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Differences in mobile phone affinity between demographic groups: implications for mobile phone delivered

Marie A Sillice^1,2, Shira Dunsiger^1,3, Ernestine Jennings^1,3

¹Department of Psychiatry and Human Behavior, Alpert Medical School, Brown University, Providence, RI, USA.

|October 27, 2018

Summary

Mobile phone use attitudes differ significantly across demographic groups, impacting mHealth interventions. Understanding these mobile phone affinity differences is key for tailored program design.

Keywords:

Mobile phone affinity demographic differences mobile phone use patterns

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Area of Science:

Digital Health
Human-Computer Interaction
Sociology

Background:

Mobile health (mHealth) intervention effectiveness can be influenced by individual mobile phone usage patterns.
Limited research exists on how demographic factors shape attitudes and preferences toward mobile phone use.
Understanding these variations is crucial for optimizing mHealth program engagement across diverse populations.

Purpose of the Study:

To investigate the influence of primary demographics (race, ethnicity, gender, age) on mobile phone use attitudes and behaviors.
To assess the relationship between social demographic characteristics and mobile phone usage patterns.
To utilize the Mobile Phone Affinity Scale (MPAS) to explore six constructs of mobile phone engagement: Connectedness, Productivity, Empowerment, Anxious Attachment, Addiction, and Continuous Use.

Main Methods:

A survey of 1,055 U.S. adults, including demographic information and the MPAS.
Analysis of primary demographic (PD) and social demographic (SocD) variables in relation to MPAS constructs.
Employed Chi-square and multivariate analyses to determine significant associations.

Main Results:

Significant demographic differences were observed in mobile phone use attitudes and behaviors (P<0.01).
Race and gender influenced MPAS scores, with white individuals and women scoring higher on certain constructs.
Social demographics like employment and living situation also showed differential associations with mobile phone engagement.

Conclusions:

Mobile phone usage attitudes and preferences vary based on primary and social demographic characteristics.
These findings highlight the need for tailored mHealth interventions to enhance appeal and effectiveness among diverse subgroups.
Recognizing demographic influences is essential for designing inclusive and impactful mHealth strategies.