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Fasting insulin concentrations and incidence of hypertension, stroke, and coronary heart disease: a meta-analysis of prospective cohort studies.

AbstractBACKGROUND:
Insulin resistance is a precursor of numerous chronic diseases, including cardiovascular disease (CVD). The fasting insulin concentration is considered a reasonable surrogate of insulin resistance, especially among nondiabetic individuals.
OBJECTIVE:
We aimed to quantitatively summarize the literature on the association of fasting insulin concentrations with risk of hypertension, stroke, and coronary heart disease (CHD) by conducting a meta-analysis of prospective cohort studies.
DESIGN:
Eligible studies were identified by searching PubMed and EMBASE through January 2013. Additional information was retrieved through Google Scholar or a hand review of the reference lists from relevant articles. Prospective cohort studies that reported RRs and corresponding 95% CIs for the association of interest were identified. Data were extracted independently by 2 investigators, and the weighted RRs and 95% CIs for the associations were obtained by using a random-effects model.
RESULTS:
Of the 22 identified studies, 10 reported results on hypertension (36,617 individuals and 4491 cases), 7 on stroke (27,887 individuals and 1550 cases), and 9 on CHD (22,379 individuals and 1986 cases). Comparison of the highest with the lowest quantile of fasting insulin concentrations showed a pooled RR (95% CI) of 1.63 (1.35, 1.97) for hypertension, 1.18 (0.87, 1.60) for stroke, and 1.50 (1.28, 1.77) for CHD. Each 50-pmol/L increment in fasting insulin was associated with a 25% increase in risk of hypertension [RR: 1.25 (1.14, 1.36)] and a 16% increase in risk of CHD [RR: 1.16 (1.10, 1.22)] but was not associated with risk of stroke [RR: 0.999 (0.99, 1.01)].
CONCLUSIONS:
A higher fasting insulin concentration or hyperinsulinemia was significantly associated with an increased risk of hypertension and CHD but not stroke. This meta-analysis suggests that early fasting insulin ascertainment in the general population may help clinicians identify those who are potentially at high risk of CVD.
AuthorsPengcheng Xun, Ying Wu, Qianchuan He, Ka He
JournalThe American journal of clinical nutrition (Am J Clin Nutr) Vol. 98 Issue 6 Pg. 1543-54 (Dec 2013) ISSN: 1938-3207 [Electronic] United States
PMID24132974 (Publication Type: Journal Article, Meta-Analysis, Research Support, N.I.H., Extramural)
Chemical References
  • Insulin
Topics
  • Cohort Studies
  • Coronary Disease (epidemiology, etiology)
  • Fasting
  • Humans
  • Hyperinsulinism (blood, metabolism, physiopathology)
  • Hypertension (epidemiology, etiology)
  • Incidence
  • Insulin (blood)
  • Insulin Resistance
  • Prospective Studies
  • Risk Factors
  • Stroke (epidemiology, etiology)

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