scholarly journals Association Between Organic Food Consumption and Breast Cancer Risk: Findings from the Sister Study (P18-038-19)

2019 ◽  
Vol 3 (Supplement_1) ◽  
Author(s):  
Yong-Moon Mark Park ◽  
Alexandra White ◽  
Nicole Niehoff ◽  
Katie O'Brien ◽  
Dale Sandler

Abstract Objectives Diet is a source of exposure to pesticides. Organic food consumption may lower cancer risk, possibly due to decreased exposure to pesticides. Few studies have investigated the association between organic food consumption and cancer risk and evidence on the risk of breast cancer is limited. Methods We used data from 39,563 Sister Study participants aged 35 to 74 years who enrolled in 2003–2009 and had information available on frequency of organic food consumption. Participants reported their consumption of organic produce, meat, and dairy during the past 12 months as never, less than half the time, about half the time, and more than half the time. An organic diet score was calculated by assigning scores of 0, 1, 2 and 3 for increasing consumption proportions and summing across foods (maximum score 9). We used Cox proportional hazards models to estimate adjusted hazard ratios (HR) and 95% confidence intervals (CI) for breast cancer associated with ever consuming organic foods and organic diet scores, adjusting for potential confounders, including known risk factors for breast cancer. Results At baseline, 61.8% of women reported ever eating organic produce, meat, or dairy. We identified 2336 incident breast cancers diagnosed at least 1 year after enrollment (mean follow-up 9.0 years). Any organic food consumption was inversely associated with breast cancer (HR: 0.87 [95% CI, 0.80–0.95]), especially estrogen receptor negative cancer (HR: 0.77 [95% CI, 0.61–0.98]). There was no trend with increasing organic diet score based on all organic food types. Consumption of organic produce half or more than half the time was associated with reduced risk of breast cancer compared to no organic produce consumption (HR: 0.87 [95% CI, 0.77–0.99]). There was no trend for organic dairy or meat consumption. In stratified analyses, associations did not differ by demographics, obesity, menopausal status, lifestyle characteristics, cancer screening, or degree of family history. Conclusions Although unmeasured factors associated with consuming organic foods may explain these results, organic produce consumption was associated with reduced breast cancer risk. Funding Sources National Institute of Environmental Health Sciences.

Author(s):  
Sandar Tin Tin ◽  
Gillian K. Reeves ◽  
Timothy J. Key

Abstract Background Some endogenous hormones have been associated with breast cancer risk, but the nature of these relationships is not fully understood. Methods UK Biobank was used. Hormone concentrations were measured in serum collected in 2006–2010, and in a repeat subsample (N ~ 5000) in 2012–13. Incident cancers were identified through data linkage. Cox regression models were used, and hazard ratios (HRs) corrected for regression dilution bias. Results Among 30,565 pre-menopausal and 133,294 post-menopausal women, 527 and 2,997, respectively, were diagnosed with invasive breast cancer during a median follow-up of 7.1 years. Cancer risk was positively associated with testosterone in post-menopausal women (HR per 0.5 nmol/L increment: 1.18; 95% CI: 1.14, 1.23) but not in pre-menopausal women (pheterogeneity = 0.03), and with IGF-1 (insulin-like growth factor-1) (HR per 5 nmol/L increment: 1.18; 1.02, 1.35 (pre-menopausal) and 1.07; 1.01, 1.12 (post-menopausal); pheterogeneity = 0.2), and inversely associated with SHBG (sex hormone-binding globulin) (HR per 30 nmol/L increment: 0.96; 0.79, 1.15 (pre-menopausal) and 0.89; 0.84, 0.94 (post-menopausal); pheterogeneity = 0.4). Oestradiol, assessed only in pre-menopausal women, was not associated with risk, but there were study limitations for this hormone. Conclusions This study confirms associations of testosterone, IGF-1 and SHBG with breast cancer risk, with heterogeneity by menopausal status for testosterone.


2005 ◽  
Vol 7 (5) ◽  
Author(s):  
Yong Zhu ◽  
Heather N Brown ◽  
Yawei Zhang ◽  
Theodore R Holford ◽  
Tongzhang Zheng

2018 ◽  
Vol 48 (3) ◽  
pp. 795-806 ◽  
Author(s):  
Xiang Shu ◽  
Lang Wu ◽  
Nikhil K Khankari ◽  
Xiao-Ou Shu ◽  
Thomas J Wang ◽  
...  

