| Literature DB >> 31159186 |
Justyna Godos1,2, Marilena Vitale3, Agnieszka Micek4, Sumantra Ray5,6, Daniela Martini7, Daniele Del Rio8,9, Gabriele Riccardi10, Fabio Galvano11, Giuseppe Grosso12,13.
Abstract
BACKGROUND: Dietary polyphenols, including flavonoids, have been the focus of major recent attentions due to their wide content in a variety of foods commonly consumed and the findings from numerous studies showing evidence of an association with positive outcomes on human health.Entities:
Keywords: anthocyanin; blood pressure; cohort; flavones; flavonoid; hypertension; meta-analysis
Year: 2019 PMID: 31159186 PMCID: PMC6616647 DOI: 10.3390/antiox8060152
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Figure 1Process selection of relevant studies reporting on the association between dietary flavonoid intake and risk of hypertension.
Characteristics of prospective cohort studies investigating the relation between dietary polyphenol intake and blood pressure/hypertension
| Author, Year | Cohort Name, Country | Study Design | Follow-Up (Years of Study) | Total Population (Analyzed Sample) | Cases (Hypertension/High Blood Pressure) | Sex | Age | Dietary Assessment | Polyphenol Estimation | Polyphenol Classes | Hypertension Assessment | Adjustments |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Vitale, 2006 [ | TOSCA.IT, Italy | Cross-sectional | NA | 2573 | NR | MF | 50–75 y (range) | 248-item FFQ | USDA and Phenol-Explorer database | Flavonoids, phenolic acids | Blood pressure measured during clinical visit | Gender, age, BMI, waist and hip circumferences, smoke, alcohol intake, dietary lipids, SFA, MUFA, PUFA, added sugars, and fiber. |
| Cassidy, 2011 [ | NHS I, USA | Prospective | 14 y (1990–2004) | 46,672 | 17,616 | F | 30–55 y (range) | FFQ | USDA and EuroFIR database, published literature | Flavonoids (and subclasses) | Self-reported | Age and smoking, BMI, PA, alcohol consumption, family history of hypertension, aspirin use, multivitamin use, and intakes of sodium, magnesium, potassium, fiber, whole grain, folate, and caffeine. |
| Cassidy, 2011 [ | NHS II, USA | Prospective | 14 y (1991–2005) | 87,242 | 11,402 | F | 25–42 y (range) | FFQ | USDA and EuroFIR database, published literature | Flavonoids (and subclasses) | Self-reported | Age and smoking, BMI, PA, alcohol consumption, family history of hypertension, aspirin use, multivitamin use, and intakes of sodium, magnesium, potassium, fiber, whole grain, folate, and caffeine. |
| Cassidy, 2011 [ | HPFS, USA | Prospective | 14 y (1990–2004) | 23,043 | 5,629 | M | 40–75 y (range) | FFQ | USDA and EuroFIR database, published literature | Flavonoids (and subclasses) | Self-reported | Age and smoking, BMI, PA, alcohol consumption, family history of hypertension, aspirin use, multivitamin use, and intakes of sodium, magnesium, potassium, fiber, whole grain, folate, and caffeine. |
| Grosso, 2017 [ | HAPIEE, Poland | Prospective | 4 y (2002–2005) | 2725 | 1735 | MF | 45–69 y (range) | 148-item FFQ | Phenol-Explorer database | Total polyphenols, flavonoids (and subclasses), phenolic acids (and subclasses), stilbenes, lignans, others | Blood pressure measured during clinical visit | Age, total energy intake, BMI, PA, educational status, smoking status, alcohol consumption sodium, potassium and fiber intake, menopausal status (women only). |
| Lajous, 2016 [ | E3N, France | Prospective | 14 y (1993–2008) | 40,574 | 9350 | F | 45–58 y (range) | 208-item FFQ | Phenol-Explorer database | Flavonoids (and subclasses) | Self-reported | Education, family history of hypertension, diabetes, hypercholesterolemia, BMI, smoking, PA metabolic equivalents per week, hormone therapy, alcohol, processed meat, caffeine, magnesium, potassium, and omega-3. |
| Jennings, 2012 [ | TwinsUK, UK | Cross-sectional | NA | 1898 | NR | F | 18–75 y (range) | 131-item FFQ | USDA and Phenol-Explorer database | Flavonoids (and subclasses) | Blood pressure measured during clinical visit | Age, current smoking, physical activity, BMI, use of hormone replacement therapy, use of blood pressure or statin medication, use of vitamin supplements, use of oral contraceptives, menopausal status, family history of heart disease or hypertension, and intakes of energy, alcohol, SFAs, MUFAs, PUFAs, fiber, and sodium. |
