Disease areas:
  • nutrition and metabolism
Last updated:
Author(s):
Arie Nouwen, Sonya S Deschênes, Zhanna Balkhiyarova, Juan R Albertorio-Díaz, Inga Prokopenko, Norbert Schmitz
Publish date:
27 May 2021
Journal:
Journal of Affective Disorders
PubMed ID:
34139403

Abstract

BACKGROUND: The prevalence of depression is higher among those with diabetes than in the general population. The Patient Health Questionnaire (PHQ-9) is commonly used to assess depression in people with diabetes, but measurement invariance of the PHQ-9 across groups of people with and without diabetes has not yet been investigated.

METHODS: Data from three independent cohorts from the USA (n=1,886 with diabetes, n=4,153 without diabetes), Quebec, Canada (n= 800 with diabetes, n= 2,411 without diabetes), and the UK (n=4,981 with diabetes, n=145,570 without diabetes), were used to examine measurement invariance between adults with and without diabetes. A series of multiple group confirmatory factor analyses were performed, with increasingly stringent model constraints applied to assess configural, equal thresholds, and equal thresholds and loadings invariance, respectively. One-factor and two-factor (somatic and cognitive-affective items) models were examined.

RESULTS: Results demonstrated that the most stringent models, testing equal loadings and thresholds, had satisfactory model fit in the three cohorts for one-factor models (RMSEA = .063 or below and CFI = .978 or above) and two-factor models (RMSEA = .042 or below and CFI = .989 or above).

LIMITATIONS: Data were from Western countries only and we could not distinguish between type of diabetes.

CONCLUSIONS: Results provide support for measurement invariance between groups of people with and without diabetes, using either a one-factor or a two-factor model. While the two-factor solution has a slightly better fit, the one-factor solution is more parsimonious. Depending on research or clinical needs, both factor structures can be used.

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Rationale: People with diabetes have an increased risk of developing depression, while people with depression have an increased risk of developing diabetes. Although the exact…

Institution:
Imperial College London, Great Britain

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