Psychological and social resources relate to biomarkers of allostasis in newly admitted nursing home residents

Abstract

Objectives: This paper presents preliminary baseline data from a prospective study of nursing home adaptation that attempts to capture the complexity of residents' adaptive resources by examining psychological, social, and biological variables from a longitudinal conceptual framework. Our emphasis was on validating an index of allostasis.

Method: In a sample of 26 long-term care patients, we measured 6 hormone and protein biomarkers to capture the concept of allostasis as an index of physiological resilience, related to other baseline resources, including frailty, hope and optimism, social support, and mental health history, collected via interview with the resident and collaterals. We also examined the performance of self-report measures reflecting psychosocial and well-being constructs, given the prevalence of cognitive impairment in nursing homes.

Results: Our results supported both the psychometric stability of our self-report measures, and the preliminary validity of our index of allostasis. Each biomarker was associated with at least one other resilience resource, suggesting that our choice of biomarkers was appropriate. As a group, the biomarkers showed good correspondence with the majority of other resource variables, and our standardized summation score was also associated with physical, social, and psychological resilience resources, including those reflecting physical and mental health vulnerability as well as positive resources of social support, optimism, and hope.

Conclusion: Although these results are based on a small sample, the effect sizes were large enough to confer some confidence in the value of pursuing further research relating biomarkers of allostasis to psychological and physical resources and well-being.

Keywords:

• nursing homes
• allostasis
• biomarkers
• well-being
• resilience

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This research was supported by the National Institute of Mental Health, Suzanne Meeks [grant number R01 MH092317]; PI. Michael Rovine was also supported by the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health [grant number UL1 TR000127].