Psychological well-being, gender, and age-specific difference on objectively recorded smartphone screen time in Japanese adults: A regression and clustering analysis

Abstract

Background

Smartphones have become an integral part of our daily lives. Although many scales can assess smartphone usage, they rely on respondents' subjective self-reports and suffer from considerable cognitive bias. Therefore, quantitative measurement of smartphone's recorded screen time is an effective way to assess smartphone usage.

Objective

This study assesses the effects of age, gender, and subjective psychological factors (depression, social anxiety, sleep quality, stress perseverance, and loneliness) on smartphone usage. Based on previous research, we hypothesized that there would be (1) gender-, (2) age-, and (3) psychological state-specific differences in smartphone usage.

Methods

We conducted psychological tests, obtained participants’ weekly screen times, and performed ordinary least squares (OLS) regression and k-means clustering.

Results

Twenty-four female participants and 25 male participants were analyzed. Only the subjective loneliness indicated statistical significance between genders. OLS regression analysis indicated that among females, age showed a negative coefficient (age, −76.5), and both the social anxiety (LSAS-J, 20.0) and loneliness (UCLA-LS, −44.5) had significant coefficients. In contrast, among males, age had no significant coefficients, and only the depression (BDI-III, 77.7) showed a significant positive relationship.

Conclusions

Our findings suggest that smartphone users' motivations and practicalities differ by gender and age group. To support these findings, further studies with larger sample sizes and more variables should be conducted.