Literature DB >> 32580241

Adherence to a Western dietary pattern and risk of bladder cancer: A pooled analysis of 13 cohort studies of the Bladder Cancer Epidemiology and Nutritional Determinants international study.

Mostafa Dianatinasab1,2, Anke Wesselius2, Amin Salehi-Abargouei3, Evan Y W Yu2, Maree Brinkman2,4,5, Mohammad Fararouei6, Piet van den Brandt7, Emily White8, Elisabete Weiderpass9, Florence Le Calvez-Kelm9, Marc Gunter9, Inge Huybrechts9, Fredrik Liedberg10,11, Guri Skeie12, Anne Tjonneland13,14, Elio Riboli15, Graham G Giles5,16,17, Roger L Milne5,16,17, Maurice P Zeegers2,18,19.   

Abstract

Little is known about the association of diet with risk of bladder cancer. This might be due to the fact that the majority of studies have focused on single food items, rather than dietary patterns, which may better capture any influence of diet on bladder cancer risk. We aimed to investigate the association between a measure of Western dietary pattern and bladder cancer risk. Associations between adherence to a Western dietary pattern and risk of developing bladder cancer were assessed by pooling data from 13 prospective cohort studies in the "BLadder cancer Epidemiology and Nutritional Determinants" (BLEND) study and applying Cox regression analysis. Dietary data from 580 768 study participants, including 3401 incident cases, and 577 367 noncases were analyzed. A direct and significant association was observed between higher adherence to a Western dietary pattern and risk of bladder cancer (hazard ratio (HR) comparing highest with lowest tertile scores: 1.54, 95% confidence interval (CI): 1.37, 1.72; P-trend = .001). This association was observed for men (HR comparing highest with lowest tertile scores: 1.72; 95% CI: 1.51, 1.96; P-trend = .001), but not women (P-het = .001). Results were consistent with HR above 1.00 after stratification on cancer subtypes (nonmuscle-invasive and muscle-invasive bladder cancer). We found evidence that adherence to a Western dietary pattern is associated with an increased risk of bladder cancer for men but not women.
© 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.

Entities:  

Keywords:  Western diet; bladder cancer; epidemiology; risk factor

Mesh:

Year:  2020        PMID: 32580241      PMCID: PMC7689707          DOI: 10.1002/ijc.33173

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.316


BLadder cancer Epidemiology and Nutritional Determinants body mass index confidence intervals dietary patterns food frequency questionnaire hazard ratios heterocyclic amines muscle‐invasive bladder cancer nonmuscle‐invasive bladder cancer polycyclic aromatic hydrocarbons relative risk Western diet score

INTRODUCTION

Recent estimates from the International Agency for Research on Cancer (IARC) rank bladder cancer globally as the seventh and seventeenth most common malignancy for men and women, respectively. , Most (75%) cancers are nonmuscle‐invasive bladder cancer (NMIBC) that frequently recur but require intensive treatment and follow‐up measures posing a large burden on national health care budgets and patient quality of life. , Epidemiological studies have identified several factors which potentially influence bladder cancer risk, including; sex, smoking, age and occupation. , , In addition, evidence suggests that other factors related to environmental and lifestyle (eg, body mass index [BMI], physical activity and diet) also might affect the bladder cancer risk. , Since the bladder is an excretory organ, diet might especially play an essential role in the development of bladder cancer. Previous research reported that high fluid, fruit, vegetable and yogurt intakes are associated with a reduced risk, while barbecued meat, pork and total fat intakes are associated with an increased risk. , , Nutritional observational studies have long focused on associations between single food items and disease risk. However, given that individuals do not consume foods (or nutrients) in isolation, but in a complex combination of multiple foods (or nutrients), this single food item approach might be unable to measure the impact of the interaction among different foods on disease risk. Therefore, an increasing number of researchers are taking a more holistic dietary approach, by defining food consumption patterns to characterize a population's dietary intake and to examine potential relationships of these patterns with disease risk. However, although this approach has received much attention during the past few years, evidence on the relation between dietary patterns (DPs) and bladder cancer risk remains scarce. As a consequence of the Neolithic‐ and Industrial revolutions, which introduced staple foods and new methods of food processing, the Western diet was introduced. The Western dietary pattern is characterized by high intakes of red and processed meat, fast foods, convenience products, sugary soft drinks, snacks, eggs, refined cereals, high‐fat dairy products and hydrogenated fat. , , , Particularly meats, eggs and dairy products are considered as prominent features of the Western diet. , , This dietary pattern has been linked to a range of health outcomes, including several types of cancer. Evidence for any association between a Western dietary pattern and bladder cancer risk is limited. To the best of our knowledge, only one study has investigated this association. In a multi‐centric, hospital‐based, case‐control study in Montevideo, Uruguay, it was found that people who adhered to a Westernized diet had 2.35 times higher risk of bladder cancer. Given the biases to which case‐control studies are prone, we aimed to investigate prospectively the potential association between adherence to a Western dietary pattern and the risk of bladder cancer, by pooling data from 13 prospective cohort studies in the BLEND consortium.

