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Estimated Public Health Gains From Smokers in Germany Switching to Reduced-Risk Alternatives: Results From Population Health Impact Modelling by Socioeconomic Group Cover

Estimated Public Health Gains From Smokers in Germany Switching to Reduced-Risk Alternatives: Results From Population Health Impact Modelling by Socioeconomic Group

Open Access
|May 2022

Figures & Tables

Figure 1

Comparison of Null Scenario and derived estimates of current smoking prevalence.
Comparison of Null Scenario and derived estimates of current smoking prevalence.

Figure 2

Nicotine usage in the Conversion Scenario.
Nicotine usage in the Conversion Scenario.

Figure 3

DDs in the Conversion Scenario over the whole follow-up period.
DDs in the Conversion Scenario over the whole follow-up period.

Figure 4

YLS by Scenario and SEG over the whole follow-up period.
YLS by Scenario and SEG over the whole follow-up period.

Drop in deaths by SEG over the follow-up period in Germany in the Alternative Scenarios_

SEGScSex/ScenarioDD (n)DD (%)


LCIHDStrokeCOPDAll four diseasesLCIHDStrokeCOPDAll four diseases
Men
A1Complete cessation15,71130,7365,3134,30356,06214.8553.8149.0218.6528.48
3Complete switch to RRPs (50% HnBs, 50% ECigs)12,72125,3904,5193,67646,30512.0244.4541.7015.9323.53
6Conversion Scenario4,90410,4981,9791,62519,0074.6418.3818.267.049.66
7Full Conversion Scenario5,19711,2212,0991,70120,2184.9119.6419.377.3710.27
B1Complete cessation31,38356,53010,6929,710108,31512.4144.2746.2015.9423.31
3Complete switch to RRPs (50% HnBs, 50% ECigs)25,53846,7909,1048,28089,71310.1036.6439.3413.6019.31
6Conversion Scenario10,05919,5164,0773,60537,2563.9815.2817.625.928.02
7Full Conversion Scenario10,54920,3534,2493,76638,9184.1715.9418.366.188.38
A+B1Complete cessation47,09487,26616,00514,013164,37713.1347.2247.1016.6924.85
3Complete switch to RRPs (50% HnBs, 50% ECigs)38,25972,18013,62311,956136,01810.6739.0540.0914.2420.56
6Conversion Scenario14,96330,0146,0565,23056,2634.1716.2417.826.238.51
7Full Conversion Scenario15,74631,5746,3485,46759,1364.3917.0818.686.518.94
Women
A1Complete cessation6,7035,8412,5921,52716,66323.6655.3851.4224.1833.17
3Complete switch to RRPs (50% HnBs, 50% ECigs)5,3954,8672,2101,30313,77619.0446.1543.8520.6327.42
6Conversion Scenario1,8341,7998645065,0036.4717.0517.158.019.96
7Full Conversion Scenario1,9971,9589345415,4307.0518.5618.528.5610.81
B1Complete cessation15,9813,2095,2644,91639,36920.6645.8751.2023.6028.68
3Complete switch to RRPs (50% HnBs, 50% ECigs)12,92911,0564,4674,17832,63016.7138.3943.4520.0623.78
6Conversion Scenario4,8984,4931,9341,80413,1296.3315.6018.818.669.57
7Full Conversion Scenario5,1464,6822,0281,87813,7346.6516.2619.739.0210.01
A+B1Complete cessation22,68319,0507,8566,44356,03221.4648.4251.2723.7329.88
3Complete switch to RRPs (50% HnBs, 50% ECigs)18,32415,9236,6775,48146,40617.3440.4743.5820.1924.75
6Conversion Scenario6,7326,2922,7982,31018,1326.3715.9918.268.519.67
7Full Conversion Scenario7,1436,6402,9622,41919,1646.7616.8819.338.9110.22

Distribution of quit time a by SEG in Germany in 1995_

SexAge (years)SEG = A Distribution of quit time (years)bSEG = B Distribution of quit time (years)b


