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. 2018 Nov;148(5):569–595. doi: 10.4103/ijmr.IJMR_1780_18

Table I.

Effect of fruits and vegetables consumption on cardiovascular disease- A summary

Author Year Study Study participants (n) Outcome variable Assessment tool Major findings Confounders adjusted
Joshipura et al21 2001 Prospective cohort study 126,399 individuals (84 251 women 42 148 men) 1063 cases CHD FFQ 1 vs. 5 quintile: All FVs: RR 0.80 (0.69-0.93); GLV: 0.72 (0.63-0.83)
↑ 1 serving/day: FVs: RR 0.96 (0.94-0.99); GLV: 0.77 (0.64-0.93)
Vitamin C-rich FVs RR 0.94 (CI, 0.88-0.99)
Age, smoking, alcohol, family history of myocardial infarction, BMI
Liu et al22 2001 Physician's health study 15,220 men 1148 incident cases CHD Semi- quantitative FFQ Highest (+2.5 servings/day) vs. lowest (<1 serving/day)
Vegetable RR: 0.77 (0.60-0.98; P=0.03) adjusted↑1 serving vegetable/day
RR: 0.83 (0.71-0.98)
Results were more evident among men with higher BMI (≥25 kg/m2) Vegetable RR: 0.71 (0.55-0.99)
Smoking, alcohol, BMI, physical activity, history of diabetes, high cholesterol, hypertension and use of multivitamins
Bazzano et al23 2002 Prospective cohortstudy NHANESI 9608 individuals; 888 stroke events; 1786 IHD events; 1145 CVD deaths and 2530 all-cause mortality CVD FFQ ≥3 times/day compared vs. <1 time/day
Stroke incidence RR: 0.73 (0.57-0.95; P for trend=0.01); ↓27% stroke mortality
RR: 0.58 (0.33-1.02; P for trend=0.05); ↓42%
IHD mortality RR: 0.76 (0.56-1.03; P for trend=0.07); ↓ 24%
CVD mortality RR: 0.73 (0.58-0.92 P for trend=0.008); ↓ 27%
All-cause mortality RR: 085 (0.72-1.00; P for trend=0.02); ↓ 15%
Age, sex, race, history of diabetes, physical activity, education level, regular alcohol consumption, current cigarette smoking at baseline, vitamin supplement use, and total energy intake
Bazzano et al24 2002 Prospective cohort study NHANES I 9764 individuals; 926 stroke events; 3758 CVD events Stroke CVD Single 24 dietary recall Highest (405 µg/day) vs. lowest (99 µg/day) folate intake Stroke events RR: 0.79 (0.63-0.99, P for trend 0.03) CVD events RR: 0.86 (0.78-0.95, P for trend-0.001) Age, race, sex, systolic blood pressure, serum cholesterol, BMI, history of diabetes, physical activity, level of education, regular alcohol consumption, current cigarette smoking, saturated fat intake, and total energy intake
Rissanen et al25 2003 Prospective KIHD study 2641 men CVD-related and non-CVD - related mortality 4-day food intake record Highest (<405 g/day) vs. lowest (<133 g/day) quintile intake of berries, FVs intake: All-cause mortality RR: 0.66 (0.50-0.88) CVD mortality RR: 0.59 (0.33-1.06) Non-CVD mortality RR: 0.68 (0.46-1.00) Biochemical variables and other risk factors age, BMI, systolic blood pressure, diastolic blood pressure, plasma fibrinogen, serum insulin, blood glucose, serum total cholesterol, serum LDL cholesterol, serum haptoglobin, energy, alcohol, cholesterol, saturated fat, E%/day, fiber, vitamin E, vitamin C, folate, carotene, percentage of total smokers, hypertension, family history of ischaemic heart disease, diabetes, BMI
Yusuf et al26 2004 INTERHEART case-control study 12,461 cases and 14637 controls (52 countries) MI Structured questionnaire Daily vs. lack of daily FVs intake OR: 0·70 (0·62-0·79) Age, sex, smoking and all other risk factors for MI
Rastogi et al27 2004 Case-control study 350 cases 700 controls MI FFQ Highest (3.5 servings/day) vs. lowest (0.8 servings/day) intake MI RR: 0.33 (0.13-0.82; P for trend 0.006) for total vegetable Highest (3.5 servings/day) vs. lowest (0.5 servings/day) GLV intake MI RR: 0.33 (0.17-0.64; P for trend 0.0001) for GLV No association with fruits were noted Age; sex; hospital; cigarette smoking; bidi smoking; BMI, in kg/m2; waist-to-hip ratio; leisure time physical exercise; history of hypertension; history of diabetes; history of high cholesterol; family history of IHD; alcohol intake; education; household income; and Hindu religion
