Abstract
Background
Little is known about the time course of mortality reduction following smoking cessation in Asians who have smoking behaviours distinct from their Western counterparts. We evaluated the level of reduction in all-cause, cardiovascular disease (CVD) and lung cancer mortality by years since quitting smoking, in Asia.
Methods
Using Cox regression, we analysed individual participant data (n = 709 151) from 16 prospective cohorts conducted in China, Japan, Korea/Singapore, and India/Bangladesh, separately by cohorts. Cohort-specific hazard ratios (HRs) were combined using a random-effects meta-analysis.
Results
During a mean follow-up of 12.0 years, 108 287 deaths were ascertained—35 658 from CVD and 7546 from lung cancer. Among Asian men, a dose-response relationship of risk reduction in deaths from all causes, CVD and lung cancer was observed with an increase in years after smoking cessation. Compared with never smokers, however, all-cause and CVD mortality among former smokers remained elevated 10–14 years after quitting [multivariable-adjusted HR (95% confidence interval (CI) = 1.25 (1.13–1.37) and 1.20 (1.02–1.41), respectively]. Lung cancer mortality stayed almost 2-fold higher than among never smokers 15–19 years after smoking cessation [1.97 (1.41–2.73)], particularly among former heavy smokers [2.62 (1.71–4.00)]. Women who quitted for ≥5 years retained a significantly elevated mortality from all causes, CVD and lung cancer. Overall patterns of the cessation-mortality associations were similar across countries.
Conclusions
Our findings suggest that adverse effects of tobacco smoking persist for an extended time period, even for more than two decades, which is beyond the time windows defined in current clinical guidelines for risk assessment of lung cancer and CVD.
Keywords: Smoking cessation, mortality, lung cancer, cardiovascular disease, cohort, Asia
Key Messages.
Harmful effects of tobacco smoking persist for an extended time period, even for more than two decades, which is beyond the time windows defined in current clinical guidelines for lung cancer screening and cardiovascular disease risk assessment.
Our findings suggest that adverse effects of tobacco smoking among former smokers may be underestimated by current guidelines for disease risk assessment.
Given the increasing numbers of former smokers over the years, it is imperative to provide strong support for implementing effective preventive measures in former smokers to reduce their potential disease burdens and excess mortality.
Introduction
Tobacco smoking is one of the biggest public health challenges, causing more than eight million deaths per year globally.1 While high-income Western countries have made significant progress in tobacco control over the past several decades, Asia has now become the epicentre of tobacco smoking.2–5 Many Asian countries such as China and India are facing a growing health burden due to smoking, with a significant increase in smoking-attributable mortality.5 Of note, Asian smokers show unique patterns in smoking behaviours that are distinct from their Western counterparts.5 Despite some variations by economic status across countries, in general, smoking patterns in middle-aged and elderly Asians are characterized by relatively late initiation, less cigarette consumption per day and a lower likelihood of smoking cessation.5,6
Benefits of smoking cessation have been well documented.3,7–10 Several large cohort studies in the USA and UK have consistently reported that former smokers have a substantially reduced total and major cause-specific mortality such as cardiovascular disease (CVD) and lung cancer mortalities, as compared with current smokers.7–11 Similar findings have been also reported in Asian populations,12–16 including our own study based on the Asia Cohort Consortium (ACC).4 However, it remains unclear how long residual effects of smoking could persist after cessation and when the underlying risk of former smokers would be comparable to that of never smokers, particularly among Asian smokers who have distinct smoking behaviours from those of Westerners.
Clinical guidelines have now provided personalized interventions based on the individual’s smoking history, i.e. years since quitting and cumulative smoking pack-years, for cost-efficient prevention programmes. For example, the US Preventive Services Task Force (USPSTF) recommends an annual lung cancer screening with low-dose computed tomography for smokers with a history of ≥20 pack-years smoking who are either current smokers or quit smoking within <15 years.17,18 In CVD risk assessment, the underlying risk of former smokers is generally regarded to be equivalent to never smokers after 5 years of smoking abstinence.19 However epidemiological evidence to date, although mostly limited to Western countries, indicates that elevated risks/mortality of lung cancer and CVD for former smokers do not reach those of lifelong never smokers until up to 10 to ≥25 years after cessation,20–24 suggesting the possibility of underestimating residual effects of tobacco smoking in current guidelines.
Quantifying the time course of risk reduction following cessation is important in identifying high- vs. low-risk smokers for disease prevention. In this study including multiple Asian populations, we sought to evaluate the impact of smoking cessation on subsequent total and cause-specific mortality among Asian former smokers and to further quantify the level of mortality reduction by years of quitting smoking, with stratification of lifetime smoking intensity and sex.
Methods
Study population
This pooling project includes 16 population-based cohort studies that are conducted in China, Japan, Korea, Singapore, Bangladesh and India, participating in the ACC (Table 1). The study protocols of all cohorts and the current project were approved by their individual institutional review boards and ethics committees. Each cohort obtained the consent of participants to collect their baseline and outcome data, according to the study protocol. De-identified, individual-participant data from each cohort were harmonized by the ACC coordinating centre. Detailed descriptions of the ACC and all participating cohorts have been provided previously.4,5,25
Table 1.
