Examining the Association Between Internet Use and Perceived Stress in Adults: Longitudinal Observational Study Combining Web Tracking Data With Questionnaires

TL;DR

This study finds that certain types of internet use, like social media and gaming, are linked to higher stress levels in adults, while others, like productivity websites, are linked to lower stress.

Contribution

The study introduces a framework combining web tracking data with self-reported stress to explore contextual associations between internet use and stress.

Findings

Increased time on social media, shopping, and gaming platforms is associated with higher stress.

Productivity and news websites are linked to lower stress levels.

High-stress individuals show stronger positive associations between internet use and stress.

Abstract

In today’s digital era, the internet plays a pervasive role in daily life, influencing everyday activities such as communication, work, and leisure. This online engagement intertwines with offline experiences, shaping individuals’ overall well-being. Despite its significance, existing research often falls short in capturing the relationship between internet use and well-being, relying primarily on isolated studies and self-reported data. One major contributor to deteriorated well-being is stress. While some research has examined the relationship between internet use and stress, both positive and negative associations have been reported.

This study aimed to identify the associations between an individual’s internet use and their stress.

We conducted a 7-month longitudinal study. We combined fine-grained URL-level web browsing traces of 1490 German internet users with their sociodemographics and monthly measures of stress. Further, we developed a conceptual framework that allows us to simultaneously explore different contextual dimensions, including how, where, when, and by whom the internet is used. We applied linear mixed-effects models to examine these associations.

Our analysis revealed several associations between internet use and stress, varying by context. Increased time spent on social media, online shopping, and gaming platforms was associated with higher stress. For example, the time spent by individuals on shopping-related internet use (aggregated over the 30 days before their stress was measured via questionnaires) was positively associated with stress on both mobile (β=.04, 95% CI 0.00‐0.08; P=.04) and desktop devices (β=.03, 95% CI −0.00 to 0.06; P=.09). In contrast, time spent on productivity or news websites was associated with lower stress. Specifically, in the last 30 days of mobile usage, productivity-related use showed a negative association with stress (β=−.03, 95% CI −0.06 to −0.00; P=.04). In addition, in the last 2 days of data, news usage was negatively associated with stress on both mobile (β=−.54, 95% CI −1.08 to 0.00; P=.048) and desktop devices (β=−.50, 95% CI−0.90 to −0.11; P=.01). Further analysis showed that total time spent online (β=.01, 95% CI 0.00‐0.02; P<.001), social-media usage (β=.02, 95% CI 0.00‐0.03; P=.02), and gaming usage (β=.01, 95% CI 0.00‐0.02; P=.02) were all positively associated with stress in high-stress Perceived Stress Scale (PSS>26) individuals on mobile devices.

The findings indicate that internet use is associated with stress, and these associations differ across various usage contexts. In the future, the behavioral markers we identified can pave the way for designing individualized tools for people to self-monitor and self-moderate their online behaviors to enhance their well-being, reducing the burden on already overburdened mental health services.

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