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      The psychosocial impact of the COVID-19 pandemic on changes in smoking behavior: Evidence from a nationwide survey in the UK

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          Abstract

          INTRODUCTION

          The stress and anxiety during this unprecedented public health crisis may lead current smokers to increase tobacco use or former smokers to relapse. Thus, this study aims to provide epidemiological evidence of the changes in smoking behavior among British smokers in response to the COVID-19 pandemic and assess the impact of psychosocial factors on these behaviors.

          METHODS

          A nationwide survey of a representative sample of 4075 UK respondents aged >16 years was conducted between 27 April and 24 May 2020 during the COVID-19 pandemic. Psychosocial and demographic variables between different smoking behavior groups were compared using Pearson’s χ 2 test and Cramer’s V.

          RESULTS

          Among current smokers (n=329), one-quarter (25.2%, n=86) reported smoking more than usual, 50.9% (n=174) reported smoking the same amount, and 20.2% (n=69) reported smoking less. Significant associations were observed between different smoking behavior groups and psychosocial factors. Pearson’s χ 2 test revealed significant differences between different smoking behavior groups in their concerns about mental health (p<0.001), anxiety (p<0.001) and stress (p<0.001), state of low mood (p=0.012), in the Patient Health Questionnaire (PHQ) score (p=0.018) and ranking on the Cantril Ladder scale (p<0.001). Many respondents expressed that the pandemic had a more negative impact on their mental health and the impact was more pronounced among those who smoked more.

          CONCLUSIONS

          Deterioration of mental health and psychosocial well-being were linked to increased smoking. Public health authorities should take proactive measures to provide mental healthcare and smoking cessation support as preventive measures to tackle the pandemic.

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          Most cited references18

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          The PHQ-9: A New Depression Diagnostic and Severity Measure

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            COVID-19 and smoking: A systematic review of the evidence

