Smoking and associated unhealthy lifestyle behaviours in patients with chronic cardiac diseases during COVID-19 related lockdown.
Eur J Prev Cardiol 2021. [PMCID:
PMC8136031 DOI:
10.1093/eurjpc/zwab061.293]
[Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/13/2022]
Abstract
Funding Acknowledgements
Type of funding sources: Public hospital(s). Main funding source(s): Dijon University Hospital France
OnBehalf
CLEO-CD
Background
Lockdown can affect tobacco smoking (TS) behaviours.
Purpose
To evaluate the impact of lockdown on (TS) and associated lifestyle behaviours in patients with Chronic coronary syndrome (CCS) and congestive heart failure (CHF)
Methods
CCS and CHF patients were invited to answer to a phone-call questionnaire during the 1st COVID-19 lockdown start
Results
(Table) 343 questionnaires were fit for analysis, 43 (12.5%) were current smokers (CS). CS were younger (p < 0.001), none stopped and 13 increased their consumption (main reasons were stress and boredom). CS felt more often cramped (p = 0.023). CS who increased their TS consumption showed a trend toward a higher rate of unhealthy lifestyle behaviours
Conclusions
During the lockdown, more than ¼ of CS with CCS or CHF increased their TS consumption and none quitted. Moreover, TS was often associated with other deleterious behaviours increasing their risk for short and long term
Main results
| Total | Non-Smokers | Smokers | p* |
---|
N(%) | 344 | 301 | 43 | |
Age, years | 67.7 ± 12.8 | 69.2 ± 12.2 | 57.2 ± 12.1 | <0.001 |
Men/Women | 229/115 | 197/104 | 32/11 | 0.300 |
CCS/CHF | 220/124 | 185/116 | 36/7 | 0.004 |
Urban/Rural | 163/181 | 137/164 | 26/17 | 0.073 |
Living alone at home | 83(24.3) | 68(22.7) | 15(34.9) | 0.089 |
COVID screening (PCR) | 11(3.2) | 7(2.3) | 4(9.3) | 0.037 |
Feeling cramped | 19(5.5) | 13(4.4) | 6(14.0) | 0.023 |
Feeling less well | 75(21.9) | 65(21.7) | 10(23.8) | 0.842 |
K6 ≥ 5 | 81(23.7) | 70(23.5) | 11(25.6) | 0.845 |
Physical activity decrease | 146(42.6) | 125(42.1) | 21(48.8) | 0.323 |
Screen time increase | 154(45.0) | 130(43.5) | 24(55.8) | 0.100 |
Alcohol consumption increase | 14(5.5) | 11(4.9) | 3(7.5) | 0.419 |
Sleep change | 83(24.6) | 68(22.5) | 15(39.5) | 0.083 |
Weight increase | 77(22.4) | 64(21.3) | 13(30.2) | 0.242 |
Smokers (n = 43) | Smoking increase | No smoking increase | p** |
Feeling less well | 5(38.5) | 5(17.2) | 0.238 |
Screen time increase | 10(76.9) | 14(46.7) | 0.104 |
Weight increase | 6(46.2) | 7(23.3) | 0.173 |
n(%) or mean ± SD. *p value: Smokers vs non smokers.
**p value: Smoking increase vs no smoking increase
Collapse