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. Author manuscript; available in PMC: 2014 Jul 30.
Published in final edited form as: Circulation. 2013 Jul 30;128(5):553–565. doi: 10.1161/CIRCULATIONAHA.112.001119

Table 3.

Effect of Seed Consumption on CVD Outcomes Based on Selected Meta-analyses of Findings of Epidemiologic Studies and Randomized Clinical Trials

Author (year) (reference) Type of study n Population Follow-up Outcomes Effect of increased seed consumption* (numbers between brackets are 95% confidence intervals)
Whole grains
Ye (2012) (45) Meta-analysis of 8 cohort studies 298,592 Generally healthy 6 to 14 y Incident CVD RR=0.79 (0.74-0.85)
Meta-analysis of 6 cohort studies 288,319 Generally healthy 6 to 12 y Incident T2DM RR=0.74 (0.69-0.80)
Meta-analysis of 21 RCTs Not available Healthy or patients with HC or hypertension 4 to 16 wk Lipid profile Δ Total cholesterol: –0.83 mmol/L (–1.24 to –0.42)
Δ LDL-cholesterol: –0.72 mmol/L (–1.34 to –0.11)
Glycemic control Δ Fasting glucose: –0.93 mmol/L (–1.65 to –0.21)
de Munter (2007) (46) Meta-analysis of 6 cohort studies 286,125 Generally healthy populations 6 to 18 y Incident T2DM 21% (13%-28%) risk reduction for a 2-serving/d increment

Nuts
Kris-Etherton (2008) (47) Pooled analysis of 4 U.S. prospective studies 135,604 CVD-free men and women 6 to 17 y Incident CHD RR=0.65 (0.47-0.89)
Banel & Hu (2009) (48) Meta-analysis of 13 walnut RCTs 365 Subjects with normal lipids or HC 4 to 24 wk Lipid profile Δ Total cholesterol: –0.27 mmol/L (–0.38 to –0.15)
Δ LDL-cholesterol: –0.24 mmol/L (–0.34 to –0.14)
Sabaté (2010) (49) Pooled analysis of 27 nut RCTs 583 Subjects with normal lipids or HC 3 to 8 wk Lipid profile Δ Total cholesterol: –0.28 mmol/L (–0.37 to –0.20)
Δ LDL-cholesterol: –0.26 mmol/L (–0.34 to –0.19)

Pulses
Bazzano (2011) (50) Meta-analysis of 10 RCTs 268 Subjects with normal lipids or HC 3 to 8 wk Lipid profile Δ Total cholesterol: –0.31 mmol/L (–0.42 to –0.19)
Δ LDL-cholesterol: –0.21 mmol/L (–0.30 to –0.12)
Δ Triglycerides: –1.67 mmmol/l (–3.63 to 0) (Results as SMD)
Sievenpiper (2009) (51) Meta-analysis of 11 RCTs of pulses alone 253 Subjects with T2DM, normoglycemia or HC 1 to 96 wk Glycemic control Fasting glucose: –0.82 (–1.36 to –0.27)
Fasting insulin: –0.49 (–0.93 to –0.04)
Meta-analysis of 19 RCTs of pulses in low-GI diets
Meta-analysis of 11RCTs of pulses in high-fiber diets
72
641
Subjects with type-1 diabetes, T2DM or normoglycemia
Subjects with type-1 diabetes, T2DM or normoglycemia
2 to 52 wk
1.4 to 156 wk
HbA1c: –0.28 (–0.42 to –0.14)
Fasting glucose: –0.32 (–0.49 to –0.15)
HbA1c: –0.27 (–0.45 to –0.09)

