Association of cigarette smoking, smoking cessation with the risk of cardiometabolic multimorbidity in the UK Biobank

Author:

Zhang Shuo,Jiang Zhou,Zhang Hao,Liu Yuxin,Qi Jike,Yan Yu,Wang Ting,Zeng Ping

Abstract

Abstract 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 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 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− 118) from health to FCMD, 1.40 (1.33 ∼ 1.47) vs. 1.09 (1.05 ∼ 1.14) (P = 1.50 × 10− 18) from FCMD to CMM, and 2.87 (2.72 ∼ 3.03) vs. 1.38 (1.32 ∼ 1.45) (P < 0.001) from health, 2.16 (1.98 ∼ 2.35) vs. 1.25 (1.16 ∼ 1.34) (P = 1.18 × 10− 46) from FCMD, 2.02 (1.79 ∼ 2.28) vs. 1.22 (1.09 ∼ 1.35) (P = 3.93 × 10− 17) from CMM to death; whereas quitting smoking reduced the risk attributed to cigarette smoking by approximately 76.5% across all transitions. Reduced risks of smoking cessation were also identified when age at quitting smoking was used as a proxy for former smokers. 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.

Funder

National Natural Science Foundation of China

Youth Foundation of Humanity and Social Science funded by Ministry of Education of China

Natural Science Foundation of Jiangsu Province of China

China Postdoctoral Science Foundation

QingLan Research Project of Jiangsu Province for Young and Middle-aged Academic Leaders

Six Talent Peaks Project in Jiangsu Province

Training Project for Youth Teams of Science and Technology Innovation at Xuzhou Medical University

Publisher

Springer Science and Business Media LLC

Reference57 articles.

1. 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.

2. 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.

3. 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.

4. 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.

5. 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.

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