The findings support that health care providers developing care plans for individuals with diabetes need to include assessments and interventions that address both the physical and psychosocial needs of patients.
Loneliness and depression are mental health problems prevailing in United States as well as the world. The primary goal of this study was to identify risk and protective factors associated with loneliness and depression at the individual, interpersonal and community levels among adults living on Mississippi Gulf Coast. Survey data on 310 adults from three coastal counties was analysed. Bivariate analyses and multiple logistic regression analyses were performed to determine correlates and predictors of loneliness and depression. Bivariate analyses showed that loneliness was correlated with marital status, insurance, income, perceived social support and community resilience. Depression was found to be correlated with marital status, insurance, education, income, perceived social support and community resilience. As expected, a significant correlation was found between loneliness and depression. Multiple logistic regression analyses revealed that race, marital status, income, perceived social support and community resilience predicted loneliness, while income and perceived social support served as predictors of depression. Results make it clear that in addition to addressing individual and interpersonal factors, community is important in reducing the incidence of loneliness.
The Mental and Behavioral Health (MBH) Capacity Project had a mission shared among 4 states to support MBH sustainability along the Gulf Coast. Integration of mental health into undersourced primary health clinics was an important goal of the project. The findings from the collaborative evaluation demonstrate long-term outcomes including the following: community has greater capacity and sustainability for quality health care; better informed and connected communities; and individuals are more informed, connected, and resilient. Lessons learned indicate that improved population health outcomes are possible even in low-income, high-stress regions through intentional and collaborative efforts integrating MBH into primary cares settings.
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