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Body-mass index, blood pressure, and cause-specific mortality in India: a prospective cohort study of 500 810 adults  Vendhan Gajalakshmi, PhD, Ben Lacey,

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Presentation on theme: "Body-mass index, blood pressure, and cause-specific mortality in India: a prospective cohort study of 500 810 adults  Vendhan Gajalakshmi, PhD, Ben Lacey,"— Presentation transcript:

1 Body-mass index, blood pressure, and cause-specific mortality in India: a prospective cohort study of 500 810 adults  Vendhan Gajalakshmi, PhD, Ben Lacey, DPhil, Vendhan Kanimozhi, FRCR, Paul Sherliker, BA, Prof Richard Peto, FRS, Sarah Lewington, DPhil  The Lancet Global Health  Volume 6, Issue 7, Pages e787-e794 (July 2018) DOI: /S X(18) Copyright © 2018 The Author(s). Published by Elsevier Ltd.This is an Open Access article under the CC BY 4.0 license Terms and Conditions

2 Figure 1 Usual systolic blood pressure vs cardiac (A) and stroke (B) mortality at ages 35–69 years in Chennai, India Rate ratios were adjusted for major confounders (age, sex, education, socioeconomic status, smoking, and alcohol) and body-mass index, and omitted the first 2 years of follow-up. Exclusions are as per table 1. For each systolic blood pressure category, the area of the square is inversely proportional to the variance of the category-specific log risk, which also determines the 95% CI (represented by error bars). The Lancet Global Health 2018 6, e787-e794DOI: ( /S X(18) ) Copyright © 2018 The Author(s). Published by Elsevier Ltd.This is an Open Access article under the CC BY 4.0 license Terms and Conditions

3 Figure 2 Body-mass index vs cardiac mortality at ages 35–69 years in Chennai, India, unadjusted for systolic blood pressure (A), and adjusted for systolic blood pressure (B) Rate ratios were adjusted for major confounders (age, sex, education, socioeconomic status, smoking, and alcohol), and omitted the first 2 years of follow-up. Exclusions are as per table 1. For each body-mass index category, the area of the square is inversely proportional to the variance of the category-specific log risk, which also determines the 95% CI (represented by error bars). The Lancet Global Health 2018 6, e787-e794DOI: ( /S X(18) ) Copyright © 2018 The Author(s). Published by Elsevier Ltd.This is an Open Access article under the CC BY 4.0 license Terms and Conditions

4 Figure 3 Body-mass index vs all-cause mortality at ages 35–69 years in Chennai, India, among all participants (A) and lifelong never-smokers (B) Rate ratios were adjusted for major confounders (age, sex, education, socioeconomic status, alcohol, and smoking [when appropriate]), and omitted the first 2 years of follow-up. Exclusions are as per table 1. For each body-mass index category, the area of the square is inversely proportional to the variance of the category-specific log risk, which also determines the 95% CI (represented by error bars). The Lancet Global Health 2018 6, e787-e794DOI: ( /S X(18) ) Copyright © 2018 The Author(s). Published by Elsevier Ltd.This is an Open Access article under the CC BY 4.0 license Terms and Conditions

5 Figure 4 Body-mass index vs cardiac mortality among never-smokers in Chennai, India (A) and Europe and North America (B) Rate ratios were adjusted for major confounders (ie, age, sex, social factors, and alcohol in Chennai, and age and sex in Europe and North America), excluding early follow-up (2 years in Chennai, 5 years in Europe and North America), those with pre-existing chronic disease at baseline, and those with body-mass indices <15 kg/m2 and >35 kg/m2. Estimates for Europe and North America are from the Global BMI Mortality Collaboration.4 For each body-mass index category, the area of the square is inversely proportional to the variance of the category-specific log risk, which also determines the 95% CI (represented by error bars). The Lancet Global Health 2018 6, e787-e794DOI: ( /S X(18) ) Copyright © 2018 The Author(s). Published by Elsevier Ltd.This is an Open Access article under the CC BY 4.0 license Terms and Conditions


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