Chocolate
Buitrago-Lopez (2011) (52) Meta-analysis of 5 prospective studies 60,455 CVD-free men and women (patients with prior CHD in one study) 8 to 16 y Incident CVD RR=0.63 (0.44-0.90)
Stroke RR=0.71 (0.52-0.98)
Larsson (2012) (53) Meta-analysis of 5 prospective studies 131,3455 CVD-free men and women (patients with prior CHD in one study) 8 to 16 y Stroke RR=0.81 (0.73-0.90)
Tokede (2011) (54) Meta-analysis of 10 RCTs 320 Healthy subjects or subjects with CVD risk factors 2 to 12 wk Lipid profile Δ Total cholesterol: –0.16 mmol/L (–0.30 to –0.02)
Δ LDL-cholesterol: –0.15 mmol/L (–0.27 to –0.03)
Hooper (2012) (55) Meta-analysis of 21 RCTs reporting lipid outcomes 290 Healthy subjects or subjects with CVD risk factors 2 to 26 wk Lipid profile Δ LDL-cholesterol: –0.07 mmol/L (–0.14 to –0.0)
Δ HDL-cholesterol: 0.03 mmol/L (0.0-0.06)
Meta-analysis of 6 RCTs reporting glycemic control 91 Healthy subjects or subjects with CVD risk factors 2 to 26 wk Glycemic control Δ Insulin: –2.65 μU/mL (–4.65 to –0.65)
Δ HOMA-IR: –0.67 (–0.98 to –0.36)
Meta-analysis of 22 RCTs reporting blood pressure 918 Healthy subjects or subjects with CVD risk factors 2 to 18 wk Blood pressure Δ DBP: –1.60 mm Hg (–2.77 to –0.43)
Meta-analysis of 11 acute RCTs on postprandial FMD 373 Healthy subjects or subjects with CVD risk factors 90 to 150 min FMD Δ FMD: 3.19% (2.04-4.33)
Meta-analysis of 11 chronic RCTs reporting FMD 382 Healthy subjects or subjects with CVD risk factors 2 to 18 wk FMD Δ FMD: 1.34% (1.00-1.68)
Ried (2012) (56) Meta-analysis of 20 RCTs 865 Healthy subjects or subjects with CVD risk factors 2 to 18 wk Blood pressure Δ SBP: –2.77 mm Hg (–−4.72 to –0.82)
Δ DBP: –2.30 mm Hg (–3.46 to –0.93)

Coffee
Wu (2009) (57) Meta-analysis of 21 cohort studies 407,806 Generally healthy 4 to 32 y Incident CHD RR=0.82 (0.73-0.92) in women
RR=0.87 (0.80-0.86) in men and women followed
≤ 10 y
Larsson (2011) (58) Meta-analysis of 11 cohort studies 479,689 Generally healthy 2 to 20.8 y Incident stroke RR=0.86 (0.78-0.94) for 2 cups of coffee/d
RR=0.83 (0.74-0.92) for 3-4 cups/d
RR=0.87 (0.77-0.97) for 6 cups/d
RR=0.93 (0.79-1.08) for 8 cups/d
Mostofsky (2012) (59) Meta-analysis of 5 cohort studies 140,220 Generally healthy or patients with myocardial infarction 8 to 35 y Incident congestive heart failure RR=0.90 (0.82-0.99) for 3 to 4 cups/d
RR=0.89 (0.81-0.99) for 4 to 5 cups/d
Huxley (2009) (60) Meta-analysis of 18 cohort studies 457,922 Generally healthy 2.6 to 20 y Incident T2DM 7% (9%-5%) risk reduction for each additional cup of coffee/d
25% (18%-31%) risk reduction for consumption of 3 to 4 cups of coffee/d
Meta-analysis of 6 cohort studies 225,516 Generally healthy 8.4 to 12 y Incident T2DM RR=0.64 (0.54-0.77) for 3 to 4 cups/d of decaffeinated coffee
Zhang (2011) (61) Meta-analysis of 6 cohort studies 172,567 Generally healthy 6.4 to 33 y Incident hypertension Habitual coffee consumption of >3 cups/d was not associated with an increased risk of hypertension compared with <1 cup/d
Slightly elevated risk associated with light-to-moderate consumption of 1 to 3 cups/d (RR for comparison of 3 with 0 cups/d: 1.07 (0.97-1.20)

CVD indicates cardiovascular disease; T2DM, type 2 diabetes mellitus; CHD, coronary heart disease; RR, relative risk; CI, 95% confidence interval; RCT, randomized controlled trial; HC, hypercholesterolemia; SMD, standardized mean difference; GI, glycemic index; HOMA-IR, insulin resistance index; FMD, flow-mediated dilatation; DBP, diastolic blood pressure; SBP, systolic blood pressure..

*

Risk ratios in meta-analyses of epidemiologic studies, usually adjusted for multiple confounders, are for highest versus lowest categories of consumption or increased servings/d, as specified. Outcome changes (Δ) are means for average doses of seeds or seed products in seed diets compared to control diets in meta-analyses of RCTs; only statistically significant changes are shown. Values between brackets are 95% confidence intervals.

SMDs are interpreted as follows: <0.4, small effect size; 0.4–0.7, moderate effect size; and >0.7, large effect size.