Medicine:Risk factor

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Short description: Variable associated with an increased risk of disease or infection

In epidemiology, a risk factor or determinant is a variable associated with an increased risk of disease or infection.[1]:38

Due to a lack of harmonization across disciplines, determinant, in its more widely accepted scientific meaning, is often used as a synonym. The main difference lies in the realm of practice: medicine (clinical practice) versus public health. As an example from clinical practice, low ingestion of dietary sources of vitamin C is a known risk factor for developing scurvy. Specific to public health policy, a determinant is a health risk that is general, abstract, related to inequalities, and difficult for an individual to control.[2][3][4] For example, poverty is known to be a determinant of an individual's standard of health.

Correlation vs causation

Risk factors or determinants are correlational and not necessarily causal, because correlation does not prove causation. For example, being young cannot be said to cause measles, but young people have a higher rate of measles because they are less likely to have developed immunity during a previous epidemic. Statistical methods are frequently used to assess the strength of an association and to provide causal evidence, for example in the study of the link between smoking and lung cancer. Statistical analysis along with the biological sciences can establish that risk factors are causal. Some prefer the term risk factor to mean causal determinants of increased rates of disease, and for unproven links to be called possible risks, associations, etc.

When done thoughtfully and based on research, identification of risk factors can be a strategy for medical screening.[5]

Terms of description

Mainly taken from risk factors for breast cancer, risk factors can be described in terms of, for example:

  • Relative risk, such as "A woman is more than 100 times more likely to develop breast cancer in her 60s than in her 20s."[6]
  • Fraction of incidences occurring in the group having the property of or being exposed to the risk factor, such as "99% of breast cancer cases are diagnosed in women."[7]
  • Increase in incidence in the exposed group, such as "each daily alcoholic beverage increases the incidence of breast cancer by 11 cases per 1000 women."[8]
  • Hazard ratio, such as "an increase in both total and invasive breast cancers in women randomized to receive estrogen and progestin for an average of 5 years, with a hazard ratio of 1.24 compared to controls."[9]


At a wedding, 74 people ate the chicken and 22 of them were ill, while of the 35 people who had the fish or vegetarian meal only 2 were ill. Did the chicken make the people ill?

[math]\displaystyle{ Risk = \frac {\mbox{number of persons experiencing event (food poisoning)}} {\mbox{number of persons exposed to risk factor (food)}} }[/math][10]

So the chicken eaters' risk = 22/74 = 0.297
And non-chicken eaters' risk = 2/35 = 0.057.

Those who ate the chicken had a risk over five times as high as those who did not, that is, a relative risk of more than five. This suggests that eating chicken was the cause of the illness, but this is not proof.

This example of a risk factor is described in terms of the relative risk it confers, which is evaluated by comparing the risk of those exposed to the potential risk factor to those not exposed.

General determinants

The probability of an outcome usually depends on an interplay between multiple associated variables. When performing epidemiological studies to evaluate one or more determinants for a specific outcome, the other determinants may act as confounding factors, and need to be controlled for, e.g. by stratification. The potentially confounding determinants varies with what outcome is studied, but the following general confounders are common to most epidemiological associations, and are the determinants most commonly controlled for in epidemiological studies:

  • Age (0 to 1.5 years for infants, 1.5 to 6 years for young children, etc.)
  • Sex or gender (Male or female)[11]:20
  • Ethnicity (Based on race)[11]:21

Other less commonly adjusted for possible confounders include:

  • Social status/income [1]:39
  • Geographic location
  • Genetic predisposition
  • Gender identity
  • Occupation
  • Overwork[12]
  • Sexual orientation
  • Level of chronic stress
  • Diet
  • Level of physical exercise
  • Alcohol consumption and tobacco smoking
  • Other social determinants of health

Risk marker

A risk marker is a variable that is quantitatively associated with a disease or other outcome, but direct alteration of the risk marker does not necessarily alter the risk of the outcome. For example, driving-while-intoxicated (DWI) history is a risk marker for pilots as epidemiologic studies indicate that pilots with a DWI history are significantly more likely than their counterparts without a DWI history to be involved in aviation crashes.[13]


