| Literature DB >> 29130421 |
Kathryn R Koller1, Christie A Flanagan1, Gretchen E Day1, Christi Patten2, Jason G Umans3,4, Melissa A Austin5, Scarlett E Hopkins6, Cheryl Raindl7, Bert B Boyer6.
Abstract
Tobacco use prevalence among Alaska Native (AN) people living in Alaska is greater than the general population prevalence statewide and nationally. Better understanding of regional tobacco use is needed to improve cessation efforts and reduce prevalence. Using self-reported baseline data from the Western Alaska Tribal Collaborative for Health study, we describe tobacco use patterns among AN people in two western Alaska regions. Data were stratified by age group and sex. Dual- and multi-product use in the Yukon-Kuskokwim (Y-K) region was stratified by concurrent vs sequential use. Overall, 87% of the cohort reported having used tobacco. In Norton Sound, cigarette (98%) was the predominant tobacco type. In Y-K 71% smoked, 76% used smokeless tobacco (ST), with 47% reporting use of both products. ST use in Y-K consisted of commercial ST and homemade iqmik. Y-K women reported more ST product use, while men reported more cigarette use. Among dual- and multi-product users, the majority reported concurrent use, with no significant differences between men and women. Distinct regional differences include high smoking prevalence in Norton Sound and frequent use of smoking and ST products in Y-K. Findings support modification of cessation programmes to address regional variations in tobacco use patterns.Entities:
Keywords: Alaska Native; Cigarettes; smokeless tobacco; tobacco use patterns
Mesh:
Year: 2017 PMID: 29130421 PMCID: PMC5700538 DOI: 10.1080/22423982.2017.1398009
Source DB: PubMed Journal: Int J Circumpolar Health ISSN: 1239-9736 Impact factor: 1.228
Baseline characteristics and tobacco use among Alaska Native adults living in Norton Sound and Yukon-Kuskokwim delta regions.
| Baseline characteristics/tobacco use | Norton | Yukon- | Total WATCH | p-value | |
|---|---|---|---|---|---|
| Sample size, n (%) | |||||
| Total | 1,318 (33) | 2,614 (67) | <0.001 | 3,932 (100) | |
| Men | 596 (45) | 1,230 (47) | 0.276 | 1,826 (46) | <0.001 |
| Women | 722 (55) | 1,384 (53) | 2,106 (54) | ||
| Age, median years (range) | |||||
| Overall | 41 (18–95) | 37 (18–94) | <0.001 | 38 (18–95) | |
| Men | 40 (18–88) | 36 (18–86) | <0.001 | 37 (18–88) | <0.001 |
| Women | 42 (18–95) | 38 (18–94) | 0.015 | 39 (18–95) | |
| Education, mean years (SD)* | |||||
| Overall | 11.7 (±2.3) | 9.8 (±3.1) | <0.001 | 10.6 (±2.9) | |
| Men | 11.8 (±2.0) | 9.9 (±3.0) | <0.001 | 10.7 (±2.8) | 0.134 |
| Women | 11.6 (±2.6) | 9.7 (±3.2) | <0.001 | 10.5 (±3.1) | |
| Ever used tobacco, n (% sample) | |||||
| Overall | 1,084 (82) | 2,330 (89) | <0.001 | 3,414 (87) | |
| Men | 510 (86) | 1,134 (92) | <0.001 | 1,644 (90) | <0.001 |
| Women | 574 (80) | 1,196 (86) | <0.001 | 1,770 (84) | |
| Ever smoked, | |||||
| Overall | 1,058 (98) | 1,646 (71) | <0.001 | 2,704 (79) | |
| Men | 489 (96) | 965 (85) | 0.074 | 1,454 (88) | <0.001 |
| Women | 569 (99) | 681 (57) | <0.001 | 1,250 (71) | |
| Current smokers, n (% ever smoked) | |||||
| Overall | 801 (76) | 833 (51) | <0.001 | 1,634 (60) | |
| Men | 377 (77) | 530 (55) | <0.001 | 907 (62) | 0.025 |
| Women | 424 (75) | 303 (45) | <0.001 | 727 (58) | |
| Former smokers, | |||||
| Overall | 257 (24) | 813 (49) | <0.001 | 1070 (40) | |
| Men | 112 (23) | 435 (45) | <0.001 | 547 (38) | 0.025 |
| Women | 145 (26) | 378 (56) | <0.001 | 523 (42) | |
| Ever used ST, n (% ever used tobacco) | |||||
| Overall | 93 (9) | 1,777 (76) | <0.001 | 1,870 (55) | |
| Men | 72 (14) | 778 (69) | <0.001 | 850 (52) | 0.238 |
| Women | 21 (4) | 999 (84) | <0.001 | 1020 (58) | |
| Ever smoked and used ST, n (% ever used tobacco) | |||||
| Overall | 67 (6) | 1093 (47) | <0.001 | 1160 (34) | |
| Men | 51 (10) | 609 (54) | <0.001 | 660 (40) | <0.001 |
| Women | 16 (3) | 484 (41) | <0.001 | 500 (28) | |
n, number; SD, standard deviation; ST, smokeless tobacco; smoked or smokers=cigarette users; significance at p<0.05.