METHODS

Study sample

The study was conducted within the of the BLEND consortium. BLEND is a large international nutritional consortium, which includes 16 prospective cohort studies from several populations. For the current study, data from 13 cohorts with sufficient collected information on the intake of food items of interest (ie, those required for scoring the chosen Western dietary pattern) were included in the analyses. Studies originated from centers in Australia, , Denmark, France, Germany, Greece, Italy, Norway, Spain, Sweden, , the Netherlands, , the United Kingdom, , and the United States.

Data collection and coding

Details of BLEND consortium protocols and methodology have been described elsewhere. Briefly, the primary data from all included studies were gathered into an integrated database. Data were checked and the food consumption was converted to grams per day by the use of country‐specific food tables and the frequency responses. Each study ascertained incident bladder cancer, defined to include all urinary bladder neoplasms according to the International Classification of Diseases for Oncology (ICD‐O‐3 code C67) using population‐based cancer registries, health insurance records or medical records. Dietary data were obtained using a validated food frequency questionnaires (FFQ), and were recorded using the Eurocode 2 food coding system. In addition to the information on dietary intake, other baseline data included study characteristics, for example, design, method of dietary assessment, recall period of dietary intake and geographical region, demographic information (age, sex and ethnicity), pathology of bladder cancer (disease subtype; nonmuscle‐invasive bladder cancer [NMIBC] and muscle‐invasive bladder cancer [MIBC]) and smoking status (current/former/never) and quantity (packs/year), all measured at baseline.

Western diet score

In the present study, eight food groups were selected to define the Western dietary pattern. This selection was based on prior knowledge , , , , , , and data availability and included eggs, butter, margarine, animal fat, sugar and sugar added products, red and processed meats, dressings, and dips. For each food item, a score from 1 to 5 was assigned based on quintiles of overall intake. A score of “1” was assigned to those in the lowest quintiles and “5” was assigned to those in the highest quintiles. Each participant's overall score was calculated by summing the scores received for each individual food item. Accordingly, the score ranged from 8 (minimal adherence) to 40 (highest adherence). Participants were then classified into tertiles (low, medium and high adherence to a Western dietary pattern) according to their score.

Statistical analysis

Baseline characteristics of study participants were compared between the tertiles of adherence to the Western dietary pattern using analysis of variance or independent sample t test, for continuous variables or ANCOVA for categorical variables. We used the Cox proportional hazard modeling approach with recruitment as the starting point on the time scale to assess the association between adherence to the Western dietary pattern and bladder cancer risk. Hazard ratios and 95% confidence intervals (CIs) for developing bladder cancer were calculated with the first tertile assigned as a reference group. The proportional hazards assumption was examined graphically and we found no apparent violation of the assumption. Survival time was estimated by subtracting age at exit by age at entry in the cohort as T0, thereby correcting for age in the analysis. Study was included as a random effect. The Cox regression models were performed as crude, and adjusted Model 1 for: total energy intake in kilocalories, sex, smoking status (never, former or current smoker) and smoking intensity ([pack/day] * years), and additionally for fluid, vegetables and fruits intake (Model 2). Analyses were stratified on smoking status, sex and disease subtype (nonmuscle‐invasive or muscle‐invasive disease). All statistical analyses were performed using Stata/SE version 14.2. P values less than .05 were considered as statistically significant.

RESULTS

Baseline characteristics

Dietary data from 580 768 study participants, including 3401 incident cases and 577 367 noncases were analyzed, with a total of 6 451 306 person‐years of follow‐up (median follow‐up: 11.4 years). Disease type was known for 2570 cases, of which 945 (36.7%) were MIBC and 1625 (63.3%) were NMIBC. Baseline characteristics of the study sample are presented in Table 1.
TABLE 1