Characteristics of the participating cohorts in the Asia Cohort Consortium
| Current smoking |
Former smoking |
No. deaths |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Participating cohorts | No. participantsa | Baseline survey | Follow-up years | Age at baselineb | Men (%) | Men (%) | Women (%) | Men (%) | Women (%) | All causes | CVD | Lung cancer |
| China | ||||||||||||
| CHEFS | 135 007 | 1990–1992 | 7.8 | 55.5 | 48.2 | 59.0 | 12.6 | 3.6 | 0.6 | 14 744 | 6495 | 860 |
| SCS | 18 010 | 1986–1989 | 16.4 | 55.2 | 100.0 | 50.6 | – | 6.7 | – | 4902 | 1660 | 621 |
| SMHS | 56 165 | 2002–2006 | 9.6 | 54.4 | 100.0 | 61.0 | – | 9.4 | – | 3886 | 1031 | 573 |
| SWHS | 67 268 | 1997–2000 | 15.0 | 51.8 | 0.0 | – | 2.3 | – | 0.4 | 5637 | 1629 | 515 |
| Japan | ||||||||||||
| 3Pref Aichi | 29 318 | 1985–1985 | 11.9 | 56.1 | 49.2 | 55.5 | 12.7 | 28.5 | 4.2 | 5198 | 1810 | 346 |
| JPHC1 | 40 788 | 1990–1992 | 21.1 | 49.5 | 47.6 | 53.6 | 5.6 | 21.7 | 1.5 | 6753 | 1625 | 518 |
| JPHC2 | 52 827 | 1992–1995 | 17.9 | 54.0 | 46.7 | 51.5 | 5.9 | 23.5 | 1.2 | 11 213 | 2760 | 850 |
| 3Pref Miyagi | 26 810 | 1984–1984 | 11.9 | 56.4 | 43.8 | 60.5 | 9.3 | 17.5 | 1.9 | 4865 | 1872 | 244 |
| Miyagi | 36 240 | 1990–1990 | 16.5 | 51.4 | 52.5 | 62.7 | 8.1 | 16.6 | 1.5 | 4129 | 1063 | 347 |
| Ohsaki | 42 034 | 1994–1994 | 11.4 | 59.9 | 45.3 | 53.9 | 5.7 | 22.4 | 1.5 | 7293 | 2115 | 480 |
| LSS | 44 089 | 1963–1993 | 13.9 | 60.4 | 40.7 | 84.2 | 14.2 | 1.1 | 0.2 | 22 328 | 8183 | 1037 |
| Korea | ||||||||||||
| KMCC | 10 300 | 1993–2004 | 13.6 | 55.7 | 32.4 | 51.3 | 4.3 | 19.3 | 1.0 | 1797 | 435 | 133 |
| Seoul Male | 11 630 | 1992–1993 | 15.6 | 48.9 | 100.0 | 53.2 | – | 22.9 | – | 682 | 105 | 76 |
| Singapore | ||||||||||||
| SCHS | 57 714 | 1993–1999 | 11.7 | 56.1 | 43.9 | 36.8 | 6.2 | 20.3 | 2.2 | 8234 | 2725 | 874 |
| India | ||||||||||||
| Mumbai | 76 719 | 1991–1997 | 5.3 | 50.8 | 67.3 | 41.6 | 0.9 | 5.7 | 0.1 | 6194 | 1963 | 47 |
| Bangladesh | ||||||||||||
| HEALS | 4232 | 2000–2002 | 12.3 | 43.7 | 67.9 | 78.1 | 14.7 | 4.6 | 0.8 | 432 | 187 | 25 |
| Total | 709 151 | 1963–2006 | 12.0 | 54.4 | 50.8 | 55.0 | 7.4 | 12.3 | 1.1 | 108 287 | 35 658 | 7546 |
CVD, cardiovascular disease; CHEFS, China Hypertension Survey Epidemiology Follow-up Study; SCS, Shanghai Cohort Study; SMHS, Shanghai Men’s Health Study; SWHS, Shanghai Women’s Health Study; 3Pref Aichi, 3 Prefecture Aichi Study; JPHC, Japan Public Health Centre-based prospective Study; 3Pref Miyagi, 3 Prefecture Miyagi; Miyagi, Miyagi Cohort; Ohsaki, Ohsaki National Health Insurance Cohort Study; LSS, Life Span Study Cohort; KMCC, Korean Multi-centre Cancer Cohort Study; Seoul Male, Seoul Male Cancer Cohort; SCHS, Singapore Chinese Health Study; Mumbai, Mumbai Cohort Study; HEALS, Health Effects for Arsenic Longitudinal Study.
Including only participants eligible for the current analysis.
Mean age at the enrolment of the baseline (smoking) survey.
Exposure assessment
At the baseline survey, data on lifetime smoking history were collected using cohort-specific questionnaires. Smokers were typically defined as participants who smoked at least one cigarette per day for at least 6 months or who smoked more than 20 packs in their lifetime. Given the weight of tobacco flakes per bidi and per cigarette,4 one bidi was regarded as a quarter of a cigarette. Smoking status was categorized into current, former and never. For current and former smokers, data on age at smoking initiation, usual daily cigarette consumption and smoking duration were obtained. Lifetime smoking intensity was measured as cumulative pack-years, calculated by multiplying the number of packs of cigarettes smoked per day by the number of years of smoking. For former smokers, age at smoking cessation was also obtained; years since quitting smoking were estimated using the time interval from age at quitting to age at interview.
Outcome ascertainment
Through data linkage to cancer registries and death certificates, a repeated active follow-up survey and medical record reviews, we ascertained vital status at the latest follow-up and the primary cause of death for the deceased. Based on the ninth or tenth revision of the International Statistical Classification of Diseases (ICD-9 or 10), the mortality outcomes that we focused on were deaths from all causes (001-E999 or A00-Y98), CVD (390–459 or I00–I99) and lung cancer (162 or C34). Follow-up time was defined by years from the date of enrolment to the date of death, loss-to-follow-up, or end of follow-up, whichever came first.
Statistical analysis
Of the 879 449 initial participants from 16 cohorts, we excluded individuals having invalid data on smoking-related variables [smoking status (n = 15 528), smoking pack-years (n = 13 217) and age at quitting among former smokers (n = 2422)] or follow-up (n = 2740)]. To minimize the possibility of reverse causation, we also excluded individuals who had a history of cancer or CVD at baseline (n = 35 872) and who were censored (i.e. died or lost-to-follow-up) within the first year after enrolment (n = 25 101). All analyses were limited to participants aged >35, given the rarity of smoking-attributable deaths in early adulthood, thus excluding another 6956. Additionally, current users of smokeless tobacco products were excluded (n = 68 462) due to the significant association of smokeless smoking with excess mortality.26 After those exclusions, a total of 709 151 participants, 360 415 men and 348 736 women, remained for the analysis.
Based on a two-stage individual-participant data meta-analysis,27 we first performed Cox regression analysis to estimate hazard ratios (HRs) for mortality outcomes in each cohort. Then cohort-specific HRs were combined using the DerSimonian and Laird random-effects meta-analysis.28 Cox models were stratified by 5-year groups of birth year and enrolment year. Time scale was defined by age at enrolment and age at censoring. Analyses were conducted separately by sex, given the substantial difference in smoking prevalence and patterns across sexes.5 All models were adjusted for baseline age (continuous), education (none, primary, secondary, vocational school, university and postgraduate studies), marital status (single/separated/divorced/widowed and married), residence area (urban and rural), and body mass index (BMI; <18.5, 18.5–24.9, 25.0–29.9, and ≥30.0 kg/m2), all of which previously showed significant associations with mortality in the ACC populations. For missing covariates, we assigned the cohort-specific median (for continuous) or mode values (for categorical) of the non-missing covariates.
