Nordic Dietary Pattern and Cardiometabolic Outcomes: A Systematic Review and Meta-Analysis of Prospective Cohort Studies and Randomized Controlled Trials
Bibliographic record
Abstract
Nordic dietary patterns may have a role in diabetes management. To inform the update of the European Association for the Study of Diabetes (EASD) clinical practice guidelines, we conducted a systematic review and meta-analysis of Nordic dietary patterns and cardiometabolic outcomes. We searched Cochrane, MEDLINE, and EMBASE through Aug 2019. We included cohort studies of ≥1 y and RCTs of ≥3 wk. Two independent reviewers extracted data and assessed risk of bias. The primary outcome was CVD in cohort studies and LDL-C in RCTs. Secondary outcomes included CHD and stroke in cohort studies and markers of glycemic control, lipids, adiposity, BP and inflammation in RCTs. Data were expressed as relative risks (RR) or mean differences (MD) with 95% confidence intervals (CI). GRADE assessed the certainty of evidence. We identified 10 cohort studies in people inclusive of diabetes and 6 RCTs in people with ≥1 risk factor (overweight/obesity, metabolic syndrome, dyslipidemia). Nordic dietary patterns were associated with lower risk of the primary outcome, total CVD (RR, 0.93 [95% CI, 0.88, 0.99]) and CVD mortality (0.83 [0.73, 0.94]), as well as stroke (0.88 [0.79, 0.98]) in cohort studies. Although Nordic dietary patterns did not reduce the primary outcome, LDL-C, in RCTs, there were reductions in other established lipid targets, non-HDL-C (MD, −0.49 mmol/L [95% CI, −0.67, −0.30]) and apo B (0.15 g/L [−0.19, −0.11]), as well as weight (2.10 kg [−3.58, −0.63]), BMI (−0.90 kg/m2 [−1.11, −0.69]), waist circumference (2.22 cm [−3.36, −1.09], diastolic BP (1.78 mmHg [−3.21, −0.35]) and insulin (7.23 pmol/L [−11.88, −2.58]). The certainty of evidence was moderate for the reductions in CVD mortality, established lipid targets, adiposity markers, and insulin and low for all other outcomes. Nordic dietary patterns are associated with decreased CVD and reduce cardiometabolic risk factors in people inclusive of or at risk for diabetes. The available data indicate a benefit for people with diabetes with a moderate likelihood that more studies will alter our estimates. (clinicaltrials.gov identifier, NCT04094194) Diabetes and Nutrition Study Group (DNSG) of the EASD, CIHR, Diabetes Canada, Joannah and Brian Lawson Center for Child Nutrition, Connaught Fund, Onassis Foundation.
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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 | 0.029 | 0.063 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.033 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".