<11–23–56–1011–2021+<11–23–56–1011–2021+
Men10–1499.90.1000099.90.10000
15–1969.430.6000069.430.60000
20–2438.729.831.500051.141.77.2000
25–2910.733.247.55.43.2041.823.334.8000
30–3413.749.121.211.84.2019.536.714.27.622.00
35–3912.216.217.826.523.73.529.422.312.622.213.60
40–4410.714.210.716.540.57.319.115.312.322.726.34.4
45–4915.710.714.314.539.15.814.218.77.017.030.412.7
50–545.88.310.714.541.818.99.113.223.913.822.917.2
55–593.36.72.713.025.249.04.211.211.417.827.228.1
60–644.58.47.76.133.639.65.66.411.58.026.941.7
65–693.43.63.410.223.456.05.24.93.516.629.240.6
70–7407.37.11.924.659.05.05.97.610.122.748.6
75–7902.30.810.419.267.14.60.60.411.425.057.9
Women10–1499.90.1000099.90.10000
15–1960.239.8000060.239.80000
20–2444.935.318.41.40032.028.437.62.000
25–2946.332.013.90.17.7020.023.633.922.600
30–349.826.330.628.35.0029.014.919.126.011.20
35–3911.223.019.618.228.0010.228.911.929.519.50
40–4412.613.413.713.236.011.125.615.16.413.314.824.7
45–497.39.210.812.741.119.18.522.18.113.037.311.0
50–5410.39.512.27.934.825.212.012.14.224.832.414.5
55–597.84.87.213.513.053.825.82.36.611.636.117.5
60–646.16.87.317.615.147.012.30.910.317.132.327.1
65–690.827.210.32.014.145.58.88.514.913.121.133.7
70–74015.600.735.348.39.18.89.26.722.543.8
75–79012.8014.512.660.16.43.123.618.828.219.9

Annual probabilities of transition between SEGs by sex and age_

Age (years)Transitions from A to BTransitions from B to A


MenWomenMenWomen
10–140.020.020.05220.0371
15–190.020.020.01640.0086
20–240.020.020.07190.0400
25–290.020.020.05330.0484
30–340.020.020.05590.0486
35–390.020.020.05860.0527
40–440.020.020.06150.0574
45–490.020.020.04150.0352
50–540.020.020.03710.0316
55–590.020.020.06670.0327
60–640.040.040.05410.0283
65–690.040.040.05050.0294
70–740.060.060.03790.0114
75–790.060.060.03790.0114

Data on population, proportion by SEG and smoking prevalence in Germany in 1995_a

SexAge (years)Population (hundreds)% in SEG A% in SEG B% Current smokers% Former smokers


SEG = ASEG = BSEG = ASEG = B
Men10–1423,11250.0050.006.126.120.000.00
15–1921,92150.0050.0026.6226.623.503.50
20–2424,90841.4258.5848.8561.656.4118.75
25–2935,54351.1548.8546.6662.1310.2015.07
30–3437,60459.9640.0444.9262.3914.8213.05
35–3934,00655.8244.1843.6462.1520.0312.67
40–4429,15456.1243.8842.9662.4726.4413.43
45–4925,04951.8148.1940.2357.0532.2521.05
50–5427,48245.3254.6835.4744.4338.6031.52
55–5929,22140.7359.2726.9030.1245.1039.24
60–6420,58236.6663.3418.6522.0949.7842.61
65–6918,08731.9568.0516.8119.4552.0945.88
70–7412,28029.0470.9613.7514.9252.9049.50
75–795,81228.7271.289.909.9352.4453.37
10–79344,76147.8052.2035.4842.1723.2123.96
Population b10–79344,761164,798179,76358,46375,89638,25843,122
Mean age10–7940.9238.9142.7637.8239.5249.9353.82
Women10–1421,92850.0050.005.395.390.000.00
15–1920,78850.0050.0019.7319.730.160.16
20–2423,61848.5751.4327.8551.3322.961.96
25–2933,24157.3942.6130.2451.3021.548.05
30–3434,68161.4138.5932.0351.2321.8512.69
35–3931,27163.6836.3233.0550.8223.5315.94
40–4427,58060.6239.3833.8751.9528.0917.78
45–4924,14250.5949.4131.0141.5525.8418.09
50–5426,95840.6759.3325.6928.7220.3014.89
55–5929,51139.7160.2919.1818.5217.039.49
60–6421,70329.1670.8415.7510.9619.776.50
65–6922,60918.9180.0914.546.2923.128.21
70–7421,88616.7783.2312.463.3321.4610.04
75–7912,22617.9582.0510.522.2616.3512.74
10–79352,14245.7854.2225.9526.6719.589.78
Population b10–79352,142161,201190,94141,82950,93031,55918,674
Mean age10–7943.2538.4747.2938.1038.7441.5251.54

