He FJ, Nowson CA, MacGregor GA. Fruit and vegetable consumption and stroke: Meta-analysis of cohort studies. Lancet. 2006 Jan 28; 367 (9,507): 320-326.
PubMed ID: 16443039
To quantitatively assess the relation between fruit and vegetable intake and the risk of stroke by a meta-analysis of prospective cohort studies.
- Published as a full article in English
- Prospective cohort design
- Report relative risks of hazard ratios (HR) and 95% confidence intervals (CI) of stroke in relation to each category of fruit and vegetable intake
- Provide frequency of amount of fruit and vegetable consumption (in order to standardize classification of fruit and vegetable intake).
- Case-control study design
- Mixed healthy diet was reported, where the effect of fruits and vegetables could not be separated
- Only surrogate nutrients of fruits or vegetables were reported, whereas fruits or vegetables themselves were not reported
- Only two categories of fruit and vegetable intake were reported, which could not allow for adequate characterization of fruit and vegetable intake.
Recruitment (Search Strategy)
- Studies that reported the association between fruit and vegetable intake and coronary heart disease (CHD) were searched for in MEDLINE (1966-November 2005) and EMBASE (1980-November 2005) using MeSH terms and text words
- The Cochrane Library was also searched with the terms, 'fruit' and 'vegetables'
- The reference lists of review and original articles were searched for more studies.
Dietary Intake/Dietary Assessment Methodology
- Fruit and vegetable intake was standardized among studies and grouped into three categories (less than three servings per day, three to five servings per day, and more than five servings per day)
- The average serving size was 80g for fruits, 77g for vegetables, and 391g for the average serving per day of fruits and vegetables combined.
- Relative risks or hazard ratios were used as a measure of the relation between fruit and vegetable intake and stroke
- Relative risks and hazard ratios in each study were transformed by taking their natural logarithms
- Relative risks were combined if individual studies reported risks based on multiple outcomes (e.g., subtypes of stroke) or multiple exposures (e.g., fruit alone)
- By comparison with the lowest category of fruit and vegetable consumption, the pooled relative risks of stroke for the middle and highest categories was calculated using a random effects model due to the presence of significant heterogeneity among studies.
Timing of Measurements
Fruit and vegetable intake in servings per day.
Potential confounders controlled for in the original studies.
- Initial N: Nine cohort studies
- Attrition (final N): Nine studies with a total of 257,551 men and women, 4,917 events, and a median of 13 years of follow-up
- Age range: 34-103 years, mean not reported
- Ethnicity: Not reported
- Other relevant demographics: Not reported
- Anthropometrics: Not reported
- Location: Studies conducted in the US, Japan and Europe.
- Compared with individuals who had lass than three servings per day of fruit and vegetables, the pooled relative risk of stroke was 0.89 (95% CI: 0.83-0.97; P=0.005) for those with three to five servings per day and 0.74 (0.69-0.79, P<0.0001) for those with more than five servings per day
- Compared with individuals who had less than three servings per day of fruits and vegetables, those with more than five servings per day had a significantly reduced risk of stroke, irrespective of sex, duration of follow-up, method of dietary assessment, dietary instrument administration, or stroke subtype.
This meta-analysis of prospective cohort studies demonstrates that increased consumption of fruit and vegetables from less than three to more than five serving per day is related to a 26% reduction in the risk of stroke, whereas increased intake to three to five servings per day is associated with an 11% reduction in the risk of stroke.
- Heterogeneity among studies and publication bias was assessed
- Average serving size was standardized for exposure measurement across studies
- Included only prospective cohort designs
- Large sample size and long duration of follow-up
- Data were extracted by two independent people and resolved by discussion with a third
- Studies adjusted for major confounding factors.
- Heterogeneity among studies was present
- Residual confounding may have been present (e.g., due to lifestyle factors)
- Measurement error in studies' dietary assessment may have been present (only three of the eight took account of changes in dietary intake over time)
- Biases may have existed due to misclassification of fruit and vegetable intake because there was study variation in dietary assessment method, the number of groups of fruit and vegetable consumption, and the reference category.
Research Design and Implementation Criteria Checklist: Review Articles
|1.||Will the answer if true, have a direct bearing on the health of patients?|
|2.||Is the outcome or topic something that patients/clients/population groups would care about?|
|3.||Is the problem addressed in the review one that is relevant to nutrition or dietetics practice?|
|4.||Will the information, if true, require a change in practice?|
|1.||Was the question for the review clearly focused and appropriate?|
|2.||Was the search strategy used to locate relevant studies comprehensive? Were the databases searched and the search termsused described?|
|3.||Were explicit methods used to select studies to include in the review? Were inclusion/exclusion criteria specified and appropriate? Were selection methods unbiased?|
|4.||Was there an appraisal of the quality and validity of studies included in the review? Were appraisal methods specified, appropriate, and reproducible?|
|5.||Were specific treatments/interventions/exposures described? Were treatments similar enough to be combined?|
|6.||Was the outcome of interest clearly indicated? Were other potential harms and benefits considered?|
|7.||Were processes for data abstraction, synthesis, and analysis described? Were they applied consistently across studies and groups? Was there appropriate use of qualitative and/or quantitative synthesis? Was variation in findings among studies analyzed? Were heterogeneity issued considered? If data from studies were aggregated for meta-analysis, was the procedure described?|
|8.||Are the results clearly presented in narrative and/or quantitative terms? If summary statistics are used, are levels of significance and/or confidence intervals included?|
|9.||Are conclusions supported by results with biases and limitations taken into consideration? Are limitations of the review identified and discussed?|
|10.||Was bias due to the review’s funding or sponsorship unlikely?|