Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank.
Cardiometabolic multimorbidity
Cigarette smoking
Multi-state model
Smoking cessation
UK Biobank
Journal
BMC public health
ISSN: 1471-2458
Titre abrégé: BMC Public Health
Pays: England
ID NLM: 100968562
Informations de publication
Date de publication:
16 Jul 2024
16 Jul 2024
Historique:
received:
19
10
2023
accepted:
11
07
2024
medline:
17
7
2024
pubmed:
17
7
2024
entrez:
16
7
2024
Statut:
epublish
Résumé
To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM. This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM. During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10 Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.
Sections du résumé
BACKGROUND
BACKGROUND
To investigate the association between cigarette smoking, smoking cessation and the trajectory of cardiometabolic multimorbidity (CMM), and further to examine the association of age at smoking initiation and smoking cessation with CMM.
METHODS
METHODS
This study included 298,984 UK Biobank participants without cardiometabolic diseases (CMDs) (including type 2 diabetes, coronary heart diseases, stroke, and hypertension) at baseline. Smoking status was categorized into former, current, and never smokers, with age at smoking initiation and smoking cessation as a proxy for current and former smokers. The multi-state model was performed to evaluate the association between cigarette smoking, smoking cessation and CMM.
RESULTS
RESULTS
During a median follow-up of 13.2 years, 59,193 participants developed first cardiometabolic disease (FCMD), 14,090 further developed CMM, and 16,487 died. Compared to former smokers, current smokers had higher risk at all transitions, with hazard ratio (95% confidence interval) = 1.59 (1.55 ∼ 1.63) vs. 1.18 (1.16 ∼ 1.21) (P = 1.48 × 10
CONCLUSIONS
CONCLUSIONS
Cigarette smoking was associated with a higher risk of CMM across all transitions; however, smoking cessation, especially before the age of 35, was associated with a significant decrease in CMM risk attributed to cigarette smoking.
Identifiants
pubmed: 39014423
doi: 10.1186/s12889-024-19457-y
pii: 10.1186/s12889-024-19457-y
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
1910Subventions
Organisme : National Natural Science Foundation of China
ID : 82173630
Organisme : Youth Foundation of Humanity and Social Science funded by Ministry of Education of China
ID : 18YJC910002
Organisme : Natural Science Foundation of Jiangsu Province of China
ID : BK20181472
Organisme : China Postdoctoral Science Foundation
ID : 2018M630607
Organisme : Six Talent Peaks Project in Jiangsu Province
ID : WSN-087
Organisme : Training Project for Youth Teams of Science and Technology Innovation at Xuzhou Medical University
ID : TD202008
Informations de copyright
© 2024. The Author(s).
Références
Dai X, Gil GF, Reitsma MB, Ahmad NS, Anderson JA, Bisignano C, Carr S, Feldman R, Hay SI, He J, et al. Health effects associated with smoking: a Burden of Proof study. Nat Med. 2022;28(10):2045–55.
pubmed: 36216941
pmcid: 9556318
doi: 10.1038/s41591-022-01978-x
Reitsma MB, Kendrick PJ, Ababneh E, Abbafati C, Abbasi-Kangevari M, Abdoli A, Abedi A, Abhilash ES, Abila DB, Aboyans V, et al. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990–2019: a systematic analysis from the global burden of Disease Study 2019. Lancet. 2021;397(10292):2337–60.
doi: 10.1016/S0140-6736(21)01169-7
National Center for Chronic, Disease P. Health Promotion Office on S, Health. Reports of the Surgeon General. The Health consequences of Smoking—50 years of progress: a report of the Surgeon General. edn. Atlanta (GA): Centers for Disease Control and Prevention (US); 2014.
European Society of Cardiology (ESC). Smoking is even more damaging to the heart than previously thought. 2022. https://www.escardio.org/The-ESC/Press-Office/Press-releases/Smoking-is-even-more-damaging-to-the-heart-than-previously-thought . Accessed 30 Aug 2022.
