scholarly journals The association between plant-based dietary patterns and risk of breast cancer: a case–control study

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Somaye Rigi ◽  
Seyed Mohammad Mousavi ◽  
Sanaz Benisi-Kohansal ◽  
Leila Azadbakht ◽  
Ahmad Esmaillzadeh

AbstractLimited data are available, linking the plant-based diets to breast cancer (BC). We examined the association of overall plant-based diet index (PDI), hypothesized healthful (hPDI) and unhealthful versions of a plant-based diet index (uPDI) with BC in Iranian women. This population-based case–control study included 350 cases with newly diagnosed BC and 700 age-matched apparently healthy controls. We collected dietary data using a validated, Willett-format semi-quantitative food frequency questionnaire. Using these data, we generated a PDI by dedicating positive scores to plant foods, and reverse scores to animal foods, hPDI by assigning positive scores to healthy plant foods and reverse scores to less healthy plant foods and animal foods, and finally uPDI in which positive scores were assigned to less healthy plant foods and reverse scores to healthy plant foods and animal foods. After controlling for potential confounders, individuals in the highest quartile of PDI had 67% lower odds of BC than those in the lowest quartile (OR 0.33; 95% CI 0.22–0.50). Individuals with the greatest adherence to hPDI were 36% less likely to have BC than those with the lowest adherence, in the fully adjusted model (OR 0.64; 95% CI 0.43–0.94). In terms of uPDI, women in the top quartile had a 2.23 times greater chance of BC than those in the bottom quartile (OR 2.23; 95% CI 1.48–3.36). Greater adherence to PDI and hPDI was inversely associated with the risk of BC, whereas uPDI was associated with an increased risk.

BMJ Open ◽  
2018 ◽  
Vol 8 (3) ◽  
pp. e020194 ◽  
Author(s):  
Chien-Hsiang Weng ◽  
Yi-Huei Chen ◽  
Ching-Heng Lin ◽  
Xun Luo ◽  
Tseng-Hsi Lin

ObjectiveTo evaluate whether hyperthyroidism or hypothyroidism increases the risk of subsequent breast cancer in an Asian population.DesignNationwide population-based case–control study.SettingAll healthcare facilities in Taiwan.ParticipantsA total of 103 466 women (mean age 53.3 years) were enrolled.Methods51 733 adult women with newly diagnosed primary breast cancer without a previous cancer history between 2006 and 2011 were identified and included in our study. 51 733 women with no cancer diagnosis prior to the index date were age matched as controls. Diagnosis of hyperthyroidism or hypothyroidism prior to the diagnosis of breast cancer or the same index date was identified, age, histories of thyroid disease treatment, oestrogen use and radioactive iodine treatment were adjusted.Main outcome measuresTo identify risk differences in developing breast cancer among patients with a medical history of hyperthyroidism or hypothyroidism.ResultsThere was a significantly increased risk of breast cancer in women with hyperthyroidism under the age of 55 years (age <45: OR 1.16, P=0.049; age 45–55: OR 1.15, P=0.019). Patients with hypothyroidism also showed an increased risk of breast cancer (OR 1.19, P=0.029) without statistical significance after stratification by age group (age <45, 45–55, >55 years). Treatment for thyroid disorders did not alter the association in subgroup analyses (P=0.857; 0.262, respectively).ConclusionsAsian women under 55 years of age with history of hyperthyroidism have a significantly increased risk of breast cancer regardless of treatment. Women with history of hypothyroidism may also have an increased risk.


2019 ◽  
Author(s):  
Jonine Figueroa ◽  
Brittny C. Davis Lynn ◽  
Lawrence Edusei ◽  
Nicholas Titiloye ◽  
Ernest Adjei ◽  
...  

2003 ◽  
Vol 199 (1) ◽  
pp. 27-33 ◽  
Author(s):  
Kathleen M Egan ◽  
Patricia A Thompson ◽  
Linda Titus-Ernstoff ◽  
Jason H Moore ◽  
Christine B Ambrosone

2018 ◽  
Vol 19 (1) ◽  
pp. 56-60 ◽  
Author(s):  
Shih-Chang Hung ◽  
Kuan-Fu Liao ◽  
Hung-Chang Hung ◽  
Cheng-Li Lin ◽  
Po-Chang Lee ◽  
...  

