Low Back Pain (LBP) represents a rising public health issue that affects women in desk-bound government office work more frequently than other groups. Technological advancement in work practices leads to increased spinal strain, which speeds up disc deterioration and raises the risk of LBP,
particularly among women aged 49–50 who face additional hormonal and anatomical challenges.
This paper reviews how the implementation of Artificial Intelligence
(AI) in public administration workflows creates conditions that lead to
increased sedentary behaviors, which subsequently cause LBP in female office
workers. The combination of extended static work at desks with AI technology adoption through automated scheduling systems, document processing software, and digital communication platforms results in reduced movement, task variety, and postural change for government employees. It
applies Cumulative Load Theory to explore how AI-driven automation increases
occupational and ergonomic risks, leading to musculoskeletal disorders through
prolonged low-level biomechanical stress. The discussion demonstrates that AI
will unintentionally perpetuate dangerous sedentary behaviors in public sector
workplaces unless organizations implement proactive workplace redesign and
health-informed policy changes.
The review synthesizes 45 scholarly articles,
emphasizing the importance of workplace ergonomic solutions that cater to
gender differences, including adjustable furniture, task rotation, and AI-based
wellness platforms. This review supports the emerging field of knowledge that
promotes digital transformation strategies aligned with occupational health
priorities in government institutions that employ a large number of female
administrative staff.