*Years of education were obtained from 2,717 of 3,932 (69%) of total sample reporting tobacco use status; 1,152 of 1,318 (87%) in Norton Sound and 1,565 of 2,614 (60%) in Yukon-Kuskokwim.
Among those who ever used tobacco, results are broken down further for ever smokers, ever ST users and ever dual users (smoked and used ST). Among ever smokers, results are broken down further for current and former smokers.
Figure 1.Differences in tobacco types used by 1,081 men and 1,157 women in the Yukon-Kuskokwim region.
Note: Total n=2,238 ever tobacco users (96% of Y-K sample reporting ever tobacco use).
Type tobacco first used by Alaska Native dual- and multi-product tobacco users in the Yukon-Kuskokwim (Y-K) region.
| First product used in 701 Y-K dual- & multi-product users | |||||
|---|---|---|---|---|---|
| Product used | Sample, n | Cigs, n (%) | Com ST, n (%) | Iqmik, n (%) | Simultaneous starters, n (%) |
| Cigarettes and Iq’mik | |||||
| Overall | 303 | 76 (25) | — | 192 (63) | 35 (12) |
| Men | 151 | 46 (31) | — | 85 (56) | 20 (13) |
| Women | 152 | 30 (20) | — | 107 (70) | 15 (10) |
| Cigarettes and commercial ST | |||||
| Overall | 150 | 40 (27) | 92 (61) | — | 18 (12) |
| Men | 90 | 31 (34) | 51 (57) | — | 8 (9) |
| Women | 60 | 9 (15) | 41 (68) | — | 10 (17) |
| Commercial ST and Iqmik | |||||
| Overall | 248 | — | 127 (51) | 15 (6) | 106 (43) |
| Men | 53 | — | 31 (59) | 3 (6) | 19 (36) |
| Women | 195 | — | 96 (49) | 12 (6) | 87 (45) |
| Cigarettes, commercial ST and Iq’mik | |||||
| Overall | 270 | 60 (22) | 74 (27) | 31 (12) | 105 (39) |
| Men | 154 | 39 (25) | 40 (26) | 15 (10) | 60 (39) |
| Women | 116 | 21 (18) | 34 (29) | 16 (14) | 45 (39) |
%=number (overall, men and women) identifying the first tobacco product used divided by the total (overall, men and women) in that product use group.
Concurrent vs sequential use by Alaska Native dual- and multi-product tobacco users in the Yukon-Kuskokwim (Y-K) region.
| Concurrent vs sequential use in 993 Y-K dual- & multi-product users | ||||
|---|---|---|---|---|
| Use group | Sample, n | Sequential use, n (%) | Concurrent use, n (%) | p-value (sex) |
| Dual-product use | ||||
| Overall | 722 | 281 (39) | 441 (61) | |
| Men | 397 | 149 (38) | 248 (63) | 0.398 |
| Women | 325 | 132 (41) | 193 (59) | |
| Multi-product use | ||||
| Overall | 271 | 73 (27) | 198 (73) | |
| Men | 155 | 42 (27) | 113 (73) | 0.946 |
| Women | 116 | 31 (27) | 85 (73) | |
%=number (overall, men and women) identifying the first tobacco product used divided by the total (overall, men and women) in that product use group. This table examines men and women who were dual and multi-tobacco product users and whether their use of more than one product was sequential or concurrent.
Associations between socio-demographic factors and concurrent cigarette and ST use among adults in the Yukon-Kuskokwim (Y-K) region.
| Factor | OR (95% CI) | p-value |
|---|---|---|
| Model 1 (n=1,065) | ||
| Sex (Referent: Male) | 0.26 (0.20–0.35) | <0.001 |
| Age (Linear) | 0.96 (0.95–0.97) | <0.001 |
| Model 2 (n=934) | ||
| Sex (Referent: Male) | 1.49 (1.14–1.95) | <0.001 |
| Age (Linear) | 0.98 (0.97–0.99) | 0.004 |
OR, odds ratio; CI, confidence interval; significance = p-value<0.05. This table provides a comparison between dual and mono tobacco product users. The results show that women are far less likely than men (0.26; p<0.001) to use two products (cigarettes and ST) as compared to just ST. However, when comparing dual use to just cigarette smoking, women are more likely than men (1.49; p<0.001) to use both cigarettes and ST.