Surveying social network geography to model long-distance travel

Aultman-Hall, Lisa; LaMondia, Jeffrey J.; Ullman, Hannah; Suender, Madeline

doi:10.1016/j.trpro.2018.10.027

Cited by 6 publications

(1 citation statement)

References 15 publications

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“…Occupation is associated with depression through job-related psychosocial stressors and socioeconomic status [33][34][35], and occupation-related travel expands the geographic reach of occupational and social networks [36][37][38]. Therefore, we incorporated information from the American Community Survey occupation by industry tables into our analysis.…”

Section: Methodsmentioning

confidence: 99%

The Association of a Geographically Wide Social Media Network on Depression: County-Level Ecological Analysis

Beauchamp¹,

Lehmann²,

Medford³

et al. 2023

J Med Internet Res

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Background Social connectedness decreases human mortality, improves cancer survival, cardiovascular health, and body mass, results in better-controlled glucose levels, and strengthens mental health. However, few public health studies have leveraged large social media data sets to classify user network structure and geographic reach rather than the sole use of social media platforms. Objective The objective of this study was to determine the association between population-level digital social connectedness and reach and depression in the population across geographies of the United States. Methods Our study used an ecological assessment of aggregated, cross-sectional population measures of social connectedness, and self-reported depression across all counties in the United States. This study included all 3142 counties in the contiguous United States. We used measures obtained between 2018 and 2020 for adult residents in the study area. The study’s main exposure of interest is the Social Connectedness Index (SCI), a pair-wise composite index describing the “strength of connectedness between 2 geographic areas as represented by Facebook friendship ties.” This measure describes the density and geographical reach of average county residents’ social network using Facebook friendships and can differentiate between local and long-distance Facebook connections. The study’s outcome of interest is self-reported depressive disorder as published by the Centers for Disease Control and Prevention. Results On average, 21% (21/100) of all adult residents in the United States reported a depressive disorder. Depression frequency was the lowest for counties in the Northeast (18.6%) and was highest for southern counties (22.4%). Social networks in northeastern counties involved moderately local connections (SCI 5-10 the 20th percentile for n=70, 36% of counties), whereas social networks in Midwest, southern, and western counties contained mostly local connections (SCI 1-2 the 20th percentile for n=598, 56.7%, n=401, 28.2%, and n=159, 38.4%, respectively). As the quantity and distance that social connections span (ie, SCI) increased, the prevalence of depressive disorders decreased by 0.3% (SE 0.1%) per rank. Conclusions Social connectedness and depression showed, after adjusting for confounding factors such as income, education, cohabitation, natural resources, employment categories, accessibility, and urbanicity, that a greater social connectedness score is associated with a decreased prevalence of depression.

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