Stanaway JD, Afshin A, Gakidou E, Lim SS, Abate D, Abate KH, Abbafati C, Abbasi N, Abbastabar H, Abd-Allah F, et al. 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(10159):1923–94.
doi: 10.1016/S0140-6736(18)32225-6
Goldenberg M, Danovitch I, IsHak WW. Quality of life and smoking. Am J Addict. 2014;23(6):540–62.
pubmed: 25255868
doi: 10.1111/j.1521-0391.2014.12148.x
Ding N, Sang Y, Chen J, Ballew SH, Kalbaugh CA, Salameh MJ, Blaha MJ, Allison M, Heiss G, Selvin E, et al. Cigarette smoking, Smoking Cessation, and long-term risk of 3 major atherosclerotic diseases. J Am Coll Cardiol. 2019;74(4):498–507.
pubmed: 31345423
pmcid: 6662625
doi: 10.1016/j.jacc.2019.05.049
Jeong SM, Park J, Han K, Yoo J, Yoo JE, Lee CM, Jung W, Lee J, Kim SY, Shin DW. Association of Changes in Smoking Intensity with Risk of Dementia in Korea. JAMA Netw Open. 2023;6(1):e2251506.
pubmed: 36656579
pmcid: 9857334
doi: 10.1001/jamanetworkopen.2022.51506
Zhang M, Yang L, Wang L, Jiang Y, Huang Z, Zhao Z, Zhang X, Li Y, Liu S, Li C, et al. Trends in smoking prevalence in urban and rural China, 2007 to 2018: findings from 5 consecutive nationally representative cross-sectional surveys. PLoS Med. 2022;19(8):e1004064.
pubmed: 36006870
pmcid: 9409540
doi: 10.1371/journal.pmed.1004064
Thomson B, Rojas NA, Lacey B, Burrett JA, Varona-Pérez P, Martínez MC, Lorenzo-Vázquez E, Constantén SB, Morales Rigau JM et al. Hernández López OJ. Association of childhood smoking and adult mortality: prospective study of 120 000 Cuban adults. Lancet Glob Health. 2020, 8(6):e850-e857.
Akter S, Okazaki H, Kuwahara K, Miyamoto T, Murakami T, Shimizu C, Shimizu M, Tomita K, Nagahama S, Eguchi M, et al. Smoking, Smoking Cessation, and the risk of type 2 diabetes among Japanese adults: Japan Epidemiology Collaboration on Occupational Health Study. PLoS ONE. 2015;10(7):e0132166.
pubmed: 26200457
pmcid: 4511672
doi: 10.1371/journal.pone.0132166
Duncan MS, Freiberg MS, Greevy RA Jr., Kundu S, Vasan RS, Tindle HA. Association of Smoking Cessation with subsequent risk of Cardiovascular Disease. JAMA. 2019;322(7):642–50.
pubmed: 31429895
pmcid: 6704757
doi: 10.1001/jama.2019.10298
Pan A, Wang Y, Talaei M, Hu FB, Wu T. Relation of active, passive, and quitting smoking with incident type 2 diabetes: a systematic review and meta-analysis. Lancet Diabetes Endocrinol. 2015;3(12):958–67.
pubmed: 26388413
pmcid: 4656094
doi: 10.1016/S2213-8587(15)00316-2
Samadian F, Dalili N, Jamalian A. Lifestyle modifications to prevent and control hypertension. Iran J Kidney Dis. 2016;10(5):237–63.
pubmed: 27721223
Freisling H, Viallon V, Lennon H, Bagnardi V, Ricci C, Butterworth AS, Sweeting M, Muller D, Romieu I, Bazelle P, et al. Lifestyle factors and risk of multimorbidity of cancer and cardiometabolic diseases: a multinational cohort study. BMC Med. 2020;18(1):5.
pubmed: 31918762
pmcid: 6953215
doi: 10.1186/s12916-019-1474-7
Fortin M, Haggerty J, Almirall J, Bouhali T, Sasseville M, Lemieux M. Lifestyle factors and multimorbidity: a cross sectional study. BMC Public Health. 2014;14:686.
pubmed: 24996220
pmcid: 4096542
doi: 10.1186/1471-2458-14-686
Jha P, Ramasundarahettige C, Landsman V, Rostron B, Thun M, Anderson RN, McAfee T, Peto R. 21st-century hazards of smoking and benefits of cessation in the United States. N Engl J Med. 2013;368(4):341–50.
pubmed: 23343063
doi: 10.1056/NEJMsa1211128
Chan KH, Wright N, Xiao D, Guo Y, Chen Y, Du H, Yang L, Millwood IY, Pei P, Wang J, et al. Tobacco smoking and risks of more than 470 diseases in China: a prospective cohort study. Lancet Public Health. 2022;7(12):e1014–26.
