TABLE 1.
Characteristics of the case-control studies included in the systematic review and meta-analysis of the relation between dairy product intake and bladder cancer in the adult population1
Reference | Country | Study/period of data collection (y) | Age distribution (y) | Sample size | Dietary assessment | Dairy products | Dairy amount comparison | Number of bladder cancer events | Variables of adjustment | Risk of bias2 |
---|---|---|---|---|---|---|---|---|---|---|
Mettlin and Graham (15) | United States | 1957–1965 | NA | 1594 | Interview | Milk | Servings per day (5 categories) | 569 | Age | Low |
Risch et al. (16) | Canada | 1979–1982 | 35–79 | 1618 | Questionnaire | Milk | Servings per day (2 categories) | 826 | Age, sex, area of residence, lifetime smoking consumption, and history of diabetes | High |
Slattery et al. (17) | United States | 1977–1982 | 21–84 | 1308 | Interview | Milk | Servings per week (4 categories) | 419 | Age, sex, smoking status, diabetes, and bladder infection | High |
Mettlin et al. (18) | United States | 1982–1990 | 18–97 | 1478 | Questionnaire | High-fat milk 2% fat milk Low-fat milk | Servings per day (3 categories) | 178 | Age, sex, smoking history, education, and county of residence | Low |
Riboli et al. (19) | Spain | 1985–1986 | <80 | 1224 | Dietary questionnaire | Dairy Butter/cream | Quartiles of intake | 432 | Age, sex, smoking, area of residence, total calories | Moderate |
Wilkens et al. (20) | United States | 1977–1986 | 30–93 | 783 | FFQ/32 items | Milk | Tertiles of intake | 261 | Age, smoking status, pack-years, employment in a high-risk occupation, consumption of dark green vegetables in men, and total vitamin C consumption in women | High |
Lu et al. (21) | Taiwan | 1996–1997 | 67.5 | 200 | FFQ | Milk | Nonintake vs. intake | 40 | Age, sex, date of admission, family history, ethnicity, and smoking status | Moderate |
Wakai et al. (22) | Japan | 1996–1999 | 20–99 | 592 | FFQ/97 items | Dairy | Quartiles of intake | 297 | Age, sex, smoking, and occupational history as a cook | Low |
Balbi et al. (23) | Uruguay | 1998–1999 | 40–89 | 720 | FFQ/64 items | Dairy Cheese Butter High-fat milk | Tertiles of intake | 144 | Age, BMI, calories | Moderate |
Ohashi et al. (24) | Japan | 1997–1998 | 49–80 | 625 | Questionnaire | Fermented dairy Yakult | Servings per day (3 categories) | 180 | Age, sex, and smoking | Low |
Radosavljević et al. (25) | Serbia | 1997–1999 | 26–81 | 260 | FFQ | High-fat milk Low-fat milk Yogurt | Nonintake vs. intake | 130 | Age, sex, smoking, place of residence | Low |
Wakai et al. (26) | Japan | 1994–2000 | 20–79 | 744 | FFQ | Milk | Quartiles of intake | 124 | Age, sex, cumulative consumption of cigarettes, year of first visit | Low |
Jiang et al. (27) | United States | 1987–1999 | 25–64 | 3172 | Interview | Milk | Quartiles of intake | 1586 | Age, sex, race, level of education, use of nonsteroidal anti-inflammatory drugs, carotenoid intake, number of years as hairdresser/barber, cigarette smoking status, duration of smoking, and intensity of smoking | Low |
La Vecchia et al. (28) | Italy | 1985–1987 | 45–74 | 344 | FFQ | Milk Cheese Butter | Tertiles of intake | 163 | Age and sex | Moderate |
Hemelt et al. (29) | China | 2005–2008 | 65 | 824 | Interview | Milk | Nonintake vs: - Intake - < Daily or daily - 1 cup or >1 cup | 432 | Age, sex, smoking status, smoking frequency, and smoking duration–adjusted ORs | Low |
Brinkman et al. (30) | Belgium | 1999–2004 | 50–80 | 575 | Validated FFQ/322 items | Milk Cheese | Tertiles of intake | 198 | Sex, age, smoking status, number of cigarettes smoked per day, number of years smoking, occupational exposure to polycyclic aromatic hydrocarbons or aromatic amines, and energy intake | Low |
Isa et al. (31) | China | 2005–2008 | 40–80 | 956 | FFQ/35 items | Dairy | Servings per week (5 categories) | 487 | Sex, age, smoking status, smoking duration, smoking amount, and other food groups | Low |
Ronco et al. (32) | Uruguay | 1996–2004 | 30–89 | 1735 | FFQ/64 items | Milk Butter Cheese | Tertiles of intake | 225 | Age, residence, education, BMI, smoking, alcohol drinking, meat consumption, total energy, and total vegetable and fruit intakes | Low |
1NA, not available; PAH, polycyclic aromatic hydrocarbon.
2Risk of bias assessed using the Quality in Prognosis Studies (QUIPS) tool.