| Literature DB >> 34693078 |
Bijaya Nanda Naik1, Bijit Biswas1, Chandramani Singh1, Sanjay Pandey1, Santosh Kumar Nirala1, Neha Chaudhary1.
Abstract
BACKGROUND: Healthcare professionals (HCPs) have a definite role in tobacco control and can help immensely by setting examples. The current study aimed to study the tobacco use pattern and quitting behaviour among HCPs of India during the COVID-19 pandemic.Entities:
Keywords: COVID-19; Health personnel; Tobacco use; Tobacco use cessation; Tobacco use disorder
Year: 2021 PMID: 34693078 PMCID: PMC8519579 DOI: 10.1016/j.cegh.2021.100838
Source DB: PubMed Journal: Clin Epidemiol Glob Health ISSN: 2213-3984
Distribution of the study participants as per their responses of Fagerstrom nicotine dependence scale: n = 116.
| Variables | N (%) | Score |
|---|---|---|
| Within 5 min | 19 (20.9) | 3 |
| 5–30 min | 22 (24.2) | 2 |
| 31–60 min | 50 (54.9) | 1 |
| Yes | 37 (40.7) | 1 |
| No | 54 (59.3) | 0 |
| The first one in the morning | 32 (35.2) | 1 |
| All others | 59 (64.8) | 0 |
| 10 or less | 70 (76.9) | 0 |
| 11–20 | 15 (16.5) | 1 |
| 21–30 | 6 (6.6) | 2 |
| 31 or more | 0 (0.0) | 3 |
| Yes | 32 (35.2) | 1 |
| No | 59 (64.8) | 0 |
| Yes | 45 (49.5) | 1 |
| No | 46 (50.5) | 0 |
| Within 5 min | 4 (16.0) | 3 |
| 6–30 min | 5 (20.0) | 2 |
| 31–60 min | 6 (24.0) | 1 |
| After 60 min | 10 (40.0) | 0 |
| Always | 6 (24.0) | 2 |
| Sometimes | 14 (56.0) | 1 |
| Never | 5 (20.0) | 0 |
| The first one in the morning | 11 (44.0) | 1 |
| All others | 14 (56.0) | 0 |
| More than 3 | 7 (28.0) | 2 |
| 2–3 | 10 (40.0) | 1 |
| 1 | 8 (32.0) | 0 |
| Yes | 15 (60.0) | 1 |
| No | 10 (40.0) | 0 |
| Yes | 19 (76.0) | 1 |
| No | 6 (24.0) | 0 |
Fig. 1Map of India showing distribution of the study subjects as per their present residing state or union territory.
Fig. 2Map of India showing distribution of the proportion of the study subjects using tobacco products daily as per their present residing state or union territory.
Background characteristics of the study participants: n = 116.
| N (%) | |
|---|---|
| <30 | 56 (48.3) |
| 30–39 | 38 (32.8) |
| 40–49 | 15 (12.9) |
| ≥50 | 7 (6.0) |
| Male | 106 (91.4) |
| Female | 10 (8.6) |
| Doctor | 104 (89.7) |
| Nurse | 12 (10.3) |
| Modern medicine | 101 (87.1) |
| Nursing | 12 (10.3) |
| Dental | 1 (0.9) |
| AYUSH* | 2 (1.7) |
| Currently married and staying with spouse | 44 (37.9) |
| Currently married but not staying with spouse | 12 (10.3) |
| Currently unmarried | 58 (50.0) |
| Divorced/Separated | 2 (1.7) |
| Children aged <10 years | 43 (37.1) |
| Elderly aged ≥60 years | 42 (36.2) |
| Persons with chronic disease (i.e., HTN†, DM‡) | 40 (34.5) |
| Not Applicable | 46 (39.7) |
*Ayurveda, Yoga & Naturopathy, Unani, Siddha and Homoeopathy.
†hypertension.
‡diabetes mellitus.
