Can Smartwatches Cause Anxiety? Understanding the Risks

Wearable fitness trackers and health apps can inadvertently trigger anxiety, body shame, and disordered eating, according to research conducted over the last decade. While these devices often encourage activity, they frequently rely on rigid, one-size-fits-all metrics like the 10,000-step goal, which lacks a firm scientific foundation and may alienate users who require personalized recovery or alternative forms of movement.

The Evolution of Fitness Metrics Beyond the Step Count

The “10,000 steps” benchmark, a marketing slogan dating back to the 1960s, remains a standard feature in many consumer wearables despite evidence suggesting thousands of steps is a more realistic target for many adults. According to research, these devices often prioritize metrics that are easy to track, such as steps, while potentially undervaluing activities like weightlifting, pilates, or mobility work.

This bias creates a distorted view of what constitutes “healthy” movement. When trackers fail to accurately capture non-walking activities, users may feel their efforts are unrecognized, leading to frustration or the abandonment of exercise habits altogether. The reliance on external metrics can erode internal motivation, shifting the focus from the joy of movement to the fulfillment of a digital quota.

Algorithmic Bias and the ‘Standard User’ Myth

Designers of fitness technology frequently build products for a “standard user” who does not reflect the diversity of the human population. Wearables often assume a body that is free of disabilities, not pregnant, and capable of prioritizing high-intensity exercise. This creates a narrow, often exclusionary, definition of health.

Body Mass Index (BMI) calculations integrated into these apps can penalize muscular users or misclassify healthy bodies, particularly those of women. By pushing generic, “more-is-better” notifications, devices may inadvertently encourage over-exercising or restrictive eating. Users who hand over their health judgment to an algorithm—which cannot account for injury, illness, or sleep deprivation—are particularly vulnerable to these design-driven risks.

Moving Toward Context-Aware Fitness Technology

• Individualization: Incorporating user-defined goals that account for specific life contexts, such as recovery days or personal health history.
• Broadening Data Capture: Improving the recognition of non-step-based activities like strength training and rehabilitation.
• Rest as a Metric: Integrating recovery and rest as positive, essential components of health rather than failures to meet a movement goal.

The core issue, according to current research, is that trackers frame inactivity as a failure of individual willpower, ignoring external factors like access to safe spaces, financial constraints, and caregiving responsibilities. Future iterations of these tools must stop treating health as a simple score and start treating data as one of many inputs rather than an absolute instruction.

Frequently Asked Questions

Are fitness trackers scientifically accurate?

They are generally accurate at measuring what they are designed to count, such as steps, but they often struggle with non-step activities like weightlifting or swimming, and their health “scores” often lack context.

Why do I feel guilty when I don’t hit my step goal?

Devices often use gamification—medals, streaks, and notifications—to drive engagement. When these are missed, it can lead to feelings of failure, even when the goal itself is arbitrary.

Should I stop using my fitness tracker?

Not necessarily. Experts suggest using them as information sources rather than instructions. If a device causes persistent anxiety or shame, it may be time to reassess your relationship with the data it provides.

How has your experience with wearable technology changed your relationship with exercise? Share your thoughts in the comments below or subscribe to our weekly wellness newsletter for more evidence-based health insights.