The time course and magnitude of reduction in mortality were estimated in former smokers relative to current smokers, according to years since quitting smoking as a categorical variable (<5, 5–9, 10–14, 15–19, 20–24 and ≥ 25 years) in Cox models. We also evaluated the shape of dose-response relation with years since quitting as a continuous variable using restricted cubic splines with four knots. Current smokers were coded as a value of 0, and former smokers who quit smoking more than 25 years ago were coded as a value of 26. The spline models were built in a pooled dataset incorporating all study participants, with stratification of cohort. Similarly, we also investigated the time course and risk reduction in former smokers relative to never smokers. In the analysis of a continuous variable using spline models, never smokers were assigned a value of 50, considering that for former smokers, years since quitting were all below 50 years. All analyses were conducted using SAS version 9.4 (SAS Institute, Cary, NC, USA).
Results
A total of 709 151 Asians were followed for a mean of 12.0 years, and their mean age at baseline was 54.4 years. The overall rates of current and former smoking were 55.0% and 12.3% among men, respectively, whereas the rates dropped dramatically among women at 7.4% and 1.1%, respectively. During the follow-up, 108 287 deaths were confirmed, which included 35 658 deaths from CVD and 7546 deaths from lung cancer (Table 1).
Compared with never smokers (Table 2), former smokers had a 22% to 26% increased risk of death from all causes or CVD {multivariable-adjusted HR [95% confidence interval (CI) = 1.26 (1.18–1.34) and 1.22 (1.11–1.34), respectively] and showed a 2.09-fold increased risk of dying of lung cancer [2.09 (1.82–2.40)]}. The corresponding HRs (95% CIs) for current smokers elevated to 1.55 (1.44–1.68), 1.49 (1.36–1.64) and 4.34 (3.59–5.25), respectively. The smoking-mortality associations were more pronounced in heavy smokers: former and current smokers who smoked more than 20 cumulative pack-years had a 3.06- and 5.72-fold increased risk of lung cancer mortality, respectively. The overall pattern of the associations was similar between men and women.
Table 2.
Hazard ratios (95% CIs) of death from all causes, cardiovascular disease and lung cancer associated with tobacco smoking among Asian populations
| All causes |
Cardiovascular disease |
Lung cancer |
|||||
|---|---|---|---|---|---|---|---|
| Smoking status | No. participants | No. deaths | HR (95% CI)a | No. deaths | HR (95% CI)a | No. deaths | HR (95% CI)a |
| Total | |||||||
| Never | 437 355 | 53 948 | 1 (ref.) | 19 047 | 1 (ref.) | 2062 | 1 (ref.) |
| Former | 47 876 | 9872 | 1.26 (1.18–1.34) | 2904 | 1.22 (1.11–1.34) | 664 | 2.09 (1.82–2.40) |
| ≤20 pack-years | 24 745 | 3844 | 1.15 (1.06–1.25) | 1236 | 1.20 (1.07–1.35) | 156 | 1.38 (1.12–1.70) |
| >20 pack-years | 23 131 | 5983 | 1.36 (1.28–1.45) | 1668 | 1.22 (1.12–1.33) | 508 | 3.06 (2.58–3.64) |
| Current | 223 920 | 44 512 | 1.55 (1.44–1.68) | 13 707 | 1.49 (1.36–1.64) | 4820 | 4.34 (3.59–5.25) |
| ≤20 pack-years | 97 675 | 14 490 | 1.43 (1.33–1.53) | 4800 | 1.40 (1.28–1.54) | 888 | 2.72 (2.27–3.26) |
| >20 pack-years | 126 245 | 30 022 | 1.63 (1.49–1.79) | 8907 | 1.56 (1.41–1.72) | 3932 | 5.72 (4.73–6.92) |
| Men | |||||||
| Never | 117 953 | 15 525 | 1 (ref.) | 5530 | 1 (ref.) | 532 | 1 (ref.) |
| Former | 44 178 | 9084 | 1.24 (1.15–1.33) | 2611 | 1.16 (1.04–1.28) | 614 | 2.31 (1.99–2.69) |
| ≤20 pack-years | 21 790 | 3307 | 1.09 (0.98–1.21) | 1011 | 1.09 (0.94–1.26) | 130 | 1.39 (1.07–1.80) |
| >20 pack-years | 22 388 | 5777 | 1.34 (1.26–1.44) | 1600 | 1.19 (1.08–1.31) | 484 | 3.12 (2.57–3.78) |
| Current | 198 284 | 39 028 | 1.53 (1.40–1.66) | 11 575 | 1.41 (1.27–1.56) | 4361 | 5.08 (4.01–6.43) |
| ≤20 pack-years | 79 850 | 11 135 | 1.39 (1.29–1.49) | 3478 | 1.31 (1.19–1.45) | 674 | 2.89 (2.27–3.68) |
| >20 pack-years | 118 434 | 27 893 | 1.57 (1.43–1.73) | 8097 | 1.45 (1.30–1.61) | 3687 | 5.94 (4.74–7.45) |
| Women | |||||||
| Never | 319 402 | 38 423 | 1 (ref.) | 13 517 | 1 (ref.) | 1530 | 1 (ref.) |
| Former | 3698 | 743 | 1.31 (1.18–1.46) | 293 | 1.46 (1.24–1.71) | 50 | 2.47 (1.84–3.30) |
| ≤20 pack-years | 2955 | 537 | 1.29 (1.16–1.44) | 225 | 1.53 (1.29–1.82) | 26 | 1.88 (1.27–2.78) |
| >20 pack-years | 743 | 206 | 1.44 (1.20–1.72) | 68 | 1.32 (1.04–1.68) | 24 | 5.17 (3.41–7.85) |
| Current | 25 636 | 5484 | 1.54 (1.40–1.69) | 2132 | 1.60 (1.44–1.77) | 459 | 3.49 (2.86–4.26) |
| ≤20 pack-years | 17 825 | 3355 | 1.44 (1.34–1.55) | 1322 | 1.49 (1.35–1.65) | 214 | 2.59 (2.18–3.09) |
| >20 pack-years | 7811 | 2129 | 1.73 (1.51–1.98) | 810 | 1.75 (1.51–2.03) | 245 | 5.72 (4.47–7.32) |
All models were stratified by cohort, 5-year groups of birth year, and enrolment year and adjusted for age, sex (for total), education, marital status, rural/urban residence and body mass index.