Radhika et al28 2008 CURES study 983 individuals Cardiovascular risk Validated semi- quantitative FFQ SBP β=−2·6 (−5·92-1·02 mmHg; P=0·027) BMI β=−2·3 (−2·96-1·57 kg/m2; P<0·0001), waist circumference β=−2·6 (−3·69-−1·46 cm; P<0·0001) Age, sex, smoking, alcohol and BMI adjusted
Total cholesterol (β=−50 (−113·9-−13·6 mg/l; P=0.017) and LDL-cholesterol β=−55 (−110·8-−11·1 mg/l; P=0·039) ↑ Higher intake of FVs elicited 48% protective effect against CVD risk factors
Dauchet et al29 2011 Meta-analysis of cohort studies 9 independent studies comprising 221,080 individuals and 5007 events CHD Literature searches (+1) portion FVs RR: 0.96 (0.93-0.99; P=0.0027) ↓ 4%; (+1) portion fruits RR: 0.93 (0.89-0.96; P<0.0001); ↓ 7% Vegetable intake and CHD risk was heterogeneous (P=0.0043), more marked for CVD mortality RR: 0.74 (0.75-0.84, P<0.0001) Fatal and nonfatal MI RR: 0.95 (0.92-0.99, P=0.0058) NA
Zhang et al30 2011 Cohort study 134,796 individuals 3442 deaths in women and 1951 deaths in men Total and cardiovascular mortality Validated FFQ Quintile 1 (median-133g/d) vs. quintile 5 (median-545 g/d) for FVs intake: CVD HR: 0.78 (0.71-0.85; P<0.0001 for trend) for cruciferous vegetables HR: 0.84 (0.69-1.00; P=0.03) for total vegetables HR: 0.83 (0.76-0.92; P<0.0001 for trend) for total fruit intake Age, education, occupation, family income, cigarette smoking, alcohol consumption, BMI, amount of regular exercise, multivitamin supplement use, intakes of total energy and saturated fat, menopausal status and hormone therapy use (for women only), and history of CHD, stroke, hypertension, or diabetes
Gupta et al31 2012 Jaipur Heart Watch-5 739 individuals Cardiovascular risk Random sampling using house-to- house survey Low FVs (<3 servings/day) 70 and 76% prevalence of CVD risk actors in men and women respectively Age- and sex-adjusted
Shridhar et al32 2014 The Indian Migration Study 6555 individuals Cardiovascular risk Validated semi- quantitative- FFQ Vegetarians vs. non-vegetarians: Total cholesterol: β - 0.1 (0.03-0.2; P=0.006) Triglyceride: β - 0.05 (0.007-0.01; P=0.02) Age, sex, SLI, BMI, tobacco, alcohol, site, migration status, energy, physical activity and SibPair
LDL - cholesterol: β - 0.06 (0.050-0.1; P=0.03) HDL - Cholesterol: β - 0.01 (0.003-0.03) SBP: β - 0.9 (−0.08-1.9) DBP: β - 0.7 (0.07-1.2; P=0.02) FBS: β - 0.07 (−0.01-0.2)
Leenders et al33 2014 EPIC and Nutrition study >450,000 participants Mortality Country- specific dietary questionnaires Highest (569 g/d) vs. lowest (249 g/d) circulatory deaths HR - 0.85 (0.770.93)
Okuda et al34 2015 NIPPON DATA80 prospective study 9112 participants CVD, stroke and CHD 3-day weighing dietary records Highest (290 g/1000 cal) vs. lowest quartile (130 g/1000 cal) of total FVs intake total CVD HR: 0.74 (0.61-0.91; 0.004; 0.003) Stroke HR : 0.80 (0.59-1.09; 0.105; 0.036) CHD HR: 0.57 (0.37-0.87; 0.010; 0.109) Adjusted for age, sex, BMI, smoking habit, drinking habit, sodium intake, intakes of meat, fish and shellfish, milk and dairy products and soybeans and legumes
Nguyen et al35 2016 Cohort study 150,969 individuals All-cause mortality Validated FFQ Highest vs. lowest Quartile: FVs combined HR: 0.90 (0.84-0.97; P for trend 0.002) Fruit intake HR: 0.83 (0.74-0.93; P for trend 0.003) Vegetable intake HR: 0.98-0.90; P for trend 1.06) Age (categorical), sex, education level, marital status, location of residence, socio-economic status, smoking status, physical activity categories, multi-vitamin use, processed meat consumption, diabetes, and BMI