            COVID-19 is a coronavirus outbreak that initially appeared in Wuhan, Hubei Province, China, in December 2019, but it has already evolved into a pandemic spreading rapidly worldwide 1,2 . As of 18 March 2020, a total number of 194909 cases of COVID-19 have been reported, including 7876 deaths, the majority of which have been reported in China (3242) and Italy (2505) 3 . However, as the pandemic is still unfortunately under progression, there are limited data with regard to the clinical characteristics of the patients as well as to their prognostic factors 4 . Smoking, to date, has been assumed to be possibly associated with adverse disease prognosis, as extensive evidence has highlighted the negative impact of tobacco use on lung health and its causal association with a plethora of respiratory diseases 5 . Smoking is also detrimental to the immune system and its responsiveness to infections, making smokers more vulnerable to infectious diseases 6 . Previous studies have shown that smokers are twice more likely than non-smokers to contract influenza and have more severe symptoms, while smokers were also noted to have higher mortality in the previous MERS-CoV outbreak 7,8 . Given the gap in the evidence, we conducted a systematic review of studies on COVID-19 that included information on patients’ smoking status to evaluate the association between smoking and COVID-19 outcomes including the severity of the disease, the need for mechanical ventilation, the need for intensive care unit (ICU) hospitalization and death. The literature search was conducted on 17 March 2020, using two databases (PubMed, ScienceDirect), with the search terms: [‘smoking’ OR ‘tobacco’ OR ‘risk factors’ OR ‘smoker*’] AND [‘COVID-19’ OR ‘COVID 19’ OR ‘novel coronavirus’ OR ‘sars cov-2’ OR ‘sars cov 2’] and included studies published in 2019 and 2020. Further inclusion criteria were that the studies were in English and referred to humans. We also searched the reference lists of the studies included. A total of 71 studies were retrieved through the search, of which 66 were excluded after full-text screening, leaving five studies that were included. All of the studies were conducted in China, four in Wuhan and one across provinces in mainland China. The populations in all studies were patients with COVID-19, and the sample size ranged from 41 to 1099 patients. With regard to the study design, retrospective and prospective methods were used, and the timeframe of all five studies covered the first two months of the COVID-19 pandemic (December 2019, January 2020). Specifically, Zhou et al. 9 studied the epidemiological characteristics of 191 individuals infected with COVID-19, without, however, reporting in more detail the mortality risk factors and the clinical outcomes of the disease. Among the 191 patients, there were 54 deaths, while 137 survived. Among those that died, 9% were current smokers compared to 4% among those that survived, with no statistically significant difference between the smoking rates of survivors and non-survivors (p=0.21) with regard to mortality from COVID-19. Similarly, Zhang et al. 10 presented clinical characteristics of 140 patients with COVID-19. The results showed that among severe patients (n=58), 3.4% were current smokers and 6.9% were former smokers, in contrast to non-severe patients (n=82) among which 0% were current smokers and 3.7% were former smokers , leading to an OR of 2.23; (95% CI: 0.65–7.63; p=0.2). Huang et al. 11 studied the epidemiological characteristics of COVID-19 among 41 patients. In this study, none of those who needed to be admitted to an ICU (n=13) was a current smoker. In contrast, three patients from the non-ICU group were current smokers, with no statistically significant difference between the two groups of patients (p=0.31), albeit the small sample size of the study. The largest study population of 1099 patients with COVID-19 was provided by Guan et al. 12 from multiple regions of mainland China. Descriptive results on the smoking status of patients were provided for the 1099 patients, of which 173 had severe symptoms, and 926 had non-severe symptoms. Among the patients with severe symptoms, 16.9% were current smokers and 5.2% were former smokers, in contrast to patients with non-severe symptoms where 11.8% were current smokers and 1.3% were former smokers. Additionally, in the group of patients that either needed mechanical ventilation, admission to an ICU or died, 25.5% were current smokers and 7.6% were former smokers. In contrast, in the group of patients that did not have these adverse outcomes, only 11.8% were current smokers and 1.6% were former smokers. No statistical analysis for evaluating the association between the severity of the disease outcome and smoking status was conducted in that study. Finally, Liu et al. 13 found among their population of 78 patients with COVID-19 that the adverse outcome group had a significantly higher proportion of patients with a history of smoking (27.3%) than the group that showed improvement or stabilization (3.0%), with this difference statistically significant at the p=0.018 level. In their multivariate logistic regression analysis, the history of smoking was a risk factor of disease progression (OR=14.28; 95% CI: 1.58–25.00; p= 0.018). We identified five studies that reported data on the smoking status of patients infected with COVID-19. Notably, in the largest study that assessed severity, there were higher percentages of current and former smokers among patients that needed ICU support, mechanical ventilation or who had died, and a higher percentage of smokers among the severe cases 12 . However, from their published data we can calculate that the smokers were 1.4 times more likely (RR=1.4, 95% CI: 0.98–2.00) to have severe symptoms of COVID-19 and approximately 2.4 times more likely to be admitted to an ICU, need mechanical ventilation or die compared to non-smokers (RR=2.4, 95% CI: 1.43–4.04). In conclusion, although further research is warranted as the weight of the evidence increases, with the limited available data, and although the above results are unadjusted for other factors that may impact disease progression, smoking is most likely associated with the negative progression and adverse outcomes of COVID-19. Table 1 Overview of the five studies included in the systematic review Title Setting Population Study design and time horizon Outcomes Smoking rates by outcome Zhou et al. 9 (2020)Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study Jinyintan Hospital and Wuhan Pulmonary Hospital, Wuhan, China All adult inpatients (aged ≥18 years) with laboratory confirmed COVID-19 (191 patients) Retrospective multicenter cohort study until 31 January 2020 Mortality 54 patients died during hospitalisation and 137 were discharged Current smokers: n=11 (6%)Non-survivors: n=5 (9%)Survivors: n=6 (4%)(p=0.20) Current smoker vs non-smokerUnivariate logistic regression(OR=2.23; 95% CI: 0.65–7.63; p=0.2) Zhang et al. 10 (2020)Clinical characteristics of 140 patients infected with SARS-CoV-2 in Wuhan, China No. 7 Hospital of Wuhan, China All hospitalised patients clinically diagnosed as ‘viral pneumonia’ based on their clinical symptoms with typical changes in chest radiology (140 patients) Retrospective 16 January to 3 February 2020 Disease Severity Non-severepatients: n=82Severe patients:n=58 Disease Severity Former smokers: n=7Severe: n=4 (6.9%)Non-severe: n=3 (3.7%) (p= 0.448) Current smokers: n=2Severe: n=2 (3.4%)Non-severe: n=0 (0%) Guan et al. 12 (2019)Clinical Characteristics of Coronavirus Disease 2019 in China 552 hospitals in 30 provinces, autonomous regions, and municipalities in mainland China Patients with laboratory-confirmed COVID-19 (1099 patients) Retrospective until 29 January 2020 Severity and admission to an ICU, the use of mechanical ventilation, or death Non-severe patients: n=926 Severe patients: n=173 By severity Severe cases16.9% current smokers5.2% former smokers77.9% never smokers Non-severe cases11.8% current smokers1.3% former smokers86.9% never smokers By mechanical ventilation, ICU or death Needed mechanical ventilation, ICU or died25.8% current smokers7.6% former smokers66.7% non-smokers No mechanical ventilation, ICU or death11.8% current smokers1.6% former smokers86.7% never smokers Huang et al. 11 (2020)Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China A hospital in Wuhan, China Laboratory-confirmed 2019-nCoV patients in Wuhan (41 patients) Prospective from 16 December 2019 to 2 January 2020 Mortality As of 22 January 2020, 28 (68%) of 41 patients were discharged and 6 (15%) patients died Current smokers: n=3ICU care: n=0Non-ICU care: n=3 (11%) Current smokers in ICU care vs non-ICU care patients (p=0.31) Liu et al. 13 (2019)Analysis of factors associated with disease outcomes in hospitalised patients with 2019 novel coronavirus disease Three tertiary hospitals in Wuhan, China Patients tested positive for COVID-19 (78 patients) Retrospective multicentre cohort study from 30 December 2019 to 15 January 2020 Disease progression 11 patients (14.1%) in the progression group 67 patients (85.9%) in the improvement/stabilization group 2 deaths Negative progression group: 27.3% smokersIn the improvement group: 3% smokers The negative progression group had a significantly higher proportion of patients with a history of smoking than the improvement/stabilisation group (27.3% vs 3.0%)Multivariate logistic regression analysis indicated that the history of smoking was a risk factor of disease progression (OR=14.28; 95% CI: 1.58–25.00; p= 0.018)
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              Meditation programs for psychological stress and well-being: a systematic review and meta-analysis.

