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Lipids Health Dis ; 20(1): 138, 2021 Oct 17.
Article in English | MEDLINE | ID: mdl-34657612

ABSTRACT

AIM: To examine the relationship between dietary fat intake and breast cancer (BC) development. METHOD: This case-control study included 473 women with breast cancer (pathologically confirmed) and 501 healthy subjects matched by age and residency. Dietary intakes of different types and sources of fatty acids were assessed using a validated food frequency questionnaire. The association between dietary fats and odds of BC was assessed using a logistic regression model in crude and multivariable-adjusted models. P values below 0.05 were regarded as statistically significant. RESULTS: Participants' age and body mass index were 44.0 ± 10.8 years and 28.4 ± 5.6 kg/m2, respectively. Individuals with the highest quartile of total fat intake and polyunsaturated fatty acid (PUFA) intake were 1.50 times more at risk to develop BC than others. A positive significant association was observed between animal fat (Q4 vs. Q1, OR = 1.89, 95 % CI = 0.93-3.81), saturated fatty acid (SFA) (Q4 vs. Q1, OR = 1.70, 95 % CI = 0.88-3.30), monounsaturated fatty acid (MUFA) (Q4 vs. Q1 OR = 1.85, 95 % CI = 0.95-3.61) and PUFA intake (Q4 vs. Q1, OR = 2.12, 95 % CI = 1.05-4.27) with BC risk in postmenopausal women. However, there was no association in premenopausal women. CONCLUSIONS: Total dietary fat and its subtypes might increase the risk of BC, especially in postmenopausal women. This observational study confirms the role of dietary fat in breast cancer development. Intervention studies involving different estrogen receptor subgroups are needed.


Subject(s)
Breast Neoplasms/etiology , Dietary Fats/adverse effects , Adult , Age Factors , Aged , Aged, 80 and over , Body Mass Index , Case-Control Studies , Diet Surveys , Dietary Fats/administration & dosage , Fatty Acids/administration & dosage , Fatty Acids/adverse effects , Fatty Acids, Unsaturated/administration & dosage , Fatty Acids, Unsaturated/adverse effects , Female , Humans , Iran/epidemiology , Logistic Models , Middle Aged , Risk Factors , Young Adult
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