General characteristics of participants by cohort study

CharacteristicsNLCS 33 (n = 5238)VITAL 37 (n = 66 518)CVV and MCCS (n = 37 218)EPIC‐Denmark 25 (n = 55 670)EPIC‐France 26 (n = 64 204)EPIC‐Germany 27 (n = 48 754)EPIC‐Greece (n = 25 005)EPIC‐Italy 29 (n = 44 663)EPIC‐Spain (n = 40 389)EPIC‐Sweden (n = 48 625)EPIC‐the Netherlands 34 (n = 36 801)EPIC‐the UK (n = 74 379)EPIC‐Norway (n = 33 304)Total (n = 580 768)
Subjects (n)
Case/noncase876/4362337/66 181503/36 715386/55 28431/64 173205/48 54950/24 955186/44 477149/40 240301/48 324107/36 694247/74 13223/33 2813401/577 367
Person‐year73 688.8448 995.4715 158.9608 813667 809.9482 453.3238 122502 020.3487 491.1638 482.8434 974.5828 991.76 437 305.76 451 306
Baseline age (mean ± SD)
Case62.73 (4.09)66.16 (7.01)59.90 (7.37)58.50 (4.37)58.04 (6.00)56.41 (7.13)60.89 (10.31)55.24 (6.75)54.49 (7.19)60.27 (7.07)56.20 (8.03)63.62 (9.98)49.30 (4.38)60.50 (7.35)
Noncase61.85 (4.21)61.18 (7.37)54.96 (8.67)56.67 (4.37)52.74 (6.63)50.55 (8.56)53.30 (12.59)50.50 (7.92)49.19 (8.03)51.93 (10.89)48.94 (11.93)49.05 (14.34)48.07 (4.30)52.66 (10.14)
Sex n (%)
Men2867 (54.73)33 394 (50.20)15 267 (41.02)26 532 (47.66)0 (0.00)21 168 (43.42)10 327 (41.30)13 774 (30.84)15 259 (37.78)22 214 (45.68)9629 (26.17)22 260 (29.93)0 (0.00)192 691 (33.18)
Women2371 (45.27)33 124 (49.80)21 951 (58.98)29 138 (52.34)64 204 (100.00)27 586 (56.58)14 678 (58.70)30 889 (69.16)25 130 (62.22)26 411 (54.32)27 172 (73.83)52 119 (70.07)33 304 (100.00)388 077 (66.82)
Smoking status n (%)
Current smoker1613 (30.79)5366 (8.07)4164 (11.19)19 140 (34.38)5862 (9.13)10 165 (20.85)6899 (27.59)12 385 (27.73)10 847 (26.86)11 474 (23.60)11 233 (30.52)9040 (12.15)11 101 (33.33)119 289 (20.54)
Former smoker1930 (36.85)29 644 (44.57)11 576 (31.10)16 998 (30.53)13 013 (20.27)16 194 (33.22)4195 (16.78)11 945 (26.74)7147 (17.70)13 269 (27.29)11 501 (31.25)23 724 (31.90)10 292 (30.90)171 428 (29.52)
Never smoker1695 (32.36)31 508 (47.37)21 478 (57.71)19 532 (35.09)45 329 (70.60)22 395 (45.93)13 911 (55.63)20 333 (45.53)22 395 (55.45)23 882 (49.11)14 067 (38.22)41 615 (55.95)11 911 (35.76)290 051 (49.94)
Smoking intensity pack‐year (mean ± SD) a 32.89 (12.28)26.25 (23.49)25.01 (13.03)19.73 (17.74)22.52 (16.66)11.32 (13.47)10.96 (14.85)12.83 (14.02)10.57 (13.70)12.26 (15.09)14.28 (14.81)8.51 (13.30)14.01 (13.47)17.01 (15.07)

Among past and current smokers; pack‐years = number of packs of cigarettes smoked per day multiplied by the number of years of smoking.

General characteristics of participants by cohort study Among past and current smokers; pack‐years = number of packs of cigarettes smoked per day multiplied by the number of years of smoking. In total, 192 691 (33%) men and 388 077 (67%) women were included. As shown in Table 1, compared to noncases, bladder cancer cases were more likely to be men (76%) and to be current (36%) or former smokers (43%). Mean (±SD) age was 52.7 years (±10.2) for cases and 60.5 (±7.3) 52.6 (±10.1) for controls. The median (interquartile) time from exposure collection to diagnosis with bladder cancer was 8.5 years (4.9‐12.0). Baseline characteristics and dietary information based on tertiles of adherence to the Western dietary pattern are reported in Table 2. Roughly 1264 (37%) of the cases were in the highest tertile of adherence to the Western dietary pattern compared to 184 291 (32%) for noncases. Current smokers with a high smoking intensity were more common among those in the highest tertile of adherence to the Western dietary pattern (39%) compared to those in lower tertiles of adherence (28%). The mean (±SD) of the WDS was 23.1 (4.2) and 22.3 (4.5) for cases and noncases, respectively.
TABLE 2

Baseline characteristics and dietary items based on participants’ status and Western diet score tertile