Aune et al36 2017 Systematic review and dose-response meta-analysis 95 studies Cardiovascular risk Literature searches (PubMed and Embase) About 200 g/day FVs RR: 0.92 (0.90-0.95) for CHD; RR: 0.84 (0.76-0.92) for stroke; RR: 0.92 (95% CI: 0.90-0.95) for CVD Inverse associations were observed between the intake of apples and pears, citrus fruits, GLVs, CVs, salads and CVD and all-cause mortality NA
Miller et al37 2017 Prospective cohort study 135,335 participants from 18 countries CVD and death Country- specific FFQ Fruits (<3 servings/wk vs. >3 servings/day) CVD mortality HR: 0·83 (0·65-1·06; P for trend=0·0458); All-cause mortality HR: 0·81 (0·72-0·93; P for trend <0.0001) Vegetables (<1 serving vs. >2 servings/day) Major CVD events HR: 0·71 (0·58-0·87; P for trend=0.0056) hIGH FVs and legumes intake together was associated with only lower cardiovascular and total mortality For fruits confounders adjusted include age, sex, centre (random effect), energy intake, current smoker, diabetes, urban or rural location, physical activity, education level and tertiles of white meat, red meat, and intake of breads, cereals, and vegetables. For vegetables confounders adjusted include age, sex, and centre (random effect)
Joshipura et al38 1999 Prospective cohort study 75,596 women and 38,683 men Stroke Semi quantitative FFQ Highest vs. Lowest quintile: FVs RR: 0.69 (0.52-0.92) Cruciferous vegetables, +1 serving RR: 0.68 (0.49-0.94) GLVs RR: 0.79 (0.62-0.99) citrus fruit+juice RR: 0.81 (0.68-0.96) Citrus fruit juice RR: 0.75 (0.61-0.93) 6% reduction in stroke for (1+) serving of FVs RR: 0.94; (0.90-0.99; P for trend=0.01)
Sauvaget et al39 2003 Lifespan study 40,349 Japanese men and women 1926 Stroke events Stroke Food- frequency questionnaires Daily vs. lack of daily intake. Green yellow vegetables: Men HR: 0.77 (0.62-0.95; P=0.01); Women HR: 0.81 (0.68-0.96; P=0.012); 26% ↓ Fruit: Men HR: 0.65 (0.53-0.80; P<0.0001) Women HR: 0.75 (0.64-0.88; P<0.0001) 35% men and 25% women ↓ Age-stratified, and adjusted for radiation dose, city, BMI, smoking status, alcohol habits, education level, medical history of hypertension, myocardial infarction, diabetes, and consumption of animal products (egg, dairy, fish)
Johnsen et al40 2003 Prospective study 54,506 men and women 266 cases Stroke Semi- quantitative FFQ Highest vs. lowest quintile (673 vs. 147 g/d): FVs RR: 0.72 (0.47-1.12, P for trend=0.04) Fruits RR: 0.60 (0.38-0.95; P for trend=0.02) Sex, total energy intake, smoking status, systolic blood pressure, diastolic blood pressure, total serum cholesterol, history of diabetes, BMI, alcohol intake, intake of red meat, intake of n-3 polyunsaturated fatty acids, physical activity, and education
Dauchet et al41 2005 Meta-analysis of cohort studies 7 studies; 232049 individuals and 2955 events Stroke Literature searches (+1) portion fruit RR: 0.89 (0.85 to 0.93) ↓ 11%; (+1) portion FVs RR: 0.95 (0.92 to 0.97)↓ 5%; (+1) portion vegetable RR: 0.97 (0.92 to 1.02) ↓ 3% NA
He et al42 2006 Meta-analysis of cohort studies 8 studies; 257,551 individuals and 4917 events Stroke Literature searches 3-5 portions vs. >5 portions Fruits RR: 0·89 (0·82-0·98) vs. 0·74 (0·66-0·79) Vegetables RR: 0·93 (0·82-1·06) vs. 0·81 (0·72-0·90) NA
Oude Griep et al43 2011 Population- based cohort study 20,069 participants Stroke Food- frequency questionnaires Highest vs. lowest quartile: Total FVs (475 vs. 241g/d): HR-0.66 (0.45-0.99) Raw FVs (>262 vs. <92) HR: 0.70; 95% CI: 0.47-1.04) for CHD; HR: 0.70 (0.47-1.03) for stroke Deep orange vegetables: 0.74 (0.55-1.00) for CHD White FVs: 0.48 (0.29-0.77) for stroke Age, gender, alcohol, energy intake, smoking, educational level, dietary supplement use, BMI, intake of fish, whole grain foods and processed meat
