The average cost of reducing the number of cases by one new infection was about $28,000 in lower gross domestic product.
| S-EPMC9836842 | biostudies-literature
Project description:ObjectivesTo assess primary impact of selective Licensing (SL), an area-based intervention in the private rented housing market, on individual self-reported anxiety and neighbourhood mental health (MHI-Mental Healthcare Index) and secondary impacts on antisocial behaviour (ASB), population turnover and self-reported well-being.DesignDifference-in-difference (DiD) was used to evaluate effects of SL schemes initiated 2012-2018. 921 intervention areas (lower super output areas) were matched 3:1 using propensity scores derived from sociodemographic and housing variables (N=3.684 including controls). Average treatment effect on treated (ATT) was calculated for multiple time period DiD in area-level analyses. Canonical DiD was used for individual-level analysis by year of treatment initiation while adjusting for age, sex, native birth and occupational class.SettingIntervention neighbourhoods and control areas in Greater London, UK, 2011-2019.ParticipantsWe sampled 4474 respondents renting privately in intervention areas (N=17 347 including controls) in Annual Population Survey and obtained area-level MHI population data.InterventionsPrivate landlords in SL areas must obtain a licence from the local authority, allow inspection and maintain minimum housing standards.ResultsATT after 5 years was significantly lower for MHI (-7.5%, 95% CI -5.6% to -8.8%) than controls. Antidepressant treatment days per population reduced by -5.4% (95% CI -3.7% to -7.3), mental health benefit receipt by -9.6% (95% CI -14% to -5.5%) and proportion with depression by -12% (95% CI -7.7% to -16.3%). ASB reduced by -15% (95% CI -21% to -8.2%). Population turnover increased by 26.5% (95% CI 22.1% to 30.8%). Sensitivity analysis suggests overlap with effects of London 2012 Olympic regeneration. No clear patterns were observed for self-reported anxiety.ConclusionsWe found associations between SL and reductions in area-based mental healthcare outcomes and ASB, while population turnover increased. A national evaluation of SL is feasible and necessary.
| S-EPMC9791445 | biostudies-literature
Project description:Background and aimsA ban on multi-buy discounts of off-trade alcohol was introduced as part of the Alcohol Act in Scotland in October 2011. The aim of this study was to assess the impact of this legislation on alcohol sales, which provide the best indicator of population consumption.Design, setting and participantsInterrupted time-series regression was used to assess the impact of the Alcohol Act on alcohol sales among off-trade retailers in Scotland. Models accounted for underlying seasonal and secular trends and were adjusted for disposable income, alcohol prices and substitution effects. Data for off-trade retailers in England and Wales combined (EW) provided a control group.MeasurementsWeekly data on the volume of pure alcohol sold by off-trade retailers in Scotland and EW between January 2009 and September 2012.FindingsThe introduction of the legislation was associated with a 2.6% (95% CI = -5.3 to 0.2%, P = 0.07) decrease in off-trade alcohol sales in Scotland, but not in EW (-0.5%, 95% CI = -4.6 to 3.9%, P = 0.83). A statistically significant reduction was observed in Scotland when EW sales were adjusted for in the analysis (-1.7%, 95% CI = -3.1 to -0.3%, P = 0.02). The decline in Scotland was driven by reduced off-trade sales of wine (-4.0%, 95% CI = -5.4 to -2.6%, P < 0.001) and pre-mixed beverages (-8.5%, 95% CI = -12.7 to -4.1%, P < 0.001). There were no associated changes in other drink types in Scotland, or in sales of any drink type in EW.ConclusionsThe introduction of the Alcohol Act in Scotland in 2011 was associated with a decrease in total off-trade alcohol sales in Scotland, largely driven by reduced off-trade wine sales.
| S-EPMC4241028 | biostudies-literature
Project description:We utilize a quasi-experiment derived from China's Huai River policy to investigate the effect of air pollution on adult chronic diseases. The policy led to higher pollution exposure in cities north of the river boundary because they received centralized coal-based heating supply from the government during winter, whereas cities in the south did not. By applying a geographic regression discontinuity design based on distance from the Huai River, we determine that a 10 μg/m3 increase in fine particulate matter (PM2.5) raises chronic diseases rates by 3.2% in adults, particularly cardiorespiratory system diseases. Furthermore, the same effects are observed on multiple chronic disease rates, but the rates are reduced to 1.3%. The effect of pollution exposure varies depending on age, gender, and urban/rural status. Our findings imply that reducing 10 μg/m3 of the average nationwide level of PM2.5 concentration will save 27.46 billion CNY (4.16 billion USD) in chronic disease costs.
| S-EPMC9880427 | biostudies-literature
Project description:AimsTo evaluate the impact of the 2011 Scottish ban on multi-buy promotions of alcohol in retail stores.Design and settingDifference-in-differences analysis was used to estimate the impact of the ban on the volume of alcohol purchased by Scottish households, compared with those in England and Wales, between January 2010 and June 2012.ParticipantsA total of 22?356 households in Scotland, England and Wales.MeasurementsRecords of alcohol purchasing from each of four categories (beer and cider, wine, spirits and flavoured alcoholic beverages), as well as total volume of pure alcohol purchased.FindingsControlling for general time trends and household heterogeneity, there was no significant effect of the multi-buy ban in Scotland on volume of alcohol purchased either for the whole population or for individual socio-economic groups. There was also no significant effect on those who were large pre-ban purchasers of alcohol. Most multi-buys were for beer and cider or for wine. The frequency of shopping trips involving beer and cider purchases increased by 9.2% following the ban (P?<?0.01), while the number of products purchased on each trip decreased by 8.1% (P?<?0.01). For wine, however, these effects were not significant.ConclusionsBanning multi-buy promotions for alcohol in Scotland did not reduce alcohol purchasing in the short term. Wider regulation of price promotion and price may be needed to achieve this.
| S-EPMC4227589 | biostudies-literature
Project description:BackgroundEngland's COVID-19 response transitioned from a national lockdown to localised interventions. In response to rising cases, these were supplemented by national restrictions on contacts (the Rule of Six), then 10 pm closing for bars and restaurants, and encouragement to work from home. These were quickly followed by a 3-tier system applying different restrictions in different localities. As cases continued to rise, a second national lockdown was declared. We used a national survey to quantify the impact of these restrictions on epidemiologically relevant contacts.MethodsWe compared paired measures on setting-specific contacts before and after each restriction started and tested for differences using paired permutation tests on the mean change in contacts and the proportion of individuals decreasing their contacts.ResultsFollowing the imposition of each measure, individuals tended to report fewer contacts than they had before. However, the magnitude of the changes was relatively small and variable. For instance, although early closure of bars and restaurants appeared to have no measurable effect on contacts, the work from home directive reduced mean daily work contacts by 0.99 (95% confidence interval CI] 0.03-1.94), and the Rule of Six reduced non-work and school contacts by a mean of 0.25 (0.01-0.5) per day. Whilst Tier 3 appeared to also reduce non-work and school contacts, the evidence for an effect of the lesser restrictions (Tiers 1 and 2) was much weaker. There may also have been some evidence of saturation of effects, with those who were in Tier 1 (least restrictive) reducing their contacts markedly when they entered lockdown, which was not reflected in similar changes in those who were already under tighter restrictions (Tiers 2 and 3).ConclusionsThe imposition of various local and national measures in England during the summer and autumn of 2020 has gradually reduced contacts. However, these changes are smaller than the initial lockdown in March. This may partly be because many individuals were already starting from a lower number of contacts.
| S-EPMC7892289 | biostudies-literature