Among Asian men (Table 3), smoking cessation was associated with a substantial decrease in all-cause, CVD and lung cancer mortalities in a dose-response manner with years since quitting. Compared with current smokers, former smokers who quit smoking less than 5 years ago had an 11%–34% lower risk of death from all causes [HR (95% CI) = 0.89 (0.80–0.99)] and lung cancer [0.66 (0.53–0.80)]. Compared with never smokers, however, the risk of death from all causes and CVD among former smokers remained higher 10–14 years after cessation [1.25 (1.13–1.37) and 1.20 (1.02–1.41), respectively]. Furthermore, the risk of death due to lung cancer associated with tobacco smoking remained almost 2-fold elevated 15–19 years after quitting [1.97 (1.41–2.73)]. In particular, former smokers who smoked more than 20 pack-years had a 2.20-fold increased risk of death due to lung cancer even after 25 years since smoking cessation [2.20 (1.00–4.83)].
Table 3.
Hazard ratios (95% CIs)a of death from all causes, cardiovascular disease and lung cancer associated with years since quitting tobacco smoking among Asian men
| All causes |
Cardiovascular disease |
Lung cancer |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Years since quitting | No. participants | Person- years | No. deaths | Former vs. current | Former vs. never | No. deaths | Former vs. current | Former vs. never | No. deaths | Former vs. current | Former vs. Never |
| All former smokers | |||||||||||
| Current smokers | 198 284 | 2 239 574 | 39 028 | 1 (ref.) | 11 575 | 1 (ref.) | 4361 | 1 (ref.) | |||
| <5 | 14 125 | 176 611 | 2850 | 0.89 (0.80–0.99) | 1.38 (1.28–1.49) | 810 | 0.89 (0.76–1.06) | 1.27 (1.12–1.44) | 266 | 0.66 (0.53–0.80) | 3.51 (2.75–4.48) |
| 5 to 9 | 10 123 | 131 937 | 2047 | 0.84 (0.75–0.94) | 1.32 (1.22–1.43) | 560 | 0.81 (0.69–0.94) | 1.18 (1.07–1.30) | 142 | 0.47 (0.37–0.59) | 2.57 (2.11–3.14) |
| 10 to 14 | 7750 | 102 533 | 1617 | 0.80 (0.70–0.91) | 1.25 (1.13–1.37) | 478 | 0.84 (0.68–1.03) | 1.20 (1.02–1.41) | 95 | 0.37 (0.30–0.46) | 2.01 (1.59–2.53) |
| 15 to 19 | 5260 | 72 127 | 900 | 0.67 (0.58–0.78) | 1.06 (0.94–1.20) | 253 | 0.70 (0.56–0.87) | 1.02 (0.86–1.22) | 50 | 0.33 (0.23–0.46) | 1.97 (1.41–2.73) |
| 20 to 24 | 3162 | 40 807 | 665 | 0.67 (0.60–0.76) | 1.05 (0.97–1.14) | 186 | 0.67 (0.55–0.80) | 0.97 (0.84–1.13) | 26 | 0.29 (0.18–0.46) | 1.46 (0.96–2.21) |
| ≥25 | 3758 | 45 472 | 1005 | 0.67 (0.59–0.75) | 1.04 (0.96–1.13) | 324 | 0.76 (0.62–0.93) | 1.06 (0.93–1.21) | 35 | 0.25 (0.15–0.42) | 1.21 (0.84–1.75) |
| Never smokers | 117 953 | 1 230 990 | 15 525 | 1 (ref.) | 5530 | 1 (ref.) | 532 | 1 (ref.) | |||
| Former smokers with >20 cumulative pack-years | |||||||||||
| Current smokers | 198 284 | 2 239 574 | 39 028 | 1 (ref.) | 11 575 | 1 (ref.) | 4361 | 1 (ref.) | |||
| <5 | 9349 | 120 026 | 2211 | 0.91 (0.82–1.01) | 1.42 (1.31–1.54) | 601 | 0.88 (0.75–1.02) | 1.26 (1.12–1.42) | 234 | 0.74 (0.59–0.94) | 4.17 (3.20–5.44) |
| 5 to 9 | 5999 | 79 714 | 1529 | 0.88 (0.79–0.98) | 1.39 (1.28–1.51) | 403 | 0.82 (0.69–0.96) | 1.19 (1.07–1.33) | 121 | 0.52 (0.43–0.62) | 2.97 (2.40–3.67) |
| 10 to 14 | 3924 | 51 275 | 1089 | 0.83 (0.73–0.94) | 1.29 (1.18–1.41) | 313 | 0.83 (0.70–0.99) | 1.19 (1.05–1.36) | 75 | 0.44 (0.33–0.57) | 2.37 (1.83–3.06) |
| 15 to 19 | 1734 | 22 171 | 501 | 0.74 (0.63–0.86) | 1.18 (1.03–1.35) | 133 | 0.72 (0.53–0.97) | 1.06 (0.80–1.39) | 33 | 0.43 (0.31–0.62) | 2.62 (1.71–4.00) |
| 20 to 24 | 876 | 10 569 | 264 | 0.66 (0.57–0.75) | 1.05 (0.93–1.19) | 85 | 0.74 (0.59–0.91) | 1.12 (0.90–1.39) | 14 | 0.34 (0.20–0.57) | 1.79 (1.02–3.14) |
| ≥25 | 506 | 5581 | 183 | 0.65 (0.56–0.76) | 1.05 (0.90–1.22) | 65 | 0.75 (0.59–0.96) | 1.14 (0.89–1.47) | 7 | 0.44 (0.21–0.94) | 2.20 (1.00–4.83) |
| Never smokers | 117 953 | 1 230 990 | 15 525 | 1 (ref.) | 5530 | 1 (ref.) | 532 | 1 (ref.) | |||
| Former smokers with ≤20 cumulative pack-years | |||||||||||
| Current smokers | 198 284 | 2 239 574 | 39 028 | 1 (ref.) | 11 575 | 1 (ref.) | 4361 | 1 (ref.) | |||
| <5 | 4776 | 56 585 | 639 | 0.80 (0.67–0.95) | 1.25 (1.10–1.42) | 209 | 0.93 (0.74–1.18) | 1.32 (1.20–1.59) | 32 | 0.55 (0.32–0.95) | 2.68 (1.59–4.51) |
| 5 to 9 | 4124 | 52 222 | 518 | 0.74 (0.62–0.88) | 1.16 (1.02–1.32) | 157 | 0.81 (0.65–1.01) | 1.18 (0.98–1.42) | 21 | 0.41 (0.24–0.71) | 2.01 (1.22–3.31) |
| 10 to 14 | 3826 | 51 258 | 528 | 0.73 (0.61–0.88) | 1.15 (0.99–1.34) | 165 | 0.80 (0.57–1.11) | 1.15 (0.85–1.55) | 20 | 0.30 (0.19–0.46) | 1.65 (1.04–2.62) |
| 15 to 19 | 3526 | 49 956 | 399 | 0.62 (0.51–0.74) | 0.98 (0.84–1.14) | 120 | 0.69 (0.55–0.85) | 1.03 (0.85–1.23) | 17 | 0.32 (0.16–0.63) | 2.00 (1.10–3.63) |
| 20 to 24 | 2286 | 30 238 | 401 | 0.67 (0.59–0.77) | 1.07 (0.97–1.19) | 101 | 0.63 (0.50–0.80) | 0.91 (0.75–1.11) | 12 | 0.42 (0.18–1.01) | 1.75 (0.98–3.16) |
| ≥25 | 3252 | 39 892 | 822 | 0.68 (0.59–0.78) | 1.06 (0.95–1.18) | 259 | 0.77 (0.61–0.98) | 1.08 (0.92–1.28) | 28 | 0.24 (0.14–0.42) | 1.24 (0.80–1.91) |
| Never smokers | 117 953 | 1 230 990 | 15 525 | 1 (ref.) | 5530 | 1 (ref.) | 532 | 1 (ref.) | |||
All models were stratified by cohort, 5-year groups of birth year, and enrollment year and adjusted for age, education, marital status, rural/urban residence and body mass index.
