| Literature DB >> 35720753 |
Susanne S Hoeppner1, Hannah A Carlon2, Christopher W Kahler3, Elyse R Park4, Audrey Darville5, Damaris J Rohsenow3, Bettina B Hoeppner2.
Abstract
Objectives: To provide initial insight into how the COVID-19 pandemic could affect smoking behaviors and cessation efforts that were underway at its onset.Entities:
Keywords: COVID-19; nondaily; positive psychology; smoking cessation; stress
Year: 2021 PMID: 35720753 PMCID: PMC8812286 DOI: 10.1089/tmr.2021.0008
Source DB: PubMed Journal: Telemed Rep ISSN: 2692-4366
Sample Characteristics
| Completed survey | No survey |
| |
|---|---|---|---|
| Mean /% (SD)/ | Mean/% (SD)/ | ||
| Demographics | |||
| Age | 36.8 (11.1) | 31.9 (11.9) | 0.09 |
| Gender (% female) | 66.7 (54) | 36.8 (7) | 0.02 |
| Race (in %) | 0.18 | ||
| White | 75.3 (61) | 73.7 (14) | |
| Black | 16.0 (13) | 5.3 (1) | |
| Other or unknown | 8.6 (7) | 21.1 (4) | |
| Hispanic (in %) | 9.9 (8) | 21.1 (4) | 0.23 |
| Education (in %) | 0.61 | ||
| High school or less | 16.0 (13) | 10.5 (2) | |
| Some college | 44.4 (36) | 57.9 (11) | |
| BA/BS or higher | 39.5 (32) | 31.6 (6) | |
| Employment (% full time) | 43.8 (35) | 42.1 (8) | |
| Region of residence within the United States (in %) | 0.10 | ||
| Northeast | 30.9 (25) | 57.9 (11) | |
| Midwest | 18.5 (25) | 5.3 (1) | |
| South | 33.3 (27) | 15.8 (3) | |
| West | 17.3 (14) | 21.1 (4) | |
| Smoking characteristics at baseline | |||
| No. of days smoked in past 30 days | 15.2 (4.2) | 12.3 (5.6) | 0.01 |
| No. of cigarettes smoked per smoking day | 4.8 (4.0) | 3.9 (2.9) | 0.32 |
| Ever smoked daily? (% yes) | 67.9 (55) | 78.9 (15) | 0.42 |
| Ever quit before? (% yes) | 72.8 (59) | 94.7 (18) | 0.07 |
| Timing of COVID-19 Survey | |||
| No. of days since COVID-19 impact | 35.4 (15.1) | ||
| No. of days since pre-COVID survey | 83.9 (28.1) | ||
| No. of months since quit attempt | 7.3 (1.4) | ||
| COVID-19 changes in living circumstances | |||
| Changes in job situation[ | |||
| None | 28.4 (23) | ||
| Work from home (full or part time) | 34.6 (28) | ||
| Overtime | 4.9 (4) | ||
| Pay cut but not total loss | 16.0 (13) | ||
| Total loss | 18.5 (15) | ||
| Changes in living situation[ | |||
| None | 75.3 (61) | ||
| Consolidated (family/friend moving in/home) | 14.8 (12) | ||
| Roommate/family moved out | 6.2 (5) | ||
| Restrictions | |||
| School closure | 54.3 (44) | ||
| Nonessential business closure | 82.7 (67) | ||
| Stay-at-home orders | 74.1 (60) | ||
| Personal contact with COVID-19[ | |||
| Infected with COVID-19 (incl. untested) | 12.3 (10) | ||
| Possibly exposed to COVID-19 | 14.8 (12) | ||
| Family/friend/acquaintance hospitalized or died | 14.8 (12) | ||
Does not sum to 100% due to unique changes (e.g., stopped volunteer work, health aide no longer comes, and house burnt down) and multiple responses (check all that apply).
SD, standard deviation.
Descriptive Statistics on the COVID-19 Impact Measure
| Since COVID-19 made a noticeable impact on my life, I have … | Mean (SD) | % Same |
|
|
|---|---|---|---|---|
| … watched, read or discussed the news. | 1.7 (1.6) | 12.3 | 0.00 | 0.26[ |
| … spent time contemplating about what I want the future to look like. | 1.6 (1.2) | 19.8 | 0.00 | 0.05 |
| … worried. | 1.5 (1.5) | 6.2 | 0.01 | 0.08 |
| … felt afraid. | 1.3 (1.5) | 12.3 | 0.05 | 0.09 |
| … felt a desire to support the greater good. | 1.3 (1.4) | 21.0 | 0.05 | 0.39[ |
| … been bored. | 1.1 (1.7) | 14.8 | 0.32 | −0.08 |
| … been distracted from the tasks in my daily life. | 1.1 (1.8) | 11.1 | 0.39 | −0.03 |
| … gone out of my way to help others. | 1.1 (1.4) | 21.0 | 0.24 | 0.43[ |
| … felt supported by the important people in my life. | 1.0 (1.7) | 24.7 | 0.46 | 0.27[ |
| … felt lonely and isolated. | 1.0 (1.5) | 23.5 | 0.51 | 0.04 |
| … felt gratitude. | 1.0 (1.7) | 22.2 | 0.51 | 0.21 |
| … felt work-related stress. | 1.0 (1.8) | 23.5 | 0.62 | 0.04 |
| … felt depressed. | 0.9 (1.8) | 28.4 | 0.90 | −0.05 |
|
|
|
|
| |
| | 1.4 (1.7) | 22.2 | — | — |
| | 0.1 (2.1) | 11.1 | — | — |
| … deliberately engaged in activities to foster my mental well-being. | 0.8 (1.4) | 25.9 | 0.96 | 0.35[ |
| … meaningfully engaged/interacted with my family. | 0.8 (1.9) | 14.8 | 0.81 | 0.34[ |
| … found that it was hard for me to pay for the very basics like food, housing, medical care, and heating. | 0.8 (1.5) | 35.8 | 0.81 | 0.19 |
| … have experienced conflict at home. | 0.7 (1.7) | 29.6 | 0.68 | −0.03 |
| … taken care of my physical well-being (exercise, sleep). | 0.5 (1.8) | 24.7 | 0.25 | 0.29[ |
| … experienced help or kindness from strangers, neighbors, or acquaintances. | 0.4 (1.4) | 30.9 | 0.11 | 0.17 |
| … eaten healthy meals. | 0.1 (1.7) | 24.7 | 0.01 | 0.29[ |
| … felt optimistic that society can change in positive ways. | 0.0 (1.9) | 19.8 | 0.00 | 0.34[ |
| … considered arming or took action to arm myself to protect myself and loved ones. | −0.1 (1.9) | 34.6 | 0.00 | 0.23[ |
| … meaningfully engaged/interacted with my friends. | −0.1 (2.1) | 14.8 | 0.00 | 0.30[ |
Bold text indicates smoking cessation item.
