| Literature DB >> 30666984 |
Kamala Krishnaswamy1, Rajagopal Gayathri2.
Abstract
Fruits and vegetables (FVs) are recognized as healthy constituents of diet and a sustainable solution to the existing twin burden of micronutrient deficiencies and non-communicable diseases in developing and developed countries. In general, FVs are nutrient dense foods low in energy, containing varying amounts of vitamins and minerals including carotenoids, B vitamins, vitamin C, iron, zinc, potassium, calcium, magnesium and fibre. These are abundantly rich in phytochemicals that function as antioxidants, anti-atherosclerotic and anti-inflammatory agents. This review summarizes some epidemiological, prospective cohort and intervention studies on the health benefits of FVs in relation to cardiovascular disease, obesity and diabetes. The rich varieties of FVs available, their composition, production scenario in India, dietary intake and trends over time, barriers to sufficient intake mainly sociocultural, economic and horticulture environment, policies for promotion and prevention of diseases are considered.Entities:
Keywords: Cardiovascular disease; diabetes; fruits and vegetables; micronutrients; obesity; phytonutrients
Mesh:
Substances:
Year: 2018 PMID: 30666984 PMCID: PMC6366266 DOI: 10.4103/ijmr.IJMR_1780_18
Source DB: PubMed Journal: Indian J Med Res ISSN: 0971-5916 Impact factor: 2.375
Fig. 1Colour classification and nutrient composition of fruits and vegetables. Source: Refs 9, 10.
Fig. 2Production of fruits and vegetables during 2004-2012. Source: Ref. 11.
Fig. 3Trends in per cent calorie contribution of fruits and vegetables in urban and rural India. Source: Ref. 14.
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 | 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) | Age, smoking, alcohol, family history of myocardial infarction, BMI |
| Liu | 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) | Smoking, alcohol, BMI, physical activity, history of diabetes, high cholesterol, hypertension and use of multivitamins |
| Bazzano | 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 | 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 | 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, | 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 | 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 | 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 | 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; | Age; sex; hospital; cigarette smoking; |
| Radhika | 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; | Age, sex, smoking, alcohol and BMI adjusted |
| Total cholesterol (β=−50 (−113·9-−13·6 mg/l; | |||||||
| Dauchet | 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; | NA |
| Zhang | 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; | 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 | 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 | 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; | Age, sex, SLI, BMI, tobacco, alcohol, site, migration status, energy, physical activity and SibPair |
| LDL - cholesterol: β - 0.06 (0.050-0.1; | |||||||
| Leenders | 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 | 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 | 2016 | Cohort study | 150,969 individuals | All-cause mortality | Validated FFQ | Highest vs. lowest Quartile: FVs combined HR: 0.90 (0.84-0.97; | 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 | 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 | 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; | 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 | 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; | |
| Sauvaget | 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; | 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 | 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, | 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 | 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 | 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 | 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 | 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 | 2013 | Prospective study | 74961 individuals 4089 cases | Stroke | Food- frequency questionnaires | Highest vs. lowest Total FVs RR: 0.87 (0.78-0.97; | Adjusted for age, sex, smoking status and pack-years of smoking, education, |
| Apple and pears RR: 0.89 (0.80-0.98; | 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 | 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; | |