Practices and perceptions related to tobacco use in context of COVID-19 among the study participants: n = 116.
| N (%) | |
| Cigarette | 94 (81.0) |
| Bidi | 5 (4.3) |
| Gutka | 22 (19.0) |
| Khaini | 7 (6.0) |
| Zarda | 8 (6.9) |
| Others | 2 (1.7) |
| Smoking | 91 (78.4) |
| Smokeless | 25 (21.6) |
| Low to moderate | 87 (75.0) |
| Moderate to high | 29 (25.0) |
| With friends or colleagues | 42 (36.2) |
| Alone | 74 (63.8) |
| 83 (71.6) | |
| 58 (50.0) | |
| 58 (50.0) | |
| 80 (69.0) | |
| Only smoking | 61 (52.6) |
| Only Smokeless tobacco | 9 (7.8) |
| Both smoking and smokeless tobacco | 31 (26.7) |
| None | 15 (12.9) |
| 60 (51.7) | |
| 42 (36.2) |
*Corona Virus Disease.
Fig. 3Bar chart showing distribution of the study subjects as per effect of COVID-19 pandemic on their tobacco consumption behaviour: (multiple response).
Univariate and multivariable logistic regression analysis showing predictors of reduced tobacco use and quit attempt during the COVID-19 pandemic among the healthcare professionals: n = 116.
| Reduced tobacco Use; Yes = 70 (60.3%) | Made tobacco quit attempt; Yes = 58 (50.0%) | |||||
|---|---|---|---|---|---|---|
| N (%) | COR† (95%CI‡) | AOR§ (95%CI‡) | N (%) | COR† (95%CI‡) | AOR§ (95%CI‡) | |
| 40 (71.4) | 3.4 (0.8–14.1) | 27 (48.2) | 0.9 (0.4–1.8) | – | ||
| 9 (90.0) | 6.6 (0.8–54.3) | – | 3 (30.0) | 0.4 (0.1–1.6) | – | |
| 63 (60.6) | 1.1 (0.3–3.7) | – | 53 (51.0) | 1.4 (0.4–4.9) | – | |
| Married and staying with partner | 23 (52.3) | 0.2 (0.0–1.3) | 23 (52.3) | 1.2 (0.6–2.7) | – | |
| Married and not staying with partner | 4 (33.3) | 0.4 (0.1–2.8) | 7 (58.3) | 1.6 (0.5–5.6) | – | |
| Unmarried/divorced/separated | 43 (71.7) | Ref. | Ref. | 28 (46.7) | Ref. | |
| 50 (71.4) | 41 (58.6) | 1.0 (0.4–2.8) | ||||
| Smokeless | 16 (64.0) | 1.2 (0.5–3.0) | – | 18 (72.0) | 2.9 (0.9–8.9) | |
| Smoking | 54 (59.3) | Ref. | 40 (44.0) | Ref. | Ref. | |
| With friends or colleagues | 28 (66.7) | 1.5 (0.7–3.3) | – | 23 (54.8) | 1.3 (0.6–2.9) | – |
| Alone | 42 (56.8) | Ref. | 35 (47.3) | Ref. | ||
| Low to moderate | 59 (67.8) | 3.4 (0.9–12.2) | 49 (56.3) | 3.0 (0.9–9.5) | ||
| Moderate to high | 11 (37.9) | Ref. | Ref. | 9 (31.0) | Ref. | Ref. |
| 62 (74.7) | – | – | – | |||
| – | – | – | 46 (65.7) | |||
| 45 (77.6) | 3.1 (0.8–12.5) | 34 (56.8) | 2.0 (0.9–4.2) | – | ||
| 53 (66.3) | 2.2 (0.9–4.9) | – | 37 (46.3) | 0.6 (0.3–1.4) | – | |
| Smoking | 44 (72.1) | 3.2 (0.7–14.2) | 30 (49.2) | 1.7 (0.5–5.7) | ||
| Both smoking and smokeless | 19 (61.3) | 0.3 (0.1–2.1) | 22 (71.0) | |||
| Others | 7 (29.2) | Ref. | Ref. | 6 (25.0) | Ref. | Ref. |
| 39 (65.0) | 1.5 (0.7–3.2) | – | 32 (53.3) | 1.3 (0.6–2.7) | – | |
| 34 (81.0) | 26 (61.9) | 2.1 (0.9–4.6) | – | |||
| Negelkerke R2: | – | – | .622 | – | – | .358 |
| Hosmer Lemeshow test p-value: | – | – | 0.07 | – | – | 0.33 |
| Predictive accuracy rate (PAR): | – | – | 84.5 | – | – | 73.3 |
*Corona Virus Disease.
†crude odds ratio.
‡confidence interval.
§adjusted odds ratio.