| Literature DB >> 31217191 |
Steven J Hoffman1,2,3,4, Mathieu J P Poirier5,3,6, Susan Rogers Van Katwyk5,4, Prativa Baral5, Lathika Sritharan5.
Abstract
OBJECTIVE: To evaluate the impact of the WHO Framework Convention on Tobacco Control (FCTC) on global cigarette consumption.Entities:
Mesh:
Year: 2019 PMID: 31217191 PMCID: PMC6582266 DOI: 10.1136/bmj.l2287
Source DB: PubMed Journal: BMJ ISSN: 0959-8138
Fig 1Timeline of major events in the creation, negotiation, adoption, and ratification of the WHO Framework Convention on Tobacco Control (FCTC)
WHO’s MPOWER policy package and representative studies that have shown the effectiveness of each tobacco control policy at the national level7 8 9 10 11 12 13 14 16 17 18 19 20 21
| MPOWER policy and description | Studies evaluating at national level (first author and year) |
|---|---|
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| |
| Obtain nationally representative and population based periodic data on key indicators of tobacco use for youth and adults | Chung-Hall (2018); Katanoda (2014); Singh (2012) |
|
| |
| Enact and enforce smoke free environments in healthcare and educational facilities as well as in all indoor public places including workplaces, restaurants and bars | Chung-Hall (2018); Gravely (2017); Katanoda (2014); Lunze (2012); Lv (2011); Martínez (2013); Sebrié (2012); Singh (2012); Thrasher (2008); Uang (2015) |
|
| |
| Strengthen health systems so they can make tobacco cessation advice available as part of primary health care. Support quit lines and other community initiatives in conjunction with easily accessible, low cost pharmacological treatment where appropriate | Chung-Hall (2018); Gravely (2017); Katanoda (2014); Lunze (2012); Singh (2012) |
|
| |
| Require effective package warning labels | Chung-Hall (2018); Gravely (2017); Katanoda (2014); Lv (2011); Mir (2013); Singh (2012); Hiilamo (2015) |
| Implement counter-tobacco advertising | Chung-Hall et al. (2018); Hiilamo and Glantz (2017) |
| Obtain free media coverage of anti-tobacco activities | Chung-Hall (2018) |
|
| |
| Enact and enforce effective legislation that comprehensively bans any form of direct tobacco advertising, promotion, and sponsorship | Gravely (2017); Katanoda (2014); Lv (2011); Singh (2012) |
| Enact and enforce effective legislation to ban indirect tobacco advertising, promotion, and sponsorship | Gravely (2017); Katanoda (2014); Singh (2012) |
|
| |
| Increase tax rates for tobacco products and ensure that they are adjusted periodically to keep pace with inflation and rise faster than consumer purchasing power | Chaloupka (2012); Chung-Hall (2018); Gravely (2017); Katanoda (2014); Lunze (2012); Singh (2012) |
| Strengthen tax administration to reduce the illicit trade in tobacco products | Chaloupka (2012); Chung-Hall (2018) |
Fig 2Logic model for conceptualising the impact of the WHO Framework Convention on Tobacco Control (FCTC) on tobacco consumption
Fig 3Annual population weighted data on cigarette consumption per capita, by country income level, UN region, and OECD membership status. Consumption based on number of cigarettes consumed per adult aged 15 years or older per year. FCTC=WHO Framework Convention on Tobacco Control, adopted in May 2003
