Continue Reading

The available research consistently indicates a strong association between elevated insulin levels and risk for developing metabolic dysfunction. The majority of the studies included in this review utilized varying methodologies and adequately large sample sizes from diverse populations. In an effort to minimize bias and confounding variables, inclusion and exclusion criteria were clearly stated in all included studies. Some researchers evaluated fasting insulin as a direct measure of T2D risk while others evaluated the association between fasting insulin and the traits of insulin resistance. Ultimately, the large majority of researchers concluded that elevated fasting insulin levels were associated with the early physiologic changes of metabolic syndrome and T2D.

It has become widely accepted that a state of insulin resistance and hyperinsulinism precedes prediabetes and T2D.  Pennings et al identified the association between hyperinsulinism and weight gain and suggested that weight gain is independently associated with elevated insulin level and not with hyperglycemia, as previously believed.18 The most significant weight gains occurred in the early stages of insulin resistance and at relatively low levels of insulin elevation. This suggests that significant metabolic alterations occur before the most common screening methods are able to identify glycemic impairment. These findings are consistent with those of an earlier study by Pataky et al, which indicated that hyperinsulinemia is associated with cardiometabolic changes independent of hyperglycemia and insulin resistance.10 Pennings et al conducted one of the only studies that included participants from the United States; the researchers utilized a large sample selected using the NHANES database, allowing them to select a sample with demographics representative of the national population.18  They identified the strong association between fasting insulin and common precursors and risk factors for T2D: insulin resistance and weight gain. These findings support the suggestion that the progression to T2D includes a hyperinsulinemic stage and a prediabetic stage.16

Multiple studies with large sample sizes from varying populations identified a strong correlation between fasting elevated insulin levels and T2D or other metabolic syndrome traits. Among them were Welsh et al, who identified a strong association between T2D and fasting insulin level in an older adult population,12 and Saravia et al, who studied 3200 male factory workers and noted that insulin appears to identify cardiometabolic changes earlier than both HbA1c and glucose measurements.14 Derakhshan et al15 and Ghasemi et al13 both followed a large population of Iranian adults and identified hyperinsulinism as an independent risk factor for the development of T2D. Ghasemi et al identified fasting insulin level as a possible predictive tool and contributed to improved reproducibility by recognizing suggested laboratory cut-off values for determining T2D risk.13

Current literature regarding the fasting insulin level is limited, and its role in the development of insulin resistance, metabolic syndrome, and T2D is not fully understood. While most of the studies included in this review utilized large sample sizes, the shortage of recent publications is a limitation. The researchers typically utilized convenience sampling, which introduced the opportunity for bias, and the applicability of findings was further limited by widely varying follow-up durations that ranged from 3 years to 9.2 years. Ruijgrok et al found that fasting insulin was not statistically significantly associated with the incidence of T2D in a 6.4-year follow-up,17 which contradicts other researchers’ findings. More long-term follow-up is therefore necessary to better evaluate the association between fasting insulin levels and development of T2D.  

While Welsh et al12 identified strong correlations between fasting insulin level and development of T2D, the advanced age of this sample — 70 to 82 years — limits more widespread generalizability. Saravia et al14 also found strong links between fasting insulin level and components of metabolic syndrome, but generalizability is limited by the all-male and largely Spanish sample. The same is true for the study by Lunger et al, in which they highlighted the potential use of fasting insulin level to identify early metabolic dysfunction in those with PCOS.11 However, the researchers utilized a relatively small sample size, and the apparent fluctuations in insulin levels among those with PCOS make generalization difficult.

The systematic review by Kelly et al merely identifies the presence of hyperinsulinism in the mentioned conditions.9 The methodology does not allow for one to identify the cause or nature of the relationship between elevated insulin level and the evaluated disorders. Similarly, Pennings et al did not directly measure the ability of the fasting insulin level to identify risk for T2D; they identified the correlation between fasting insulin and weight gain.18 Moreover, in all of the included studies, researchers only speculated on the potential cost benefits of early identification of this hyperinsulinemic state. There was no actual empirical evidence related to the cost-effectiveness of utilizing fasting insulin screenings to identify T2D risk.