Participants a WDS tertile b
CharacteristicsCasesNoncases P valueTertile 1Tertile 2Tertile 3 P value
Participants (n (%))
Case/noncase822 (24.16)/198 253 (34.34)1315 (38.67)/194 823 (33.74)1264 (37.17)/184 291 (31.92)<.001 c
Person‐year28 455.676 422 851<.001 d 2 086 7312 243 1502 121 425<.001 e
Baseline age (mean ± SD)60.50 (7.35)52.66 (10.14)<.001 d 53.87869 (10.39)52.28 (10.44)51.91639 (9.42)<.001 e
WD score (mean ± SD)23.05 (4.21)22.30 (4.51).00117.44 (2.27)22.37 (1.13)27.46 (2.19).001 e
Cancer subtype (n (%))
NMIBC1365334 (24.47)547 (40.07)484 (35.46).184 c
MIBC874189 (21.62)380 (43.48)305 (34.90)
Sex n (%)
Men2579 (75.83)190 112 (32.93)<.001 c 58 159 (30.18)63 315 (32.86)71 217 (36.96)<.001 c
Women822 (24.17)387 255 (67.07)140 916 (36.31)132 823 (34.23)114 338 (29.46)
Smoking status n (%)
Current smoker1235 (36.31)118 054 (20.45)<.001 c 33 360 (27.97)39 344 (32.98)46 585 (39.05)<.001 c
Former smoker1462 (42.99)169 966 (29.44)60 750 (35.44)57 471 (33.52)53 207 (31.04)
Never smoker704 (20.70)289 347 (50.11)104 965 (36.19)99 323 (34.24)85 763 (29.57)
Smoking intensity pack‐year (mean ± SD)33.33 (12.71)23.61 (12.47)<.001 d 22.20 (12.52)23.49 (12.48)25.00 (12.39)<.0001 e
Cream gram per day (mean ± SD)2.13 (7.32)2.33 (4.72).01 d 1.55 (3.87)2.36 (4.69)3.14 (5.47)<.0001 e
Egg gram per day (mean ± SD)17.84 (15.19)16.96 (16.09).001 d 10.25 (11.21)16.29 (14.58)24.90 (18.40)<.0001 e
Red and processed meet gram per day (mean ± SD)92.75 (58.72)78.85 (60.78)<.001 d 48.21 (42.30)73.05 (54.61)118.11 (62.51)<.0001 e
Butter gram per day (mean ± SD)5.08 (10.97)3.84 (8.18)<.001 d 1.80 (5.51)3.74 (8.01)6.18 (9.99)<.0001 e
Margarine gram per day (mean ± SD)18.26 (20.20)11.28 (15.46)<.001 d 7.84 (12.93)11.51 (15.41)14.85 (17.20).001 e
Animal fat gram per day (mean ± SD)0.22 (1.54)0.21 (1.16).35 d 0.02 (0.29)0.11 (0.91)0.51 (1.78)<.0001 e
Pasta gram per day (mean ± SD)32.04 (48.63)35.31 (50.49).001 d 32.43 (39.75)32.22 (42.10)41.62 (65.94)<.0001 e
Sugar gram per day (mean ± SD)16.70 (21.01)18.02 (47.57).10 d 10.94 (26.97)15.81 (43.24)27.92 (64.32)<.0001 e
Dressing gram per day (mean ± SD)4.79 (7.44)6.30 (9.83)<.001 d 2.80 (6.61)6.24 (9.66)10.08 (11.36)<.0001 e
Dips gram per day (mean ± SD)4.41 (9.47)5.57 (9.57)<.001 d 2.99 (6.26)5.85 (9.06)8.01 (12.03)<.0001 e
Vegetables gram per day (mean ± SD)206.92 (138.40)198.94 (141.96)<.001 d 184.04 (150.51)204.76 (141.26)208.91 (131.48)<.0001 e
Fruits gram per day (mean ± SD)122.53 (111.26)120.33 (110.10).24 d 109.94 (111.78)122.03 (106.63)129.71 (110.95)<.0001 e
Fluid milliliters per day (mean ± SD)1563.81 (861.36)1429.51 (878.16).001 d 1244.57 (786.36)1427.15 (817.62)1632.87 (982.52)<.001 e

Abbreviations: MIBC, muscle‐invasive bladder cancer; NMIBC, nonmuscle‐invasive bladder cancer; WDS, Western diet score.

100 % is computed across column (participants’ status).

100% is computed across rows (study variables).

Based on ANCOVA.

Based on independent sample t‐test.

Based on one‐way analysis of variance.

Baseline characteristics and dietary items based on participants’ status and Western diet score tertile Abbreviations: MIBC, muscle‐invasive bladder cancer; NMIBC, nonmuscle‐invasive bladder cancer; WDS, Western diet score. 100 % is computed across column (participants’ status). 100% is computed across rows (study variables). Based on ANCOVA. Based on independent sample t‐test. Based on one‐way analysis of variance.

Associations between the Western dietary pattern and bladder cancer risk

The HR estimates for bladder cancer associated with adherence to the Western dietary pattern are presented in Table 3. Overall, greater adherence to the Western dietary pattern was associated with an increased risk of bladder cancer (Model 2: HR comparing highest with the lowest tertile: 1.54, 95% CI: 1.37, 1.72). Test for linear trend across the tertiles of Western dietary pattern adherence was significant (P‐trend = .001). Results for men (Model 2: HR highest compared to lowest tertile: 1.72, 95% CI: 1.51, 1.96 (P‐trend = .001) were comparable and in line with the overall estimates. For women, no evidence of association (Model 2: HR highest compared to lowest tertile: 1.09, 95% CI: 0.86, 1.38) was observed (P‐trend = .46; P‐het = .001).
TABLE 3

Hazard ration (HR) and 95% confidence intervals (CIs) based on tertile of Western diet score

