Effects of dairy products, calcium and vitamin D on ovarian cancer risk: a meta-analysis of twenty-nine epidemiological studies
Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks...
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Published in | British journal of nutrition Vol. 124; no. 10; pp. 1001 - 1012 |
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Main Authors | , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Cambridge, UK
Cambridge University Press
28.11.2020
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Abstract | Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks (RR) with 95 % CI were calculated. A total of twenty-nine case–control or cohort studies were included. For comparisons of the highest v. lowest intakes, higher whole milk intake was associated with increased ovarian cancer risk (RR 1·35; 95 % CI 1·15, 1·59), whereas decreased risks were observed for higher intakes of low-fat milk (RR 0·84; 95 % CI 0·73, 0·96), dietary Ca (RR 0·71; 95 % CI 0·60, 0·84) and dietary vitamin D (RR 0·80; 95 % CI 0·67, 0·95). Additionally, for every 100 g/d increment, increased ovarian cancer risks were found for total dairy products (RR 1·03; 95 % CI 1·01, 1·04) and for whole milk (RR 1·07; 95 % CI 1·03, 1·11); however, decreased risks were found for 100 g/d increased intakes of low-fat milk (RR 0·95; 95 % CI 0·91, 0·99), cheese (RR 0·87; 95 % CI 0·76, 0·98), dietary Ca (RR 0·96; 95 % CI 0·95, 0·98), total Ca (RR 0·98; 95 % CI 0·97, 0·99), dietary vitamin D (RR 0·92; 95 % CI 0·87, 0·97) and increased levels of circulating vitamin D (RR 0·84; 95 % CI 0·72, 0·97). These results show that whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary Ca and dietary vitamin D might reduce the risk. |
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AbstractList | Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks (RR) with 95 % CI were calculated. A total of twenty-nine case–control or cohort studies were included. For comparisons of the highest v. lowest intakes, higher whole milk intake was associated with increased ovarian cancer risk (RR 1·35; 95 % CI 1·15, 1·59), whereas decreased risks were observed for higher intakes of low-fat milk (RR 0·84; 95 % CI 0·73, 0·96), dietary Ca (RR 0·71; 95 % CI 0·60, 0·84) and dietary vitamin D (RR 0·80; 95 % CI 0·67, 0·95). Additionally, for every 100 g/d increment, increased ovarian cancer risks were found for total dairy products (RR 1·03; 95 % CI 1·01, 1·04) and for whole milk (RR 1·07; 95 % CI 1·03, 1·11); however, decreased risks were found for 100 g/d increased intakes of low-fat milk (RR 0·95; 95 % CI 0·91, 0·99), cheese (RR 0·87; 95 % CI 0·76, 0·98), dietary Ca (RR 0·96; 95 % CI 0·95, 0·98), total Ca (RR 0·98; 95 % CI 0·97, 0·99), dietary vitamin D (RR 0·92; 95 % CI 0·87, 0·97) and increased levels of circulating vitamin D (RR 0·84; 95 % CI 0·72, 0·97). These results show that whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary Ca and dietary vitamin D might reduce the risk. Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks (RR) with 95 % CI were calculated. A total of twenty-nine case–control or cohort studies were included. For comparisons of the highest v . lowest intakes, higher whole milk intake was associated with increased ovarian cancer risk (RR 1·35; 95 % CI 1·15, 1·59), whereas decreased risks were observed for higher intakes of low-fat milk (RR 0·84; 95 % CI 0·73, 0·96), dietary Ca (RR 0·71; 95 % CI 0·60, 0·84) and dietary vitamin D (RR 0·80; 95 % CI 0·67, 0·95). Additionally, for every 100 g/d increment, increased ovarian cancer risks were found for total dairy products (RR 1·03; 95 % CI 1·01, 1·04) and for whole milk (RR 1·07; 95 % CI 1·03, 1·11); however, decreased risks were found for 100 g/d increased intakes of low-fat milk (RR 0·95; 95 % CI 0·91, 0·99), cheese (RR 0·87; 95 % CI 0·76, 0·98), dietary Ca (RR 0·96; 95 % CI 0·95, 0·98), total Ca (RR 0·98; 95 % CI 0·97, 0·99), dietary vitamin D (RR 0·92; 95 % CI 0·87, 0·97) and increased levels of circulating vitamin D (RR 0·84; 95 % CI 0·72, 0·97). These results show that whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary Ca and dietary vitamin D might reduce the risk. Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks (RR) with 95 % CI were calculated. A total of twenty-nine case-control or cohort studies were included. For comparisons of the highest v. lowest intakes, higher whole milk intake was associated with increased ovarian cancer risk (RR 1·35; 95 % CI 1·15, 1·59), whereas decreased risks were observed for higher intakes of low-fat milk (RR 0·84; 95 % CI 0·73, 0·96), dietary Ca (RR 0·71; 95 % CI 0·60, 0·84) and dietary vitamin D (RR 0·80; 95 % CI 0·67, 0·95). Additionally, for every 100 g/d increment, increased ovarian cancer risks were found for total dairy products (RR 1·03; 95 % CI 1·01, 1·04) and for whole milk (RR 1·07; 95 % CI 1·03, 1·11); however, decreased risks were found for 100 g/d increased intakes of low-fat milk (RR 0·95; 95 % CI 0·91, 0·99), cheese (RR 0·87; 95 % CI 0·76, 0·98), dietary Ca (RR 0·96; 95 % CI 0·95, 0·98), total Ca (RR 0·98; 95 % CI 0·97, 0·99), dietary vitamin D (RR 0·92; 95 % CI 0·87, 0·97) and increased levels of circulating vitamin D (RR 0·84; 95 % CI 0·72, 0·97). These results show that whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary Ca and dietary vitamin D might reduce the risk.Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an updated meta-analysis. Five electronic databases (e.g. PubMed and Embase) were searched from inception to 24 December 2019. Pooled relative risks (RR) with 95 % CI were calculated. A total of twenty-nine case-control or cohort studies were included. For comparisons of the highest v. lowest intakes, higher whole milk intake was associated with increased ovarian cancer risk (RR 1·35; 95 % CI 1·15, 1·59), whereas decreased risks were observed for higher intakes of low-fat milk (RR 0·84; 95 % CI 0·73, 0·96), dietary Ca (RR 0·71; 95 % CI 0·60, 0·84) and dietary vitamin D (RR 0·80; 95 % CI 0·67, 0·95). Additionally, for every 100 g/d increment, increased ovarian cancer risks were found for total dairy products (RR 1·03; 95 % CI 1·01, 1·04) and for whole milk (RR 1·07; 95 % CI 1·03, 1·11); however, decreased risks were found for 100 g/d increased intakes of low-fat milk (RR 0·95; 95 % CI 0·91, 0·99), cheese (RR 0·87; 95 % CI 0·76, 0·98), dietary Ca (RR 0·96; 95 % CI 0·95, 0·98), total Ca (RR 0·98; 95 % CI 0·97, 0·99), dietary vitamin D (RR 0·92; 95 % CI 0·87, 0·97) and increased levels of circulating vitamin D (RR 0·84; 95 % CI 0·72, 0·97). These results show that whole milk intake might contribute to a higher ovarian cancer risk, whereas low-fat milk, dietary Ca and dietary vitamin D might reduce the risk. |
Author | Gao, Xu-Ping Chen, Qing-Shan Cao, Wen-Ting Joseph, Tanya Naicker, Nalen Yu, Xiao-Xuan Zeng, Fang-Fang Yang, Zhi-Cong Liao, Min-Qi Zeng, Yu-Fei Zhu, Sui Liu, Yan-Hua Li, Shu-Na |
Author_xml | – sequence: 1 givenname: Min-Qi surname: Liao fullname: Liao, Min-Qi organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 2 givenname: Xu-Ping surname: Gao fullname: Gao, Xu-Ping organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 3 givenname: Xiao-Xuan surname: Yu fullname: Yu, Xiao-Xuan organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 4 givenname: Yu-Fei surname: Zeng fullname: Zeng, Yu-Fei organization: 3Department of Obstetrics and Gynecology, Shangrao Fifth People’s Hospital, Shangrao334000, Jiangxi, People’s Republic of China – sequence: 5 givenname: Shu-Na surname: Li fullname: Li, Shu-Na organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 6 givenname: Nalen surname: Naicker fullname: Naicker, Nalen organization: 4International School, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 7 givenname: Tanya surname: Joseph fullname: Joseph, Tanya organization: 4International School, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 8 givenname: Wen-Ting surname: Cao fullname: Cao, Wen-Ting organization: 5Department of Medical Statistics & Epidemiology, School of Public Health, Hainan Medical University, Haikou571199, People’s Republic of China – sequence: 9 givenname: Yan-Hua surname: Liu fullname: Liu, Yan-Hua organization: 6The First Affiliated Hospital of Zhengzhou University, No. 1 East Jianshe Road, Zhengzhou450052, Henan, People’s Republic of China – sequence: 10 givenname: Sui surname: Zhu fullname: Zhu, Sui organization: 7Department of Medical Statistics, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 11 givenname: Qing-Shan surname: Chen fullname: Chen, Qing-Shan organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China – sequence: 12 givenname: Zhi-Cong surname: Yang fullname: Yang, Zhi-Cong email: zengffjnu@126.com organization: 8Guangzhou Center for Disease Control and Prevention, No. 1 Qi De Road, Guangzhou510440, Guangdong, People’s Republic of China – sequence: 13 givenname: Fang-Fang orcidid: 0000-0001-8650-0927 surname: Zeng fullname: Zeng, Fang-Fang email: zengffjnu@126.com organization: 1Department of Epidemiology, School of Medicine, Jinan University, No. 601 Huangpu Road West, Guangzhou510632, Guangdong, People’s Republic of China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/32189606$$D View this record in MEDLINE/PubMed |
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Snippet | Findings for the roles of dairy products, Ca and vitamin D on ovarian cancer risk remain controversial. We aimed to assess these associations by using an... |
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SubjectTerms | Animals Calciferol Calcium Calcium - blood Calcium, Dietary - administration & dosage Cancer Case-Control Studies cheeses Cohort Studies Dairy products Dairy Products - adverse effects Diet - adverse effects Epidemiology Estimates Female Health risks Humans Lactose low fat milk Medical prognosis Medical research Meta-analysis Milk Milk - chemistry milk consumption Nutrition research Ovarian cancer ovarian neoplasms Ovarian Neoplasms - epidemiology Regression analysis Risk Risk analysis Risk assessment Risk reduction Systematic Review and Meta-Analysis Vitamin D Vitamin D - administration & dosage Vitamin D - blood whole milk |
Title | Effects of dairy products, calcium and vitamin D on ovarian cancer risk: a meta-analysis of twenty-nine epidemiological studies |
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