| Alonso | 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; | Adjusted for age, sex, BMI, energy-adjusted alcohol consumption, Na consumption, hypercholesterolaemia and physical activity during leisure time |
| Chan | 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; | 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 | 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; | 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
Effect of fruits and vegetables on obesity and diabetes-summary
| Author | Year | Study | Study participants (n) | Outcome variable | Assessment tool | Major findings | Confounders adjusted |
|---|---|---|---|---|---|---|---|
| He | 2004 | Nurse's Health Study, Prospective cohort | 74,063 Women | Obesity and weight gain | Validated FFQ | Increased (3.99) vs. decreased (−2.36) FVs intake obesity RR: 0.76 (0.69-0.86); | Age, year of follow up, change in physical activity, change in cigarette smoking status, changes in alcohol consumption and caffeine intake, change in use of hormone replacement therapy, and changes in energy-adjusted intakes of saturated fat, polyunsaturated fat, monounsaturated fat, trans-unsaturated fatty acid, protein, and total energy and baseline BMI |
| Vergnaud | 2013 | EPIC - cohort | 373803 participants | Weight change | Country- specific validated questionnaires | Weight change in men for 100g increase in FVs β: −5 (−8-−1; | Age, indicator of vegetable (or fruit) consumption, educational level, physical activity level, change in smoking status, BMI at baseline, follow up time, total energy intake, and energy coming from alcohol and fruit (for vegetable analysis) or vegetable (for fruit analysis) intake |
| Schwingshackl | 2015 | Meta- analysis | 563277 participants | Anthropometric measures | Literature search | Highest intake of fruits (per 100-g increment): ↓ in weight β: −13.68 g/year (−22.97-−4.40; | NA |
| Highest intake of FVs: ↓ adiposity, OR: 0.91 (0.84-−0.99) Highest intake of Fruits: ↓ adiposity, OR: 0.83 (0.71-0.99) Highest intake of vegetables: ↓ adiposity, OR: 0.83 (0.70-0.99) | |||||||
| Rautiainen | 2015 | Women's Health Study | 18,146, women | Weight change and risk of overweight and obesity | FFQ | Highest (>3.1 serving/day) vs. lowest quintile (<3.1 serving/day) of fruit intake HR overweight/obesity: 0.87 (0.80-0.94; | Age, randomization treatment assignment, physical activity, history of hypercholesterolaemia or hypertension, smoking status, post-menopausal status, post-menopausal hormone use, alcohol use, multivitamin use, and energy intake |
| Liu | 2004 | Prospective cohort study | 39,876 women | Diabetes | Semi- quantitative FFQ | Q1 (0.14 serving/day) vs. Q5 (1.42 serving/day) GLV RR for T2DM: 0.96 (0.81-1.13) Q1 (0.13 serving/day) vs. Q5 (1 serving/d) CV RR for T2DM: 0.95 (0.80-1.12) Q1 (0.07 serving/day) vs. Q5 (1 serving/d) dark yellow vegetables RR for T2DM: 0.81 (0.67-0.98) | Age, smoking, total calories, alcohol use, BMI, exercise, history of hypertension, history of high cholesterol, and family history of diabetes |
| Villegas | 2008 | Prospective cohort study | 64,191 women | Diabetes | Validated FFQ | Q1 (121.5 g/day) vs. Q5 (428 g/day) vegetable | Age, daily energy intake, meat intake, BMI, WHR, smoking, |
| HR: 0.72 (95% CI: 0.61-0.85, | alcohol consumption, physical activity, income level, education level, occupational status, and hypertension | ||||||
| Bazzano | 2008 | Nurse's Health Study, Prospective cohort | 71,346 women | Diabetes | Semi- quantitative FFQ | HR for diabetes Q1 (0.46) vs. Q5 (2.64) Fruits: 0.90 (0.80-1.00; | BMI, physical activity, family history of diabetes, post-menopausal hormone use, alcohol use, smoking, and total energy intake, whole grains, nuts, processed meats, coffee, potatoes, and sugar-sweetened soft drinks |
| Cooper | 2012 | CASE-cohort study | 3704 participants | Diabetes | 7-day prospective food diaries | HR for incident diabetes. Quantity: T1 (2.1) vs. T3 (5.7) portions/day: FVs: HR 0.79 (0.62-1.00; | Sex, BMI, waist circumference, education level, Townsend Deprivation Index, occupational social class, smoking status, physical |
| T1 (1.1) vs. T3 (2.6) portions/day: Vegetables: 0.76 (0.60-0.97; | activity, family history of diabetes, energy intake, and season, fruit variety for fruit quantity, vegetable variety for vegetable quantity, or combined FVs variety for combined FVs quantity | ||||||