The term "risk factor" was coined by former Framingham Heart Study Director, Dr. William B. Kannel in a 1961 article in Annals of Internal Medicine.[14]

See also


  1. 1.0 1.1 Parritz, Robin Hornik (2017-05-24). Disorders of childhood : development and psychopathology. Troy, Michael F. (Michael Francis) (Third ed.). Boston, MA. ISBN 9781337098113. OCLC 960031712. 
  2. Improving Health in the Community: A Role for Performance Monitoring: 2. Understanding Health and Its Determinants: A Model of the Determinants of Health. National Academy of Sciences: National Academies Press: Institute of Medicine (US) Committee on Using Performance Monitoring to Improve Community Health. 1997. ISBN 978-0309055345. ""Unlike a biomedical model that views health as the absence of disease, this dynamic framework includes functional capacity and well-being as health outcomes of interest. It also presents the behavioral and biologic responses of individuals as factors that influence health but are themselves influenced by social, physical, and genetic factors that are beyond the control of the individual."" 
  3. "Health Impact Assessment (HIA): Glossary of terms used". World Health Organization. 
  4. "Health Impact Assessment (HIA): The determinants of health". World Health Organization. 
  5. Wald, N. J.; Hackshaw, A. K.; Frost, C. D. (1999). "When can a risk factor be used as a worthwhile screening test?". BMJ 319 (7224): 1562–1565. doi:10.1136/bmj.319.7224.1562. ISSN 0959-8138. PMID 10591726. 
  6. "Neoplasms of the Breast". Cancer Medicine (5th ed.). Hamilton, Ontario: B. C. Decker. 2000. §Risk Factors. ISBN 1-55009-113-1. Retrieved 27 January 2011. 
  7. "Breast carcinoma in men: a population-based study". Cancer 101 (1): 51–7. July 2004. doi:10.1002/cncr.20312. PMID 15221988. 
  8. "Moderate alcohol intake and cancer incidence in women". Journal of the National Cancer Institute 101 (5): 296–305. March 2009. doi:10.1093/jnci/djn514. PMID 19244173. 
  9. Heiss, G.; Wallace, R.; Anderson, G. L.; Aragaki, A.; Beresford, S. A. A.; Brzyski, R.; Chlebowski, R. T.; Gass, M. et al. (2008). "Health Risks and Benefits 3 Years After Stopping Randomized Treatment with Estrogen and Progestin". JAMA: The Journal of the American Medical Association 299 (9): 1036–45. doi:10.1001/jama.299.9.1036. PMID 18319414. 
  10. Tenny, Steven; Hoffman, Mary R. (2020), "Relative Risk", StatPearls (StatPearls Publishing), PMID 28613574,, retrieved 2020-06-10 
  11. 11.0 11.1 Mash, Eric J. (2019). Abnormal child psychology. Wolfe, David A. (David Allen), 1951- (Seventh ed.). Boston, MA. ISBN 9781337624268. OCLC 1022139949. 
  12. Pega, Frank; Nafradi, Balint; Momen, Natalie; Ujita, Yuka; Streicher, Kai; Prüss-Üstün, Annette; Technical Advisory Group (2021). "Global, regional, and national burdens of ischemic heart disease and stroke attributable to exposure to long working hours for 194 countries, 2000–2016: A systematic analysis from the WHO/ILO Joint Estimates of the Work-related Burden of Disease and Injury". Environment International 154: 106595. doi:10.1016/j.envint.2021.106595. ISSN 0160-4120. PMID 34011457. 
  13. Li G., Baker S. P., Qiang Y., Grabowski J. G., McCarthy M. L. Driving-while-intoxicated history as a risk marker for general aviation pilots. Accid Anal Prev. 2005;37(1):179-84./McFadden K. L. Driving while intoxicated (DWI) convictions and job-related flying performance – a study of commercial air safety. J Oper Res Soc. 1998;49:28–32
  14. Husten, Larry (23 August 2011). "William Kannel, Former Director of the Framingham Heart Study, Dead at 87". Forbes. 

Further reading

  • S. P. Case and K. R. Haines, Understanding Youth Offending: Risk Factor Research, Policy and Practice, Willan, 2009.