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

Exploring Factors Associated With Mobile Phone Behaviors and Attitudes Toward Technology Among Adults With Alcohol Use Disorder and Implications for mHealth Interventions: Exploratory Study

BACKGROUND

Alcohol use disorder (AUD) is associated with severe chronic medical conditions and premature mortality. Expanding the reach or access to effective evidence-based treatments to help persons with AUD is a public health objective. Mobile phone or smartphone technology has the potential to increase the dissemination of clinical and behavioral interventions (mobile health interventions) that increase the initiation and maintenance of sobriety among individuals with AUD. Studies about how this group uses their mobile phone and their attitudes toward technology may have meaningful implications for participant engagement with these interventions.

OBJECTIVE

This exploratory study examined the potential relationships among demographic characteristics (race, gender, age, marital status, and income), substance use characteristics (frequency of alcohol and cannabis use), and clinical variables (anxiety and depression symptoms) with indicators of mobile phone use behaviors and attitudes toward technology.

METHODS

A sample of 71 adults with AUD (mean age 42.9, SD 10.9 years) engaged in an alcohol partial hospitalization program completed 4 subscales from the Media Technology Usage and Attitudes assessment: Smartphone Usage measures various mobile phone behaviors and activities, Positive Attitudes and Negative Attitudes measure attitudes toward technology, and the Technological Anxiety/Dependence measure assesses level of anxiety when individuals are separated from their phone and dependence on this device. Participants also provided demographic information and completed the Epidemiologic Studies Depression Scale (CES-D) and the Generalized Anxiety Disorder (GAD-7) scale. Lastly, participants reported their frequency of alcohol use over the past 3 months using the Drug Use Frequency Scale.

RESULTS

Results for the demographic factors showed a significant main effect for age, Smartphone Usage (P=.003; ηp2=0.14), and Positive Attitudes (P=.01; ηp2=0.07). Marital status (P=.03; ηp2=0.13) and income (P=.03; ηp2=0.14) were associated only with the Technological Anxiety and Dependence subscale. Moreover, a significant trend was found for alcohol use and the Technological Anxiety/Dependence subscale (P=.06; R2=0.02). Lastly, CES-D scores (P=.03; R2=0.08) and GAD symptoms (P=.004; R2=0.13) were significant predictors only of the Technological Anxiety/Dependence subscale.

CONCLUSIONS

Findings indicate differences in mobile phone use patterns and attitudes toward technology across demographic, substance use, and clinical measures among patients with AUD. These results may help inform the development of future mHealth interventions among this population.

Notification alert! Effects of auditory text alerts on attention and heart rate variability across three developmental periods

In a modern world saturated with cellphone-related stimuli, surprisingly little is known about their psychological effects. A small number of previous studies have found global distracting effects of cellphone rings on cognitive performance in undergraduate students. However, moment-to-moment reactions to cellphone sounds have not been investigated, nor have physiological changes that might accompany the cognitive effects. Developmental variations also remain unexamined. Thus, two experiments were conducted to examine the effects of cellphone notification sounds on cognitive performance (i.e., reaction time and accuracy on math problems) and heart rate variability in three age groups: adolescents (mean age: 15 years); young adults (mean age: 20 years); and mid-life adults (mean age: 48 years). Effects were most pronounced in the adolescent group, whose math problem accuracy and reaction time was compromised in response to notification sounds. These compromises were accompanied by increases in heart rate variability.

Still striding toward social justice? Redirecting physical activity research in a post-COVID-19 world

The COVID-19 crisis and parallel Black Lives Matter movement have amplified longstanding systemic injustices among people of color (POC). POC have been differentially affected by COVID-19, reflecting the disproportionate burden of ongoing chronic health challenges associated with socioeconomic inequalities and unhealthy behaviors, including a lack of physical activity. Clear and well-established benefits link daily physical activity to health and well-being—physical, mental, and existential. Despite these benefits, POC face additional barriers to participation. Thus, increasing physical activity among POC requires additional considerations so that POC can receive the same opportunities to safely participate in physical activity as Americans who are White. Framed within the Ecologic Model of Physical Activity, this commentary briefly describes health disparities in COVID-19, physical activity, and chronic disease experienced by POC; outlines underlying putative mechanisms that connect these disparities; and offers potential solutions to reduce these disparities. As behavioral medicine leaders, we advocate that solutions must redirect the focus of behavioral research toward community-informed and systems solutions.

"Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression

While the HCI field increasingly examines how digital tools can support individuals in managing mental health conditions, it remains unclear how these tools can accommodate these conditions' temporal aspects. Based on weekly interviews with five individuals with depression, conducted over six weeks, this study identifies design opportunities and challenges related to extending technology-based support across fluctuating symptoms. Our findings suggest that participants perceive events and contexts in daily life to have marked impact on their symptoms. Results also illustrate that ebbs and flows in symptoms profoundly affect how individuals practice depression self-management. While digital tools often aim to reach individuals while they feel depressed, we suggest they should also engage individuals when they are less symptomatic, leveraging their energy and motivation to build habits, establish plans and goals, and generate and organize content to prepare for symptom onset.

African American women's relationship with their mobile phone, and what they want in a mobile delivered physical activity intervention: guidance for intervention development

BACKGROUND

Mobile phone text messaging is an emerging platform in physical activity (PA) interventions with African American (AA) women. Research on the relationship that AA women have with their mobile phone as well as their views about text messaging as a potentially viable platform to help them acquire and maintain regular PA is central in advancing this field of research. Both self-report measures and qualitative interviews may be helpful in this endeavor.

METHODS

In the current study, a sample of 42 generally physically inactive AA women (mean age =35, SD =10.25) completed the Mobile Phone Affinity Scale (MPAS), which consists of six subscales that represent both positive (Connectedness, Productivity, Empowerment) and negative (Continuous Use, Anxious Attachment, Addiction) cognitions and behaviors that are associated with mobile phone use patterns. A subgroup of twenty participants completed a semi-structured qualitative interview that explored their views of text messaging technology as a potential platform to help become and remain physically active. Quantitative analyses included frequency and analyses of variance (ANOVAs) and assessed mobile phone use patterns and demographic differences based on age, marital status and education on the MPAS. Qualitative content analysis was conducted on participants' verbatim responses.

RESULTS

Results indicated that participants overall endorsed the positive MPAS subscales at a higher frequency compared to the negative subscales. Demographic differences were noted only for age and marital status for some of the MPAS subscales. Younger participants reported higher mean scores for the MPAS subscales Connectedness (P=0.005), Empowerment/Safety (P=0.04), Continuous Use (P=0.04), and Addiction (P=0.004) in comparison to older participants. Significant results for marital status showed single participants were higher on the Connectedness (P=0.02) and Productivity (P=0.01) subscales compared to married participants. Qualitative data showed that 19 of the 20 participants (95%) viewed text messaging as an appealing platform to deliver daily motivational messages to increase PA engagement. Participants stated a text messaging PA intervention would be "convenient" and "motivating". However, most participants suggested that other mobile phone technology applications in addition to text messaging would facilitate self-monitoring PA behaviors (e.g., goal setting, activity tracking) in mobile phone delivered (mHealth) PA interventions targeting AA women.

CONCLUSIONS

The study findings provide guidance in the development of mHealth intervention approaches for PA promotion that are likely to appeal to AA women, increase engagement, and behavior change among this group.