| Wang | 2016 | Meta-analysis | 22 studies | Diabetes | Literature search | Highest vs. lowest intake Total fruits RR: 0.91 (0.87-0.96) Berries RR: 0.75 (0.66-0.84) GLVs RR: 0.87 (0.81-0.93) Yellow vegetables RR: 0.72 (0.57-0.90) CVs: 0.82 (CI 0.67-0.99) Fruit fibre RR: 0.93 (0.88-0.99) Vegetable fibre RR: 0.87 (0.80-0.94)- in ≥10 yr follow up period | NA |
| Jia | 2016 | Meta- analysis | 306,723 participants | Diabetes | Literature search | Highest vs. lowest intake CVs RR=0.84 (0.73-0.96; | NA |
| Mamluk | 2017 | *Consortium on health and ageing network of cohorts in Europe and the United States (CHANCES) | 422,538 participants | Diabetes | FFQ and records of intake over seven or 14 days | OR for T2DM Highest (7.73) vs. lowest (0.82) intake (portions/day)-NIH AARP Study: Fruits: 0.95 (0.91-0.99; | Age, sex, BMI, physical activity, energy intake, alcohol consumption, education and smoking |
| intake (portions/day)-GLVs: 0.87 (0.84-0.90; | |||||||
| Du | 2017 | China Kadoorie Biobank study | 482,591 participants | Diabetes | FFQ | HR for Diabetes: Daily vs. non-consumers FVs: 0.88 (0.83-0.93; | Age at risk, sex, and region and were adjusted for education, income, alcohol intake, smoking, physical activity, survey season, BMI, family history of diabetes, and intakes of dairy products, meat, and preserved vegetables |
EPIC, European Prospective Investigation into Cancer and nutrition; FVs, fruits and vegetables; RR, response rate; CI, confidence interval; BMI, body mass index, GLVs, green leafy vegetables; NA: not available; FFQ, food frequency questionnaire; OR, odds ratio; NIH-AARP, National Institute of Health-American Association of Retired Persons; HR, hazard ratio; WHR, waist hip ratio; CV, cruciferous vegetables; T2DM, type 2 diabetes mellitus
Mechanism of action for fruits and vegetables
| Nutrients | Mechanism of action |
|---|---|
| Fibre and low energy | Body weight and adiposity↓ |
| Polyphenols/bioactives, vitamins C, E, β-carotenes and selenium, manganese | ↓ Oxidant damage by scavenging oxygen radicals- anti-atherosclerotic Vasodilatation through nitric oxide synthase |
| Bioactives and vitamins | Anti-inflammatory/platelet aggregation |
| Vitamin, folate, B6 | ↓ Homocysteine |
| Potassium, magnesium | Stabilizes heart rate and blood pressure |
| Phytonutrients | Microbiome is altered for better health |
LDL, low-density lipoprotein; ↓ decrease; ↑ increase
Source: Refs 52, 69, 90-93.
Fig. 4Barriers for fruits and vegetable consumption. FVs, fruits and vegetables; NHB, National Horticulture Board.Source: Refs 95-100.
Policy initiatives (multi-sectoral, multi-pronged/multi-faceted and cohesive approaches in unison with stakeholders for common vision and objectives)
| National government | ||
|---|---|---|
| Strategies | Actions | |
| Advocacy for national policy, goals and programmes | Partnership with allied agencies (stakeholders) | |
| Promote surveys/research/IEC | Coordination between academy and university | |
| Harness support of horticulture/agriculture and PPP | Production, preservation, and processing, packaging/distribution/prevent onfarm losses | |
| Health and nutritional services | IEC, DG, skill development and mass media education | |
| Fiscal policies | Pricing and public distribution, food coupon and subsidies for FVs, incentives for farmers | |
| Urbanrural planning | Transport, farmers and rural markets, infrastructure for cold storage | |
| Food labels, laws and advertisement | To empower community, women in particular | |
| Create advisory council | Decisionmaking/create cohesive environment/advertisement | |
| Monitoring and surveillance | Human resources/financial support/measures of outcome | |
| Proper trade policies | For export facilities | |
| Civic bodies and private sectors | ||
| Civic bodies | Private sectors | |
| To promote IEC's in worksites, clubs, and community in general | Innovative food technology for healthy alternatives/avoid FVs wastage | |
| Help in skill development | Primary and secondary processing | |
| Bridgebetween government and private industries and community | Creating enabling environment from farm to fork | |
| School health programme, workplace interventions | Help the government and civic bodies through CSR | |
| Information, education and communication | Funding for educational programmes | |
Civic bodies, municipal corporations, municipality, panchayat, city councils; NGO, private associations; IEC, Information, education, communication; DG, dietary guidelines; CSR, corporate social responsibility; PPP, publicprivate partnerships; FVs, fruits and vegetables.
Source: Refs 20, 104-106