Monthly tobacco transition probabilities (per million) by SEG in the Null Scenario for Germany_

SEG ASEG B




Period (years)Age (years)Initiation (PNC)Quitting (PCF)Re-initiation (PFC)Initiation (PNC)Quitting (PCF)Re-initiation (PFC)


MenWomenMenWomenMenWomenMenWomenMenWomenMenWomen
1–510–144,2963,4622,4461,4541,1666954,2963,4622,4461,4541,166695
15–195,5785,9484,29318,3102,0358,32513,0309,8244,4065,7522,0882,714
20–242,5602,7124,6312,8082,1931,3375,2772,4709643,6304611,724
25–291731,3013,4112,3901,6211,1392,4321,6631,0612,6195081,247
30–345166383,6952,5321,7551,2077787231,2511,770599845
35–39004,0072,8911,9011,376001,474981705470
40–44003,5692,0891,696997002,5061,935595319
45–49004,0412,3961,434855003,5061,903414181
50–54005,0403,4631,184504003,7331,789220128
55–59004,4876,368527404002,7563,032163108
60–64002,1536,226256305002,8597,7888470
65–69002,2523,685134195004,05710,1986046
70–74002,6733,02079125005,29214,5843932
75–79002,6733,02079125005,29214,5843932
6–1010–143,6542,9862,0632,2109851,0543,6542,9862,0632,2109851,054
15–194,8164,2567,80414,7193,6606,7669,49610,2123,1779,7301,5114,537
20–249781,9934,4763,4702,1201,6493,3592,0241,3233,3276331,582
25–293209674,0473,0441,9201,4481,1791,1971,2382,2505921,073
30–344614774,1583,1001,9721,4757603801,6401,462784699
35–39004,0443,0561,9191,454001,954937933449
40–44003,1462,7981,4961,201002,2191,468791354
45–49003,7513,4401,3331,059002,9071,588684189
50–54004,3584,1211,027786003,2761,900430113
55–59003,8655,097455495002,9472,84831684
60–64002,6274,689311462002,8534,23915362
65–69002,6803,966159364003,8244,84010135
70–74003,1444,76793205004,6875,2866122
75–79003,1444,76793205004,6875,2866122
11+10–142,8832,0721,8403,5938791,7062,8832,0721,8403,5938791,706
15–194,4383,67914,55312,9816,6815,9996,83711,8641,34017,1336407,807
20–243741,1865,4893,9332,5931,8651,3231,4951,5322,8457321,355
25–294635735,2963,8232,5031,8151,8526782,0931,715998819
30–344092835,0293,9312,3791,8661,7181902,4581,1411,171546
35–39004,3853,0912,0781,470002,7278741,299419
40–44002,7503,6811,3091,146001,8561,166886301
45–49003,3765,2151,085694002,2931,958819233
50–54003,4324,989703499003,2192,218646132
55–59003,1394,394318436003,0772,88230585
60–64002,8933,412278340003,2592,31616069
65–69003,0154,064142203003,8212,4639436
70–74003,5717,87283148004,2232,2455233
75–79003,5717,87279125004,2232,2453932

YLS (thousands) by age 75 by SEG over follow-up in Germany in the Alternative Scenarios_

SEGScScenarioMenWomen


LCIHDStrokeCOPDAll four diseasesLCIHDStrokeCOPDAll four diseases
A1Complete cessation19456387368801161145519305
3Complete switch to RRPs (50% HnBs, 50% ECigs)153457743071492944716250
6Conversion Scenario5518331122813034186288
7Full Conversion Scenario5919833133033338196697
B1Complete cessation312855142661,3741751757737465
3Complete switch to RRPs (50% HnBs, 50% ECigs)247689119561,1121381436532378
6Conversion Scenario92277512444448552613143
7Full Conversion Scenario96290532546451582814151
Language: English
Page range: 52 - 67
Submitted on: May 27, 2021
Accepted on: Mar 1, 2022
Published on: May 5, 2022
Published by: Institut für Tabakforschung GmbH
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2022 Romana Rytsar, Smilja Djurdjevic, Alexander K. Nussbaum, Ashok Kaul, Emanuel Bennewitz, Peter N. Lee, John S. Fry, published by Institut für Tabakforschung GmbH
This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License.