| Literature DB >> 29283380 |
Xiaofan Li1, Jing Zhao2, Peiqin Li3, Ying Gao4.
Abstract
Observational studies have suggested inconsistent findings on the relationship between dairy products intake and endometrial cancer risk. This study aimed to conduct a meta-analysis to evaluate this correlation; moreover, databases including PubMed, ISI Web of Science, and Embase were screened for relevant studies up to 26 February 2017. The inverse variance weighting method and random effects models were used to calculate the overall OR (odds ratio) values and 95% confidence interval (CI). A total of 2 cohort study and 16 case-control studies were included in the current analysis. No significant association was observed between endometrial cancer risk and the intake of total dairy products, milk, or cheese for the highest versus the lowest exposure category (total dairy products (14 studies): OR 1.04, 95% CI: 0.97-1.11, I² = 73%, p = 0.000; milk (6 studies): 0.99, 95% CI: 0.89-1.10, I² = 0.0%, p = 0.43; cheese (5 studies): 0.89, 95% CI: 0.76-1.05, I² = 39%, p = 0.16). The only cohort study with a total of 456,513 participants reported a positive association of butter intake with endometrial cancer risk (OR = 1.14; 95% CI = 1.03-1.26, I² = 2.6%, p = 0.31). There was a significant negative association of dairy products intake and endometrial cancer risk among women with a higher body mass index (BMI) (5 studies, OR 0.66, 95% CI = 0.46-0.96, I² = 75.8%, p = 0.002). Stratifying the analyses by risk factors including BMI should be taken into account when exploring the association of dairy products intake with endometrial cancer risk. Further well-designed studies are needed.Entities:
Keywords: butter; dairy products; endometrial cancer; meta-analysis; milk; nutrients; subgroup analysis
Mesh:
Year: 2017 PMID: 29283380 PMCID: PMC5793253 DOI: 10.3390/nu10010025
Source DB: PubMed Journal: Nutrients ISSN: 2072-6643 Impact factor: 5.717
Figure 1Study flow diagram.
Characteristics of the included studies evaluating dairy products and endometrial cancer risk.
| Reference | Geographic Region | Case/Control (Cohort) | Age (Case) | Exclusion of Hysterectomy | Time Frame for Dietary Assessment § | Dairy Source | OR (95% CI) | Covariates ‖ | NOS Stars |
|---|---|---|---|---|---|---|---|---|---|
| Merritt, 2015 [ | Europe | 1303/301,107 | 25–70 | yes | dietary questionnaire EPIC (1992–2000) | Butter: >10.3 vs. 0 g/day | 1.23 (1.03, 1.47) | B.E.S.H.R | 8 |
| Merritt, 2015 [ | US | 1531/205,863 | 30–55/25–42 | yes | every 4 years | Butter: 5.0 vs. 0 g/day | 1.10 (0.97, 1.24) | B.E.S.H.R | 7 |
| Potischman, 1992 [ | US | 399/296 | 20–74 | yes | few years | Dairy: 17.6 vs. 6.0 times/week | 1.2 (0.70, 2.00) | A.B.E.H.S.R | 7 |
| McCann, 2000 [ | US | 232/639 | 40–85 | yes | 2 years | Dairy: >56 vs. ≤32 times/month | 0.8 (0.5, 1.3) | A.B.H.S.R | 6 |
| Jain, 2000 [ | Canada | 552/562 | 30–79 | yes | - | Milk: 413 vs. 84 g/day | 0.86 (0.59, 1.24) | A.B.E.H.S.R | 7 |
| Littman, 2001 [ | US | 679/944 | 45–74 | yes | 5 years | Dairy: >2.4 vs. <1.2 servings/day | 1.0 (0.78, 1.40) | A.B.E.H.S | 8 |
| Terry, 2002 [ | Sweden | 709/2887 | 50–74 | yes | 1 year | Dairy: median intake 35 vs. 5 serving/week | 0.90 (0.70, 1.20) | A.B.S | 6 |
| Xu, 2006 [ | China | 1204/1212 | 30–69 | yes | 5 years | Milk: ever vs. never | 1.0 (0.80, 1.20) | A.B.E | 7 |
| Chandran et al., 2010 [ | US | 417/395 | >21 | yes | 6 months | Dairy: ≥0.99 vs. <0.26 cups/day/1000 kcal) | 0.81 (0.52, 1.27) | A.B.E.S.H.R | 7 |
| Mettlin, 1990 [ | US | 231/1300 | 19–97 | - | habits before | Whole Milk: daily vs. none | 1.50 (1.0, 2.40) | A.S | 5 |
| Barbone, 1993 [ | US | 103/236 | mean 64 | yes | 1 year | Skim milk: ≥1 vs. <1/month | 0.60 (0.30, 1.0) | A.E.H.S.R | 5 |
| Tzonou, 1996 [ | Greece | 145/298 | - | not mention | 1 year | Dairy: per quartile | 0.94 (0.74, 1.19) | A.B.E.H.S.R | 6 |
| Hirose, 1996 [ | Japan | 145/26,751 | >20 | not mention | - | Milk: daily vs. occasional/none | 1.04 (0.68, 1.60) | B.S.R | 5 |
| Petridou, 2002 [ | Greece | 84/84 | - | yes | 12 months | Dairy: per quartile | 1.21 (0.86, 1.69) | (A).B.E.R | 7 |
| Salazar-Martinez, 2005 [ | Mexico | 85/629 | 22–79 | yes | 1 year | Dairy: tertile3 vs. tertile1 | 0.5 (0.23, 1.13) | A.B.E.R | 6 |
| Bravi, 2009 [ | Italy | 454/908 | 18–79 | yes | 2 years | Milk and yogurt: >10.50 vs. <1 servings/week | 1.24 (0.8, 1.93) | B.E.H.R | 6 |
| Filomeno, 2015 [ | Italy | 1411/3668 | median 61 | - | 2 years | Dairy: >median vs. <median | 1.19 (1.04, 1.36) | A.B.E.S.H.R | 5 |
| Rotman, 2016 [ | Poland | 68/480 | 40–84 | - | - | Dairy: 250 vs. 0 g/day | 0.25 (0.07, 0.97) | - | 4 |
§ Time before onset of cancer or before interview; ‖ Covariates: A = age, B = body mass index (BMI) or weight, E = total energy, H = HRT (hormone replacement therapy) or estrogen use, R = reproductive factors, S = Smoking. (A): matched on age; NOS: Newcastle—Ottawa Scale; OR: odds ratio.
Figure 2Forest plot of the summary risk estimate of endometrial cancer in the highest category of dairy intake compared with that in the lowest category by the random effects model. OR, odds ratio; CI, confidence interval.
Figure 3Funnel plot of the meta-analysis for the association between total dairy intake and risk of endometrial cancer.
Figure 4Egger’s regression asymmetry test of the meta-analysis for the association between total dairy intake and risk of endometrial cancer.
Figure 5Forest plot of the summary risk estimate of endometrial cancer in the highest category of total dairy intake compared with that in the lowest category after exclusion of Newcastle—Ottawa Quality assessment scale (NOS) scores less than 6 by the random effects model. OR, odds ratio; CI, confidence interval.
Figure 6Subgroup analysis of the forest plot of the risk estimate of endometrial cancer comparing the highest category of dairy intake with the lowest category. OR, odds ratio; CI, confidence interval; BMI, body mass index.