Implications for Practice

While the available literature on T2D is overwhelming, it is apparent that much room exists for improvement of current screening guidelines and continued research. While the associations of FPG, HbA1c, and 2-hour plasma glucose with T2D are well studied and widely known, the role of fasting insulin level as it relates to progression of insulin resistance to diabetes is still poorly understood. Therefore, it remains unclear as to when insulin levels will start to rise and for how many years they can remain elevated before irreversible metabolic changes or beta-cell degradation occurs. This makes it challenging to identify the accuracy of the fasting insulin level as a predictor of T2D risk.

Hyperinsulinism has been identified in prediabetes, T2D, dyslipidemia, obesity, hypertension, PCOS, fatty liver disease, certain cancers, CVD, renal failure, and sleep apnea.9 The combined burden of these conditions on the American healthcare system is astonishing. Saravia et al14 concluded that fasting insulin level appears to identify certain cardiometabolic changes earlier than both HbA1c and glucose measurements, and Pataky et al10 established that fasting hyperinsulinemia is associated with cardiometabolic changes independent of hyperglycemia and insulin resistance. These findings underscore the potential to identify these at-risk patients much earlier than current practice allows. Individuals in earlier stages of metabolic dysfunction would theoretically require less-intense interventions to slow or reverse their diseased state.

Related Articles

Fasting insulin levels have been identified as simple and effective measures of insulin resistance in the absence of diabetes and could potentially identify individuals at risk of developing certain metabolic conditions. The association between fasting insulin and metabolic syndrome and T2D has been well documented in this review, and hyperinsulinism has been shown to disrupt other components of the endocrine system, as well as have harmful effects on other organ systems and tissues.  Identifying this imbalance earlier could have a significant impact on the overall health of Americans.  Individuals with elevated insulin levels could make preemptive lifestyle changes, thereby thwarting the development of T2D, CVD, dyslipidemia, obesity, and more. A simple laboratory test has the potential to change the way we identify at-risk individuals.

Targets for Future Research

While the research might not yet support substantial changes to current screening guidelines, continued research is warranted to better evaluate the fasting insulin level as a diagnostic or screening tool.  Several questions come to mind in terms of continued research: 

  • Can fasting insulin levels be used as an early cost-effective risk identifier for certain metabolic disorders?
  • Does early intervention decrease morbidity in those identified as having elevated fasting insulin levels?
  • Are lifestyle changes enough to reverse hyperinsulinemia?
  • How far ahead of a T2D diagnosis do fasting insulin levels identify metabolic dysfunction?


Although the available literature on the prognostic value of the fasting insulin level is limited, this review highlights the potential benefit of this simple laboratory test.  Healthcare providers are encouraged to adjust their practices to better focus on preventive and early detection efforts, but current screening guidelines leave much to be desired with regard to prevention of T2D and metabolic syndrome. The strength of the association between fasting insulin level and various metabolic disorders suggests that the fasting insulin level could be a valuable tool to identify those at risk of developing metabolic syndrome or T2D. Perhaps fasting insulin levels could identify an at-risk state that occurs even before prediabetes develops.  Conceivably, clinicians could soon begin utilizing fasting insulin levels to identify early metabolic impairment and suggest cost-effective lifestyle interventions.  While there is inadequate evidence to suggest guideline changes at this time, there is abundant evidence endorsing continued research.

Felicia Stewart, DNP, FNP-C, is affiliated with Saint Mary-of-the-Woods College in St. Mary-of-the-Woods, Indiana, and Wellness For Life, LLC. Jan Paauwe-Weust, DNP, RN, is affiliated with Indiana State University in Terre Haute. Special acknowledgement to Kayur V. Patel, MD, FACEP, FACP, FACPE, FACHE, for igniting our interest in this topic and his support and engagement in future efforts in this area.


