| Literature DB >> 20507920 |
Quan Gan1, Wei Lu, Jiying Xu, Xinjian Li, Maciej Goniewicz, Neal L Benowitz, Stanton A Glantz.
Abstract
BACKGROUND: Low-tar cigarette smoking is gaining popularity in China. The China National Tobacco Corporation (CNTC) promotes low-tar cigarettes as safer than regular cigarettes.Entities:
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Year: 2010 PMID: 20507920 PMCID: PMC2978929 DOI: 10.1136/tc.2009.033092
Source DB: PubMed Journal: Tob Control ISSN: 0964-4563 Impact factor: 7.552
Figure 1Average machine-measured tar content of cigarettes in the Chinese market has declined over 25 years (adapted from Lei et al12).
Figure 2A 2007 magazine advertisement of one of the leading low-tar cigarette brands in China ‘Zhongnanhai’. The print at the bottom of the figure reads: ‘A little lower means more loving care! Low-harm cigarettes give you more loving care! Cigarettes contain conflicting elements of pleasure and harm. Zhongnanhai has always focused on research and development of low-harm cigarette technology. Every product fuses the world's most advanced low-harm cigarette technology, offering a guarantee of health for your smoking life’. (Photo courtesy of Susan Lawrence of the Tobacco Free Kids China Office.)
Metabolites of nicotine and carcinogen levels by nominal tar ratings
| Nominal tar rating (per cigarette) | 15 mg | 13 mg | 12 mg | 10 mg | 8 mg | rS | p Value |
| Sample size | 175 | 43 | 74 | 51 | 165 | ||
| Age in years, mean (SD) | 44.5 (8.9) | 46.9 (8.1) | 42.2 (8.1) | 43.3 (10.5) | 43.3 (9.5) | 0.075 | 0.089 |
| Education, N (%) | −0.063 | 0.154 | |||||
| Junior high school and below | 52 (30%) | 26 (60%) | 19 (26%) | 19 (37%) | 42 (25%) | ||
| Secondary technical school | 93 (53%) | 13 (30%) | 37 (50%) | 27 (53%) | 86 (52%) | ||
| Junior college | 21 (12%) | 4 (9%) | 11 (15%) | 4 (8%) | 27 (16%) | ||
| College and above | 9 (5%) | 0 (0%) | 7 (9%) | 1 (2%) | 10 (6%) | ||
| Employment status, N (%) | 0.022 | 0.617 | |||||
| Employed | 164 (94%) | 38 (88%) | 69 (93%) | 45 (88%) | 152 (92%) | ||
| Unemployed | 11 (6%) | 5 (12%) | 5 (7%) | 6 (12%) | 13 (8%) | ||
| Monthly income, N (%) | 0.039 | 0.373 | |||||
| <500 yuan | 7 (4%) | 5 (12%) | 4 (5%) | 5 (10%) | 8 (5%) | ||
| 500–999 yuan | 1 (1%) | 3 (7%) | 0 (0%) | 1 (2%) | 6 (4%) | ||
| 1000–1999 yuan | 30 (17%) | 18 (42%) | 9 (12%) | 5 (10%) | 32 (19%) | ||
| 2000–4999 yuan | 107 (61%) | 16 (37%) | 47 (64%) | 32 (63%) | 100 (61%) | ||
| ≥5000 yuan | 30 (17%) | 1 (2%) | 14 (19%) | 8 (16%) | 19 (12%) | ||
| Change in daily consumption after switching from regular cigarettes (15 mg) to cigarettes with lower disclosed tar ratings | −0.052 | 0.398 | |||||
| Decreased daily consumption | 11% | 14% | 14% | 13% | |||
| No change in daily consumption | 56% | 64% | 57% | 52% | |||
| Increased daily consumption | 33% | 21% | 28% | 34% | |||
| Cigarettes/day | 20 (10–20) | 18 (10–20) | 11 (10–20) | 20 (10–20) | 15 (10–20) | 0.152 | 0.001 |
| Cotinine (μg/mg creatinine) | 16.1 (8.9–27.0) | 14.4 (7.2–32.7) | 12.8 (7.1–20.4) | 14.9 (7.6–28.0) | 16.1 (8.2–25.4) | 0.012 | 0.654 |
| Cotinine/cigarette (μg/mg creatinine) | 0.84 (0.56–1.50) | 0.93 (0.56–2.12) | 0.91 (0.60–1.66) | 0.71 (0.42–1.75) | 1.00 (0.56–1.85) | −0.068 | 0.123 |
| Trans-3′-hydroxycotinine (μg/mg creatinine) | 33.3 (16.4–63.4) | 37.2 (19.3–74.4) | 25.8 (10.9–48.0) | 31.9 (19.2–64.9) | 38.0 (16.9–62.6) | 0.001 | 0.974 |
| Trans-3′-hydroxycotinine/cigarette (μg/mg creatinine) | 2.02 (0.92–3.36) | 1.99 (1.00–4.51) | 2.04 (0.76–4.14) | 2.02 (1.06–3.51) | 2.39 (1.26–4.11) | −0.071 | 0.109 |
| Sample size | 60 | 14 | 28 | 18 | 56 | ||
| Total PAHs (pmol/mg creatinine) | 153 (95–195) | 159 (113–206) | 142 (94–177) | 152 (105–224) | 121 (88–166) | 0.125 | 0.099 |
| Total PAHs/cigarette (pmol/mg creatinine) | 8.46 (5.31–13.22) | 8.33 (6.99–16.08) | 9.66 (6.99–14.30) | 10.4 (5.36–16.42) | 6.72 (4.40–10.98) | 0.109 | 0.149 |
| NNAL (pmol/mg creatinine) | 0.22 (0.16–0.37) | 0.35 (0.22–0.41) | 0.26 (0.20–0.36) | 0.33 (0.22–0.45) | 0.292 (0.190–0.479) | −0.148 | 0.050 |
| NNAL/cigarette (pmol/mg creatinine) | 0.0160 (0.00918–0.0220) | 0.0217 (0.0118–0.0402) | 0.0212 (0.0121–0.0406) | 0.0198 (0.0146–0.0352) | 0.0200 (0.0111–0.0324) | −0.146 | 0.053 |
The tabulated results in this table do not include three participants who smoked 5 mg tar cigarettes, one who smoked 9 mg cigarettes, three who smoked 11 mg cigarettes and one who smoked 14 mg tar cigarettes because of small numbers. These data are, however, included in the calculation of the Spearman rank order correlations and associated p values.
These are bivariate p values; there was no adjustment for any demographic variables.
Median (IQR).
NNAL, 4-(methylnitrosamino)-1-(3-pyridyl)-butanol; PAH, polycyclic aromatic hydrocarbon metabolites.
Figure 3There is no significant correlation between the levels of cotinine (rs=0.012, p=0.782) or trans-3′-hydroxycotinine (rs=0.001, p=0.974) and the nominal tar yield of the main current brand.
Figure 4There is no significant correlation between level of polycyclic aromatic hydrocarbon metabolites (PAHs) (rs=0.109, p=0.149) and the nominal tar level on cigarette packs. The relationship between level of 4-(methylnitrosamino)-1-(3-pyridyl)-butanol (NNAL) and the disclosed tar reading is significant (rs=-0.148, p=0.050) and smokers of cigarettes with lower levels of disclosed tar reading have higher levels of NNALs in their urine.