Dose-response relationships between risks of death and years since smoking cessation are shown in Figure 1 and Supplementary Figure S1 (available as Supplementary data at IJE online). An increased risk of death from lung cancer among Asian men persisted beyond 26 years after smoking cessation, and the risk of dying from CVD among former smokers approached the level of never smokers after 14 years of smoking abstinence (i.e. including the null value of 1).
Figure 1.
Hazard ratios (95% CIs) of death from all causes, cardiovascular disease and lung cancer associated with tobacco smoking among Asian men: former vs. never smokers. Hazard ratios (solid line) and 95% CIs (dashed line) were estimated with stratification by cohort, birth year and enrolment year and adjustment for age, education, marital status, rural/urban residence and body mass index. Splines have four knots at 1, 5, 15 and 22 years since quitting
Among Asian women (Table 4), the number of former smokers was very limited and thus was classified into <5 vs. ≥5 years since quitting. Compared with current smokers, former smokers who quit smoking 5 or more years ago had a 17% and 36% lower risk of death from all causes [HR (95% CI) = 0.83 (0.69–1.00)] and lung cancer [0.64 (0.44–0.94)], respectively. As compared with never smokers, the risks of death from all causes, CVD and lung cancer among former smokers remained elevated after 5 or more years of cessation: the corresponding HRs (95% CIs) were 1.29 (1.12–1.48), 1.41 (1.16–1.72) and 2.64 (1.82–3.83), respectively. Dose-response relationships between risks of death and years since smoking cessation are given in Supplementary Figures S2 and S3 (available as Supplementary data at IJE online), despite unstable findings due to small numbers.
Table 4.
Hazard ratios (95% CIs)a of death from all causes, cardiovascular disease and lung cancer associated with years since quitting tobacco smoking among Asian women
| All causes |
Cardiovascular disease |
Lung cancer |
|||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Years since quitting | No. participants | Person- years | No. deaths | Former vs. current | Former vs. never | No. deaths | Former vs. current | Former vs. never | No. deaths | Former vs. current | Former vs. Never |
| Current smokers | 25 636 | 296 137 | 5484 | 1 (ref.) | 2132 | 1 (ref.) | 459 | 1 (ref.) | |||
| <5 | 1488 | 19 164 | 294 | 0.91 (0.81–1.03) | 1.42 (1.22–1.64) | 116 | 0.99 (0.82–1.20) | 1.58 (1.32–1.90) | 20 | 0.90 (0.57–1.43) | 3.40 (2.18–5.32) |
| ≥5 | 2210 | 27 847 | 449 | 0.83 (0.69–1.00) | 1.29 (1.12–1.48) | 177 | 0.90 (0.72–1.13) | 1.41 (1.16–1.72) | 30 | 0.64 (0.44–0.94) | 2.64 (1.82–3.83) |
| Never smokers | 319 402 | 4 133 106 | 38 423 | 1 (ref.) | 13 517 | 1 (ref.) | 1530 | 1 (ref.) | |||
All models were stratified by cohort, 5-year groups of birth year, and enrolment year and adjusted for age, education, marital status, rural/urban residence and body mass index.
Results from the country-specific analyses indicate that overall patterns of the cessation-mortality associations are similar across Asian countries, highlighting that our findings were not driven by any single country (Supplementary Tables S1 and S2, available as Supplementary data at IJE online). Further restricted analyses of elderly Asians who were followed up until at least age 70 or older also support the robustness of the study findings (Supplementary Tables S3 and S4, available as Supplementary data at IJE online).
Discussion
In this prospective investigation of 709 151 Asians, we found a dose-response relationship of risk reduction in deaths due to all causes, CVD and lung cancer with years after smoking cessation. Compared with never smokers, however, elevated mortality of those diseases stayed among former smokers for at least 10 to 20 years after smoking cessation. Alarmingly, among former smokers with a history of ≥20 pack-year smoking, a more than 2-fold elevated risk of lung cancer mortality was found even more than 25 years after smoking cessation. Our study provides strong evidence that adverse effects associated with tobacco smoking persist for an extended time period, beyond the time windows defined in current clinical guidelines for risk assessment of lung cancer and CVD.
