An Academic and Practice Partnership to Assess the Behavioral Health Needs of Nebraska

Grimm, Brandon; Watanabe‐Galloway, Shinobu; Palm, David; Pounds, Leanne C; Deras, Marlene; Dawson, Sheri; Wittmuss, Linda; Smith, Brittney L.; Haakenstad, Ellana

doi:10.1007/s10597-018-0303-3

Cited by 3 publications

(1 citation statement)

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“…This pattern is not an artifact of the BRFSS data and has been noted in prior years of collection [ 54 ]. These states are largely underserved by mental health professionals and have low availability of services, leading to artificially low rates of mental illness diagnoses [ 55 ]. In addition, these states contain large low-income populations, which may lead to low health care access and make them difficult to reach by the state-based BRFSS survey.…”

Section: Discussionmentioning

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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Section: Discussionmentioning

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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What can we learn from the Jerusalem Community–Academic Partnership case study in an ultra-orthodox neighborhood?

Donchin,

Bar-Zeev,

Levine

et al. 2024

Glob Health Promot

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Community–academic partnerships can be useful models for sustainable interventions. The Jerusalem Community–Academic Partnership (J-CAP) was established to address local health needs identified by a population survey. It engaged stakeholders and public health students as part of their training. We describe the establishment and processes of this partnership over a 3-year period. Part 1 of the program entailed mapping and undertaking a quality assessment of health promotion (HP) programs in Jerusalem. Part 2 (Years 2 and 3), described herein, entailed a participatory process wherein a particular neighborhood, with a predominantly Ultra-Orthodox population, was chosen for intervention. A local steering committee was set up, and students assessed assets and needs by direct observation, in-depth interviews, and focus groups, followed by the development of intervention programs using a participatory process. Neighborhood assets and needs identified in the first year served as a basis for the participatory process of developing intervention programs. Assets identified included the local community center and swimming pool. Barriers to a healthy lifestyle included a lack of health literacy, time constraints, socioeconomic factors, and local lifestyle and environmental characteristics. Students focused on public spaces, preschool children, and young women and mothers when designing, together with local leaders, intervention programs related to healthy nutrition and physical activity. The participatory process contributed to strengthening partnerships among several services and agencies investing in the health of Jerusalem residents. The students’ critical service-learning contributed to their understanding of HP in the real world and the local community. The students’ reports, which were submitted to the community center management, could serve to inform future interventions.

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

Beauchamp¹,

Lehmann²,

Medford³

et al. 2022

Preprint

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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. CLINICALTRIAL

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An Academic and Practice Partnership to Assess the Behavioral Health Needs of Nebraska

Cited by 3 publications

References 1 publication

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

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

What can we learn from the Jerusalem Community–Academic Partnership case study in an ultra-orthodox neighborhood?

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

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