The bidirectional longitudinal association between depressive symptoms and HbA<sub>1c</sub>: A systematic review and meta‐analysis
Bibliographic record
Abstract
Abstract Aim To investigate whether there is a bidirectional longitudinal association of depression with HbA 1c . Methods We conducted a systematic literature search in PubMed, PsycINFO, CINAHL and EMBASE for observational, longitudinal studies published from January 2000 to September 2020, assessing the association between depression and HbA 1c in adults. We assessed study quality with the Newcastle‐Ottawa‐Scale. Pooled effect estimates were reported as partial correlation coefficients (r p ) or odds ratios (OR). Results We retrieved 1642 studies; 26 studies were included in the systematic review and eleven in the meta‐analysis. Most studies (16/26) focused on type 2 diabetes. Study quality was rated as good (n = 19), fair (n = 2) and poor (n = 5). Of the meta‐analysed studies, six investigated the longitudinal association between self‐reported depressive symptoms and HbA 1c and five the reverse longitudinal association, with a combined sample size of n = 48,793 and a mean follow‐up of 2 years. Higher levels of baseline depressive symptoms were associated with subsequent higher levels of HbA 1c (partial r = 0.07; [95% CI 0.03, 0.12]; I 2 38%). Higher baseline HbA 1c values were also associated with 18% increased risk of (probable) depression (OR = 1.18; [95% CI 1.12,1.25]; I 2 0.0%). Conclusions Our findings support a bidirectional longitudinal association between depressive symptoms and HbA 1c . However, the observed effect sizes were small and future research in large‐scale longitudinal studies is needed to confirm this association. Future studies should investigate the role of type of diabetes and depression, diabetes distress and diabetes self‐management behaviours. Our results may have clinical implications, as depressive symptoms and HbA 1c levels could be targeted concurrently in the prevention and treatment of diabetes and depression. Registration PROSPERO ID CRD42019147551.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.052 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.033 |
| Bibliometrics | 0.006 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".