Although previous studies have consistently reported a significant risk reduction in mortality with time since quitting smoking, a limited number of studies estimated the time course of risk reduction following cessation. The Nurses’ Health Study, analysing 104 519 women, reported a 13–31% reduction in all-cause, CVD and lung-cancer mortality within 5 years of quitting as compared with current smokers.20 The excess risk of death from all causes was attenuated to the level of a never smoker 20 years after quitting, and risks of death from lung cancer, respiratory disease and smoking-related cancers remained statistically significant even after 20 years of cessation.20 Similar findings were noted in the Physicians' Health Study (n = 22 071)21: although total mortality became equivalent to never smokers 20 years after quitting, the risks of death from coronary heart disease, pulmonary disease and lung cancer among former smokers declined to the level of never smokers after 20–30 years since quitting. A pooled analysis of 503 905 participants from Europe and the USA found that CVD mortality among former smokers aged ≥60 decreased in a time-dependent manner with cessation duration, but ≥20 years of abstinence was still associated with a 15% increased risk compared with never smokers.22 In the same vein, the British Doctors’ Study that followed up for 50 years highlighted that former smokers who stopped smoking at ages 35–44 had some excess risk of lung cancer mortality at their older ages of 75–84,10 indicating a prolonged smoking effect beyond several decades. Two prospective studies in China showed that the relative risk of all-cause mortality among former male smokers who quit by choice (not due to illness) <5, 5–14 and ≥15 years ago were 1.21 (1.07–1.37), 1.00 (0.90–1.11) and 0.98 (0.87–1.11), respectively, compared with never smokers.12 In several Japanese studies, the risk estimates for all-cause and CVD mortality gradually declined with time after quitting, and risk estimates of former smokers who were abstinent from smoking for about 10 to 15 years were almost equivalent to those of never smokers.13–15 Taken all together, previous studies showed that the excess all-cause mortality due to tobacco smoking diminished sooner in Asian former smokers (10–15 years after quitting) than in Western counterparts (∼20 years).
However, in the current study with a longer term of follow-up and larger sample size than previous Asian studies, we found the excess all-cause mortality due to tobacco smoking among former smokers, particularly those who had smoked ≥20 pack-years, more than 15 years after quitting, which was similar to the findings reported previously in studies conducted in the USA and European countries. We also observed that the excess lung-cancer mortality among former smokers lingered over two decades or more, which was an extended time period comparable to that observed among Westerners. Our findings suggest that a much longer time would be needed to diminish nearly all the excess risk of Asian former smokers than what was reported previously. Several analyses used results from published studies to estimate the years after quitting smoking when the excess risk became half that of current smokers and found that the risk was reduced by 50% about 4.40 years after quitting for ischaemic heart disease, 4.78 years for stroke, 9.94 years for lung cancer and 13.32 years for chronic obstructive pulmonary disease.29–32 The results from these studies support our findings, highlighting that the excess risk of tobacco smoking could remain for an extended period of time after smoking cessation. Whereas the relative risks of disease morbidity and mortality associated with tobacco smoking remain substantially lower in Asia than in Europe and North America,4,5,33 it has been suggested that the time required to halve the risk after smoking cessation may be similar between Asia and Western countries.29–32
Understanding the time course of risk reduction after smoking cessation is the first step to developing evidence-based guidelines to identify high-risk individuals who will benefit from interventions. The USPSTF currently recommends an annual low-dose computed tomography screening for smokers aged 55–80 years with a history of ≥20 pack-year smoking, who smoke currently or quit within 15 years.17,18 However, approximately half of lung cancer patients do not meet this screening criterion. We found a more than 2-fold elevated risk of dying from lung cancer among Asian former smokers who smoked ≥20 pack-years and quitted for more than 25 years. Similar findings were also reported in a recent Framingham Heart Study, which showed that former smokers had a more than 3-fold higher risk of lung cancer compared with never smokers even after 25 years since quitting.23 The underestimation of the staying power of tobacco smoking is also observed in CVD prevention guidelines. In current clinical practice, CVD risk of never vs. former smokers is generally considered as comparable after 5 years since quitting.19,34 However, we found that it would take 10 to 14 years of smoking abstinence to attenuate risk of deaths from CVD to the level of never smokers. Our findings are supported by a recent study from Western populations, in which the excess risk of CVD among former smokers may last for at least 5 to 10 years and possibly up to 25 years after cessation as compared with never smokers.24 All the findings suggest that the current clinical guidelines for lung cancer screening and CVD risk assessment lead many smokers to underestimate their risk for major smoking-attributable diseases, which may hinder the implementation of effective public health interventions for disease prevention and control. It is important that smokers should be aware of the persistence of their potential risk due to tobacco exposure for an extended time window.
This collaborative project includes multiple population-based prospective cohorts throughout Asia. Comprehensive data on lifetime smoking history, along with an extended follow-up and large sample size, allow us to quantify the time course and magnitude of mortality risk reduction in Asian former smokers without pre-existing medical conditions. However, our study has some limitations.
First, due to the lack of information, we assumed smoking behaviours were persistent throughout the follow-up period. It is possible that some quitters relapsed into smoking and some current smokers quit smoking during follow-up. Also, we could not rule out the possibility of measurement errors in self-reported smoking. All the limitations were more likely to bias the overall association towards the null. Thus, the true associations between smoking cessation and mortality outcomes may be stronger than those we observed in the current study. Second, the effect of second-hand smoke and other potential contributors in Asian populations, i.e. occupational exposure, air pollution and indoor smoke from cooking, could not be appropriately controlled due to data limitation. Also, we cannot be free of other residual confounding or unmeasured confounders in interpreting the study findings. Third, we have tried to include other forms of tobacco products and converted the amount of tobacco smoking to cigarette smoking in the analysis. However, some cohorts did not collect information on other forms of tobacco products, which might have influenced our risk estimates. Fourth, the potential effect of heterogeneous smoking patterns both among and within countries should be noted, although overall patterns of the smoking cessation-mortality associations identified in this study were consistent across countries. Finally, despite our large sample size, some subgroup analyses, e.g. female smokers (especially former smokers), heavy smokers who quit smoking >20 years ago, and South Asia, were based on a small number and thus yielded unstable estimates—some results should be interpreted with caution. In addition, most participants came from East Asia: future investigations are needed to include a large number of participants from other Asian countries and regions.
In conclusion, this large pooled analysis provides additional support for the substantial benefit of smoking cessation in disease prevention. However, the excess risk due to tobacco smoking persists over decades, particularly among heavy smokers, providing evidence to modify current clinical guidelines for lung cancer screening and CVD risk assessment in Asians. Given a low cessation rate in many Asian countries,5 public health efforts in Asia must focus on how to prevent tobacco use and encourage smokers to quit as early as possible. Full commitments to implementing smoking prevention and cessation strategies are imperative to reduce a growing health burden due to the tobacco epidemic emerging throughout Asia.
Supplementary Data
Supplementary data are available at IJE online.
Supplementary Material
Acknowledgements
The authors would like to thank all research team members and participants of each cohort study for their contribution to this research. We also thank Mr Marshal S. Younger, BA, Vanderbilt University Medical Centre, for his assistance in preparing the manuscript.