              Many people meditate to reduce psychological stress and stress-related health problems. To counsel people appropriately, clinicians need to know what the evidence says about the health benefits of meditation. To determine the efficacy of meditation programs in improving stress-related outcomes (anxiety, depression, stress/distress, positive mood, mental health-related quality of life, attention, substance use, eating habits, sleep, pain, and weight) in diverse adult clinical populations. We identified randomized clinical trials with active controls for placebo effects through November 2012 from MEDLINE, PsycINFO, EMBASE, PsycArticles, Scopus, CINAHL, AMED, the Cochrane Library, and hand searches. Two independent reviewers screened citations and extracted data. We graded the strength of evidence using 4 domains (risk of bias, precision, directness, and consistency) and determined the magnitude and direction of effect by calculating the relative difference between groups in change from baseline. When possible, we conducted meta-analyses using standardized mean differences to obtain aggregate estimates of effect size with 95% confidence intervals. After reviewing 18 753 citations, we included 47 trials with 3515 participants. Mindfulness meditation programs had moderate evidence of improved anxiety (effect size, 0.38 [95% CI, 0.12-0.64] at 8 weeks and 0.22 [0.02-0.43] at 3-6 months), depression (0.30 [0.00-0.59] at 8 weeks and 0.23 [0.05-0.42] at 3-6 months), and pain (0.33 [0.03- 0.62]) and low evidence of improved stress/distress and mental health-related quality of life. We found low evidence of no effect or insufficient evidence of any effect of meditation programs on positive mood, attention, substance use, eating habits, sleep, and weight. We found no evidence that meditation programs were better than any active treatment (ie, drugs, exercise, and other behavioral therapies). Clinicians should be aware that meditation programs can result in small to moderate reductions of multiple negative dimensions of psychological stress. Thus, clinicians should be prepared to talk with their patients about the role that a meditation program could have in addressing psychological stress. Stronger study designs are needed to determine the effects of meditation programs in improving the positive dimensions of mental health and stress-related behavior.
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                Author and article information

                Journal
                Tob Prev Cessat
                Tob Prev Cessat
                TPC
                Tobacco Prevention & Cessation
                European Publishing on behalf of the European Network for Smoking and Tobacco Prevention (ENSP)
                2459-3087
                23 October 2020
                2020
                : 6
                : 59
                Affiliations
                [1 ]Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, London, United Kingdom
                Author notes
                CORRESPONDENCE TO Tzu H. Chen. Public Health Policy Evaluation Unit, School of Public Health, Imperial College London, St. Dunstan’s Road, London, W6 8RP, United Kingdom. E-mail: thc17@ 123456ic.ac.uk ORCID ID: https://orcid.org/0000-0001-9849-4966
                Article
                59
                10.18332/tpc/126976
                7643580
                33163705
                b6f51a11-91a3-47a0-858b-e7d82dce6fd7
                © Chen T. H.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution NonCommercial 4.0 International License.

                History
                : 10 July 2020
                : 24 August 2020
                : 27 August 2020
                Categories
                Short Report

                smoking,tobacco,mental health,psychosocial,covid-19,pandemics
                smoking, tobacco, mental health, psychosocial, covid-19, pandemics

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