Association between depression symptoms and moderately increased levels of the inflammation marker albuminuria is explained by age and comorbidity

Sci Rep. 2022 May 25;12(1):8828. doi: 10.1038/s41598-022-12635-1.

Abstract

The study aimed to examine whether there are associations between depression symptoms and levels of the inflammation marker albuminuria. The 8303 participants in this cross-sectional study were subjects from the second survey of the Trøndelag Health Study (HUNT, Norway). Depression symptoms were assessed by the Hospital Anxiety and Depression Scale (HADS). Logistic regression analysis was performed to estimate the odds ratio (OR) for moderately increased albuminuria (ACR ≥ 3.0 mg/mmol) according to different HADS-depression (D) subgroups and -scores. Unadjusted ORs for moderately increased albuminuria were significantly increased in those with HADS-D ≥ 8 (OR 1.27, 95% CI 1.05-1.54, p = 0.013) and HADS-D ≥ 11 (OR 1.59, 95% CI 1.19-2.14, p = 0.002). After adjusting for age and sex, only HADS-D ≥ 11 was significantly associated with ACR ≥ 3.0 mg/mmol (OR 1.46, 95% CI 1.08-1.98, p = 0.014), and after multivariable adjustments for cardiovascular risk factors and comorbidity, there were no significant associations. However, adjusting for the interaction between age and HADS-D strengthened the association in linear regression models. The positive and significant association between moderately increased albuminuria and symptoms of depression found in unadjusted analyses weakened and disappeared after adjustments. Although individuals with depressive symptoms had albuminuria more often than individuals without such symptoms, and the association seemed to change with age, albuminuria may reflect other comorbidity and inflammation conditions than the depression symptomatology measured in this study.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Albuminuria* / epidemiology
  • Biomarkers
  • Comorbidity
  • Cross-Sectional Studies
  • Depression* / complications
  • Humans
  • Inflammation
  • Norway / epidemiology

Substances

  • Biomarkers