Loneliness and Mental Health: Recommendations for Primary Care Intakes

• Published in: Journal of primary care & community health Vol. 12; p. 21501327211027104
• Main Authors: Godfrey, Marissa, Liu, Pi-Ju, Wang, Aining, Wood, Stacey
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 2021; SAGE PUBLICATIONS, INC; SAGE Publishing
• Subjects: Complaints; Family income; Friendship; Health problems; Health status; Health surveys; Households; Loneliness; Medical personnel; Medical referrals; Mental disorders; Mental health; Mental health care; Original Research; Primary care; Race; Religiosity; Social integration; Variables; primary care; screening; loneliness; physical health; mental health
• ISSN: 2150-1319; 2150-1327
• DOI: 10.1177/21501327211027104

Introduction/Objectives
The healthcare intake process plays a significant role in informing medical personnel about patients’ demographic information, subjective health status, and health complaints. Intake forms can help providers personalize care to assist patients in getting proper referrals and treatment. Previous studies examined factors that could be included in intake forms independently, but this study analyzed loneliness, religiousness, household income, and social integration together to see how the combined effect influences mental and physical health status. This study aims to determine which of those 4 variables better inform patients’ mental versus physical health status.
Methods
One hundred and seventy-nine participants completed surveys, including the SF-12® Health Survey, measuring perceived physical and mental health, UCLA 3-item Loneliness Scale, and a demographics questionnaire with questions about household income and time spent dedicated to religious practice, if applicable. Additionally, individuals answered social integration questions about how often they contact close family and friends or volunteer in the community. Using loneliness, household income, religiousness, social integration as independent variables, and controlling for demographic variables such as age, gender, and race, 2 regression models were built with Mental and Physical Health Composite Scores from the the SF-12® Health Survey as dependent variables.
Results
Loneliness was associated with mental health measures (b = −2.190, P < .001), while household income was associated with physical health measures (b = 0.604, P = .019) above and beyond other variables in the regression models.
Conclusions
Integrating the 3 loneliness questions into intake forms can help approximate an individual’s mental health status. This would allow the provider to be able to assess mental health problems more effectively and provide needed resources.