The mediating role of depressive and anxiety symptoms in the association between obesity and problematic social media use in young adults.

BACKGROUND: Obesity has been associated with problematic internet use or internet use characterized by impulsivity, dependence, risk taking or impairment. Despite the unique affordances and growing popularity of social media, few studies have investigated obesity in relation to the problematic use of social media in contrast to general internet use. OBJECTIVE: The purpose of this study was to explore the relationship between obesity and problematic social media use and to test symptoms of anxiety and depression as potential mediators of this relationship. METHODS: A cross-sectional online survey was administered to young adults between the ages of 18-25 using the Qualtrics platform. Two mediation models were tested using model 4 of the PROCESS Macro in SPSS. RESULTS: Participants (n = 4939) were between the ages of 18-25 (M = 21.74, SD = 2.3). Participants were 50.6% female (n = 2496) and 58.1% White (n = 2871). Reporting obesity was positively associated with reporting increased levels of problematic social media use, B = 1.15, SE B = .32, t(1, 4938) = 3.59, p < .001. The indirect effects in each model from obesity to problematic social media use, through both symptoms of anxiety and depression separately, were significant, B = .14, SE B = .05, confidence interval [0.055, .231] and B = .16, SE B = .07, confidence interval [0.018, .317], respectively. CONCLUSIONS: Young adults who present both with obesity and with symptoms of depression or anxiety are more at risk for problematic social media use. These patients may benefit from education on health-promoting social media use.

The desktop, or the top of the desk? The relative usefulness of household features for personal health information management.

Sixty percent of the US population manages at least one chronic illness. For these patients, personal health information management (PHIM) is an integral part of daily life, and largely occurs within the home. However, the way in which the home supports PHIM has not been systematically investigated. The present study examined how members of the diabetic population use features of the home environment to support PHIM. Participants (N = 60) explored a simulated home environment, the VR CAVE, and identified the most useful features for performing three examples of PHIM tasks. The computer was perceived as the most useful feature for PHIM. However, perceived usefulness of features varied based on the PHIM task performed and the rooms in which features appeared. We conclude that a detailed study of the affordances of features is necessary to ease the burden of managing chronic illness, particularly diabetes mellitus, in the sociotechnical system of the home.

Home is where the head is: a distributed cognition account of personal health information management in the home among those with chronic illness.

Managing chronic illness requires personal health information management (PHIM) to be performed by lay individuals. Paramount to understanding the PHIM process is understanding the sociotechnical system in which it frequently occurs: the home environment. We combined distributed cognition theory and the patient work system model to investigate how characteristics of the home interact with the cognitive work of PHIM. We used a 3D virtual reality CAVE that enabled participants who had been diagnosed with diabetes (N = 20) to describe how they would perform PHIM in the home context. We found that PHIM is distinctly cognitive work, and rarely performed 'in the head'. Rather, features of the physical environment, tasks, people, and tools and technologies present, continuously shape and are shaped by the PHIM process. We suggest that approaches in which the individual (sans context) is considered the relevant unit of analysis overlook the pivotal role of the environment in shaping PHIM. Practitioner Summary: We examined how Personal Health Information Management (PHIM) is performed in the homes of diabetic patients. We found that approaches to studying cognition that focus on the individual, to the exclusion of their context, overlook the pivotal role of environmental, social, and technological features in shaping PHIM.