Tertile 1 HR (95% CI) 18 (16, 19) a Tertile 2 HR (95% CI) 22 (21, 23) a Tertile 3 HR (95% CI) 27 (26, 29) a P trend
All participants

Participants (n)

Case/noncase

822/198 2531315/194 8231264/184 291
Pearson year2 086 7312 243 1502 121 425
Crude1 (reference)1.51 (1.38, 1.65)1.76 (1.61, 1.92)<.001
Model 1 b 1 (reference)1.30 (1.18, 1.43)1.33 (1.20, 1.48)<.001
Model 2 c 1 (reference)1.44 (1.29, 1.59)1.54 (1.37, 1.72).001
Women

Participants (n)

Case/noncase

258/140658342/132481222/114116
Pearson year1 508 8601 519 5771 298 213
Crude1 (reference)1.30 (1.11, 1.53)1.10 (0.91, 1.31).213
Model 1 b 1 (reference)1.24 (1.01, 1.52)1.06 (0.85, 1.34).584
Model 2 c 1 (reference)1.25 (1.02, 1.54)1.09 (0.86, 1.38).466
Men

Participants (n)

Case/noncase

564/57595973/623421042/70175
Pearson year577 871.8723 572.9823 212.2
Crude1 (reference)1.50 (1.35, 1.67)1.68 (1.51, 1.86).001
Model 1 b 1 (reference)1.33 (1.19, 1.48)1.42 (1.26, 1.59).001
Model 2 c 1 (reference)1.53 (1.35, 1.73)1.72 (1.51, 1.96).001

Abbreviations: CI, confidence interval; HR, hazard ratio.

Median WD score (range).

Adjusted for energy intake, smoking status, smoking intensity, age and sex.

Adjusted for Model 1+ fluid intake, fruit and vegetable intakes.

Hazard ration (HR) and 95% confidence intervals (CIs) based on tertile of Western diet score Participants (n) Case/noncase Participants (n) Case/noncase Participants (n) Case/noncase Abbreviations: CI, confidence interval; HR, hazard ratio. Median WD score (range). Adjusted for energy intake, smoking status, smoking intensity, age and sex. Adjusted for Model 1+ fluid intake, fruit and vegetable intakes. After stratification by sex and smoking the findings were in line with the overall results suggesting that apart from smoking status, higher adherence to the Western diet is a risk factor for men but not women (Table S1). Additionally, after stratification by disease subtype, results remained consistently above 1.00 for both NMIBC (HR: 1.28, 95% CI: 1.02, 1.63) and MIBC (HR: 1.28, 95% CI: 1.01, 1.64) patients (Table S2). In the present study, it was also assessed whether any association with the Western dietary pattern would change by excluding each single component of the Western diet. Results, however, remained stable and therefore are not reported.

