Spine age gap

1. Physically demanding work is associated with spine age gap in humans.

   “SAG is associated with conditions including disc bulges, disc osteophytes, spinal stenosis, and fractures, as well as lifestyle factors like smoking and physically demanding work”

   HumansSubjects with only age-related spine degenerationspine

   An Artificial Intelligence Framework for Measuring Human Spine Aging Using MRI

   arXiv (Cornell University)·21 Nov 2025Preprint

More on Physically demanding work

1. Smoking is associated with spine age gap in humans.

   “SAG is associated with conditions including disc bulges, disc osteophytes, spinal stenosis, and fractures, as well as lifestyle factors like smoking and physically demanding work”

   HumansSubjects with only age-related spine degenerationspine

   An Artificial Intelligence Framework for Measuring Human Spine Aging Using MRI

   arXiv (Cornell University)·21 Nov 2025Preprint

More on Smoking

1. Spine age gap is associated with disc bulges, disc osteophytes, spinal stenosis, and fractures in humans.

   “We find that SAG is associated with conditions including disc bulges, disc osteophytes, spinal stenosis, and fractures”

   HumansSubjects with only age-related spine degenerationspine

   An Artificial Intelligence Framework for Measuring Human Spine Aging Using MRI

   arXiv (Cornell University)·21 Nov 2025Preprint

More on Disc bulges, disc osteophytes, spinal stenosis, and fractures

1. Spine age gap predicts mortality in humans (aHR 1.31, p = 0.001).

   “Predicted age difference was associated with overall (adjusted HR [aHR] 1.22 per 1 SD increment, p < 0.001), vertebral, non-vertebral incident fractures, and mortality (aHR 1.31, p = 0.001)”

   Humansmedian 6.6 years

   Spine age estimation using deep learning in lateral spine radiographs and DXA VFA to predict incident fracture and mortality

   npj aging·9 Oct 2025

1. Spine age gap predicts incident fracture in humans (aHR 1.22 per 1 SD increment, p < 0.001).

   “Predicted age difference was associated with overall (adjusted HR [aHR] 1.22 per 1 SD increment, p < 0.001), vertebral, non-vertebral incident fractures, and mortality”

   Humansmedian 6.6 years

   Spine age estimation using deep learning in lateral spine radiographs and DXA VFA to predict incident fracture and mortality

   npj aging·9 Oct 2025