pubmed: 36462513
pmcid: 7613927
doi: 10.1016/S2468-2667(22)00227-4
GBD 2019 Cancer Risk Factors Collaborators. The global burden of cancer attributable to risk factors, 2010-19: a systematic analysis for the global burden of Disease Study 2019. Lancet. 2022;400(10352):563–91.
doi: 10.1016/S0140-6736(22)01438-6
Sun Q, Yu D, Fan J, Yu C, Guo Y, Pei P, Yang L, Chen Y, Du H, Yang X, et al. Healthy lifestyle and life expectancy at age 30 years in the Chinese population: an observational study. Lancet Public Health. 2022;7(12):e994–1004.
pubmed: 35926549
pmcid: 7615002
doi: 10.1016/S2468-2667(22)00110-4
Di Angelantonio E, Kaptoge S, Wormser D, Willeit P, Butterworth AS, Bansal N, O’Keeffe LM, Gao P, Wood AM, Burgess S, et al. Association Cardiometabolic Multimorbidity Mortal JAMA. 2015;314(1):52–60.
Zhang D, Tang X, Shen P, Si Y, Liu X, Xu Z, Wu J, Zhang J, Lu P, Lin H, et al. Multimorbidity of cardiometabolic diseases: prevalence and risk for mortality from one million Chinese adults in a longitudinal cohort study. BMJ Open. 2019;9(3):e024476.
pubmed: 30833320
pmcid: 6443196
doi: 10.1136/bmjopen-2018-024476
Agborsangaya CB, Lau D, Lahtinen M, Cooke T, Johnson JA. Multimorbidity prevalence and patterns across socioeconomic determinants: a cross-sectional survey. BMC Public Health. 2012;12:201.
pubmed: 22429338
pmcid: 3353224
doi: 10.1186/1471-2458-12-201
Academy of Medical Sciences. Multimorbidity: A Priority for Global Health Research. London: Academy of Medical Sciences. 2018. https://acmedsci.ac.uk/file-download/82222577 . Accessed April 19, 2023.
Smith SM, Soubhi H, Fortin M, Hudon C, O’Dowd T. Managing patients with multimorbidity: systematic review of interventions in primary care and community settings. BMJ. 2012;345:e5205.
pubmed: 22945950
pmcid: 3432635
doi: 10.1136/bmj.e5205
Canoy D, Tran J, Zottoli M, Ramakrishnan R, Hassaine A, Rao S, Li Y, Salimi-Khorshidi G, Norton R, Rahimi K. Association between cardiometabolic disease multimorbidity and all-cause mortality in 2 million women and men registered in UK general practices. BMC Med. 2021;19(1):258.
pubmed: 34706724
pmcid: 8555122
doi: 10.1186/s12916-021-02126-x
Sudlow C, Gallacher J, Allen N, Beral V, Burton P, Danesh J, Downey P, Elliott P, Green J, Landray M, et al. UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLoS Med. 2015;12(3):e1001779.
pubmed: 25826379
pmcid: 4380465
doi: 10.1371/journal.pmed.1001779
Han Y, Hu Y, Yu C, Guo Y, Pei P, Yang L, Chen Y, Du H, Sun D, Pang Y, et al. Lifestyle, cardiometabolic disease, and multimorbidity in a prospective Chinese study. Eur Heart J. 2021;42(34):3374–84.
pubmed: 34333624
pmcid: 8423468
doi: 10.1093/eurheartj/ehab413
Jiang Z, Zhang S, Chen K, Wu Y, Zeng P, Wang T. Long-term influence of air pollutants on morbidity and all-cause mortality of cardiometabolic multi-morbidity: a cohort analysis of the UK Biobank participants. Environ Res. 2023:116873.
