Skip to main content
. 2015 Sep 2;8:2415–2426. doi: 10.2147/OTT.S88528

Table 1.

Main characteristics of the studies included in this meta-analysis

Study Year Country Cases Controls or cohort Age (years) Quality score Type of exposure Matched or adjusted variables
Sawada et al13 2015 Japan 825 43,435 45–74 8 Fiber Age, public health center area, smoking status, drinking frequency, marital status, BMI, and intake of green tea, genistein, SFAs, and carbohydrate
Vidal et al12 2015 USA 156 274 63 (SD 6.0) 6 Fiber, carbohydrate, GI Age, race, family history, caloric intake, carbohydrate/fiber intake, BMI, diabetes, physical activity, alcohol, and smoking status
Deschasaux et al5 2014 France 139 3,313 63 8 Fiber Age, energy intake without alcohol, intervention group, number of 24-h dietary records, smoking, educational level, physical activity, height, BMI, alcohol intake, family history, PSA calcium intake, processed meat intake, tomato product intake, vitamin E intake, and blood selenium
Hu et al7 2013 Canada 1,799 5,039 67 7 GI, GL 10-year age group, province, education, BMI, alcohol consumption, pack-year smoking, and energy intake (noncarbohydrate and alcohol)
Drake et al14 2012 Sweden 817 8,128 45–73 7 Fiber, carbohydrate, whole grains Age, year of study entry, season of data collection, energy intake, height, waist, physical activity, smoking, educational level, birth in Sweden, alcohol, calcium, and selenium
Egeberg et al18 2011 Denmark 1,081 26,691 50–64 7 Whole grains Height, weight, school education, intake of red meat, processed meat and dairy products, and smoking status
Hardin et al17 2011 USA 470 512 65.8 (SD 8.3) 6 Whole grains Age, race, institution, energy intake, and history of first-degree relative with prostate cancer
Nimptsch et al16 2011 USA 5,112 49,934 40–75 7 Fiber, whole grains, GI, GL Age, BMI, height, history of diabetes, family history, race/ethnicity, smoking, vigorous physical activity, energy intake, alcohol intake, calcium intake, alpha-linolenic acid, and tomato sauce
Shikany et al15 2011 USA 2,436 30,482 55–74 8 Carbohydrate, GI, GL Age, year of entry, race, center, compliant for baseline screen, marital status, BMI, vigorous physical activity, smoking, history of diabetes, history of cancer, aspirin use, family history, any prostate problems, prior PSA test, prostate biopsy prior to entry, and dietary factors
Hu et al19 2010 Canada 1,797 2,547 20–76 7 Carbohydrate Age, province, education, family income, BMI, total alcohol intake, and total energy intake
Lewis et al4 2009 USA 478 382 63.3 (SD 8.2) 66.9 (SD 8.1) 6 Fiber, carbohydrate, whole grains Age, education, BMI, smoking history, family history of prostate cancer in first-degree relatives, and total caloric intake
Suzuki et al20 2009 Multicenter 2,747 142,590 52 8 Fiber Study center, age, energy intake, height, weight, smoking, education, and marital status
George et al21 2009 USA 15,949 262,642 50–71 7 GI, GL Age, race/ethnicity, education, marital status, BMI, family history of any cancer, physical activity, smoking, alcohol consumption, and energy intake
McCann et al23 2005 USA 433 538 NA 6 Fiber, carbohydrate Age, county of residence, education, BMI, cigarette smoking status, total energy, and vegetable intake
Walker et al22 2005 Canada 80 334 65.0 (SD 6.0) 5 Fiber, carbohydrate Age, alcohol intake, carbohydrate/fiber, total energy, protein, fat, cholesterol, and calcium
Pelucchi et al24 2004 Italy 1,294 1,451 66 (46–74) 6 Fiber Age, study center, education, family history, smoking, alcohol consumption, and energy intake
Augustin et al6 2004 Italy 1,204 1,352 66 (46–74) 6 GI, GL Age, study center, education, family history, energy intake, alcohol consumption, smoking, BMI, occupational physical activity at 50 years, intake of fiber, and intake of lycopene
Lu et al25 2001 USA 65 132 59.98 5 Fiber Age, race, education, alcohol drinking, smoking, family history, and total dietary caloric intake
Ramon et al26 2000 Spain 217 434 ≤80 6 Fiber, carbohydrate Age, residence, calories, family history, and BMI; carbohydrate further adjusted for total protein and total fat intake
Chan et al27 2000 Finland 184 27,062 50–69 7 Carbohydrate Supplementation group, education, age, BMI, energy, and number of years as a smoker
Deneo-Pellegrini et al29 1999 Uruguay 175 233 40–89 6 Fiber, carbohydrate, whole grains Age, residence, urban/rural status, education, family history, BMI, and total energy intake
Jain et al28 1999 Canada 617 636 69.8 7 Whole grains Total energy, vasectomy, age, ever-smoked, marital status, study area, BMI, education, ever-used multivitamin supplements, area of study, and log-converted amounts for grains, fruit, vegetables, total plants, total carotenoids, folic acid, dietary fiber, conjugated linoleic acid, vitamin E, vitamin C, retinol, total fat, and linoleic acid
Chatenoud et al30 1998 Italy 127 7,990 <75 6 Whole grains Age, sex, education, smoking, alcohol, and BMI
Andersson et al31 1996 Sweden 526 536 70.7 (SD 5.9) 6 Fiber, carbohydrate Age and energy
Walker et al3 1992 South Africa 166 166 69.2 (SD 8.9) 5 Fiber Age and residence
West et al32 1991 USA 358 679 45–74 6 Carbohydrate Since interaction and confounding did not exist, crude ORs are presented
Oishi et al33 1988 Japan 100 100 50–79 5 Fiber, carbohydrate Age, date of admission

Abbreviations: BMI, body mass index; SD, standard deviation; GI, glycemic index; h, hours; PSA, prostate specific antigen; GL, glycemic load; ORs, odds ratios; SFAs, saturated fatty acids; NA, not available.