Sedentary behavior is associated with increased calcium deposits on CT scans, according to a study of more than 2,000 patients published in JACC Cardiovascular Imaging.
Part of the ongoing Dallas Heart Study, the analysis is among the first to correlate sitting time with atherosclerotic buildup in the heart, said researchers from the University of Texas Southwestern Medical Center in Dallas.
Coronary artery calcium (CAC) scoring with CT revealed that each additional hour of daily sedentary time is associated with a 12% higher likelihood of calcification, according to senior author Dr. Amit Khera, an associate professor of internal medicine and director of preventive cardiology (JACC Cardiovasc Imaging, April 13, 2016).
For their study, the researchers asked approximately 2,000 participants in the Dallas Heart Study to wear a device that measured their activity levels over a week's time. The results showed that participants spent an average of 5.1 hours sitting each day, but only an average of 29 minutes performing moderate to vigorous physical activity.
"We observed a significant association between increased sedentary time and coronary artery calcium," Khera said in a statement accompanying the study. The associations were independent of exercise, traditional cardiovascular risk factors, and socioeconomic factors.
The results suggest that increased subclinical atherosclerosis as seen in calcium deposition is one of the mechanisms through which sedentary behavior increases a kind of cardiovascular risk that is distinct from the protective power of exercise, the group concluded.




















![Images show the pectoralis muscles of a healthy male individual who never smoked (age, 66 years; height, 178 cm; body mass index [BMI, calculated as weight in kilograms divided by height in meters squared], 28.4; number of cigarette pack-years, 0; forced expiratory volume in 1 second [FEV1], 97.6% predicted; FEV1: forced vital capacity [FVC] ratio, 0.71; pectoralis muscle area [PMA], 59.4 cm2; pectoralis muscle volume [PMV], 764 cm3) and a male individual with a smoking history and chronic obstructive pulmonary disorder (COPD) (age, 66 years; height, 178 cm; BMI, 27.5; number of cigarette pack-years, 43.2, FEV1, 48% predicted; FEV1:FVC, 0.56; PMA, 35 cm2; PMV, 480.8 cm3) from the Canadian Cohort Obstructive Lung Disease (i.e., CanCOLD) study. The CT image is shown in the axial plane. The PMV is automatically extracted using the developed deep learning model and overlayed onto the lungs for visual clarity.](https://img.auntminnie.com/mindful/smg/workspaces/default/uploads/2026/03/genkin.25LqljVF0y.jpg?auto=format%2Ccompress&crop=focalpoint&fit=crop&h=112&q=70&w=112)