2021 ◽  
Vol 20 (1) ◽  
Author(s):  
C. Airoldi ◽  
C. Magnani ◽  
F. Lazzarato ◽  
D. Mirabelli ◽  
S. Tunesi ◽  
...  

Abstract Background Neighborhood exposure to asbestos increases the risk of developing malignant mesothelioma (MM) in residents who live near asbestos mines and asbestos product plants. The area of Casale Monferrato (Northwest Italy) was impacted by several sources of asbestos environmental pollution, due to the presence of the largest Italian asbestos cement (AC) plant. In the present study, we examined the spatial variation of MM risk in an area with high levels of asbestos pollution and secondly, and we explored the pattern of clustering. Methods A population-based case–control study conducted between 2001 and 2006 included 200 cases and 348 controls. Demographic and occupational data along with residential information were recorded. Bivariate Kernel density estimation was used to map spatial variation in disease risk while an adjusted logistic model was applied to estimate the impact of residential distance from the AC plant. Kulldorf test and Cuzick Edward test were then performed. Results One hundred ninety-six cases and 322 controls were included in the analyses. The contour plot of the cases to controls ratio showed a well-defined peak of MM incidence near the AC factory, and the risk decreased monotonically in all directions when large bandwidths were used. However, considering narrower smoothing parameters, several peaks of increased risk were reported. A constant trend of decreasing OR with increasing distance was observed, with estimates of 10.9 (95% CI 5.32–22.38) and 10.48 (95%CI 4.54–24.2) for 0–5 km and 5–10 km, respectively (reference > 15 km). Finally, a significant (p < 0.0001) excess of cases near the pollution source was identified and cases are spatially clustered relative to the controls until 13 nearest neighbors. Conclusions In this study, we found an increasing pattern of mesothelioma risk in the area around a big AC factory and we detected secondary clusters of cases due to local exposure points, possibly associated to the use of asbestos materials.


Author(s):  
Saman SARGAZI ◽  
Milad HEIDARI NIA ◽  
Shekoufeh MIRINEJAD ◽  
Mahdiyeh MOUDI ◽  
Mahdiyeh JAFARI SHAHROUDI ◽  
...  

Background: KIF26B gene is found to play essential roles in regulating different aspects of cell proliferation and development of the nervous system. We aimed to determine if rs12407427 T/C polymorphism could affect susceptibility to schizophrenia (SZN) and breast cancer (BC), the two genetically correlated diseases. Methods: The current case-control study was performed from Aug 2018 to Dec 2018. Briefly, 159 female pathologically confirmed BC cases referring to Alzahra Hospital, Isfahan, Iran, and 102 psychologically confirmed SZN patients (60 males and 42 females) admitted to Baharan Hospital, Zahedan, Iran, were enrolled. Using the salting-out method, genomic DNA was extracted, and variants were genotyped using allele-specific amplification refractory mutation system polymerase chain reaction (ARMS-PCR) method. Results: The results revealed a significant association between the KIF26B rs12407427 codominant CT (P=0.001), CC (P=0.0001), dominant CT+CC, and recessive CC (P=0.001) genotypes with the risk of developing SZN. Significant correlations were also found regarding rs12407427 and BC susceptibility in different inheritance models, including over-dominant CT (P=0.026), dominant CT+CC (P=0.001), recessive CC (P=0.009), and codominant CT and CC (P=0.001) genotypes. The over-presence of the C allele was also correlated with an increased risk for SZN (P=0.0001) and BC (P=0.0001). Finally, computational analysis predicted that T/C variation in this polymorphism could change the binding sites in proteins involved in splicing. Conclusion: rs12407427 T/C as a de novo KIF26B variant might be a novel genetic biomarker for SZN and/or BC susceptibility in a sample of the Iranian population.


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