Sharma et al44 2013 Cohort study >215,000 individuals Stroke Validated FFQ ↑ vegetable RR: 0.60 (CI: 0.36-0.99) ↓ risk 40% in African women; ↑Fruit RR: 0.43 (0.22-0.85)↓ risk 57% in Japanese American women Adjusted for ethnicity, time on study, years of education, energy intake, smoking, BMI, physical activity, history of diabetes, and alcohol intake. The models for women were additionally adjusted for history of hormone replacement therapy
Larsson et al45 2013 Prospective study 74961 individuals 4089 cases Stroke Food- frequency questionnaires Highest vs. lowest Total FVs RR: 0.87 (0.78-0.97; P for trend=0.01) Adjusted for age, sex, smoking status and pack-years of smoking, education,
Apple and pears RR: 0.89 (0.80-0.98; P for trend=0.02) GLV RR: 0.92 (0.81-1.04; P for trend=0.03) BMI, total physical activity, aspirin use, history of hypertension, diabetes, family history of myocardial infarction, and intakes of total energy, alcohol, coffee, fresh red meat, processed meat, and fish. Total fruit and total vegetable consumption was mutually adjusted by including both variables in the same multivariable model
Wang et al46 2014 Meta-analysis of cohort studies 16 studies; 833,234 individuals Cardiovascular risk Literature searches (+1) portion FVs HR: 0.96 (0.92-0.99; P=0.001); (+1) portion Fruits HR: 0.95 (0.91-1.00; P=0.002); (+1) portion. Vegetable HR: 0.96 (0.93-0.99; P=0.006)
Alonso et al47 2004 SUN study 4393 individuals Blood pressure Food- frequency questionnaires Highest vs. lowest quintile: Prevalence of undiagnosed hypertension (OR) combined FVs, OR: 0·23 (0·10-0·55; P for trend 0·001) Vegetables OR: 0·58 (0·36-0·91; P for trend 0·01) Fruits OR: 0·68 (0·43-1·09; P for trend 0·10) Adjusted for age, sex, BMI, energy-adjusted alcohol consumption, Na consumption, hypercholesterolaemia and physical activity during leisure time
Chan et al48 2014 INTERMAP study 2195 individuals Blood pressure Four standardized multi-pass 24 h dietary recalls and eight BP measurements Average systolic blood pressure difference: Raw vegetable (68 g/1000 cal): −1.3 mm Hg (−2.4-0.2; P=0.02) Cooked vegetable (92 g/1000cal): −0.9 mm Hg (−2.0-0.2; P=0.1) Adjusted for BMI age, gender, sample, education, physical activity, smoking status, history of CVD or diabetes mellitus, family history of high BP, use of special diet, use of dietary supplement, urinary sodium, and alcohol, polyunsaturated fatty acids, saturated fatty acids, and cholesterol, total fruit
Li et al49 2016 Review article 25 studies with 334,468 individuals; 41,713 events Hypertension Literature search Highest vs. lowest consumption (RR): Combined FVs RR: 0.81 (0.74-0.89; P heterogeneity=0.000); Fruits RR: 0.73 (0.62-0.86; P heterogeneity=0.002); Vegetable RR: 0.97 (0.91-1.02) Significantly inverse association between fruit consumption and hypertension risk was found in studies carried out in Asia RR: 0.70; (0.61-0.79; P heterogeneity=0.000) NA

FVs, fruits and vegetables; RR, response rate; CI, confidence interval; GLVs, green leafy vegetables; BMI, body mass index; CHD, coronary heart disease; CVD, cardiovascular disease; KIHD, Kuopio Ischaemic Heart Disease Risk Factor; LDL, low-density lipoprotein; MI, myocardial infraction; IHD, ischaemic heart disease; SUN, Seguimiento Universidad de Navarra; NA, not available; FFQ, food frequency questionnaire; SLI, standard of living index; HR, hazard ratio; ↓, decrease; ↑, increase