Funding
This work was supported by research funds from the Anne Potter Wilson Chair endowment and National Institutes of Health grants (UM1CA182910 to W.Z. and UM1CA173640 to X-O.S.) at Vanderbilt University Medical Centre. Participating cohort studies (funding sources) in the consortium are: China National Hypertension Survey Epidemiology Follow-up Study [CHEFS, funding sources: American Heart Association (9750612 N), NHLBI (U01-HL072507), Chinese Academy of Medical Sciences]; Shanghai Cohort Study [SCS, funding sources: NIH (R01CA0403092, R01CA144034, UM1CA182876)]; Shanghai Men’s Health Study [SMHS, funding sources: NIH (R01-CA82729 and UM1CA173640)]; Shanghai Women’s Health Study [SWHS, funding sources: NIH (R37-CA70867 and UM1CA182910)]; Korea Multi-center Cancer Cohort (KMCC, funding sources: Ministry of Education, Science and Technology, Korea, National Research Foundation of Korea grant 2009–0087452); Seoul Male Cancer Cohort [Seoul Male, funding sources: National R&D Program for Cancer Control, Ministry of Health & Welfare, Republic of Korea (0520160–1)]; Singapore Chinese Health Study [SCHS, funding sources: NIH (R01CA55069, R35CA53890, R01CA80205, R01CA144034, UM1CA182876)]; Mumbai Cohort Study (Mumbai, funding sources: International Agency for Research on Cancer, Clinical Trials Service Unit/Oxford University, World Health Organization); and Health Effects of Arsenic Longitudinal Study [HEALS, funding sources: NIH (grants P42ES010349, R01CA102484, R01CA107431)]. For the Life Span Study [LSS], the Radiation Effects Research Foundation (RERF), Hiroshima and Nagasaki, Japan, is a private, non-profit foundation funded by the Japanese Ministry of Health, Labour and Welfare (MHLW) and the U.S. Department of Energy (DOE), the latter in part through DOE Award (DE-HS0000031) to the National Academy of Sciences. This publication was supported by RERF Research Protocol RP-A03-10. Other Japanese cohorts—Three Prefecture Cohort Study Aichi (3-Prefecture Aichi), Japan Public Health Centre-based Prospective Study (JPHC1 and JPHC2), Three Prefecture Cohort Study Miyagi (3-Prefecture Miyagi), Miyagi Cohort Study (Miyagi) and Ohsaki National Health Insurance Cohort Study (Ohsaki)—are supported by the Grant-in-aid for Cancer Research, the Grant for the Third Term Comprehensive Control Research for Cancer, the Grant for Health Services, the Grant for Medical Services for Aged and Health Promotion, the Grant for Comprehensive Research on Cardiovascular and Life-style Related Diseases from the Ministry of Health, Labour and Welfare, Japan, and the Grant for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology, Japan. Japan Public Health Centre-Based Prospective Study (JPHC1 and JPHC2) are also supported by the National Cancer Centre Research and Development Fund.
Data availability
Data access can be through permission from the Asia Cohort Consortium only; please find more details on [htps://www.asiacohort.org/about/workingwith/index.html] and send any enquiries to the Asia Cohort Consortium Coordinating Centre at [cc@asiacohort.org].
Additional Authors
Rashedul Islam,2,3 Mangesh S Pednekar,6 Dongfeng Gu,21 Norie Sawada,4 Hui Cai,1 Renwei Wang,9 Eric Grant,12 Shu Zhang,14 Seiki Kanemura,14 Hidemi Ito,22,23 Myung-Hee Shin,24 Habibul Ahsan,25 Paolo Boffetta,26,27 Kee Seng Chia,11 You-Lin Qiao28 and Nathaniel Rothman29
21 Fuwai Hospital, National Centre for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China, 22Division of Molecular & Clinical Epidemiology, Aichi Cancer Centre Research Institute, Nagoya, Japan, 23Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan, 24Department of Social and Preventive Medicine, Sungkyunkwan University School of Medicine, Seoul, South Korea, 25Department of Public Health Sciences, University of Chicago, Chicago, IL, USA, 26Stony Brook Cancer Center, Stony Brook University, Stony Brook, NY, USA, 27Department of Medical and Surgical Sciences, University of Bologna, Bologna, Italy, 28Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People’s Republic of China, 29Division of Cancer Epidemiology & Genetics, Occupational and Environmental Epidemiology Branch, National Cancer Institute, Bethesda, MD, USA
Author Contributions
W.Z. conceived of, designed and supervised the study. J.J.Y., D.Y., X.O.S., W.W. and W.Z. contributed to data analysis, data interpretation and writing the manuscript. X.O.S., S.R., S.A., E.S., R.I., P.C.G., J.H., S.T., Y.T.G., J.M.Y., W.P.K., A.S., Y.T., I.T., Y.S., K.M., Y.O.A., S.K.P., Y.C., M.S.P., D.G., N.S., H.C., R.W., E.G., S.Z., S.K., H.I., M.H.S., H.A., P.B., K.S.C., Y.L.Q., N..R, M.I., D.K. and W.Z. contributed to data collection and provided study materials and administrative/technical support. All authors contributed to critical revision of the manuscript for important intellectual content and approved the final version of the manuscript.
Conflict of Interest
None declared.