Fig 4Interrupted time series plot of annual change in cigarette consumption per capita, with 95% confidence intervals, before and after 2003 adoption of the WHO Framework Convention on Tobacco Control (FCTC). Cigarette consumption data are based on first differencing (that is, use of year-over-year change in tobacco consumption as the unit of analysis rather than consumption itself) and weighted by global population. Consumption based on units of cigarettes consumed per adult aged 15 years or older per year
Results from interrupted time series analysis, with 2003 cutoff date for various subgroups
| Coefficient, standard error, 95% CI | Obs¶ | ||||
|---|---|---|---|---|---|
| Underlying linear time trend | Level change at 2003* | Trend change starting 2003* | Constant | ||
| All countries (n=71) | −1.67§, 0.42, −2.53 to −0.82 | 24.06†, 12.38, −0.95 to 49.08 | 1.73, 2.43, −3.18 to 6.65 | 22.48§, 7.567, 7.19 to 37.77 | 44 |
| Income level | |||||
| High income (n=30) | −1.57, 0.96, −3.51 to 0.37 | −22.68, 22.01, −67.16 to 21.81 | 0.31, 2.00, −3.72 to 4.35 | 14.74, 15.78, −17.16 to 46.65 | 44 |
| Upper middle income (n=23) | −2.43‡, 0.99, −4.43 to −0.43 | 45.35‡, 18.79, 7.36 to 83.33 | 2.61, 3.06, −3.57 to 8.79 | 53.06‡, 21.86, 8.88 to 97.25 | 44 |
| Lower middle income (n=13) | −0.12, 0.41, −0.96 to 0.72 | 10.19, 10.39, −10.85 to 31.23 | −1.17, 1.09, −3.37 to 1.03 | 4.716, 7.059, −9.57 to 19.01 | 42 |
| Low and middle income (n=41) | −1.63§, 0.58, −2.79 to −0.46 | 32.01‡, 14.88, 1.93 to 62.07 | 1.45, 3.51, −5.63 to 8.54 | 33.16‡, 13.24, 6.40 to 59.92 | 44 |
| UN regions | |||||
| Africa (n=7) | −2.91§, 0.89, −4.72 to −1.11 | 43.51†, 25.72, −8.48 to 95.50 | 2.43, 3.79, −5.23 to 10.10 | 42.73†, 22.14, −2.00 to 87.47 | 44 |
| Americas (n=9) | −2.40†, 1.20, −4.82 to 0.02 | 19.27, 21.14, −23.45 to 61.99 | 4.24‡, 1.98, 0.24 to 8.24 | −0.727, 24.62, −50.48 to 49.03 | 44 |
| Asia (n=24) | −1.86§, 0.58, −3.03 to −0.69 | 36.19§, 12.24, 11.46 to 60.92 | 1.28, 2.01, −2.79 to 5.34 | 38.60§, 13.28, 11.76 to 65.45 | 44 |
| Europe (n=30) | 0.11, 1.44, −2.79 to 3.02 | −19.25, 38.43, −96.91 to 58.42 | −8.72§, 2.99, −14.75 to −2.69 | 2.165, 16.55, −31.28 to 35.61 | 44 |
| Oceania (n=1) | −5.37‡, 2.15, −9.72 to −1.03 | 109.6‡, 43.45, 21.73 to 197.5 | 1.68, 5.81, −10.07 to 13.43 | 41.78, 44.51, −48.25 to 131.8 | 43 |
| Latin America (n=7) | −1.99, 1.15, −4.31 to −0.33 | 28.32, 26.18, −24.58 to 81.22 | 1.39, 2.88, −4.42 to 7.21 | 11.54, 21.95, −32.82 to 55.89 | 44 |
| OECD membership | |||||
| OECD (n=28) | −2.91§, 0.79, −4.50 to −1.32 | −2.18, 15.77, −34.05 to 29.70 | 1.48, 1.88, −2.32 to 5.28 | 27.21†, 16.16, −5.45 to 59.87 | 44 |
| Non-OECD (n=43) | −1.34‡, 0.56, −2.47 to −0.20 | 29.21†, 15.50, −2.12 to 60.53 | 1.47, 3.20, −4.99 to 7.94 | 26.80‡, 11.25, 4.07 to 49.53 | 44 |
| Excluding China (n=70) | −1.42‡, 0.65, −2.72 to −0.10 | 24.55†, 14.27, −4.30 to 53.40 | −2.15, 2.07, −6.33 to 2.04 | 7.83, 11.84, −16.10 to 31.77 | 44 |
| Countries that have not divided (n=57) | −1.66§, 0.41, −2.48 to −0.83 | 23.79, 12.01, −0.49 to 48.08 | 1.72†, 2.43, −3.19 to 6.63 | 22.22§, 7.56, 6.93 to 37.51 | 44 |
| Top cigarette-consuming countries | |||||
| 1. China | −2.51†, 1.37, −5.28 to 0.26 | 62.65§, 20.26, 21.69 to 103.6 | 1.58, 1.82, −2.09 to 5.25 | 68.39‡, 30.59, 6.58 to 130.2 | 44 |
| 2. Russia | −73.09‡, 29.25, −135.8 to −10.34 | −9.38, 127.7, −283.4 to 264.6 | 56.88†, 31.44, −10.55 to 124.3 | 495.0§, 108.3, 262.8 to 727.3 | 18 |
