Development and validation of an intrinsic capacity composite score in the Longitudinal Aging Study Amsterdam: a formative approach

Aging Clin Exp Res. 2023 Apr;35(4):815-825. doi: 10.1007/s40520-023-02366-2. Epub 2023 Feb 23.

Abstract

Background: Intrinsic capacity (IC) defined by the WHO refers to the composite of five domains of capacities. So far, developing and validating a standardized overall score of the concept have been challenging partly because its conceptual framework has been unclear. We consider that a person's IC is determined by its domain-specific indicators suggesting a formative measurement model.

Aims: To develop an IC score applying a formative approach and assess its validity.

Methods: The study sample (n = 1908) consisted of 57-88-year-old participants from the Longitudinal Aging Study Amsterdam (LASA). We used logistic regression models to select the indicators to the IC score with 6-year functional decline as an outcome. An IC score (range 0-100) was constructed for each participant. We examined the known-groups' validity of the IC score by comparing groups based on age and number of chronic diseases. The criterion validity of the IC score was assessed with 6-year functional decline and 10-year mortality as outcomes.

Results: The constructed IC score included seven indicators covering all five domains of the construct. The mean IC score was 66.7 (SD 10.3). The scores were higher among younger participants and those who had lower number of chronic diseases. After adjustment for sociodemographic indicators, chronic diseases, and BMI, a one-point higher IC score was associated with a 7% decreased risk for 6-year functional decline and a 2% decreased risk for 10-year mortality.

Conclusions: The developed IC score demonstrated discriminative ability according to age and health status and is associated with subsequent functional decline and mortality.

Keywords: Functional ability; Healthy aging; Measurement; WHO.

MeSH terms

  • Aged
  • Aged, 80 and over
  • Aging*
  • Chronic Disease
  • Humans
  • Logistic Models
  • Longitudinal Studies