DISCUSSION

Using prospective cohort studies data from the BLEND consortium, we investigated associations between adherence to a Western dietary pattern and bladder cancer risk and observed an overall direct association between a high adherence to Western dietary pattern and bladder cancer risk for men, but not women. Analyses stratified by disease subtype showed similar results to the overall findings, indicating that the association is unlikely to be confounded by factors that might differ between the different bladder cancer subtypes. Although we are the first to examine an a priori defined Western dietary pattern in association with bladder cancer risk, a previous study, identified a factor analysis derived Western dietary pattern to be associated with bladder cancer risk. De‐Stephani et al suggested that adherence to a Western dietary pattern is associated with a 2.3‐fold risk of bladder cancer. Similar results were reported for bladder cancer recurrence, with individuals who highly adhere to the Western dietary pattern experiencing a 1.48 times higher risk of recurrence compared to those with low adherence to the Western dietary pattern. Although evidence of association for the whole Western dietary pattern with bladder cancer risk is limited, several studies have focused on some key elements of this dietary pattern and reported positive associations. Red and processed meat is such an element positively associated with bladder cancer risk. A recent meta‐analysis showed, by combining results from five cohort studies and eight case‐control studies, an increment of 50 g of processed meat per day was associated with 20% increased risk of bladder cancer. In addition, the authors showed that red meat consumption was associated with bladder cancer, with a 51% increased risk per increment of 100 g per day. However, this association with red meat consumption could only be observed among case‐control studies. More recently, this association was confirmed by a cohort study. The effect of meat consumption may be explained by the carcinogenic compounds that are produced during the cooking and processing of meat, which includes nitrate, nitrite, heterocyclic amines and polycyclic aromatic hydrocarbons. Since these compounds are excreted in the urine, they come in close contact with the inner lining of the bladder wall which may exert a carcinogenic effect on urothelial cells. Another element of the Western dietary pattern that might explain the adverse effect of this diet on bladder cancer risk is fat intake. , , A meta‐analysis conducted in 2000 by Steinmaus et al, found that high fat intake significantly elevated the risk of bladder cancer (relative risk [RR] = 1.37, 95% CI: 1.16, 1.62). This was confirmed by the Netherlands Cohort Study on diet and cancer that reported that a high intake of butter increased bladder cancer risk by 61%. In contrast, a Japanese cohort study could not find an association between butter intake and bladder cancer risk. In line with these findings, a Belgian case‐control study could not detect any association between high intake of animal products, which are also high in their fat content, and bladder cancer risk. More research on fat consumption, and the different sources of fat, is needed to elucidate any role of fat intake and different sources of fat on bladder cancer risk. Eggs contain a lot of cholesterol, which has been shown to increase the formation of secondary bile acids in both humans and animals. Bile acids are linked to several mechanisms causing cancer. In addition, eggs can also be a source of heterocyclic amines when cooked in high temperatures. A meta‐analysis, including four cohort studies and nine case‐control studies, however, did not observe an association between egg consumption and bladder cancer risk, except for a possible positive relationship with the intake of fried eggs. It, therefore, remains inconclusive whether egg intake contributes to the positive association of the Western dietary pattern with bladder cancer risk identified in our study. Sugar is another important element of the Western dietary pattern that has been investigated but its influence on risk of bladder cancer remains inconclusive. While the NIH‐AARP Diet and Health Study showed that sugar is not significantly associated with the risk of bladder cancer, Stefani et al, showed that sugar intake may increases the risk of bladder cancer by 124%. When studying sweetened beverages, which are considered the main sugar source, results are more in line, in that regular consumption is positively associated with bladder cancer risk. , Unfortunately, due to lack of data, we were unable to include sugar‐sweetened beverages in our Western dietary pattern analysis, which might have led to underestimation of our result. In the present study, the sex‐stratified results showed a diversity (P‐het = .001) in the association between high adherence to the Western dietary pattern and the risk of bladder cancer for men and women. An explanation for this observation might be genetic variability by sex, which might cause a different effect of similar environmental exposures to the bladder carcinogenesis. , It has been suggested that gender disparity in bladder cancer risk could be explained by sex‐specific differences in the metabolism of bladder cancer carcinogens that are influenced by sex hormone. However, the mechanisms by which Western diet could modulate bladder cancer risk differently in men and women remain to be explored. Furthermore, the limited number of women cases (n = 822) could also affect the outcome of the analyses. Research on the epigenetics of diet and bladder cancer remains in its infancy and need to be explored in detail in future research. Results of the sex and smoking stratified analyses showed no difference between smokers and nonsmokers. Therefore, the effect of residual confounding of smoking on the relation between the Western diet and bladder cancer is suggested to be minor. Finally, to determine the single study effect, sensitivity analyses were performed by removing each individual study in turn from the main analysis. Results showed that the main finding remained robust.

Strengths and limitations

Although BLEND is so far the largest pooled cohort study investigating the associations between adherence to a Western dietary pattern and risk of developing bladder cancer, and designed with enough statistical power to permit detailed analyses and to detect smaller effects, it has several limitations which should be considered. Not all studies had information on some food items that are consumed in the Western diet, including refined grains, and potatoes. Including these items might help to better examine the association between the Western dietary pattern diet and bladder cancer. However, these factors were not fully considered as main components of the Western dietary pattern by previous studies. , It worth noting that as the definition of a Western diet may vary between different studies, , , by conducting a comprehensive review on the literature we used a more common definition of Western diet to create a Western diet adherence score. , , , Also, limited information was available for some possible risk factors of bladder cancer, such as body mass index, physical inactivity, socioeconomic status and occupational exposures to carcinogenic chemicals. The possibility to adjust for these factors would have allowed more accurate risk estimates. Although, the current literature suggests only a small proportion of bladder cancer cases can be attributed to these factors. , , We were also not able to take into account any possible changes to dietary and lifestyle habits over time, which would better reflect the effect of long‐term diet. Likewise, information bias, which as a consequence of self‐reported information on food consumption is a common bias in nutritional epidemiology studies, should be taken into account when intenerating results. However, it is expected that the distribution of this bias was not significantly different between cases and noncases, suggesting that the impact of information bias on our findings might be minimal.

CONCLUSIONS

In conclusion, our analysis revealed that higher adherence to a Western dietary pattern is associated with increased risk of bladder cancer, particularly for men. This finding supports the hypothesis that Western dietary pattern may play a role in the etiology of bladder cancer. Further research is necessary to investigate the possible mechanisms for the Western dietary pattern effects on carcinogenesis of bladder cancer and to identify the components of Western dietary pattern that may be predominantly responsible for the observed association with bladder cancer risk.

CONFLICT OF INTEREST

The authors declare that they have no conflict of interest.