| Wisnuwardani, 2019 [ | HELENA, multicenter Europe | Cross-sectional | NA | 657 | NR | MF | 12.5–17.5 y (range) | 24 h dietary recalls | Phenol-Explorer database | Total polyphenols | Blood pressure measured during clinical visit | Age, sex, European region, education of mother, education of father, puberty status, BMI, monosaccharides and disaccharides, polysaccharides, fibre, monounsaturated fatty acids, saturated fatty acids, cholesterol, protein, vitamin C, and energy intake. |
| Grosso, 2017 [ | HAPIEE, Poland | Cross-sectional | NA | 8821 | 5.341 | MF | 45–69 y (range) | 148-item FFQ | Phenol-Explorer database | Total polyphenols, flavonoids, phenolic acids, stilbenes, lignans, others | Blood pressure measured during clinical visit | Age, gender, education, physical activity, smoking status, alcohol drinking, BMI, and total energy intake. |
| Sohrab, 2013 [ | TLGS, Iran | Cross-sectional | NA | 2618 | NR | MF | 19–84 y (range) | 168-item FFQ | USDA and Phenol-Explorer database | Total polyphenols, flavonoids, phenolic acids, stilbenes, lignans | Blood pressure measured during clinical visit | Age, gender, physical activity, smoking status and educational levels, study center, and total energy intake and BMI. |
| Miranda, 2016 [ | ISA-Capital Study, Brazil | Cross-sectional | NA | 550 | 267 | MF | ≥12 y | 24 h dietary recalls | Phenol-Explorer database | Total polyphenols, flavonoids, phenolic acids, stilbenes, lignans, others (and subclasses) | Blood pressure measured during home visit | Age, sex, race, educational level, BMI, smoking, physical activity, intake of sodium, fiber, saturated fat, alcohol, total energy intake, misreporting, and other polyphenol components. |
| Miranda, 2017 [ | ISA-Capital Study, Brazil | Cross-sectional | NA | 557 | NR | MF | 45.1 y (mean) | 24 h dietary recalls | Phenol-Explorer database | Coffee polyphenols (phenolic acids and others) | Blood pressure measured during home visit | Age, sex, race, BMI, smoking, alcohol, physical activity, household per capita income, intake of caffeine, added sugars, total energy intake, and saturated fat, other polyphenol intake. |
| Godos, 2017 [ | MEAL, Italy | Cross-sectional | NA | 1936 | 976 | MF | ≥18 y | 110-item FFQ | Phenol-Explorer database | Phenolic acids (and subclasses and individual polyphenols) | Blood pressure measured during clinical visit | Age, energy intake, BMI, smoking status, alcohol consumption, physical activity level, educational level, occupational level, menopausal status, fiber, sodium, potassium, magnesium, and calcium intake, adherence to the Mediterranean diet. |
| Yang, 2012 [ | KNHANES, Korea | Cross-sectional | NA | 4745 | NR | MF | 20–69 y (range) | 24 h dietary recalls | USDA database, Japan Functional Food Factor Database, Rural Development Administration Food Functional Composition Table | Flavanols | Blood pressure measured during clinical visit | Age, BMI, education, current drinking, vitamin/mineral supplement use, functional food use, intakes of total energy, fat, fiber, and carbohydrate. |
| Richardson, 2016 [ | CARDIA, USA | Cross-sectional | NA | 3142 | 843 | MF | 18–30 y (range) | 100-item FFQ | USDA database | Isoflavones | Blood pressure measured during clinical visit | Age, sex, BMI, smoking, alcohol intake, physical activity, total energy, and sodium intake. |
| Godos, 2018 [ | MEAL, Italy | Cross-sectional | NA | 1936 | 976 | MF | ≥18 y | 110-item FFQ | Phenol-Explorer database | Total phytoestrogens, isoflavones (and individual polyphenols), lignans (and individual polyphenols) | Blood pressure measured during clinical visit | Age, energy intake, smoking status, alcohol consumption, physical activity level, educational level, occupational level, sodium and potassium intake. |
| Creus-Cuadros, 2017 [ | PREDIMED, Spain | Cross-sectional | NA | 7169 | NR | MF | ~67 y (mean) | 137-item FFQ | Phenol-Explorer database | Lignans | Blood pressure measured during clinical visit | Recruitment center, sex, age, smoking, soft drinks, carbohydrates, saturated fatty acids, monounsaturated fatty acids, polyunsaturated fatty acids, n3 fatty acids, and dairies. |
