Table 3. Annual Cost of Absenteeism Borne by US Employers Because of Selected Health Risk Factors or Chronic Diseases Among Employeesa .
| Risk Factor or Disease | Prevalence, %b |
No. of People in US Workforce With Condition, in Millionsc |
No. of Excess Missed Workdaysd per Employee per Yeare |
Cost per Employee per Year, $f |
Total US Cost per Year, Billions, $g |
US Cost Scenarioh, Lower–Upper, Billions, $ |
|---|---|---|---|---|---|---|
| A | B | C | D | E | F | |
| Current smoking | 17.0 | 23.6 | 0.58 | 153 | 3.6 | 1.6–5.9 |
| Physical inactivity | 39.7 | 55.2 | 0.63 | 166 | 9.1 | 3.9–14.6 |
| Obesity | 30.0 | 41.6 | 1.02 | 269 | 11.2 | 4.8–17.9 |
| Hypertension | 24.9 | 34.6 | 1.13 | 298 | 10.3 | 4.4–16.5 |
| Diabetes | 6.0 | 8.3 | 1.03 | 272 | 2.2 | 0.9–3.5 |
Abbreviation: MEPS, Medical Panel Expenditure Survey
Data sources: MarketScan and Medical Expenditure Panel Survey [19], 2008–2011. MarketScan is a large US commercial health care claims database; it is a de-identified convenience subpopulation of privately insured individuals (18).
Prevalence estimate from MEPS data (A).
Assumes workforce population of 139 million people: B = A × 139 million.
Number of excess missed workdays defined as the difference in the number of days missed from work by those who reported having a risk factor or chronic disease and those who did not.
C = MEPS regression estimates for single factor or disease, full model (Table 2).
Assumes an average employment cost of $33.00 per hour and an 8-hour work day (in 2015 dollars): D = C × 8 × 33.
Total cost (E) = B × D in 2015 dollars.
Lower and upper cost scenarios based on multipliers of 0.43 and 1.6 respectively: lower value = 0.43 × E; upper value = 1.6 × E.