Full
Outline
To analyze the association between empirical dietary inflammatory pattern (EDIP) and breast cancer risk in women.
From 2013 to 2014, 718 patients with primary breast cancer diagnosed in Wuxi City, Jiangsu Province were included in the case group, and 849 women from the same area, age-matched within ±5 years and with no history of cancer, were included in the control group. A food frequency questionnaire was used to collect information on the types, frequencies, and quantities of food consumed by the subjects in the past 12 months. This study used a multivariable conditional logistic regression model to assess the influence of EDIP on the risk of breast cancer among females, and to calculate the corresponding odds ratio (OR) and 95% confidence interval (CI). The restricted cubic spline (RCS) method was also applied to explore the potential dose-response relationship between EDIP and breast cancer risk. Subgroup analyses were conducted to assess the interactions between EDIP and stratification variables such as age and physical activity.
The median age of the case group was 53 years, with 74.1% of the participants being postmenopausal; while the median age of the control group was also 53 years, and 58.2% of the participants in this group were postmenopausal. Following adjustment for potential confounders, the multivariable conditional logistic regression analysis indicated that the risk of breast cancer increased by 17% (OR=1.17, 95% CI: 1.05-1.31) for each one-standard deviation increase in EDIP. Using the T1 group as the reference, the risk of breast cancer increased by 35% in the T3 group (OR=1.35, 95% CI: 1.03-1.76). There was a positive linear dose-response relationship between EDIP and breast cancer risk (P for overall <0.05, P for nonlinearity >0.05). The association between EDIP and breast cancer was stronger in the subgroups of individuals with low levels of physical activity (P for interaction <0.05).
Elevated EDIP was associated with an increased risk of breast cancer in Chinese women, but further validation in prospective studies is still needed.
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| 科 Family | 属数 Number of genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) | 属 Genus | 种数 Number of species | 占总种数比例 Percentage of total species (%) |
|---|---|---|---|---|---|---|
| 鹅膏菌科Amanitaceae | 2 | 11 | 5.26 | 鹅膏菌属 Amanita | 10 | 4.78 |
| 小菇科 Mycenaceae | 2 | 12 | 5.74 | 丝盖伞属 Inocybe | 5 | 2.39 |
| 多孔菌科 Polyporaceae | 8 | 14 | 6.70 | 蜡蘑属 Laccaria | 5 | 2.39 |
| 红菇科 Russulaceae | 3 | 23 | 11.00 | 小皮伞属 Marasmius | 6 | 2.87 |
| 小菇属 Mycena | 11 | 5.26 | ||||
| 光柄菇属 Pluteus | 5 | 2.39 | ||||
| 红菇属 Russula | 17 | 8.13 | ||||
| 栓菌属 Trametes | 5 | 2.39 |
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