ETHICS STATEMENT

Each participating study has been approved by the local ethics committee. Informed consent was obtained from all individual participants included in each study. Appendix S1 Supporting information Click here for additional data file.
  60 in total

1.  EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer.

Authors:  N Day; S Oakes; R Luben; K T Khaw; S Bingham; A Welch; N Wareham
Journal:  Br J Cancer       Date:  1999-07       Impact factor: 7.640

2.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

3.  A large-scale prospective cohort study on diet and cancer in The Netherlands.

Authors:  P A van den Brandt; R A Goldbohm; P van 't Veer; A Volovics; R J Hermus; F Sturmans
Journal:  J Clin Epidemiol       Date:  1990       Impact factor: 6.437

Review 4.  Environmental factors and genetic susceptibility promote urinary bladder cancer.

Authors:  Dimitrios Volanis; Tanya Kadiyska; Alex Galanis; Dimitrios Delakas; Stella Logotheti; Vassilis Zoumpourlis
Journal:  Toxicol Lett       Date:  2010-01-04       Impact factor: 4.372

5.  Meat, eggs, dairy products, and risk of breast cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.

Authors:  Valeria Pala; Vittorio Krogh; Franco Berrino; Sabina Sieri; Sara Grioni; Anne Tjønneland; Anja Olsen; Marianne Uhre Jakobsen; Kim Overvad; Françoise Clavel-Chapelon; Marie-Christine Boutron-Ruault; Isabelle Romieu; Jakob Linseisen; Sabine Rohrmann; Heiner Boeing; Annika Steffen; Antonia Trichopoulou; Vassiliki Benetou; Androniki Naska; Paolo Vineis; Rosario Tumino; Salvatore Panico; Giovanna Masala; Claudia Agnoli; Dagrun Engeset; Guri Skeie; Eiliv Lund; Eva Ardanaz; Carmen Navarro; Maria-José Sánchez; Pilar Amiano; Carlos Alberto Gonzalez Svatetz; Laudina Rodriguez; Elisabet Wirfält; Jonas Manjer; Per Lenner; Göran Hallmans; Petra H M Peeters; Carla H van Gils; H Bas Bueno-de-Mesquita; Fränzel J B van Duijnhoven; Timothy J Key; Elizabeth Spencer; Sheila Bingham; Kay-Tee Khaw; Pietro Ferrari; Graham Byrnes; Sabina Rinaldi; Teresa Norat; Dominique S Michaud; Elio Riboli
Journal:  Am J Clin Nutr       Date:  2009-06-02       Impact factor: 7.045

6.  Dietary sources of N-nitroso compounds and bladder cancer risk: findings from the Los Angeles bladder cancer study.

Authors:  Chelsea E Catsburg; Manuela Gago-Dominguez; Jian-Min Yuan; J Esteban Castelao; Victoria K Cortessis; Malcolm C Pike; Mariana C Stern
Journal:  Int J Cancer       Date:  2013-07-15       Impact factor: 7.396

7.  Progetto ATENA, a study on the etiology of major chronic diseases in women: design, rationale and objectives.

Authors:  S Panico; R Dello Iacovo; E Celentano; R Galasso; P Muti; M Salvatore; M Mancini
Journal:  Eur J Epidemiol       Date:  1992-07       Impact factor: 8.082

8.  Diet and bladder cancer in Spain: a multi-centre case-control study.

Authors:  E Riboli; C A González; G López-Abente; M Errezola; I Izarzugaza; A Escolar; M Nebot; B Hémon; A Agudo
Journal:  Int J Cancer       Date:  1991-09-09       Impact factor: 7.396

Review 9.  Information bias in health research: definition, pitfalls, and adjustment methods.

Authors:  Alaa Althubaiti
Journal:  J Multidiscip Healthc       Date:  2016-05-04

10.  International pooled study on diet and bladder cancer: the bladder cancer, epidemiology and nutritional determinants (BLEND) study: design and baseline characteristics.

Authors:  Maria E Goossens; Fatima Isa; Maree Brinkman; David Mak; Raoul Reulen; Anke Wesselius; Simone Benhamou; Cristina Bosetti; Bas Bueno-de-Mesquita; Angela Carta; Md Farouk Allam; Klaus Golka; Eric J Grant; Xuejuan Jiang; Kenneth C Johnson; Margaret R Karagas; Eliane Kellen; Carlo La Vecchia; Chih-Ming Lu; James Marshall; Kirsten Moysich; Hermann Pohlabeln; Stefano Porru; Gunnar Steineck; Marianne C Stern; Li Tang; Jack A Taylor; Piet van den Brandt; Paul J Villeneuve; Kenji Wakai; Elisabete Weiderpass; Emily White; Alicja Wolk; Zuo-Feng Zhang; Frank Buntinx; Maurice P Zeegers
Journal:  Arch Public Health       Date:  2016-07-06
View more
  10 in total

1.  Diet quality, common genetic polymorphisms, and bladder cancer risk in a New England population-based study.

Authors:  Reno C Leeming; Stella Koutros; Margaret R Karagas; Dalsu Baris; Molly Schwenn; Alison Johnson; Michael S Zens; Alan R Schned; Nathaniel Rothman; Debra T Silverman; Michael N Passarelli
Journal:  Eur J Nutr       Date:  2022-06-27       Impact factor: 5.614

2.  Dietary patterns and risk of bladder cancer: a systematic review and meta-analysis.

Authors:  Mostafa Dianatinasab; Elaheh Forozani; Ali Akbari; Nazanin Azmi; Dariush Bastam; Mohammad Fararouei; Anke Wesselius; Maurice P Zeegres
Journal:  BMC Public Health       Date:  2022-01-11       Impact factor: 3.295

3.  Adherence to a western dietary pattern and risk of invasive ductal and lobular breast carcinomas: a case-control study.

