Depression prevalence in Type 2 diabetes is not related to diabetes-depression symptom overlap but is related to symptom dimensions within patient self-report measures: a meta-analysis.

Autor: Harding KA; VA Puget Sound Healthcare System, Seattle, WA, USA., Pushpanathan ME; School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia., Whitworth SR; Australian Government Department of Health, Canberra, Australia., Nanthakumar S; School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia., Bucks RS; School of Psychological Science, University of Western Australia, Perth, Western Australia, Australia., Skinner TC; Department of Psychology, University of Copenhagen, Copenhagen, Denmark.
Jazyk: angličtina
Zdroj: Diabetic medicine : a journal of the British Diabetic Association [Diabet Med] 2019 Dec; Vol. 36 (12), pp. 1600-1611. Date of Electronic Publication: 2019 Sep 29.
DOI: 10.1111/dme.14139
Abstrakt: Aim: Depression is common in Type 2 diabetes, yet rates vary. Overlap between symptoms of depression and diabetes may account for this variability in depression prevalence rates. We examined to what extent depression prevalence was a function of the proportion of depression-diabetes symptom overlap (items within symptom dimensions) and sample characteristics.
Methods: Electronic and hand searching of published and unpublished works identified 147 eligible papers. Of 3656 screened, 147 studies (149 samples, N = 17-229 047, mean sample age 25.4-82.8 years, with 152 prevalence estimates), using 24 validated depression questionnaires were selected. Sample size, publication type, sample type, gender, age, BMI, HbA 1c , depression questionnaire and prevalence rates were extracted.
Results: Prevalence rates ranged from 1.8% to 88% (mean = 28.30%) and were higher in younger samples, samples with higher mean HbA 1c and clinic samples. Diabetes-depression symptom overlap did not affect prevalence. A higher proportion of anhedonia, cognition, cognitive, negative affect and sleep disturbance symptoms, and a lower proportion of somatic symptoms were consistently associated with higher depression prevalence.
Conclusions: The lack of an overall effect of diabetes-depression symptom overlap might suggest that assessment of depression in Type 2 diabetes is generally not confounded by co-occuring symptoms. However, questionnaires with proportionally more or fewer items measuring other symptom categories were associated with higher estimates of depression prevalence. Depression measures that focus on the cardinal symptoms of depression (e.g. negative affect and cognition), limiting symptoms associated with increasing diabetes symptomatology (e.g. sleep disturbance, cognitive) may most accurately diagnose depression.
(© 2019 Diabetes UK.)
Databáze: MEDLINE
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