Can peripheral biomarkers reflect the psychological condition in geriatric populations? The influence of cardiovascular comorbidities

Psychogeriatrics. 2023 May;23(3):458-465. doi: 10.1111/psyg.12954. Epub 2023 Mar 9.

Abstract

Background: Although previous studies indicated the association between peripheral biomarkers and psychological conditions, a higher prevalence of cardiovascular diseases (CVD) among geriatric populations may hinder the applicability of the biomarkers. The objective of this study was to assess the adequacy of the application of biomarkers to evaluate psychological conditions among geriatric populations.

Method: We collected information on the demographics and history of CVD in all participants. All participants completed the Brief Symptom Rating Scale (BSRS-5) and the Chinese Happiness Inventory (CHI), which are the measurement of negative and positive psychological conditions, respectively. Four indicators of the peripheral biomarkers, including the standard deviation of normal to normal RR intervals (SDNN), finger temperature, skin conductance, and electromyogram were collected for each participant during a 5-min resting state. Multiple linear regression models were conducted to evaluate the association between the biomarkers and the psychological measurements (BSRS-5, CHI) with and without the inclusion of the participants with CVD.

Results: A total of 233 participants without CVD (non-CVD group) and 283 participants with CVD (CVD group) were included. The CVD group was older and with higher body mass index compared to the non-CVD group. In the multiple linear regression model with all participants, only BSRS-5 scores had a positive association with electromyogram. After the exclusion of the CVD group, the association between the BSRS-5 scores and electromyogram was more relevant, while CHI scores became positively associated with SDNN.

Conclusions: A single measurement of the peripheral biomarker may be insufficient to depict psychological conditions among geriatric populations.

Keywords: electromyogram; finger temperature; geriatric; heart rate variability; skin conductance.

MeSH terms

  • Aged
  • Biomarkers
  • Cardiovascular Diseases* / epidemiology
  • Heart*
  • Humans
  • Multivariate Analysis
  • Risk Factors

Substances

  • Biomarkers