References
- 1.GBD 2017 Risk Factor Collaborators. Global, regional, and national comparative risk assessment of 84 behavioural, environmental and occupational, and metabolic risks or clusters of risks for 195 countries and territories, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. Lancet 2018;392:1923–94. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.GBD 2015 Tobacco Collaborators. Smoking prevalence and attributable disease burden in 195 countries and territories, 1990-2015: a systematic analysis from the Global Burden of Disease Study 2015. Lancet 2017;389:1885–906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3. Jha P, Peto R.. Global effects of smoking, of quitting, and of taxing tobacco. N Engl J Med 2014;370:60–68. [DOI] [PubMed] [Google Scholar]
- 4. Zheng W, McLerran DF, Rolland BA. et al. Burden of total and cause-specific mortality related to tobacco smoking among adults aged ≥45 years in Asia: a pooled analysis of 21 cohorts. PLoS Med 2014;11:e1001631. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5. Yang JJ, Yu D, Wen W. et al. Tobacco smoking and mortality in Asia: a pooled meta-analysis. JAMA Netw Open 2019;2:e191474. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6. Yang JJ, Yu D, Shu X-O. et al. Quantifying the association of low-intensity and late initiation of tobacco smoking with total and cause-specific mortality in Asia. Tob Control. 2020. Jun 16. doi: 10.1136/tobaccocontrol-2019-055412. Online ahead of print. [DOI] [PubMed] [Google Scholar]
- 7. Jha P, Ramasundarahettige C, Landsman V. et al. 21st-century hazards of smoking and benefits of cessation in the United States. N Engl J Med 2013;368:341–50. [DOI] [PubMed] [Google Scholar]
- 8. Thun MJ, Carter BD, Feskanich D. et al. 50-year trends in smoking-related mortality in the United States. N Engl J Med 2013;368:351–64. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9. Pirie K, Peto R, Reeves GK, Green J, Beral V; Million Women Study Collaborators. The 21st century hazards of smoking and benefits of stopping: a prospective study of one million women in the UK. Lancet 2013;381:133–41. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Doll R, Peto R, Boreham J, Sutherland I.. Mortality in relation to smoking: 50 years’ observations on male British doctors. BMJ 2004;328:1519. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11. Jha P. The hazards of smoking and the benefits of cessation: a critical summation of the epidemiological evidence in high-income countries. eLife 2020;9:e49979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12. Chen Z, Peto R, Zhou M. et al. Contrasting male and female trends in tobacco-attributed mortality in China: evidence from successive nationwide prospective cohort studies. Lancet 2015;386:1447–56. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13. Ikeda F, Ninomiya T, Doi Y. et al. Smoking cessation improves mortality in Japanese men: the Hisayama study. Tob Control 2012;21:416–21. [DOI] [PubMed] [Google Scholar]
- 14. Iso H, Date C, Yamamoto A. et al. ; JACC Study Group. Smoking cessation and mortality from cardiovascular disease among Japanese men and women: the JACC Study. Am J Epidemiol 2005;161:170–79. [DOI] [PubMed] [Google Scholar]
- 15. Honjo K, Iso H, Tsugane S. et al. The effects of smoking and smoking cessation on mortality from cardiovascular disease among Japanese: pooled analysis of three large-scale cohort studies in Japan. Tob Control 2010;19:50–57. [DOI] [PubMed] [Google Scholar]
- 16. Lim SH, Tai BC, Yuan J-M, Yu MC, Koh W-P.. Smoking cessation and mortality among middle-aged and elderly Chinese in Singapore: the Singapore Chinese Health Study. Tob Control 2013;22:235–40. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17. Ong MBH. USPSTF broadens age range, risk threshold in new recommendation for lung cancer screening. Cancer Lett 2020;46:10–12. [Google Scholar]
- 18. Moyer VA; U.S. Preventive Services Task Force. Screening for lung cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med 2014;160:330–38. [DOI] [PubMed] [Google Scholar]
- 19. Lloyd-Jones DM, Huffman MD, Karmali KN. et al. Estimating longitudinal risks and benefits from cardiovascular preventive therapies among Medicare patients: the Million Hearts Longitudinal ASCVD risk assessment tool: a special report from the American Heart Association and American College of Cardiology. Circulation 2017;135:e793–813 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20. Kenfield SA, Stampfer MJ, Rosner BA, Colditz GA.. Smoking and smoking cessation in relation to mortality in women. JAMA 2008;299:2037–47. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21. Cao Y, Kenfield S, Song Y. et al. Cigarette smoking cessation and total and cause-specific mortality: a 22-year follow-up study among US male physicians. Arch Intern Med 2011;171:1956–59. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22. Mons U, Müezzinler A, Gellert C. et al. ; CHANCES Consortium. Impact of smoking and smoking cessation on cardiovascular events and mortality among older adults: meta-analysis of individual participant data from prospective cohort studies of the CHANCES consortium. BMJ 2015;350:h1551. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23. Tindle HA, Stevenson Duncan M, Greevy RA. et al. Lifetime smoking history and risk of lung cancer: results from the Framingham Heart Study. J Natl Cancer Inst 2018;110:1201–07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24. Duncan MS, Freiberg MS, Greevy RA, Kundu S, Vasan RS, Tindle HA.. Association of smoking cessation with subsequent risk of cardiovascular disease. JAMA 2019;322:642–50. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25. Zheng W, McLerran DF, Rolland B. et al. Association between body-mass index and risk of death in more than 1 million Asians. N Engl J Med 2011;364:719–29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26. Gupta PC, Pednekar MS, Parkin D, Sankaranarayanan R.. Tobacco associated mortality in Mumbai (Bombay) India. Results of the Bombay Cohort Study. Int J Epidemiol 2005;34:1395–402. [DOI] [PubMed] [Google Scholar]
- 27. Burke DL, Ensor J, Riley RD.. Meta-analysis using individual participant data: one-stage and two-stage approaches, and why they may differ. Stat Med 2017;36:855–75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. DerSimonian R, Laird N.. Meta-analysis in clinical trials. Control Clin Trials 1986;7:177–88. [DOI] [PubMed] [Google Scholar]
- 29. Fry JS, Lee PN, Forey BA, Coombs KJ.. How rapidly does the excess risk of lung cancer decline following quitting smoking? A quantitative review using the negative exponential model. Regul Toxicol Pharmacol 2013;67:13–26. [DOI] [PubMed] [Google Scholar]
- 30. Lee PN, Fry JS, Thornton AJ.. Estimating the decline in excess risk of cerebrovascular disease following quitting smoking—a systematic review based on the negative exponential model. Regul Toxicol Pharmacol 2014;68:85–95. [DOI] [PubMed] [Google Scholar]
- 31. Lee PN, Fry JS, Hamling JS.. Using the negative exponential distribution to quantitatively review the evidence on how rapidly the excess risk of ischaemic heart disease declines following quitting smoking. Regul Toxicol Pharmacol 2012;64:51–67. [DOI] [PubMed] [Google Scholar]
- 32. Lee PN, Fry JS, Forey BA.. Estimating the decline in excess risk of chronic obstructive pulmonary disease following quitting smoking—a systematic review based on the negative exponential model. Regul Toxicol Pharmacol 2014;68:231–39. [DOI] [PubMed] [Google Scholar]
- 33. Lee PN, Forey BA, Coombs KJ.. Systematic review with meta-analysis of the epidemiological evidence in the 1900s relating smoking to lung cancer. BMC Cancer 2012;12:385. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34. D’Agostino RB, Vasan RS, Pencina MJ. et al. General cardiovascular risk profile for use in primary care: the Framingham Heart Study. Circulation 2008;117:743–53. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data access can be through permission from the Asia Cohort Consortium only; please find more details on [htps://www.asiacohort.org/about/workingwith/index.html] and send any enquiries to the Asia Cohort Consortium Coordinating Centre at [cc@asiacohort.org].