| 3. USA | −3.25, 2.12, −7.54 to 1.03 | 22.55, 32.98, −44.11 to 89.20 | 4.89, 3.07, −1.31 to 11.08 | 2.55, 45.75, −89.91 to 95.00 | 44 |
| 4. Japan | −4.77§, 1.57, −7.95 to −1.60 | −54.94, 36.78, −129.3 to 19.46 | 11.04†, 6.02, −1.13 to 23.20 | 75.78‡, 28.52, 18.10 to 133.5 | 43 |
| 5. Indonesia | −2.38, 1.43, −5.27 to 0.51 | −23.43, 46.84, −118.3 to 71.40 | 19.44, 11.90, −4.64 to 43.52 | 57.35§, 19.95, 16.95 to 97.74 | 42 |
| 6. Philippines | −1.60, 3.78, −9.24 to 6.05 | −16.77, 105.5, −230.4 to 196.9 | 26.46, 22.45, −18.99 to 71.90 | 6.53, 75.14, −145.6 to 158.6 | 42 |
| 7. India | −0.17, 0.21, −0.60 to 0.26 | 17.18‡, 6.604, 3.83 to 30.53 | −1.51‡, 0.72, −2.96 to −0.05 | −1.32, 3.85, −9.11 to 6.47 | 44 |
| 8. Brazil | −4.16‡, 1.85, −7.91 to −0.42 | 70.38, 47.69, −26.01 to 166.8 | 1.06, 3.65, −6.32 to 8.43 | 49.39, 31.44, −14.15 to 112.9 | 44 |
| 9. Turkey | −2.33, 3.39, −9.18 to 4.52 | 34.54, 86.84, −141.1 to 210.2 | −24.50, 20.73, −66.42 to 17.43 | 53.30, 76.15, −100.7 to 207.3 | 43 |
| 10. Ukraine | 24.91, 59.88, −103.5 to 153.3 | −1.05, 207.3, −445.7 to 443.7 | −69.62, 61.80, −202.2 to 62.92 | 95.05, 228.9, −395.9 to 586.0 | 18 |
Positive (or negative) level change indicates a one-time increase (or decrease) in the rate of change of cigarette consumption per capita; positive (or negative) trend change indicates a continuing increase (or decrease) in the rate of change of cigarette consumption per capita after 2003.
Coefficient at 90% confidence level.
Coefficient at 95% confidence level.
Coefficient at 99% confidence level.
Number of years used for each analysis (which differ depending on the data available for each region or country).
Fig 5Population weighted, global event model predictions of cigarette consumption per capita, including 80%, 90%, and 95% prediction intervals, compared with actual consumption. In-sample forecast cutoff values begin in 2003 (adoption of the WHO Framework Convention on Tobacco Control (FCTC)), after which predictions are based on coefficients for the economy, political system, tobacco industry, and human development. Data are number of cigarettes consumed per adult aged 15 years or older per year
Fig 6Population weighted, global event model predictions of cigarette consumption per capita for 29 high income countries (top panel) and 41 low and middle income countries (bottom panel), including 80%, 90%, and 95% prediction intervals, compared with actual consumption. In-sample forecast cutoff values begin in 2003 (adoption of the WHO Framework Convention on Tobacco Control (FCTC)), after which predictions are based on coefficients for the economy, political system, tobacco industry, and human development. Data are number of cigarettes consumed per adult aged 15 years or older per year
Fig 7Population weighted, global event model predictions of cigarette consumption per capita for the Americas (top panel), Europe (middle panel), and Asia (bottom panel) with actual consumption. In-sample forecast cutoff values begin in 2003 (adoption of the WHO Framework Convention on Tobacco Control (FCTC)), after which predictions are based on coefficients for the economy, political system, tobacco industry, and human development. Data are number of cigarettes consumed per adult aged 15 years or older per year