Abstract Background In addition to the established association between general obesity and breast cancer risk, central obesity and circulating fasting insulin and glucose have been linked to the development of this common malignancy. Findings from previous studies, however, have been inconsistent, and the nature of the associations is unclear. Methods We conducted Mendelian randomization analyses to evaluate the association of breast cancer risk, using genetic instruments, with fasting insulin, fasting glucose, 2-h glucose, body mass index (BMI) and BMI-adjusted waist-hip-ratio (WHRadj BMI). We first confirmed the association of these instruments with type 2 diabetes risk in a large diabetes genome-wide association study consortium. We then investigated their associations with breast cancer risk using individual-level data obtained from 98 842 cases and 83 464 controls of European descent in the Breast Cancer Association Consortium. Results All sets of instruments were associated with risk of type 2 diabetes. Associations with breast cancer risk were found for genetically predicted fasting insulin [odds ratio (OR) = 1.71 per standard deviation (SD) increase, 95% confidence interval (CI) = 1.26-2.31, p  =  5.09  ×  10–4], 2-h glucose (OR = 1.80 per SD increase, 95% CI = 1.3 0-2.49, p  =  4.02  ×  10–4), BMI (OR = 0.70 per 5-unit increase, 95% CI = 0.65-0.76, p  =  5.05  ×  10–19) and WHRadj BMI (OR = 0.85, 95% CI = 0.79-0.91, p  =  9.22  ×  10–6). Stratified analyses showed that genetically predicted fasting insulin was more closely related to risk of estrogen-receptor [ER]-positive cancer, whereas the associations with instruments of 2-h glucose, BMI and WHRadj BMI were consistent regardless of age, menopausal status, estrogen receptor status and family history of breast cancer. Conclusions We confirmed the previously reported inverse association of genetically predicted BMI with breast cancer risk, and showed a positive association of genetically predicted fasting insulin and 2-h glucose and an inverse association of WHRadj BMI with breast cancer risk. Our study suggests that genetically determined obesity and glucose/insulin-related traits have an important role in the aetiology of breast cancer.


Author(s):  
Khairul Nizam Mahmud ◽  
Asmat-Nizam Abdul-Talib

Organic food is becoming popular among today's millennial consumers because of increased awareness of healthy lifestyles. Scholars and practitioners attempt to understand what drives consumers to purchase organic foods toward developing market domination strategies and tactics. Since organic food tends to be more expensive than non-organic, this study aims to analyze the impact of consumer values on their tendency to buy organic food. Consumption values are an important factor that could drive consumer behavior and their preferences for goods or services. Consumption values are defined in terms of the required benefits from the purchase and consumption of the preferred products. Sheth, Newman, and Gross defined consumption values in terms of practical, social, emotional, epistemic, and conditional values.


2020 ◽  
Vol 9 (2) ◽  
pp. 367 ◽  
Author(s):  
Neb Duric ◽  
Mark Sak ◽  
Shaoqi Fan ◽  
Ruth M. Pfeiffer ◽  
Peter J. Littrup ◽  
...  

Mammographic percent density (MPD) is an independent risk factor for developing breast cancer, but its inclusion in clinical risk models provides only modest improvements in individualized risk prediction, and MPD is not typically assessed in younger women because of ionizing radiation concerns. Previous studies have shown that tissue sound speed, derived from whole breast ultrasound tomography (UST), a non-ionizing modality, is a potential surrogate marker of breast density, but prior to this study, sound speed has not been directly linked to breast cancer risk. To that end, we explored the relation of sound speed and MPD with breast cancer risk in a case-control study, including 61 cases with recent breast cancer diagnoses and a comparison group of 165 women, frequency matched to cases on age, race, and menopausal status, and with a recent negative mammogram and no personal history of breast cancer. Multivariable odds ratios (ORs) and 95% confidence intervals (CIs) were estimated for the relation of quartiles of MPD and sound speed with breast cancer risk adjusted for matching factors. Elevated MPD was associated with increased breast cancer risk, although the trend did not reach statistical significance (OR per quartile = 1.27, 95% CI: 0.95, 1.70; ptrend = 0.10). In contrast, elevated sound speed was significantly associated with breast cancer risk in a dose–response fashion (OR per quartile = 1.83, 95% CI: 1.32, 2.54; ptrend = 0.0003). The OR trend for sound speed was statistically significantly different from that observed for MPD (p = 0.005). These findings suggest that whole breast sound speed may be more strongly associated with breast cancer risk than MPD and offer future opportunities for refining the magnitude and precision of risk associations in larger, population-based studies, including women younger than usual screening ages.


2018 ◽  
Vol 178 (12) ◽  
pp. 1597 ◽  
Author(s):  
Julia Baudry ◽  
Karen E. Assmann ◽  
Mathilde Touvier ◽  
Benjamin Allès ◽  
Louise Seconda ◽  
...  