Thomson B, Emberson J, Lacey B, Lewington S, Peto R, Jemal A, Islami F. Association between Smoking, Smoking Cessation, and mortality by race, ethnicity, and sex among US adults. JAMA Netw Open. 2022;5(10):e2231480.
pubmed: 36279139
pmcid: 9593233
doi: 10.1001/jamanetworkopen.2022.31480
Dare S, Mackay DF, Pell JP. Relationship between smoking and obesity: a cross-sectional study of 499,504 middle-aged adults in the UK general population. PLoS ONE. 2015;10(4):e0123579.
pubmed: 25886648
pmcid: 4401671
doi: 10.1371/journal.pone.0123579
Erzurumluoglu AM, Liu M, Jackson VE, Barnes DR, Datta G, Melbourne CA, Young R, Batini C, Surendran P, Jiang T, et al. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Mol Psychiatry. 2020;25(10):2392–409.
pubmed: 30617275
doi: 10.1038/s41380-018-0313-0
Xu HR, Zhang YH, Ngo TL, Yang QH, Du SH, Wang XQ. Association between smoking and incident back pain: a prospective cohort study with 438 510 participants. J Glob Health. 2023;13:04152.
pubmed: 37988369
pmcid: 10663706
doi: 10.7189/jogh.13.04152
Office for National Statistics. Median Gross Income, All Households 1977 to Financial Year Ending 2016. 2017. https://www.ons.gov.uk/peoplepopulationandcommunity/personalandhouseholdfinances/incomeandwealth/adhocs/007767mediangrossincomeallhouseholds1997tofinancialyearending2016 . Accessed Nov 23, 2017.
Lee PH, Macfarlane DJ, Lam TH, Stewart SM. Validity of the International Physical Activity Questionnaire Short Form (IPAQ-SF): a systematic review. Int J Behav Nutr Phys Act. 2011;8:115.
pubmed: 22018588
pmcid: 3214824
doi: 10.1186/1479-5868-8-115
Wang M, Zhou T, Song Y, Li X, Ma H, Hu Y, Heianza Y, Qi L. Joint exposure to various ambient air pollutants and incident heart failure: a prospective analysis in UK Biobank. Eur Heart J. 2021;42(16):1582–91.
pubmed: 33527989
pmcid: 8060055
doi: 10.1093/eurheartj/ehaa1031
van Buuren S, Groothuis-Oudshoorn K. Mice: multivariate imputation by chained equations in R. J Stat Softw. 2011;45(3):1–67.
doi: 10.18637/jss.v045.i03
Schoenfeld D. Partial residuals for the proportional hazards regression model. Biometrika. 1982;69(1):239–41.
doi: 10.1093/biomet/69.1.239
Putter H, Fiocco M, Geskus RB. Tutorial in biostatistics: competing risks and multi-state models. Stat Med. 2007;26(11):2389–430.
pubmed: 17031868
doi: 10.1002/sim.2712
Liang T, Xie C, Lv B, Su L, Long J, Liu S, Huang X, Pei P, Pan R, Lan J. Age at smoking initiation and smoking cessation influence the incidence of stroke in China: a 10-year follow-up study. J Thromb Thrombolysis. 2023;56(1):175–87.
pubmed: 37099076
doi: 10.1007/s11239-023-02812-y
Luo H, Zhang Q, Yu K, Meng X, Kan H, Chen R. Long-term exposure to ambient air pollution is a risk factor for trajectory of cardiometabolic multimorbidity: a prospective study in the UK Biobank. EBioMedicine. 2022;84:104282.
pubmed: 36174399
pmcid: 9520206
doi: 10.1016/j.ebiom.2022.104282
Xie H, Li J, Zhu X, Li J, Yin J, Ma T, Luo Y, He L, Bai Y, Zhang G, et al. Association between healthy lifestyle and the occurrence of cardiometabolic multimorbidity in hypertensive patients: a prospective cohort study of UK Biobank. Cardiovasc Diabetol. 2022;21(1):199.
pubmed: 36183084
pmcid: 9526960
doi: 10.1186/s12933-022-01632-3
Altman DG, Bland JM. Interaction revisited: the difference between two estimates. BMJ. 2003;326(7382):219.
pubmed: 12543843
pmcid: 1125071
doi: 10.1136/bmj.326.7382.219
Song Q, Zhou T, Sun D, Ma H, Li X, Heianza Y, Qi L. Panoramic smoking burden and genetic susceptibility in relation to all-cause and cause-specific mortality: a prospective study in UK Biobank. Addiction. 2022;117(4):1062–70.
pubmed: 34605583
doi: 10.1111/add.15711
Kim CY, Lee CM, Lee S, Yoo JE, Lee H, Park HE, Han K, Choi SY. The Association of Smoking Status and Clustering of Obesity and depression on the risk of early-onset Cardiovascular Disease in Young adults: a Nationwide Cohort Study. Korean Circ J. 2023;53(1):17–30.
