Effects of bidi smoking on all-cause mortality and cardiorespiratory outcomes in men from south Asia: an observational community-based substudy of the.

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Effects of bidi smoking on all-cause mortality and cardiorespiratory outcomes in men from south Asia: an observational community-based substudy of the Prospective Urban Rural Epidemiology Study (PURE)  Dr MyLinh Duong, MBBS, Sumathy Rangarajan, MSc, Xiaohe Zhang, MSc, Prof Kieran Killian, PhD, Prem Mony, MD, Sumathi Swaminathan, PhD, Ankalmadagu Venkatsubbareddy Bharathi, PhD, Prof Sanjeev Nair, MD, Prof Krishnapillai Vijayakumar, MD, Indu Mohan, MD, Rajeev Gupta, PhD, Deepa Mohan, PhD, Shanthi Rani, PhD, Prof Viswanathan Mohan, MD, Romaina Iqbal, PhD, Khawar Kazmi, MD, Prof Omar Rahman, DSc, Rita Yusuf, PhD, Lakshmi Venkata Maha Pinnaka, MD, Prof Rajesh Kumar, MD, Prof Paul O'Byrne, MB, Prof Salim Yusuf, DPhil  The Lancet Global Health  Volume 5, Issue 2, Pages e168-e176 (February 2017) DOI: 10.1016/S2214-109X(17)30004-9 Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 1 Participant selection for the substudy PURE=Prospective Urban Rural Epidemiology Study. *Participants with poor-quality lung function data were those with less than two measurements of forced expiratory volume in 1 s (FEV1) or forced vital capacity (FVC), or with variability between two the highest FEV1 or FVC measurements of >200 mL. †Participants with self-reported diagnoses of cardiorespiratory disease, stroke, cancer, tuberculosis, or HIV infection at baseline were excluded from the analysis of follow-up events. The Lancet Global Health 2017 5, e168-e176DOI: (10.1016/S2214-109X(17)30004-9) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 2 Self-reported cardiorespiratory symptoms at baseline Self-reported baseline symptoms defined as those occurring at least weekly in the 6 months before the baseline survey. p value for association examined the order effect in effect size by different smoking groups (as categorical variable). Error bars represent 95% CI. The Lancet Global Health 2017 5, e168-e176DOI: (10.1016/S2214-109X(17)30004-9) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 3 Mean adjusted FEV1 and FEV1/FVC ratio by age group Multilevel marginal linear regression was used to model forced expiratory volume in 1 s (FEV1) by age group and smoking category with height, weight, centre, and education as covariates (reference: non-smokers) and community as a random effect. A similar model was used for the comparison of FEV1/forced vital capacity (FVC) ratio by age group and smoking category with age, height, and centre as covariates (reference: non-smokers) and community as a random effect. The Lancet Global Health 2017 5, e168-e176DOI: (10.1016/S2214-109X(17)30004-9) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions

Figure 4 Respiratory events, cardiovascular events, and deaths during follow-up New cardiovascular events (cardiovascular-related death, myocardial infarction, heart failure, stroke, and cardiovascular-related hospital admission), respiratory events (chronic obstructive pulmonary disease, pneumonia, tuberculosis, asthma), and all-cause mortality at a mean follow-up of 5·6 years. Hazard ratios (relative to non-smokers) for all-cause mortality and cardiovascular events were estimated with a marginal Cox proportional hazards model with age, education, asset index, body-mass index, handgrip, self-reported diabetes, hypertension, INTERHEART risk score, and centre as fixed effects and community as a random effect. For respiratory events, the same model was used but without INTERHEART risk score, diabetes, and hypertension as covariates in the model. p value for association examined the order effect in effect size by different smoking groups (as categorical variable). Error bars represent 95% CI. The Lancet Global Health 2017 5, e168-e176DOI: (10.1016/S2214-109X(17)30004-9) Copyright © 2017 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY-NC-ND license Terms and Conditions