Nutrients ◽  
2019 ◽  
Vol 11 (8) ◽  
pp. 1871 ◽  
Author(s):  
Jordana Carolina Marques Godinho-Mota ◽  
Larissa Vaz Gonçalves ◽  
Joao Felipe Mota ◽  
Leonardo Ribeiro Soares ◽  
Raquel Machado Schincaglia ◽  
...  

Identification of modifiable risk factors for breast cancer is critical for primary prevention of the disease. The aim of this study was to evaluate how certain lifestyle variables modify the chances of developing breast cancer based on menopausal status. A case-control study was performed in a group of 542 women, 197 who were diagnosed with breast cancer and 344 control individuals. The groups were matched by age, body mass index, and menopausal status. Participants were evaluated for level of physical activity, alcohol consumption, smoking habit, weight, height, and waist circumference (WC). A multivariate logistic regression model was used to estimate odds ratios and 95% confidence intervals (95% CI). Regular consumption of alcoholic beverages (2.91, 95% CI 1.58–5.38 and 1.86, 95% CI 1.15–3.03) and sedentary behavior (2.08; 95% CI 1.12–3.85 and 1.81; 95% CI 1.12–2.94) were associated with breast cancer risk in pre- and postmenopausal women, respectively. High WC (3.31, 95% CI 1.45–7.55) was associated with an increased risk of developing breast cancer in premenopausal women. While in postmenopausal women, current smoking (2.43, 95% CI 1.01–5.83) or previous history of smoking (1.90; 95% CI 1.14–3.14) increased the chances of developing breast cancer. Sedentary behavior and current consumption of alcoholic beverages were more likely to increase the risk of developing breast cancer regardless of menopausal status.


Nutrients ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 731
Author(s):  
Rodrigo Sánchez-Bayona ◽  
Alfredo Gea ◽  
Itziar Gardeazabal ◽  
Andrea Romanos-Nanclares ◽  
Miguel Ángel Martínez-González ◽  
...  

Alcohol intake is associated with the risk of breast cancer. Different patterns of alcohol-drinking may have different effects on breast cancer even when keeping constant the total amount of alcohol consumed. We aimed to assess the association between binge drinking and breast cancer risk. The SUN Project is a Spanish dynamic prospective cohort of university graduates initiated in 1999. In the 556-item lifestyle baseline questionnaire a validated food-frequency questionnaire was embedded. Participants completed biennial follow-up questionnaires. Cox regression models were used to estimate the hazard ratio (HR) for breast cancer associated with the exposure to binge drinking. A stratified analysis was performed according to menopausal status. We included 9577 women (mean age = 34 years, SD = 10 years), with a median follow-up of 11.8 years. Among 104,932 women-years of follow-up, we confirmed 88 incident cases of breast cancer. Women in the binge drinking group showed a higher risk of breast cancer (HR = 1.76; 95% CI: 1.03–2.99) compared to women in the non-binge drinking category. In the stratified analysis, a 2-fold higher risk for premenopausal breast cancer was associated with binge drinking habit (HR = 2.06; 95% CI: 1.11–3.82). This study adds new evidence on the association of binge drinking with breast cancer risk.


2012 ◽  
Vol 103 (10) ◽  
pp. 1861-1870 ◽  
Author(s):  
Masaaki Kawai ◽  
Yoichiro Kakugawa ◽  
Yoshikazu Nishino ◽  
Yohei Hamanaka ◽  
Noriaki Ohuchi ◽  
...  

2021 ◽  
Vol 50 (Supplement_1) ◽  
Author(s):  
Zhoufeng Ye ◽  
Gillian Dite ◽  
John Hopper

Abstract Background Our previous work on body mass index (BMI) and breast cancer risk found that the association depended on menopausal status but not on familial risk (Hopper, JL., et al, 2018). We now consider whether weight is a more informative risk factor for breast cancer than BMI. Methods We used data from the Prospective Family Study Cohort, a consortium of international prospective cohorts that are enriched for familial risk of breast cancer and include 16,035 unaffected women from 6701 families. Participants were followed for up to 20 years (mean 10.5 years) and there were 896 incident breast cancers with a mean age at diagnosis of 55.7 years. Cox regression was used to model risk associations as a function of age, menopausal status and underlying familial risk. We calculated robust confidence intervals by clustering by family. Model comparisons were made using the Bayesian Information Criterion (BIC). Results In repeating the best-fitting model from our original analyses, but using weight instead of BMI, we found that the log likelihood for the model using weight was 1.92 units greater than for the model using BMI (difference in BIC = 3.84). Therefore, the data are almost 50 times more likely under the model using weight. Conclusions The study found positive evidence that weight gives more information on risk than does BMI. Key messages Analysing breast cancer risk in terms of weight, rather than only BMI, might give greater insight and results that are easier to convey to the public.


Sign in / Sign up

Export Citation Format

Share Document