  1. American Diabetes Association. Economic costs of diabetes in the U.S. in 2012. Diabetes Care. 2013;6(4):1033-1046.
  2. American Diabetes Association. Classification and diagnosis of diabetes. Diabetes Care. 2017;40(Suppl 1):S11-S24.  
  3. American Diabetes Association. Classification and diagnosis of diabetes: standards of medical care in diabetes—2018. Diabetes Care. 2018;41(Suppl 1):s13-s27.
  4. Mainous AG, Tanner RJ, Scuderi CB, Porter M, Carek PJ. Prediabetes screening and treatment in diabetes prevention: the impact of physician attitudes. J Am Board Fam Med. 2016;29(6):663-671.
  5. Kanat M, DeFronzo RA, Abdul-Ghani MA. Treatment of prediabetes. World J Diabetes. 2015;6(12):1207-1222.
  6. Pories WJ, Dohm GL. Diabetes: have we got it all wrong? Hyperinsulinism as the culprit: surgery provides the evidence. Diabetes Care. 2012;35(12):2438-2442.
  7. Ye J. Mechanisms of insulin resistance in obesity. Front Med. 2013;7(1):14-24.
  8. Barry E, Roberts S, Oke J, Vijayaraghavan S, Normansell R, Greenhalgh T. Efficacy and effectiveness of screen and treat policies in prevention of type 2 diabetes: systematic review and meta-analysis of screening tests and interventions. BMJ. 2017;356:1-16.
  9. Kelly CT, Mansoor J, Dohm GL, Chapman WH, Pender JR, Pories WJ. Hyperinsulinemic syndrome: the metabolic syndrome is broader than you think. Surgery. 2014;156(2):405-411. 
  10. Pataky Z, Golay A, Laville M, et al. Fasting insulin at baseline influences the number of cardiometabolic risk factors and R-R interval at 3 years in a healthy population: the RISC study. Diab Metab. 2013;39(4):330-336.
  11. Lunger F, Wildt L, Seeber B. Accurate screening for insulin resistance in PCOS women using fasting insulin concentrations. Gynecol Endocrinol. 2013;29(6):541-544.
  12. Welsh P, Preiss D, Lloyd SM, et al. Contrasting associations of insulin resistance with diabetes, cardiovascular disease and all-cause mortality in the elderly: PROSPER long-term follow-up. Diabetologia. 2014;57(12):2513-2520.
  13. Ghasemi A, Tohidi M, Derakhshan A, Hasheminia M, Azizi F, Hadaegh F. Cut-off points of homeostasis model assessment of insulin resistance, beta-cell function, and fasting serum insulin to identify future type 2 diabetes: Tehran Lipid and Glucose Study. Acta Diabetol. 2015;52(5):905-915.
  14. Saravia G, Civeira F, Hurtado-Roca Y, et al. Glycated hemoglobin, fasting insulin and the metabolic syndrome in males: cross-sectional analyses of the Aragon Workers’ Health Study baseline. Plos One. 2015;10(8):1-14.
  15. Derakhshan A, Tohidi M, Arshi B, Khalili D, Azizi F, Hadaegh F. Relationship of hyperinsulinaemia, insulin resistance and β-cell dysfunction with incident diabetes and pre-diabetes: the Tehran Lipid and Glucose Study. Diabetic Med. 2015;32(1):24-32.
  16. Yang G, Li C, Gong Y, et al. Assessment of insulin resistance in subjects with normal glucose tolerance, hyperinsulinemia with normal blood glucose tolerance, impaired glucose tolerance, and newly diagnosed type 2 diabetes (prediabetes insulin resistance research). J Diabetes Res. 2016;9270768.
  17. Ruijgrok C, Dekker JM, Beulens JW, et al. Size and shape of the associations of glucose, HbA1c, insulin, and HOMA-IR with incident type 2 diabetes: the Hoorn Study. Diabetologia. 2018;61(1):93-100.
  18. Pennings N, Jaber J, Ahiawodzi P. Ten-year weight gain is associated with elevated fasting insulin levels and precedes glucose elevation. Diab Metab Res Rev. 2018;34(4):e2986.