Association of Obesity With Prescription Opioids for Painful Conditions in Patients Seeking Primary Care in the US

JAMA Netw Open. 2020 Apr 1;3(4):e202012. doi: 10.1001/jamanetworkopen.2020.2012.

Abstract

Importance: Prior studies have identified an association between obesity and prescription opioid use in the US. However, the pain conditions that are factors in this association remain unestablished.

Objective: To investigate the association between obesity and pain diagnoses recorded by primary care clinicians as reasons for prescription of opioids.

Design, setting, and participants: A cross-sectional study including 565 930 patients aged 35 to 64 years with a body mass index (BMI) measurement recorded in 2016 was conducted. Electronic health records of patients seen by primary care clinicians in the US in the multipayer athenahealth network from January 1, 2015, to December 31, 2017, were reviewed, and data were analyzed from March 1 to September 15, 2019.

Main outcomes and measures: Any prescription of opioids in the 365 days before or after the first BMI measurement in 2016 were identified. All International Classification of Diseases, Ninth Revision, and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision, claims within 7 days before each opioid prescription were captured and classified using a pain diagnosis typologic system. Weight was categorized as underweight (BMI, 18.5-19.9), normal weight (BMI, 20.0-24.9), overweight (BMI, 25.0-29.9), obese I (BMI, 30-34.9), obese II (BMI, 35.0-39.9), obese III (BMI, 40.0-49.9), and obese IV (BMI, 50.0-80.0).

Results: Among 565 930 patients, 329 083 (58.1%) were women. A total of 125 093 patients (22.1%) were aged 35 to 44 years, 199 384 patients (35.2%) were 45 to 54 years, and 241 453 patients (42.7%) were 55 to 64 years. A total of 177 631 patients (31.4%) were overweight and 273 135 patients (48.2%) were obese at baseline. Over 2 years, 93 954 patients (16.6%) were prescribed opioids. The risk of receiving prescription opioids increased progressively with BMI (adjusted relative risk for overweight: 1.08; 95% CI, 1.06-1.10; obese I: 1.24; 95% CI, 1.22-1.26; obese II: 1.33; 95% CI, 1.30-1.36; obese III: 1.48; 95% CI, 1.45-1.51; and obese IV, 1.71; 95% CI, 1.65-1.77). The percentage of patients with opioid prescriptions attributable to an overweight or obese BMI was 16.2% (95% CI, 15.0%-17.4%). Prescription opioids for management of osteoarthritis (relative risk for obese vs normal weight, 1.90; 95% CI, 1.77-2.05) and other joint disorders (relative risk, 1.63; 95% CI, 1.55-1.72) both had stronger associations with obesity than the mean for any pain diagnosis (relative risk, 1.33; 95% CI, 1.31-1.36). Osteoarthritis, other joint disorders, and other back disorders comprised a combined 53.4% of the absolute difference in prescription of opioids by obesity.

Conclusions and relevance: Joint and back disorders appear to be the most important diagnoses in explaining the increased receipt of opioid prescriptions among patients with obesity. Addressing the opioid crisis will require attention to underlying sources of demand for prescription opioids, including obesity, through its associations with pain.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Analgesics, Opioid / adverse effects*
  • Analgesics, Opioid / therapeutic use
  • Back Pain / drug therapy
  • Back Pain / epidemiology
  • Body Mass Index
  • Case-Control Studies
  • Cross-Sectional Studies
  • Female
  • Humans
  • Joint Diseases / drug therapy
  • Joint Diseases / epidemiology
  • Male
  • Middle Aged
  • Obesity / classification
  • Obesity / complications*
  • Obesity / epidemiology
  • Osteoarthritis / drug therapy
  • Osteoarthritis / epidemiology
  • Pain / drug therapy*
  • Pain / etiology
  • Prescriptions / statistics & numerical data*
  • Primary Health Care / standards
  • Risk
  • United States / epidemiology

Substances

  • Analgesics, Opioid