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Table 5 Characteristics of case–control studies evaluating sugar consumption and ovarian cancer risk

From: Sugary food and beverage consumption and epithelial ovarian cancer risk: a population-based case–control study

Reference

Location

Cases/controls (n)

Dietary assessment

Time frame of dietary assessment

Sugar variables

Covariates

Effect modifiers

Results

Case–control studies: population-based

     

Kuper et al, 2000 [11]

MA, NH (United States)

549/516

FFQ plus open ended section for unlisted foods

1 year prior to index date

Caffeinated cola

Age, study center

Menopausal status, tumor histologic type

+ association: highest level of consumption of caffeinated cola No evidence of effect modification

McCann et al., 2003 [8]

NY (United States)

124/696

Interviewer-administered diet questionnaire (172 items)

12 month period 2yr before interview

Snacks

age, education, total months menstruating, difficulty becoming pregnant, OC use, menopausal status, energy intake

None

No association: Snacks

Pan et al., 2004 [9]

Canada

442/2,135

FFQ (69 items)

2 years prior to index date

Baked desserts

age, province of residence, education, alcohol consumption, pack-years smoked, BMI, total kcal, physical activity, # of live births, menstruation years, menopause status

None

No association: baked desserts

Kolahdooz et al, 2009 [6]

Australia

717/806

FFQ (123 items)

1 year prior to index date

“Meat and fat”1 category: High-energy drinks and sweetened food and sugar

age, age squared, OC use, parity, education, energy intake

Tumor stage

No association: high-energy drinks and sweetened food and sugar did not explain the relationship between “meat and fat” and ovarian cancer

Chandran et al., 2011 [17]

NJ (United States)

205/390

FFQ (110 items)

6 months prior to index date

SoFAAS: total calories from solid fat, alcoholic beverages, and added sugar

Age, education, race, age at menarche, menopausal status, parity, OC use, HRT use, tubal ligation, BMI, energy intake, physical activity, smoking status, pack-years smoked

None

No association: SoFAAS

Nagle et al., 2011 [35]

Australia

1,366/1,414

FFQ (136 items)

1 year or if diet changed in last 6-12 mo, their usual diet

Total sugar

age, OC use, education, parity, BMI, menopausal status, energy intake

BMI, HRT use, menopausal status

No association: total sugar + association: total sugars among overweight/obese women. No effect modification by HRT use and menopausal status

Case–control studies: hospital-based

      

Tzonou et al., 1993 [36]

Greece

189/200

FFQ (110 items)

1 year prior to index date

Sucrose

Age, education, parity, age at first birth, menopausal status, energy intake

None

No association: sucrose

Bosetti et al., 2001 [5]2

Italy

1,031/2,411

FFQ (78 items, plus range of courses and dishes)

2 year prior to index date

Desserts, Sugar

age, study center, year of interview, education, parity, OC use, energy intake

None

+ association: sugar, Borderline + association: desserts

Bidoli et al., 2002 [37]2

Italy

1,031/2,411

FFQ (78 items, plus range of courses and dishes)

2 year prior to index date

Sugar

age, study center, year of interview, education, parity, OC use, energy intake

Parity, menopausal status, energy intake, age, education, OC use

No association: sugar No evidence of effect modification

Salazar-Martinez et al, 2002 [10]

Mexico

84/629

FFQ (116 items)

1 year prior to index date

Sucrose, fructose, glucose, maltose, “bread and cereal”, “sweets and desserts”, “soda, coffee, and tea”, tortilla

age, energy intake, # of live births, recent changes in weight, physical activity, diabetes

None

No association: sucrose, fructose, glucose, maltose, bread and cereal, sweets and desserts, soda, coffee and tea, tortilla

  1. Abbreviations: BMI- body mass index, DHQ- diet history questionnaire, ERT- unopposed estrogen replacement therapy, FFQ- food frequency questionnaire, HRT- hormone replacement therapy, OC- oral contraceptives, WHR- waist-to-hip ratio, “+ association” - positive association, “- association”- negative association 1 “Meat and fat” category included processed and red meat, poultry, liver, high-energy drinks (Cola drinks, other soft drinks, and cordials) and sweetened foods (cake, tart or pie, pastry, pavlova (meringue dessert), cheesecake, sweet roll, bun, plain sweet biscuits, fancy biscuits (e.g. chocolate coated), chocolate, lollies (candies), jam, peanut butter, and sugar) 2 Bidoli (2002) and Bosetti (2001) were from the same study.