Authors:  Elahe Foroozani; Mostafa Dianatinasab; Ali Akbari; Sasan Amanat; Nastaran Rashidi; Dariush Bastam; Shima Ataee; Golnaz Sharifnia; Mohammad Faraouei; Hassan Safdari
Journal:  Sci Rep       Date:  2022-04-07       Impact factor: 4.379

4.  Association between dietary acid load and cancer risk and prognosis: An updated systematic review and meta-analysis of observational studies.

Authors:  Ran Wang; Zhao-Yan Wen; Fang-Hua Liu; Yi-Fan Wei; He-Li Xu; Ming-Li Sun; Yu-Hong Zhao; Ting-Ting Gong; Hui-Han Wang; Qi-Jun Wu
Journal:  Front Nutr       Date:  2022-07-27

5.  Dietary fats and their sources in association with the risk of bladder cancer: A pooled analysis of 11 prospective cohort studies.

Authors:  Mostafa Dianatinasab; Anke Wesselius; Amin Salehi-Abargouei; Evan Y W Yu; Mohammad Fararouei; Maree Brinkman; Piet van den Brandt; Emily White; Elisabete Weiderpass; Florence Le Calvez-Kelm; Marc J Gunter; Inge Huybrechts; Maurice P Zeegers
Journal:  Int J Cancer       Date:  2022-02-25       Impact factor: 7.316

Review 6.  The Impact of Meat Intake on Bladder Cancer Incidence: Is It Really a Relevant Risk?

Authors:  Achille Aveta; Crescenzo Cacciapuoti; Biagio Barone; Erika Di Zazzo; Francesco Del Giudice; Martina Maggi; Matteo Ferro; Daniela Terracciano; Gian Maria Busetto; Giuseppe Lucarelli; Octavian Sabin Tataru; Emanuele Montanari; Benito Fabio Mirto; Alfonso Falcone; Gaetano Giampaglia; Enrico Sicignano; Federico Capone; Gianluca Villano; Pasquale Angellotto; Celeste Manfredi; Luigi Napolitano; Ciro Imbimbo; Savio Domenico Pandolfo; Felice Crocetto
Journal:  Cancers (Basel)       Date:  2022-09-29       Impact factor: 6.575

7.  Adherence to a Western dietary pattern and risk of bladder cancer: A pooled analysis of 13 cohort studies of the Bladder Cancer Epidemiology and Nutritional Determinants international study.

Authors:  Mostafa Dianatinasab; Anke Wesselius; Amin Salehi-Abargouei; Evan Y W Yu; Maree Brinkman; Mohammad Fararouei; Piet van den Brandt; Emily White; Elisabete Weiderpass; Florence Le Calvez-Kelm; Marc Gunter; Inge Huybrechts; Fredrik Liedberg; Guri Skeie; Anne Tjonneland; Elio Riboli; Graham G Giles; Roger L Milne; Maurice P Zeegers
Journal:  Int J Cancer       Date:  2020-07-20       Impact factor: 7.316

8.  Analysis of Fat Content with Special Emphasis on Trans Isomers in Frequently Consumed Food Products in Egypt: The First Steps in the Trans Fatty Acid Elimination Roadmap.

Authors:  Ghada Ismail; Randa Abo El Naga; Maysaa El Sayed Zaki; Jana Jabbour; Ayoub Al-Jawaldeh
Journal:  Nutrients       Date:  2021-09-02       Impact factor: 5.717

Review 9.  The association between meat and fish consumption and bladder cancer risk: a pooled analysis of 11 cohort studies.

Authors:  Mostafa Dianatinasab; Anke Wesselius; Tessa de Loeij; Amin Salehi-Abargouei; Evan Y W Yu; Mohammad Fararouei; Maree Brinkman; Piet van den Brandt; Emily White; Elisabete Weiderpass; Florence Le Calvez-Kelm; Marc J Gunter; Inge Huybrechts; Fredrik Liedberg; Guri Skeie; Anne Tjonneland; Elio Riboli; Maurice P Zeegers
Journal:  Eur J Epidemiol       Date:  2021-05-25       Impact factor: 8.082

Review 10.  Clinical Potential of Fruit in Bladder Cancer Prevention and Treatment.

Authors:  Paulina Wigner; Michał Bijak; Joanna Saluk-Bijak
Journal:  Nutrients       Date:  2022-03-08       Impact factor: 5.717

  10 in total

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