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The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis

Author

Listed:
  • Gitanjali M Singh
  • Goodarz Danaei
  • Farshad Farzadfar
  • Gretchen A Stevens
  • Mark Woodward
  • David Wormser
  • Stephen Kaptoge
  • Gary Whitlock
  • Qing Qiao
  • Sarah Lewington
  • Emanuele Di Angelantonio
  • Stephen vander Hoorn
  • Carlene M M Lawes
  • Mohammed K Ali
  • Dariush Mozaffarian
  • Majid Ezzati
  • Global Burden of Metabolic Risk Factors of Chronic Diseases Collaborating Group; Asia-Pacific Cohort Studies Collaboration (APCSC)
  • Diabetes Epidemiology: Collaborative analysis of Diagnostic criteria in Europe (DECODE)
  • Emerging Risk Factor Collaboration (ERFC)
  • Prospective Studies Collaboration (PSC)

Abstract

Background: The effects of systolic blood pressure (SBP), serum total cholesterol (TC), fasting plasma glucose (FPG), and body mass index (BMI) on the risk of cardiovascular diseases (CVD) have been established in epidemiological studies, but consistent estimates of effect sizes by age and sex are not available. Methods: We reviewed large cohort pooling projects, evaluating effects of baseline or usual exposure to metabolic risks on ischemic heart disease (IHD), hypertensive heart disease (HHD), stroke, diabetes, and, as relevant selected other CVDs, after adjusting for important confounders. We pooled all data to estimate relative risks (RRs) for each risk factor and examined effect modification by age or other factors, using random effects models. Results: Across all risk factors, an average of 123 cohorts provided data on 1.4 million individuals and 52,000 CVD events. Each metabolic risk factor was robustly related to CVD. At the baseline age of 55–64 years, the RR for 10 mmHg higher SBP was largest for HHD (2.16; 95% CI 2.09–2.24), followed by effects on both stroke subtypes (1.66; 1.39–1.98 for hemorrhagic stroke and 1.63; 1.57–1.69 for ischemic stroke). In the same age group, RRs for 1 mmol/L higher TC were 1.44 (1.29–1.61) for IHD and 1.20 (1.15–1.25) for ischemic stroke. The RRs for 5 kg/m2 higher BMI for ages 55–64 ranged from 2.32 (2.04–2.63) for diabetes, to 1.44 (1.40–1.48) for IHD. For 1 mmol/L higher FPG, RRs in this age group were 1.18 (1.08–1.29) for IHD and 1.14 (1.01–1.29) for total stroke. For all risk factors, proportional effects declined with age, were generally consistent by sex, and differed by region in only a few age groups for certain risk factor-disease pairs. Conclusion: Our results provide robust, comparable and precise estimates of the effects of major metabolic risk factors on CVD and diabetes by age group.

Suggested Citation

  • Gitanjali M Singh & Goodarz Danaei & Farshad Farzadfar & Gretchen A Stevens & Mark Woodward & David Wormser & Stephen Kaptoge & Gary Whitlock & Qing Qiao & Sarah Lewington & Emanuele Di Angelantonio &, 2013. "The Age-Specific Quantitative Effects of Metabolic Risk Factors on Cardiovascular Diseases and Diabetes: A Pooled Analysis," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-10, July.
  • Handle: RePEc:plo:pone00:0065174
    DOI: 10.1371/journal.pone.0065174
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    6. Ryan M. Andrews & Ilya Shpitser & Oscar Lopez & William T. Longstreth & Paulo H. M. Chaves & Lewis Kuller & Michelle C. Carlson, 2020. "Examining the causal mediating role of brain pathology on the relationship between diabetes and cognitive impairment: the Cardiovascular Health Study," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 183(4), pages 1705-1726, October.
    7. Archana Dang & Indrani Gupta, 2023. "Overnutrition and COVID Prevalence in India: Evidence and Implications," Indian Journal of Human Development, , vol. 17(1), pages 44-59, April.
    8. Anjana Rai & Swadesh Gurung & Subash Thapa & Naomi M Saville, 2019. "Correlates and inequality of underweight and overweight among women of reproductive age: Evidence from the 2016 Nepal Demographic Health Survey," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-16, May.
    9. Katherine Dick & John E. Schneider & Andrew Briggs & Pascal Lecomte & Stephane A. Regnier & Michael Lean, 2021. "Mendelian randomization: estimation of inpatient hospital costs attributable to obesity," Health Economics Review, Springer, vol. 11(1), pages 1-12, December.

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