| Nozue, 2017 [ | JPHC II, Japan | Prospective | 5 y (1993–NR) | 4165 | 1335 | MF | 40–69 y (range) | 52-item FFQ | Published literature | Isoflavones | Blood pressure measured during clinical visit | Blood pressure at baseline, age, BMI, alcohol consumption, smoking status, physical activity, energy, energy-adjusted salt, saturated fats, green and yellow vegetables, pickled vegetables, fruits and fish, public health status, and menopausal status. |
| Woo, 2018 [ | MRCohort, South Korea | Prospective | 3.6 y (median, 2005–2013) | 5509 | NR | MF | ≥40 y | 106-item FFQ | USDA database | Isoflavones | Blood pressure measured during clinical visit | Age, calcium intake, fiber intake, egg consumption in both men and women, soda drink consumption for isoflavones analysis in men and current smoking, higher education, regular exercise, and total energy intake for soy protein/isoflavones analyses in women. |
| de Kleijn, 2002 [ | Framingham Offspring Study, USA | Cross-sectional | NA | 939 | NR | F | 59 ± 7.5 y (mean) | 130-item FFQ | Published literature | Isoflavones, lignans | Blood pressure measured during clinical visit | Age, BMI, use of hormone replacement therapy, smoking, dietary fiber intake, and potassium intake. |
| Kreijkamp-Kaspers, 2004 [ | Prospect-EPIC, The Netherlands | Cross-sectional | NA | 301 | 113 | F | 60–75 y (range) | FFQ | Published literature | Isoflavones, lignans | Blood pressure measured during clinical visit | Age, cholesterol lowering medication, use of antihypertensives, BMI, waist/hip ratio, smoking, physical activity, total energy intake, alcohol intake, saturated fat, mono-unsaturated fat, polyunsaturated fat, time postmenopausal, fiber intake, fruit intake, vegetable intake, and vitamin C intake. |
| Witkowska, 2018 [ | WOBASZ and WOBASZ II, Poland | Cross-sectional | NA | 2599 | 1635 | F | ≥20 y | 24 h dietary recalls | Published literature | Lignans (and individual polyphenols) | Blood pressure measured during clinical visit | Age, smoking, BMI, alcohol intake, education, leisure-time physical activity, glucose level, cholesterol level, menopause hormone therapy, energy intake. |
Abbreviations: CARDIA (Coronary Artery Risk Development in Young Adults); E3N (Etude Epidémiologique auprès des femmes de la Mutuelle Générale de l’Education Nationale); EPIC (European Prospective Study into Nutrition and Cancer); F (Female); FFQ (Food Frequency Questionnaire); HAPIEE (Health, Alcohol, and Psychosocial factors In Eastern Europe); HELENA (Healthy Lifestyle in Europe by Nutrition in Adolescence); HPFS (Health Professionals Follow-Up Study); JPHC II (Japan Public Health Center–Based Cohort II); KNHANES (Korean National Health and Nutrition Examination Survey); M (Male); MEAL (Mediterranean healthy Eating, Ageing, and Lifestyle); MRCohort (Multi-Rural Communities Cohort); NA (Not applicable); NHS I (Nurses’ Health Study I); NHS II (Nurses’ Health Study II); NR (Not Reported); PA (physical activity); PREDIMED (Prevención con Dieta Mediterránea); TGLS (Tehran Lipid and Glucose Study); USDA (US Department of Agriculture).
Figure 2Forest plot of summary relative risks (RRs) of hypertension for the highest versus lowest (reference) category of dietary flavonoid intake.
Subgroup analyses of studies reporting risk of hypertension for the highest versus lowest (reference) category of dietary flavonoids
| Subgroup/Additional Analysis | No. of Cohorts | RR (95% CI) | ||
|---|---|---|---|---|
| Total | 5 | 0.96 (0.89, 1.03) | 74% | 0.002 |
| Sex | ||||
| Male | 2 | 1.06 (0.97, 1.16) | 0% | 0.87 |
| Female | 4 | 0.93 (0.87, 1.00) | 76% | 0.005 |
| Geographical area | ||||
| Europe | 2 | 0.88 (0.83, 0.93) | 0% | 0.37 |
| North America | 3 | 0.99 (0.93, 1.07) | 73% | 0.02 |
| Number of cases | ||||
| >10,000 | 2 | 0.97 (0.91, 1.04) | 72% | 0.06 |
| <10,000 | 3 | 0.93 (0.79, 1.10) | 79% | 0.003 |
| Follow-up | ||||
| >10y | 4 | 0.97 (0.90, 1.04) | 82% | 0.0009 |
| <10y | 1 | 0.78 (0.50, 1.21) | 31% | 0.23 |
| Adjusted for smoking | ||||
| No | 0 | NA | NA | NA |
| Yes | 5 | 0.96 (0.89, 1.03) | 74% | 0.002 |
| Adjusted for potassium/sodium | ||||
| No | 0 | NA | NA | NA |
| Yes | 5 | 0.96 (0.89, 1.03) | 74% | 0.002 |
| Adjusted for physical activity | ||||
| No | 0 | NA | NA | NA |
| Yes | 5 | 0.96 (0.89, 1.03) | 74% | 0.002 |
| Adjusted for BMI | ||||
| No | 0 | NA | NA | NA |
| Yes | 5 | 0.96 (0.89, 1.03) | 74% | 0.002 |
| Adjusted for education | ||||
| No | 3 | 0.99 (0.93, 1.07) | 73% | 0.02 |
| Yes | 2 | 0.88 (0.83, 0.93) | 0% | 0.37 |