pubmed: 36479644
doi: 10.4070/kcj.2022.0179
Huxley RR, Yatsuya H, Lutsey PL, Woodward M, Alonso A, Folsom AR. Impact of age at smoking initiation, dosage, and time since quitting on cardiovascular disease in African americans and whites: the atherosclerosis risk in communities study. Am J Epidemiol. 2012;175(8):816–26.
pubmed: 22396389
pmcid: 3390013
doi: 10.1093/aje/kwr391
Finan LJ, Lipperman-Kreda S, Abadi M, Grube JW, Kaner E, Balassone A, Gaidus A. Tobacco outlet density and adolescents’ cigarette smoking: a meta-analysis. Tob Control. 2019;28(1):27–33.
pubmed: 29519934
Vos T, Lim SS, Abbafati C, Abbas KM, Abbasi M, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, et al. Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of Disease Study 2019. Lancet. 2020;396(10258):1204–22.
doi: 10.1016/S0140-6736(20)30925-9
Zhang YB, Chen C, Pan XF, Guo J, Li Y, Franco OH, Liu G, Pan A. Associations of healthy lifestyle and socioeconomic status with mortality and incident cardiovascular disease: two prospective cohort studies. BMJ. 2021;373:n604.
pubmed: 33853828
pmcid: 8044922
doi: 10.1136/bmj.n604
Han H, Cao Y, Feng C, Zheng Y, Dhana K, Zhu S, Shang C, Yuan C, Zong G. Association of a healthy lifestyle with all-cause and cause-specific mortality among individuals with type 2 diabetes: a prospective study in UK Biobank. Diabetes Care. 2022;45(2):319–29.
pubmed: 34857534
doi: 10.2337/dc21-1512
Dhana K, Franco OH, Ritz EM, Ford CN, Desai P, Krueger KR, Holland TM, Dhana A, Liu X, Aggarwal NT, et al. Healthy lifestyle and life expectancy with and without Alzheimer’s dementia: population based cohort study. BMJ. 2022;377:e068390.
pubmed: 35418416
pmcid: 9006322
doi: 10.1136/bmj-2021-068390
King BM. The influence of Social Desirability on sexual behavior surveys: a review. Arch Sex Behav. 2022;51(3):1495–501.
pubmed: 35142972
pmcid: 8917098
doi: 10.1007/s10508-021-02197-0
Newsom JT, Huguet N, McCarthy MJ, Ramage-Morin P, Kaplan MS, Bernier J, McFarland BH, Oderkirk J. Health behavior change following chronic illness in middle and later life. J Gerontol B Psychol Sci Soc Sci. 2012;67(3):279–88.
pubmed: 21983040
doi: 10.1093/geronb/gbr103
Sun Q, Hu Y, Yu C, Guo Y, Pei P, Yang L, Chen Y, Du H, Sun D, Pang Y, et al. Healthy lifestyle and life expectancy free of major chronic diseases at age 40 in China. Nat Hum Behav. 2023;7(9):1542–50.
doi: 10.1038/s41562-023-01624-7
Fry A, Littlejohns TJ, Sudlow C, Doherty N, Adamska L, Sprosen T, Collins R, Allen NE. Comparison of Sociodemographic and Health-related characteristics of UK Biobank participants with those of the General Population. Am J Epidemiol. 2017;186(9):1026–34.
pubmed: 28641372
pmcid: 5860371
doi: 10.1093/aje/kwx246
Wang H, Abbas KM, Abbasifard M, Abbasi-Kangevari M, Abbastabar H, Abd-Allah F, Abdelalim A, Abolhassani H, Abreu LG, Abrigo MRM, et al. Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the global burden of Disease Study 2019. Lancet. 2020;396(10258):1160–203.
doi: 10.1016/S0140-6736(20)30977-6
Murray CJL, Aravkin AY, Zheng P, Abbafati C, Abbas KM, Abbasi-Kangevari M, Abd-Allah F, Abdelalim A, Abdollahi M, Abdollahpour I, et al. Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the global burden of Disease Study 2019. Lancet. 2020;396(10258):1223–49.
doi: 10.1016/S0140-6736(20)30752-2