Underlined text marks sub-group descriptives for this item, showing the means for those who were abstinent versus those who were not, respectively.
Likert scale ranges from −3 to 3, where −3 = much less, −2 = moderately less, −1 = slightly less, 0 = same, 1 = slightly more, 2 = moderately more, and 3 = much more.
Significance of paired t-test comparing against “motivated to quit smoking/stay quit.”
Pearson's correlation between each item with “motivated to quit smoking/stay quit.”
p < 0.05, **p < 0.01.
Within-Person Differences Pre- and Post-COVID-19 Onset
| Pre-COVID survey[ | Pre-COVID survey[ | COVID-19 survey ( | Pre–post effects for binary outcomes[ | Pre–post effects for continuous outcomes[ | Pre–post tests | |
|---|---|---|---|---|---|---|
| Mean/% (SD/ | Mean/% (SD/ | Mean/% (SD/ | OR [95% CL] |
| ||
| Smoking | ||||||
| 30-Day self-reported abstinence (in %) | 55.0 (55) | 59.3 (48) | 55.6 (45) | 0.92 [0.63 to 1.33] | 0.65 | |
| If not abstinent, recent cigarette use | ||||||
| No. of days smoked (past 30 days)[ | 15.4 (10.9) | 15.2 (11.0) | 15.2 (12.3) | −0.11 [−4.21 to 3.99] | 0.96 | |
| No. cigs per smoking day (past 30 days)[ | 4.6 (5.7) | 4.8 (6.3) | 4.6 (5.3) | −0.04 [−1.78 to 1.70] | 0.96 | |
| Readiness to quit (% postcontemplation)[ | 86.0 (86) | 90.1 (73) | 81.5 (66) | 0.65 [0.35 to 1.20] | 0.16 | |
| Mental health | ||||||
| PSS—stress | 1.8 (1.0) | 1.7 (1.0) | 2.2 (1.0) | 0.46 [0.28 to 0.64] | <0.0001 | |
| PSS—coping | 2.5 (0.9) | 2.6 (0.9) | 2.3 (0.9) | −0.30 [−0.50 to −0.10] | 0.0042 | |
| PANAS—positive affect | 3.4 (0.9) | 3.5 (0.8) | 2.9 (1.0) | −0.59 [−0.80 to −0.37] | <0.0001 | |
| PANAS—negative affect | 2.0 (1.0) | 1.9 (1.0) | 2.7 (1.1) | 0.68 [0.47 to 0.88] | <0.0001 | |
| Other substance use | ||||||
| Alcohol use (past 30 days) | ||||||
| Any drinking (%) | 34.0 (34) | 34.6 (28) | 29.1 (23) | 0.82 [0.53 to 1.26] | 0.35 | |
| Exceeded NIAAA drinking guidelines (%) | 27.0 (27) | 25.9 (21) | 11.4 (9) | 0.40 [0.22 to 0.71] | 0.0018 | |
| Engaged in heavy drinking (%) | 24.0 (24) | 22.2 (18) | 10.1 (8) | 0.38 [0.19 to 0.76] | 0.0061 | |
| E-cigarette use | ||||||
| Ever (in %) | 39.0 (39) | 38.3 (31) | 49.4 (39) | 1.55 [1.02 to 2.36] | 0.0417 | |
| Current (in %) | 11.0 (11) | 9.9 (8) | 12.7 (10) | 1.23 [0.70 to 2.14] | 0.47 | |
The most recent survey before the experience of COVID-19 impact in daily life (March 12, 2020 or participant named date, whichever was sooner) was used, which could be either the 6-month (51%) or 3-month (47%) or 6-week (2%) surveys.
GEE analysis and linear mixed effects models were used for longitudinal analyses, where TIME (0 = pre, 1 = post) was the independent variable of interest.
Among participants reporting nonabstinence at the pre-COVID survey only (n = 45).
Based on stages of change, contrasting preparation, action, and maintenance versus precontemplation and contemplation.
CL, confidence interval; GEE, generalized estimating equation; NIAAA, National Institute on Alcohol Abuse and Alcoholism; PANAS, Positive and Negative Affect Scale; PSS,Perceived Stress Scale.