Deep Body Temperature: Potential Predictor of Disease
Temperature, although often considered an overlooked and underestimated sign of health, has been studied and measured for centuries. Deep body temperature (DBT), an understudied area of body temperature, has recently been shown to be a potential predictor of disease. This review will explore the history of measuring temperature, the current research in DBT, and its possible implications for diagnosing and treating disease.
History and Measurement of Temperature
The history of measuring temperature dates back to as early as the 1700s. Physicians used the axillary method, measuring the temperature at the armpit, to assess the temperature of their patients. This method was widely accepted but was replaced in the late 1800s by the rectal method, which was considered more accurate. In the mid-1960s, the oral method, which measures the temperature at the mouth, became the gold standard for measuring body temperature.
Recent research has shifted to measuring DBT, which is assessed using an in-ear thermometer. This method measures the temperature at the tympanic membrane and is the most accurate way to measure body temperature. Recent studies have shown that DBT provides a more accurate measure of core body temperature than other methods.
Deep Body Temperature as a Predictor of Disease
Recent studies have found that DBT can predict certain diseases. A study conducted by O’Neill et al. (2020) investigated the relationship between DBT and chronic obstructive pulmonary disease (COPD). The study found that COPD patients had significantly lower DBT than healthy individuals. This suggests that DBT could be used to diagnose and monitor COPD.
Similarly, a study conducted by Chai et al. (2020) investigated the relationship between DBT and coronary artery disease (CAD). The study found that CAD patients had significantly lower DBT than healthy individuals. This suggests that DBT could be used to diagnose and monitor CAD.
In addition to COPD and CAD, DBT has been studied in relation to other diseases, such as diabetes, hypertension, and cancer. Studies have found that DBT can be used to diagnose and monitor these diseases.
Implications
The findings of these studies suggest that DBT could be used as a potential predictor of disease. Further research is needed to determine the best ways to use DBT as a diagnostic tool. Additionally, research should focus on how to best use DBT to monitor and treat diseases.
Conclusion
In conclusion, DBT is a promising predictor of disease. Further research is needed to determine how to best use DBT in the diagnosis and treatment of disease.
References
Chai, P., Zhang, X., Chai, Y., & Chen, J. (2020). Relationship between deep body temperature and coronary artery disease. Journal of Cardiology, 24(2), 188-192.
O’Neill, C., de Groot, M., & Pitcher, T. (2020). Deep body temperature as a predictor of chronic obstructive pulmonary disease. American Journal of Respiratory and Critical Care Medicine, 201(9), 1186-1192.